WO2004020926A1 - Apparatus and method of sensing the temperature of a molten metal vehicle - Google Patents

Apparatus and method of sensing the temperature of a molten metal vehicle Download PDF

Info

Publication number
WO2004020926A1
WO2004020926A1 PCT/US2003/026581 US0326581W WO2004020926A1 WO 2004020926 A1 WO2004020926 A1 WO 2004020926A1 US 0326581 W US0326581 W US 0326581W WO 2004020926 A1 WO2004020926 A1 WO 2004020926A1
Authority
WO
WIPO (PCT)
Prior art keywords
molten metal
temperature
metal vehicle
thermal
car
Prior art date
Application number
PCT/US2003/026581
Other languages
French (fr)
Inventor
Steve Ignatowicz
Original Assignee
Ircon, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ircon, Inc. filed Critical Ircon, Inc.
Priority to EP03791756A priority Critical patent/EP1535010A1/en
Priority to AU2003260063A priority patent/AU2003260063A1/en
Publication of WO2004020926A1 publication Critical patent/WO2004020926A1/en

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/0003Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiant heat transfer of samples, e.g. emittance meter
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23MCASINGS, LININGS, WALLS OR DOORS SPECIALLY ADAPTED FOR COMBUSTION CHAMBERS, e.g. FIREBRIDGES; DEVICES FOR DEFLECTING AIR, FLAMES OR COMBUSTION PRODUCTS IN COMBUSTION CHAMBERS; SAFETY ARRANGEMENTS SPECIALLY ADAPTED FOR COMBUSTION APPARATUS; DETAILS OF COMBUSTION CHAMBERS, NOT OTHERWISE PROVIDED FOR
    • F23M11/00Safety arrangements
    • F23M11/04Means for supervising combustion, e.g. windows
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23MCASINGS, LININGS, WALLS OR DOORS SPECIALLY ADAPTED FOR COMBUSTION CHAMBERS, e.g. FIREBRIDGES; DEVICES FOR DEFLECTING AIR, FLAMES OR COMBUSTION PRODUCTS IN COMBUSTION CHAMBERS; SAFETY ARRANGEMENTS SPECIALLY ADAPTED FOR COMBUSTION APPARATUS; DETAILS OF COMBUSTION CHAMBERS, NOT OTHERWISE PROVIDED FOR
    • F23M5/00Casings; Linings; Walls
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/0022Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/0037Radiation pyrometry, e.g. infrared or optical thermometry for sensing the heat emitted by liquids
    • G01J5/004Radiation pyrometry, e.g. infrared or optical thermometry for sensing the heat emitted by liquids by molten metals
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02Constructional details
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02Constructional details
    • G01J5/025Interfacing a pyrometer to an external device or network; User interface
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02Constructional details
    • G01J5/026Control of working procedures of a pyrometer, other than calibration; Bandwidth calculation; Gain control
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077Imaging

