Power transmission line forest fire risk assessment method and device based on meteorological radar networking, electronic equipment and storage medium

Abstract

The invention discloses a power transmission line forest fire risk assessment method and device based on meteorological radar networking, electronic equipment and a storage medium. The method comprises the following steps: acquiring position information, voltage levels and initial forest fire areas of target power transmission towers, and position information and echo data of target meteorological radar stations; and under the condition that the number of the target meteorological radar stations is not less than two, calculating the distance weight of each radar station according to the position information of the fire line of the mountain fire and the positions of the meteorological radar stations. And calculating the mountain fire correction distance of each transmission tower by combining the position information of each transmission tower, the distance weight of the radar station and the echo data. And generating a first forest fire area according to the position of the first target meteorological radar station closest to the initial forest fire area and the echo data. And based on the mountain fire correction distance, the first mountain fire area and the voltage grade of each target transmission tower, determining a risk alarm grade of each transmission tower. According to the invention, the accuracy of mountain fire risk assessment can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring of power grid disasters, and particularly to a method, device, electronic device and storage medium for evaluating the wildfire risk of transmission lines based on a meteorological radar network. Background Art

[0002] The safe operation of transmission lines is crucial for the stability of power supply. When a wildfire occurs near a transmission corridor, the high temperature of the flame and conductive particles may cause a decrease in insulation strength, leading to line tripping or large-scale power outages, seriously threatening the safety of the power grid. Therefore, quickly and accurately monitoring and evaluating the threat of wildfires to transmission lines is an important direction for improving the wildfire protection ability of the power grid. Meteorological radar has significant potential in wildfire monitoring due to its advantages of wide-area coverage, high resolution, and insensitivity to cloud interference. Especially through radar networking technology, cross-regional collaborative monitoring and comprehensive analysis can be achieved, providing a solid foundation for the comprehensive assessment of the wildfire risk of transmission lines. However, the monitoring based on a single radar has defects such as limited coverage and isolated information, and there is an urgent need for a technical means to make full use of the data of networked radars and accurately evaluate the threat of wildfires.

[0003] The current radar network wildfire monitoring methods still have obvious deficiencies in data processing and risk assessment. First, the existing methods mostly use the distance between the fire point and the transmission tower as the sole criterion for judgment, ignoring the key impact of the wildfire area on the threat of the fire situation, and it is difficult to comprehensively reflect the real risk of the fire. Second, there is a problem of confidence difference in the monitoring data of the networked radars for the same fire scene due to the different relative distances between the radars and the fire scene, but the existing technologies have not effectively distinguished and integrated these data, which is prone to false alarms or missed alarms. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, electronic device and storage medium for evaluating the wildfire risk of transmission lines based on a meteorological radar network. By implementing the present invention, the accuracy of wildfire risk assessment can be improved.

[0005] An embodiment of the present invention provides a method for evaluating the wildfire risk of transmission lines based on a meteorological radar network, including:

[0006] Obtaining the position information of each target transmission tower, the voltage level of each target transmission tower, the initial wildfire area, the position information of the target meteorological radar station, and the echo data of the target meteorological radar station; wherein, the target transmission tower is a transmission tower located within a preset range centered on the initial wildfire area; the target meteorological radar station is a meteorological radar station whose monitoring range covers the initial wildfire area;

[0007] When the number of target meteorological radar stations is not less than two, calculate the distance weights of each target meteorological radar station according to the preset position information of the wildfire front line and the position information of each target meteorological radar station;

[0008] Calculate the wildfire correction distance of each target transmission tower according to the position information of each target transmission tower, the distance weights of each target meteorological radar station, and the echo data of each target meteorological radar station;

[0009] Generate the first wildfire area according to the position information of the first target meteorological radar station closest to the initial wildfire area and the echo data of the first target meteorological radar station;

[0010] Determine the risk warning level of each target transmission tower according to the wildfire correction distance of each target transmission tower, the first wildfire area, and the voltage level of each target transmission tower.

