Firefighting equipment deployment method and processor for transmission line wildfire group failure

Abstract

The embodiment of the present invention provides a method for deploying fire-fighting equipment for group wildfire failures of power transmission lines, a processor, a fire-fighting equipment deployment system and a machine-readable storage medium. The method for deploying fire-fighting equipment includes: obtaining the percentage change of grid frequency and the percentage change of grid voltage after the line where the fire point is located trips; calculating the risk of the fire point based on the percentage change of grid frequency and the percentage change of grid voltage; obtaining the maximum burning time of the fire point; obtaining the profit of fire-fighting equipment after going to the fire point to put out the fire based on the risk and the maximum burning time; constructing a total profit optimization model for fire-fighting equipment to go to the fire point to put out the fire based on the profit; obtaining the best calculation result of the total profit optimization model, and determining the fire-fighting deployment route of the fire-fighting equipment based on the best calculation result. The method can quickly formulate the optimal deployment strategy of fire-fighting equipment to minimize the power grid loss, and plays an important role in guiding the fire-fighting equipment to implement the optimal power grid wildfire rescue and reduce the power grid loss.

Description

Technical Field

[0001] The present invention relates to the field of electrical engineering and computer processing technology, and in particular to a method for deploying fire-fighting equipment for group failures of wildfires on power transmission lines, a processor, a fire-fighting equipment deployment system and a machine-readable storage medium. Background Art

[0002] Wildfire disasters in power grids are one of the most serious natural disasters that affect the safe and stable operation of power grids. Every year, wildfire disasters cause hundreds of transmission lines to trip, resulting in power outages and power shortages. Wildfires tend to break out in concentrated areas during peak periods, which may cause chain failures in power grids. However, the fire-fighting equipment deployment methods in existing technologies are difficult to reasonably allocate limited fire-fighting equipment resources, which leads to a high risk of mass failures in power grids due to wildfires. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a method for deploying fire-fighting equipment for group wildfire failures in power transmission lines, a processor, a fire-fighting equipment deployment system and a machine-readable storage medium. The method for deploying fire-fighting equipment for group wildfire failures in power transmission lines, the processor, the fire-fighting equipment deployment system and the machine-readable storage medium can quickly and accurately determine the firefighting deployment route of the fire-fighting equipment so as to reasonably deploy limited fire-fighting equipment resources.

[0004] In order to achieve the above-mentioned object, the first aspect of the present invention provides a method for deploying fire-fighting equipment for a group failure of a wildfire on a power transmission line, the method comprising:

[0005] Obtain the percentage change of the grid frequency and the percentage change of the grid voltage after the line where the fire point is located trips;

[0006] Calculate the risk of fire points based on the percentage change in grid frequency and the percentage change in grid voltage;

[0007] Get the maximum burning time of the fire point;

[0008] Obtain the benefits of firefighting equipment after going to the fire point to put out the fire based on risk and maximum burning time;

[0009] Based on the revenue, a total revenue optimization model for firefighting equipment to put out fires is constructed;

[0010] Obtain the best calculation results of the total benefit optimization model, and determine the firefighting deployment route of the fire-fighting equipment based on the best calculation results.

[0011] In an embodiment of the present invention, calculating the risk of a fire point based on the percentage change of the grid frequency and the percentage change of the grid voltage includes:

[0012] Obtaining a first number M of fire points, where M is a positive integer;

[0013] The risk of a fire point is calculated according to the following formula:

[0014] R j =|F j |+|V j |

[0015] Among them, R j is the risk, j is any number from 1 to M; F j is the percentage change of grid frequency; V j is the percentage of grid voltage change.

[0016] In an embodiment of the present invention, obtaining the benefits of fire extinguishing equipment after going to the fire point to put out the fire based on the risk and the maximum burning time includes:

[0017] Make sure that there is fire-fighting equipment within the preset range of the fire point;

[0018] Determine whether the fire-fighting equipment is going to the fire point to put out the fire;

[0019] When the fire-fighting equipment goes to the fire point to put out the fire, the distance between the fire-fighting equipment and the fire point and the movement speed of the fire-fighting equipment are obtained;

[0020] Determine the movement time of firefighting equipment based on distance and movement speed;

[0021] Obtain the benefits of fire-fighting equipment after going to the fire point to put out the fire based on risk, maximum burning time and movement time.

