Lightning protection transformation point identification method and device, equipment, storage medium and program product

Abstract

The invention relates to a lightning protection transformation point identification method and device, equipment, a storage medium and a program product. The method comprises the following steps: receiving an identification request of a lightning protection transformation point; acquiring position data and height difference data of each candidate point in the cable line in the target area, wherein the height difference data is used for representing the height difference between the corresponding candidate point and the highest point of the environment where the candidate point is located; inputting the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain thunderbolt risk prediction data of each candidate point; the thunderstorm risk model is used for performing product weighting on the features corresponding to the position data and the features corresponding to the height difference data, and determining thunderbolt risk prediction data according to the combined features after product weighting; and according to the thunderbolt risk prediction data of each candidate point, determining a lightning protection transformation point of the target area from each candidate point. By adopting the method, the potential lightning protection transformation point can be identified in advance before the thunderstorm fault occurs.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power electronics, and in particular to a lightning protection reconstruction point identification method and device, equipment, a storage medium and a program product. BACKGROUND

[0002] In a power system, the annual lightning trip-out accident ratio of a thunderstorm area is relatively high in power transmission failures. Therefore, in a thunderstorm high-risk area, lightning protection reconstruction of a cable line in a power system is a necessary measure to ensure stable operation of the power system.

[0003] In related technologies, lightning protection reconstruction of a cable line usually relies on after-service repair, lightning protection reconstruction points are determined through historical trip-out data, and lightning arresters are manually installed at the reconstruction points according to reconstruction experience. However, lightning protection reconstruction of a cable line in related technologies cannot identify potential lightning protection reconstruction points in advance before a thunderstorm failure occurs. SUMMARY

[0004] Therefore, it is necessary to provide a lightning protection reconstruction point identification method, device, equipment, storage medium and program product capable of identifying potential lightning protection reconstruction points in advance before a thunderstorm failure occurs.

[0005] In a first aspect, the present application provides a lightning protection reconstruction point identification method, comprising:

[0006] receiving a lightning protection reconstruction point identification request, the identification request being used to request identification of a lightning protection reconstruction point in a cable line in a target area;

[0007] obtaining position data and height difference data of each candidate point in the cable line in the target area, the height difference data being used to represent a height difference between the corresponding candidate point and the highest point in the environment;

[0008] inputting the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point; the thunderstorm risk model is used to multiply and weight features corresponding to the position data and features corresponding to the height difference data, and determine the lightning risk prediction data according to the combined features after multiplication and weighting;

[0009] determining a lightning protection reconstruction point of the target area from the candidate points according to the lightning risk prediction data of each candidate point.

[0010] In one of the embodiments, after the lightning protection reconstruction point of the target area is determined from the candidate points according to the lightning risk prediction data of each candidate point, the method further comprises:

[0011] obtain the grounding resistance value of the lightning protection reconstruction point of the target area under an out-of-frequency sinusoidal current, the out-of-frequency sinusoidal current being used to simulate the current generated when a lightning stroke occurs;

[0012] determine the installation amount of the lightning arrester corresponding to the lightning protection reconstruction point of the target area according to the grounding resistance value of the lightning protection reconstruction point of the target area under the out-of-frequency sinusoidal current.

[0013] In one of the embodiments, the lightning arrester includes at least one of the following: a lightning receptor, a down conductor, a grounding resistance, a surge protector, and an equipotential connector.

[0014] In one of the embodiments, before the grounding resistance value of the lightning protection reconstruction point of the target area under the out-of-frequency sinusoidal current is obtained, the method further includes:

[0015] obtain historical lightning stroke information of the target area;

[0016] determine high-frequency pulse information in a historical lightning current of the target area according to the historical lightning stroke information of the target area;

[0017] determine an out-of-frequency sinusoidal current corresponding to the lightning protection reconstruction point of the target area according to the high-frequency pulse information in the historical lightning current of the target area.

[0018] In one of the embodiments, after the lightning protection reconstruction point of the target area is determined from the candidate points according to the lightning stroke risk prediction data of the candidate points, the method further includes:

[0019] obtain real-time meteorological data of the target area;

[0020] generate a real-time lightning stroke risk heat map of the target area according to the real-time meteorological data and the lightning protection reconstruction point of the target area.

[0021] In one of the embodiments, the real-time meteorological data includes real-time thunderstorm coverage range data and real-time thunderstorm intensity data; and the generation of the real-time lightning stroke risk heat map of the target area according to the real-time meteorological data and the lightning protection reconstruction point of the target area includes:

[0022] determine a thunderstorm risk sub-region in the target area in a preset time period according to the real-time thunderstorm coverage range data;

[0023] generate the real-time lightning stroke risk heat map of the target area according to the real-time thunderstorm intensity data, the installation amount of the lightning arrester corresponding to the lightning protection reconstruction point, and the thunderstorm risk sub-region in the target area.

