CN103942458A - Wide-range power transmission line forest fire emergency disposal optimization intelligent decision making method - Google Patents

Abstract

The invention discloses a wide-range power transmission line forest fire emergency disposal optimization intelligent decision making method. The wide-range power transmission line forest fire emergency disposal optimization intelligent decision making method comprises the following steps of 1 obtaining power transmission line warning forest fire point data; 2 calculating a distance between a fire point and a nearby pole tower; 3 predicting the dangerousness degree of the fire point; 4 sequentially arranging extinguishment; 5 searching reserved data of extinguishment facilities; 6 generating a plurality of extinguishment emergency disposal decision schemes; 7 selecting an optimal emergency disposal decision scheme from the extinguishment emergency disposal decision schemes generated in the step 6, namely a wide-range power transmission line forest fire optimal emergency disposal intelligent decision scheme. The method had the advantages that limited extinguishment teams and materials can be utilized to the most degree so as to achieve optimal power transmission line forest fire disposal efficiency and benefit; advanced deployment can be guided, the forest fire disposal capacity of a power grid can be improved.

Description

Transmission line forest fire emergency disposal Intelligent Optimal decision-making technique on a large scale

Technical field

The invention belongs to electrical engineering technical field, be specifically related to one transmission line forest fire emergency disposal Intelligent Optimal decision-making technique on a large scale.

Background technology

In recent years, mountain fire takes place frequently near transmission line of electricity, has caused and has comprised the extra-high voltage alternating current-direct current circuit stoppage in transit accident that repeatedly trips, and serious threat is to large power network safety operation.For example clear and bright in the mountain fire high-incidence season, Spring Festival, near transmission line of electricity, the mountain fire quantity of outburst is up to hundreds of thousands of, but fire extinguishing troop and goods and materials are very limited, traditional fire extinguishing troop and extinguishing material are often attended to one thing and lose sight of another in the time tackling on a large scale mountain fire, be difficult to reach the maximization of fire extinguishing scope and fire extinguishing benefit, in the urgent need to the transmission line forest fire emergency disposal Using Intelligent Decision-making Method that proposes to optimize, for the transmission line forest fire situation that takes place frequently, consider extinguishing material deposit and characteristic distributions thereof, transmission line of electricity significance level, the key elements such as mountain fire fire behavior feature, formulate optimum transmission line forest fire emergency disposal scheme, maximally utilise limited fire extinguishing troop and extinguishing material, reach best transmission line forest fire disposal efficiency and benefit.

Summary of the invention

The technical problem to be solved in the present invention is, take place frequently and equipment and feature backward in technique near mountain fire transmission line of electricity, one transmission line forest fire emergency disposal Intelligent Optimal decision-making technique is on a large scale provided, use the method can automatically generate optimum mountain fire emergency disposal scheme, improve efficiency and benefit that mountain fire is disposed, require the method thinking novelty, simple to operate, practical.

Technical scheme of the present invention is, consider transmission line of electricity significance level, mountain fire hazard level, mountain fire distribution characteristics, mountain fire fire behavior factors, make full use of existing fire-fighting equipment, provide one transmission line forest fire emergency disposal Intelligent Optimal decision-making technique on a large scale, in order to improve efficiency and the benefit of transmission line forest fire emergency disposal.The method comprises the steps: specifically

(1), use satellite infrared remote sensing data receiving system or on-line search, obtain and entrust transmission line of electricity alarm mountain fire fire point data;

(2), metrology steps (1) obtains the distance of entrusting between transmission line of electricity alarm mountain fire fire point and near shaft tower;

(3), obtain meteorology, geography, the vegetation condition of entrusting transmission line of electricity alarm mountain fire fire point locality, location according to step (1), use conventional method, calculate the key feature of this fire point, comprise the time, burnt area, flue dust height, dust concentration, the flame height that arrive alarm shaft tower tripping operation warning distance, dope the risk degree of this fire point;

(4), survey the risk degree of described fire point according to step (3), sequentially arrange from large to small fire extinguishing by risk degree size, the dangerous index of described fire point adopts following formula calculating:

$I_k=\frac{V_{\mathrm{line}}\·S_{\mathrm{fire}}\·H_{\mathrm{smoke}}\·{\mathrm{\ρ}}_{\mathrm{smoke}}\·H_{\mathrm{fire}}}{D_{\mathrm{fire}}\·T_{\mathrm{spread}}}$

