Method, device and equipment for processing whole-process data of transmission line lightning stroke and medium

Abstract

The application discloses a power transmission line lightning stroke whole process data processing method, device and equipment and medium, relates to the power transmission line lightning stroke monitoring field, and the method comprises the steps that lightning positioning system, distributed traveling wave device and fault recording device record first monitoring data, second monitoring data and third monitoring data in the time window of lightning activity;The first monitoring data and the second monitoring data are calculated reversely by using the light speed inversion algorithm, the time difference and the distance difference between the distributed traveling wave device and the lightning positioning system are obtained, the part of monitoring data that does not conform to the time difference and / or distance difference in the second monitoring data is removed, and the fourth monitoring data is obtained;The time stamps of the first monitoring data, the third monitoring data and the fourth monitoring data are sorted in time in the time window, and the time sequence of the lightning event is obtained;According to the time sequence, the first monitoring data, the third monitoring data and the fourth monitoring data are processed, and the monitoring data of the whole process of lightning stroke is obtained.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of transmission line lightning stroke monitoring, more particularly, it relates to a transmission line lightning stroke whole process data processing method, device, equipment and medium. BACKGROUND

[0002] Lightning disaster has long been the primary factor causing transmission line failure, and the current lightning analysis methods mainly include lightning positioning, atmospheric electric field monitoring, satellite lightning monitoring, and weather radar thunderstorm monitoring.

[0003] Among them, lightning positioning is achieved by arranging multiple lightning detection sub-stations in a range of hundreds of kilometers to thousands of kilometers to form a wide-area lightning positioning system, commonly using magnetic orientation method, time difference method, and time difference orientation hybrid method to realize large-scale lightning monitoring. The lightning positioning system monitors electromagnetic radiation in the range of tens of kilohertz to several megahertz, but due to the uncertainty and randomness of lightning parameters, it often causes missed or misjudged lightning data, making it impossible to determine whether it is a lightning failure. The distributed traveling wave device is a device installed on the conductor of the transmission line to locate faults, which monitors the current change of the line in real time, captures the transient waveform, and can be used to determine the nature of lightning by analyzing the traveling wave propagation characteristics. It uses whether the tail time is greater than 20 microseconds to determine whether it is a lightning failure, but it is affected by the distance of the lightning point position, the characteristics of the lightning channel, and the influence of the lightning current propagation attenuation characteristics of the transmission line, and the traveling wave waveform is quite different, often resulting in incorrect judgment of whether it is a lightning stroke. The fault recording of the transformer substation is a state technology in power system monitoring and diagnosis, which is used to record the voltage, current, frequency and other characteristics of the power system under disturbance, operation and fault state, but the sampling rate of the fault recording is generally 4000Hz-20000Hz, which is limited by the resolution and the influence of the response of the voltage transformer under impact, and cannot record the lightning current completely or the lightning current characteristics are incomplete.

[0004] In summary, how to improve the accuracy and effectiveness of lightning data is a problem that needs to be solved at present. SUMMARY

[0005] The purpose of the present application is to provide a transmission line lightning stroke whole process data processing method, device, equipment and medium, which solves the problems of low accuracy and effectiveness of lightning data.

[0006] The first aspect of the present application provides a transmission line lightning stroke whole process data processing method, the method comprising:

[0007] acquiring first monitoring data recorded by a lightning positioning system in a time window of lightning activity, second monitoring data recorded by a distributed traveling wave device in the time window of lightning activity, and third monitoring data recorded by a fault recording device in the time window of lightning activity;

[0008] The time difference value and the distance difference value between the distributed traveling wave device and the lightning location system are obtained by using the light speed inversion algorithm to inversely calculate the first monitoring data and the second monitoring data, the part of the monitoring data in the second monitoring data which does not conform to the time difference value and / or the distance difference value is eliminated, and the fourth monitoring data is obtained;

[0009] The time stamps of the first monitoring data, the third monitoring data and the fourth monitoring data are sequentially sorted in the time window, and the time sequence of the lightning event is obtained.

