High-voltage single-core cable monitoring method and system, electronic equipment and storage medium

Abstract

The invention provides a high-voltage single-core cable monitoring method and system, electronic equipment and a storage medium, and belongs to the technical field of high-voltage power distribution. The first operation data comprises operation data corresponding to at least one operation parameter of a grounding current, a load current, a protection current and a cross interconnection current; if the first operation data meets a first preset condition, acquiring second operation data of the target high-voltage cable; the second operation data is operation data of the target high-voltage cable in the first historical time period; and determining whether the target high-voltage cable has a fault according to the first operation data and the second operation data. According to the high-voltage single-core cable monitoring method and system, the electronic equipment and the storage medium provided by the invention, the fault detection accuracy of the high-voltage single-core cable can be ensured.

Description

Technical Field

[0001] The present application belongs to the field of high-voltage power distribution technology, and more specifically, relates to a high-voltage single-core cable monitoring method and system, electronic equipment, and storage medium. Background Art

[0002] Most high-voltage single-core cables are main power lines or connecting lines between distribution rooms, factories, power plants, and regions, and they carry a large load. If the outer sheath of the high-voltage single-core cable is damaged during the monitoring cycle, it will cause direct grounding at both ends of the line, generating a circular current, which is prone to cable blasting accidents and causing serious losses. Therefore, it is necessary to perform fault monitoring on the high-voltage single-core cable.

[0003] How to ensure the accuracy of fault detection is a technical problem that needs to be solved urgently in this application. Summary of the Invention

[0004] The purpose of this application is to provide a high-voltage single-core cable monitoring method and system, electronic equipment, and storage medium to ensure the accuracy of fault detection while improving detection efficiency.

[0005] A first aspect of an embodiment of the present application provides a high-voltage single-core cable monitoring method, comprising: Monitoring first operating data of a target high-voltage cable, the first operating data including at least operating data corresponding to at least one operating parameter of a ground current, a load current, a protection current, and a cross-connection current; If the first operating data satisfies a first preset condition, obtaining second operating data of the phase circuit; the second operating data is operating data of the phase circuit in a first historical time period; It is determined whether the target high-voltage cable has a fault according to the first operating data and the second operating data.

[0006] A second aspect of the embodiments of the present application provides a high-voltage single-core cable monitoring system, comprising: a monitoring module, configured to monitor first operating data of a target high-voltage cable, wherein the first operating data includes operating data corresponding to at least one operating parameter of a ground current, a load current, a protection current, and a cross-connection current; an acquisition module, configured to acquire second operating data of the phase circuit if the first operating data satisfies a first preset condition; the second operating data being operating data of the phase circuit within a first historical time period; A determination module is configured to determine whether the target high-voltage cable has a fault based on the first operation data and the second operation data.

[0007] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned high-voltage single-core cable monitoring method when executing the computer program.

[0008] In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned high-voltage single-core cable monitoring method are implemented.

[0009] The beneficial effects of the high-voltage single-core cable monitoring method and system, electronic device, and storage medium provided in the embodiments of the present application are: through real-time monitoring of operating parameters such as the grounding current of the target high-voltage cable, electrical data of different dimensions of the target high-voltage cable during operation can be quickly obtained; by using the first preset condition as a trigger condition, when there is a safety hazard in the target high-voltage cable, historical data can be further obtained for judgment, avoiding misjudgment due to special factors, ensuring the accuracy of fault detection, improving detection efficiency compared to traditional manual detection, and ensuring detection safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0011] Figure 1 A schematic diagram of a flow chart of a high-voltage single-core cable monitoring method provided in one embodiment of the present application; FIG2 is a schematic diagram of a common grounding method for a high-voltage single-core cable provided in an embodiment of the present application; Figure 2a A schematic diagram of a grounding method for a high-voltage single-core cable provided in one embodiment of the present application; Figure 2b A schematic diagram of another grounding method for a high-voltage single-core cable provided in an embodiment of the present application; Figure 2c A schematic diagram of another grounding method for a high-voltage single-core cable provided in an embodiment of the present application; Figure 2d A schematic diagram of another grounding method for a high-voltage single-core cable provided in an embodiment of the present application; Figure 3 A structural block diagram of a high-voltage single-core cable monitoring system provided in one embodiment of the present application; Figure 4A schematic structural diagram of a high-voltage single-core cable monitoring system provided in one embodiment of the present application; Figure 5 A schematic block diagram of an electronic device provided in one embodiment of the present application; Wherein, the reference numerals: 1. Cable terminal; 2. Direct grounding box; 3. Protective grounding box; 4. Zero-sequence current transformer; 5. Circulating current acquisition system; 6. Switch; 7. Data analysis system; 8. Gateway; 9. Control center. DETAILED DESCRIPTION

[0012] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0013] In order to make the purpose, technical solutions and advantages of this application clearer, specific embodiments will be described below with reference to the accompanying drawings.

