Leakage current model construction device, method and equipment based on lightning stroke data

Abstract

This application discloses a device, method, and equipment for constructing a leakage current model based on lightning strike data, belonging to the field of power facility technology. The device includes: a cable information acquisition module for acquiring cable location information and operating parameter information; a leakage current acquisition module for acquiring the leakage current of the target cable; an initial model construction module for constructing an initial model based on the cable's operating parameter information and leakage current; a lightning strike data acquisition module for acquiring data information of lightning strike events occurring within the monitoring range; wherein the data information includes lightning strike point information and lightning current information; a model iteration module for acquiring a leakage current model after a lightning strike event occurs; and an impact index determination module for determining the impact index of the lightning strike event based on the change in the leakage current model relative to the initial model. This technical solution can predict and promptly maintain cable insulation layer damage, ensuring the normal operation of the power system.

Description

Technical Field

[0001] This application belongs to the field of power facility technology, specifically relating to a device, method and equipment for constructing a leakage current model based on lightning strike data. Background Technology

[0002] The insulation layer is a component that covers the outside of a cable and provides electrical insulation, ensuring that the transmitted current travels only along the conductor and does not flow outwards. It guarantees the normal transmission function of the conductor and protects external objects and people. However, the number of lightning strikes can affect the insulation effectiveness of the cable's insulation layer, thereby affecting the normal operation of the cable and even jeopardizing the safety of the power system.

[0003] Currently, the impact of lightning strikes on cable insulation can be reflected by leakage current. However, there is no systematic analysis of the weighting of various indicators in lightning strikes on cable insulation, making it impossible to accurately predict the insulation performance of cables. Therefore, determining the impact of various lightning strike data on the leakage current of cable insulation is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] The purpose of this application is to provide a leakage current model construction device, method, and equipment based on lightning strike data. It can generate a model based on the performance of cables after a lightning strike, which can be used to effectively predict and maintain the insulation layer of cables, and avoid affecting the normal operation of the power system due to insulation layer damage.

[0005] In a first aspect, embodiments of this application provide a leakage current model construction device based on lightning strike data, the device comprising:

[0006] The cable information acquisition module is used to acquire the cable's location information and operating parameters.

[0007] A leakage current acquisition module is used to acquire the leakage current of the target cable;

[0008] An initial model building module is used to build an initial model based on the cable's operating parameter information and the leakage current.

[0009] The lightning strike data acquisition module is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0010] The model iteration module is used to obtain the leakage current model after a lightning strike event.

[0011] The impact index determination module is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model.

[0012] Furthermore, the model iteration module is also used for:

[0013] After a lightning strike, the leakage current model is reacquired, and the leakage current model before the lightning strike is iterated to the initial model.

[0014] Accordingly, the device also includes:

[0015] The impact information determination module is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model.

[0016] Furthermore, the influence information determination module is used for:

[0017] Based on the lightning strike point information and the cable location information in the data information of the lightning strike event, the distance information between the lightning strike point and the cable is determined;

[0018] Based on the change of the iterated leakage current model relative to the initial model, and the distance information of each lightning strike event, the influence weight of the lightning strike point information in the data information of the lightning strike event is determined.

[0019] Furthermore, the influence information determination module is used for:

[0020] Based on the change of the iterated leakage current model relative to the initial model, and the lightning current information of each lightning strike event, the influence weight of the lightning current information in the data information of the lightning strike event is determined.

[0021] Furthermore, the influence information determination module is used for:

[0022] Obtain the peak current for each lightning strike event;

[0023] Based on the change of the iterated leakage current model relative to the initial model, and the peak current of each lightning strike event, the influence sub-weight of the peak current in the data information of the lightning strike event is determined.

[0024] Furthermore, the influence information determination module is used for:

[0025] Obtain the amount of charge in each lightning strike event;

[0026] Based on the change in the iterated leakage current model relative to the initial model, and the amount of charge in each lightning strike event, the influence sub-weight of the charge in the data information of the lightning strike event is determined.

[0027] Secondly, embodiments of this application provide a method for constructing a leakage current model based on lightning strike data, the method comprising:

[0028] The cable information acquisition module is used to acquire the cable's location information and operating parameters.

[0029] The leakage current of the target cable is collected using a leakage current acquisition module;

[0030] Based on the cable's operating parameters and the leakage current, an initial model is constructed using the initial model construction module.

[0031] The lightning strike data acquisition module acquires data information on lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0032] The leakage current model is obtained after a lightning strike event through the model iteration module.