[0022] In an embodiment of the present invention, obtaining the benefits of fire extinguishing equipment after going to the fire point to put out the fire based on the risk, maximum burning time and movement time includes:

[0023] Obtaining a second number N of fire extinguishing devices, where N is a positive integer;

[0024] The profit is calculated according to the following formula:

[0025]

[0026] Among them, c ij is the profit, i is any number from 1 to N; R j For risk; max is the maximum burning time; t ij It’s time for exercise.

[0027] In an embodiment of the present invention, constructing a total revenue optimization model for firefighting equipment to fight fires based on revenue includes:

[0028] The total revenue optimization model is constructed according to the following formula:

[0029]

[0030]

[0031] Among them, G is the total revenue; x ij The decision variables for fire extinguishing equipment to go to the fire point to put out the fire.

[0032] In an embodiment of the present invention, a genetic algorithm is used to obtain the best calculation result of the total revenue optimization model.

[0033] In an embodiment of the present invention, the fire extinguishing equipment is a fire truck.

[0034] A second aspect of the present invention provides a processor configured to execute the above-mentioned method for deploying fire-fighting equipment for group failures of wildfires on power transmission lines.

[0035] A third aspect of the present invention provides a fire extinguishing equipment deployment system for power transmission line wildfire group failures, and the fire extinguishing equipment deployment system includes the above-mentioned processor.

[0036] A fourth aspect of the present invention provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the above-mentioned method for deploying fire-fighting equipment for group failures of wildfires on power transmission lines.

[0037] Through the above technical scheme, the percentage change of grid frequency and grid voltage after the line where the fire point is located trips is obtained, and the risk of the fire point is calculated; the profit of the fire-fighting equipment after going to the fire point to put out the fire is obtained; based on the profit, a total profit optimization model for the fire-fighting equipment to go to the fire point to put out the fire is constructed, and the fire-fighting deployment route of the fire-fighting equipment is calculated. This can quickly formulate the optimal deployment strategy for the fire-fighting equipment to minimize the power grid loss, which plays an important role in guiding the fire-fighting equipment to implement the optimal power grid wildfire rescue and reduce the power grid loss.

[0038] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0040] Figure 1 It is a schematic diagram of the flow of the method for deploying fire extinguishing equipment in an embodiment of the present invention;

[0041] Figure 2 It is a schematic diagram of fire points and fire-fighting equipment after a wildfire outbreak in an embodiment of the present invention;

[0042] Figure 3 It is a schematic diagram of the fire fighting deployment route of the fire extinguishing equipment in the embodiment of the present invention. DETAILED DESCRIPTION

[0043] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0044] In one embodiment of the present invention, a novel method for deploying fire-fighting equipment for a group of transmission line wildfire failures is provided, such as Figure 1 As shown, the fire extinguishing equipment deployment method includes the following steps:

[0045] Step S101: Obtain the percentage change of the grid frequency and the percentage change of the grid voltage after the line where the fire point is located trips.

[0046] It can be understood that the fire extinguishing equipment deployment method is implemented by a fire extinguishing equipment deployment system, and the fire extinguishing equipment deployment system includes a processor. The location of the fire point in this embodiment is on a mountain with a power grid composed of multiple transmission lines. The mountain is equipped with a fire point detection device (such as a satellite detection device) for detecting whether a mountain fire has occurred and determining the specific number and location of the fire point. The fire point detection device is connected to the processor signal. After the fire point detection device detects the mountain fire and determines the specific location of the fire point, it passes the above information to the processor. The processor obtains the percentage of grid frequency change after the line where the fire point is located trips (that is, the percentage of the local grid frequency falling or rising compared to the normal frequency after the line affected by the fire point trips) and the percentage of grid voltage change (the percentage of the local grid voltage falling or rising compared to the normal voltage after the line affected by the fire point trips). Further, let the number of fire points in this embodiment be the first number M, where M is a positive integer and j is any number from 1 to M; the percentage of grid frequency change after the line where the fire point j is located trips is F j , the percentage change of the grid voltage after the line where the fire point j is located trips is V j .

[0047] Step S102: Calculate the risk of the fire point based on the percentage change of the grid frequency and the percentage change of the grid voltage.