In formula, I _krepresent the dangerous index of k fire point; V _linerepresent transmission line of electricity electric pressure; S _firerepresent fire point spread to alarm shaft tower tripping operation warning apart from time burnt area; H _smokerepresent fire point spread to alarm shaft tower tripping operation warning apart from time flue dust height; ρ _smokerepresent fire point spread to alarm shaft tower tripping operation warning apart from time dust concentration; H _firerepresent fire point spread to alarm shaft tower tripping operation warning apart from time flame height; D _firerepresent the distance of fire point to alarm shaft tower tripping operation warning distance; T _spreadrepresent that fire point spreads to the time of alarm shaft tower tripping operation warning distance.Because the dimension of above-mentioned variable exists larger difference, therefore need the value of the above-mentioned variable of normalized;

(5), on-line search go out the to put out a fire reservoir data of existing fire-fighting equipment in goods and materials management database, comprising: the geographic distribution position of the deposit quantity of the extinguishing property index of high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb, high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb, high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb; If (1 need not need tell better address and concrete way to find database online.2, large-scale small-sized meeting causes much how little problems.3, etc. can cause the problem that also has on earth which fire extinguishing goods and materials.)

(6), the reservoir data that obtained the dangerous index of fire point, existing fire-fighting equipment that step (5) is searched out taking step (4) is as foundation, uses monte carlo method to generate several fire extinguishing emergency disposal decision schemes;

(7), (abbreviation that English full name is " Technique for Order Preference by Similarity to an Ideal Solution ", Chinese translation is " ideal solution approaches ordering techniques " to the TOPSIS of use based on considering subjective and objective weight.) decision model, obtain several fire extinguishing emergency disposal decision schemes from step (6), follow these steps to select optimum emergency disposal decision scheme:

(7.1), calculating target function.To entrust the economic loss of transmission line forest fire tripping operation generation, the consumption of materials of putting out a fire, fire extinguishing goods and materials cost of wheeling as target, to calculate step (6) target function value that obtains several fire extinguishing emergency disposal decision schemes.

(7.2), the index evaluation of estimate matrix of numerical procedure.If step (6) obtains fire extinguishing emergency disposal, decision scheme is m, evaluation index n, and with X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, step (6) obtains the index evaluation of estimate matrix of fire extinguishing emergency disposal decision scheme and is:

$X=\left[\begin{array}{cccccc}{X}_{11},& X_{12},& .& .& .,& X_{1n}\\ X_{21},& X_{22},& .& .& .,& X_{2n}\\ .& .& & .& & \·\\ .& .& & .& & \·\\ .,& .,& & .,& & \·\\ X_{\mathrm{ml}},& X_{m2},& .& .& .,& X_{\mathrm{mn}}\end{array}\right]$

In formula, X is the index evaluation of estimate matrix of fire extinguishing emergency disposal decision scheme, X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.3), normalized.Due to the dimension difference of each evaluation index, for the ease of relatively, need to be normalized with the index evaluation of estimate matrix that following formula obtains fire extinguishing emergency disposal decision scheme to step (7.2);

$r_{\mathrm{ij}}=\frac{X_{\mathrm{ij}}}{\underset{i=1}{\overset{m}{\mathrm{\Σ}}}{X}_{\mathrm{ij}}},(i=\mathrm{1,2},\·\·\·,m;j=\mathrm{1,2},\·\·\·,n)$

R in formula _ijbe the normalization evaluation of estimate of j index of i emergency disposal decision scheme, X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.4), determine the weight of evaluation index.Adopt expert opinion investigation method to determine the weights W of described evaluation index _j;

(7.5), matrix is evaluated in parameter weighting.With the weight factor W of the determined described evaluation index of step (7.4) _j, the index weighting evaluation matrix that calculation procedure (6) obtains fire extinguishing emergency disposal scheme is:

$V=\left[\begin{array}{cccccc}{w}_1{r}_{11},& w_2{r}_{12},& \·& \·& \·,& w_n{r}_{1n}\\ w_1{r}_{21},& w_2{r}_{22}& \·& \·& \·,& w_n{r}_{2n}\\ \·& \·& & \·& & \·\\ \·& \·& & \·& & \·\\ \·,& \·,& & \·,& & \·\\ w_1{r}_{m1}& w_2{r}_{m2},& \·& \·& \·& w_m{r}_{\mathrm{mn}}\end{array}\right]=\left[\begin{array}{cccccc}{v}_{11},& v_{12},& \·& \·& \·,& v_{1n}\\ v_{21},& v_{22},& \·& \·& \·,& v_{2n}\\ \·& \·& & \·& & \·\\ \·& \·& & \·& & \·\\ \·,& \·,& & \·,& & \·\\ v_{m1},& v_{m2},& \·& \·& \·,& v_{\mathrm{mn}}\end{array}\right]$

In formula, V is the index weighting evaluation matrix of fire extinguishing emergency disposal scheme, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, w _jbe the weight factor of j index, r _ijbe the normalization evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.6), parameter weighting evaluation of estimate.Calculate according to the following formula optimal index weighting evaluation of estimate and least desirable index weighting evaluation of estimate:

$A^{+}=\{v_1^{+},v_2^{+},\·\·\·,v_n^{+}\}=\left\{\max v_{\mathrm{ij}}\right|i=\mathrm{1,2},\·\·\·,m\}$

$A^{-}=\{v_1^{-},v_2^{-},\·\·\·,v_n^{-}\}=\left\{\max v_{\mathrm{ij}}\right|i=\mathrm{1,2},\·\·\·,m\}$

In above two formulas, A ⁺for the set of optimal index weighting evaluation of estimate, A ^-for least desirable index weighting evaluation of estimate set, be the optimal index weighting evaluation of estimate of j index, be the least desirable index weighting evaluation of estimate of j index, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.7), calculate distance.According to following multidimensional Euclidean distance computing formula, calculate step (6) obtain fire extinguishing emergency disposal decision scheme respectively with the distance of the distance of optimal index weighting evaluation of estimate and least desirable index weighting evaluation of estimate.Multidimensional Euclidean distance computing formula is:

$L_i^{+}=\sqrt{\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ij}}-v_j^{+})}^2},(i=\mathrm{1,2},\·\·\·,m)$

$L_i^{-}=\sqrt{\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ij}}-v_j^{-})}^2},(i=\mathrm{1,2},\·\·\·,m)$

In above formula, for described scheme and the distance of the most desirable index weighting evaluation of estimate, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, it is the optimal index weighting evaluation of estimate of j index;

In following formula, for described scheme and the distance of least desirable index weighting evaluation of estimate, it is the least desirable index weighting evaluation of estimate of j index;

(7.8), calculate TOPSIS evaluation of estimate.Calculate according to the following formula the TOPSIS evaluation of estimate that step (6) obtains fire extinguishing emergency disposal decision scheme:

$Y_i=\frac{L_i^{-}}{L_i^{+}+L_i^{-}},(i=\mathrm{1,2},\·\·\·,m)$

In formula, Y _ifor the TOPSIS evaluation of estimate of described scheme, for described scheme and the distance of the most desirable index weighting evaluation of estimate, for described scheme and the distance of least desirable index weighting evaluation of estimate;

(7.9), select optimum emergency disposal decision scheme.The step (6) calculating according to step (7.8) obtains the size of the TOPSIS evaluation of estimate of fire extinguishing emergency disposal decision scheme, select the maximum emergency disposal decision scheme of TOPSIS value and be the optimum emergency disposal decision scheme that can be used for entrusting transmission line forest fire, that is the optimum emergency disposal decision scheme of transmission line forest fire on a large scale.

The invention has the beneficial effects as follows:

1), can formulate fast the optimum emergency disposal of transmission line forest fire on a large scale decision scheme, maximally utilise limited fire extinguishing troop and extinguishing material, reach efficiency and benefit that optimum transmission line forest fire is disposed.

2), available this method instructs transmission line forest fire hotspot and high incidence period to dispose in advance fire extinguishing troop and fire extinguishing goods and materials, strengthens electrical network mountain fire disposing capacity.