[0014] Please refer to Figure 1 , Figure 1 A flowchart of a high-voltage single-core cable monitoring method provided in an embodiment of the present application, which can be executed by an electronic device, includes: S101: Monitor first operating data of a target high-voltage cable.

[0015] In this embodiment, there are four common grounding methods for high-voltage single-core cables: Figure 2a-2d As shown. Figure 2a In the circuit, one end of the line is directly connected to the ground through a direct grounding box, and the other end of the line is connected to a protective grounding box; Figure 2b In the circuit, one end of the line is connected to the protective grounding box, and the other end of the line is connected to the protective grounding box; there is a grounding circuit in the middle of the line that is directly connected to the ground through the direct grounding box; Figure 2c In the circuit, one end of the line is directly connected to the ground through a direct grounding box, and the other end of the line is also directly connected to the ground through a direct grounding box; Figure 2dIn a system, one end of the line is directly connected to the ground through a direct grounding box, and the other end is also connected to the ground through a grounding box. In the middle of the line, two consecutive endpoints are connected to the protective grounding box, and then one endpoint is directly connected to the ground through a direct grounding box. Grounding is achieved through cross-connected grounding. When cable insulation is damaged, the metal sheath becomes charged. Protective grounding allows the fault current to flow quickly to the ground, reducing the potential of the metal sheath. This prevents electric shock if a person comes into contact with the live metal part of the cable. Protective grounding also reduces the potential difference between electrical equipment to a certain extent, preventing back-flash and ensuring the stable operation of the power system.

[0016] In this embodiment, the phase circuit of a high-voltage single-core cable can be monitored in real time. Typically, the high-voltage single-core cable is a three-phase circuit. Any monitored high-voltage single-core cable can be identified as a target high-voltage cable, and first operating data corresponding to the target high-voltage cable can be acquired and recorded in real time. The first operating data may include operating data corresponding to at least one operating parameter of the ground current, load current, protection current, and cross-connection current. The ground current can be used to characterize the current when the target high-voltage cable is connected to the ground through a direct grounding box. The ground current may include a current value and a current signal. Under normal circumstances, the current value of the ground current is less than a first threshold, and the difference between the current values ​​of the ground currents corresponding to two different phase circuits is less than a second threshold. The load current can be used to characterize the actual carrying current of the target high-voltage cable, reflecting the current value of the working load in the target high-voltage cable. The protection current is used to characterize the current when the target high-voltage cable is connected to the ground through a protective grounding box. Under normal circumstances, the current value of the protection current is less than or equal to a third threshold. The cross-connection current can be used to characterize the current between the metal sheaths of each cable segment after the cables corresponding to each phase circuit in the high-voltage single-core cable are divided into several segments through cross-connection. Under normal circumstances, the current value of the cross-connection current is less than the product of the load current and a preset proportional coefficient. As an example, the first threshold value can be set to 5A, the second threshold value can be set to 10A, the preset proportional coefficient can be set to 10%, and the third threshold value can be set to 0. Specifically, the first threshold value, the second threshold value, the preset proportional coefficient, and the third threshold value can be set according to actual conditions and are not limited in this application.

[0017] In this embodiment, the first operating data acquired in real time can also be pre-processed, stored and displayed in real time. The real-time status of each operating parameter can be determined by displaying the operating curve of the operating data corresponding to each operating parameter, which facilitates the search and further analysis of the operating data.

[0018] Specifically, in this embodiment, through real-time monitoring of the first operating data, it is convenient to analyze the abnormal conditions in the operation of the high-voltage single-core cable in the first time. At the same time, these operating data can reflect the operating status of the cable from multiple dimensions, and can provide accurate multi-dimensional data for monitoring cable faults, thereby ensuring the accuracy of subsequent fault detection.

[0019] S102: If the first operating data meets a first preset condition, obtain second operating data of the target high-voltage cable.