[0033] Based on the change in the leakage current model relative to the initial model, the impact index of the lightning strike event is determined by the impact index determination module.

[0034] Furthermore, the leakage current model is obtained after a lightning strike event through the model iteration module, including:

[0035] After a lightning strike, the leakage current model is reacquired, and the leakage current model before the lightning strike is iterated to the initial model.

[0036] Accordingly, after obtaining the leakage current model after a lightning strike, the method further includes:

[0037] Based on the change in the leakage current model relative to the initial model, the influence weight of each data information of the lightning strike event is determined by the influence information determination module.

[0038] Furthermore, based on the change in the iterative leakage current model relative to the initial model, the influence weights of each data point related to the lightning strike event are determined by the influence information determination module, including:

[0039] Based on the lightning strike point information and the cable location information in the data information of the lightning strike event, the distance information between the lightning strike point and the cable is determined;

[0040] Based on the change of the iterated leakage current model relative to the initial model, and the distance information of each lightning strike event, the influence weight of the lightning strike point information in the data information of the lightning strike event is determined.

[0041] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0042] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0043] Fifthly, embodiments of this application provide a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the method as described in the first aspect.

[0044] In this embodiment, a cable information acquisition module is used to acquire the cable's location information and operating parameter information; a leakage current acquisition module is used to acquire the leakage current of the target cable; an initial model construction module is used to construct an initial model based on the cable's operating parameter information and the leakage current; a lightning strike data acquisition module is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information; a model iteration module is used to acquire a leakage current model after a lightning strike event occurs; and an impact index determination module is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model. Through the above-described leakage current model construction device based on lightning strike data, a model can be generated based on the cable's performance after a lightning strike, enabling effective damage prediction and timely maintenance of the cable's insulation layer, thus preventing damage to the insulation layer from affecting the normal operation of the power system. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of the structure of the leakage current model construction device based on lightning strike data provided in Embodiment 1 of this application;

[0046] Figure 2 This is a schematic diagram of the structure of the leakage current model construction device based on lightning strike data provided in Embodiment 2 of this application;

[0047] Figure 3 This is a schematic diagram of the structure of the leakage current model construction device based on lightning strike data provided in Embodiment 3 of this application;

[0048] Figure 4 This is a schematic diagram of the structure of the leakage current model construction device based on lightning strike data provided in Embodiment 4 of this application;

[0049] Figure 5This is a schematic diagram of the structure of the leakage current model construction device based on lightning strike data provided in Embodiment 5 of this application;

[0050] Figure 6 This is a schematic diagram of the leakage current model construction device based on lightning strike data provided in Embodiment Six of this application;

[0051] Figure 7 This is a flowchart illustrating the method for constructing a leakage current model based on lightning strike data provided in Embodiment 7 of this application;

[0052] Figure 8 This is a schematic diagram of the structure of the electronic device provided in Embodiment 8 of this application. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0054] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0055] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0056] The following description, in conjunction with the accompanying drawings, details the apparatus, method, and device for constructing leakage current models based on lightning strike data provided in this application, through specific embodiments and application scenarios.

[0057] Example 1

[0058] Figure 1 This is a schematic diagram of the leakage current model construction device based on lightning strike data provided in Embodiment 1 of this application. Figure 1 As shown, the specific steps include the following:

[0059] The cable information acquisition module 110 is used to acquire the cable's location information and its operating parameters.

[0060] The leakage current acquisition module 120 is used to acquire the leakage current of the target cable;

[0061] The initial model building module 130 is used to build upon the operating parameter information of the cable and the leakage current.

[0062] The lightning strike data acquisition module 140 is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0063] Model iteration module 150 is used to obtain the leakage current model after a lightning strike event.

[0064] The impact index determination module 160 is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model.

[0065] This solution can be applied in scenarios where a smart terminal builds a leakage current model before and after a lightning strike based on information such as cable laying location and cable operation data. The model is then compared and analyzed to determine the impact indicators of a lightning strike on the cable insulation. Specifically, leakage current data collection can be performed by a leakage current sensor, while cable parameter acquisition, leakage circuit model building, and determination of lightning strike impact indicators can be handled by the smart terminal. After determining the lightning strike impact indicators, the insulation performance of the cable insulation can be predicted based on the degree of impact of each indicator on the cable insulation during a lightning strike. This allows staff to promptly identify and repair any cable insulation with potential safety hazards.

[0066] Based on the above usage scenarios, it is understood that the executing entity of this application can be the smart terminal, such as a desktop computer, laptop computer, mobile phone, tablet computer, and interactive multimedia device, etc., without further limitations.

