Lightning stroke positioning device, method and equipment for overhead conductor
Through the lightning positioning device, the problem of difficulty in quickly positioning the interrupted position of the cable after lightning strike is solved, and the rapid identification and timely processing of the interrupted position of the cable is achieved, reducing economic losses.
Patent Information
- Application Number
- CN202411145993.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-20
- Publication Date
- 2025-01-03
AI Technical Summary
In thunderstorms, the rapid positioning of overhead cables after lightning strikes are difficult, resulting in interruption of power transmission and potentially serious economic losses.
A lightning positioning device is designed to obtain cable stress data through pre-equipped stress sensors, determine the interrupt position using feature identification and matching technology, generate cable interrupt warning information, and improve emergency processing speed.
Quickly determine the cable interruption position after a lightning strike, reduce power interruption time, reduce economic losses, and improve emergency processing speed.
Smart Images

Figure CN119247023A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the technical field of electric power facilities, and specifically relates to a lightning strike location device, method and equipment for overhead wires. Background Art
[0002] Cables installed at high altitudes, whether in cities, grasslands or mountains, are always at risk of being struck by lightning during thunderstorms.
[0003] At present, if a cable is interrupted after being struck by lightning, workers need to inspect along the cable route to determine the specific location of the cable interruption. This method takes a lot of time, but after the cable is interrupted, it will cause power transmission interruption and may even cause wildfires. If the interruption is not handled in time, it will cause serious economic losses.
[0004] Therefore, how to quickly locate the cable interruption position after a lightning strike is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention
[0005] The embodiments of the present application provide a lightning strike locating device, method and equipment for an overhead wire, the purpose of which is to quickly determine the location of the cable interruption by analyzing stress data after the cable is interrupted by lightning, and then take corresponding protective measures in time, thereby improving the emergency processing speed and preventing the cable interruption from causing more serious economic losses.
[0006] In a first aspect, an embodiment of the present application provides a lightning strike location device for an overhead wire, the device comprising:
[0007] The interruption abnormality determination module is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0008] A stress data acquisition module, used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0009] A stress feature acquisition module, used for performing feature recognition on the stress data to obtain stress features of the stress data;
[0010] The position information determination module is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
[0011] Furthermore, the stress data acquisition module is specifically used to:
[0012] The detection data of the pre-installed stress sensors are obtained, and the data difference of the stress sensors on both sides of the same segmented cable is calculated. If the data difference is within the preset error range, the average value of the detection data of the stress sensors on both sides is used as the stress data of the cable between the two towers.
[0013] Furthermore, the stress characteristic acquisition module is specifically used for:
[0014] Acquire stress data samples and stress feature samples of the interrupted cable, and construct a feature extraction model according to the stress data samples and stress feature samples;
[0015] The stress data is input into a pre-built feature extraction model, and the stress characteristics are determined according to the output results of the feature extraction model.
[0016] Furthermore, the device also includes:
[0017] The preset interruption feature updating module is used to obtain historical stress features in historical cable interruption events according to a preset period, and update the preset interruption features according to the historical stress features.
[0018] Furthermore, the interrupt abnormality determination module is also used to:
[0019] After a lightning strike event is identified, the power signal currently transmitted by the cable is acquired, and when there is a transmission abnormality in the power signal, cable interruption warning information is generated.
[0020] Furthermore, the interrupt abnormality determination module is specifically used to:
[0021] The power signal is subjected to quality inspection. If the quality inspection result is unqualified, the power signal is subjected to waveform analysis to identify whether the transmission abnormality of the cable will increase the probability of cable interruption. If so, cable interruption warning information is generated.
[0022] In a second aspect, an embodiment of the present application provides a method for locating a lightning strike of an overhead wire, the method comprising:
[0023] After a lightning strike is detected, detect whether the cable is interrupted or abnormal;
[0024] When there is an abnormality in the cable, the stress data of the cable between every two towers is obtained through a pre-installed stress sensor;
[0025] Performing feature recognition on the stress data to obtain stress features of the stress data;
[0026] When the stress feature matches the preset interruption feature, the position information of the stress sensor is fed back.
[0027] Furthermore, after a lightning strike is detected, the cable is checked for abnormal interruption, including:
[0028] After a lightning strike event is identified, the power receiving status of each cable transmission terminal is obtained, and when the power receiving status meets a preset condition, it is determined that an abnormal interruption exists in the cable.
