CN103971171A - State evaluation method for power transmission equipment - Google Patents

Abstract

The invention discloses a state evaluation method for power transmission equipment. The state evaluation method for the power transmission equipment comprises the following steps that S1, multi-source heterogeneous information is fused, and a state evaluation parameter system of the power transmission equipment is built in a multi-layer architecture mode; S2, state grades of evaluation are determined, a fuzzy evaluation matrix is obtained according to state variable limiting values in design documents and comment guidelines; S3, the objective weight of each state variable is determined with the information entropy method; S4, the subjective weight of each state variable is determined with the analytic hierarchy process, the subjective weights are combined with the objective weights, and the comprehensive weight of each state variable is worked out; S5, according to the fuzzy evaluation matrix obtained in the step S2 and the comprehensive weights obtained in the step S4, a state evaluation matrix of each component and a global state evaluation matrix of the power transmission equipment are worked out. According to the state evaluation method for the power transmission equipment, the subjective weights, the objective weights and the fuzzy evaluation matrix are combined, so that the problem that because fixed weights are adopted, the global state is slightly influenced when individual indexes are severely abnormal is solved.

Description

A kind of transmission facility state evaluating method

Technical field

The present invention relates to a kind of Operation of Electric Systems safety technique, be specifically related to a kind of transmission facility state evaluating method.

Background technology

The safety of transmission facility is the basis of power grid security, reliable, stable operation, equipment state carried out effectively, assesses accurately, diagnoses and predicted, and be the important channel of improving power supply reliability and operation of power networks intelligent level.

Fuzzy mathematics method is applicable to the state estimation of transmission facility, and it has used the theory of degree of membership and subordinate function in fuzzy set, and the restricting relation of multimode amount in transmission facility carried out to the abstract of mathematicization.Blur method first carries out simple element evaluation to multi-Fuzzy sexual factor, then carries out fuzzy deduction according to predetermined rule set, according to certain principle, evaluation result is made an explanation.

The difficult point of transmission facility state estimation is determining of comprehensive all kinds of status information and weight.Carry out comprehensive and accurate state estimation, need the multi-source heterogeneous information such as fusion device status information, operation of power networks information and environmental state information, in conjunction with the history of power equipment, current and to-be, draw state estimation result by certain standard and intelligent evaluation method.At present, less to the research both at home and abroad of the state estimation of transmission facility, concentrate on the one hand the detection of the concrete parameter of or mechanical aspects electric to transmission facility, realize the icing monitoring of wire as measure traverse line tension force and inclination angle, measure the close and leakage current of the salt of insulator and realize the filth monitoring of insulator; Concentrate on the other hand the state analysis based on single or a small amount of parameter of some macroscopic views, as assessed shaft tower state according to shaft tower degree of tilt, the parameter such as antitheft, assess wire state according to icing, windage yaw, wave etc.Above-mentioned health status and the state development trend of all cannot science holding transmission facility entirety.

Aspect weight definite, due to a lot of for assessment of the characteristic quantity of equipment operation, and each characteristic quantity role difference in the time of assessment, need accurately to determine the weight of different these characteristic quantities.Prior art aspect mainly contains subjective weight and two kinds of analytical approachs of objective weight, wherein subjective weight analysis method is mainly analytical hierarchy process, determine the weight of each parameter according to expert opinion, objective weight analytic approach, it is the Changing Pattern that utilizes different characteristic amount, dependence mathematical method is determined its weight, mainly comprises entropy power method, evidence theory etc.

The present invention, under National 863 planning item fund (2012AA050209) is subsidized, has proposed " a kind of transmission facility state evaluating method ".

Summary of the invention

A kind of transmission facility state evaluating method has been proposed herein, considering on the basis of all kinds of status informations of transmission facility, use comprehensive weight effectively to combine current data and historical data, while having avoided indivedual index severely subnormal that fixed weight brings on the less problem of integrality impact.

