Power transmission line lightning stroke whole process data processing method, device, equipment and medium

Abstract

The invention discloses a power transmission line lightning stroke whole process data processing method, device, equipment and medium, and relates to the field of power transmission line lightning stroke monitoring, and the method comprises the steps: obtaining first monitoring data, second monitoring data and third monitoring data recorded by a lightning positioning system, a distributed traveling wave device and a fault recording device in a lightning activity time window; performing reverse calculation on the first monitoring data and the second monitoring data by adopting a light velocity inversion algorithm to obtain a time difference value and a distance difference value between the distributed traveling wave device and the lightning positioning system, and removing part of monitoring data which does not conform to the time difference value and / or the distance difference value in the second monitoring data to obtain fourth monitoring data; the timestamps of the first monitoring data, the third monitoring data and the fourth monitoring data are sequenced in sequence in the time window, and a time sequence of thunder and lightning events is obtained; and processing 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 stroke process.

Description

Technical Field

[0001] The present invention relates to the field of transmission line lightning strike monitoring, and more specifically, to a method, device, equipment and medium for processing data of the entire lightning strike process of a transmission line. Background Art

[0002] Lightning disasters have long been the primary factor causing transmission line failures. Currently, the main methods for lightning analysis include lightning location, atmospheric electric field monitoring, satellite lightning monitoring, and meteorological radar thunderstorm monitoring.

[0003] Among them, lightning positioning is to form a wide-area lightning positioning system by deploying multiple lightning detection substations within a range of hundreds to thousands of kilometers. The magnetic orientation method, the arrival time difference method, and the time difference orientation hybrid method are often used to achieve 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 parameter randomness of lightning, lightning data is often missed or misjudged, resulting in the inability to determine whether it is a lightning fault. The distributed traveling wave device is a device installed on the conductor of the transmission line for fault positioning. It monitors the current changes of the line in real time and captures the transient instantaneous waveform. By analyzing the propagation characteristics of the traveling wave, it can be used to determine the nature of the lightning. Whether the wave tail time is greater than 20 microseconds is used to determine whether it is a lightning fault. However, due to the influence of the distance of the lightning strike point, the characteristics of the lightning channel, and the influence of the attenuation characteristics of the lightning current propagation in the transmission line, the traveling wave waveform has a large difference, and it often makes a wrong judgment of whether it is a lightning fault. Substation fault recording is a state technology used in power system monitoring and diagnosis. It is used to record the voltage, current, frequency and other characteristics of the power system under disturbance, operation and fault conditions. However, the sampling rate of fault recording is generally between 4000Hz and 20000Hz. Due to the limitations of resolution and the impact of the voltage transformer's response under impulse, it is impossible to fully record lightning current or the lightning current characteristics are incomplete.

[0004] In summary, how to improve the accuracy and effectiveness of lightning strike data is an urgent problem that needs to be solved. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device, equipment and medium for processing data of the entire lightning strike process of a power transmission line, so as to solve the problem that the accuracy and effectiveness of lightning strike data are both low.

[0006] A first aspect of the present invention provides a method for processing data of the entire lightning strike process of a power transmission line, the method comprising:

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

[0008] The first monitoring data and the second monitoring data are reversely calculated using a light speed inversion algorithm to obtain a time difference and a distance difference between the distributed traveling wave device and the lightning locating system, and part of the second monitoring data that does not meet the time difference and / or the distance difference is eliminated to obtain fourth monitoring data;

[0009] The time stamps of the first monitoring data, the third monitoring data and the fourth monitoring data are sequentially sorted within the time window to obtain a time series of the lightning event;

[0010] The first monitoring data, the third monitoring data and the fourth monitoring data are processed according to the time series to obtain the monitoring data of the whole process of lightning strike.

[0011] In an implementation, 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.