[0011] Further, the transmission line wildfire risk assessment method based on meteorological radar networking further includes:

[0012] When the number of target meteorological radar stations is 1, calculate the wildfire distance of each target transmission tower according to the position information of each target transmission tower and the echo data of the target meteorological radar station;

[0013] Generate the second wildfire area according to the position information of the target meteorological radar station and the echo data of the target meteorological radar station;

[0014] Generate the risk warning level of the target transmission tower according to the wildfire distance, the first wildfire area, and the voltage level of the target transmission tower.

[0015] Further, determine the initial wildfire area through the following method:

[0016] Obtain the echo data of each initial meteorological radar station; wherein, the initial meteorological radar station is a meteorological radar station whose monitoring range covers the wildfire monitoring area; wherein, the wildfire monitoring area is larger than the initial wildfire area;

[0017] Perform a continuity analysis on the wildfire monitoring area according to the echo data of each initial meteorological radar station to generate a number of echo blocks; wherein, an echo block is a continuous area composed of a number of echo units;

[0018] Extract the echo reflectivity of each echo unit according to the echo data of each initial meteorological radar station;

[0019] Calculate the maximum echo reflectivity and the average echo reflectivity of each echo block according to the echo reflectivity of each echo unit;

[0020] Determine whether there is a wildfire echo block according to the preset maximum echo reflectivity threshold, average echo reflectivity threshold, maximum echo reflectivity of each echo block, and average echo reflectivity of each echo block;

[0021] In the case of the existence of a wildfire echo block, use any wildfire echo block as the initial wildfire area; otherwise, determine that there is no wildfire risk for the transmission line.

[0022] Further, when the number of target weather radar stations is not less than two, calculate the distance weights of each target weather radar station according to the preset wildfire fire line position information and the position information of each target weather radar station, including:

[0023] Calculate the distances between each target weather radar station and the preset wildfire fire line according to the position information of each target weather radar station, and generate the fire line distances of each target weather radar station;

[0024] Calculate the distance weights of each target weather radar station according to the fire line distances of each target weather radar station.

[0025] Further, the calculating the wildfire correction distance of each target transmission tower according to the position information of each target transmission tower, the distance weights of each target weather radar station, and the echo data of each target weather radar station includes:

[0026] Generate the theoretical wildfire areas corresponding to each target weather radar station according to the echo data of each target weather radar station;

[0027] For each target transmission tower, calculate the shortest distances from each theoretical wildfire area to the current target transmission tower according to the position information of the current target transmission tower and each theoretical wildfire area; calculate and generate the wildfire correction distance of the current target transmission tower according to the shortest distances from each theoretical wildfire area to the current target transmission tower and the distance weights of each target weather radar station.

[0028] Further, the generating the first wildfire area according to the position information of the first target weather radar station closest to the initial wildfire area and the echo data of the first target weather radar station includes:

[0029] Generate the first theoretical wildfire area corresponding to the first target weather radar station according to the echo data of the first target weather radar station;

[0030] Extract the position information of each echo unit in the first theoretical wildfire area according to the first theoretical wildfire area;

[0031] Generate the first wildfire area according to the position information of each echo unit in the first theoretical wildfire area and the position information of the first target weather radar station.

[0032] Further, determining the risk warning levels of the target transmission towers according to the fire-corrected distances of the target transmission towers, the first fire area, and the voltage levels of the target transmission towers includes:

[0033] Generating a distance factor for each target transmission tower according to the fire-corrected distance of each target transmission tower and a preset distance threshold;

[0034] Generating an area factor according to the first fire area and a preset area threshold;

[0035] Generating a voltage level factor for each target transmission tower according to the voltage level of each target transmission tower and a preset voltage level threshold;

[0036] For each target transmission tower, generating a comprehensive risk value of the current target transmission tower according to the corresponding distance factor, the corresponding voltage level factor, and the area factor; determining the risk warning level of the current target transmission tower according to the comprehensive risk value of the current target transmission tower and a preset level division standard.