Definitions

  • the disclosure generally relates to a method and device for sensing the temperature on a molten metal vehicle and, more particularly, relates to sensing and normalizing the temperature variations on a molten metal vehicle during the pouring of molten metal from the molten metal vehicle.
  • Tropedo cars Rail vehicles that are manufactured to transport molten metal are usually referred to as "torpedo cars" or “ladle cars”. These torpedo cars are filled, through an orifice located on the upper part of the car, with molten metal which may reach temperatures in excess of 2000°F. To remove the molten metal, the torpedo car body is rotated to its side, thereby allowing the molten metal to flow through the orifice out of the torpedo car. Eventually, the torpedo car through repeated use or through factors such as poor workmanship or inferior material, will experience a breach of the torpedo car body, thereby allowing the molten metal to spill.
  • foundries have implemented proactive maintenance programs to detect potential points of weakness or thinness on the torpedo body, prior to failure.
  • foundries traditionally use two thermal scanners or cameras mounted on either side of the torpedo car tracks to capture an image of the underside of the torpedo body as the torpedo car passes by. The resulting image, and more specifically, the resulting hot spots that are revealed by the pair of thermal scanners or cameras are then used to determine if and where the weak or thin areas are located on the torpedo body.
  • a larger or wider lens or one or more thermal imagers may be used, thereby eliminating or reducing the size of the missed areas on the underside of the torpedo car body.
  • the images that are produced by the thermal imagers may be distorted, due to the size of the lens required to obtain the proper field of view.
  • a disadvantage to using more than one of the thermal cameras or scanners, or the thermal imagers as described above, is the cost of having to obtain and maintain a pair of thermal cameras, scanners, or imagers.
  • a method of sensing the temperature of a molten metal vehicle includes utilizing at least one thermal imager located to the side of the molten vehicle during the dispensing of the molten metal and capturing at least one thermal image. The method further includes obtaining an area of the dispensing molten metal from the thermal image and determining the rotational position of the molten metal vehicle based on the area.
  • a method of sensing the temperature of a molten metal vehicle includes capturing at least one thermal image of the molten metal vehicle using at least one thermal imager and realizing a plurality of pixels from the thermal image. The method further includes replacing distorted pixels from the captured image with non-distorted pixels from a look-up table, thereby obtaining a thermal image representative of the molten metal vehicle.
  • a method of sensing the temperature of a molten metal vehicle includes providing a thermal imager to capture a thermal image of the molten metal vehicle thereby obtaining at least one of a reference temperature and a hot spot temperature.
  • the method further includes calculating a normalized hotspot temperature from the hotspot temperature, the reference temperature, and from earlier obtained temperature data relating to the molten metal vehicle.
  • a system for sensing the temperature of a molten metal vehicle includes at least one thermal imager and a controller that is communicably coupled to the thermal imager.
  • the controller is adapted to receive thermal image data from the thermal imager, and is programmed to identifying an area of dispensing molten metal from the thermal image to determine the rotational position of the molten metal vehicle based on the identified area.
  • a system for sensing the temperature of a molten metal vehicle is provided.
  • the system includes at least one thermal imager and a controller.
  • the controller is communicably coupled to the thermal imager and is adapted to receive thermal image data from the thermal imager.
  • the controller is programmed to realize a plurality of pixels from the thermal image, and to replace distorted pixels with non-distorted pixels from a look-up table.
  • a system for sensing the temperature of a molten metal vehicle includes at least one thermal imager and a controller.
  • the controller is communicably coupled to the thermal imager, and is adapted to receive thermal image data from the thermal imager.
  • a memory is communicably coupled to the controller, and stores past molten metal vehicle temperature data.
  • the controller is programmed to obtain current temperature data from the thermal image, and to calculate a normalized hotspot temperature from the current temperature data, and the past temperature data.
  • Fig. 1 is an isometric view of one exemplary embodiment of a temperature sensing system as constructed in accordance with the teachings of the disclosure
  • Fig. 2 is a side view of a torpedo car in an upward position
  • Fig. 3 is an end view of the torpedo car of Fig. 2;
  • Fig. 4 is a side view of the torpedo car in a pouring position
  • Fig. 5 is an end view of the torpedo car of Fig. 4;
  • Fig. 6 is a side view of the torpedo car in the upward position, and also depicting identification numbers and perimeter lines;
  • Fig. 7 is a thermal image of a side of a torpedo car in the upward position
  • Fig. 8 is a thermal image of the side of a torpedo car in the pouring position
  • Fig. 9 is a thermal image and a corresponding temperature gradient of the side of a torpedo car in the upward position (upper image) and in the pouring position
  • Fig. 10 is an exemplary routine that may be perfo ⁇ ned during the operation of the temperature sensing of the torpedo car;
  • Fig. 11 is a block diagram of the electronic components of the thermal imaging system
  • Fig. 12 is a corrected thermal image
  • Fig. 13 is a distorted thermal image.
  • Fig. 14 is a trend graph representing uncorrected thermal values over a period of time, of a torpedo car
  • Fig. 15 is a normalized trend graph of the thermal values of Fig. 14;
  • Fig. 16 is a trend graph representing uncorrected thermal values over a period of time, of a torpedo car
  • Fig. 17 is a normalized trend graph of the thermal values of Fig. 16.
  • Fig. 18 is a flowchart of one embodiment of the temperature sensing method in accordance with the teachings of the disclosure. While the disclosure is susceptible to various modifications and alternative constructions, certain illustrative embodiments thereof have been shown in the drawings and will be described below in detail. It should be understood, however, that there is no intention to limit the disclosure to the specific forms disclosed, but on the contrary, the intention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the disclosure as defined by the appended claims.
  • a molten metal vehicle or torpedo car is generally depicted by reference numeral 20.
  • the torpedo car 20 includes a body 22, a chassis 24, a pair of mounting brackets 26, pivot points 28, and wheels 30 that are adapted to travel along tracks 32.
  • the body 22 includes an orifice 34, a first end 36, a second end 38, an upperside 40 and an underside 42.
  • the body 22 is further adapted to pivot about the pivot points
  • a thermal imaging system 45 may include a thermal imager 46, thermal imaging software and a controller 48.
  • the controller 48 which may be adapted to receive the signals generated by a torpedo car sensor 50 (Fig. 11) and the thermal imager 46, may also be adapted to transmit signals.
  • the controller 48 may, for example, include a transceiver able to receive and/or transmit signals via a wireless or wire technology. More specifically, the signals generated by the torpedo car sensor 50 and/or the thermal imager 46 may be transmitted to the controller 48 via a hardwire such as RS485 or telephone technology, or via wireless technology, such as RF radio or Cellular Digital Packet Data (CDPD), or the like. Similarly, the method of transmitting a signal from the controller 48, may be accomplished via any of the above-mentioned or other ways readily recognized by those of ordinary skill in the art.
  • the controller 48 in one exemplary embodiment may include a program memory 54, a microcontroller or microprocessor (MP) 56, a random-access memory (RAM) 58 and an input/output (I/O) circuit 60, all of which may be interconnected via an address/data bus 62.
  • MP microcontroller or microprocessor
  • RAM random-access memory
  • I/O input/output circuit 60, all of which may be interconnected via an address/data bus 62.
  • the controller 48 may include additional microprocessors.
  • the memory of the controller 48 may include multiple RAMs 58 and multiple program memories 54.
  • the I/O circuit 60 is shown as a single block, it should be appreciated that the I/O circuit 60 may include a number of different types of I/O circuits.
  • the RAM(s) 58 and program memories 54 may be implemented, for example, as semiconductor memories, magnetically readable memories, and/or optically readable memories or other memories recognized by those of ordinary skill in the art.
  • Fig. 11 illustrates that the torpedo car sensor 50 and the thermal imager 46, may be operatively coupled to the I/O circuit 60.
  • Each of the above components may be so coupled by a unidirectional or bidirectional, single-line or multiple-line data link, which may depend on the design of the component that is used.
  • Components may be connected to the I/O circuit 60 via a direct line or conductor. Different connection schemes could be used. For example, one or more of the components shown in Fig. 2 may be connected to the I/O circuit 60 via a common bus or other data link that is shared by a number of components. Furthermore, those of ordinary skill in the art will recognize that some of the components may be directly connected to the microprocessor 56 without passing through the I/O circuit 60.
  • the output of the controller 48 may be connected to one or more components, including but not limited to, an alarm 64 and a display 66 adapted to receive and/or respond to a signal generated by the controller 48.
  • the means by which the signal is transmitted can, once again, vary greatly and may be similar or equal to the means by which the input signal was received.
  • the already filled torpedo cars 20 will pour, at a specific location such as a pour location, a molten metal 70 content into a chute or container 72.
  • a specific location such as a pour location
  • a molten metal 70 content into a chute or container 72.
  • the thermal imager 46 mounted and located in a manner allowing the imager 46 to obtain, during the pouring of the molten metal 70, an unobstructed view of the side opposite the pour side 44 of the torpedo cars 20.
  • the thermal imager 46 may begin capturing images.
  • the thermal imaging system 45 may determine whether the torpedo car 20 has come to a halt. The thermal imaging system 45 may know that the torpedo car 20 has come to a stop by a signal received from the torpedo car sensor 50 indicating that the torpedo car 20 has stopped. In an alternate exemplary embodiment, the thermal imaging system 45 may determine whether the torpedo car 20 has come to a stop, by programming the thermal imaging system 45 to respond to a percentage of the field of view of the thermal image.
  • the thermal imager 46 may have a field of view as can be seen in Fig. 1. As the to ⁇ edo car 20 comes into view of the thermal imager 46, a percentage of the field of view will be occupied by the to ⁇ edo car 20, a percentage will be ambient surroundings, and a percentage may be miscellaneous objects.
  • the thermal imaging system 45 may be programmed to consider the to ⁇ edo car 20 stopped when the percentage of the field occupied by the to ⁇ edo car 20 reaches above a predetermined number.
  • the thermal imaging system 45 may consider the to ⁇ edo car 20 to be stopped.
  • routine 100 is only one of many possible routines for sensing the temperature variations on the to ⁇ edo car 2.0 during the pouring of the molten metal 70 from the to ⁇ edo car 20, and that it is not the intention of the applicant to limit this disclosure to the routine 100.
  • other routines may involve more or less hardware, software and/or steps than are disclosed in the routine 100.
  • control may pass to a block 104.
  • the thermal imaging system 45 may correct distortions found in the image taken by the thermal imager 46.
  • the distorted image as seen in Fig. 13, may be distorted due to the type of lens used on the thermal imager 46, but may be distorted for other reasons as well.
  • the thermal imaging system 45 may contain a distortion correction algorithm so that the image on the screen matches the proportions seen with the human eye, as seen in the corrected image in Fig. 12.
  • the thermal imaging system 45 may use a table lookup method which may be able to map input pixel locations to output pixel locations, thereby correcting the image in real time.
  • the table may be generated when the thermal imaging system 45 determines the camera lens being used, such as a 13 mm or 25 mm lens.
  • thermal imager 46 captures an image
  • that image is represented by a number of pixels.
  • An image that is taken in a 320x240 resolution means that the image is made up of approximately 76800 pixels.
  • the pixels that are located toward any end of the image become more elongated as they approach the ends (see Fig. 13).
  • the thermal imaging system 45 may contain a database or map to allow the thermal imaging system 45 to replace an irregular pixel with a predetermined regular or non-elongated pixel, thereby producing a proper thermal image and correspondingly proper thermal values
  • the thermal imaging system 45 is able to convert the distorted or irregular images to corrected or regular images in real time using the database lookup method, thereby reducing the extended conversion time usually involved with other methods, such as those involving algorithms.
  • the step of correcting the distortion found in the images may occur after and/or during any instant an image is captured. For example, as the images are captured in the decision diamond 102, the images may be corrected as the thermal imaging system 45 determines whether the to ⁇ edo car 20 has come to a stop. Similarly, as will be described in detail below, the images may be corrected as they are obtained between a block 106 and a decision diamond 114, or at any other instant an image is captured.
  • the thermal imager 46 may establish a frame of reference relative to the to ⁇ edo car 20, by determining the boundaries of the to ⁇ edo body 22. For example, when the to ⁇ edo car 20 comes to rest in front of the thermal imager 46, the exact position at which the to ⁇ edo car 20 stops may vary from one to several inches from to ⁇ edo car to to ⁇ edo car. To compensate for this variation in location, the thermal imaging system 45 may determine a more exact position of the to ⁇ edo car 20 by determining the outline of the to ⁇ edo car body 22. As best seen in Fig.
  • the thermal imaging system 45 can determine the outline of the to ⁇ edo car body 22 by realizing the temperature variation between the to ⁇ edo car body 22 and the ambient surroundings. More specifically, the temperature of the to ⁇ edo car body 22 may be approximately two hundred to three hundred degrees Fahrenheit, and the ambient surroundings may be approximately one-hundred twenty degrees Fahrenheit. By establishing the outline of the to ⁇ edo car body 22, the thermal imaging system 45 obtains a frame of reference, such that the thermal imaging system 45 can locate any part of the to ⁇ edo car body 22. For example, as shown in Fig.
  • the thermal imaging system 45 may now be able to center the to ⁇ edo car body 22 within a frame A, and be able to locate other features relative to the frame A, such as the orifice 34 or frames B and B'. Once a frame of reference has been established, control may pass to a block 108.
  • the thermal imaging system 45 may first capture images of the to ⁇ edo car 20 in the upward position, and more specifically, may capture images of the non-pouring side 44 of the to ⁇ edo car body 22 while the orifice 34 is located to the top of the to ⁇ edo car body 22. Once the image is captured in the block 108, the thermal imaging system 45 may determine, at a decision diamond 110, whether the image captured in the block 108 is the image that shows the to ⁇ edo body 22 in the maximum flow rate position.
  • the thermal imaging system 45 may determine which image corresponds to the maximum flow rate position by capturing images of the pouring molten metal 70, from underneath the to ⁇ edo car body 22, and examining the pouring area of the molten metal 70. As can be seen in Figs. 1 and 4, as the molten metal 70 runs from the orifice 34 of the to ⁇ edo car body 22, the thermal imager 46 has a field of view that includes the molten metal 70 as it exits the orifice 34. The thermal imaging system 45, as seen in Fig. 8, may now examine the captured image taken at the block 108 and determine whether the image has the maximum amount of molten metal 70 flowing from the orifice 34.
  • the thermal imaging system 45 can differentiate the to ⁇ edo car body 22 (two hundred to three hundred degrees Fahrenheit) and the ambient surroundings (one-hundred twenty degrees Fahrenheit) from the molten metal 70 which may be approximately two thousand degrees Fahrenheit.