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

[0013] Determine the time when the distributed traveling wave device captures the lightning strike point according to the second monitoring data, use the light speed inversion algorithm to reversely calculate the time, and obtain the first timestamp and the first lightning position when different distributed traveling wave devices receive the lightning wave;

[0014] The first timestamp is used to query the latitude and longitude coordinates of the lightning strike point captured by the detection substation from the original database recorded by the lightning location system, and the light speed inversion algorithm is used to reversely calculate the latitude and longitude coordinates to obtain the second timestamp and the second lightning position of the lightning location system receiving the lightning wave;

[0015] Analyze the first timestamp and the second timestamp to determine the time difference, analyze the first lightning position and the second lightning position to determine the distance difference, and eliminate some monitoring data in the second monitoring data that do not meet the time difference and / or distance difference to obtain the fourth monitoring data.

[0016] In one implementation, determining the time when the distributed traveling wave device captures the lightning point based on the second monitoring data includes: calculating the second monitoring data using a double-end ranging method or a single-end ranging method to determine the time when the distributed traveling wave device captures the lightning strike point.

[0017] In one implementation scheme, before using the speed of light inversion algorithm to reversely calculate the longitude and latitude coordinates to obtain the second timestamp of the lightning location system receiving the lightning wave, it is determined whether the second monitoring data is lower than the data located by the three detection substations. If so, the speed of light inversion algorithm is used to reversely calculate the longitude and latitude coordinates. If not, the lightning current time calculated by the central station of the lightning location system is used as the second timestamp for determining the lightning wave.

[0018] In one implementation, the light speed inversion algorithm is used to reversely calculate the longitude and latitude coordinates to obtain a second timestamp of the lightning location system receiving the lightning wave, including:

[0019] Calculate a reference quantity according to the first lightning position and longitude and latitude coordinates;

[0020] Calculate the distance from the detection substation to the lightning strike point based on the reference quantity and the earth radius;

[0021] The propagation time of the lightning current to the detection substation is calculated based on the distance from the detection substation to the lightning strike point;

[0022] The receiving time when the detection substation receives the lightning current is obtained, and the second timestamp of the lightning wave is determined according to the propagation time and the receiving time.

[0023] In one implementation, analyzing the first lightning position and the second lightning position to determine the distance difference includes:

[0024] If the second monitoring data is lower than the data located by the three detection substations, the distance difference is 0;

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

[0026] A second aspect of the present invention provides a data processing device for the entire lightning strike process of a power transmission line, the device comprising:

[0027] A monitoring data acquisition module, used to acquire first monitoring data recorded by the lightning location system in the time window of lightning activity, second monitoring data recorded by the distributed traveling wave device in the time window of lightning activity, and third monitoring data recorded by the fault recording device in the time window of lightning activity;

[0028] A data elimination module is used to reversely calculate the first monitoring data and the second monitoring data using a light speed inversion algorithm to obtain a time difference and a distance difference between the distributed traveling wave device and the lightning locating system, and to eliminate part of the second monitoring data that does not meet the time difference and / or the distance difference to obtain fourth monitoring data;

[0029] A time series construction module is used to sort the timestamps of the first monitoring data, the third monitoring data and the fourth monitoring data in the time window to obtain a time series of lightning events;

[0030] The data processing module is used to process the first monitoring data, the third monitoring data and the fourth monitoring data according to the time series to obtain the monitoring data of the whole process of lightning strike.

[0031] According to a third aspect of the present invention, an electronic device is provided, comprising 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, the steps of a method for processing data of the entire process of lightning strikes on power transmission lines as provided in the first aspect of the present invention are implemented.

[0032] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of a method for processing data of the entire process of lightning strikes on a transmission line as provided in the first aspect of the present invention are implemented.

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

[0034] The embodiment of the present invention provides a method for processing data of the entire lightning strike process on a power transmission line. The method can mutually verify the deficiencies between single devices by utilizing the time inversion and time synchronization technology of a lightning location system and a distributed traveling wave device, thereby reducing the probability of insufficient characteristic quantities of a single device and missed lightning, thereby improving the validity and accuracy of monitoring data. Based on the time series of the lightning event, the lightning location system, the distributed traveling wave ranging device and the substation fault recording are integrated to achieve the integration and mutual compensation of lightning data from different sources, providing more complete data for a more intuitive understanding of lightning characteristics, and intuitively reflecting the line voltage changes and current changes caused by the discharge mechanism of lightning activity. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0036] Figure 1 A schematic flow chart of a method for processing data of the entire lightning strike process of a power transmission line provided by an embodiment of the present invention;