[0020] In this embodiment, the first operating data meeting the first preset condition may include at least one of the following: the current value of the ground current is greater than or equal to a first threshold; the difference between the current values ​​of the ground currents corresponding to two different phase circuits is greater than or equal to a second threshold; the current value of the cross-connected circulating current is greater than or equal to the product of the current value of the load current and a preset proportional coefficient; and the current value of the protective current is greater than a third threshold. By comparing each operating data with the first preset condition in real time, it is possible to quickly determine whether the cable has a potential fault. If the first preset condition is met, it can be determined that the high-voltage single-core cable is at risk of failure (for example, if the first preset condition is met, it indicates the probability of the high-voltage single-core cable having a fault risk). Whether the high-voltage single-core cable has a fault can be further determined based on the second operating data.

[0021] In this embodiment, when the operating data meets the first preset condition, second operating data of the target high-voltage cable can be further obtained. The second operating data is the operating data of the target high-voltage cable in the first historical time period, that is, the historical operating data of the target high-voltage cable. The second operating data includes operating data corresponding to various operating parameters of the target high-voltage cable at each time point in the first historical time period from the current time interval. The operating parameters include the operating parameters in the first operating data. The second operating data may also include the operating status of the target high-voltage cable, which may include a fault state or a normal state. By combining the second operating data for secondary analysis, the accuracy of fault diagnosis can be further improved, providing a data foundation for predictive maintenance of the target high-voltage cable.

[0022] S103: Determine whether the target high-voltage cable has a fault based on the first operating data and the second operating data.

[0023] In this embodiment, the current signal of the grounding current in the first operating data can be collected in real time, and the current signal can be processed by wavelet transform to decompose the current signal into frequency segments corresponding to different frequency ranges to obtain the current signal corresponding to each frequency segment. Among them, the preset frequency segment can be set to a frequency range greater than or equal to the first frequency domain threshold and less than or equal to the second frequency threshold, the second frequency threshold is greater than the first frequency threshold, the first frequency domain threshold and the second frequency threshold are both within the frequency range corresponding to the current signal, and the size of the first frequency threshold and the second frequency threshold can be determined according to actual conditions, such as according to the distribution range of the frequency segment of the current signal when the cable fails in the historical data. The first energy value corresponding to the grounding current in the preset frequency segment can be determined based on the current signal corresponding to different frequency segments, and the first energy value It can be calculated by the following formula (1).

[0024] = (1) In formula (1), x[n] can represent the current signal corresponding to the nth frequency band in the preset frequency band, n , N is the number of frequency segments, and each element x[n] corresponds to the nth current signal. The first energy value represents a first energy value, which is used to quantitatively represent the energy of the ground current in the first operating data within a preset frequency range, and represents the energy characteristics of the current signal within the preset frequency range.

[0025] After obtaining the first energy value, the operating data in the second operating data corresponding to the operating state of each operating data point can be obtained. The operating data in the normal state can be subjected to wavelet transform processing based on the above method to determine historical signal data corresponding to a preset frequency band. The historical signal data includes signal data corresponding to the operating data at different time points.

[0026] After obtaining the historical signal data, a second energy value may be determined based on the historical signal data. The second energy value may be used to represent the energy characteristics of the current signal in a normal state in the historical signal data. The second energy value may be determined by: The weights corresponding to the signal data at different time points in the historical signal data can be determined, and the weight values The interval Δ between the timestamps of each time point corresponding to the current moment and the historical signal data It shows a decaying relationship, as shown in formula (2).

[0027] = (2) In formula (2), Δ = Indicates the interval between the timestamp of the current moment and any time point corresponding to the historical signal data. Indicates the timestamp corresponding to the current moment. The timestamp interval of any time point in the time point corresponding to the historical signal data can be determined according to the actual situation, such as days, hours, etc. is an attenuation factor, which can also be determined based on actual conditions, such as 0.01, and is used to control the weight decay rate. Therefore, if the time interval between the first time point and the current moment is greater than the time interval between the second time point and the current moment, the weight corresponding to the first time point is less than the weight corresponding to the second time point, where the first time point and the second time point are any two different time points corresponding to the historical signal data.

[0028] Furthermore, the weights corresponding to different time points can be normalized to ensure that ; The energy values ​​of the signal data corresponding to different time points are weighted based on the normalized weights to obtain the second energy value corresponding to the second running data, as shown in formula (3): = (3) In formula (3), represents the energy value of the kth running data, N represents the number of historical data, Represents the second energy value.