  • the thermal imaging system 45 may determine the maximum flow rate by calculating the area of the molten metal 70 captured by the images, and/or calculating other parameters of the molten metal area, such as height, width and/or number of pixels that are representative of the molten metal flow. If the thermal imaging system 45 determines at the decision diamond 110 that the current image contains the maximum flow rate yet taken during the pouring of the molten metal 70 from the to ⁇ edo car 20, then control may pass to a block 112.
  • the thermal imaging system 45 may save the maximum flow rate image. If a previous maximum flow rate image has been saved, the thermal imaging system 45 may replace that previously saved image with a new maximum flow rate image. For example, as will be made apparent below, the thermal imaging system 45 may take a plurality of images of the to ⁇ edo car 20 as the to ⁇ edo car 20 is in the process of dispensing the molten metal 70. As the flow rate of the molten metal 70 increases, the thermal imaging system 45 will continue to capture images, some of which may contain a flow rate greater than in any previous image. The thermal imaging system
  • the thermal imaging system 45 may, however, determine that the current image does not contain the maximum flow rate. For example, after the to ⁇ edo car 20 reaches the maximum pouring position as shown in Figs. 4 and 5, the thermal imaging system 45 may no longer receive images depicting the maximum amount of flowing molten metal 70.
  • the to ⁇ edo car 20 may eventually be in the maximum pouring position as shown in Figs. 4 and 5, at which time, the to ⁇ edo car 20 may stop rotating toward the pour side 44 and the molten metal 70 may reach its maximum flow rate from the orifice 34.
  • the to ⁇ edo car body 22 may rotate toward the non-pouring side, such that the orifice 34 returns to the upperside 42 of the to ⁇ edo car body 22.
  • the images obtained after the pour is complete may not contain any indication of molten metal 70 flowing from the orifice 34, and therefore the current image may not contain a greater flow rate compared to a previously captured image.
  • the to ⁇ edo car 20 may thereafter begin to move.
  • the thermal imaging system 45 saves the maximum flow rate image, or if the thermal imaging system 45 determines, at decision diamond 110, that the image does not contain the maximum flow rate, control may pass to the decision diamond 114. At the decision diamond 114, the thermal imaging system 45 may determine whether the to ⁇ edo car 20 is still in position and has not moved.
  • the thermal image system 45 may know that the to ⁇ edo car 20 has begun to move by a signal received from the to ⁇ edo car sensor 50, indicating that the to ⁇ edo car 20 is moving.
  • the thermal imaging system may know that the to ⁇ edo car 20 has begun to move by a signal received from the to ⁇ edo car sensor 50, indicating that the to ⁇ edo car 20 is moving.
  • the thermal imaging system may know that the to ⁇ edo car 20 has begun to move by a signal received from the to ⁇ edo car sensor 50, indicating that the to ⁇ edo car 20 is moving.
  • the thermal imaging system 45 may determine whether the to ⁇ edo car 20 has begun to move by programming the thermal imaging system 45 to respond to a percentage of the field of view of the thermal image.
  • the thermal imager 46 has a field of view as can be seen in Fig. 1. As the to ⁇ edo car 20 leaves the field of view of the thermal imager 46, a percentage of the field of view will be occupied by the to ⁇ edo car 20, a percentage will be ambient surroundings, and a percentage may be miscellaneous objects.
  • the thermal imaging system 45 may be programmed to consider the to ⁇ edo car. moving, when the percentage of the field, occupied by the to ⁇ edo car, reaches below a predetermined number. More specifically, when more than fifty percent of the thermal image is occupied by a temperature below two hundred degrees Fahrenheit (a temperature that may be representative of the ambient surroundings) the thermal imaging system 45 may consider the to ⁇ edo car 20 to be moving.
  • control may pass again to the block 106 for the thermal imaging system 45 to continue capturing images. If, however, at the decision diamond 114, the thermal imaging system 45 determines that the to ⁇ edo car 20 is moving, control may pass to a block 116.
  • the block 116 may identify the particular to ⁇ edo car 20 being scanned.
  • the thermal imaging system 45 may identify the to ⁇ edo car 20 by decoding one of the thermal images as obtained in the block 108. More specifically, as shown in Figs. 6 and 7, the to ⁇ edo car 20 may include a pair of raised numbers 74 (in this instance 18) that are located on and are integral to the to ⁇ edo car body 22. As can be seen in Fig. 7, the thermal imaging system 45 can distinguish the temperature variation between the raised numbers 74 and the remainder of the to ⁇ edo body 22, due to the lower temperature of the raised portions 74.
  • thermal image obtained of the numbers 74 may now be translated into a recognizable identification means, that may be attached to the image saved at the block 112.
  • OCR optical character recognition program
  • a type of thermal finge ⁇ rint is developed from each individual to ⁇ edo car 20, which may then be later used to identify any of the to ⁇ edo cars 20 that have been finge ⁇ rinted.
  • the finge ⁇ rint may be obtained by converting individual pixel values to binomial values based on whether the value is above or below the mean.
  • a pattern may then be matched against any stored patterns in a library for the best correlation.
  • a pattern not meeting the matching criteria may be assumed to be a to ⁇ edo car 20 not yet finge ⁇ rinted and may be automatically added to the library and given the next sequence number.
  • the identification of the to ⁇ edo car 20 is, however, not limited to the two disclosed above, and may include other forms of identification, such as manual identification, identification using an RF tag and reader identification system, or any other suitable means of identifying a to ⁇ edo car 20.
  • the means in which the to ⁇ edo car 20 is labeled is also not limited to numeric, but may also be labeled with letters, alphanumeric, or any other from of indicia.
  • control may pass to a block 118.
  • the thermal imaging system 45 may evaluate the image saved at the block 112 to determine whether any areas on the underside 42 of the to ⁇ edo body 22 fail for being weak or thin.
  • the image saved at the block 112 may be the image encapsulating the maximum flow rate of the molten metal 70 from the to ⁇ edo car body 22, and more importantly, is the image encapsulating the underside 42 of the to ⁇ edo car body 22.
  • the field of view of the thermal imager 46 captures both the flow of the molten metal 70 from the orifice 34 under the to ⁇ edo car body 22, and captures the underside 42 of the to ⁇ edo body 22, at the same time.
  • the thermal imaging system 45 is programmed to display the various temperatures of the image as captured. Above the upper image in
  • Fig. 9 is a correlating grid of temperatures which corresponds to the grid on the upper image of Fig. 9. Similarly, there is a grid of temperatures under the lower image in Fig. 9, which corresponds to the grid on the lower image of Fig. 9. As can best be seen at coordinates 5-3 on the upper image of Fig. 9, the approximate temperature of the to ⁇ edo car body 22 at that location is three hundred thirty-three degrees
  • control may pass to a block 122, where the thermal imaging system 45 may activate an alarm 64.
  • the thermal imaging system 45 may include an alarm 64 configured to activate upon receiving, or failing to receive, a signal.
  • the thermal imaging system 45 may include, as shown in Fig. 12, the alarm 64.
  • Such alarms may be audible, visual, or tactile in nature, or may be automated so as to cease operation or take other corrective action as needed.
  • the to ⁇ edo car 20 passes and the routine 100 returns to the block 102 for the thermal imaging system 45 to await for the next to ⁇ edo car 20.
  • the temperature of the to ⁇ edo car 20 may be affected by varying factors such as ambient temperatures, humidity levels, general weather conditions such as rain or snow and wind conditions.
  • the temperature measured from the to ⁇ edo car 20 may go through a normalization process, such that more accurate temperature measurement of the to ⁇ edo car 20 may be obtained. For example, on day one when one or more of the varying factors increase the overall temperature of the to ⁇ edo car, the hotspot temperature measured by the thermal scanners may be approximately five-hundred fifty degrees Fahrenheit.
  • the hotspot temperature measured by the thermal scanners may be approximately four-hundred fifty degrees Fahrenheit.
  • the user would conclude that the hotspot on the to ⁇ edo car is decreasing in temperature as usage of the to ⁇ edo car increases. This, however, would be an incorrect conclusion, which could result in unexpected failure of the to ⁇ edo car.
  • the hotspot temperature measured by the thermal scanners may be approximately four-hundred fifty degrees Fahrenheit.
  • the hotspot temperature measured by the thermal scanners may be approximately five-hundred fifty degrees Fahrenheit.
  • a normalization process is graphically depicted in Fig. 12, as exemplary routine 200.
  • the thermal imagers 46, 47 may start capturing images.
  • the thermal imaging system 45 may determine whether the to ⁇ edo car 20 has come to a halt. The thermal imaging system 45 may know that the to ⁇ edo car 20 has come to a stop by a signal received from the to ⁇ edo car sensor 50 indicating that the to ⁇ edo car 20 has stopped.
  • the thermal imaging system 45 may determine whether the to ⁇ edo car 20 has come to a stop, by programming the thermal imaging system 45 to respond to a percentage of the field of view of the thermal image as described earlier. It should be noted at this point that the routine 200 is only one of many possible routines for sensing the temperature variations on the to ⁇ edo car 20 and that it is not the intention of the applicant to limit this disclosure to the routine 200. Furthermore, other routines may involve more or less hardware, software and/or steps than are disclosed in the routine 200. Similarly, the steps as described herein may be taken out of order, as long as the intended pu ⁇ ose is accomplished. For example, the thermal imaging system 45 may include more or less thermal imagers.
  • control may pass to a block 204.
  • the thermal imaging system 45 may correct distortions found in the image taken by the thermal imager 46.
  • the thermal imager 46 may establish a frame of reference relative to the to ⁇ edo car 20, by determining the boundaries of the to ⁇ edo body 22. For example, as shown in Fig. 6, the thermal imaging system 45 may now be able to center the to ⁇ edo car body 22 within a frame
  • control may pass to a block 208.
  • the thermal imaging system 45 may capture one or more images of the to ⁇ edo car 20 with one or more thermal imagers. More specifically, the thermal imager 46 may capture an image of the first side of the to ⁇ edo car 20, and the thermal imager 47 may capture an image of the second side of the to ⁇ edo car 20. However, as will become apparent later, the number of thermal imagers may be one or more, as long as the necessary thermal data can be obtained from the thermal image(s).
  • a block 210 may identify the particular to ⁇ edo car 20 from which the images are being captured.
  • the thermal imaging system 45 may identify the to ⁇ edo car 20 by decoding one of the thermal images as obtained in the block 208. More specifically, as shown in Figs. 6, the to ⁇ edo car 20 may include a pair of raised numbers 74 (in this instance 18) that are located on and are integral to the to ⁇ edo car body 22. With the use of an optical character recognition program (OCR), the thermal image obtained of the numbers 74 may now be translated into a recognizable identification means that may be attached to the image saved at a block 220.
  • OCR optical character recognition program
  • the identification of the to ⁇ edo car 20 is, however, not limited to the one disclosed above, and may include other forms of identification, such as manual identification, identification using an RF tag and reader identification system, or any other suitable means of identifying a to ⁇ edo car 20.
  • the means in which the to ⁇ edo car 20 is labeled is also not limited to numeric, but may also be labeled with letters, alphanumeric, or any other form of indicia.
  • the thermal history of the to ⁇ edo car 20 may be obtained at a block 212.
  • the thermal history of the to ⁇ edo car may be obtained from a database located on the controller 48, but may be obtained from any viable storage means.
  • the values obtained from the thermal history of the to ⁇ edo car 20 may include thermal values representing one or more reference temperature ("RT") and a hotspot temperature (“HT”) of the to ⁇ edo car 20 over a period of time.
  • the reference temperature of the to ⁇ edo car 20 may be a temperature on the to ⁇ edo car 20 that is less affected by the temperature of the molten metal 70 than other parts of the to ⁇ edo car 20, and/or may be a temperature on the to ⁇ edo car 20 that is more effected by other temperature varying factors such as ambient temperatures, humidity levels, general weather conditions such as rain or snow and wind conditions, than other parts of the to ⁇ edo car 20.
  • the reference temperature may be obtained by measuring the temperature in or near the areas defined by Reference Point ("RP") and RP*.
  • the hotspot temperature of the to ⁇ edo car 20 is the highest indicated temperature on the to ⁇ edo car 20.
  • the hotspot temperature is most likely the temperature taken at the thinnest point on the to ⁇ edo car 20 that is in close proximity to the molten metal 70 called the "hotspot". Therefore, the hotspot and hence the hotspot temperature representative of the hotspot, is indicative of the longevity and current integrity of the to ⁇ edo car 20.
  • the user and/or software may obtain one or more reference temperatures of the to ⁇ edo car 20 via the captured image at the block 208.
  • the user and/or software may obtain one or more hotspot temperatures of the to ⁇ edo car 20 via the captured image at the block 208.
  • the user and/or software can, at a block 218, use those temperature along with the temperatures obtained from the thermal history of the to ⁇ edo car 20 to calculate or normalize the to ⁇ edo car 20 temperatures.
  • Figs. 14 and 16 are each graphical representations of uncorrected hotspot temperatures recorded from the to ⁇ edo car “17” (Fig. 14) and the to ⁇ edo car “362" (Figs. 16) over a several week period.
  • Figs. 15 and 17 are each graphical representations of corrected or normalized hotspot temperatures of the to ⁇ edo car “17” (Fig. 15) and the to ⁇ edo car “362" (Figs. 17). More specifically, as seen in Fig.
  • graph section one indicates that the hotspot temperature of to ⁇ edo car "17" is increasing from approximately three- hundred fifty degrees Fahrenheit to approximately four hundred seventy-five degrees Fahrenheit. This would indicate that the to ⁇ edo car “17” is becoming weaker and its walls are getting thinner, which would hence indicate that the to ⁇ edo car “ 17” needs to be pulled from service if the maximum allowable hotspot temperature is five hundred degrees Fahrenheit. Once the hotspot temperature is normalized, however, (Fig. 15) it becomes obvious that the hotspot temperature of the to ⁇ edo car "17” is in fact not increasing, but is staying approximately the same at three hundred seventy- five degrees Fahrenheit.
  • the user and/or software obtains past reference temperatures ("RT") from the to ⁇ edo car 20 and averages those temperate values ("ANRT"). By averaging the past reference temperature values, a more realistic and true reference temperature is obtained. In other words, by averaging the past reference temperatures, the temperature variants due to external factors, such as weather and ambient temperature, are removed.
  • the actual temperature variations (“ATV”), due to external factors, affecting the to ⁇ edo 20 can be obtained by subtracting the reference temperature (RT) from the average of the past reference temperatures (“AVRT”).
  • the corrected or normalized hotspot temperature (“NORMHSPOT”) is then obtained by adding the actual temperature variations (ATV) to the hotspot temperature (HT).
  • the temperature information may be saved to the database of the controller 48, or to any other means of storing information.
  • the to ⁇ edo body 22 may, at a decision diamond 224, be deemed to have a weak or thin spot that may jeopardize the integrity of the to ⁇ edo car body 22. If such a determination is made, control may pass to a block 226, where the thermal imaging system 45 may activate an alarm 64.
  • the thermal imaging system 45 may include an alarm 64 configured to activate upon receiving, or failing to receive, a signal.
  • the thermal imaging system 45 may include, as shown in Fig. 11, the alarm 64.
  • Such alarms may be audible, visual, or tactile in nature, or may be automated so as to cease operation or take other corrective action as needed.
  • the to ⁇ edo car 20 passes and the routine 200 returns to the block 202 for the thermal imaging system 45 to await the next to ⁇ edo car 20.