Transmission facility state evaluating method of the present invention, comprises the following steps:

A kind of transmission facility state evaluating method, it comprises the following steps:

Step S1, merge multi-source heterogeneous information, adopt the Model Establishment of multi-layer framework to play the state estimation parameter system of transmission facility, described multi-source heterogeneous information at least comprises equipment on-line monitoring and O&M maintenance information, operation of power networks information and environmental state information, described state estimation parameter system comprises the transmission facility layer that is made from multiple components, for enumerating that each unit status is assessed the state-detection layer of corresponding quantity of state and for enumerating the sensor layer of various kinds of sensors parameter, the original vol that described sensor parameters is described quantity of state;

The state grade of step S2, definite assessment, and obtain fuzzy evaluation matrix according to the quantity of state limit value in design document and comment directive/guide;

Step S3, employing information Entropy Method are determined the objective weight of each quantity of state;

Step S4, employing analytical hierarchy process are determined the subjective weight of each quantity of state, and described supervisor's weight is combined with objective weight, calculate the comprehensive weight of each quantity of state;

Step S5, according to the comprehensive weight in fuzzy evaluation matrix and step S4 in step S2, calculate the state estimation matrix of each parts and the state estimation matrix of transmission facility entirety.

Quantity of state in described step S1 comprises detection data and basic data.

Described step S2 comprises:

Step S2.1, the measured value of each quantity of state is normalized, departs from the relative inferiority degree of normal operating conditions to describe each quantity of state;

Step S2.2, to transmission facility state be divided into well, general, attention, serious 4 state grades, determine respectively the membership function of each quantity of state facing to 4 kinds of state grades by trigonometric sum half is trapezoidal;

Step S2.3, the measured value of each quantity of state is normalized to rear substitution membership function, calculates the degree of membership value of each quantity of state corresponding to 4 kinds of state grades, obtain fuzzy evaluation matrix, described fuzzy evaluation matrix is:

$R=\left[\begin{array}{c}{R}_1\\ R_2\\ ...\\ R_n\end{array}\right]=\left[\begin{array}{cccc}{r}_{11}& r_{12}& r_{13}& r_{14}\\ r_{21}& r_{22}& r_{23}& r_{24}\\ ...& ...& ...& ...\\ r_{n1}& r_{n2}& r_{n3}& r_{n4}\end{array}\right]---\left(1\right)$

Wherein, the fuzzy evaluation matrix that R is each parts, R _ifor the fuzzy evaluation matrix of i quantity of state in the fuzzy evaluation matrix R of each parts, r _ijrepresent each quantity of state u _ito comment v _jmembership; 0≤r _ij≤ 1, j=4.

Described normalized comprises:

For very big type quantity of state, the larger state of its numerical value is more excellent, and its computing formula is:

f(x)=(x-a)/(b-a) （2）

For minimal type quantity of state, the less state of its numerical value is more excellent, and its computing formula is:

f(x)=(b-x)/(b-a) （3）

Wherein, the relative inferiority degree that f (x) is i quantity of state, the measured value that x is i quantity of state; A is the ratings of i quantity of state, the demand value that b is i quantity of state.

Described step S3 comprises the following steps:

Step S3.1, calculate each quantity of state u _ientropy H _i:

$H_i=-k\underset{j=1}{\overset{4}{\mathrm{\Σ}}}{r}_{\mathrm{ij}}\ln r_{\mathrm{ij}}---\left(4\right)$

Wherein, k=ln4, r _ijmeet and work as r _ij=0 o'clock, H _i=0;

Step S3.2, calculate each quantity of state u _icoefficient of variation g _i:

g _i=1-H _i（5）

Step S3.3, calculate each quantity of state u _iobjective weight e _i:

$e_i=\frac{g_i}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{g}_i}---\left(6\right).$

Described step S4 comprises the following steps:

Step S4.1, obtain judgment matrix P according to expertise;

Step S4.2, judgment matrix P is carried out to consistency check:

CR=CI/RI （7）

Wherein, CR is the random Consistency Ratio of judgment matrix P, the general coincident indicator that CI is judgment matrix, and the computing method of described CI are:

$\mathrm{CI}=\frac{1}{n-1}({\mathrm{\λ}}_{\max }-n)---\left(8\right)$

Wherein, RI is called the general coincident indicator of judgment matrix P, along with the exponent number of judgment matrix P is got fixed numbers, and λ _maxfor the maximum characteristic root of judgment matrix P;

In the time of CR<0.1, think that judgment matrix P has satisfied consistance, the rationality that flexible strategy are distributed is described; Otherwise need to adjust judgment matrix, until by consistency check;

Step S4.3, after judgment matrix P is by inspection, obtain the corresponding proper vector C={c of maximum characteristic root of judgment matrix P ₁, c ₂..., c _n, required proper vector C is each quantity of state importance ranking, c _iit is the subjective weighted value of i quantity of state;

Step S4.4, subjective weight and objective weight are combined, calculate comprehensive weight:

$w_i=\frac{c_i{e}_i^{\&PartialD;}}{\mathrm{\&Sigma;}{c}_i{e}_i^{\&PartialD;}}---\left(9\right)$

Wherein, w _ibe the comprehensive weight of i quantity of state, for becoming weight coefficient.