[0037] Figure 2 A principle block diagram of a data processing device for the entire lightning strike process of a power transmission line provided by an embodiment of the present invention;

[0038] Figure 3A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0040] It should be noted that the terms "include" or "may include" used in various embodiments of the present application indicate the presence of the function, operation or element applied for, and do 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 cognates are only intended to indicate specific features, numbers, steps, operations, elements, components or a combination of the foregoing items, and should not be understood as first excluding the presence of one or more other features, numbers, steps, operations, elements, components or a combination of the foregoing items or the possibility of adding one or more features, numbers, steps, operations, elements, components or a combination of the foregoing items.

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

[0042] Please refer to Figure 1 , Figure 1 A schematic diagram of a method for processing data of the entire lightning strike process of a transmission line provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the method includes:

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

[0044] In this embodiment, it should be noted that the lightning location system, the distributed traveling wave device and the fault recording device are currently mature data monitoring devices, so this embodiment does not describe their working principles in detail.

[0045] Secondly, before acquiring the monitoring data of these devices, the lightning location system, distributed traveling wave device and substation fault recording device are time-calibrated to maintain the accuracy of the precise time to 1 microsecond. Time calibration is an important preparatory work to ensure that the timestamps of all monitoring data can accurately reflect a common time reference. If there is a time deviation between different devices, the timestamp offset is used to ensure the consistency of the final monitoring data.

[0046] Assuming the time window is [T1, T2], the lightning activity information of the lightning-struck line is queried in the lightning location system, and the lightning current information contained in the time window [T1, T2] of the lightning activity is obtained, which is recorded as N1, N2, N3, ... Nn. Each lightning current information includes time, lightning current amplitude, position coordinates (latitude and longitude), waveform, etc. The fault recording data started by the time window [T1, T2] is queried in the fault recording device, and the lightning pulse is identified from the voltage waveform characteristics of the corresponding transmission line, including time, voltage amplitude, etc. The distributed traveling wave data waveform of the fault recorded in the time window [T1, T2] is queried in the distributed traveling wave device of the corresponding transmission line, including time, traveling wave current amplitude, waveform, etc. And the time format is maintained and converted to a unified time format.

[0047] S102, using the speed of light inversion algorithm to reversely 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 locating system, and to eliminate part of the second monitoring data that does not conform to the time difference and / or distance difference, to obtain fourth monitoring data.

[0048] In this embodiment, the time when the lightning location system and the distributed device system data capture the lightning behavior is used to apply the light speed inversion algorithm to reversely calculate the timestamps of different devices receiving lightning waves at the same spatial point, thereby realizing the time inversion of each data. Secondly, it should also be noted that due to the low adoption rate of fault recording devices, the general sampling rate is 4000Hz-20000Hz, and the sampling point interval is 50μs-250μs, so the lightning current time does not need to be inverted. By querying the fault recording data started by the time window [T1, T2], the lightning pulse is identified from the voltage waveform characteristics of the corresponding transmission line, and the time and voltage amplitude are recorded 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, determining the time when the distributed traveling wave device captures the lightning strike point based on the second monitoring data, and using the speed of light inversion algorithm to reversely calculate the time, and obtaining the first timestamp and the first lightning position when different distributed traveling wave devices receive the lightning wave; S1022, using the first timestamp to query the longitude and latitude coordinates of the lightning strike point captured by the detection substation from the original database recorded by the lightning locating system, and using the speed of light inversion algorithm to reversely calculate the longitude and latitude coordinates, to obtain the second timestamp and the second lightning position when the lightning locating system receives the lightning wave; S1023, analyzing the first timestamp and the second timestamp to determine the time difference, analyzing the first lightning position and the second lightning position to determine the distance difference, and eliminating part of the monitoring data that does not meet the time difference and / or distance difference in the second monitoring data to obtain the fourth monitoring data.

[0050] In this embodiment, the second monitoring data is calculated by using a double-end ranging method or a single-end ranging method to determine the time when the distributed traveling wave device captures the lightning strike point.