[0010] The first monitoring data, the third monitoring data and the fourth monitoring data are processed according to the time sequence, and the monitoring data of the whole lightning process is obtained.

[0011] In an implementation scheme, before the first monitoring data, the second monitoring data and the third monitoring data are obtained, the method further comprises: performing time correction on the lightning location system, the distributed traveling wave device and the fault recording device of the substation.

[0012] In an implementation scheme, the process of obtaining the fourth monitoring data is as follows:

[0013] The time when the distributed traveling wave device captures the lightning point is determined according to the second monitoring data, the light speed inversion algorithm is used to inversely calculate the time, and the first time stamp and the first lightning position when the lightning wave is received by different distributed traveling wave devices are obtained.

[0014] The longitude and latitude coordinates of the detection substation capturing the lightning point are queried from the original database recorded by the lightning location system by using the first time stamp, the light speed inversion algorithm is used to inversely calculate the longitude and latitude coordinates, the second time stamp and the second lightning position when the lightning wave is received by the lightning location system are obtained.

[0015] The first time stamp and the second time stamp are analyzed to determine the time difference value, the first lightning position and the second lightning position are analyzed to determine the distance difference value, the part of the monitoring data in the second monitoring data which does not conform to the time difference value and / or the distance difference value is eliminated, and the fourth monitoring data is obtained.

[0016] In an implementation scheme, the time when the distributed traveling wave device captures the lightning point is determined according to the second monitoring data, which comprises: calculating the second monitoring data by using the double-ended ranging or single-ended ranging method to determine the time when the distributed traveling wave device captures the lightning point.

[0017] In an implementation, before the latitude and longitude coordinates are inversely calculated by using the light speed inversion algorithm to obtain the second time stamp of the lightning wave received by the lightning positioning system, it is judged whether the second monitoring data is lower than the data positioned by the three detection sub-stations, if lower, the latitude and longitude coordinates are inversely calculated by using the light speed inversion algorithm, if not lower, the lightning current time calculated by the center station of the lightning positioning system is used as the second time stamp of the lightning wave.

[0018] In an implementation, the latitude and longitude coordinates are inversely calculated by using the light speed inversion algorithm to obtain the second time stamp of the lightning wave received by the lightning positioning system, comprising:

[0019] According to the first lightning position and the latitude and longitude coordinates, a reference quantity is calculated;

[0020] According to the reference quantity and the earth radius, the distance from the detection sub-station to the lightning stroke point is calculated;

[0021] According to the distance from the detection sub-station to the lightning stroke point, the propagation time of the lightning current to the detection sub-station is calculated;

[0022] The receiving time of the lightning current received by the detection sub-station is obtained, and the second time stamp of the lightning wave is determined according to the propagation time and the receiving time.

[0023] In an implementation, the first lightning position and the second lightning position are analyzed to determine the distance difference value, comprising:

[0024] If the second monitoring data is lower than the data positioned by the three detection sub-stations, the distance difference value is 0;

[0025] If the second monitoring data is not lower than the data positioned by the three detection sub-stations, the distance difference value is calculated according to the distance difference formula.

[0026] The second aspect of the application provides a lightning stroke whole process data processing device for a power transmission line, the device comprising:

[0027] A monitoring data acquisition module is configured to acquire first monitoring data recorded by a lightning positioning system in a time window of lightning activity, second monitoring data recorded by a distributed traveling wave device in the time window of lightning activity, and third monitoring data recorded by a fault recording device in the time window of lightning activity.

[0028] A data elimination module is configured to inversely calculate the first monitoring data and the second monitoring data by using a light speed inversion algorithm to obtain a time difference value and a distance difference value between the distributed traveling wave device and the lightning positioning system, eliminate part of the monitoring data in the second monitoring data that does not conform to the time difference value and / or the distance difference value, and obtain fourth monitoring data.

[0029] A time sequence construction module is configured to sort the timestamps of the first monitoring data, the third monitoring data and the fourth monitoring data in a time window in sequence to obtain a time sequence of the lightning event.