[0048] In one embodiment of the present invention, step S102: calculating the risk of a fire point based on the percentage change of the grid frequency and the percentage change of the grid voltage includes steps S201-S202, wherein:

[0049] Step S201: obtaining a first number M of fire points, where M is a positive integer;

[0050] Step S202: Calculate the risk of the fire point according to the following formula:

[0051] Rj =|F j |+|V j | (1)

[0053] Among them, R j is the risk, j is any number from 1 to M; F j is the percentage change of grid frequency; V j is the percentage change of grid voltage.

[0054] It can be understood that the processor obtains the percentage of grid frequency change F after the line trips. j And the percentage change of grid voltage V j Then calculate the risk R according to formula (1) j , the risk R j It is the sum of the risks of all power lines affected by fire point j. Line risk refers to the number of loads lost in the power grid after the line trips.

[0055] Step S103: Obtain the maximum burning time of the fire point.

[0056] It can be understood that fire-fighting equipment can be used to put out fires at the fire point to reduce the loss of power transmission lines after a wildfire occurs. When there is no fire-fighting equipment to put out the fire at the fire point, the fire point will burn for the longest time, which is the maximum burning time t of the fire point. max , the maximum combustion time t in this embodiment max is a fixed value preset in the processor. Further, the fire extinguishing equipment in this embodiment may preferably be a fire truck.

[0057] Step S104: Obtain the profit of the fire extinguishing equipment after going to the fire point to put out the fire based on the risk and the maximum burning time.

[0058] In one embodiment of the present invention, step S104: obtaining the benefits of fire extinguishing equipment after going to the fire point to put out the fire based on the risk and the maximum burning time further includes steps S301 to S305, wherein:

[0059] Step S301: Determine whether there is fire extinguishing equipment within a preset range of the fire point;

[0060] Step S302: Determine whether the fire extinguishing equipment is going to the fire point to put out the fire;

[0061] Step S303: When the fire extinguishing equipment goes to the fire point to put out the fire, the distance between the fire extinguishing equipment and the fire point and the movement speed of the fire extinguishing equipment are obtained;

[0062] Step S304: Determine the movement time of the fire extinguishing equipment based on the distance and the movement speed.

[0063] It can be understood that the fire extinguishing equipment deployment system in this embodiment also includes a fire extinguishing equipment detection device, which is connected to the processor signal and is used to detect the position and quantity of the fire extinguishing equipment (let the number of fire extinguishing equipment in this embodiment be a second number N, where N is a positive integer and i is any number from 1 to N). After the detection is completed, the fire extinguishing equipment detection device sends the detection result to the processor, so that the processor can determine whether the fire extinguishing equipment is within the preset range of the fire point based on the above detection result and the location of the fire point. If so, it means that there is fire extinguishing equipment within the preset range of the fire point, otherwise there is no fire extinguishing equipment within the preset range of the fire point. When there is fire extinguishing equipment within the preset range of the fire point, the fire extinguishing equipment can go to the fire point to put out the fire, so as to reduce the loss caused by the power transmission line.

[0064] The fire-fighting equipment deployment system also includes a road condition detection device, which is connected to the processor signal and is used to detect the real-time road conditions between the fire-fighting equipment and the fire point, and sends the above information to the processor after the detection is completed. The processor determines the distance between the fire-fighting equipment and the fire point when determining that the fire-fighting equipment is going to the fire point to put out the fire, and determines the movement speed of the fire-fighting equipment based on the real-time road condition information (in order to minimize the burning time of the fire point, the movement speed of the fire-fighting equipment at this time is the maximum movement speed that the fire-fighting equipment can reach under the above-mentioned real-time road conditions). After obtaining the distance between the fire-fighting equipment and the fire point and the movement speed of the fire-fighting equipment, the processor calculates the movement time of the fire-fighting equipment according to the following formula:

[0065]

[0066] Among them, t ij is the movement time of fire-fighting equipment i to fire point j; L ij is the distance between fire extinguishing equipment i and fire point j; V i The movement speed of the fire-fighting equipment.

[0067] Step S305: Obtain the profit of the fire-fighting equipment after going to the fire point to put out the fire based on the risk, maximum burning time and movement time.