[0051] For example, for a transmission line, if double-end ranging is used, the initial traveling wave after a lightning strike at point A (any point in the transmission line) is transmitted along points M and N along the line. The time it takes to propagate to point M of the distributed traveling wave device on one side along the line is recorded as t1, and the time it takes to propagate to point N of the distributed traveling wave device on the other side is recorded as t2. According to the double-end ranging formula, the distance to the lightning strike point can be obtained, thereby obtaining the first timestamp t0 of the lightning strike wave.

[0052] It can be understood that the double-end distance measurement formula for calculating the distance to the lightning strike point is:

[0053] v indicates, L indicates;

[0054]

[0055] If single-ended ranging is used, the initial traveling wave after the lightning strike at point A is transmitted along the line point. The time when the initial traveling wave arrives at the distributed traveling wave device point M is recorded as t1. The traveling wave will then be reflected and reach point A again. The time when it reaches point M after reflection at point A is recorded as t2. The distance from the lightning strike point to M and the first timestamp t0 of the lightning wave can be obtained.

[0056] Specifically, the distance between the lightning strike point and M is calculated as follows: The calculation formula of the first timestamp t0 of the lightning wave is:

[0057] Secondly, the lightning location system detects electromagnetic field signals through multiple detection substations. After processing by the central station, the lightning strike time, lightning strike polarity, lightning current amplitude, position coordinates (latitude and longitude), waveform, etc. can be obtained through algorithms. It is generally believed that the positioning data of three or more detection stations is valid, but lightning detection in mountainous areas is affected by accuracy and often cannot reach three-station data, resulting in some data failing to participate in the calculation, causing the lightning location system to miss a disk.

[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 inverted by the distributed device is used to query the original database of the lightning positioning system to obtain the data characteristics of lightning activity (such as lightning strike time, lightning strike polarity, lightning current amplitude, position coordinates, waveform, etc.), and the light speed inversion algorithm is applied to reversely calculate the second timestamp t1 of the lightning wave received at different detection substations to achieve data time inversion. The inversion is as follows:

[0059] According to the first lightning position and longitude and latitude coordinates, a reference quantity is calculated; according to the reference quantity and the radius of the earth, the distance from the detection substation to the lightning strike point is calculated; according to the distance from the detection substation to the lightning strike point, the propagation time of the lightning current to the detection substation is calculated; the reception time when the detection substation receives the lightning current is obtained, and the second timestamp of the lightning wave is determined according to the propagation time and the reception time.

[0060] Specifically, the longitude and latitude coordinates of each detection substation are (Xn, Yn), the lightning current activity position obtained by the distributed device inversion is (x, y), and the distance Ln between the detection substation and the lightning strike 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] Through the principle of electromagnetic wave propagation at the speed of light, the propagation time △tn of lightning current to each substation is obtained:

[0065] The receiving time tn when each substation receives the lightning current, then the second timestamp of the lightning wave tl=tn-Δtn.

[0066] If the lightning current monitoring has three or more station positioning data, the second timestamp t1 of the lightning wave calculated by the central station of the lightning positioning system is used.

[0067] Finally, the first lightning position and the second lightning position are analyzed 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.

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

[0069] The implementation method of removing some data from the second monitoring data is as follows: clean the data from the lightning positioning system and the distributed traveling wave device in the time window [T1, T2], remove redundant data, cluster the data using the K-means algorithm, use the time difference △t0l and distance difference △xy between the lightning positioning system and the distributed device to construct two-dimensional plane coordinates, and then use the number of detection stations participating in the lightning positioning data as the z-axis for three-dimensional clustering, so that the time difference and distance difference of the lightning positioning system data and the distributed traveling wave device data for the same lightning data can be obtained. Among them, if the time difference and the distance difference are smaller, it means that the number of participating detection substations is larger, and it is considered that the confidence of different lightning devices is higher. Abnormal data can be eliminated through clustering, and data with △t0l greater than 20 microseconds and △xy greater than 6km are eliminated from the second monitoring data.