[0029] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.
[0030] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.
[0031] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.
[0032] In the embodiment of the present application, the interruption abnormality determination module is used to detect whether there is an interruption abnormality in the cable after identifying the occurrence of a lightning strike; the stress data acquisition module is used to obtain the stress data of the cable between every two towers through a pre-installed stress sensor when there is an abnormality in the cable; the stress feature acquisition module is used to perform feature recognition on the stress data to obtain the stress feature of the stress data; the position information determination module is used to feedback the position information of the stress sensor when the stress feature matches the preset interruption feature. Through the above-mentioned lightning strike locating device for overhead wires, after the cable is interrupted by lightning, the location of the cable interruption can be quickly determined by analyzing the stress data, and then corresponding protective measures can be taken in time to improve the emergency processing speed and prevent the cable interruption from causing more serious economic losses. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 It is a structural schematic diagram of a lightning strike locating device for an overhead wire provided in Example 1 of the present application;
[0034] Figure 2 It is a structural schematic diagram of a lightning strike locating device for an overhead wire provided in Embodiment 2 of the present application;
[0035] Figure 3 It is a structural schematic diagram of a lightning strike locating device for an overhead wire provided in Embodiment 3 of the present application;
[0036] Figure 4 It is a structural schematic diagram of a lightning strike locating device for an overhead wire provided in Embodiment 4 of the present application;
[0037] Figure 5 It is a structural schematic diagram of a lightning strike locating device for an overhead wire provided in Embodiment 5 of the present application;
[0038] Figure 6 It is a structural schematic diagram of a lightning strike locating device for an overhead wire provided in Example 6 of the present application;
[0039] Figure 7 It is a structural schematic diagram of a lightning strike locating device for an overhead wire provided in Embodiment 7 of the present application;
[0040] Figure 8 It is a flow chart of a method for locating a lightning strike on an overhead wire provided in Embodiment 8 of the present application;
[0041] Fig. 9 It is a structural diagram of an electronic device provided in Example 9 of the present application. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
[0043] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.
[0044] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.
[0045] The following is a detailed description of the device, method and equipment for locating the lightning strike of an overhead wire provided in the embodiments of the present application through specific embodiments and their application scenarios in conjunction with the accompanying drawings.
[0046] Embodiment 1
[0047] Figure 1 Schematic diagram of the structure of the lightning strike location device for overhead wires provided in Example 1 of the present application. Figure 1 As shown, the specific steps include:
[0048] The interruption abnormality determination module 101 is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0049] A stress data acquisition module 102 is used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0050] A stress feature acquisition module 103 is used to perform feature recognition on the stress data to obtain stress features of the stress data;
[0051] The position information determination module 104 is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
[0052] The application scenario of this solution may be a scenario of identifying the location of cable interruption after a lightning strike.
[0053] Based on the above scenario, it can be understood that the executor of this scenario can be an intelligent terminal that determines the cable interruption abnormality through stress data, such as desktop computers, laptops, tablets, and interactive multimedia devices, etc., and no excessive limitations are made here.
[0054] The interruption abnormality determination module 101 can be a program design used by the intelligent terminal to identify whether there is an abnormality in the cable after a lightning strike occurs. Specifically, the interruption abnormality can be an abnormal phenomenon that the power cannot be normally transmitted from the input position to the output position through the cable due to a fault such as insulation aging, external force damage or loose joints of the cable.
[0055] A method for identifying whether there is an abnormal interruption in the cable is to set a current sensor at the insulator string position of the transmission line. After a lightning strike occurs, the current value detected by the current sensor is obtained. If the current value is greater than or equal to the preset fault current, there is an abnormal interruption in the cable.
[0056] The stress data acquisition module 102 may be a stress sensor, which may be arranged near the tower of the cable to collect stress data of the cable segments near the tower. Specifically, the stress sensor may be a sensor element that can convert stress changes on a mechanical component into resistance changes.
[0057] The stress data may be the tensile force value received by the cable segment between each two towers.
[0058] The method of obtaining the stress data of the cable between each two towers can be based on the working principle of the resistance strain effect. Specifically, when the segment between the two towers of the cable is subjected to tension, the metal wire and other resistance materials in the stress sensor are subjected to stress, and their resistance value will change. Through the change in resistance value, the electrical signal in the circuit where the metal wire is located changes synchronously, and the change in the electrical signal is analyzed and calculated. The magnitude of the stress data can be inferred through the correlation between stress and resistance value, and resistance value and electrical signal.