[0030] A data processing module is configured to process the first monitoring data, the third monitoring data and the fourth monitoring data according to the time sequence to obtain monitoring data of the whole lightning process.

[0031] In a third aspect, the present application provides an electronic device, which comprises a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the power line lightning whole process data processing method according to the first aspect of the present application.

[0032] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, wherein the computer program, when executed by a processor, implements the steps of the power line lightning whole process data processing method according to the first aspect of the present application.

[0033] Compared with the prior art, the present application has the following beneficial effects:

[0034] The power line lightning whole process data processing method provided by the present application can verify the deficiencies between single devices by using the lightning positioning system and the time reversal and time synchronization technology of the distributed traveling wave device, thereby reducing the probability of insufficient characteristic quantity and missed lightning judgment by the single device, and further improving the effectiveness and accuracy of the monitoring data. Based on the time sequence of the lightning event, the lightning positioning system, the distributed traveling wave distance measurement device and the transformer substation fault recording are fused, the fusion and mutual compensation of lightning data from different sources are realized, more perfect data for more intuitive understanding of lightning characteristics are provided, and the line voltage change and current change caused by the discharge mechanism of lightning activity are intuitively reflected. BRIEF DESCRIPTION OF DRAWINGS

[0035] The accompanying drawings, which are included to provide a further understanding of the embodiments of the present application and constitute a part of the application, do not constitute a limitation to the embodiments of the present application. In the drawings:

[0036] Figure 1 A flowchart of the power line lightning whole process data processing method provided by the present application;

[0037] Figure 2 A principle block diagram of the power line lightning whole process data processing device provided by the present application;

[0038] Figure 3A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0039] In order to make the objectives, technical solutions and advantages of the present application clearer, further detailed description will be given to the present application in combination with embodiments and drawings, and the illustrative embodiments of the present application and the description thereof are only used to explain the present application and do not limit the present application.

[0040] It should be noted that the term "include" or "may include" used in various embodiments of the present application indicates the existence of the applied function, operation or element, and does not limit the addition of one or more functions, operations or elements. In addition, as used in various embodiments of the present application, the terms "include", "have" and their synonyms only mean to indicate specific features, numbers, steps, operations, elements, components or combinations of the foregoing, and should not be understood as first excluding the existence or addition of one or more other features, numbers, steps, operations, elements, components or combinations of the foregoing or the possibility of adding one or more features, numbers, steps, operations, elements, components or combinations of the foregoing.

[0041] It should be understood that terms such as "first", "second" are only used for description purposes and should not be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0042] Reference is made to Figure 1 , Figure 1 A flowchart of a lightning stroke whole-process data processing method for an embodiment of the present application is shown in the figure, as shown in the figure, the method comprises: Figure 1

[0043] S101, acquiring first monitoring data recorded by a lightning positioning system in a time window of lightning activity, second monitoring data recorded by a distributed traveling wave device in the time window of lightning activity, and third monitoring data recorded by a fault recording device in the time window of lightning activity.

[0044] In the present embodiment, it should be noted that the lightning positioning system, the distributed traveling wave device and the fault recording device are currently mature data monitoring devices, therefore, the working principle of the present embodiment will not be described in detail.

[0045] ​Secondly, before obtaining the monitoring data of these devices, the lightning location system, the distributed traveling wave device and the substation fault recording device are time corrected to keep the accuracy of the 1 microsecond data of the precise time. The time correction is an important preparation work, and the purpose is to ensure that the time stamp of all monitoring data can accurately reflect a common time reference. If there is a time deviation between different devices, the time stamp offset is used to ensure the consistency of the final monitoring data.