[0070] In summary, this embodiment utilizes the time inversion and time synchronization technology of the lightning location system and the distributed traveling wave device to mutually verify the deficiencies of single devices, thereby reducing the probability of insufficient feature quantities and missed lightning detection through a single device, thereby improving the effectiveness and accuracy of the monitoring data.

[0071] S103, arranging the time stamps of the first monitoring data, the third monitoring data and the fourth monitoring data in the time window to obtain a time series of the lightning event.

[0072] In this embodiment, based on the time series of the lightning event, the lightning location system, the distributed traveling wave ranging device and the substation fault recording are integrated to achieve the integration and mutual compensation of lightning data from different sources, providing more complete data for a more intuitive understanding of lightning characteristics, and intuitively reflecting the line voltage and current changes caused by the discharge mechanism of lightning activities.

[0073] S104, processing 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.

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

[0075] The following is an explanation of matching, reconstruction and filling. There may be a large amount of data missing in the data reconstruction process. For the missing lightning location system data and distributed device data, the neural network prediction model is used to fill the missing data using the existing data of the two.

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

[0077] Data Proportional Processing:

[0078] Then the scaled values ​​are normalized:

[0079] The inverse transform of the normalized data is:

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

[0081] The data sample training uses the sigmid function as the activation function:

[0082] After training and iteration, the initial inversion model between the lightning location system and the distributed device data is obtained, and the correctness of the model is determined by data verification. Therefore, the trained model can be used to invert the lightning location system data and distributed data, and predict the missing lightning location system data and distributed device data.

[0083] For substation fault recording device data missing, linear regression is used to train the existing distributed device current amplitude, the distance between the lightning strike point and the substation and the substation voltage amplitude to obtain their relationship, and then the existing distributed data of the same line is used to fill the substation fault recording data. By filling and reconstructing the missing data from different sources, the whole process of lightning activity is improved, so as to have a deeper understanding of the characteristic data of lightning current and the effect of lightning current on the spatial electromagnetic field, electric field, 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 lightning strike process of a power transmission line provided by an embodiment of the present invention is shown in FIG. Figure 2 As shown, the device comprises:

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

[0086] The data elimination module 220 is used to reversely calculate the first monitoring data and the second monitoring data using a light speed inversion algorithm to obtain a time difference and a distance difference between the distributed traveling wave device and the lightning location system, and eliminate part of the second monitoring data that does not meet the time difference and / or the distance difference to obtain fourth monitoring data;

[0087] A time series construction module 230 is used to sequentially sort the time stamps of the first monitoring data, the third monitoring data and the fourth monitoring data within the time window to obtain a 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 the monitoring data of the whole process of lightning strike.

[0089] Please refer to Figure 3 , Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present 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 a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (PROM), or a portable CD-ROM, and the memory 420 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. When the processor 310 is a CPU, the CPU 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: obtain the first monitoring data recorded by the lightning location system in the time window of lightning activity, the second monitoring data recorded by the distributed traveling wave device in the time window of lightning activity, and the third monitoring data recorded by the fault recording device in the time window of lightning activity; use the light speed inversion algorithm to reversely 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, remove part of the monitoring data in the second monitoring data that does not meet the time difference and / or distance difference, and obtain the fourth monitoring data; sort the timestamps of the first monitoring data, the third monitoring data and the fourth monitoring data in the time window, and obtain the time series of the lightning event; process the first monitoring data, the third monitoring data and the fourth monitoring data according to the time series to obtain the monitoring data of the whole process of the lightning strike.

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

[0092] The embodiment of the present application also provides a computer-readable storage medium, which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the computer device and the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the data processing method for the whole process of lightning strike on a power transmission line in the above embodiment. It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may 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 codes.

[0093] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method 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 in the scope of protection of the present invention.