[0024] In a second aspect, the application further provides an identification device for a lightning protection reconstruction point, which includes:

[0025] receive a request for identifying a lightning protection reconstruction point in a cable line in a target area;

[0026] obtain position data and height difference data of each candidate point in the cable line in the target area, the height difference data being used to represent a height difference between the corresponding candidate point and a highest point in the environment;

[0027] input the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point; the thunderstorm risk model is used to multiply and weight features corresponding to the position data and features corresponding to the height difference data, and determine the lightning risk prediction data according to the combined features after multiplication and weighting;

[0028] determine the lightning protection reconstruction point of the target area from the candidate points according to the lightning risk prediction data of each candidate point.

[0029] In one of the embodiments, the determining module is further configured to obtain a grounding resistance value of the lightning protection reconstruction point of the target area under an alternating frequency sinusoidal current, the alternating frequency sinusoidal current being used to simulate a current generated when a lightning strike occurs; and determine an installation amount of a lightning arrester corresponding to the lightning protection reconstruction point according to the grounding resistance value of the lightning protection reconstruction point of the target area under the alternating frequency sinusoidal current.

[0030] In one of the embodiments, the lightning arrester includes at least one of the following: a lightning rod, a down conductor, a grounding resistance, a surge protector, and an equipotential connector.

[0031] In one of the embodiments, the determining module is further configured to obtain historical lightning information of the target area; determine high-frequency pulse information in a historical lightning current of the target area according to the historical lightning information of the target area; and determine an alternating frequency sinusoidal current corresponding to the lightning protection reconstruction point of the target area according to the high-frequency pulse information in the historical lightning current of the target area.

[0032] In one of the embodiments, the determining module is further configured to obtain real-time meteorological data of the target area; and generate a real-time lightning risk heat map of the target area according to the real-time meteorological data and the lightning protection reconstruction point of the target area.

[0033] In one of the embodiments, the determining module is further configured to determine, according to the real-time thunderstorm coverage data, a thunderstorm risk sub-region in the target region within a preset time period; and generate a real-time lightning stroke risk heat map of the target region according to the real-time thunderstorm intensity data, the installation quantity of the lightning arrester corresponding to the lightning protection reconstruction point, and the thunderstorm risk sub-region in the target region.

[0034] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the lightning protection reconstruction point identification method of the first aspect when executing the computer program.

[0035] In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the lightning protection reconstruction point identification method of the first aspect.

[0036] In a fifth aspect, the present application further provides a computer program product comprising a computer program, wherein the computer program is executed by a processor to implement the lightning protection reconstruction point identification method of the first aspect.

[0037] The lightning protection reconstruction point identification method, device, equipment, storage medium and program product described above receive a lightning protection reconstruction point identification request, wherein the identification request is used to request to identify a lightning protection reconstruction point in a cable line in a target region; obtain position data and height difference data of each candidate point in the cable line in the target region, wherein the height difference data is used to represent a height difference between the corresponding candidate point and the highest point in the environment; input the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning stroke risk prediction data of each candidate point; the thunderstorm risk model is used to multiply and weight features corresponding to the position data and features corresponding to the height difference data, and determine the lightning stroke risk prediction data according to the combined features after the multiplication and weighting; and determine the lightning protection reconstruction point of the target region from each candidate point according to the lightning stroke risk prediction data of each candidate point. Since the lightning stroke risk prediction is performed by the thunderstorm risk model based on the position data and the height difference data of each candidate point in the cable line, the lightning protection reconstruction point of the target region can be determined from each candidate point before the thunderstorm failure occurs based on the lightning stroke risk prediction data, thereby realizing the early identification of the potential lightning protection reconstruction point before the thunderstorm failure. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technical solutions, the drawings needed to be used in the description of the embodiments of the present application or the related technical solutions will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other related drawings can be obtained by those skilled in the art without any creative effort.

[0039] Figure 1 An application environment diagram of a lightning protection reconstruction point identification method provided by an embodiment of the present application is provided;

[0040] Figure 2 A flowchart of a lightning protection reconstruction point identification method provided by an embodiment of the present application is provided;

[0041] Figure 3 A flowchart of another lightning protection reconstruction point identification method provided by an embodiment of the present application is provided;

[0042] Figure 4 A structural block diagram of a lightning protection reconstruction point identification device provided by an embodiment of the present application is provided;

[0043] Figure 5 An internal structure diagram of a computer device provided by an embodiment of the present application is provided. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0045] The related art will be described first as follows.

[0046] In the power system, the annual lightning trip accident ratio of lightning areas is relatively high in power transmission failures. Therefore, in the high-risk lightning area, the lightning protection reconstruction of the cable line in the power system is a necessary measure to ensure the stable operation of the power system.

[0047] In the related art, the lightning protection reconstruction of the cable line has the following problems.

[0048] Firstly, the lightning protection reconstruction of the cable line usually relies on after-service repair, determines the reconstruction point of lightning failure through historical trip data, and then relies on reconstruction experience to manually install the arrester at the reconstruction point. Secondly, the reconstruction experience relies on the isolation of information between the grounding resistance measurement, the terrain data and the lightning positioning, and lacks correlation analysis, resulting in inaccurate number of installed arresters. Finally, since the installation of the arrester relies on the reconstruction experience, the differentiated risks of different terrains / equipments are not quantified, resulting in resource waste or insufficient protection.