[0046] Assuming that the time window is [T1, T2], the lightning location system queries the lightning activity information of the lightning line, obtains the lightning current information contained in the time window [T1, T2] of the lightning activity, and records it as N1, N2, N3, … Nn. Each lightning current information includes time, lightning current amplitude, position coordinates (latitude and longitude), waveform, etc. The fault recording device queries the fault recording data started in the time window [T1, T2], and identifies the lightning pulse in the voltage waveform corresponding to the transmission line, including time, voltage amplitude, etc. The distributed traveling wave device corresponding to the transmission line records the distributed traveling wave data waveform of the fault in the time window [T1, T2], including time, traveling wave current amplitude, waveform, etc. And keep the time format conversion to a unified time format.

[0047] S102, the light speed inversion algorithm is used to inversely calculate the first monitoring data and the second monitoring data, to obtain the time difference and distance difference between the distributed traveling wave device and the lightning location system, to eliminate part of the monitoring data in the second monitoring data that does not conform to the time difference and / or distance difference, and to obtain the fourth monitoring data.

[0048] In this embodiment, the time of the lightning behavior captured by the lightning location system and the distributed device system data is applied to the light speed inversion algorithm, and the time stamp of the lightning wave received by different devices at the same space point is inversely calculated, to realize the time inversion of respective data. Secondly, it also needs to be explained that because the fault recording device has a low sampling rate, generally 4000Hz-20000Hz, and the sampling point interval time is 50μs-250μs, the lightning current time does not need to be inverted. The fault recording data started by querying the time window [T1, T2] identifies the lightning pulse in the voltage waveform corresponding to the transmission line, records the time and voltage amplitude, and serves as a supplement to the data of the lightning location system and the distributed traveling wave device.

[0049] Specifically, the process of obtaining the fourth monitoring data is as follows: S1021, the time at which the lightning stroke point is captured by the distributed traveling wave device is determined according to the second monitoring data, the time is inversely calculated by using the light speed inversion algorithm, and the first time stamp at which the lightning wave is received by different distributed traveling wave devices and the first lightning position are obtained; S1022, the longitude and latitude coordinates of the lightning stroke point captured by the detection substation are queried from the original database recorded by the lightning positioning system by using the first time stamp, the longitude and latitude coordinates are inversely calculated by using the light speed inversion algorithm, and the second time stamp at which the lightning wave is received by the lightning positioning system and the second lightning position are obtained; S1023, the time difference value is determined by analyzing the first time stamp and the second time stamp, the distance difference value is determined by analyzing the first lightning position and the second lightning position, the part of the monitoring data in the second monitoring data that does not conform to the time difference value and / or the distance difference value is eliminated, and the fourth monitoring data is obtained.

[0050] In the embodiment, the second monitoring data is calculated in a double-ended ranging or single-ended ranging manner to determine the time at which the lightning stroke point is captured by the distributed traveling wave device.

[0051] For example, for a power transmission line, if double-ended ranging is used, the initial traveling wave after lightning stroke at point A (any point on the power transmission line) propagates along the line to point M and point N, the time at which the initial traveling wave propagates to the distributed traveling wave device at point M on one side of the line is recorded as t1, and the time at which the initial traveling wave propagates to the distributed traveling wave device at point N on the other side of the line is recorded as t2, the distance of the lightning stroke point can be obtained according to the double-ended ranging formula, and thus the first time stamp t0 of the lightning stroke wave can be obtained.

[0052] It can be understood that the calculation formula of the double-ended ranging formula for calculating the distance of the lightning stroke point is:

[0053] v represents, L represents;

[0054]

[0055] If single-ended ranging is used, the initial traveling wave after lightning stroke at point A propagates along the line to point M, the time at which the initial traveling wave arrives at the distributed traveling wave device at point M is recorded as t1, and then the traveling wave will arrive at point A again through reflection, the time at which the traveling wave arrives at point M after reflection at point A is recorded as t2, the distance of the lightning stroke point from point M and the first time stamp t0 of the lightning stroke wave can be obtained.