[0059] The stress feature acquisition module 103 may be a program design for extracting stress features from stress data by an intelligent terminal. Specifically, a method for feature recognition of stress data may be to convert stress data from the time domain to the frequency domain using a Fourier transform algorithm (such as a fast Fourier transform FFT). This will generate a spectrum showing the stress amplitude at different frequencies. The spectrum characteristics are analyzed, wherein the main frequency is the frequency component with the largest amplitude in the spectrum, which usually corresponds to the main vibration or periodic change in the stress data. The secondary frequency is a frequency component with a smaller but still significant amplitude in the spectrum, which may represent a secondary vibration or noise source in the stress data. The bandwidth is the frequency range in which the amplitude changes significantly in the spectrum, reflecting the distribution width of the stress data in the frequency domain. Based on the spectrum characteristics, the source, nature, and possible influencing factors of the stress data can be inferred. For example, the main frequency may be related to the operating frequency of the electricity in the cable, and the secondary frequency may be caused by external vibration or structural resonance.
[0060] The location information determination module 104 may be a program design of an intelligent terminal for determining the location of a cable break according to stress characteristics. Specifically, the preset break characteristics may be to obtain stress data at both ends of a cable that has been broken in advance, extract characteristics thereof, and use the extracted characteristics as preset break characteristics to provide a basis for determining whether a cable break has occurred.
[0061] The method for feeding back the position information of the stress sensor is to match the acquired stress characteristics with the preset interruption characteristics. If the match is inconsistent, the cable is not interrupted in the current segment; if the match is consistent, the cable is interrupted in the current segment, and the interruption position is within the measurement range of the stress sensor. Therefore, it is only necessary to obtain and feed back the position information of the stress sensor to the maintenance personnel to locate the interruption position.
[0062] In this solution, a program code for extracting stress characteristics corresponding to stress data is provided for reference:
[0063] import numpy as np
[0064] import matplotlib.pyplot as plt
[0065] from scipy.fft import fft,fftfreq
[0066] t = np.linspace(0,1,400,endpoint = False) # time vector
[0067] f=5#main frequency
[0068] stress_data=0.7*np.sin(2*np.pi*f*t)+np.random.normal(0,0.3,t.size)#stress data
[0069] # Apply Fourier transform
[0070] Y = fft(stress_data)
[0071] n = stress_data.size
[0072] freq = fftfreq(n,d = t[1] - t[0]) # frequency vector
[0073] # draw the spectrum
[0074] plt.figure(figsize=(10,6))
[0075] plt.stem(freq[:n / / 2],np.abs(Y[:n / / 2]),'b',#upper part
[0076] markerfmt="",basefmt="-b")
[0077] plt.title('Stress Data Frequency Spectrum')
[0078] plt.xlabel('Frequency(Hz)')
[0079] plt.ylabel('|Y(freq)|')
[0080] plt.grid(True)
[0081] plt.show()
[0082] In the embodiment of the present application, the interruption abnormality determination module is used to detect whether there is an interruption abnormality in the cable after identifying the occurrence of a lightning strike; the stress data acquisition module is used to obtain the stress data of the cable between every two towers through a pre-installed stress sensor when there is an abnormality in the cable; the stress feature acquisition module is used to perform feature recognition on the stress data to obtain the stress feature of the stress data; the position information determination module is used to feedback the position information of the stress sensor when the stress feature matches the preset interruption feature. Through the above-mentioned lightning strike locating device for overhead wires, after the cable is interrupted by lightning, the location of the cable interruption can be quickly determined by analyzing the stress data, and then corresponding protective measures can be taken in time to improve the emergency processing speed and prevent the cable interruption from causing more serious economic losses.
[0083] Embodiment 2
[0084] Figure 2 This is a schematic diagram of the structure of the lightning strike location device for overhead wires provided in Example 2 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is: the interruption abnormality determination module is specifically used to: after identifying the occurrence of a lightning strike event, obtain the power reception status of each cable transmission terminal, and when the power reception status meets the preset conditions, determine that the cable has an interruption abnormality.