[0067] The cable information acquisition module 110 can be a program designed for a smart terminal to acquire cable location information and operating parameter information. Specifically, it can be that staff input the cable location information and operating parameters into the smart terminal, or the smart terminal determines the cable location through monitoring and related algorithms, and collects the cable's operating parameter information through big data.

[0068] Understandably, the cables involved in this solution can be 6-220kV AC transmission lines, typically equipped with valve-type surge arresters or zinc oxide surge arresters to limit lightning overvoltages generated when the cable is struck by lightning. Surge arresters are generally connected in parallel to the cable's insulator string, presenting a high-resistance insulation state. When a lightning strike causes an impulse voltage on the cable, the surge arrester conducts, diverting the overvoltage to the ground, thereby protecting the cable's normal operation.

[0069] The cable location information can refer to the position of the cable being inspected within the monitored area. Specifically, the monitored area can be simulated as a two-dimensional plane, with an origin point selected. Each inspected part of the cable can then be represented by a coordinate point within this two-dimensional plane to determine its location. For example, if the monitored area is simulated as a two-dimensional plane, and the monitoring location is set as the origin (0,0), then based on the direction of the inspected cable part's distance from the origin, the coordinates of inspected point 1 can be determined as (3,4), inspected point 2 as (3,8), and so on. The cable's operating parameter information can refer to the parameters used during normal cable operation. This can include the cable's model, specifications, operating voltage, and current.

[0070] The leakage current acquisition module 120, which can be a leakage current sensor, can be installed at the test point of the cable to collect the leakage current of the cable. The method of collecting the cable leakage current can be based on the principle of electromagnetic induction. Specifically, the leakage current sensor contains a magnetic core and a coil. When leakage current occurs in the cable being tested, the magnetic field changes, causing a corresponding voltage signal to be generated in the induction coil. This voltage signal is amplified and output through a standard output interface to achieve the detection function. Alternatively, the leakage current can be obtained through the cable's grounding current. Specifically, when the metal sheaths at both ends of the cable section to be tested are directly grounded, the grounding current at both ends of the cable section to be tested can be obtained. By subtracting this grounding current, the leakage current of the cable section to be tested can be obtained.

[0071] The initial model building module 130 can be a program design for a smart terminal to build an initial model using big data based on cable operating parameters and collected leakage current information. Specifically, the smart terminal can collect multiple sets of leakage currents through the leakage current acquisition module 120, and input the cable operating parameters, leakage current values, and the acquisition time corresponding to each leakage current value into the big data model. After data analysis, the raw data curve of leakage current under specific cable operating parameters is obtained. The method for establishing the big data model can be that the smart terminal analyzes the cable operating parameters, leakage current, and other data, extracts the correlation information between each data and the cable leakage current, and selects a fitting numerical prediction model (numerical prediction models include regression prediction, time series prediction, etc.) based on this correlation information. After determining the numerical prediction model, the smart terminal continuously adjusts the model parameters to obtain the optimal parameters based on the degree of fit between the multiple sets of cable operating parameters, leakage current, and the acquisition time corresponding to the leakage current values ​​and the model. Then, the constructed model is verified using test data (such as previously acquired cable operating parameters and leakage current) or currently acquired data. If the accuracy rate meets the standard, the model construction is complete; if the accuracy rate does not meet the standard, the steps of selecting a numerical prediction model and adjusting parameters are repeated until the accuracy rate meets the standard.

[0072] The lightning strike data acquisition module 140 can be a program designed for a smart terminal to acquire data information on lightning strike events occurring within the monitoring range. The data information includes lightning strike point information and lightning current information. Lightning strikes can be cloud-to-ground lightning that occurs during severe convective weather, characterized by intense light and loud noise. It often descends along a branching or arrow-shaped path, sometimes appearing as ball lightning, posing significant damage to people, livestock, crops, and buildings on the ground. Lightning strike point information can be the location where the lightning strike contacts the ground or a building. The method for determining the lightning strike point information can be through image recognition. Specifically, after the monitoring equipment captures a lightning image, image recognition methods can be used to extract the lightning channel image, and binocular or multi-view visual positioning can be used to calculate the two-dimensional coordinates of the lightning strike point within the monitoring area.