[0068] In one embodiment of the present invention, step S305: obtaining the benefits of fire extinguishing equipment after going to the fire point to put out the fire based on the risk, maximum burning time and movement time further includes steps S401-S402, wherein:

[0069] Step S401: Obtain a second number N of fire extinguishing devices, where N is a positive integer;

[0070] Step S402: Calculate the revenue according to the following formula:

[0071]

[0072] Among them, c ijis the profit, i is any number from 1 to N; R j For risk; max is the maximum burning time; t ij It’s time for exercise.

[0073] It is understandable that the processor obtains the risk R j , the maximum burning time of the fire point t max (The maximum burning time here is t max Specifically refers to the maximum burning time of fire point j) and the movement time t of fire extinguishing equipment i to fire point j ij Later, according to formula (3), the profit c generated by firefighting equipment i at fire point j can be calculated: ij In addition, if there is no fire-fighting equipment to put out the fire, then ij =t max .

[0074] Step S105: constructing a total revenue optimization model for firefighting equipment to put out fires based on revenue.

[0075] In one embodiment of the present invention, step S105: constructing a total revenue optimization model for firefighting equipment to fight fires based on revenue also includes:

[0076] The total revenue optimization model is constructed according to the following formula:

[0077]

[0078]

[0079] x ij =0,1; i=1,2,…,N; j=1,2,…,M (4)

[0080] Among them, G is the total revenue; x ij The decision variables for fire extinguishing equipment to go to the fire point to put out the fire.

[0081] It can be understood that minimizing the total loss of the power grid is equivalent to maximizing the total benefit of all firefighting equipment rescue. Therefore, the objective function in the total benefit optimization model is to maximize the total benefit (that is, to obtain maxG); the decision variable x ij =1 means that fire extinguishing equipment i goes to fire point j to put out the fire, and the decision variable x ij = 0 means that fire extinguishing equipment i does not go to fire point j to put out the fire; It means that there is at most one fire-fighting equipment to put out a fire. This means that one fire-fighting equipment can only go to one fire point to put out the fire (or not go to any fire point to put out the fire). This optimization model takes into account the relative positions of the fire points and fire-fighting equipment and the overall optimization of the fire-fighting equipment path under the situation of multiple fire points. The mathematical modeling is clear and has high practical value.

[0082] Step S106: Obtain the best calculation result of the total benefit optimization model, and determine the firefighting deployment route of the fire-fighting equipment based on the best calculation result.

[0083] It can be understood that the total benefit optimization model in this embodiment is a 0-1 integer linear programming model, and it is suitable to use a genetic algorithm (Genetic Algorithm (GA) is a computational model of the biological evolution process that simulates the natural selection and genetic mechanism of Darwin's theory of biological evolution. It is a method of searching for the optimal solution by simulating the natural evolution process. The algorithm uses mathematical methods and computer simulation operations to convert the problem-solving process into processes similar to the crossover and mutation of chromosome genes in biological evolution.) to obtain the best calculation result of the total benefit optimization model. Compared with other algorithms, this algorithm can usually obtain better optimization results faster when solving more complex combinatorial optimization problems than some conventional optimization algorithms.

[0084] For example, Figure 2 As shown in the figure, the horizontal and vertical axes represent the longitude and latitude respectively, the 6 triangles represent the fire points in 6 different positions, the value under each fire point represents the corresponding risk value, and the 3 squares represent the fire-fighting equipment, and the movement speed of each fire-fighting equipment is 100km / h.

[0085] According to the above conditions, the total benefit optimization model is constructed and the results after solving it using genetic algorithm (i.e. the firefighting deployment route of firefighting equipment) are as follows: Figure 3 As shown, the dotted line connecting the square and the triangle represents that the fire-fighting equipment goes to the fire point connected thereto to put out the fire.

[0086] Another embodiment of the present invention provides a processor configured to execute the above-mentioned method for deploying fire-fighting equipment for group failures of wildfires on power transmission lines.

[0087] Another embodiment of the present invention provides a fire-fighting equipment deployment system for power transmission line wildfire group failures, and the fire-fighting equipment deployment system includes the above-mentioned processor.