Embodiment

Embodiment 1:

(1) the satellite infrared remote sensing data receiving system that, uses the anti-icing mitigation technology of China national electrical network power transmission and transforming equipment key lab to combine construction with national weather satellite center obtains entrusts transmission line of electricity alarm mountain fire fire point data;

(2), metrology steps (1) obtains the distance of entrusting between transmission line of electricity alarm mountain fire fire point and near shaft tower;

(3), obtain meteorology, geography, the vegetation condition of entrusting transmission line of electricity alarm mountain fire fire point locality, location according to step (1), use conventional method, calculate the key feature of this fire point, comprise the time, burnt area, flue dust height, dust concentration, the flame height that arrive alarm shaft tower tripping operation warning distance, dope the risk degree of this fire point;

(4), survey the risk degree of described fire point according to step (3), sequentially arrange from large to small fire extinguishing by risk degree size, the dangerous index of described fire point adopts following formula calculating:

$I_k=\frac{V_{\mathrm{line}}\·S_{\mathrm{fire}}\·H_{\mathrm{smoke}}\·{\mathrm{\ρ}}_{\mathrm{smoke}}\·H_{\mathrm{fire}}}{D_{\mathrm{fire}}\·T_{\mathrm{spread}}}$

In formula, I _krepresent the dangerous index of k fire point; V _linerepresent transmission line of electricity electric pressure; S _firerepresent fire point spread to alarm shaft tower tripping operation warning apart from time burnt area; H _smokerepresent fire point spread to alarm shaft tower tripping operation warning apart from time flue dust height; ρ _smokerepresent fire point spread to alarm shaft tower tripping operation warning apart from time dust concentration; H _firerepresent fire point spread to alarm shaft tower tripping operation warning apart from time flame height; D _firerepresent the distance of fire point to alarm shaft tower tripping operation warning distance; T _spreadrepresent that fire point spreads to the time of alarm shaft tower tripping operation warning distance.The value of the above-mentioned variable of normalized;

(5), on-line search go out the to put out a fire reservoir data of existing fire-fighting equipment in goods and materials management database, comprising: the geographic distribution position of the deposit quantity of the extinguishing property index of high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb, high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb, high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb;

(6), the reservoir data that obtained the dangerous index of fire point, existing fire-fighting equipment that step (5) is searched out taking step (4) is as foundation, uses monte carlo method to generate several fire extinguishing emergency disposal decision schemes;

(7), use TOPSIS decision model, obtain several from step (6) and put out a fire emergency disposal decision schemes, follow these steps to select optimum emergency disposal decision scheme:

(7.1), calculating target function.To entrust the economic loss of transmission line forest fire tripping operation generation, the consumption of materials of putting out a fire, fire extinguishing goods and materials cost of wheeling as target, to calculate step (6) target function value that obtains several fire extinguishing emergency disposal decision schemes.

(7.2), the index evaluation of estimate matrix of numerical procedure.If step (6) obtains fire extinguishing emergency disposal, decision scheme is m, evaluation index n, and with X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, step (6) obtains the index evaluation of estimate matrix of fire extinguishing emergency disposal decision scheme and is:

$X=\left[\begin{array}{cccccc}{X}_{11},& X_{12},& .& .& .,& X_{1n}\\ X_{21},& X_{22},& .& .& .,& X_{2n}\\ .& .& & .& & \·\\ .& .& & .& & \·\\ .,& .,& & .,& & \·\\ X_{\mathrm{ml}},& X_{m2},& .& .& .,& X_{\mathrm{mn}}\end{array}\right]$

In formula, X is the index evaluation of estimate matrix of fire extinguishing emergency disposal decision scheme, X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.3), normalized.Be normalized with the index evaluation of estimate matrix that following formula obtains fire extinguishing emergency disposal decision scheme to step (7.2);

$r_{\mathrm{ij}}=\frac{X_{\mathrm{ij}}}{\underset{i=1}{\overset{m}{\mathrm{\Σ}}}{X}_{\mathrm{ij}}},(i=\mathrm{1,2},\·\·\·,m;j=\mathrm{1,2},\·\·\·,n)$

R in formula _ijbe the normalization evaluation of estimate of j index of i emergency disposal decision scheme, X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.4), determine the weight of evaluation index.Adopt expert opinion investigation method to determine the weights W of described evaluation index _j;

(7.5), matrix is evaluated in parameter weighting.With the weight factor W of the determined described evaluation index of step (7.4) _j, the index weighting evaluation matrix that calculation procedure (6) obtains fire extinguishing emergency disposal scheme is:

$V=\left[\begin{array}{cccccc}{w}_1{r}_{11},& w_2{r}_{12},& \·& \·& \·,& w_n{r}_{1n}\\ w_1{r}_{21},& w_2{r}_{22}& \·& \·& \·,& w_n{r}_{2n}\\ \·& \·& & \·& & \·\\ \·& \·& & \·& & \·\\ \·,& \·,& & \·,& & \·\\ w_1{r}_{m1}& w_2{r}_{m2},& \·& \·& \·& w_m{r}_{\mathrm{mn}}\end{array}\right]=\left[\begin{array}{cccccc}{v}_{11},& v_{12},& \·& \·& \·,& v_{1n}\\ v_{21},& v_{22},& \·& \·& \·,& v_{2n}\\ \·& \·& & \·& & \·\\ \·& \·& & \·& & \·\\ \·,& \·,& & \·,& & \·\\ v_{m1},& v_{m2},& \·& \·& \·,& v_{\mathrm{mn}}\end{array}\right]$

In formula, V is the index weighting evaluation matrix of fire extinguishing emergency disposal scheme, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, w _jbe the weight factor of j index, r _ijbe the normalization evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.6), parameter weighting evaluation of estimate.Calculate according to the following formula optimal index weighting evaluation of estimate and least desirable index weighting evaluation of estimate:

$A^{+}=\{v_1^{+},v_2^{+},\·\·\·,v_n^{+}\}=\left\{\max v_{\mathrm{ij}}\right|i=\mathrm{1,2},\·\·\·,m\}$

$A^{-}=\{v_1^{-},v_2^{-},\·\·\·,v_n^{-}\}=\left\{\max v_{\mathrm{ij}}\right|i=\mathrm{1,2},\·\·\·,m\}$

In above two formulas, A ⁺for the set of optimal index weighting evaluation of estimate, A ^-for least desirable index weighting evaluation of estimate set, be the optimal index weighting evaluation of estimate of j index, be the least desirable index weighting evaluation of estimate of j index, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.7), calculate distance.According to following multidimensional Euclidean distance computing formula, calculate step (6) obtain fire extinguishing emergency disposal decision scheme respectively with the distance of the distance of optimal index weighting evaluation of estimate and least desirable index weighting evaluation of estimate.Multidimensional Euclidean distance computing formula is:

$L_i^{+}=\sqrt{\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ij}}-v_j^{+})}^2},(i=\mathrm{1,2},\·\·\·,m)$

$L_i^{-}=\sqrt{\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ij}}-v_j^{-})}^2},(i=\mathrm{1,2},\·\·\·,m)$

In above formula, for described scheme and the distance of the most desirable index weighting evaluation of estimate, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, it is the optimal index weighting evaluation of estimate of j index;

In following formula, for described scheme and the distance of least desirable index weighting evaluation of estimate, it is the least desirable index weighting evaluation of estimate of j index;

(7.8), calculate TOPSIS evaluation of estimate.Calculate according to the following formula the TOPSIS evaluation of estimate that step (6) obtains fire extinguishing emergency disposal decision scheme:

$Y_i=\frac{L_i^{-}}{L_i^{+}+L_i^{-}},(i=\mathrm{1,2},\·\·\·,m)$

In formula, Y _ifor the TOPSIS evaluation of estimate of described scheme, for described scheme and the distance of the most desirable index weighting evaluation of estimate, for described scheme and the distance of least desirable index weighting evaluation of estimate;

(7.9), select optimum emergency disposal decision scheme.The step (6) calculating according to step (7.8) obtains the size of the TOPSIS evaluation of estimate of fire extinguishing emergency disposal decision scheme, select the maximum emergency disposal decision scheme of TOPSIS value and be the optimum emergency disposal decision scheme that can be used for entrusting transmission line forest fire, that is the optimum emergency disposal decision scheme of transmission line forest fire on a large scale.

Embodiment 2:

(1), on-line search, obtain and entrust transmission line of electricity alarm mountain fire fire point data;

Step (2)～(7) are with embodiment 1.