Claims

1. A method for processing data of the entire lightning strike process of a power transmission line, characterized in that: Methods include: Acquire first monitoring data recorded by a lightning location system in a time window of lightning activity, second monitoring data recorded by a distributed traveling wave device in a time window of lightning activity, and third monitoring data recorded by a fault recording device in a time window of lightning activity; The first monitoring data and the second monitoring data are reversely calculated using a light speed inversion algorithm to obtain a time difference and a distance difference between the distributed traveling wave device and the lightning locating system, and part of the second monitoring data that does not meet the time difference and / or the distance difference is eliminated to obtain fourth monitoring data; The time stamps of the first monitoring data, the third monitoring data and the fourth monitoring data are sequentially sorted within the time window to obtain a time series of the lightning event; The first monitoring data, the third monitoring data and the fourth monitoring data are processed according to the time series to obtain the monitoring data of the whole process of lightning strike.

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 comprises: 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 process of obtaining the fourth monitoring data is as follows: Determine the time when the distributed traveling wave device captures the lightning strike point according to the second monitoring data, use the light speed inversion algorithm to reversely calculate the time, and obtain the first timestamp and the first lightning position when different distributed traveling wave devices receive the lightning wave; The first timestamp is used to query the latitude and longitude coordinates of the lightning strike point captured by the detection substation from the original database recorded by the lightning location system, and the light speed inversion algorithm is used to reversely calculate the latitude and longitude coordinates to obtain the second timestamp and the second lightning position of the lightning location system receiving the lightning wave; Analyze the first timestamp and the second timestamp to determine the time difference, analyze the first lightning position and the second lightning position to determine the distance difference, and eliminate some monitoring data in the second monitoring data that do not meet the time difference and / or distance difference to obtain the fourth monitoring data.

4. The method according to claim 3, characterized in that Determining the time when the distributed traveling wave device captures the lightning point according to the second monitoring data includes: calculating the second monitoring data using a double-end ranging method or a single-end ranging method to determine the time when the distributed traveling wave device captures the lightning strike point.

5. The method according to claim 3, characterized in that: Before using the speed of light inversion algorithm to reversely calculate the longitude and latitude coordinates and obtain the second timestamp of the lightning location system receiving the lightning wave, it is determined whether the second monitoring data is lower than the data located by the three detection substations. If so, the speed of light inversion algorithm is used to reversely calculate the longitude and latitude coordinates. If not, the lightning current time calculated by the central station of the lightning location system is used as the second timestamp for determining the lightning wave.

6. The method according to claim 5, characterized in that The light speed inversion algorithm is used to reversely calculate the longitude and latitude coordinates to obtain the second timestamp of the lightning location system receiving the lightning wave, including: Calculate a reference quantity according to the first lightning position and longitude and latitude coordinates; Calculate the distance from the detection substation to the lightning strike point based on the reference quantity and the earth radius; The propagation time of the lightning current to the detection substation is calculated based on the distance from the detection substation to the lightning strike point; The receiving time when the detection substation receives the lightning current is obtained, and the second timestamp of the lightning wave is determined according to the propagation time and the receiving time.

7. The method according to claim 6, characterized in that Analyze the first lightning position and the second lightning position 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 value is calculated according to the distance difference formula.

8. A data processing device for the entire lightning process of a power transmission line, characterized in that: The device includes: A monitoring data acquisition module, used to acquire first monitoring data recorded by the lightning location system in the time window of lightning activity, second monitoring data recorded by the distributed traveling wave device in the time window of lightning activity, and third monitoring data recorded by the fault recording device in the time window of lightning activity; A data elimination module is used to reversely calculate the first monitoring data and the second monitoring data using a light speed inversion algorithm to obtain a time difference and a distance difference between the distributed traveling wave device and the lightning locating system, and to eliminate part of the second monitoring data that does not meet the time difference and / or the distance difference to obtain fourth monitoring data; A time series construction module is used to sort the timestamps of the first monitoring data, the third monitoring data and the fourth monitoring data in the time window to obtain a time series of lightning events; The data processing module is used to process the first monitoring data, the third monitoring data and the fourth monitoring data according to the time series to obtain the monitoring data of the whole process of lightning strike.

9. An electronic device, characterized in that: The electronic device comprises 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, the steps of a method for processing data of the entire lightning strike process of a power transmission line as described in any one of claims 1 to 7 are implemented.

10. 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, the steps of a method for processing data of the entire lightning strike process of a power transmission line as claimed in any one of claims 1 to 7 are implemented.

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