[0049] To solve the above problems, an embodiment of the present application provides a lightning protection reconstruction point identification method, device, equipment, storage medium and program product. The lightning protection reconstruction point is determined from the candidate points in the target area based on the lightning risk prediction data before the thunderstorm failure occurs, and the lightning protection reconstruction point is identified in advance before the thunderstorm failure.

[0050] The application scenario of the lightning protection reconstruction point identification method provided by the embodiment of the present application is described below.

[0051] The lightning protection reconstruction point identification method provided by the embodiment of the present application can be applied in an application environment as shown in the figure. Figure 1 The terminal 102 communicates with the server 104 through the network. The data storage system can store the data required to be processed by the server 104. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers.

[0052] The terminal 102 can send a lightning protection reconstruction point identification request to the server 104, and the identification request is used to request to identify the lightning protection reconstruction point in the cable line in the target area. After receiving the lightning protection reconstruction point identification request, the server 104 first obtains the position data and height difference data of each candidate point in the cable line in the target area, and the height difference data is used to represent the height difference between the corresponding candidate point and the highest point in the environment. Subsequently, the server 104 inputs the position data and height difference data of each candidate point into the thunderstorm risk model to obtain the lightning risk prediction data of each candidate point; the thunderstorm risk model is used to multiply and weight the features corresponding to the position data and the features corresponding to the height difference data, and determine the lightning risk prediction data according to the combined features after multiplication and weighting. Finally, the server 104 determines the lightning protection reconstruction point of the target area from each candidate point according to the lightning risk prediction data of each candidate point.

[0053] The terminal 102 can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things device can be a smart speaker, a smart television, a smart air conditioner, a smart vehicle device, a projection device, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 can be a standalone physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0054] In one example embodiment, as shown in FIG. 1 Figure 2 A lightning protection reconstruction point identification method is provided, which is applied to a server in Figure 1 for example, and includes S201-S204. In this embodiment, the server receives a lightning protection reconstruction point identification request, and then obtains position data and height difference data of each candidate point in a cable line in a target area.

[0055] S201, receiving a lightning protection reconstruction point identification request.

[0056] The identification request is used to request identification of a lightning protection reconstruction point in a cable line in a target area.

[0057] In this application, when lightning protection reconstruction needs to be performed on a power system, a terminal can send a lightning protection reconstruction point identification request to a server, so as to instruct the server to identify a lightning protection reconstruction point from a target area indicated by the terminal.

[0058] It should be understood that the above target area can be a specific geographic area, which can be indicated by latitude and longitude. It can also be a start and end area of a certain end of a cable line, which can be indicated by a line segment identifier of the cable line. The embodiments of this application do not limit this.

[0059] In some embodiments, the terminal can display an area where the cable line is located or a line segment of the cable line, for a user to select a target area to be subjected to lightning protection reconstruction. Then, in response to a selection instruction of the target area by the user, the terminal generates a lightning protection reconstruction point identification request and sends the lightning protection reconstruction point identification request to the server.

[0060] S202, obtaining position data and height difference data of each candidate point in the cable line in the target area.

[0061] In this step, after receiving the lightning protection reconstruction point identification request, the server can obtain position data and height difference data of each candidate point in the cable line in the target area.

[0062] In this embodiment, the server can pre-set each candidate point in the cable line, or can divide each candidate point in the cable line in real time after receiving the lightning protection reconstruction point identification request. The embodiments of this application do not limit this. For example, a plurality of candidate points can be divided in the cable line in the target area according to a preset line segment length. For example, a plurality of candidate points can be divided in the cable line in the target area according to a preset latitude and longitude difference.

[0063] The position data of the candidate point can be latitude and longitude data of the candidate point.

[0064] The height difference data is used to represent the height difference between the corresponding candidate point and the highest point of the environment. For example, the height difference data of the candidate point in the cable line can be obtained by taking the highest point of the environment as a reference surface.

[0065] For example, the height difference data can be measured in various ways, including leveling and trigonometric leveling. For a cable line in a flat terrain, leveling can be directly used to determine the height difference between the reference surface and the candidate point, thereby obtaining the height difference data of the corresponding candidate point. For a cable line in a complex terrain such as a mountainous area, trigonometric leveling can be used to calculate the height difference between the candidate point and the reference surface by measuring the horizontal distance and the vertical angle between two points, thereby obtaining the height difference data of the corresponding candidate point.

[0066] It should be understood that the embodiments of the present application do not limit the highest point of the environment, which can be determined based on actual objects in the environment. For example, the highest point of the environment can include the highest point of a tree, the highest point of a building, and the highest point of the ground.

[0067] In some embodiments, the position data and the height difference data can be pre-collected and stored in the server, and the position data and the height difference data are mapped to the line sections of the cable line. Accordingly, after the server receives the identification request of the lightning protection reconstruction point, the line section of the corresponding cable line and the candidate points in the cable line can be determined based on the target area in the identification request of the lightning protection reconstruction point. Then, the position data and the height difference data of each candidate point in the cable line in the target area are obtained by referring to the mapping relationship between the position data and the height difference data and the line sections of the cable line.