[0085] like Figure 2 As shown, specifically including the following:
[0086] The interruption abnormality determination module 201 is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0087] A stress data acquisition module 202 is used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0088] A stress feature acquisition module 203 is used to perform feature recognition on the stress data to obtain stress features of the stress data;
[0089] The position information determination module 204 is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
[0090] The abnormal interruption determination module 201 is specifically used to obtain the power receiving status of each cable transmission terminal after identifying the occurrence of a lightning strike event, and determine that the cable has an abnormal interruption when the power receiving status meets a preset condition.
[0091] A cable transmission terminal can be an electrical device connected to the end of a cable to receive the power transmitted by the cable. For example, when a power plant transmits power to a substation, the substation is a cable transmission terminal; when a substation transmits power to a household appliance, the household appliance is a cable transmission terminal.
[0092] The power receiving condition may be whether the data such as the current, voltage and electric energy received by the cable transmission terminal can meet the power demand.
[0093] The preset condition may be a pre-set power receiving condition for determining whether the cable has an abnormal interruption. For example, when the power received by the cable transmission terminal is 0, it is determined that the cable has an abnormal interruption.
[0094] A method for determining whether there is an abnormal interruption in the cable is that after a lightning strike occurs, the smart terminal sends a request to the cable transmission terminal to obtain the power reception status. After the cable transmission terminal responds, the currently obtained current, voltage and other data are sent to the smart terminal, and the smart terminal compares the received current, voltage and other data with preset conditions. If the current, voltage and other data meet the preset conditions, then the current cable has an abnormal interruption; if the current, voltage and other data do not meet the preset conditions, then the current cable does not have an abnormal interruption.
[0095] The benefit of this arrangement is that it is possible to determine whether there is an abnormal interruption in the cable by analyzing the power reception situation at the cable transmission terminal, which is conducive to quickly detecting abnormal cable problems after a lightning strike, thereby saving interruption locating time and providing more emergency repair time for interruption abnormalities.
[0096] Embodiment 3
[0097] Figure 3It is a structural diagram of the lightning strike location device for overhead wires provided in Example 3 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is: the acquisition cycle determination module is specifically used for: the stress data acquisition module is specifically used for: obtaining the detection data of the pre-installed stress sensor, calculating the data difference of the stress sensors on both sides of the same segmented cable, and if the data difference is within the preset error range, the average value of the detection data of the stress sensors on both sides is used as the stress data of the cable between the two towers.
[0098] like Figure 3 As shown, specifically including the following:
[0099] The interruption abnormality determination module 301 is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0100] A stress data acquisition module 302 is used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0101] A stress feature acquisition module 303 is used to perform feature recognition on the stress data to obtain stress features of the stress data;
[0102] The position information determination module 304 is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
[0103] Among them, the stress data acquisition module 302 is specifically used to: obtain the detection data of the pre-installed stress sensors, calculate the data difference of the stress sensors on both sides of the same segmented cable, and if the data difference is within a preset error range, use the average value of the detection data of the stress sensors on both sides as the stress data of the cable between the two towers.
[0104] The preset error can be that under normal circumstances, the stress data on both sides of the same segmented cable should be consistent, but in the process of collecting stress data, measurement errors and environmental factors that may affect the stress data may cause a small error in the stress data on both sides of the same segmented cable, and this error is used as the preset error. When the difference in stress data on both sides of the same segmented cable is within the preset error range, the currently collected stress data is valid. When the difference in stress data on both sides of the same segmented cable is not within the preset error range, the currently collected stress data is abnormal and cannot be used as a data basis for subsequent judgment of the interruption position.
[0105] The method for determining the stress data of the cable between the two towers can be to obtain the data collected by the stress sensors on both sides of the same segmented cable, calculate the difference between the two data, and compare the difference with a preset error. If the difference is less than the preset error, the average value of the data collected by the stress sensors on both sides of the same segmented cable is calculated as the stress data of the segmented cable between the two towers.
[0106] The advantage of this arrangement of the present scheme is that the collected stress data can be verified to prevent the use of abnormal stress data for analysis, thereby affecting the positioning results of the cable interruption position and causing unnecessary waste of resources.
[0107] Embodiment 4
[0108] Figure 4 It is a structural schematic diagram of the lightning strike location device for overhead wires provided in Example 4 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is as follows: the stress feature acquisition module is specifically used to: obtain stress data samples and stress feature samples of the interrupted cable, and construct a feature extraction model based on the stress data samples and stress feature samples; input the stress data into the pre-constructed feature extraction model, and determine the stress feature according to the output result of the feature extraction model.