[0073] Lightning current information refers to the current that flows into the ground through the struck object when lightning strikes. This information can include the peak value, amplitude, and charge of the lightning current. Lightning current information can be obtained using a lightning current sensor. Specifically, the sensor's Röss coil can generate an output voltage proportional to the differential of the lightning current. The integrator within the sensor then integrates and performs analog-to-digital (AD) sampling on the output voltage signal, and the AD sampling result is uploaded to a smart terminal.

[0074] The model iteration module 150 can be a program design for a smart terminal to acquire a leakage current model after a lightning strike. Specifically, after a lightning strike, the smart terminal can repeatedly build the initial model based on the acquired cable operating parameters and leakage current information, iterating over the leakage current model before the lightning strike. Iteration can be an activity involving repeated feedback, typically aimed at approximating a desired target or result. The method for iterating over the leakage current model before the lightning strike can be to reuse the already constructed leakage current model and determined model parameters, inputting multiple sets of leakage currents acquired after the lightning strike, the events that collected the leakage current, and the cable's operating parameters into the model. The smart terminal then performs detailed optimization of the model based on the matching degree of the post-lightning strike parameters, obtaining the iterated model, while the model built before the lightning strike is replaced with the initial model.

[0075] The impact indicator determination module 160 can be a program design whereby an intelligent terminal determines the impact indicators of a lightning strike by comparing and analyzing leakage current models before and after the strike. Specifically, the intelligent terminal can determine the impact of a lightning strike on the insulation performance of a cable insulation layer by comparing the overlap of leakage current curves in the leakage current models before and after the strike. The changes in the leakage current model relative to the initial model can include the peak value, the difference in leakage current values ​​between phases, and the amplitude and pattern of leakage current fluctuations in the leakage current curves before and after the strike. For example, if the leakage current model after the strike shows an increase in peak current, a larger difference in leakage current values ​​between phases, or a stronger periodicity in leakage current fluctuations compared to the model before the strike, it proves that the lightning strike affected the insulation performance of the cable insulation layer, reducing the insulation performance of the monitored cable.

[0076] In this application example, a cable information acquisition module is used to acquire the cable's location information and operating parameters; a leakage current acquisition module is used to acquire the leakage current of the target cable; an initial model construction module is used to construct an initial model based on the cable's operating parameters and the leakage current; a lightning strike data acquisition module is used to acquire data information on lightning strike events occurring within the monitoring range, including lightning strike point information and lightning current information; a model iteration module is used to acquire a leakage current model after a lightning strike event; and an impact index determination module is used to determine the impact index of the lightning strike event based on the change in the leakage current model relative to the initial model. This technical solution can generate a model based on the cable's performance after a lightning strike, enabling effective damage prediction and timely maintenance of the cable's insulation layer, thus preventing damage to the insulation layer from affecting the normal operation of the power system.

[0077] Example 2

[0078] Figure 2 This is a schematic diagram of the leakage current model construction device based on lightning strike data provided in Embodiment 2 of this application. This solution makes a further improvement to the above embodiment, specifically: the model iteration module is further configured to: reacquire the leakage current model after a lightning strike event, and iterate the leakage current model before the lightning strike event back to the initial model;

[0079] Accordingly, the device also includes:

[0080] The impact information determination module is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model.

[0081] like Figure 2 As shown, it specifically includes the following:

[0082] The cable information acquisition module 110 is used to acquire the cable's location information and its operating parameters.

[0083] The leakage current acquisition module 120 is used to acquire the leakage current of the target cable;

[0084] The initial model building module 130 is used to build an initial model based on the operating parameter information of the cable and the leakage current.

[0085] The lightning strike data acquisition module 140 is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0086] Used to obtain a leakage current model after a lightning strike;

[0087] The impact index determination module 160 is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model.

[0088] The device also includes:

[0089] The impact information determination module 170 is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model.

[0090] The model iteration module 150 is also used to: reacquire the leakage current model after the lightning strike event, and iterate the leakage current model before the lightning strike event into the initial model.

[0091] The impact information determination module 170 can be a program design for a smart terminal to determine the impact weights of various data information related to a lightning strike event. The impact weights can be the relative proportions of the influence of information such as lightning strike point data and lightning current data on the insulation effect of the cable insulation layer. Specifically, the smart terminal can analyze and statistically analyze the changes in leakage current models of multiple lightning strike events relative to the initial model, calculate the individual impact results of lightning strike point data and lightning current data on the insulation effect of the cable insulation layer while keeping other data information constant, and determine the respective impact weights of lightning strike point data and lightning current data based on these results. For example, if the smart terminal analysis shows that, under other conditions remaining constant, for every 1 kA increase in lightning current data, the leakage current increases by 0.4 microamps, then the impact weight of the lightning current data is:

[0092] 0.4 ÷ 1 × 100% = 40%;

[0093] Using a method similar to that described above, the influence weight of lightning current data can be calculated to be 40%.