[0029] After obtaining the second energy value corresponding to the second operating data, if the sum of the second energy value and the preset current threshold is less than the first energy value, it is determined that a fault exists in the target high-voltage cable.

[0030] In this embodiment, by acquiring the energy value of a preset frequency component, subtle changes in current can be quickly captured. When determining the second energy value, a time-series-based weighted processing mechanism is introduced. Because the cable's recent operating status and operating data are more valuable as a reference, this further enhances the accuracy of fault diagnosis while avoiding misjudgments that may be caused by interference from older data. Furthermore, because the weights are dynamically adjusted based on the time series, they can adaptively adapt to gradual changes in the high-voltage cable's operating status, ensuring long-term stable and reliable operation.

[0031] In one embodiment of the present application, if it is determined that the target high-voltage cable has no fault, the first preset condition may be updated according to the first operating data and the second operating data, which may include: Merging the operation data of the second operation data in a normal state with the first operation data to obtain merged operation data; Determining the operating data in the second operating data whose operating state is a fault state; For each operating parameter, determine a first statistical feature corresponding to the operating parameter based on the merged operating data, and determine a second statistical feature corresponding to the operating parameter based on the operating data of the fault state; Determine a first preset condition based on the first statistical feature and the second statistical feature In this embodiment, after obtaining the merged operating data and the fault-state operating data, a first statistical feature corresponding to each operating parameter can be determined based on the merged operating data, and a second statistical feature corresponding to the operating parameter can be determined based on the fault-state operating data. The first preset condition can be determined based on the first and second statistical features. The first and second statistical features can include their respective mean values ​​and their respective variances.

[0032] For each operating parameter, the difference between the average value of the operating data in the fault state and the average value of the merged operating data can be determined as a first difference, and the difference between the variance of the operating data in the fault state and the variance of the merged operating data can be determined as a second difference. A threshold corresponding to each operating parameter can be determined based on the first and second differences. For example, for ground current, the product of the second difference corresponding to the ground current and a preset threshold value can be determined, and the sum of the first difference corresponding to the ground current and the product can be determined as the updated first threshold value. For protection current, the product of the second difference corresponding to the protection current and a preset threshold value can be determined, and the sum of the first difference corresponding to the protection current and the product can be determined as the updated third threshold value.

[0033] It is also possible to determine, for the operating data in the fault state, the difference between the ground currents corresponding to each two different phase circuits as a third difference; for the merged operating data, the difference between the ground currents corresponding to each two different phase circuits as a fourth difference, and the product between the fourth difference and the preset threshold can be determined, and the sum of the third difference and the product is determined as the updated second threshold.

[0034] It is also possible to determine the difference between the average value of the cross-interconnected circulation current obtained in the operating data of the fault state and the average value of the cross-circulation current in the merged operating data as the fifth difference, determine the difference between the variance of the cross-interconnected circulation current obtained in the operating data of the fault state and the variance of the cross-circulation current in the merged operating data as the sixth difference, determine the product between the sixth difference and the preset threshold, determine the sum of the fifth difference and the product, and then determine the ratio between the sum and the average value of the load current in the operating data under the fault state as the updated preset proportional coefficient.

[0035] At the same time, the present application is not limited to determining the first preset condition based only on the average value and the variance, and the first preset condition can also be determined according to actual conditions.

[0036] By continuously updating the first preset condition, the monitoring method can be given self-optimization capabilities. As the cable ages, the equipment is updated, or the environment changes, the monitoring system can adaptively adjust the threshold over time, maintaining stable monitoring performance without the need for frequent manual adjustments, reducing operation and maintenance costs and improving monitoring reliability.

[0037] In one embodiment of the present application, the method for determining whether a target high-voltage cable has a fault according to the first operating data and the second operating data may also be performed in the following manner: Determining the operating data of the second operating data in a normal state, and obtaining the operating data in a fault state; the normal state operating data includes the operating data of each operating parameter in a normal state, and the fault state operating data includes the operating data of each operating parameter in an abnormal state; For each operating parameter, obtain the mean change range between the operating data of the operating parameter in a normal state and the operating data of the operating parameter in a fault state, and determine the weight of the operating parameter according to the mean change range; Determine a first operation vector and a second operation vector, where the first operation vector is the operation vector corresponding to the first operation data, and the second operation vector is the second operation vector corresponding to each time point in the second operation data; For each operating parameter, determining a first distance between the first operating vector and the second operating vector according to a weight of the operating parameter; determining, in the second running vector, a similar running vector corresponding to the first running vector according to the first distance; It is determined whether the target high-voltage cable has a fault according to the operating status corresponding to the similar operating vector.