Claims (1)

1. a transmission line forest fire emergency disposal Intelligent Optimal decision-making technique on a large scale, the method comprises the steps:

(1), use satellite infrared remote sensing data receiving system or on-line search, obtain and entrust transmission line of electricity alarm mountain fire fire point data;

(2), metrology steps (1) obtains the distance of entrusting between transmission line of electricity alarm mountain fire fire point and near shaft tower;

(3), obtain meteorology, geography, the vegetation condition of entrusting transmission line of electricity alarm mountain fire fire point locality, location according to step (1), use conventional method, calculate the key feature of this fire point, comprise the time, burnt area, flue dust height, dust concentration, the flame height that arrive alarm shaft tower tripping operation warning distance, dope the risk degree of this fire point;

(4), according to the risk degree of step (3) institute fire detecting point, sequentially arrange from large to small fire extinguishing by risk degree size, the dangerous index of described fire point adopts following formula to calculate:

$I_k=\frac{V_{\mathrm{line}}\·S_{\mathrm{fire}}\·H_{\mathrm{smoke}}\·{\mathrm{\ρ}}_{\mathrm{smoke}}\·H_{\mathrm{fire}}}{D_{\mathrm{fire}}\·T_{\mathrm{spread}}}$

In formula, I _krepresent the dangerous index of k fire point; V _linerepresent transmission line of electricity electric pressure; S _firerepresent fire point spread to alarm shaft tower tripping operation warning apart from time burnt area; H _smokerepresent fire point spread to alarm shaft tower tripping operation warning apart from time flue dust height; ρ _smokerepresent fire point spread to alarm shaft tower tripping operation warning apart from time dust concentration; H _firerepresent fire point spread to alarm shaft tower tripping operation warning apart from time flame height; D _firerepresent the distance of fire point to alarm shaft tower tripping operation warning distance; T _spreadrepresent that fire point spreads to the time of alarm shaft tower tripping operation warning distance, the value of the above-mentioned variable of normalized;

(5), on-line search go out the to put out a fire reservoir data of existing fire-fighting equipment in goods and materials management database, comprising: the geographic distribution position of the deposit quantity of the extinguishing property index of high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb, high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb, high-pressure extinction platform, spiral fine mist fire-fighting machine, fire extinguishing mop, fire extinguisher bomb;

(6), the reservoir data that obtained the dangerous index of fire point, existing fire-fighting equipment that step (5) is searched out taking step (4) is as foundation, uses monte carlo method to generate several fire extinguishing emergency disposal decision schemes;

(7), use TOPSIS decision model, obtain several from step (6) and put out a fire emergency disposal decision schemes, follow these steps to select optimum emergency disposal decision scheme:

(7.1), calculating target function, taking the economic loss of entrusting transmission line forest fire tripping operation to produce, the consumption of materials of putting out a fire, fire extinguishing goods and materials cost of wheeling as target, calculate the target function value that step (6) obtains several fire extinguishing emergency disposal decision schemes

(7.2), the index evaluation of estimate matrix of numerical procedure, establishing step (6), to obtain fire extinguishing emergency disposal decision scheme be m, evaluation index n, with X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, step (6) obtains the index evaluation of estimate matrix of fire extinguishing emergency disposal decision scheme and is:

$X=\left[\begin{array}{cccccc}{X}_{11},& X_{12},& .& .& .,& X_{1n}\\ X_{21},& X_{22},& .& .& .,& X_{2n}\\ .& .& & .& & \·\\ .& .& & .& & \·\\ .,& .,& & .,& & \·\\ X_{\mathrm{ml}},& X_{m2},& .& .& .,& X_{\mathrm{mn}}\end{array}\right]$

In formula, X is the index evaluation of estimate matrix of fire extinguishing emergency disposal decision scheme, X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.3), normalized, be normalized with the index evaluation of estimate matrix that following formula obtains fire extinguishing emergency disposal decision scheme to step (7.2);

$r_{\mathrm{ij}}=\frac{X_{\mathrm{ij}}}{\underset{i=1}{\overset{m}{\mathrm{\Σ}}}{X}_{\mathrm{ij}}},(i=\mathrm{1,2},\·\·\·,m;j=\mathrm{1,2},\·\·\·,n)$

R in formula _ijbe the normalization evaluation of estimate of j index of i emergency disposal decision scheme, X _ijrepresent the evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.4), determine the weight of evaluation index, adopt expert opinion investigation method to determine the weights W of described evaluation index _j;