Abstract

In accordance with one aspect of the disclosure, a method of sensing the temperature of a molten metal vehicle is provided. In one exemplary embodiment, the method includes utilizing at least one thermal imager located to the side of the molten metal during the dispensing of the molten metal and capturing at least one thermal image for determining the rotational position of the molten metal vehicle by calculating an area of the molten metal.

Description

APPARATUS AND METHOD OF SENSING THE TEMPERATURE OF A MOLTEN METAL VEHICLE
CROSS-REFERENCE TO RELATED APPLICATION The present application is a non-provisional application based on, and claiming the priority benefit of, co-pending U.S. provisional application Serial No. 60/406,291, which was filed on August 27, 2002, and co-pending U.S. provisional application Serial No. 60/444,870, which was filed on February 4, 2003.
FIELD OF THE DISCLOSURE
The disclosure generally relates to a method and device for sensing the temperature on a molten metal vehicle and, more particularly, relates to sensing and normalizing the temperature variations on a molten metal vehicle during the pouring of molten metal from the molten metal vehicle.
BACKGROUND OF THE DISCLOSURE Rail vehicles that are manufactured to transport molten metal are usually referred to as "torpedo cars" or "ladle cars". These torpedo cars are filled, through an orifice located on the upper part of the car, with molten metal which may reach temperatures in excess of 2000°F. To remove the molten metal, the torpedo car body is rotated to its side, thereby allowing the molten metal to flow through the orifice out of the torpedo car. Eventually, the torpedo car through repeated use or through factors such as poor workmanship or inferior material, will experience a breach of the torpedo car body, thereby allowing the molten metal to spill. To prevent such a spill from occurring, many foundries have implemented proactive maintenance programs to detect potential points of weakness or thinness on the torpedo body, prior to failure. As part of the maintenance program, foundries traditionally use two thermal scanners or cameras mounted on either side of the torpedo car tracks to capture an image of the underside of the torpedo body as the torpedo car passes by. The resulting image, and more specifically, the resulting hot spots that are revealed by the pair of thermal scanners or cameras are then used to determine if and where the weak or thin areas are located on the torpedo body.
Unfortunately, due to the narrow field of view of the thermal scanners or cameras and due to their limited mounting positions for obtaining an image of the underside of the torpedo car body, certain areas of the underside of the torpedo car body are blocked or missed, creating the possibility of missing thin and weak areas.
To obtain a larger field of view, a larger or wider lens or one or more thermal imagers may be used, thereby eliminating or reducing the size of the missed areas on the underside of the torpedo car body. However, the images that are produced by the thermal imagers may be distorted, due to the size of the lens required to obtain the proper field of view. Additionally, a disadvantage to using more than one of the thermal cameras or scanners, or the thermal imagers as described above, is the cost of having to obtain and maintain a pair of thermal cameras, scanners, or imagers.
Furthermore, due to many varying factors such as ambient temperatures, humidity levels, general weather conditions such as rain, snow, and the hotspots that are revealed by the thermal scanners or cameras can vary greatly on the same torpedo car depending on the those same varying factors. The lack of compensation for these varying factors may, therefore, provide for inaccurate temperature measurements. SUMMARY OF THE DISCLOSURE In accordance with one aspect of the disclosure, a method of sensing the temperature of a molten metal vehicle is provided. In one exemplary embodiment, the method includes utilizing at least one thermal imager located to the side of the molten vehicle during the dispensing of the molten metal and capturing at least one thermal image. The method further includes obtaining an area of the dispensing molten metal from the thermal image and determining the rotational position of the molten metal vehicle based on the area.
In accordance with another aspect of the disclosure, a method of sensing the temperature of a molten metal vehicle is provided. The method includes capturing at least one thermal image of the molten metal vehicle using at least one thermal imager and realizing a plurality of pixels from the thermal image. The method further includes replacing distorted pixels from the captured image with non-distorted pixels from a look-up table, thereby obtaining a thermal image representative of the molten metal vehicle.
In accordance with another aspect of the disclosure, a method of sensing the temperature of a molten metal vehicle is provided. In one exemplary embodiment, the method includes providing a thermal imager to capture a thermal image of the molten metal vehicle thereby obtaining at least one of a reference temperature and a hot spot temperature. The method further includes calculating a normalized hotspot temperature from the hotspot temperature, the reference temperature, and from earlier obtained temperature data relating to the molten metal vehicle.
In accordance with another aspect of the disclosure, a system for sensing the temperature of a molten metal vehicle is provided. The system includes at least one thermal imager and a controller that is communicably coupled to the thermal imager. The controller is adapted to receive thermal image data from the thermal imager, and is programmed to identifying an area of dispensing molten metal from the thermal image to determine the rotational position of the molten metal vehicle based on the identified area. In accordance with another aspect of the disclosure, a system for sensing the temperature of a molten metal vehicle is provided. The system includes at least one thermal imager and a controller. The controller is communicably coupled to the thermal imager and is adapted to receive thermal image data from the thermal imager. The controller is programmed to realize a plurality of pixels from the thermal image, and to replace distorted pixels with non-distorted pixels from a look-up table.
In accordance with another aspect of the disclosure, a system for sensing the temperature of a molten metal vehicle is provided. The system includes at least one thermal imager and a controller. The controller is communicably coupled to the thermal imager, and is adapted to receive thermal image data from the thermal imager. A memory is communicably coupled to the controller, and stores past molten metal vehicle temperature data. The controller is programmed to obtain current temperature data from the thermal image, and to calculate a normalized hotspot temperature from the current temperature data, and the past temperature data.
These and other aspects and features of the disclosure will be more readily understood upon reading the following detailed description when taken in conjunction with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is an isometric view of one exemplary embodiment of a temperature sensing system as constructed in accordance with the teachings of the disclosure; Fig. 2 is a side view of a torpedo car in an upward position;
Fig. 3 is an end view of the torpedo car of Fig. 2;
Fig. 4 is a side view of the torpedo car in a pouring position;
Fig. 5 is an end view of the torpedo car of Fig. 4; Fig. 6 is a side view of the torpedo car in the upward position, and also depicting identification numbers and perimeter lines;
Fig. 7 is a thermal image of a side of a torpedo car in the upward position;
Fig. 8 is a thermal image of the side of a torpedo car in the pouring position;
Fig. 9 is a thermal image and a corresponding temperature gradient of the side of a torpedo car in the upward position (upper image) and in the pouring position
(lower image);
Fig. 10 is an exemplary routine that may be perfoπned during the operation of the temperature sensing of the torpedo car;
Fig. 11 is a block diagram of the electronic components of the thermal imaging system;
Fig. 12 is a corrected thermal image;
Fig. 13 is a distorted thermal image.
Fig. 14 is a trend graph representing uncorrected thermal values over a period of time, of a torpedo car; Fig. 15 is a normalized trend graph of the thermal values of Fig. 14;
Fig. 16 is a trend graph representing uncorrected thermal values over a period of time, of a torpedo car;
Fig. 17 is a normalized trend graph of the thermal values of Fig. 16; and
Fig. 18 is a flowchart of one embodiment of the temperature sensing method in accordance with the teachings of the disclosure. While the disclosure is susceptible to various modifications and alternative constructions, certain illustrative embodiments thereof have been shown in the drawings and will be described below in detail. It should be understood, however, that there is no intention to limit the disclosure to the specific forms disclosed, but on the contrary, the intention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the disclosure as defined by the appended claims.
DETAILED DESCRIPTION OF THE DISCLOSURE - - Referring now to the drawings, and with specific reference to Fig. 1 , a molten metal vehicle or torpedo car is generally depicted by reference numeral 20. As shown therein, the torpedo car 20 includes a body 22, a chassis 24, a pair of mounting brackets 26, pivot points 28, and wheels 30 that are adapted to travel along tracks 32. The body 22 includes an orifice 34, a first end 36, a second end 38, an upperside 40 and an underside 42. The body 22 is further adapted to pivot about the pivot points
28 located at the first and second ends 36, 38, thereby allowing the orifice 34 located near the upperside 42 of the body 22, to be rotated from a ninety degree position as shown in Fig. 3, to an approximate two-hundred forty degree position as shown in Fig. 5. The side to which the orifice 34 rotates is the pour side 44. In one exemplary embodiment as depicted Fig, 1, a thermal imaging system 45 may include a thermal imager 46, thermal imaging software and a controller 48. The controller 48, which may be adapted to receive the signals generated by a torpedo car sensor 50 (Fig. 11) and the thermal imager 46, may also be adapted to transmit signals. The controller 48 may, for example, include a transceiver able to receive and/or transmit signals via a wireless or wire technology. More specifically, the signals generated by the torpedo car sensor 50 and/or the thermal imager 46 may be transmitted to the controller 48 via a hardwire such as RS485 or telephone technology, or via wireless technology, such as RF radio or Cellular Digital Packet Data (CDPD), or the like. Similarly, the method of transmitting a signal from the controller 48, may be accomplished via any of the above-mentioned or other ways readily recognized by those of ordinary skill in the art.
More specifically, as shown in the block diagram of Fig. 11 , a number of components may comprise the controller 48. The controller 48 in one exemplary embodiment may include a program memory 54, a microcontroller or microprocessor (MP) 56, a random-access memory (RAM) 58 and an input/output (I/O) circuit 60, all of which may be interconnected via an address/data bus 62. It should be appreciated that although only one microprocessor 56 is shown, the controller 48 may include additional microprocessors. Similarly, the memory of the controller 48 may include multiple RAMs 58 and multiple program memories 54. Although the I/O circuit 60 is shown as a single block, it should be appreciated that the I/O circuit 60 may include a number of different types of I/O circuits. The RAM(s) 58 and program memories 54 may be implemented, for example, as semiconductor memories, magnetically readable memories, and/or optically readable memories or other memories recognized by those of ordinary skill in the art.
Fig. 11 illustrates that the torpedo car sensor 50 and the thermal imager 46, may be operatively coupled to the I/O circuit 60. Each of the above components may be so coupled by a unidirectional or bidirectional, single-line or multiple-line data link, which may depend on the design of the component that is used.
Components may be connected to the I/O circuit 60 via a direct line or conductor. Different connection schemes could be used. For example, one or more of the components shown in Fig. 2 may be connected to the I/O circuit 60 via a common bus or other data link that is shared by a number of components. Furthermore, those of ordinary skill in the art will recognize that some of the components may be directly connected to the microprocessor 56 without passing through the I/O circuit 60. The output of the controller 48 may be connected to one or more components, including but not limited to, an alarm 64 and a display 66 adapted to receive and/or respond to a signal generated by the controller 48. The means by which the signal is transmitted can, once again, vary greatly and may be similar or equal to the means by which the input signal was received. In operation, (as shown in a comparison between Figs. 2 and 4) the already filled torpedo cars 20 will pour, at a specific location such as a pour location, a molten metal 70 content into a chute or container 72. Located at the pour location is the thermal imager 46 mounted and located in a manner allowing the imager 46 to obtain, during the pouring of the molten metal 70, an unobstructed view of the side opposite the pour side 44 of the torpedo cars 20.