[0094] The advantage of this scheme is that it takes into account the varying degrees to which different data information during a lightning strike affects the insulation effect of the cable insulation layer, making the prediction of the insulation effect of the cable insulation layer more accurate.

[0095] Example 3

[0096] Figure 3 This is a schematic diagram of the leakage current model construction device based on lightning strike data provided in Embodiment 3 of this application. This solution makes a further improvement on the above embodiment, specifically: the influence information determination module is specifically used to: determine the distance information between the lightning strike point and the cable based on the lightning strike point information and the cable's location information in the lightning strike event data;

[0097] Based on the change of the iterated leakage current model relative to the initial model, and the distance information of each lightning strike event, the influence weight of the lightning strike point information in the data information of the lightning strike event is determined.

[0098] like Figure 3 As shown, it specifically includes the following:

[0099] The cable information acquisition module 110 is used to acquire the cable's location information and its operating parameters.

[0100] The leakage current acquisition module 120 is used to acquire the leakage current of the target cable;

[0101] The initial model building module 130 is used to build an initial model based on the operating parameter information of the cable and the leakage current.

[0102] The lightning strike data acquisition module 140 is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0103] Used to obtain a leakage current model after a lightning strike;

[0104] The impact index determination module 160 is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model.

[0105] The impact information determination module 170 is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model.

[0106] The model iteration module 150 is also used to: reacquire the leakage current model after the lightning strike event, and iterate the leakage current model before the lightning strike event into the initial model.

[0107] The influence information determination module 170 is further configured to: determine the distance information between the lightning strike point and the cable based on the lightning strike point information and the cable location information in the lightning strike event data information; and determine the influence weight of the lightning strike point information in the lightning strike event data information based on the change of the iterated leakage current model relative to the initial model and the distance information of each lightning strike event.

[0108] One way to determine the distance between a lightning strike point and a cable is to calculate the distance between the two points using their two-dimensional planar coordinates. For example, if the spatial coordinates of the cable being monitored are (x1, y1) and the spatial coordinates of the lightning strike point are (x2, y2), then the distance between the lightning strike point and the cable is:

[0109]

[0110] Where s is the distance between the lightning strike point and the cable. Using a similar algorithm, the distance between the lightning strike point and the cable can be obtained. The influence weight of the lightning strike point information can be determined based on the impact of the distance information of each lightning strike event on the change in the leakage current model relative to the initial model. For example, by selecting multiple sets of data with similar lightning currents (the difference in lightning current values ​​is less than a specified value, e.g., 15 amps), and calculating that the average change in the leakage current model relative to the initial model is 0.6 for every 1 kilometer change in distance information, the influence weight of the lightning strike point information is:

[0111] 0.6 ÷ 1 × 100% = 60%;

[0112] Using a method similar to the one described above, the influence weight of the lightning strike point information can be calculated to be 60%.

[0113] The advantage of this scheme is that it allows us to obtain the influence weight of lightning strike point information through the analysis of multiple sets of data, making the calculation results more consistent with the actual situation.

[0114] Example 4

[0115] Figure 4 This is a schematic diagram of the structure of the leakage current model construction device based on lightning strike data provided in Embodiment 4 of this application. This solution makes a further improvement to the above embodiment, specifically: the influence information determination module is specifically used to: determine the influence weight of the lightning current information in the data information of the lightning strike event based on the change of the iterated leakage current model relative to the initial model, and the lightning current information of each lightning strike event.

[0116] like Figure 4 As shown, it specifically includes the following:

[0117] The cable information acquisition module 110 is used to acquire the cable's location information and its operating parameters.

[0118] The leakage current acquisition module 120 is used to acquire the leakage current of the target cable;

[0119] The initial model building module 130 is used to build an initial model based on the operating parameter information of the cable and the leakage current.

[0120] The lightning strike data acquisition module 140 is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0121] Used to obtain a leakage current model after a lightning strike;

[0122] The impact index determination module 160 is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model.

[0123] The impact information determination module 170 is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model.

[0124] The model iteration module 150 is also used to: reacquire the leakage current model after the lightning strike event, and iterate the leakage current model before the lightning strike event into the initial model.

[0125] The influence information determination module 170 is further configured to: determine the influence weight of the lightning current information in the data information of the lightning strike event based on the amount of change of the iterated leakage current model relative to the initial model and the lightning current information of each lightning strike event.