[0068] S203, input the position data and the height difference data of each candidate point into the thunderstorm risk model to obtain the lightning risk prediction data of each candidate point.

[0069] In this step, after the server obtains the position data and the height difference data of each candidate point in the cable line in the target area, the position data and the height difference data of each candidate point are input into the thunderstorm risk model to obtain the lightning risk prediction data of each candidate point.

[0070] The thunderstorm risk model will be described below.

[0071] In some embodiments, the thunderstorm risk model can be generated by training a sample set composed of pre-collected historical position data, historical height data, and historical thunderstorm data.

[0072] For example, the thunderstorm risk model can be a neural network model, a random forest model, etc., and the embodiments of the present application do not limit this.

[0073] In some embodiments, the thunderstorm risk model is used to multiply weight the features corresponding to the location data and the features corresponding to the height difference data, and determine the lightning risk prediction data according to the multiply weighted merged features.

[0074] For example, after the feature extraction layer in the thunderstorm risk model extracts the features corresponding to the location data and the features corresponding to the height difference data respectively, the features corresponding to the location data and the features corresponding to the height difference data can be respectively weighted by using the determined weights. Subsequently, after the features corresponding to the location data and the features corresponding to the height difference data are weighted, a product term between the features can be introduced, so as to obtain multiply weighted merged features, so as to capture the interaction effect and the nonlinear relationship between the features corresponding to the location data and the features corresponding to the height difference data.

[0075] For example, the multiply weighted merged features can be determined by formula (1).

[0076] (1)

[0077] wherein, is the multiply weighted merged features, is the features corresponding to the location data, is the features corresponding to the height difference data, is the weight of the features corresponding to the location data, is the weight of the features corresponding to the height difference data, is the product weight.

[0078] In this application, after the thunderstorm risk model extracts the features, the multiply weighted merged features are obtained, so as to capture the interaction effect and the nonlinear relationship between the features corresponding to the location data and the features corresponding to the height difference data, so that the prediction result of the model is more in line with the result jointly affected by the location and the height, and the thunderstorm risk prediction accuracy of the thunderstorm risk model is higher.

[0079] S204, according to the lightning risk prediction data of each candidate point, determining the lightning protection reconstruction point of the target area from each candidate point.

[0080] In this step, after the server inputs the location data and the height difference data of each candidate point into the thunderstorm risk model to obtain the lightning risk prediction data of each candidate point, the lightning protection reconstruction point of the target area can be determined from each candidate point according to the lightning risk prediction data of each candidate point.

[0081] In some embodiments, after determining the lightning protection reconstruction points of the target area from the candidate points according to the lightning risk prediction data of the candidate points, the server can obtain the grounding resistance value of the lightning protection reconstruction points of the target area under the frequency sinusoidal current. Then, the server can determine the installation amount of the lightning arrester corresponding to the lightning protection reconstruction points according to the grounding resistance value of the lightning protection reconstruction points of the target area under the frequency sinusoidal current.

[0082] It should be understood that the above-mentioned frequency sinusoidal current is the current injected by the variable frequency large current method, which is used to simulate the current generated when lightning occurs. The frequency of the above-mentioned frequency sinusoidal current can be consistent with the frequency of lightning, for example, the frequency of the frequency sinusoidal current is 40-500Hz.

[0083] For example, if the frequency of local lightning is 100Hz, the frequency of 100Hz can be used as the frequency of the frequency sinusoidal current for testing the grounding resistance value. After injecting the frequency sinusoidal current of 100Hz by the variable frequency large current method, the grounding resistance value can be detected.

[0084] The grounding resistance value is a parameter of the ability of the cable line to safely guide the lightning current into the ground, which is related to the environment (for example, the soil near the cable line) and the lightning arrester of the cable line.

[0085] For example, the lightning arrester includes at least one of the following: a lightning arrester, a down conductor, a grounding resistance, a surge protector, and an equipotential connector. The lightning arrester is used to intercept direct lightning, the down conductor is used to guide the lightning current from the lightning arrester to the grounding resistance, the grounding resistance is used to safely guide the lightning current into the ground, the surge protector is used to suppress the overvoltage generated by the induced lightning or lightning wave, and the equipotential connector is used to connect all metal parts in the cable line with the grounding system to eliminate the potential difference.

[0086] For example, because the frequency of lightning is different in different regions, the grounding resistance value under the frequency sinusoidal current is different, and based on different lightning protection level requirements, each level has the minimum grounding resistance value. When the grounding resistance value under the frequency sinusoidal current is lower than the minimum grounding resistance value of the corresponding level, the installation amount of the standard resistance of the lightning arrester (grounding resistance) that needs to be increased can be calculated based on the difference between the two.

[0087] It should be understood that the embodiments of the present application do not limit how to determine the frequency sinusoidal current corresponding to the lightning protection reconstruction points of the target area. In some embodiments, the server can obtain the historical lightning information of the target area. Then, the server can determine the high-frequency pulse information in the historical lightning current of the target area according to the historical lightning information of the target area. Finally, the server can determine the frequency sinusoidal current corresponding to the lightning protection reconstruction points of the target area according to the high-frequency pulse information in the historical lightning current of the target area.