[0109] like Figure 4 As shown, specifically including the following:
[0110] The interruption abnormality determination module 401 is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0111] A stress data acquisition module 402 is used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0112] A stress feature acquisition module 403 is used to perform feature recognition on the stress data to obtain stress features of the stress data;
[0113] The position information determination module 404 is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
[0114] The stress feature acquisition module 403 is specifically used to acquire stress data samples and stress feature samples of the interrupted cable, and to construct a feature extraction model according to the stress data samples and stress feature samples;
[0115] The stress data is input into a pre-built feature extraction model, and the stress characteristics are determined according to the output results of the feature extraction model.
[0116] The stress data samples and stress feature samples of the interrupted cable may be stress data on both sides of the interrupted cable with known stress features and stress features corresponding to the stress data.
[0117] The method of obtaining the stress data sample and stress characteristic sample of the interrupted cable can be to collect the stress data on both sides of the interrupted cable as the stress data sample, and the staff can extract the features of the stress data sample and use the extracted results as the stress characteristic samples.
[0118] The feature extraction model can be constructed by using stress feature samples as labels and stress data samples as input variables, performing supervised training, obtaining the correlation between stress data samples and stress feature samples, and then constructing a feature extraction model that can extract stress features from stress data.
[0119] The stress characteristics may be determined by inputting the currently collected stress data into a pre-built feature extraction model, and the feature extraction model outputs the stress characteristics corresponding to the current stress data based on the pre-learned correlation between the stress data and the stress characteristics.
[0120] The advantage of this arrangement of the present invention is that the stress characteristics of the stress data can be obtained by using the feature extraction model, so that the stress characteristics can better conform to the subsequent matching mechanism, thereby making the judgment of the interruption position more accurate.
[0121] Embodiment 5
[0122] Figure 5 It is a structural diagram of the lightning strike location device for overhead wires provided in Example 5 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is: the harmful gas analysis module is specifically used for: the device also includes: a preset interruption feature update module, which is used to obtain the historical stress characteristics in the historical cable interruption event according to the preset period, and update the preset interruption characteristics according to the historical stress characteristics.
[0123] like Figure 5 As shown, specifically including the following:
[0124] The interruption abnormality determination module 501 is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0125] A stress data acquisition module 502 is used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0126] A stress feature acquisition module 503 is used to perform feature recognition on the stress data to obtain stress features of the stress data;
[0127] A position information determination module 504, configured to provide feedback on the position information of the stress sensor when the stress feature matches a preset interruption feature;
[0128] The preset interruption feature updating module 505 is used to obtain historical stress features in historical cable interruption events according to a preset period, and update the preset interruption features according to the historical stress features.
[0129] The preset period may be a preset period for updating the preset interruption feature. The preset period may be determined by the staff and written into the updating program of the preset interruption feature.
[0130] The method for updating the preset interruption characteristics is to obtain the historical cable interruption records within the preset period when the preset period is reached, extract the historical stress characteristics in each interruption record, obtain the common characteristics of each historical stress characteristic, and replace the original preset interruption characteristic content with the common characteristics, thereby realizing the update of the preset interruption characteristics.
[0131] The advantage of such a setting of the present solution is that the preset interruption characteristics can be updated during the process of locating the interruption position, thereby continuously optimizing the judgment mechanism for determining the interruption position and improving the accuracy of interruption positioning.
[0132] Embodiment 6
[0133] Figure 6 This is a schematic diagram of the structure of the lightning strike location device for overhead wires provided in Example 6 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is: the interruption abnormality determination module is also used to: after identifying the occurrence of a lightning strike event, obtain the power signal currently transmitted by the cable, and generate cable interruption warning information when there is a transmission abnormality in the power signal.
[0134] like Figure 6 As shown, specifically including the following:
[0135] The interruption abnormality determination module 601 is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0136] A stress data acquisition module 602 is used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0137] A stress feature acquisition module 603 is used to perform feature recognition on the stress data to obtain stress features of the stress data;
[0138] The position information determination module 604 is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
[0139] The interruption abnormality determination module 601 is further used to: after identifying a lightning strike event, obtain the power signal currently transmitted by the cable, and generate cable interruption warning information when there is a transmission abnormality in the power signal.
[0140] The power signal can be the waveform of the electric energy transmitted to the power-consuming equipment during the operation of the cable.