[0056] Specifically, the calculation formula of the distance of the lightning stroke point from point M is The calculation formula of the first time stamp t0 of the lightning stroke wave is

[0057] Secondly, the lightning positioning system detects electromagnetic field signals through multiple detection sub-stations, and obtains lightning strike time, lightning strike polarity, lightning current amplitude, position coordinates (latitude and longitude), waveform, etc. through the center station processing and algorithm. Generally, three or more detection stations are considered to be effective, but the lightning detection in mountainous areas is affected by precision, and often cannot reach three stations of data, resulting in some data not participating in calculation, causing lightning positioning system to miss some data.

[0058] Therefore, if the lightning current data is lower than the three-station positioning data, in order to ensure the integrity of the lightning strike data, the first timestamp t0 obtained by the distributed device inversion is used to query the original database of the lightning positioning system to obtain the data characteristics (such as lightning strike time, lightning strike polarity, lightning current amplitude, position coordinates, waveform, etc.) generated by lightning activity, and the light speed inversion algorithm is applied to reversely calculate the second timestamp t1 of the lightning wave received at different detection sub-stations, realizing data time inversion, which is as follows:

[0059] According to the first lightning position and latitude and longitude coordinates, the reference quantity is calculated; according to the reference quantity and the radius of the earth, the distance from the detection sub-station to the lightning point is calculated; according to the distance from the detection sub-station to the lightning point, the propagation time of the lightning current propagation to the detection sub-station is calculated; the receiving time of the detection sub-station receiving the lightning current is obtained, and the second timestamp of the lightning wave is determined according to the propagation time and the receiving time.

[0060] Specifically, the latitude and longitude coordinates of each detection sub-station are (Xn, Yn), and the lightning current activity position obtained by the distributed device inversion is (x, y). The distance between the detection sub-station and the lightning point is calculated using the radius of the earth:

[0061] Ln=R×cos -1 (D);

[0062] D=sin(Xn)·sin(x)·cos(Xn-x)+cos(Yn)·cos(y);

[0063] Where: R is the radius of the earth, and D is the reference quantity.

[0064] According to the principle of electromagnetic wave light speed transmission, the propagation time of the lightning current propagation to each sub-station is obtained:

[0065] The receiving time of each sub-station receiving the lightning current is tn, and the second timestamp of the lightning wave is tl=tn-△tn.

[0066] If the lightning current monitoring has three or more positioning data, the second timestamp of the lightning wave calculated by the center station of the lightning positioning system is adopted.

[0067] Finally, the first lightning location and the second lightning location are analyzed to determine a distance difference, including: if the second monitoring data is lower than the data positioned by the three detection sub-stations, the distance difference is 0; if the second monitoring data is not lower than the data positioned by the three detection sub-stations, the distance difference is calculated according to a distance difference formula.

[0068] Specifically, the distance between the first lightning location (x, y) positioned by the distributed traveling wave device and the second lightning location (xl, yl) positioned by the lightning positioning system is compared, and is recorded as △xy. If the value of △xy is large, it does not belong to the lightning stroke process. If the data of the lightning positioning system detection station is less than three stations, △xy = 0. If the data of the lightning positioning system detection station is greater than three stations, the value is calculated as follows:

[0069] The implementation of removing part of the data in the second monitoring data is as follows: the data from the lightning positioning system and the distributed traveling wave device in the time window [T1, T2] is cleaned, redundant data is removed, and then K-means algorithm is used for clustering. A two-dimensional plane coordinate is constructed by using the time difference △t0l and the distance difference △xy of the lightning positioning system and the distributed device, and the number of detection stations participating in the lightning positioning data is used as the z-axis for three-dimensional clustering. In this way, the time difference and the distance difference of the lightning positioning system data and the distributed traveling wave device data positioning the same lightning data can be obtained. If the time difference and the distance difference are smaller, the number of detection sub-stations participating is more, and it is considered that the confidence of the lightning of different devices is higher. Through clustering, abnormal data can be removed, and data with △t0l greater than 20 microseconds and △xy greater than 6 km can be removed from the second monitoring data.

[0070] In summary, by using the time reversal and time synchronization technology of the lightning positioning system and the distributed traveling wave device, the shortcomings between single devices can be verified, the probability of insufficient characteristic quantity and missed lightning judgment by single device is reduced, and the effectiveness and accuracy of the monitoring data are improved.