[0126] The influence weight of lightning current information in lightning strike event data can be determined by assessing the impact of each lightning strike's lightning current information on the change in the leakage current model relative to the initial model. For example, by selecting multiple sets of data where the distance between the lightning strike point and the cable's measured point is similar (the distance difference is less than a specified value, e.g., 20 meters), calculations show that for every 1 kA increase in lightning current, the leakage current increases by 0.4 microamps. Therefore, the influence weight of the lightning current data is:

[0127] 0.4 ÷ 1 × 100% = 40%;

[0128] Using a method similar to that described above, the influence weight of lightning current data can be calculated to be 40%.

[0129] The advantage of this scheme is that the influence weight of lightning current information can be obtained by analyzing multiple sets of data, making the calculation results more consistent with the actual situation.

[0130] Example 5

[0131] Figure 5 This is a schematic diagram of the leakage current model construction device based on lightning strike data provided in Embodiment 5 of this application. This solution makes a further improvement on the above embodiment, specifically: the influence information determination module is specifically used to: obtain the peak current of each lightning strike event; and determine the influence sub-weight of the peak current in the data information of the lightning strike event based on the change of the iterated leakage current model relative to the initial model and the peak current of each lightning strike event.

[0132] like Figure 5 As shown, it specifically includes the following:

[0133] The cable information acquisition module 110 is used to acquire the cable's location information and its operating parameters.

[0134] The leakage current acquisition module 120 is used to acquire the leakage current of the target cable;

[0135] The initial model building module 130 is used to build an initial model based on the operating parameter information of the cable and the leakage current.

[0136] The lightning strike data acquisition module 140 is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0137] Used to obtain a leakage current model after a lightning strike;

[0138] The impact index determination module 160 is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model.

[0139] The impact information determination module 170 is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model.

[0140] The model iteration module 150 is also used to: reacquire the leakage current model after the lightning strike event, and iterate the leakage current model before the lightning strike event into the initial model.

[0141] The influence information determination module 170 is further configured to: determine the influence weight of the lightning current information in the data information of the lightning strike event based on the amount of change of the iterated leakage current model relative to the initial model and the lightning current information of each lightning strike event.

[0142] The impact information determination module 170 is further configured to: obtain the peak current of each lightning strike event; and determine the impact sub-weight of the peak current in the data information of the lightning strike event based on the change of the iterated leakage current model relative to the initial model and the peak current of each lightning strike event.

[0143] The peak current of each lightning strike event can be the largest current value detected in each event. The influence sub-weight of the peak current can be the proportion of the peak current's impact on the cable insulation effect. The influence sub-weight of the peak current can be determined by finding multiple sets of similar data (excluding the peak current) from a large dataset and calculating the average change in the leakage current model relative to the initial model as the peak current changes. For example, if the leakage current changes by 0.12 microamps for every 1 kA change in peak current, then the influence sub-weight of the peak current is:

[0144] 0.12 ÷ 1 × 100% = 12%;

[0145] Using a method similar to that described above, the influence sub-weight of the peak current can be calculated to be 12%.

[0146] The advantage of this scheme is that the influence weight of the peak current can be obtained by analyzing multiple sets of data, making the calculation results more accurate and reasonable.

[0147] Example 6

[0148] Figure 6This is a schematic diagram of the structure of the leakage current model construction device based on lightning strike data provided in Embodiment Six of this application. This solution makes a further improvement on the above embodiment, specifically: the influence information determination module is specifically used to: obtain the charge amount of each lightning strike event; and determine the influence sub-weight of the charge amount in the data information of the lightning strike event based on the change of the iterated leakage current model relative to the initial model and the charge amount of each lightning strike event.

[0149] like Figure 6 As shown, it specifically includes the following:

[0150] The cable information acquisition module 110 is used to acquire the cable's location information and its operating parameters.

[0151] The leakage current acquisition module 120 is used to acquire the leakage current of the target cable;

[0152] The initial model building module 130 is used to build an initial model based on the operating parameter information of the cable and the leakage current.

[0153] The lightning strike data acquisition module 140 is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information;

[0154] Used to obtain a leakage current model after a lightning strike;

[0155] The impact index determination module 160 is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model.

[0156] The impact information determination module 170 is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model.

[0157] The model iteration module 150 is also used to: reacquire the leakage current model after the lightning strike event, and iterate the leakage current model before the lightning strike event into the initial model.