[0037] Based on the above method embodiment, the present invention correspondingly provides an apparatus embodiment.

[0038] An embodiment of the present invention provides a transmission line wildfire risk assessment apparatus based on a meteorological radar network, including: a data acquisition module, a distance weight generation module, a fire-corrected distance generation module, a first fire area generation module, and a risk warning level determination module;

[0039] The data acquisition module is configured to acquire the position information of each target transmission tower, the voltage level of each target transmission tower, the initial wildfire area, the position information of the target meteorological radar station, and the echo data of the target meteorological radar station; wherein, the target transmission tower is a transmission tower located within a preset range centered on the initial wildfire area; the target meteorological radar station is a meteorological radar station whose monitoring range covers the initial wildfire area;

[0040] The distance weight generation module is configured to calculate the distance weight of each target meteorological radar station according to the preset wildfire front position information and the position information of each target meteorological radar station when the number of target meteorological radar stations is not less than two;

[0041] The fire-corrected distance generation module is configured to calculate the fire-corrected distance of each target transmission tower according to the position information of each target transmission tower, the distance weight of each target meteorological radar station, and the echo data of each target meteorological radar station;

[0042] The first wildfire area generation module is configured to generate a first wildfire area according to the position information of the first target weather radar station closest to the initial wildfire area and the echo data of the first target weather radar station;

[0043] The risk warning level determination module is configured to determine the risk warning levels of the respective target transmission towers according to the wildfire correction distances of the respective target transmission towers, the first wildfire area, and the voltage levels of the respective target transmission towers.

[0044] Based on the above method item embodiments, the present invention correspondingly provides electronic device item embodiments.

[0045] An embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for evaluating the wildfire risk of a transmission line based on a weather radar network as described in any one of the above method item embodiments can be implemented.

[0046] Based on the above method item embodiments, the present invention correspondingly provides storage medium item embodiments.

[0047] An embodiment of the present invention provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for evaluating the wildfire risk of a transmission line based on a weather radar network as described in any one of the above method item embodiments can be implemented.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] An embodiment of the present invention provides a method, device, electronic device, and storage medium for evaluating the wildfire risk of a transmission line based on a weather radar network. The method obtains the position information, voltage level, initial wildfire area, and the position information and echo data of the weather radar station covering the area of the target transmission tower, comprehensively calculates the radar station distance weight and the wildfire correction distance, and combines the first wildfire area and the voltage level of the transmission tower to finally determine the risk warning levels of the respective target transmission towers, realizing the accurate evaluation and early warning of the wildfire threat.

[0050] The present invention effectively solves the problem of the difference in the confidence level of monitoring data caused by the different relative distances between the radar and the fire site by obtaining the echo data of the target weather radar station and calculating the distance weight. At the same time, by combining the wildfire correction distances, wildfire areas, and voltage levels of the respective target transmission towers, a comprehensive risk assessment method is proposed, overcoming the problem of the single judgment deficiency of the prior art that only relies on the distance between the fire point and the tower, and improving the accuracy of the wildfire risk assessment. Description of the Drawings

[0051] Figure 1It is a schematic flow chart of a method for evaluating the risk of wildfires on transmission lines based on a network of meteorological radars provided by an embodiment of the present invention.

[0052] Figure 2 It is a schematic grid diagram of the polar coordinates of the wildfire area provided by an embodiment of the present invention.

[0053] Figure 3 It is a schematic diagram for calculating the distance between a wildfire and a line provided by an embodiment of the present invention.