[0088] The historical lightning information includes data of lightning and data of cable lines recorded when the historical lightning occurred. It should be understood that, since the main discharge process of lightning contains high-frequency pulse components, the frequency corresponding to the hetero-frequency sinusoidal current of the simulated lightning current generated when the lightning occurs can be accurately determined through the high-frequency pulse data of the historical lightning information.

[0089] In some embodiments, the server can obtain real-time weather data of the target area. Then, the server generates a real-time lightning risk heat map of the target area according to the real-time weather data and the lightning protection reconstruction points of the target area.

[0090] The real-time weather data can include real-time thunderstorm coverage data, so as to determine the thunderstorm risk sub-area of the target area that can be subjected to thunderstorms, and then generate a real-time lightning risk heat map of the target area in combination with the lightning protection reconstruction points of the target area.

[0091] The real-time lightning risk heat map can include the range of the cable lines covered by the thunderstorm, the lightning protection reconstruction points in the cable lines covered by the thunderstorm, and the abnormal dangerous points in the cable lines covered by the thunderstorm that have not been subjected to lightning protection reconstruction. The lightning protection reconstruction points and the abnormal dangerous points can be displayed in the real-time lightning risk heat map by using different icons.

[0092] For example, the real-time weather data can also include real-time thunderstorm intensity data. Accordingly, the server can determine the thunderstorm risk sub-area in the target area within a preset time period according to the real-time thunderstorm coverage data. Then, the server generates a real-time lightning risk heat map of the target area according to the real-time thunderstorm intensity data, the installation amount of the lightning arresters corresponding to the lightning protection reconstruction points, and the thunderstorm risk sub-area in the target area.

[0093] That is, the server calculates whether the lightning protection reconstruction points in the thunderstorm risk sub-area can withstand the thunderstorm of the current intensity through the real-time thunderstorm intensity data and the installation amount of the lightning arresters corresponding to the lightning protection reconstruction points. If the lightning protection reconstruction points can withstand the thunderstorm of the current intensity, the lightning protection reconstruction points remain unchanged in the real-time lightning risk heat map. If the lightning protection reconstruction points cannot withstand the thunderstorm of the current intensity, the icon of the lightning protection reconstruction points is changed to the icon of the abnormal dangerous point in the real-time lightning risk heat map.

[0094] The method for identifying a lightning protection reconstruction point provided in the embodiments of the present application receives a request for identifying a lightning protection reconstruction point in a cable line in a target area, obtains position data and height difference data of each candidate point in the cable line in the target area, the height difference data being used to represent a height difference between the corresponding candidate point and the highest point in the environment where the candidate point is located, inputs the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point, the thunderstorm risk model being used to multiply and weight features corresponding to the position data and features corresponding to the height difference data, and determine the lightning risk prediction data according to the combined features after the multiplication and weighting, and determine the lightning protection reconstruction point of the target area from each candidate point according to the lightning risk prediction data of each candidate point. Since the lightning risk prediction is performed on the position data and the height difference data of each candidate point in the cable line by the thunderstorm risk model, the lightning protection reconstruction point of the target area can be determined from each candidate point before a thunderstorm fault occurs based on the lightning risk prediction data, and thus the early identification of the potential lightning protection reconstruction point before the thunderstorm fault is realized.

[0095] Figure 3 Another flowchart of a method for identifying a lightning protection reconstruction point provided in the embodiments of the present application is shown in FIG. 3, which includes S301-S312. Figure 3

[0096] S301, a request for identifying a lightning protection reconstruction point is received, the request being used to request identifying a lightning protection reconstruction point in a cable line in a target area.

[0097] S302, position data and height difference data of each candidate point in the cable line in the target area are obtained.

[0098] The height difference data is used to represent a height difference between the corresponding candidate point and the highest point in the environment where the candidate point is located.

[0099] S303, the position data and the height difference data of each candidate point are input into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point.

[0100] The thunderstorm risk model is used to multiply and weight features corresponding to the position data and features corresponding to the height difference data, and determine the lightning risk prediction data according to the combined features after the multiplication and weighting.

[0101] S304, the lightning protection reconstruction point of the target area is determined from each candidate point according to the lightning risk prediction data of each candidate point.

[0102] S305, historical lightning information of the target area is obtained.

[0103] ​S306, determine high-frequency pulse information in the historical lightning current of the target area according to the historical lightning information of the target area.

[0104] S307, determine the hetero-frequency sinusoidal current corresponding to the lightning protection reconstruction point of the target area according to the high-frequency pulse information in the historical lightning current of the target area.

[0105] S308, obtain the grounding resistance value of the lightning protection reconstruction point of the target area under the hetero-frequency sinusoidal current.

[0106] The hetero-frequency sinusoidal current is used to simulate the current generated when lightning occurs.

[0107] S309, determine the installation amount of the lightning arrester corresponding to the lightning protection reconstruction point according to the grounding resistance value of the lightning protection reconstruction point of the target area under the hetero-frequency sinusoidal current.