(7.5), parameter weighting evaluate matrix, with the weight factor W of the determined described evaluation index of step (7.4) _j, the index weighting evaluation matrix that calculation procedure (6) obtains fire extinguishing emergency disposal scheme is:

$V=\left[\begin{array}{cccccc}{w}_1{r}_{11},& w_2{r}_{12},& \·& \·& \·,& w_n{r}_{1n}\\ w_1{r}_{21},& w_2{r}_{22}& \·& \·& \·,& w_n{r}_{2n}\\ \·& \·& & \·& & \·\\ \·& \·& & \·& & \·\\ \·,& \·,& & \·,& & \·\\ w_1{r}_{m1}& w_2{r}_{m2},& \·& \·& \·& w_m{r}_{\mathrm{mn}}\end{array}\right]=\left[\begin{array}{cccccc}{v}_{11},& v_{12},& \·& \·& \·,& v_{1n}\\ v_{21},& v_{22},& \·& \·& \·,& v_{2n}\\ \·& \·& & \·& & \·\\ \·& \·& & \·& & \·\\ \·,& \·,& & \·,& & \·\\ v_{m1},& v_{m2},& \·& \·& \·,& v_{\mathrm{mn}}\end{array}\right]$

In formula, V is the index weighting evaluation matrix of fire extinguishing emergency disposal scheme, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, w _jbe the weight factor of j index, r _ijbe the normalization evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.6), parameter weighting evaluation of estimate, calculate according to the following formula optimal index weighting evaluation of estimate and least desirable index weighting evaluation of estimate:

$A^{+}=\{v_1^{+},v_2^{+},\·\·\·,v_n^{+}\}=\left\{\max v_{\mathrm{ij}}\right|i=\mathrm{1,2},\·\·\·,m\}$

$A^{-}=\{v_1^{-},v_2^{-},\·\·\·,v_n^{-}\}=\left\{\max v_{\mathrm{ij}}\right|i=\mathrm{1,2},\·\·\·,m\}$

In above two formulas, A ⁺for the set of optimal index weighting evaluation of estimate, A ^-for least desirable index weighting evaluation of estimate set, be the optimal index weighting evaluation of estimate of j index, be the least desirable index weighting evaluation of estimate of j index, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, m is scheme number, and n is evaluation index number;

(7.7), calculate distance, according to following multidimensional Euclidean distance computing formula, calculate step (6) obtain fire extinguishing emergency disposal decision scheme respectively with the distance of the distance of optimal index weighting evaluation of estimate and least desirable index weighting evaluation of estimate, multidimensional Euclidean distance computing formula is:

$L_i^{+}=\sqrt{\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ij}}-v_j^{+})}^2},(i=\mathrm{1,2},\·\·\·,m)$

$L_i^{-}=\sqrt{\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ij}}-v_j^{-})}^2},(i=\mathrm{1,2},\·\·\·,m)$

In above formula, for described scheme and the distance of the most desirable index weighting evaluation of estimate, v _ijbe the weighting evaluation of estimate of j index of i emergency disposal decision scheme, it is the optimal index weighting evaluation of estimate of j index;

In following formula, for described scheme and the distance of least desirable index weighting evaluation of estimate, it is the least desirable index weighting evaluation of estimate of j index;

(7.8), calculate TOPSIS evaluation of estimate, calculate according to the following formula step (6) and obtain the TOPSIS evaluation of estimate of the emergency disposal decision scheme of putting out a fire:

$Y_i=\frac{L_i^{-}}{L_i^{+}+L_i^{-}},(i=\mathrm{1,2},\·\·\·,m)$

In formula, Y _ifor the TOPSIS evaluation of estimate of described scheme, for described scheme and the distance of the most desirable index weighting evaluation of estimate, for described scheme and the distance of least desirable index weighting evaluation of estimate;

(7.9), select optimum emergency disposal decision scheme, the step (6) calculating according to step (7.8) obtains the size of the TOPSIS evaluation of estimate of fire extinguishing emergency disposal decision scheme, select the maximum emergency disposal decision scheme of TOPSIS value and be the optimum emergency disposal decision scheme that can be used for entrusting transmission line forest fire, that is the optimum emergency disposal decision scheme of transmission line forest fire on a large scale.