[0054] Figure 4 It is a schematic structural diagram of a device for evaluating the risk of wildfires on transmission lines based on a network of meteorological radars provided by an embodiment of the present invention. Detailed implementation manners

[0055] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0056] As Figure 1 shown, an embodiment of the present invention provides a method for evaluating the risk of wildfires on transmission lines based on a network of meteorological radars, which at least includes the following steps:

[0057] Step S1: Obtain the position information of each target transmission tower, the voltage level of each target transmission tower, the initial wildfire area, the position information of the target meteorological radar station, and the echo data of the target meteorological radar station;

[0058] In a preferred embodiment, the initial wildfire area is determined by the following method:

[0059] Obtain the echo data of each initial meteorological radar station; wherein, the initial meteorological radar station is a meteorological radar station whose monitoring range covers the wildfire monitoring area; wherein, the wildfire monitoring area is larger than the initial wildfire area;

[0060] According to the echo data of each initial meteorological radar station, perform a continuity analysis on the wildfire monitoring area to generate a number of echo blocks; wherein, an echo block is a continuous area composed of a number of echo units;

[0061] According to the echo data of each initial meteorological radar station, extract the echo reflectivity of each echo unit;

[0062] According to the echo reflectivity of each echo unit, calculate the maximum echo reflectivity and the average echo reflectivity of each echo block;

[0063] Determine whether there is a wildfire echo block according to the preset maximum echo reflectivity threshold, average echo reflectivity threshold, maximum echo reflectivity of each echo block, and average echo reflectivity of each echo block;

[0064] In the case where there is a wildfire echo block, any wildfire echo block is used as the initial wildfire area; otherwise, it is determined that there is no wildfire risk on the transmission line.

[0065] It should be noted here that the echo reflectivity is an important characteristic parameter for meteorological radar to detect the location and area of wildfires. Statistics show that when a wildfire occurs, the characteristic echoes of the wildfire have the following two characteristics: the maximum echo reflectivity of any echo block is less than 50 dBZ or the average echo reflectivity is less than 40 dBZ. The calculation formulas for the maximum echo emissivity and the average echo reflectivity are shown as follows:

[0066] Z m =maxZ i ,i = 1, 2,..., n

[0067] Among them, Z m is the maximum echo emissivity; Z i is the echo reflectivity of the i-th echo unit; n is the number of echo units.

[0068]

[0069] Among them, Z a is the average echo reflectivity.

[0070] The radar echo map is as Figure 2 shown. Each fan-shaped grid is an independent echo unit, and a continuous area composed of multiple echo units is called an echo block. Read all the radar echo data. As long as one of the two indicators of the characteristic echo is lower than the corresponding threshold, it can be determined that there is a wildfire in the echo block, which is called a wildfire echo block. Based on this method of judging wildfires, most wildfire situations can be covered.

[0071] Step S2: When the number of target meteorological radar stations is not less than two, calculate the distance weights of each target meteorological radar station according to the preset wildfire fire line position information and the position information of each target meteorological radar station;

[0072] In a preferred embodiment, the calculating the distance weights of each target meteorological radar station according to the preset wildfire fire line position information and the position information of each target meteorological radar station when the number of target meteorological radar stations is not less than two includes:

[0073] According to the position information of each target meteorological radar station, calculate the distance between each target meteorological radar station and the preset wildfire fire line, and generate the fire line distance of each target meteorological radar station;

[0074] Calculate the distance weights of each target meteorological radar station according to the fire line distances of each target meteorological radar station.

[0075] Specifically, calculate the distance weights of each target meteorological radar station through the following formula:

[0076]

[0077] Among them, B a is the distance weight of the target meteorological radar station O a , where a ∈ [1, n]; b a is the fire line distance of the target meteorological radar station O a , where a ∈ [1, n]; b i is the fire line distance of the target meteorological radar station O i ; n is the number of target meteorological radar stations.

[0078] In one embodiment, as Figure 3 shown, the wildfire fire line is a wildfire warning line delimited by a five-kilometer boundary on both sides of the transmission line as shown by the dotted line AB.