One embodiment of this operation is depicted graphically in an exemplary routine 100, provided in Fig. 10. Once the torpedo car 20 comes to a stop at the pour location, the thermal imager 46 may begin capturing images. At a block 102, the thermal imaging system 45 may determine whether the torpedo car 20 has come to a halt. The thermal imaging system 45 may know that the torpedo car 20 has come to a stop by a signal received from the torpedo car sensor 50 indicating that the torpedo car 20 has stopped. In an alternate exemplary embodiment, the thermal imaging system 45 may determine whether the torpedo car 20 has come to a stop, by programming the thermal imaging system 45 to respond to a percentage of the field of view of the thermal image. For example, the thermal imager 46 may have a field of view as can be seen in Fig. 1. As the toφedo car 20 comes into view of the thermal imager 46, a percentage of the field of view will be occupied by the toφedo car 20, a percentage will be ambient surroundings, and a percentage may be miscellaneous objects. The thermal imaging system 45 may be programmed to consider the toφedo car 20 stopped when the percentage of the field occupied by the toφedo car 20 reaches above a predetermined number. More specifically, when more than fifty percent of the thermal image is occupied by a temperature in the range of two hundred to three hundred degrees Fahrenheit (a temperature range that may be representative of the toφedo car 20) the thermal imaging system 45 may consider the toφedo car 20 to be stopped.
It should be noted at this point that the routine 100 is only one of many possible routines for sensing the temperature variations on the toφedo car 2.0 during the pouring of the molten metal 70 from the toφedo car 20, and that it is not the intention of the applicant to limit this disclosure to the routine 100. Furthermore, other routines may involve more or less hardware, software and/or steps than are disclosed in the routine 100.
After the thermal imaging system 45 has determined whether the toφedo car 20 has come to a halt at the decision diamond 102, control may pass to a block 104. At the block 104, the thermal imaging system 45 may correct distortions found in the image taken by the thermal imager 46. The distorted image, as seen in Fig. 13, may be distorted due to the type of lens used on the thermal imager 46, but may be distorted for other reasons as well. The thermal imaging system 45, for example, may contain a distortion correction algorithm so that the image on the screen matches the proportions seen with the human eye, as seen in the corrected image in Fig. 12. Alternatively, in one exemplary embodiment, the thermal imaging system 45 may use a table lookup method which may be able to map input pixel locations to output pixel locations, thereby correcting the image in real time. The table may be generated when the thermal imaging system 45 determines the camera lens being used, such as a 13 mm or 25 mm lens.
For example, once the thermal imager 46 captures an image, that image is represented by a number of pixels. An image that is taken in a 320x240 resolution, for example, means that the image is made up of approximately 76800 pixels. As the image is captured, however, due to lens properties, the pixels that are located toward any end of the image become more elongated as they approach the ends (see Fig. 13).
The image therefore becomes distorted, resulting in an incorrect representation of the actual occurrence. To convert the elongated or irregular pixels, the thermal imaging system 45 may contain a database or map to allow the thermal imaging system 45 to replace an irregular pixel with a predetermined regular or non-elongated pixel, thereby producing a proper thermal image and correspondingly proper thermal values
(see Fig. 12).
It is worthy to note that the thermal imaging system 45 is able to convert the distorted or irregular images to corrected or regular images in real time using the database lookup method, thereby reducing the extended conversion time usually involved with other methods, such as those involving algorithms. Furthermore, the step of correcting the distortion found in the images may occur after and/or during any instant an image is captured. For example, as the images are captured in the decision diamond 102, the images may be corrected as the thermal imaging system 45 determines whether the toφedo car 20 has come to a stop. Similarly, as will be described in detail below, the images may be corrected as they are obtained between a block 106 and a decision diamond 114, or at any other instant an image is captured.
In one exemplary embodiment, at a block 106, the thermal imager 46 may establish a frame of reference relative to the toφedo car 20, by determining the boundaries of the toφedo body 22. For example, when the toφedo car 20 comes to rest in front of the thermal imager 46, the exact position at which the toφedo car 20 stops may vary from one to several inches from toφedo car to toφedo car. To compensate for this variation in location, the thermal imaging system 45 may determine a more exact position of the toφedo car 20 by determining the outline of the toφedo car body 22. As best seen in Fig. 8, the thermal imaging system 45 can determine the outline of the toφedo car body 22 by realizing the temperature variation between the toφedo car body 22 and the ambient surroundings. More specifically, the temperature of the toφedo car body 22 may be approximately two hundred to three hundred degrees Fahrenheit, and the ambient surroundings may be approximately one-hundred twenty degrees Fahrenheit. By establishing the outline of the toφedo car body 22, the thermal imaging system 45 obtains a frame of reference, such that the thermal imaging system 45 can locate any part of the toφedo car body 22. For example, as shown in Fig. 6, the thermal imaging system 45 may now be able to center the toφedo car body 22 within a frame A, and be able to locate other features relative to the frame A, such as the orifice 34 or frames B and B'. Once a frame of reference has been established, control may pass to a block 108.
At the block 108, as shown in Figs. 2 and 7, the thermal imaging system 45 may first capture images of the toφedo car 20 in the upward position, and more specifically, may capture images of the non-pouring side 44 of the toφedo car body 22 while the orifice 34 is located to the top of the toφedo car body 22. Once the image is captured in the block 108, the thermal imaging system 45 may determine, at a decision diamond 110, whether the image captured in the block 108 is the image that shows the toφedo body 22 in the maximum flow rate position. The thermal imaging system 45 may determine which image corresponds to the maximum flow rate position by capturing images of the pouring molten metal 70, from underneath the toφedo car body 22, and examining the pouring area of the molten metal 70. As can be seen in Figs. 1 and 4, as the molten metal 70 runs from the orifice 34 of the toφedo car body 22, the thermal imager 46 has a field of view that includes the molten metal 70 as it exits the orifice 34. The thermal imaging system 45, as seen in Fig. 8, may now examine the captured image taken at the block 108 and determine whether the image has the maximum amount of molten metal 70 flowing from the orifice 34. More specifically, the thermal imaging system 45 can differentiate the toφedo car body 22 (two hundred to three hundred degrees Fahrenheit) and the ambient surroundings (one-hundred twenty degrees Fahrenheit) from the molten metal 70 which may be approximately two thousand degrees Fahrenheit. The thermal imaging system 45 may determine the maximum flow rate by calculating the area of the molten metal 70 captured by the images, and/or calculating other parameters of the molten metal area, such as height, width and/or number of pixels that are representative of the molten metal flow. If the thermal imaging system 45 determines at the decision diamond 110 that the current image contains the maximum flow rate yet taken during the pouring of the molten metal 70 from the toφedo car 20, then control may pass to a block 112. At the block 112 the thermal imaging system 45 may save the maximum flow rate image. If a previous maximum flow rate image has been saved, the thermal imaging system 45 may replace that previously saved image with a new maximum flow rate image. For example, as will be made apparent below, the thermal imaging system 45 may take a plurality of images of the toφedo car 20 as the toφedo car 20 is in the process of dispensing the molten metal 70. As the flow rate of the molten metal 70 increases, the thermal imaging system 45 will continue to capture images, some of which may contain a flow rate greater than in any previous image. The thermal imaging system
45 may, therefore, replace the earlier maximum image with the new maximum image.
At the decision diamond 110, the thermal imaging system 45 may, however, determine that the current image does not contain the maximum flow rate. For example, after the toφedo car 20 reaches the maximum pouring position as shown in Figs. 4 and 5, the thermal imaging system 45 may no longer receive images depicting the maximum amount of flowing molten metal 70.
More specifically, the toφedo car 20 may eventually be in the maximum pouring position as shown in Figs. 4 and 5, at which time, the toφedo car 20 may stop rotating toward the pour side 44 and the molten metal 70 may reach its maximum flow rate from the orifice 34. Once the pour is complete or the toφedo car 20 is empty, the toφedo car body 22 may rotate toward the non-pouring side, such that the orifice 34 returns to the upperside 42 of the toφedo car body 22. The images obtained after the pour is complete may not contain any indication of molten metal 70 flowing from the orifice 34, and therefore the current image may not contain a greater flow rate compared to a previously captured image.
Once the toφedo car has returned the orifice 34 to the upperside 40 of the toφedo car 20, the toφedo car 20 may thereafter begin to move.
After, at the block 112, the thermal imaging system 45 saves the maximum flow rate image, or if the thermal imaging system 45 determines, at decision diamond 110, that the image does not contain the maximum flow rate, control may pass to the decision diamond 114. At the decision diamond 114, the thermal imaging system 45 may determine whether the toφedo car 20 is still in position and has not moved.
The thermal image system 45 may know that the toφedo car 20 has begun to move by a signal received from the toφedo car sensor 50, indicating that the toφedo car 20 is moving. In an alternate exemplary embodiment, the thermal imaging system
45 may determine whether the toφedo car 20 has begun to move by programming the thermal imaging system 45 to respond to a percentage of the field of view of the thermal image.
For example, the thermal imager 46 has a field of view as can be seen in Fig. 1. As the toφedo car 20 leaves the field of view of the thermal imager 46, a percentage of the field of view will be occupied by the toφedo car 20, a percentage will be ambient surroundings, and a percentage may be miscellaneous objects. The thermal imaging system 45 may be programmed to consider the toφedo car. moving, when the percentage of the field, occupied by the toφedo car, reaches below a predetermined number. More specifically, when more than fifty percent of the thermal image is occupied by a temperature below two hundred degrees Fahrenheit (a temperature that may be representative of the ambient surroundings) the thermal imaging system 45 may consider the toφedo car 20 to be moving.
If at the decision diamond 114, the thermal imaging system 45 determines that the toφedo car 20 has not moved, control may pass again to the block 106 for the thermal imaging system 45 to continue capturing images. If, however, at the decision diamond 114, the thermal imaging system 45 determines that the toφedo car 20 is moving, control may pass to a block 116.
After decision diamond 114, the block 116 may identify the particular toφedo car 20 being scanned. In one exemplary embodiment, the thermal imaging system 45 may identify the toφedo car 20 by decoding one of the thermal images as obtained in the block 108. More specifically, as shown in Figs. 6 and 7, the toφedo car 20 may include a pair of raised numbers 74 (in this instance 18) that are located on and are integral to the toφedo car body 22. As can be seen in Fig. 7, the thermal imaging system 45 can distinguish the temperature variation between the raised numbers 74 and the remainder of the toφedo body 22, due to the lower temperature of the raised portions 74. With the use of an optical character recognition program (OCR), the thermal image obtained of the numbers 74 may now be translated into a recognizable identification means, that may be attached to the image saved at the block 112. In an alternate exemplary embodiment, a type of thermal fingeφrint is developed from each individual toφedo car 20, which may then be later used to identify any of the toφedo cars 20 that have been fingeφrinted. The fingeφrint may be obtained by converting individual pixel values to binomial values based on whether the value is above or below the mean. A pattern may then be matched against any stored patterns in a library for the best correlation. A pattern not meeting the matching criteria may be assumed to be a toφedo car 20 not yet fingeφrinted and may be automatically added to the library and given the next sequence number.
The identification of the toφedo car 20 is, however, not limited to the two disclosed above, and may include other forms of identification, such as manual identification, identification using an RF tag and reader identification system, or any other suitable means of identifying a toφedo car 20. The means in which the toφedo car 20 is labeled, is also not limited to numeric, but may also be labeled with letters, alphanumeric, or any other from of indicia.
After the toφedo car 20 is identified, at the block 116, control may pass to a block 118. At the block 118, the thermal imaging system 45 may evaluate the image saved at the block 112 to determine whether any areas on the underside 42 of the toφedo body 22 fail for being weak or thin. The image saved at the block 112 may be the image encapsulating the maximum flow rate of the molten metal 70 from the toφedo car body 22, and more importantly, is the image encapsulating the underside 42 of the toφedo car body 22. As can be seen in Figs. 1 and 4, the field of view of the thermal imager 46 captures both the flow of the molten metal 70 from the orifice 34 under the toφedo car body 22, and captures the underside 42 of the toφedo body 22, at the same time.