[0071] S103, the time stamps of the first monitoring data, the third monitoring data and the fourth monitoring data are sorted in time window to obtain the time sequence of the lightning event.

[0072] In this embodiment, based on the time sequence of the lightning event, the lightning positioning system, the distributed traveling wave ranging device and the fault recording of the transformer substation are fused, the fusion and mutual compensation of lightning data from different sources are realized, more perfect data for more intuitive understanding of lightning characteristics are provided, and the line voltage change and current change caused by the discharge mechanism of lightning activity are intuitively reflected.

[0073] S104. The first, third, and fourth monitoring data are processed according to the time series to obtain monitoring data for the entire lightning strike process.

[0074] In this embodiment, the data processing methods include matching, reconstruction, and filling. The data for matching, reconstruction, and filling includes, but is not limited to, the following: the lightning current amplitude, north and south magnetic field wavefront time and half-peak time, electric field wavefront time and half-peak time peak value of the lightning location system, the traveling wave current amplitude, traveling wave current wavefront time, and half-peak time of the distributed traveling wave device, and the fault recording voltage amplitude.

[0075] The following explains matching, reconstruction, and filling. The data reconstruction process may result in a large amount of missing data. For missing data from lightning location systems and distributed devices, the existing data from both are used to fill the missing data using a neural network prediction model.

[0076] A neural network training library is constructed using lightning location system data and distributed existing data from the same line. The data is first standardized and used as the input layer of the neural network, with 10 neurons in the input layer.

[0077] Data scaling:

[0078] Then, the scaled-up data is standardized.

[0079] The inverse transformation of standardized data is:

[0080] The number of neurons in the hidden layer is determined by the following formula:

[0081] The sigmid function was used as the activation function for training the data samples.

[0082] After training and iteration, an initial inversion model between lightning location system and distributed device data is obtained. The model's correctness is then verified using data. This trained model can then be used to invert lightning location system and distributed device data, and to predict missing data in these areas.

[0083] For substation fault recording devices with missing data, linear regression is used to train the existing distributed device current amplitude, the distance of the lightning strike point from the substation, and the substation voltage amplitude to obtain their relationships. Then, existing distributed data from the same line is used to fill in the missing data in the substation fault recording data. By filling in and reconstructing missing data from different sources, the entire process of lightning activity is improved, thereby gaining a deeper understanding of the characteristics of lightning current and its effects on spatial electromagnetic fields, electric fields, line voltage, and current in different dimensions.

[0084] Please refer to Figure 2 , Figure 2 A schematic diagram of a data processing device for the entire process of lightning strikes on transmission lines, provided in an embodiment of the present invention, is shown below. Figure 2 As shown, the device includes:

[0085] The monitoring data acquisition module 210 is used to acquire the first monitoring data recorded by the lightning location system during the time window of lightning activity, the second monitoring data recorded by the distributed traveling wave device during the time window of lightning activity, and the third monitoring data recorded by the fault recording device during the time window of lightning activity.

[0086] The data removal module 220 is used to reverse calculate the first monitoring data and the second monitoring data using the light speed inversion algorithm to obtain the time difference and distance difference between the distributed traveling wave device and the lightning positioning system, and remove the monitoring data in the second monitoring data that does not conform to the time difference and / or distance difference to obtain the fourth monitoring data.

[0087] The time series construction module 230 is used to sort the timestamps of the first monitoring data, the third monitoring data and the fourth monitoring data in sequence within a time window to obtain the time series of lightning events.

[0088] The data processing module 240 is used to process the first monitoring data, the third monitoring data and the fourth monitoring data according to the time series to obtain monitoring data of the entire lightning strike process.

[0089] Please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device 300 includes a processor 310, a memory 320, a communication interface 330, and at least one communication bus for connecting the processor 310, the memory 320, and the communication interface 330. The memory 320 includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (PROM), or portable read-only memory (CD-ROM), and is used for related instructions and data.