[0108] The lightning arrester includes at least one of the following: a lightning receptor, a down conductor, a grounding resistance, a surge protector, and an equipotential connector.

[0109] S310, obtain real-time meteorological data of the target area.

[0110] The real-time meteorological data includes real-time thunderstorm coverage range data and real-time thunderstorm intensity data.

[0111] S311, determine a thunderstorm risk sub-area in the target area within a preset time period according to the real-time thunderstorm coverage range data.

[0112] S312, generate a real-time lightning risk heat map of the target area according to the real-time thunderstorm intensity data, the installation amount of the lightning arrester corresponding to the lightning protection reconstruction point, and the thunderstorm risk sub-area in the target area.

[0113] The method for identifying a lightning protection reconstruction point provided in the embodiments of the present application receives a request for identifying a lightning protection reconstruction point in a cable line in a target area; obtains position data and height difference data of each candidate point in the cable line in the target area, the height difference data being used to represent a height difference between the corresponding candidate point and the highest point in the environment where the candidate point is located; inputs the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point; the thunderstorm risk model is used to multiply and weight features corresponding to the position data and features corresponding to the height difference data, and determine the lightning risk prediction data according to the combined features after the multiplication and weighting; and determine the lightning protection reconstruction point of the target area from each candidate point according to the lightning risk prediction data of each candidate point. Since the lightning risk prediction is performed on the position data and the height difference data of each candidate point in the cable line by the thunderstorm risk model, the lightning protection reconstruction point of the target area can be determined from each candidate point before a thunderstorm fault occurs based on the lightning risk prediction data, and thus the early identification of the potential lightning protection reconstruction point before the thunderstorm fault is realized.

[0114] It should be understood that, although each step in the flowchart involved in each of the above embodiments is shown in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each of the above embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0115] Based on the same inventive concept, the embodiments of the present application also provide a lightning protection reconstruction point identification device for implementing the above-mentioned lightning protection reconstruction point identification method. The problem-solving implementation scheme provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more lightning protection reconstruction point identification device embodiments provided below can refer to the limitations of the lightning protection reconstruction point identification method in the above text, which will not be repeated here.

[0116] In one exemplary embodiment, as shown in Figure 4 A lightning protection reconstruction point identification device 400 is provided, which includes a receiving module 401, an obtaining module 402, a prediction module 403, and a determination module 404, wherein:

[0117] The receiving module 401 is configured to receive an identification request of a lightning protection reconstruction point, and the identification request is used to request to identify the lightning protection reconstruction point in a cable line in a target area.

[0118] The obtaining module 402 is configured to obtain position data and height difference data of each candidate point in the cable line in the target area, and the height difference data is used to represent a height difference between the corresponding candidate point and the highest point in the environment.

[0119] The prediction module 403 is configured to input the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point, and the thunderstorm risk model is used to multiply and weight features corresponding to the position data and the height difference data, and determine the lightning risk prediction data according to the combined features after the multiplication and weighting.

[0120] The determination module 404 is configured to determine the lightning protection reconstruction point of the target area from each candidate point according to the lightning risk prediction data of each candidate point.

[0121] In one of the embodiments, the determination module 404 is further configured to obtain a grounding resistance value of the lightning protection reconstruction point of the target area under an alternating frequency sinusoidal current, the alternating frequency sinusoidal current is used to simulate a current generated when lightning occurs, and determine an installation amount of a lightning arrester corresponding to the lightning protection reconstruction point according to the grounding resistance value of the lightning protection reconstruction point of the target area under the alternating frequency sinusoidal current.

[0122] In one of the embodiments, the lightning arrester includes at least one of the following: a lightning rod, a down conductor, a grounding resistance, a surge protector, and an equipotential connector.

[0123] In one of the embodiments, the determination module 404 is further configured to obtain historical lightning information of the target area, determine high-frequency pulse information in a historical lightning current of the target area according to the historical lightning information of the target area, and determine an alternating frequency sinusoidal current corresponding to the lightning protection reconstruction point of the target area according to the high-frequency pulse information in the historical lightning current of the target area.

[0124] In one of the embodiments, the determination module 404 is further configured to obtain real-time meteorological data of the target area, and generate a real-time lightning risk heat map of the target area according to the real-time meteorological data and the lightning protection reconstruction point of the target area.

[0125] In one of the embodiments, the determination module 404 is further configured to determine a thunderstorm risk sub-area in the target area in a preset time period according to real-time thunderstorm coverage range data, and generate a real-time lightning risk heat map of the target area according to real-time thunderstorm intensity data, an installation amount of a lightning arrester corresponding to the lightning protection reconstruction point, and the thunderstorm risk sub-area in the target area.

[0126] Each module in the lightning protection reconstruction point identification device described above can be implemented by software, hardware, and combinations thereof, in whole or in part. The modules described above can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to each module.

[0127] In an exemplary embodiment, a computer device, which can be a server, is provided, and an internal structure diagram of the computer device can be as shown in Figure 5 The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is configured to store data. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to communicate with terminals outside through a network connection. The computer program is executed by the processor to implement a lightning protection reconstruction point identification method.