[0088] It can be understood that the fire extinguishing equipment deployment system includes a processor and a fire point detection device (such as a satellite detection device) for detecting whether a wildfire occurs and determining the specific number and location of the fire points. The fire point detection device is connected to the processor by signal. After the fire point detection device detects the wildfire and determines the specific location of the fire point, it transmits the above information to the processor;

[0089] The fire extinguishing equipment deployment system also includes a fire extinguishing equipment detection device, which is connected to the processor signal and is used to detect the position and quantity of the fire extinguishing equipment. After the detection is completed, the fire extinguishing equipment detection device sends the detection result to the processor. The fire extinguishing equipment in this embodiment is preferably a fire truck;

[0090] The fire-fighting equipment deployment system also includes a road condition detection device, which is connected to the processor signal and is used to detect the real-time road condition between the fire-fighting equipment and the fire point, and sends the above information to the processor after the detection is completed.

[0091] Another embodiment of the present invention provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the above-mentioned method for deploying fire-fighting equipment for group failures of wildfires on power transmission lines.

[0092] The present invention provides a method for deploying fire-fighting equipment for group wildfire failures of power transmission lines, a processor, a fire-fighting equipment deployment system and a machine-readable storage medium. The method obtains the percentage change in grid frequency and grid voltage after the line where the fire point is located trips and calculates the risk of the fire point; obtains the profit of the fire-fighting equipment after going to the fire point to put out the fire; and constructs a total profit optimization model for the fire-fighting equipment to go to the fire point to put out the fire based on the profit and calculates the fire-fighting deployment route of the fire-fighting equipment. The method can quickly formulate the optimal deployment strategy for the fire-fighting equipment and minimize the power grid loss. The method plays an important role in guiding the fire-fighting equipment to implement the optimal power grid wildfire rescue and reduce the power grid loss.

[0093] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0094] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0095] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0097] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0098] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0099] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0100] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0101] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for deploying fire-fighting equipment for power transmission line wildfire group failure, characterized in that: The fire extinguishing equipment deployment method comprises: Obtain the percentage change of the grid frequency and the percentage change of the grid voltage after the line where the fire point is located trips; Calculating the risk of the fire point based on the grid frequency change percentage and the grid voltage change percentage; Obtaining the maximum burning time of the fire point; Determining that the fire extinguishing equipment exists within a preset range of the fire point; Determine whether the fire extinguishing equipment is going to the fire point to put out the fire; When the fire extinguishing equipment goes to the fire point to put out the fire, obtaining the distance between the fire extinguishing equipment and the fire point and the moving speed of the fire extinguishing equipment; Determining a movement time of the fire extinguishing equipment based on the distance and the movement speed; Obtaining a second number N of the fire extinguishing devices, wherein N is a positive integer; The profit is calculated according to the following formula: Among them, the is the income, i is any number from 1 to N; for the risks described; is the maximum burning time; is the movement time; Based on the revenue, a total revenue optimization model for the fire-fighting equipment to put out the fire at the fire point is constructed; The optimal calculation result of the total benefit optimization model is obtained, and the firefighting deployment route of the fire-fighting equipment is determined based on the optimal calculation result.

2. The method for deploying fire extinguishing equipment according to claim 1, characterized in that: The calculating the risk of the fire point based on the grid frequency change percentage and the grid voltage change percentage comprises: Obtaining a first number M of the fire points, where M is a positive integer; The risk of the fire point is calculated according to the following formula: in, is the risk, j is any number from 1 to M; is the percentage change of the power grid frequency; is the percentage change of the grid voltage.

3. The method for deploying fire extinguishing equipment according to claim 1, characterized in that: The total benefit optimization model of constructing the fire-fighting equipment to put out the fire at the fire point based on the benefit includes: The total revenue optimization model is constructed according to the following formula: Wherein, G is the total revenue; It is the decision variable for the fire-fighting equipment to go to the fire point to put out the fire.

4. The method for deploying fire extinguishing equipment according to claim 1, characterized in that: A genetic algorithm is used to obtain the best calculation result of the total revenue optimization model.

5. The method for deploying fire extinguishing equipment according to claim 1, characterized in that: The fire-fighting equipment is a fire truck.

6. A processor, characterized in that: The method is configured to execute the method for deploying fire-fighting equipment for group failure of wildfires on power transmission lines according to any one of claims 1 to 5.

7. A fire-fighting equipment deployment system for power transmission line wildfire group failure, characterized in that: The fire extinguishing equipment deployment system comprises the processor according to claim 6.

8. A machine-readable storage medium having instructions stored thereon, characterized in that: The instruction is used to enable the machine to execute the fire-fighting equipment deployment method for power transmission line wildfire group failure according to any one of claims 1 to 5.

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