[0158] The influence information determination module 170 is further configured to: determine the influence weight of the lightning current information in the data information of the lightning strike event based on the amount of change of the iterated leakage current model relative to the initial model and the lightning current information of each lightning strike event.

[0159] The influence information determination module 170 is further configured to: obtain the charge amount of each lightning strike event; and determine the influence sub-weight of the charge amount in the data information of the lightning strike event based on the change of the iterated leakage current model relative to the initial model and the charge amount of each lightning strike event.

[0160] The charge amount in each lightning strike event can be the total amount of charge released by the lightning strike detected in each event. The sub-weight of the charge amount's influence can be the proportion of the charge amount in the lightning current data affecting the insulation effect of the cable insulation layer. The sub-weight of the charge amount's influence can be determined by finding multiple sets of similar data (excluding charge amount) through large datasets and calculating the average change in the leakage current model relative to the initial model as the charge amount changes. For example, when the leakage current changes by 3.8 microamps for every 10 coulombs change in charge, the sub-weight of the peak current's influence is:

[0161] 3.8 ÷ 10 × 100% = 38%;

[0162] Using a method similar to that described above, the influence sub-weight of the peak charge can be calculated to be 38%.

[0163] The advantage of this scheme is that it allows for the analysis of multiple sets of data to obtain the sub-weights of the charge quantity's influence, making the calculation results more accurate and reasonable.

[0164] Example 7

[0165] Figure 7 This is a flowchart illustrating the leakage current model construction method based on lightning strike data provided in Embodiment 7 of this application. Figure 7 As shown, the specific steps include the following:

[0166] S701, The cable information acquisition module is used to acquire the cable's location information and cable operating parameter information;

[0167] S702. The leakage current of the target cable is collected by the leakage current acquisition module;

[0168] S703. Based on the operating parameter information of the cable and the leakage current, an initial model is constructed using the initial model construction module;

[0169] S704. Obtain data information of lightning strike events occurring within the monitoring range through the lightning strike data acquisition module; wherein, the data information includes lightning strike point information and lightning current information;

[0170] S705. Obtain the leakage current model after a lightning strike event through the model iteration module;

[0171] S706. Based on the change of the leakage current model relative to the initial model, the impact index of the lightning strike event is determined by the impact index determination module.

[0172] Based on the above technical solution, optionally, a leakage current model can be obtained after a lightning strike event through a model iteration module, including:

[0173] After a lightning strike, the leakage current model is reacquired, and the leakage current model before the lightning strike is iterated to the initial model.

[0174] Accordingly, after obtaining the leakage current model after a lightning strike, the method further includes:

[0175] Based on the change in the leakage current model relative to the initial model, the influence weight of each data information of the lightning strike event is determined by the influence information determination module.

[0176] Based on the above technical solution, optionally, according to the change of the iterative leakage current model relative to the initial model, the influence weight of each data information of the lightning strike event is determined by the influence information determination module, including:

[0177] Based on the lightning strike point information and the cable location information in the data information of the lightning strike event, the distance information between the lightning strike point and the cable is determined;

[0178] Based on the change in the iterated leakage current model relative to the initial model, and the distance information of each lightning strike event, the influence weight of the lightning strike point information in the lightning strike event data is determined. In this embodiment, a cable information acquisition module is used to acquire the cable's location information and operating parameters; a leakage current acquisition module is used to acquire the leakage current of the target cable; based on the cable's operating parameters and the leakage current, an initial model is constructed using an initial model construction module; a lightning strike data acquisition module is used to acquire data on lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information; a leakage current model is acquired after a lightning strike event using a model iteration module; based on the change in the leakage current model relative to the initial model, an influence index determination module determines the influence index of the lightning strike event. Through the above-described leakage current model construction method based on lightning strike data, a model can be generated based on the cable's performance after a lightning strike, which can be used for effective damage prediction and timely maintenance of the cable's insulation layer, avoiding the impact on the normal operation of the power system due to insulation layer damage.

[0179] The leakage current model construction method based on lightning strike data provided in this application corresponds to the leakage current model construction device based on lightning strike data provided in the above embodiments. It has the same functional modules and beneficial effects, and will not be described again here to avoid repetition.