[0141] The method of generating cable interruption warning information can be that after a lightning strike occurs, the power signal transmitted by the cable is received at the power transmission terminal, and the power signal is recorded with an oscilloscope, and the received power signal is compared with the standard power signal transmitted during normal operation of the cable. If the power signal does not match the standard power signal, it is determined that there is a transmission abnormality in the power signal, and a cable interruption warning information is generated to prompt relevant personnel to promptly inspect and repair the cables with a higher probability of interruption to prevent the cables from being interrupted.
[0142] The benefit of this arrangement of the scheme is that cables with a high probability of interruption can be identified in advance before the cables are interrupted, so that abnormal cables can be maintained or replaced in advance, thereby reducing the economic losses caused by cable interruption to a certain extent.
[0143] Embodiment 7
[0144] Figure 7 This is a schematic diagram of the structure of the lightning strike location device for overhead wires provided in Example 7 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is: the interruption abnormality determination module is specifically used to: perform quality detection on the power signal, and when the quality detection result is unqualified, perform waveform analysis on the power signal to identify whether the transmission abnormality of the cable will increase the probability of cable interruption, and if so, generate cable interruption warning information.
[0145] like Figure 7 As shown, specifically including the following:
[0146] The interruption abnormality determination module 701 is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event;
[0147] A stress data acquisition module 702 is used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable;
[0148] A stress feature acquisition module 703 is used to perform feature recognition on the stress data to obtain stress features of the stress data;
[0149] The position information determination module 704 is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
[0150] Among them, the interruption abnormality determination module 701 is specifically used to: perform quality detection on the power signal, and if the quality detection result is unqualified, perform waveform analysis on the power signal to identify whether the transmission abnormality of the cable will increase the probability of cable interruption, and if so, generate cable interruption warning information.
[0151] The quality inspection method of the cable is to obtain the current strength, voltage strength and transmission power of the power signal, and compare it with the power consumption standard of the power transmission terminal. If the current strength, voltage strength or transmission power of the power signal is lower than the minimum power consumption standard, the quality inspection result is unqualified.
[0152] A way to identify whether the transmission abnormality of the cable will increase the probability of cable interruption can be to analyze the waveform of the power signal and determine the cause of the cable transmission abnormality based on the frequency and amplitude change trend of the power signal waveform. If the cause of the transmission abnormality will not accelerate the cable interruption, for example, resistance abnormality caused by temperature rise of the cable joint, then the cable transmission abnormality will not increase the probability of cable interruption; if the cause of the transmission abnormality will cause cable interruption, for example, damage to the cable insulation layer caused by lightning strike, then the cable transmission abnormality will increase the probability of cable interruption, and it is necessary to generate cable interruption warning information.
[0153] The benefit of this arrangement of the scheme is that it can determine whether to generate cable interruption warning information by identifying whether the transmission anomaly of the cable will increase the probability of cable interruption, which is conducive to making the cable interruption warning information more accurate and avoiding the waste of cable maintenance resources due to warning errors.
[0154] Embodiment 8
[0155] Figure 8 It is a flow chart of the method for locating lightning strikes on overhead wires provided in Example 8 of the present application.
[0156] like Figure 8 As shown, the specific steps include:
[0157] S801, after identifying a lightning strike event, detecting whether the cable is interrupted abnormally;
[0158] S802, when there is an abnormality in the cable, obtaining stress data of the cable between every two towers through a pre-installed stress sensor;
[0159] S803, performing feature recognition on the stress data to obtain stress features of the stress data;
[0160] S804: When the stress feature matches a preset interruption feature, feedback is provided on the position information of the stress sensor.
[0161] Based on the above method, optionally, after a lightning strike event is identified, detecting whether the cable is abnormally interrupted includes:
[0162] After a lightning strike event is identified, the power receiving status of each cable transmission terminal is obtained, and when the power receiving status meets a preset condition, it is determined that an abnormal interruption exists in the cable.
[0163] In the embodiment of the present application, after a lightning strike is identified, it is detected whether the cable has an abnormal interruption; when the cable has an abnormality, the stress data of the cable between each two towers is obtained through a pre-installed stress sensor; the stress data is feature-recognized to obtain the stress feature of the stress data; when the stress feature matches the preset interruption feature, the position information of the stress sensor is fed back. Through the above-mentioned lightning strike locating device for overhead wires, after a lightning strike causes a cable interruption, the location of the cable interruption can be quickly determined by analyzing the stress data, and then corresponding protective measures can be taken in time to improve the emergency processing speed and prevent the cable interruption from causing more serious economic losses.