Described $\&PartialD;=0.1.$

Described parts are 9, are respectively basis, shaft tower, wire, ground wire, insulator, gold utensil, earthing device, affiliated facility, channel environment.

Described step S5 comprises the following steps:

Step S5.1, obtain and calculate the state estimation matrix of all parts:

Wherein, B represents the state estimation matrix of a certain parts, w={w ₁, w ₂..., w _nrepresent the comprehensive weight of these parts, w _ifor the comprehensive weight of i quantity of state in these parts, $R=\left[\begin{array}{cccc}{r}_{11}& r_{12}& r_{13}& r_{14}\\ r_{21}& r_{22}& r_{23}& r_{24}\\ ...& ...& ...& ...\\ r_{n1}& r_{n2}& r_{n3}& r_{n4}\end{array}\right]$ Represent the fuzzy evaluation matrix of these parts, b ₁, b ₂, b ₃, b ₄represent respectively that these parts are under the jurisdiction of well, general, attention, serious degree of membership;

Step S5.2, obtain and calculate the state estimation matrix of transmission facility entirety:

Wherein, W _parts={ W ₁, W ₂..., W ₉in W ₁-W ₉be respectively the comprehensive weight of 9 parts, the comprehensive weight computing formula of each parts is formula (9), in B ₁-B ₉be respectively the state estimation matrix of 9 parts, the computing formula of the state estimation matrix of each parts is formula (10), B _entirety={ d ₁, d ₂, d ₃, d ₄, wherein, d ₁-d ₄be respectively transmission facility entirety and belong in good condition, general, attention, serious state estimation matrix;

Step S5.3, give respectively score value 1,2,3,4 to state grade, then average to the fuzzy set theory of 4 kinds of states according to evaluation result, draw the value of form factor:

$f=\underset{j=1}{\overset{4}{\mathrm{\&Sigma;}}}{d}_j^{k}h/\underset{j=1}{\overset{4}{\mathrm{\&Sigma;}}}{d}_j^k---\left(12\right)$

Wherein f is form factor, and h is the score value of 4 state grades, and k is undetermined coefficient.

Described k=1.

The invention has the beneficial effects as follows: the present invention combines subjective weight, objective weight and fuzzy evaluation matrix, and obtain the state estimation matrix of transmission facility entirety and each parts, it is more existing that only to adopt supervisor's weight to carry out state estimation mode more accurate, while having avoided indivedual index severely subnormal that fixed weight brings on the less problem of integrality impact.

Brief description of the drawings

Fig. 1 is transmission line status evaluate parameter system;

Fig. 2 is the distribution function of triangle and half trapezoidal combination membership function.

Embodiment

Below in conjunction with the drawings and specific embodiments, content of the present invention is described in further details.

According to Judgement Method herein, the state of certain section of 500kV transmission line of electricity is carried out to fuzzy comprehensive evoluation, and in conjunction with practical operation situation, the result of fuzzy comprehensive evoluation is verified.The state evaluation parameter system of this section of transmission line of electricity is as shown in table 1, and its state comment integrates good as V={, general, notes, serious }.

Table 1 membership function

Taking the component leads of transmission facility as example, recording of this section of transmission line wire on-line monitoring class quantity of state and daily tour class quantity of state is as shown in table 2 below.The quantity of state ratings and the demand value that in table 2, provide containing with good grounds relevant criterion, code and expert opinion.

Table 2 on-line monitoring and daily tour class record

Component names	Weight	Well	Note	Generally	Seriously
						Shaft tower	0.125	0.175	0.341	0.384	0.100

Gold utensil	0.225	0.231	0.353	0.414	0.003
						Insulator	0.275	0.16	0.620	0.280	0.003
Lead wire and earth wire	0.225	0.199	0.369	0.293	0.036
						Basis	0.05	0.370	0.620	0.010	0.001
Affiliated facility	0.025	0.830	0.170	0.000	0.000
						Channel environment	0.025	0.500	0.500	0.000	0.000
Earthing device	0.05	0.150	0.500	0.350	0.000