[0128] Those skilled in the art can understand that Figure 5 The structure shown in the above

[0129] In an exemplary embodiment, a computer device is provided, which includes a memory and a processor, and the memory stores a computer program. When the processor executes the computer program, the following steps are implemented:

[0130] receiving a lightning protection reconstruction point identification request, the identification request being used to request to identify lightning protection reconstruction points in a cable line in a target area;

[0131] obtaining position data and height difference data of each candidate point in the cable line in the target area, the height difference data being used to represent a height difference between the corresponding candidate point and the highest point in the environment;

[0132] inputting the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point; the thunderstorm risk model is used for multiplying and weighting features corresponding to the position data and features corresponding to the height difference data, and determining the lightning risk prediction data according to the combined features after the multiplication and weighting;

[0133] According to the lightning risk prediction data of each candidate point, the lightning protection reconstruction point of the target area is determined from each candidate point.

[0134] In one embodiment, after determining the lightning protection reconstruction point of the target area from each candidate point according to the lightning risk prediction data of each candidate point, the method further comprises:

[0135] Obtaining the grounding resistance value of the lightning protection reconstruction point of the target area under the hetero-frequency sinusoidal current, the hetero-frequency sinusoidal current being used for simulating the current generated when lightning occurs;

[0136] According to the grounding resistance value of the lightning protection reconstruction point of the target area under the hetero-frequency sinusoidal current, determining the installation quantity of the lightning arrester corresponding to the lightning protection reconstruction point.

[0137] In one embodiment, the lightning arrester comprises at least one of the following: a lightning receptor, a down conductor, a grounding resistance, a surge protector, and an equipotential connector.

[0138] In one embodiment, before obtaining the grounding resistance value of the lightning protection reconstruction point of the target area under the hetero-frequency sinusoidal current, the method further comprises:

[0139] Obtaining historical lightning information of the target area;

[0140] According to the historical lightning information of the target area, determining high-frequency pulse information in the historical lightning current of the target area;

[0141] According to the high-frequency pulse information in the historical lightning current of the target area, determining the hetero-frequency sinusoidal current corresponding to the lightning protection reconstruction point of the target area.

[0142] In one embodiment, after determining the lightning protection reconstruction point of the target area from each candidate point according to the lightning risk prediction data of each candidate point, the method further comprises:

[0143] Obtaining real-time meteorological data of the target area;

[0144] According to the real-time meteorological data and the lightning protection reconstruction point of the target area, generating a real-time lightning risk heat map of the target area.

[0145] In one embodiment, the real-time meteorological data comprises real-time thunderstorm coverage range data and real-time thunderstorm intensity data; according to the real-time meteorological data and the lightning protection reconstruction point of the target area, generating a real-time lightning risk heat map of the target area comprises:

[0146] determining a thunderstorm risk sub-region in the target region within a preset time period according to real-time thunderstorm coverage data;

[0147] generating a real-time lightning risk heat map of the target region according to real-time thunderstorm intensity data, an installation quantity of a lightning arrester corresponding to the lightning protection reconstruction point, and the thunderstorm risk sub-region in the target region.

[0148] In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the following steps:

[0149] receiving an identification request for a lightning protection reconstruction point, the identification request being used to request identification of a lightning protection reconstruction point in a cable line in a target region;

[0150] obtaining position data and height difference data of each candidate point in the cable line in the target region, the height difference data being used to represent a height difference between the corresponding candidate point and the highest point in the environment;

[0151] inputting the position data and the height difference data of each candidate point into a thunderstorm risk model to obtain lightning risk prediction data of each candidate point; the thunderstorm risk model is used to multiply and weight features corresponding to the position data and features corresponding to the height difference data, and to determine the lightning risk prediction data according to the combined features after multiplication and weighting;

[0152] determining the lightning protection reconstruction point of the target region from each candidate point according to the lightning risk prediction data of each candidate point.

[0153] In one embodiment, after determining the lightning protection reconstruction point of the target region from each candidate point according to the lightning risk prediction data of each candidate point, the method further comprises:

[0154] obtaining a grounding resistance value of the lightning protection reconstruction point of the target region under an out-of-frequency sinusoidal current, the out-of-frequency sinusoidal current being used to simulate a current generated when lightning strikes;

[0155] determining an installation quantity of a lightning arrester corresponding to the lightning protection reconstruction point according to the grounding resistance value of the lightning protection reconstruction point of the target region under the out-of-frequency sinusoidal current.

[0156] In one embodiment, the lightning arrester comprises at least one of the following: a lightning rod, a down conductor, a grounding resistance, a surge protector, and an equipotential connector.

[0157] In one embodiment, before obtaining the grounding resistance value of the lightning protection reconstruction point of the target region under the out-of-frequency sinusoidal current, the method further comprises:

[0158] obtaining historical lightning information of the target region;

[0159] According to the historical lightning information of the target area, high-frequency pulse information in the historical lightning current of the target area is determined.

[0160] According to the high-frequency pulse information in the historical lightning current of the target area, a hetero-frequency sinusoidal current corresponding to the lightning protection reconstruction point of the target area is determined.