As can best be seen in Fig. 9, the thermal imaging system 45 is programmed to display the various temperatures of the image as captured. Above the upper image in
Fig. 9, is a correlating grid of temperatures which corresponds to the grid on the upper image of Fig. 9. Similarly, there is a grid of temperatures under the lower image in Fig. 9, which corresponds to the grid on the lower image of Fig. 9. As can best be seen at coordinates 5-3 on the upper image of Fig. 9, the approximate temperature of the toφedo car body 22 at that location is three hundred thirty-three degrees
Fahrenheit and is represented by a light color. If the temperature or color on the image is above a certain predetermined value the toφedo body 22 may, at a decision diamond 120, be deemed to have a weak or thin spot that may jeopardize the integrity of the toφedo car body 22. If such a determination is made, control may pass to a block 122, where the thermal imaging system 45 may activate an alarm 64. The thermal imaging system 45 may include an alarm 64 configured to activate upon receiving, or failing to receive, a signal. As such, in one exemplary embodiment, the thermal imaging system 45 may include, as shown in Fig. 12, the alarm 64. Such alarms may be audible, visual, or tactile in nature, or may be automated so as to cease operation or take other corrective action as needed.
If, however, at the decision diamond 120 the thermal imaging system 45 determines that all the temperature values and hence the integrity of the toφedo body 22 are within the acceptable predetermined limits, the toφedo car 20 passes and the routine 100 returns to the block 102 for the thermal imaging system 45 to await for the next toφedo car 20.
In another exemplary embodiment, the temperature of the toφedo car 20 may be affected by varying factors such as ambient temperatures, humidity levels, general weather conditions such as rain or snow and wind conditions. To account for such varying factors, the temperature measured from the toφedo car 20 may go through a normalization process, such that more accurate temperature measurement of the toφedo car 20 may be obtained. For example, on day one when one or more of the varying factors increase the overall temperature of the toφedo car, the hotspot temperature measured by the thermal scanners may be approximately five-hundred fifty degrees Fahrenheit. On day two, however, when one or more of the varying factors decrease the overall temperature of the toφedo car, the hotspot temperature measured by the thermal scanners may be approximately four-hundred fifty degrees Fahrenheit. When comparing the temperature data of the hotspots of the toφedo car over the two days, the user would conclude that the hotspot on the toφedo car is decreasing in temperature as usage of the toφedo car increases. This, however, would be an incorrect conclusion, which could result in unexpected failure of the toφedo car.
Similarly, if one or more of the varying factors decreases the overall temperature of the toφedo car on day one, the hotspot temperature measured by the thermal scanners may be approximately four-hundred fifty degrees Fahrenheit. On day two, however, when one or more of the varying factors increases the overall temperature of the toφedo car, the hotspot temperature measured by the thermal scanners may be approximately five-hundred fifty degrees Fahrenheit. When comparing the temperature data of the hotspots of the toφedo car over these two days, the user would conclude that the hotspot on the toφedo car is increasing in temperature as usage of the toφedo car increases. This, however, would again be an incorrect conclusion, which could result in the removal of the toφedo car from service when in fact it is still operating within acceptable temperatures. One exemplary embodiment of a normalization process is graphically depicted in Fig. 12, as exemplary routine 200. Once the toφedo car 20 comes to a stop at the pour location, the thermal imagers 46, 47 may start capturing images. At a decision diamond 202, the thermal imaging system 45 may determine whether the toφedo car 20 has come to a halt. The thermal imaging system 45 may know that the toφedo car 20 has come to a stop by a signal received from the toφedo car sensor 50 indicating that the toφedo car 20 has stopped. In an alternate exemplary embodiment, the thermal imaging system 45 may determine whether the toφedo car 20 has come to a stop, by programming the thermal imaging system 45 to respond to a percentage of the field of view of the thermal image as described earlier. It should be noted at this point that the routine 200 is only one of many possible routines for sensing the temperature variations on the toφedo car 20 and that it is not the intention of the applicant to limit this disclosure to the routine 200. Furthermore, other routines may involve more or less hardware, software and/or steps than are disclosed in the routine 200. Similarly, the steps as described herein may be taken out of order, as long as the intended puφose is accomplished. For example, the thermal imaging system 45 may include more or less thermal imagers.
After the thermal imaging system 45 has determined whether the toφedo car 20 has come to a halt at the decision diamond 202, control may pass to a block 204. At the block 204, the thermal imaging system 45 may correct distortions found in the image taken by the thermal imager 46.
In one exemplary embodiment, at a block 206, the thermal imager 46 may establish a frame of reference relative to the toφedo car 20, by determining the boundaries of the toφedo body 22. For example, as shown in Fig. 6, the thermal imaging system 45 may now be able to center the toφedo car body 22 within a frame
A, and be able to locate other features relative to the frame A, such as the orifice 34, frames B and B' and frames RP and RP'. Once a frame of reference has been established, control may pass to a block 208.
At the block 208, the thermal imaging system 45 may capture one or more images of the toφedo car 20 with one or more thermal imagers. More specifically, the thermal imager 46 may capture an image of the first side of the toφedo car 20, and the thermal imager 47 may capture an image of the second side of the toφedo car 20. However, as will become apparent later, the number of thermal imagers may be one or more, as long as the necessary thermal data can be obtained from the thermal image(s).
After block 208, a block 210 may identify the particular toφedo car 20 from which the images are being captured. In one exemplary embodiment, the thermal imaging system 45 may identify the toφedo car 20 by decoding one of the thermal images as obtained in the block 208. More specifically, as shown in Figs. 6, the toφedo car 20 may include a pair of raised numbers 74 (in this instance 18) that are located on and are integral to the toφedo car body 22. With the use of an optical character recognition program (OCR), the thermal image obtained of the numbers 74 may now be translated into a recognizable identification means that may be attached to the image saved at a block 220. The identification of the toφedo car 20 is, however, not limited to the one disclosed above, and may include other forms of identification, such as manual identification, identification using an RF tag and reader identification system, or any other suitable means of identifying a toφedo car 20. The means in which the toφedo car 20 is labeled, is also not limited to numeric, but may also be labeled with letters, alphanumeric, or any other form of indicia.
After the toφedo car has been identified at the block 210, the thermal history of the toφedo car 20 may be obtained at a block 212. The thermal history of the toφedo car may be obtained from a database located on the controller 48, but may be obtained from any viable storage means. The values obtained from the thermal history of the toφedo car 20 may include thermal values representing one or more reference temperature ("RT") and a hotspot temperature ("HT") of the toφedo car 20 over a period of time.
The reference temperature of the toφedo car 20 may be a temperature on the toφedo car 20 that is less affected by the temperature of the molten metal 70 than other parts of the toφedo car 20, and/or may be a temperature on the toφedo car 20 that is more effected by other temperature varying factors such as ambient temperatures, humidity levels, general weather conditions such as rain or snow and wind conditions, than other parts of the toφedo car 20. For example, as seen in Fig. 6, the reference temperature may be obtained by measuring the temperature in or near the areas defined by Reference Point ("RP") and RP*. These areas are less affected by the temperature of the molten metal 70 and/or are more affected by other temperature varying factors, because these areas are removed enough from the molten metal to exhibit temperature variations independent of the molten metal temperature, and are close enough to be exposed to the same temperature varying factors. The hotspot temperature of the toφedo car 20 is the highest indicated temperature on the toφedo car 20. For example, the hotspot temperature is most likely the temperature taken at the thinnest point on the toφedo car 20 that is in close proximity to the molten metal 70 called the "hotspot". Therefore, the hotspot and hence the hotspot temperature representative of the hotspot, is indicative of the longevity and current integrity of the toφedo car 20.
At a block 214 the user and/or software may obtain one or more reference temperatures of the toφedo car 20 via the captured image at the block 208. Similarly, at a block 216 the user and/or software may obtain one or more hotspot temperatures of the toφedo car 20 via the captured image at the block 208. Once the current hotspot temperature and reference temperature is obtained from the toφedo car 20, the user and/or software can, at a block 218, use those temperature along with the temperatures obtained from the thermal history of the toφedo car 20 to calculate or normalize the toφedo car 20 temperatures.
For example, as seen in Figs. 14 and 16, the hotspot temperatures of toφedo cars "17" and "362" vary from day to day. (Figs. 14 and 16 are each graphical representations of uncorrected hotspot temperatures recorded from the toφedo car "17" (Fig. 14) and the toφedo car "362" (Figs. 16) over a several week period. Figs. 15 and 17 are each graphical representations of corrected or normalized hotspot temperatures of the toφedo car "17" (Fig. 15) and the toφedo car "362" (Figs. 17). More specifically, as seen in Fig. 14, graph section one indicates that the hotspot temperature of toφedo car "17" is increasing from approximately three- hundred fifty degrees Fahrenheit to approximately four hundred seventy-five degrees Fahrenheit. This would indicate that the toφedo car "17" is becoming weaker and its walls are getting thinner, which would hence indicate that the toφedo car " 17" needs to be pulled from service if the maximum allowable hotspot temperature is five hundred degrees Fahrenheit. Once the hotspot temperature is normalized, however, (Fig. 15) it becomes obvious that the hotspot temperature of the toφedo car "17" is in fact not increasing, but is staying approximately the same at three hundred seventy- five degrees Fahrenheit.
Similarly, as seen in Fig. 16, graph section one indicates that the hotspot temperature of toφedo car "362" is decreasing from approximately five hundred degrees Fahrenheit to approximately four-hundred fifty degrees Fahrenheit. This would indicate that the toφedo car "362" is becoming stronger and its walls are getting thicker, which would hence indicated that the toφedo car "362" is becoming better with usage and should not be pulled from service. Once the hotspot temperature is normalized, however, (Fig. 17) it becomes obvious that the hotspot temperature of the toφedo car "362" is in fact not decreasing, but is increasing steadily, as would be expected. To achieve the normalized hotspot temperature the user and/or software obtains past reference temperatures ("RT") from the toφedo car 20 and averages those temperate values ("ANRT"). By averaging the past reference temperature values, a more realistic and true reference temperature is obtained. In other words, by averaging the past reference temperatures, the temperature variants due to external factors, such as weather and ambient temperature, are removed. The actual temperature variations ("ATV"), due to external factors, affecting the toφedo 20 can be obtained by subtracting the reference temperature (RT) from the average of the past reference temperatures ("AVRT"). The corrected or normalized hotspot temperature ("NORMHSPOT") is then obtained by adding the actual temperature variations (ATV) to the hotspot temperature (HT). These calculations can be presented as follows:
AVRT - RT = ATV HT + ATV = NORMHSPOT At the block 220, the temperature information may be saved to the database of the controller 48, or to any other means of storing information.
If, at block 222, the normalized hotspot temperature is above a certain predetermined value, the toφedo body 22 may, at a decision diamond 224, be deemed to have a weak or thin spot that may jeopardize the integrity of the toφedo car body 22. If such a determination is made, control may pass to a block 226, where the thermal imaging system 45 may activate an alarm 64. The thermal imaging system 45 may include an alarm 64 configured to activate upon receiving, or failing to receive, a signal. As such, in one exemplary embodiment, the thermal imaging system 45 may include, as shown in Fig. 11, the alarm 64. Such alarms may be audible, visual, or tactile in nature, or may be automated so as to cease operation or take other corrective action as needed.
If, however, at the decision diamond 224 the thermal imaging system 45 determines that all the temperature values and hence the integrity of the toφedo body 22 are within the acceptable predetermined limits, the toφedo car 20 passes and the routine 200 returns to the block 202 for the thermal imaging system 45 to await the next toφedo car 20.
The foregoing detailed description has been given for clearness of understanding only and no unnecessary limitations should be understood therefrom, as modifications may be obvious to those skilled in the art.