According to above information, as follows to the state estimation of wire and transmission facility entirety:

(1) set up the fuzzy evaluation matrix of on-line monitoring class and daily tour class, be respectively:

$R_1=\left[\begin{array}{cccc}0& 0.45& 0.55& 0\\ 0.12& 0.88& 0& 0\\ 0& 0.65& 0.35& 0\\ 0& 0.5& 0.5& 0\\ 0.44& 0.56& 0& 0\\ 0.6& 0.4& 0& 0\end{array}\right]R_2=\left[\begin{array}{cccc}0& 0.16& 0.84& 0\\ 0& 0.54& 0.46& 0\\ 0& 0.63& 0.37& 0\\ 0.9& 0.1& 0& 0\\ 0.9& 0.1& 0& 0\end{array}\right]$

(2), taking on-line monitoring class quantity of state as example, according to expertise, use analytical hierarchy process to obtain its subjective power

Be heavily:

C ₁=（0.179，0.107，0.230，0.172，0.110，0.202）

According to the fuzzy evaluation matrix in (1), obtain its objective weight and be:

E ₁=（0.058，0.618，0.129，0.049，0.062，0.084）

According to the comprehensive weight calculating be:

W ₁=（0.135，0.102，0.187，0.127，0.083，0.158）

The comprehensive weight that in like manner can obtain daily tour class quantity of state is:

W ₂=（0.235，0.143，0.162，0.210，0.250）

(3) to on-line monitoring class quantity of state, calculate its Result of Fuzzy Comprehensive Evaluation:

B ₁=W ₁оR ₁=（0.146，0.446，0.203，0）

In like manner can obtain daily tour class evaluation result:

B ₂=（0.414，0.263，0.323，0）

(4) to detecting data, calculate its state estimation matrix:

Wherein w ₁, w ₂the comprehensive weight that represents on-line monitoring class and daily tour class quantity of state, its numerical value is 0.7 and 0.3.

The state estimation matrix that in like manner can arrive basic data is:

B _basis=(0.140,0.320,0.420,0.120)

(5), to these parts of wire, calculate its state estimation matrix and form factor f1:

Wherein w _basis, w _detectthe comprehensive weight that represents respectively basic data and detection data, its numerical value is respectively 0.7 and 0.3.

Can obtain form factor: f1=2.185 by formula.

(6), according to the evaluation of (1)～(5) to wire state, state estimation matrix that in like manner can all parts and each parts are with respect to the comprehensive weight of transmission facility entirety, as shown in table 3.

The corresponding comprehensive weight of the each parts of table 3 and state estimation matrix

Component names	Weight	Well	Note	Generally	Seriously
						Shaft tower	0.125	0.175	0.341	0.384	0.100
Gold utensil	0.225	0.231	0.353	0.414	0.003
						Insulator	0.275	0.16	0.620	0.280	0.003
Lead wire and earth wire	0.225	0.199	0.369	0.293	0.036
						Basis	0.05	0.370	0.620	0.010	0.001
Affiliated facility	0.025	0.830	0.170	0.000	0.000
						Channel environment	0.025	0.500	0.500	0.000	0.000
Earthing device	0.05	0.150	0.500	0.350	0.000

(7) according to table 3, can obtain the Result of Fuzzy Comprehensive Evaluation of transmission facility entirety, its state estimation matrix is:

B _entirety=W _entiretyo R _entirety=(0.221,0.448,0.302,0.022)

By formula, the form factor f=2.152 of transmission facility entirety.

According to the form factor of the form factor of wire and transmission facility entirety, the state that wire and transmission facility are described is just developed from " generally " toward " attention ", this represents that circuit has had part important state amount to approach or the value of being above standard slightly, operation should be monitored, and maintenance need to be arranged as early as possible.

The actual conditions of this section of transmission line of electricity are: the heavy snow weather in winter at that time, and on transmission line of electricity, ice covering thickness has approached design load, and because the sag that affects wire of icing has departed from normal value, there is abnormal vibrations in wire; Maintenance record had been carried out the maintenance about splicing fitting and the disconnected thigh of reparation wire before showing this section lead.Comprehensive above actual conditions, can judge the slight degradation of quantity of state of this section of transmission line of electricity, and running status integral working is not good enough, should keep a close eye on its succeeding state development, arranges as early as possible to keep in repair.This is consistent with the conclusion that appraisal procedure draws herein.