[0079] Step S3: Calculate the wildfire correction distances of each target transmission tower according to the position information of each target transmission tower, the distance weights of each target meteorological radar station, and the echo data of each target meteorological radar station;

[0080] In a preferred embodiment, the calculating the wildfire correction distances of each target transmission tower according to the position information of each target transmission tower, the distance weights of each target meteorological radar station, and the echo data of each target meteorological radar station includes:

[0081] Generate corresponding theoretical wildfire areas for each target meteorological radar station according to the echo data of each target meteorological radar station;

[0082] For each target transmission tower, calculate the shortest distance from each theoretical wildfire area to the current target transmission tower according to the position information of the current target transmission tower and each theoretical wildfire area; calculate and generate the wildfire correction distance of the current target transmission tower according to the shortest distance from each theoretical wildfire area to the current target transmission tower and the distance weights of each target meteorological radar station.

[0083] It should be explained here that since the wildfire area is calculated and generated according to the echo data of the meteorological radar station, theoretically, corresponding wildfire areas will be calculated according to the echo data of different meteorological radar stations. Therefore, the wildfire areas calculated and generated from the echo data of each target meteorological radar station are recorded as the corresponding theoretical wildfire areas; as Figure 3As shown, the shortest distance from each theoretical wildfire area to the current target transmission tower is to select a point in the theoretical wildfire area such that the distance from this point to the current target transmission tower is the shortest, and take the distance between this point and the current target transmission tower as the shortest distance from the theoretical wildfire area to the current target transmission tower.

[0084] Specifically, the wildfire correction distance of the target transmission tower is calculated by the following formula:

[0085]

[0086] Where, D x is the wildfire correction distance of the target transmission tower T x , x ∈ [1, m]; d ixmin is the shortest distance from the corresponding theoretical wildfire area of the target meteorological radar station O i to the target transmission tower T x , x ∈ [1, m]; m is the number of target transmission towers.

[0087] Step S4: Generate the first wildfire area according to the position information of the first target meteorological radar station closest to the initial wildfire area and the echo data of the first target meteorological radar station;

[0088] In a preferred embodiment, the generating the first wildfire area according to the position information of the first target meteorological radar station closest to the initial wildfire area and the echo data of the first target meteorological radar station includes:

[0089] Generate the first theoretical wildfire area corresponding to the first target meteorological radar station according to the echo data of the first target meteorological radar station;

[0090] Extract the position information of each echo unit in the first theoretical wildfire area according to the first theoretical wildfire area;

[0091] Generate the first wildfire area according to the position information of each echo unit in the first theoretical wildfire area and the position information of the first target meteorological radar station.

[0092] Specifically, the first wildfire area is generated by the following formula:

[0093]

[0094] Where, s is the first wildfire area; r x is the distance from the x-th echo unit in the first theoretical wildfire area to the first target meteorological radar station; k is the number of echo units in the first theoretical wildfire area.

[0095] Step S5: Determine the risk warning levels of the target transmission towers according to the fire-corrected distances of the target transmission towers, the first fire area, and the voltage levels of the target transmission towers.

[0096] In a preferred embodiment, the determining the risk warning levels of the target transmission towers according to the fire-corrected distances of the target transmission towers, the first fire area, and the voltage levels of the target transmission towers includes:

[0097] Generate distance factors for the target transmission towers according to the fire-corrected distances of the target transmission towers and a preset distance threshold;

[0098] Generate an area factor according to the first fire area and a preset area threshold;

[0099] Generate voltage level factors for the target transmission towers according to the voltage levels of the target transmission towers and a preset voltage level threshold;

[0100] For each target transmission tower, generate a comprehensive risk value for the current target transmission tower according to the corresponding distance factor, the corresponding voltage level factor, and the area factor; determine the risk warning level of the current target transmission tower according to the comprehensive risk value of the current target transmission tower and a preset level division standard.

[0101] Specifically, the distance factors of the target transmission towers are obtained by binning according to intervals through the following formula:

[0102]

[0103] where Distance i is the distance factor of the target transmission tower T i , i ∈ [1, m]; D x is in meters;

[0104] The area factor is obtained by binning according to intervals through the following formula:

[0105]

[0106] where S is the area factor; s is in square kilometers;

[0107] The voltage level factors of the target transmission towers are obtained by binning according to intervals through the following formula:

[0108]

[0109] where U i is the voltage level factor of the target transmission tower T i , i ∈ [1, m]; U xis the target transmission tower T x , the voltage level of x ∈ [1, m], unit is kV.