[0164] The method for locating a lightning strike for an overhead wire provided in the embodiment of the present application corresponds to the device for locating a lightning strike for an overhead wire provided in the above embodiment, and has the same functional modules and beneficial effects, and will not be described again here to avoid repetition.
[0165] Embodiment 9
[0166] like Fig. 9 As shown, an embodiment of the present application also provides an electronic device 900, including a processor 901, a memory 902, and a program or instruction stored in the memory 902 and executable on the processor 901. When the program or instruction is executed by the processor 901, each process of the above-mentioned embodiment of the lightning strike locating device for overhead wires is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.
[0167] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.
[0168] Embodiment 10
[0169] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned embodiment of the lightning strike locating device for overhead wires is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.
[0170] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0171] Embodiment 11
[0172] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the lightning strike locating device for overhead wires, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
[0173] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.
[0174] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.
[0175] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.
[0176] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.
[0177] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.
Claims
1. A lightning strike location device for an overhead wire, characterized in that: The device comprises: The interruption abnormality determination module is used to detect whether there is an interruption abnormality in the cable after identifying a lightning strike event; A stress data acquisition module, used to acquire stress data of the cable between every two towers through a pre-installed stress sensor when an abnormality occurs in the cable; A stress feature acquisition module, used for performing feature recognition on the stress data to obtain stress features of the stress data; The position information determination module is used to feed back the position information of the stress sensor when the stress feature matches the preset interruption feature.
2. The lightning strike locating device for overhead wires according to claim 1, characterized in that: The interrupt abnormality determination module is specifically used for: After a lightning strike event is identified, the power receiving status of each cable transmission terminal is obtained, and when the power receiving status meets a preset condition, it is determined that the cable has an interruption abnormality.
3. The lightning strike locating device for overhead wires according to claim 1, characterized in that: The stress data acquisition module is specifically used for: The detection data of the pre-installed stress sensors are obtained, and the data difference of the stress sensors on both sides of the same segmented cable is calculated. If the data difference is within the preset error range, the average value of the detection data of the stress sensors on both sides is used as the stress data of the cable between the two towers.
4. The lightning strike locating device for overhead wires according to claim 1, characterized in that: The stress feature acquisition module is specifically used for: Acquire stress data samples and stress feature samples of the interrupted cable, and construct a feature extraction model according to the stress data samples and stress feature samples; The stress data is input into a pre-built feature extraction model, and the stress characteristics are determined according to the output results of the feature extraction model.
5. The lightning strike locating device for overhead conductors according to claim 1, characterized in that: The device also includes: The preset interruption feature updating module is used to obtain historical stress features in historical cable interruption events according to a preset period, and update the preset interruption features according to the historical stress features.
6. The lightning strike locating device for overhead wires according to claim 1, characterized in that: The interrupt abnormality determination module is further used for: After a lightning strike event is identified, the power signal currently transmitted by the cable is acquired, and when there is a transmission abnormality in the power signal, cable interruption warning information is generated.
7. The lightning strike locating device for overhead wires according to claim 6, characterized in that: The interrupt abnormality determination module is specifically used for: The power signal is subjected to quality inspection. If the quality inspection result is unqualified, the power signal is subjected to waveform analysis to identify whether the transmission anomaly of the cable increases the probability of cable interruption. If so, cable interruption warning information is generated.
8. A method for locating a lightning strike on an overhead wire, characterized in that: The method comprises: After a lightning strike is detected, detect whether the cable is interrupted abnormally; When there is an abnormality in the cable, the stress data of the cable between every two towers is obtained through a pre-installed stress sensor; Performing feature recognition on the stress data to obtain stress features of the stress data; When the stress feature matches the preset interruption feature, the position information of the stress sensor is fed back.
9. The method for locating a lightning strike of an overhead wire according to claim 8, characterized in that: After a lightning strike is detected, the cable is checked for abnormal interruptions, including: After a lightning strike event is identified, the power receiving status of each cable transmission terminal is obtained, and when the power receiving status meets a preset condition, it is determined that an abnormal interruption exists in the cable.
10. An electronic device, characterized in that: The method comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method for locating a lightning strike of an overhead wire as described in any one of claims 8 to 9.
Citation Information
Cited By
Device, method and equipment for detecting loose connection of automobile cable
CN120993277A