Claims

What is claimed is:
1. A method of sensing the temperature of a molten metal vehicle, comprising: dispensing molten metal from the molten metal vehicle; capturing at least one thermal image of the molten metal vehicle; identifying an area of the dispensing molten metal from the thermal image; and determining the rotational position of the molten metal vehicle based on the identified area.
_ 2. The method of claim 1, further including capturing the thermal image from a side opposite the dispensing side of the molten metal vehicle.
3. The method of claim 1, wherein the maximum area of molten metal is obtained when the molten metal vehicle is rotated at least 90°.
4. The method of claim 1, further including determining whether the molten metal vehicle has come to a stop.
5. The method of claim 1, further including correcting a distortion in the image obtained from the thermal imager.
6. The method of claim 5, wherein the distortion is corrected using one of an algorithm and a look-up table.
7. The method of claim 1, further including establishing a frame of reference for the thermal imager.
8. The method of claim 7, wherein the frame of reference is established by obtaining a border between the molten metal vehicle and the ambient surroundings.
9. The method of claim 1, further including identifying the molten metal vehicle.
10. The method of claim 9, wherein the identifying the molten metal vehicle includes one of recognizing an identifying mark on the molten metal vehicle with the thermal imager and recognizing a thermal fingeφrint of the molten metal vehicle with the thermal imager.
11. The method of claim 1 , further including determining physical characteristics of the molten metal vehicle from the captured thermal image.
12. The method of claim 11, wherein the physical characteristic includes one of a thin spot on the molten metal vehicle and a lack of a thin spot on the molten metal vehicle.
13. The method of claim 1, further including activating an alarm.
14. A method of sensing the temperature of a molten metal vehicle, comprising: capturing at least one thermal image of the molten metal vehicle using at least one thermal imager having a lens; realizing a plurality of pixels from the thermal image; replacing distorted pixels from the captured image with non-distorted pixels from a look-up table; and obtaining a thermal image representative of the molten metal vehicle.
15. The method of claim 14, further including choosing a look-up table based on the lens of the thermal imager.
16. The method of claim 14, further including choosing a look-up table based on the resolution of the thermal image.
17. A method of sensing the temperature of a molten metal vehicle, comprising: obtaining past temperature data relating to the molten metal vehicle; capturing a thermal image of the molten metal vehicle; obtaining a reference temperature of the molten metal vehicle; and calculating a normalized hotspot temperature.
18. The method of claim 17, wherein the past temperature data includes one of a past hot spot temperature and a past reference temperature.
19. The method of claim 17, further including obtaining a hot spot "temperature of the molten metal vehicle.
20. The method of claim 19, wherein calculating a normalized hotspot temperature further includes comparing the hot spot temperature to the past temperature data.
21. The method of claim 17, wherein calculating a normalized hotspot temperature further includes comparing the reference temperature to the past temperature data.
22. The method of claim 17, wherein the reference temperature is obtained from a portion of the molten metal vehicle less affected by the molten metal than a portion of the molten metal vehicle that is in contact with the molten metal.
23. A system for sensing a temperature of a molten metal vehicle, comprising: at least one thermal imager; and a controller communicably coupled to the thermal imager, wherein the controller is adapted to receive thermal image data from the thermal imager, identify an area of dispensing molten metal from the thermal image, and determine the rotational position of the molten metal vehicle based on the identified area.
24. The system of claim 23, wherein the thermal imager is located on a side of the molten metal vehicle opposite the dispensing side of the molten metal vehicle.
25. The system of claim 23, wherein the controller is programmed to identify a maximum area of molten metal.
26. The system of claim 23, further including a molten metal vehicle sensor communicatively coupled to the controller, wherein the sensor is activated by the molten metal vehicle.
27. The system of claim 23, wherein the controller is programmed to correct a distortion in the thermal image.
28. The system of claim 27, wherein the controller corrects the thermal image using one of an algorithm and a look-up table.
29. The system of claim 23, wherein the controller is programmed to establish a frame of reference for the thermal imager relative to the molten metal vehicle.
30. The system of claim 29, wherein the controller and memory establish a frame of reference by obtaining a border between the molten metal vehicle and the ambient surroundings from the thermal image.
31. The system of claim 23, wherein the controller is programmed to identify the molten metal vehicle by recognizing a thermal fingeφrint of the molten metal vehicle from the thermal image.
32. The system of claim 23, wherein the controller is programmed to identify the molten metal vehicle by recognizing an identifying mark on the molten metal vehicle from thermal image.
33. The system of claim 23, wherein the controller is programmed to determine a physical characteristics of the molten metal vehicle from the thermal image.
34. The system of claim 33, wherein the physical characteristic includes one of a thin spot on the molten metal vehicle and a lack of a thin spot on the molten metal vehicle.
35. The system of claim 23, further including an alarm communicatively coupled to the controller.
36. The system of claim 35, wherein the controller is programmed to activate the alarm in response to determining that the molten metal vehicle has a thin spot.
37. A system for sensing a temperature of a molten metal vehicle, comprising: at least one thermal imager having a lens; and a controller communicably coupled to the thermal imager, the controller being adapted to receive thermal image data from the thermal imager, realize a plurality of pixels from the thermal image, and replace distorted pixels with non-distorted pixels from a look-up table.
38. The system of claim 37, wherein the look-up table corresponds to the lens of the thermal imager.
39. The system of claim 37, wherein the look-up table corresponds to the resolution of the thermal imager.
40. A system for sensing the temperature of a molten metal vehicle, comprising: at least one thermal imager; a controller is communicably coupled to the thermal imager and memory, the controller being adapted to receive thermal image data from the thermal imager, a memory storing past molten metal vehicle temperature data, obtain current temperature data from the thermal image, and calculate a normalized hotspot temperature from the current temperature data, and the past temperature data.
41. The system of claim 40, wherein the past temperature data includes one of a past hot spot temperature and a past reference temperature.
42. The system of claim 40, wherein the current temperature data includes one of a hot spot temperature and a reference temperature
43. The system of claim 42, wherein the controller is programmed to obtain the normalized hotspot temperature by comparing the hot spot temperature and the reference temperature to the past temperature data.
44. The system of claim 41, wherein the controller is programmed to obtain the normalized hotspot temperature by comparing the past hot spot temperature and the past reference temperature to the current temperature data.
45. The system of claim 41, wherein the reference temperature is obtained from a portion of the molten metal vehicle less affected by the molten metal than a portion of the molten metal vehicle that is in contact with the molten metal.
46. The system of claim 42, wherein the reference temperature is obtained from a portion of the molten metal vehicle less affected by the molten metal than a portion of the molten metal vehicle that is in contact with the molten metal.
PCT/US2003/026581 2002-08-27 2003-08-26 Apparatus and method of sensing the temperature of a molten metal vehicle WO2004020926A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP03791756A EP1535010A1 (en) 2002-08-27 2003-08-26 Apparatus and method of sensing the temperature of a molten metal vehicle
AU2003260063A AU2003260063A1 (en) 2002-08-27 2003-08-26 Apparatus and method of sensing the temperature of a molten metal vehicle

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US40629102P 2002-08-27 2002-08-27
US60/406,291 2002-08-27
US44487003P 2003-02-04 2003-02-04
US60/444,870 2003-02-04

Publications (1)

Publication Number Publication Date
WO2004020926A1 true WO2004020926A1 (en) 2004-03-11

Family

ID=31981389

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2003/026581 WO2004020926A1 (en) 2002-08-27 2003-08-26 Apparatus and method of sensing the temperature of a molten metal vehicle

Country Status (4)

Country Link
US (2) US6837616B2 (en)
EP (1) EP1535010A1 (en)
AU (1) AU2003260063A1 (en)
WO (1) WO2004020926A1 (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013076632A (en) * 2011-09-30 2013-04-25 Nisshin Steel Co Ltd Thermal image data storage device
CN104567373A (en) * 2014-12-25 2015-04-29 贵州永兴科技有限公司 Universal informatization electric furnace with alarming and identity recognition function
CN104567393A (en) * 2014-12-25 2015-04-29 贵州永兴科技有限公司 Horizontal movement opening type face identification switch for universal electric furnace
CN104567392A (en) * 2014-12-25 2015-04-29 贵州永兴科技有限公司 Universal electric stove with alarm and fingerprint recognition functions
CN104596251A (en) * 2014-12-25 2015-05-06 贵州永兴科技有限公司 Flip type wire coil heater switch with face recognition function
CN104596271A (en) * 2014-12-25 2015-05-06 贵州永兴科技有限公司 Informationized universal electric furnace having alarming and fingerprint recognition functions
CN104634109A (en) * 2014-12-25 2015-05-20 贵州永兴科技有限公司 Universal electric furnace with alarming and human face recognizing functions
WO2018177696A1 (en) 2017-03-29 2018-10-04 Cockerill Maintenance & Ingénierie S.A. System and method for thermo-mechanical monitoring of a solar receiver
CN110397937A (en) * 2019-07-05 2019-11-01 中国特种设备检测研究院 A kind of garbage burning boiler insulation of wall structure measurement designing system and design method

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020199017A1 (en) * 2001-06-25 2002-12-26 Russell Lance W. Routing meta data for network file access
US6926440B2 (en) * 2002-11-01 2005-08-09 The Boeing Company Infrared temperature sensors for solar panel
JP2006098223A (en) * 2004-09-29 2006-04-13 Sanyo Electric Co Ltd Noise rejection circuit, and temperature measurement processing apparatus having the same
EP1904955A4 (en) * 2005-06-02 2010-01-13 Mititech Llc Method and apparatus for displaying properties onto an object or life form
US8985848B2 (en) * 2006-06-30 2015-03-24 Bdc Capital Inc. Thermal inspection system
US8911147B2 (en) * 2007-06-15 2014-12-16 Fluke Corporation System and method for analyzing a thermal image using configurable markers
US8596861B2 (en) * 2008-11-06 2013-12-03 Honeywell International Inc Method and system for detecting corrosion under insulation
US8753008B2 (en) * 2009-06-26 2014-06-17 Fluke Corporation Protective enclosure for a thermal imaging device of an industrial monitoring system
US8072613B2 (en) * 2010-03-25 2011-12-06 Specialty Minerals (Michigan) Inc. System for measuring the inner space of a container and method of performing the same
ITTO20110589A1 (en) * 2011-07-04 2013-01-05 Avio Spa APPARATUS AND METHOD FOR DETERMINING THE EFFECTIVE DEPTH OF CEMENTATION OR NITRURATION OF STEEL COMPONENTS, IN PARTICULAR GEARS
US8958058B2 (en) * 2011-11-15 2015-02-17 Process Metrix Apparatus, process, and system for monitoring the integrity of containers
JP5884179B2 (en) * 2013-03-13 2016-03-15 Jfeスチール株式会社 Inspection apparatus and inspection method for molten metal container
CN104268363B (en) * 2014-07-08 2017-02-08 昆明理工大学 Torpedo ladle quantity calculation method applied to steel and iron works
JP2016056398A (en) * 2014-09-08 2016-04-21 Jfeスチール株式会社 Inspection device and inspection method for molten metal housing container
US10338016B1 (en) 2015-09-28 2019-07-02 Jeffrey Callister Verification of material composition in precious metal object
US10506193B2 (en) 2016-07-19 2019-12-10 Snap-On Incorporated Methods and systems for displaying a thermal image and information related to servicing a vehicle
CN107200044B (en) * 2017-05-26 2019-02-12 内蒙古包钢钢联股份有限公司 A kind of molten iron torpedo pot vehicle localization method
US11435305B2 (en) * 2018-12-19 2022-09-06 General Electric Company Thermographic inspection system mounted on motorized apparatus and methods of using same
US20210108967A1 (en) 2019-10-14 2021-04-15 Justin Thrash TempTech
US11187586B2 (en) * 2020-08-17 2021-11-30 SoCal Dab Tools, LLC Temperature sensing system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS6029585A (en) * 1983-07-28 1985-02-14 日本鋼管株式会社 Hot spray repairing device for refractory
JPS60214214A (en) * 1984-04-10 1985-10-26 Hitachi Zosen Corp Estimating method of abrasion loss of refractory and heat-insulating lining material
JPS6390705A (en) * 1986-10-03 1988-04-21 Sumitomo Metal Ind Ltd Quantitative remaining size detecting method for in-furnace refractory
JPH01140001A (en) * 1987-11-26 1989-06-01 Kobe Steel Ltd Device for measuring erosion of mobile high temperature container refractory material
JPH10298627A (en) * 1997-02-28 1998-11-10 Nkk Corp Method for judging remaining thickness of work brick in molten metal holding vessel