[0110] Optionally, the comprehensive risk value of the target transmission tower is calculated by the following formula:

[0111] R isk = w 1 Distance i ×(w 2 S + w 3 Voltage i )

[0112] where, R isk is the comprehensive risk value of the target transmission tower T i , i ∈ [1, m]; w 1 is the weight of the distance factor; w 2 is the weight of the area factor; w 3 is the weight of the voltage level factor;

[0113] It should be noted here that in one embodiment, the source of the distance factor is the actually discovered potential fire point, which is the most direct reflection of the wildfire risk. Therefore, the weight w 1 = 1. The wildfire area factor is the most important indirect factor causing line faults. Therefore, w 2 = 0.8. The voltage level factor is the second, taking w 3 = 0.6. According to the possible values of the three factors, there are 38 possible values for the comprehensive risk value. The larger the comprehensive risk value, the higher its comprehensive risk level.

[0114] In a preferred embodiment, the comprehensive risk value is binned by interval to obtain the corresponding three comprehensive risk levels of low, medium and high, as shown in the following table:

[0115] Risk warning level Low risk level Medium risk level High risk level <![CDATA[Comprehensive risk value R isk > [0,2.4] (2.4,5.4] (5.4,12.6]

[0116] In a preferred embodiment, the method for evaluating the wildfire risk of transmission lines based on meteorological radar networking further includes:

[0117] When the number of target meteorological radar stations is 1, according to the position information of each target transmission tower and the echo data of the target meteorological radar station, calculate the wildfire distance of each target transmission tower;

[0118] Generate the second wildfire area according to the position information of the target meteorological radar station and the echo data of the target meteorological radar station;

[0119] Generate the risk warning level of the target transmission tower according to the wildfire distance, the first wildfire area and the voltage level of the target transmission tower.

[0120] Based on the above method item embodiments, the present invention correspondingly provides apparatus item embodiments.

[0121] As Figure 4 shown, an embodiment of the present invention provides a transmission line wildfire risk assessment apparatus based on meteorological radar networking, including: a data acquisition module, a distance weight generation module, a wildfire corrected distance generation module, a first wildfire area generation module, and a risk warning level determination module;

[0122] The data acquisition module is configured to acquire the position information of each target transmission tower, the voltage level of each target transmission tower, the initial wildfire area, the position information of the target meteorological radar station, and the echo data of the target meteorological radar station; wherein, the target transmission tower is a transmission tower located within a preset range centered on the initial wildfire area; the target meteorological radar station is a meteorological radar station whose monitoring range covers the initial wildfire area;

[0123] The distance weight generation module is configured to calculate the distance weights of each target meteorological radar station according to the preset wildfire fire line position information and the position information of each target meteorological radar station when the number of target meteorological radar stations is not less than two;

[0124] The wildfire corrected distance generation module is configured to calculate the wildfire corrected distance of each target transmission tower according to the position information of each target transmission tower, the distance weights of each target meteorological radar station, and the echo data of each target meteorological radar station;

[0125] The first wildfire area generation module is configured to generate a first wildfire area according to the position information of the first target meteorological radar station closest to the initial wildfire area and the echo data of the first target meteorological radar station;

[0126] The risk warning level determination module is configured to determine the risk warning level of each target transmission tower according to the wildfire corrected distance of each target transmission tower, the first wildfire area, and the voltage level of each target transmission tower.

[0127] It should be noted that the embodiments of the devices described above correspond to the above embodiments of the present invention, and can implement the method for evaluating the risk of wildfires on transmission lines based on meteorological radar networking described in any one of the above of the present invention. In addition, the embodiments of the above devices are merely illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that they have a communication connection, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement without creative efforts.

[0128] Based on the above method embodiments of the present invention, an embodiment of an electronic device is correspondingly provided.