[0161] In one embodiment, after determining the lightning protection reconstruction point of the target area from each candidate point according to the lightning risk prediction data of each candidate point, the method further comprises:

[0162] Obtaining real-time meteorological data of the target area;

[0163] According to the real-time meteorological data and the lightning protection reconstruction point of the target area, a real-time lightning risk heat map of the target area is generated.

[0164] In one embodiment, the real-time meteorological data includes real-time thunderstorm coverage range data and real-time thunderstorm intensity data; according to the real-time meteorological data and the lightning protection reconstruction point of the target area, a real-time lightning risk heat map of the target area is generated, including:

[0165] According to the real-time thunderstorm coverage range data, a thunderstorm risk sub-area in the target area within a preset time period is determined;

[0166] According to the real-time thunderstorm intensity data, the installation quantity of the lightning arrester corresponding to the lightning protection reconstruction point and the thunderstorm risk sub-area in the target area, a real-time lightning risk heat map of the target area is generated.

[0167] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing relevant hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., but is not limited thereto. The processor involved in the embodiments provided in the present application can be a general processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but is not limited thereto.

[0168] The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, but as long as the combinations of the technical features do not exist, they should be considered as the scope of the present application.

[0169] The above embodiments only express several implementation ways of the present application, and the description is specific and detailed, but it should not be understood as a limitation to the patent scope of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for identifying lightning protection retrofit points, characterized in that, The method includes: Receive a request to identify lightning protection upgrade points, the request being used to identify lightning protection upgrade points in cable lines within a target area; The location data and height difference data of each candidate point in the cable line within the target area are obtained. The height difference data is used to characterize the height difference between the corresponding candidate point and the highest point of the environment. The location data and height difference data of each candidate point are input into the thunderstorm risk model to obtain the lightning strike risk prediction data of each candidate point; the thunderstorm risk model is used to perform a product weighting of the features corresponding to the location data and the features corresponding to the height difference data, and to determine the lightning strike risk prediction data based on the combined features after product weighting. Based on the lightning risk prediction data of each candidate point, the lightning protection renovation points of the target area are determined from each candidate point.

2. The method according to claim 1, characterized in that, After determining the lightning protection upgrade points for the target area from the lightning strike risk prediction data of each candidate point, the method further includes: Obtain the grounding resistance value of the lightning protection renovation point in the target area under a different frequency sinusoidal current, wherein the different frequency sinusoidal current is used to simulate the current generated when lightning strikes; Based on the grounding resistance value of the lightning protection renovation point in the target area under a different frequency sinusoidal current, determine the number of surge arresters to be installed at the lightning protection renovation point.

3. The method according to claim 2, characterized in that, The surge arrester includes at least one of the following: lightning arrester, down conductor, grounding resistor, surge protector, and equipotential bonding connector.

4. The method according to claim 2, characterized in that, Before obtaining the grounding resistance value of the lightning protection renovation point in the target area under a different frequency sinusoidal current, the method further includes: Obtain historical lightning strike information for the target area; Based on the historical lightning strike information of the target area, determine the high-frequency pulse information in the historical lightning strike current of the target area; Based on the high-frequency pulse information in the historical lightning currents of the target area, the different frequency sinusoidal current corresponding to the lightning protection renovation point of the target area is determined.

5. The method according to claim 1, characterized in that, After determining the lightning protection upgrade points for the target area from the lightning strike risk prediction data of each candidate point, the method further includes: Obtain real-time meteorological data for the target area; Based on the real-time meteorological data and the lightning protection upgrade points in the target area, a real-time lightning risk heat map of the target area is generated.

6. The method according to claim 5, characterized in that, The real-time meteorological data includes real-time thunderstorm coverage data and real-time thunderstorm intensity data; the step of generating a real-time lightning risk heat map of the target area based on the real-time meteorological data and the lightning protection upgrade points in the target area includes: Based on the real-time thunderstorm coverage data, determine the thunderstorm risk sub-regions in the target area within a preset time period; Based on the real-time thunderstorm intensity data, the number of lightning arresters installed at the lightning protection renovation points, and the thunderstorm risk sub-regions in the target area, a real-time lightning strike risk heat map of the target area is generated.

7. A device for identifying lightning protection retrofit points, characterized in that, The device includes: The receiving module is used to receive identification requests for lightning protection upgrade points, wherein the identification requests are used to request the identification of lightning protection upgrade points in cable lines within the target area; The acquisition module is used to acquire the location data and height difference data of each candidate point in the cable line within the target area. The height difference data is used to characterize the height difference between the corresponding candidate point and the highest point of the environment. The prediction module is used to input the location data and height difference data of each candidate point into the thunderstorm risk model to obtain the lightning strike risk prediction data of each candidate point; the thunderstorm risk model is used to perform a product weighting on the features corresponding to the location data and the features corresponding to the height difference data, and determine the lightning strike risk prediction data based on the combined features after product weighting. The determination module is used to determine the lightning protection renovation points of the target area from the lightning risk prediction data of each candidate point.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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