[0180] Example 8

[0181] like Figure 8 As shown, this application embodiment also provides an electronic device 800, including a processor 801, a memory 802, and a program or instructions stored in the memory 802 and executable on the processor 801. When the program or instructions are executed by the processor 801, they implement the various processes of the above-described leakage current model construction device embodiment based on lightning strike data and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0182] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0183] Example 9

[0184] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described leakage current model construction device embodiment based on lightning strike data and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0185] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0186] Example 10

[0187] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described embodiment of the leakage current model construction device based on lightning strike data, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0188] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0189] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0190] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0191] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0192] The above description is merely a preferred embodiment and the technical principles employed in this application. This 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 depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A device for constructing a leakage current model based on lightning strike data, characterized in that, The device includes: The cable information acquisition module is used to acquire the cable's location information and operating parameters. Leakage current acquisition module, used to acquire leakage current of the target cable; An initial model building module is used to build an initial model based on the cable's operating parameter information and the leakage current. The lightning strike data acquisition module is used to acquire data information of lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information; The model iteration module is used to obtain the leakage current model after a lightning strike event. The model iteration module is also used for: After a lightning strike, the leakage current model is reacquired, and the leakage current model before the lightning strike is iterated to the initial model. The impact index determination module is used to determine the impact index of the lightning strike event based on the change of the leakage current model relative to the initial model. Accordingly, the device also includes: The impact information determination module is used to determine the impact weight of each data information of the lightning strike event based on the amount of change of the iterative leakage current model relative to the initial model. The influence information determination module is specifically used for: Based on the lightning strike point information and the cable location information in the data information of the lightning strike event, the distance information between the lightning strike point and the cable is determined; Based on the change of the leakage current model relative to the initial model and the distance information of each lightning strike event, the influence weight of the lightning strike point information in the data information of the lightning strike event is determined. The influence weight of the lightning strike point information is determined based on the influence of the distance information of each lightning strike event on the change of the leakage current model relative to the initial model. The influence information determination module is specifically used for: Based on the change of the leakage current model relative to the initial model and the lightning current information of each lightning strike event, the influence weight of the lightning current information in the data information of the lightning strike event is determined. The method for determining the influence weight of the lightning current information in the data information of the lightning strike event is based on the influence of the lightning current information of each lightning strike event on the change of the leakage current model relative to the initial model.

2. The leakage current model construction device based on lightning strike data according to claim 1, characterized in that, The influence information determination module is specifically used for: Obtain the peak current for each lightning strike event; Based on the change of the iterated leakage current model relative to the initial model, and the peak current of each lightning strike event, the influence sub-weight of the peak current in the data information of the lightning strike event is determined.

3. The leakage current model construction device based on lightning strike data according to claim 1, characterized in that, The influence information determination module is specifically used for: Obtain the amount of charge in each lightning strike event; Based on the change in the iterated leakage current model relative to the initial model, and the amount of charge in each lightning strike event, the influence sub-weight of the charge in the data information of the lightning strike event is determined.

4. A method for constructing a leakage current model based on lightning strike data, characterized in that, The method includes: The cable location information and cable operating parameter information are obtained through the cable information acquisition module; The leakage current of the target cable is collected using a leakage current acquisition module; Based on the cable's operating parameters and the leakage current, an initial model is constructed using the initial model construction module. The lightning strike data acquisition module acquires data information on lightning strike events occurring within the monitoring range; wherein, the data information includes lightning strike point information and lightning current information; The leakage current model is obtained after a lightning strike by the model iteration module, which includes: re-obtaining the leakage current model after the lightning strike by the model iteration module, and iterating the leakage current model before the lightning strike to the initial model; Based on the change of the leakage current model relative to the initial model, the impact index of the lightning strike event is determined by the impact index determination module. Accordingly, after obtaining the leakage current model after a lightning strike, the method further includes: The influence information determination module determines the influence weight of each data information of the lightning strike event based on the change of the iterative leakage current model relative to the initial model. Based on the change in the iterative leakage current model relative to the initial model, the influence weights of each data point related to the lightning strike event are determined by the influence information determination module, including: Based on the lightning strike point information and the cable location information in the data information of the lightning strike event, the distance information between the lightning strike point and the cable is determined. The influence weight of the lightning strike point information is determined based on the influence of the distance information of each lightning strike event on the change of the leakage current model relative to the initial model. Based on the change of the leakage current model relative to the initial model and the distance information of each lightning strike event, the influence weight of the lightning strike point information in the data information of the lightning strike event is determined. The influence weight of the lightning current information in the data information of the lightning strike event is determined based on the influence of the lightning current information of each lightning strike event on the change of the leakage current model relative to the initial model.

5. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein when the program or instructions are executed by the processor, they implement the steps of the leakage current model construction method based on lightning strike data as described in claim 4.

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