[0129] An embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the method for evaluating the risk of wildfires on transmission lines based on meteorological radar networking described in any one of the present invention is implemented, or when the processor executes the computer program, the functions of each module in the above device embodiments are implemented.

[0130] Exemplarily, the computer program can be divided into one or more modules, and the one or more modules are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0131] The terminal device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0132] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device through various interfaces and lines.

[0133] The memory can be used to store the computer program and / or module. The processor realizes various functions of the terminal device by running or executing the computer program and / or module stored in the memory, and by calling the data stored in the memory. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, at least one magnetic disk storage device, flash device, or other volatile solid-state storage devices.

[0134] Based on the above method item embodiments, the present invention correspondingly provides storage medium item embodiments;

[0135] Another embodiment of the present invention provides a storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the storage medium is located to execute any one of the above-mentioned power transmission line wildfire risk assessment methods based on meteorological radar networking of the present invention.

[0136] Among them, the above storage medium is a computer-readable storage medium, and the computer program includes computer program code, which can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0137] In the description of this specification, the description referring to terms such as "one embodiment", "some embodiments", "example", "specific example" or "some examples", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0138] The above is the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art in the technical field of the present invention, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A method for assessing forest fire risk of power transmission lines based on weather radar networking, characterized in that: include: Obtaining the location information of each target transmission tower, the voltage level of each target transmission tower, the initial wildfire area, the location information of the target weather radar station, and the echo data of the target weather radar station; wherein the target transmission tower is a transmission tower located within a preset range centered on the initial wildfire area; the target weather radar station is a weather radar station whose monitoring range covers the initial wildfire area; When the number of target weather radar stations is not less than two, the distance weight of each target weather radar station is calculated according to the preset wildfire fire line location information and the location information of each target weather radar station; Calculate the fire-corrected distance of each target transmission tower based on the location information of each target transmission tower, the distance weight of each target weather radar station, and the echo data of each target weather radar station; Generate a first wildfire area according to the location information of the first target weather radar station closest to the initial wildfire area and the echo data of the first target weather radar station; The risk warning level of each target transmission tower is determined according to the corrected wildfire distance of each target transmission tower, the first wildfire area, and the voltage level of each target transmission tower.

2. The method for assessing forest fire risk of power transmission lines based on weather radar networking according to claim 1, characterized in that: Also includes: When the number of target weather radar stations is 1, the wildfire distance of each target transmission tower is calculated based on the location information of each target transmission tower and the echo data of the target weather radar station; Generate a second wildfire area according to the location information of the target weather radar station and the echo data of the target weather radar station; A risk warning level of the target transmission tower is generated according to the wildfire distance, the first wildfire area, and the voltage level of the target transmission tower.

3. The method for assessing forest fire risk of power transmission lines based on weather radar networking according to claim 2, characterized in that: The initial wildfire area is determined by: Acquire echo data of each initial meteorological radar station; wherein the initial meteorological radar station is a meteorological radar station whose monitoring range covers a wildfire monitoring area; wherein the wildfire monitoring area is larger than the initial wildfire area; According to the echo data of each initial meteorological radar station, the continuity analysis of the wildfire monitoring area is performed to generate a number of echo blocks; wherein the echo block is a continuous area composed of a number of echo units; Extract the echo reflectivity of each echo unit according to the echo data of each initial meteorological radar station; Calculating the maximum echo reflectivity and the average echo reflectivity of each echo block according to the echo reflectivity of each echo unit; Determine whether there is a wildfire echo block according to a preset maximum echo reflectivity threshold, an average echo reflectivity threshold, a maximum echo reflectivity of each echo block, and an average echo reflectivity of each echo block; In the case of wildfire echo blocks, any wildfire echo block is used as the initial wildfire area; otherwise, it is determined that the transmission line has no wildfire risk.