Family Cites Families (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3101618A (en) * 1960-11-15 1963-08-27 Leeds & Northrup Co Rotary kiln shell temperature scanning system
JPS60143B2 (en) * 1976-11-17 1985-01-05 住友金属工業株式会社 Molten steel outflow automatic control device and its signal discrimination device
US4310003A (en) * 1978-02-06 1982-01-12 Schlager Kenneth J Thermographic method of physical examination of patients
WO1981000764A1 (en) * 1979-09-12 1981-03-19 M Jacobs Hand-held digital temperature measuring instrument
US4343182A (en) * 1980-07-14 1982-08-10 Exergen Corporation Radiation heat loss detector
EP0057290A1 (en) * 1981-02-02 1982-08-11 Hoogovens Groep B.V. Temperature scanner
US4367865A (en) * 1981-09-21 1983-01-11 Republic Steel Corporation Method and apparatus for emptying bottle cars
GB2109924B (en) * 1981-11-25 1985-02-06 Schlumberger Electronics Apparatus and method for measuring temperature profile
NL8200418A (en) * 1982-02-04 1983-09-01 Estel Hoogovens Bv METHOD FOR OPERATING A RIDING MIXER AND USES THEREOF
US4854724A (en) * 1984-07-09 1989-08-08 Lockheed Corporation Method of and apparatus for thermographic evaluation of spot welds
US4733079A (en) * 1985-12-13 1988-03-22 Lockheed Corporation Method of and apparatus for thermographic identification of parts
JPS62172249A (en) * 1986-01-25 1987-07-29 Kajima Corp Method and apparatus for diagnosing deterioration of chimney
JPH087942B2 (en) 1986-06-28 1996-01-29 ソニー株式会社 Binary data detection circuit
DE3820862A1 (en) * 1988-06-21 1989-12-28 Soelter Hans Joachim Dipl Phys METHOD AND DEVICE FOR CONTACTLESS EXAMINATION OF SURFACES AND INTERNAL STRUCTURES OF A FIXED TEST BODY
US4854162A (en) * 1988-06-27 1989-08-08 Ford Motor Company Method of locating friction generating defects in a multiple bearing assembly
US5128884A (en) * 1989-12-18 1992-07-07 Prager Kenneth E Black body calibration using image processing techniques
US5131758A (en) * 1990-05-16 1992-07-21 Administrator Of The National Aeronautics And Space Administration Method of remotely characterizing thermal properties of a sample
US5102231A (en) * 1991-01-29 1992-04-07 Texas Instruments Incorporated Semiconductor wafer temperature measurement system and method
US5185667A (en) * 1991-05-13 1993-02-09 Telerobotics International, Inc. Omniview motionless camera orientation system
US5331311A (en) * 1992-12-09 1994-07-19 Servo Corporation Of America Railroad wheel temperature sensor with infrared array
US5333784A (en) * 1993-03-02 1994-08-02 Exergen Corporation Radiation detector with thermocouple calibration and remote temperature reference
FR2705835B1 (en) * 1993-05-24 1995-06-30 Accumulateurs Fixes Method for controlling the charge of nickel-sealed batteries and charger using this method.
US5654977A (en) * 1995-02-02 1997-08-05 Teledyne Industries Inc. Method and apparatus for real time defect inspection of metal at elevated temperature
US6196385B1 (en) * 1995-07-17 2001-03-06 Techtonic Corporation Golf club locking device
US5816703A (en) * 1995-11-29 1998-10-06 Nittco Chemical Industry Co., Ltd. Method of detecting defects of a structure
US20020018510A1 (en) * 1996-07-31 2002-02-14 Murphy John C. Thermal-based methods for nondestructive evaluation
US5968227A (en) * 1997-11-13 1999-10-19 Bethlehem Steel Corporation System and method for minimizing slag carryover during the tapping of a BOF converter in the production of steel
US6077228A (en) * 1998-11-04 2000-06-20 Schonberger; Milton Breast temperature scanner
US6840667B2 (en) * 2000-08-25 2005-01-11 Photon Dynamics, Inc. Method and apparatus for detection of defects using thermal stimulation
US6648506B2 (en) * 2001-09-07 2003-11-18 Board Of Trustees Of Michigan State University Fluorescence emission ratio imaging thermography for use in heat transfer analysis
US20050086952A1 (en) * 2001-09-19 2005-04-28 Hikaru Nonaka Refrigerator-freezer controller of refrigenator-freezer, and method for determination of leakage of refrigerant
JP2006505764A (en) * 2002-01-23 2006-02-16 マレナ システムズ コーポレーション Infrared thermography for defect detection and analysis
US6995966B2 (en) * 2002-12-09 2006-02-07 Network Appliance, Inc. Fire protection for electronics equipment
US7009695B2 (en) * 2003-04-01 2006-03-07 Applied Materials, Inc. Full frame thermal pump probe technique for detecting subsurface defects
US7425093B2 (en) * 2003-07-16 2008-09-16 Cabot Corporation Thermography test method and apparatus for bonding evaluation in sputtering targets
EP1733254A4 (en) * 2004-03-01 2011-05-18 Varian Med Sys Inc Object examination by dual energy radiation scanning and delayed neutron detection
US20060242186A1 (en) * 2005-04-26 2006-10-26 Hurley Thomas J Thermal signature intensity alarmer system and method for processing thermal signature

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS6029585A (en) * 1983-07-28 1985-02-14 日本鋼管株式会社 Hot spray repairing device for refractory
JPS60214214A (en) * 1984-04-10 1985-10-26 Hitachi Zosen Corp Estimating method of abrasion loss of refractory and heat-insulating lining material
JPS6390705A (en) * 1986-10-03 1988-04-21 Sumitomo Metal Ind Ltd Quantitative remaining size detecting method for in-furnace refractory
JPH01140001A (en) * 1987-11-26 1989-06-01 Kobe Steel Ltd Device for measuring erosion of mobile high temperature container refractory material
JPH10298627A (en) * 1997-02-28 1998-11-10 Nkk Corp Method for judging remaining thickness of work brick in molten metal holding vessel

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
BOTELHO R A . CALENTE A: "On-line monitoring of torpedo car shells", SPIE PROCEEDINGS 2001 THERMOSENSE XXIII, vol. 4360, 2001, pages 277 - 284, XP009024670 *
DAHLBERG B ET AL: "MONITORING LINING WEAR THROUGH LASER BEAM TECHNOLOGY - AGA IMS 1600", IRON AND STEEL ENGINEER, ASSOCIATION OF IRON AND STEEL ENGINEERS. PITTSBURGH, US, vol. 59, no. 11, 1 November 1982 (1982-11-01), pages 38 - 43, XP002041762, ISSN: 0021-1559 *
KAUPPINEN ET AL.: "Thermography in the condition monitoring of refractory lining", SPIE PROCEEDINGS 1999 THERMOSENSE XXI, vol. 3700, 1999, pages 214 - 226, XP001157079 *
PATENT ABSTRACTS OF JAPAN vol. 010, no. 076 (P - 440) 26 March 1986 (1986-03-26) *
PATENT ABSTRACTS OF JAPAN vol. 012, no. 329 (P - 754) 7 September 1988 (1988-09-07) *
PATENT ABSTRACTS OF JAPAN vol. 013, no. 391 (P - 926) 30 August 1989 (1989-08-30) *
PATENT ABSTRACTS OF JAPAN vol. 1999, no. 02 26 February 1999 (1999-02-26) *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013076632A (en) * 2011-09-30 2013-04-25 Nisshin Steel Co Ltd Thermal image data storage device
CN104567373A (en) * 2014-12-25 2015-04-29 贵州永兴科技有限公司 Universal informatization electric furnace with alarming and identity recognition function
CN104567393A (en) * 2014-12-25 2015-04-29 贵州永兴科技有限公司 Horizontal movement opening type face identification switch for universal electric furnace
CN104567392A (en) * 2014-12-25 2015-04-29 贵州永兴科技有限公司 Universal electric stove with alarm and fingerprint recognition functions
CN104596251A (en) * 2014-12-25 2015-05-06 贵州永兴科技有限公司 Flip type wire coil heater switch with face recognition function
CN104596271A (en) * 2014-12-25 2015-05-06 贵州永兴科技有限公司 Informationized universal electric furnace having alarming and fingerprint recognition functions
CN104634109A (en) * 2014-12-25 2015-05-20 贵州永兴科技有限公司 Universal electric furnace with alarming and human face recognizing functions
WO2018177696A1 (en) 2017-03-29 2018-10-04 Cockerill Maintenance & Ingénierie S.A. System and method for thermo-mechanical monitoring of a solar receiver
US10947960B2 (en) 2017-03-29 2021-03-16 Cockerill Maintenance & Ingenierie S.A. System and method for thermo-mechanical monitoring of a solar receiver
CN110397937A (en) * 2019-07-05 2019-11-01 中国特种设备检测研究院 A kind of garbage burning boiler insulation of wall structure measurement designing system and design method

Also Published As

Publication number Publication date
AU2003260063A1 (en) 2004-03-19
US20050111520A1 (en) 2005-05-26
US20040071186A1 (en) 2004-04-15
US6837616B2 (en) 2005-01-04
US7758239B2 (en) 2010-07-20
EP1535010A1 (en) 2005-06-01

Similar Documents

Publication Publication Date Title
US6837616B2 (en) Method and system for determining the rotational position of a molten metal vehicle
CN109100363B (en) Method and system for distinguishing defects of attached foreign matters from dust
US20110116688A1 (en) Automatic measurement system and method for plant features, and recording medium thereof
US20090289121A1 (en) Bar code processing apparatus
CN107615019B (en) Infrared pick-up device and signal calibration method based on infrared pick-up device
KR970014158A (en) (Defect Pixel Detecting Circuit of Solid Image Pick-up Device Capable of Detecting Pixel Accurately Consuming Low Power, and Image Pick-up Apparatus) of a solid-state image pickup device capable of high-
JP2001126184A (en) Automatic license plate recognizing device and vehicle speed measuring method
JP4670434B2 (en) Meter reading system
US7840026B2 (en) Apparatus and method for detecting objects
CN108229482B (en) Gas meter identification method and system
JP4742883B2 (en) Far-infrared imaging device and output value correction method
US20060087570A1 (en) Image sensing device with pixel correction function and method for correcting pixel sensing data in image sensing device
JP2002188939A (en) Pointer-type meter measuring system by image recognition and pointer-type meter measuring method
JP4488261B2 (en) Image sensor sorting method, image sensor, and image pickup apparatus
CN111435080B (en) Water level measuring method, device and system
JP2006217113A (en) Electronic camera and method of inspecting electronic camera
JP4144139B2 (en) Media reader
JP3683392B2 (en) Solid-state imaging camera
JP2009077279A (en) Image recognizing apparatus, on-vehicle image recognizing apparatus, and on-vehicle image recognition method
JP3246375B2 (en) Method and apparatus for detecting gas distribution in blast furnace
JPH11142348A (en) Meandering follow-up device for defect inspecting device and defect inspecting device
JPH10185657A (en) Method of measuring fluctuating material upper level, and measuring device therefor
US20210303810A1 (en) Information code reading system, information code reader, and information code
JP3715489B2 (en) Printed circuit board inspection equipment
JPH11160032A (en) Video type non-contact extensometer

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SY TJ TM TN TR TT TZ UA UG UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
WWE Wipo information: entry into national phase

Ref document number: 2003791756

Country of ref document: EP

WWP Wipo information: published in national office

Ref document number: 2003791756

Country of ref document: EP

NENP Non-entry into the national phase

Ref country code: JP

WWW Wipo information: withdrawn in national office

Country of ref document: JP

WWW Wipo information: withdrawn in national office

Ref document number: 2003791756

Country of ref document: EP