If only consider subjective weight, and do not use comprehensive weight, the fuzzy evaluation result that obtains transmission facility entirety is:

B ' _entirety=(0.321,0.407,0.261,0.020)

Can obtain form factor f '=1.979 by formula.The just development from " well " toward " generally " of state that this shows transmission facility, is not inconsistent with actual conditions.By contrast, more can objectively respond than normal power method the impact that some parameter drift-out normal value of transmission facility brings to integrality with comprehensive weight, its assessment result can more approach actual motion state.

Although the present invention describes by specific embodiment, it will be appreciated by those skilled in the art that, without departing from the present invention, can also carry out various conversion and be equal to alternative the present invention.In addition, for particular condition or application, can make various amendments to the present invention, and not depart from the scope of the present invention.Therefore, the present invention is not limited to disclosed specific embodiment, and should comprise the whole embodiments that fall within the scope of the claims in the present invention.

Claims (10)

1. a transmission facility state evaluating method, is characterized in that, it comprises the following steps:

Step S1, merge multi-source heterogeneous information, adopt the Model Establishment of multi-layer framework to play the state estimation parameter system of transmission facility, described multi-source heterogeneous information at least comprises equipment on-line monitoring and O&M maintenance information, operation of power networks information and environmental state information, described state estimation parameter system comprises the transmission facility layer that is made from multiple components, for enumerating that each unit status is assessed the state-detection layer of corresponding quantity of state and for enumerating the sensor layer of various kinds of sensors parameter, the original vol that described sensor parameters is described quantity of state;

The state grade of step S2, definite assessment, and obtain fuzzy evaluation matrix according to the quantity of state limit value in design document and comment directive/guide;

Step S3, employing information Entropy Method are determined the objective weight of each quantity of state;

Step S4, employing analytical hierarchy process are determined the subjective weight of each quantity of state, and described supervisor's weight is combined with objective weight, calculate the comprehensive weight of each quantity of state;

Step S5, according to the comprehensive weight in fuzzy evaluation matrix and step S4 in step S2, calculate the state estimation matrix of each parts and the state estimation matrix of transmission facility entirety.

2. transmission facility state evaluating method according to claim 1, is characterized in that, the quantity of state in described step S1 comprises detection data and basic data.

3. transmission facility state evaluating method according to claim 2, is characterized in that, described step S2 comprises:

Step S2.1, the measured value of each quantity of state is normalized, departs from the relative inferiority degree of normal operating conditions to describe each quantity of state;

Step S2.2, to transmission facility state be divided into well, general, attention, serious 4 state grades, determine respectively the membership function of each quantity of state facing to 4 kinds of state grades by trigonometric sum half is trapezoidal;

Step S2.3, the measured value of each quantity of state is normalized to rear substitution membership function, calculates the degree of membership value of each quantity of state corresponding to 4 kinds of state grades, obtain fuzzy evaluation matrix, described fuzzy evaluation matrix is:

$R=\left[\begin{array}{c}{R}_1\\ R_2\\ ...\\ R_n\end{array}\right]=\left[\begin{array}{cccc}{r}_{11}& r_{12}& r_{13}& r_{14}\\ r_{21}& r_{22}& r_{23}& r_{24}\\ ...& ...& ...& ...\\ r_{n1}& r_{n2}& r_{n3}& r_{n4}\end{array}\right]---\left(1\right)$

Wherein, the fuzzy evaluation matrix that R is each parts, R _ifor the fuzzy evaluation matrix of i quantity of state in the fuzzy evaluation matrix R of each parts, r _ijrepresent each quantity of state u _ito comment v _jmembership; 0≤r _ij≤ 1, j=4.

4. transmission facility state evaluating method according to claim 3, is characterized in that, described normalized comprises:

For very big type quantity of state, the larger state of its numerical value is more excellent, and its computing formula is:

f(x)=(x-a)/(b-a) （2）

For minimal type quantity of state, the less state of its numerical value is more excellent, and its computing formula is:

f(x)=(b-x)/(b-a) （3）

Wherein, the relative inferiority degree that f (x) is i quantity of state, the measured value that x is i quantity of state; A is the ratings of i quantity of state, the demand value that b is i quantity of state.