4. The method for assessing forest fire risk of power transmission lines based on weather radar networking as claimed in claim 3, characterized in that: When the number of target weather radar stations is not less than two, the distance weight of each target weather radar station is calculated according to the preset wildfire fire line location information and the location information of each target weather radar station, including: According to the location information of each target weather radar station, the distance between each target weather radar station and the preset wildfire fire line is calculated to generate the fire line distance of each target weather radar station; According to the fire line distance of each target meteorological radar station, the distance weight of each target meteorological radar station is calculated.

5. The method for assessing forest fire risk of power transmission lines based on weather radar networking according to claim 4, characterized in that: The method of calculating the wildfire corrected distance of each target transmission tower according to the location information of each target transmission tower, the distance weight of each target weather radar station and the echo data of each target weather radar station includes: Generate theoretical wildfire areas corresponding to each target weather radar station based on the echo data of each target weather radar station; For each target transmission tower, based on the location information of the current target transmission tower and each theoretical wildfire area, the shortest distance from each theoretical wildfire area to the current target transmission tower is calculated; based on the shortest distance from each theoretical wildfire area to the current target transmission tower and the distance weight of each target meteorological radar station, the wildfire corrected distance of the current target transmission tower is calculated.

6. The method for assessing forest fire risk of power transmission lines based on weather radar networking as claimed in claim 5, characterized in that: The method of generating a first wildfire area according to the location information of the first target weather radar station closest to the initial wildfire area and the echo data of the first target weather radar station includes: Generate a first theoretical wildfire area corresponding to the first target weather radar station according to the echo data of the first target weather radar station; Extracting position information of each echo unit in the first theoretical wildfire area according to the first theoretical wildfire area; A first wildfire area is generated according to the position information of each echo unit in the first theoretical wildfire area and the position information of the first target meteorological radar station.

7. The method for assessing forest fire risk of power transmission lines based on weather radar networking according to claim 6, characterized in that: The step of determining the risk warning level of each target transmission tower according to the wildfire correction distance of each target transmission tower, the first wildfire area, and the voltage level of each target transmission tower includes: Generate a distance factor for each target transmission tower according to the wildfire-corrected distance of each target transmission tower and a preset distance threshold; Generate an area factor according to the first wildfire area and a preset area threshold; Generate a voltage level factor for each target transmission tower according to the voltage level of each target transmission tower and a preset voltage level threshold; For each target transmission tower, a comprehensive risk value of the current target transmission tower is generated according to the corresponding distance factor, the corresponding voltage level factor and the area factor; and the risk warning level of the current target transmission tower is determined according to the comprehensive risk value of the current target transmission tower and a preset level classification standard.

8. A transmission line wildfire risk assessment device based on weather radar networking, characterized in that: include: Data acquisition module, distance weight generation module, wildfire correction distance generation module, first wildfire area generation module and risk warning level determination module; The data acquisition module is used to obtain the location information of each target transmission tower, the voltage level of each target transmission tower, the initial wildfire area, the location information of the target weather radar station, and the echo data of the target weather radar station; wherein the target transmission tower is a transmission tower located within a preset range centered on the initial wildfire area; The target weather radar station is a weather radar station whose monitoring range covers the initial wildfire area; The distance weight generating module is used to calculate the distance weight of each target weather radar station according to the preset mountain fire fire line location information and the location information of each target weather radar station when the number of target weather radar stations is not less than two; The mountain fire correction distance generation module is used to calculate the mountain fire correction distance of each target transmission tower according to the location information of each target transmission tower, the distance weight of each target meteorological radar station and the echo data of each target meteorological radar station; The first wildfire area generating module is used to generate a first wildfire area according to the location information of the first target weather radar station closest to the initial wildfire area and the echo data of the first target weather radar station; The risk warning level determination module is used to determine the risk warning level of each target transmission tower according to the wildfire corrected distance of each target transmission tower, the first wildfire area and the voltage level of each target transmission tower.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it can implement the method for assessing forest fire risks of power transmission lines based on meteorological radar networking as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it can implement the method for assessing forest fire risks of power transmission lines based on meteorological radar networking as described in any one of claims 1 to 7.

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