[0090] The communication interface 330 is used to receive and send data. The processor 310 can be one or more CPUs. If the processor 310 is a single CPU, it can be a single-core CPU or a multi-core CPU. The processor 310 in the electronic device 300 is used to read one or more programs 321 stored in the memory 320 and perform the following operations: acquire the first monitoring data recorded by the lightning location system within the time window of lightning activity, the second monitoring data recorded by the distributed traveling wave device within the time window of lightning activity, and the third monitoring data recorded by the fault recording device within the time window of lightning activity; use the light speed inversion algorithm to reverse calculate the first and second monitoring data to obtain the time difference and distance difference between the distributed traveling wave device and the lightning location system, and remove the monitoring data in the second monitoring data that does not conform to the time difference and / or distance difference to obtain the fourth monitoring data; sort the timestamps of the first, third, and fourth monitoring data in sequence within the time window to obtain the time sequence of the lightning event; process the first, third, and fourth monitoring data according to the time sequence to obtain the monitoring data of the entire lightning strike process.

[0091] It should be noted that the specific implementation of each operation can be described above. Figure 1 The corresponding description of the method embodiment shown indicates that the electronic device 300 can be used to execute a data processing method for the entire process of lightning strikes on transmission lines according to the above method embodiment of this application, which will not be described in detail here.

[0092] This application also provides a computer-readable storage medium, which is a memory device in a computer device for storing programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the operating system of the terminal. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the above-described method for processing data of the entire process of lightning strikes on a power transmission line. Those skilled in the art should understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for processing data on the entire process of lightning strikes on transmission lines, characterized in that, The methods include: Acquire the first monitoring data recorded by the lightning location system during the lightning activity time window, the second monitoring data recorded by the distributed traveling wave device during the lightning activity time window, and the third monitoring data recorded by the fault recording device during the lightning activity time window. The first and second monitoring data are back-calculated using a light-speed inversion algorithm to obtain the time difference and distance difference between the distributed traveling wave device and the lightning location system. Parts of the second monitoring data that do not conform to the time difference and / or distance difference are then removed to obtain the fourth monitoring data. The process of obtaining the fourth monitoring data is as follows: Based on the second monitoring data, the time when the distributed traveling wave device captured the lightning strike point is determined. The time is back-calculated using the light-speed inversion algorithm to obtain the first timestamp and the first lightning location of the lightning wave received by different distributed traveling wave devices. Using the first timestamp, the latitude and longitude coordinates of the lightning strike point captured by the detection substation are retrieved from the original database recorded by the lightning location system. The latitude and longitude coordinates are then back-calculated using the light-speed inversion algorithm. The system obtains the second timestamp and second lightning location of the lightning wave received by the lightning location system; analyzes the first and second timestamps to determine the time difference, analyzes the first and second lightning locations to determine the distance difference, and removes monitoring data that does not meet the time difference and / or distance difference to obtain the fourth monitoring data; before using the speed of light inversion algorithm to reverse calculate the latitude and longitude coordinates to obtain the second timestamp of the lightning wave received by the lightning location system, it is determined whether the second monitoring data is lower than the data located by the three detection substations. If it is lower, the speed of light inversion algorithm is used to reverse calculate the latitude and longitude coordinates; if it is not lower, the lightning current time calculated by the central station of the lightning location system is used as the second timestamp of the lightning wave. The second timestamp of the lightning wave received by the lightning location system is obtained by reverse calculation of the latitude and longitude coordinates using the speed of light inversion algorithm. This includes: calculating a reference quantity based on the first lightning location and latitude and longitude coordinates; calculating the distance from the detection substation to the lightning strike point based on the reference quantity and the Earth's radius; calculating the propagation time of the lightning current to the detection substation based on the distance from the detection substation to the lightning strike point; obtaining the reception time of the lightning current received by the detection substation; and determining the second timestamp of the lightning wave based on the propagation time and reception time. Within a time window, the timestamps of the first, third, and fourth monitoring data are sorted sequentially to obtain the time series of lightning events. The first, third, and fourth monitoring data are processed based on the time series to obtain monitoring data for the entire lightning strike process.