5. transmission facility state evaluating method according to claim 4, is characterized in that, described step S3 comprises the following steps:

Step S3.1, calculate each quantity of state u _ientropy H _i:

$H_i=-k\underset{j=1}{\overset{4}{\mathrm{\&Sigma;}}}{r}_{\mathrm{ij}}\ln r_{\mathrm{ij}}---\left(4\right)$

Wherein, k=ln4, r _ijmeet and work as r _ij=0 o'clock, H _i=0;

Step S3.2, calculate each quantity of state u _icoefficient of variation g _i:

g _i=1-H _i（5）

Step S3.3, calculate each quantity of state u _iobjective weight e _i:

$e_i=\frac{g_i}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{g}_i}---\left(6\right).$

6. transmission facility state evaluating method according to claim 5, is characterized in that, described step S4 comprises the following steps:

Step S4.1, obtain judgment matrix P according to expertise;

Step S4.2, judgment matrix P is carried out to consistency check:

CR=CI/RI （7）

Wherein, CR is the random Consistency Ratio of judgment matrix P, the general coincident indicator that CI is judgment matrix, and the computing method of described CI are:

$\mathrm{CI}=\frac{1}{n-1}({\mathrm{\&lambda;}}_{\max }-n)---\left(8\right)$

Wherein, RI is called the general coincident indicator of judgment matrix P, along with the exponent number of judgment matrix P is got fixed numbers, and λ _maxfor the maximum characteristic root of judgment matrix P;

In the time of CR<0.1, think that judgment matrix P has satisfied consistance, the rationality that flexible strategy are distributed is described; Otherwise need to adjust judgment matrix, until by consistency check;

Step S4.3, after judgment matrix P is by inspection, obtain the corresponding proper vector C={c of maximum characteristic root of judgment matrix P ₁, c ₂..., c _n, required proper vector C is each quantity of state importance ranking, c _iit is the subjective weighted value of i quantity of state;

Step S4.4, subjective weight and objective weight are combined, calculate comprehensive weight:

$w_i=\frac{c_i{e}_i^{\&PartialD;}}{\mathrm{\&Sigma;}{c}_i{e}_i^{\&PartialD;}}---\left(9\right)$

Wherein, w _ibe the comprehensive weight of i quantity of state, for becoming weight coefficient.

7. transmission facility state evaluating method according to claim 6, is characterized in that, described in

8. transmission facility state evaluating method according to claim 6, is characterized in that, described parts are 9, is respectively basis, shaft tower, wire, ground wire, insulator, gold utensil, earthing device, affiliated facility, channel environment.

9. transmission facility state evaluating method according to claim 8, is characterized in that, described step S5 comprises the following steps:

Step S5.1, obtain and calculate the state estimation matrix of all parts:

Wherein, B represents the state estimation matrix of a certain parts, w={w ₁, w ₂..., w _nrepresent the comprehensive weight of these parts, w _ifor the comprehensive weight of i quantity of state in these parts, $R=\left[\begin{array}{cccc}{r}_{11}& r_{12}& r_{13}& r_{14}\\ r_{21}& r_{22}& r_{23}& r_{24}\\ ...& ...& ...& ...\\ r_{n1}& r_{n2}& r_{n3}& r_{n4}\end{array}\right]$ Represent the fuzzy evaluation matrix of these parts, b ₁, b ₂, b ₃, b ₄represent respectively that these parts are under the jurisdiction of well, general, attention, serious degree of membership;

Step S5.2, obtain and calculate the state estimation matrix of transmission facility entirety:

Wherein, W _parts={ W ₁, W ₂..., W ₉in W ₁-W ₉be respectively the comprehensive weight of 9 parts, the comprehensive weight computing formula of each parts is formula (9), in B ₁-B ₉be respectively the state estimation matrix of 9 parts, the computing formula of the state estimation matrix of each parts is formula (10), B _entirety={ d ₁, d ₂, d ₃, d ₄, wherein, d ₁-d ₄be respectively transmission facility entirety and belong in good condition, general, attention, serious state estimation matrix;

Step S5.3, give respectively score value 1,2,3,4 to state grade, then average to the fuzzy set theory of 4 kinds of states according to evaluation result, draw the value of form factor:

$f=\underset{j=1}{\overset{4}{\mathrm{\&Sigma;}}}{d}_j^{k}h/\underset{j=1}{\overset{4}{\mathrm{\&Sigma;}}}{d}_j^k---\left(12\right)$

Wherein f is form factor, and h is the score value of 4 state grades, and k is undetermined coefficient.

10. transmission facility state evaluating method according to claim 9, is characterized in that, described k=1.