2. The method according to claim 1, characterized in that, Before acquiring the first monitoring data, the second monitoring data, and the third monitoring data, the method further includes: performing time correction on the lightning location system, the distributed traveling wave device, and the substation fault recording device.

3. The method according to claim 1, characterized in that, The time when the distributed traveling wave device captures the lightning strike point is determined based on the second monitoring data, including: calculating the second monitoring data using a dual-end ranging or single-end ranging method to determine the time when the distributed traveling wave device captures the lightning strike point.

4. The method according to claim 1, characterized in that, Analyze the locations of the first and second lightning strikes to determine the distance difference, including: If the second monitoring data is lower than the data located by the three detection substations, the distance difference is 0; If the second monitoring data is not lower than the data located by the three detection substations, the distance difference is calculated according to the distance difference formula.

5. A data processing device for the entire process of lightning strikes on transmission lines, characterized in that, The device includes: The monitoring data acquisition module is used to acquire the first monitoring data recorded by the lightning location system during the lightning activity time window, the second monitoring data recorded by the distributed traveling wave device during the lightning activity time window, and the third monitoring data recorded by the fault recording device during the lightning activity time window. The data removal module is used to reverse-calculate the first and second monitoring data using a light-speed inversion algorithm to obtain the time difference and distance difference between the distributed traveling wave device and the lightning location system. It removes monitoring data from the second monitoring data that does not conform to the time difference and / or distance difference, obtaining the fourth monitoring data. The process of obtaining the fourth monitoring data is as follows: Based on the second monitoring data, the time when the distributed traveling wave device captured the lightning strike point is determined. The time is then reverse-calculated using a light-speed inversion algorithm to obtain the first timestamp and the first lightning location of the lightning wave received by different distributed traveling wave devices. Using the first timestamp, the latitude and longitude coordinates of the lightning strike point captured by the detection substation are retrieved from the original database recorded by the lightning location system. The latitude and longitude coordinates are then processed using a light-speed inversion algorithm. The process involves reverse calculation to obtain the second timestamp and second lightning location of the lightning wave received by the lightning location system. Analyzing the first and second timestamps, the time difference is determined. Analyzing the first and second lightning locations, the distance difference is determined. Data that does not conform to the time difference and / or distance difference is discarded from the second monitoring data to obtain the fourth monitoring data. Before using the light-speed inversion algorithm to reverse calculate the latitude and longitude coordinates and obtain the second timestamp of the lightning wave received by the lightning location system, it is determined whether the second monitoring data is lower than the data from the three detection substations. If it is lower, the light-speed inversion algorithm is used to reverse calculate the latitude and longitude coordinates. If it is not lower, the lightning current time calculated by the central station of the lightning location system is used as the second timestamp to determine the lightning wave. The second timestamp of the lightning wave received by the lightning location system is obtained by reverse calculation of the latitude and longitude coordinates using the speed of light inversion algorithm. This includes: calculating a reference quantity based on the first lightning location and latitude and longitude coordinates; calculating the distance from the detection substation to the lightning strike point based on the reference quantity and the Earth's radius; calculating the propagation time of the lightning current to the detection substation based on the distance from the detection substation to the lightning strike point; obtaining the reception time of the lightning current received by the detection substation; and determining the second timestamp of the lightning wave based on the propagation time and reception time. The time series construction module is used to sort the timestamps of the first, third, and fourth monitoring data within a time window to obtain the time series of lightning events. The data processing module is used to process the first, third, and fourth monitoring data according to the time series to obtain monitoring data of the entire lightning strike process.

6. An electronic device, characterized in that, The electronic device includes a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, it implements the steps of a data processing method for the entire process of lightning strikes on transmission lines as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, it implements the steps of a data processing method for the entire process of lightning strikes on transmission lines as described in any one of claims 1 to 4.

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