[0038] In this embodiment, assuming that there are d operating parameters, the first operating data can be expressed as , the operating data at each time point in the second operating data can be expressed as , where each item in the X vector and the Y vector corresponds to the operating data of the same operating parameters.

[0039] Obtain the operating data for the fault state and the operating data for the normal state from the historical data from the second operating data. For each operating parameter, calculate the mean variation between its average value in the fault state and its average value in the normal state. Determine the weight of each operating parameter based on this variation. The larger the variation, the more important the parameter is in fault diagnosis, and the higher the weight. The weight can be determined using a normalization method, as shown in Formula (4).

[0040] = (4) In formula (4), m represents the number of operating parameters, Indicates the change amplitude of the i-th parameter.

[0041] A first operating vector corresponding to the first operating data can be obtained, and a second operating vector corresponding to each time point in the second operating data can be obtained. A first distance between the first operating vector and each second operating vector can be determined based on the weight of the operating parameter. Based on the first distance, similar operating data to the first operating data can be determined in the second operating data. Based on the fault state corresponding to the similar operating data, it can be determined that a fault exists in the target high-voltage cable. The calculation method of the first distance D(X, Y) is shown in Formula (5): D(X,Y) = (5) In formula (5), X represents the first operation vector, Y represents the operation vector of the operation data corresponding to any time point in the second operation vector, m represents the number of operation parameters, represents the weight of the i-th operating parameter, represents the i-th operating parameter in the first operating vector, Represents the i-th operating parameter in the vector at any time point in the second operating vector.

[0042] If there is a vector in the second operating vector that makes the calculated first distance less than the preset distance threshold, then the operating vector is determined to be a similar operating vector. Based on the operating states corresponding to all similar operating vectors, it can be determined that the target high-voltage cable has a fault. If at least one operating vector in the similar operating vectors is in a fault state, then it is determined that the target high-voltage cable has a fault. By comparing the first operating vector and the second operating vector and determining the weight based on the amplitude of the change in the operating parameters, it is possible to more accurately capture abnormal features in the operating data, thereby improving the accuracy of fault judgment; using the fault state of similar operating data for judgment is equivalent to drawing on historical experience, avoiding the limitations of judgment based on a single data point, and further improving the reliability of fault judgment.

[0043] Corresponding to the high-voltage single-core cable monitoring method of the above embodiment, Figure 3 This is a structural block diagram of a high-voltage single-core cable monitoring system provided by an embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 3 The high-voltage single-core cable monitoring system 30 includes: a monitoring module 31 , an acquisition module 32 and a determination module 33 .

[0044] The monitoring module 31 is configured to monitor first operating data of the target high-voltage cable, the first operating data including operating data corresponding to at least one operating parameter of the ground current, the load current, the protection current, and the cross-connection current; an acquisition module 32 for acquiring second operation data of the target high-voltage cable if the first operation data satisfies a first preset condition; the second operation data is operation data of the target high-voltage cable within a first historical time period; The determination module 33 is configured to determine whether a target high-voltage cable has a fault according to the first operation data and the second operation data.

[0045] In one embodiment of the present application, the monitoring module 31 is further used to: monitor whether the first operating data meets a first preset condition, the first preset condition including at least one of the following: at least one ground current is greater than or equal to a first threshold; the difference between the ground currents corresponding to two different phase circuits is greater than or equal to a second threshold; the cross-interconnection circulating current is greater than or equal to the product of the load current and a preset proportional coefficient; the protection current is greater than a third threshold.

[0046] The determination module 33 is further used to: perform wavelet transform processing on the grounding current corresponding to the first operating data to obtain a first energy value of a preset frequency segment; obtain operating data in a normal operating state according to the operating state corresponding to each operating data in the second operating data; perform wavelet transform processing on the operating data in the normal state to determine historical signal data corresponding to the preset frequency segment; the historical signal data includes signal data corresponding to the operating data at different time points; determine a second energy value based on the historical signal data; if the sum of the second energy value and the preset current threshold is less than the first energy value and lasts for a first preset time period, it is determined that a fault exists in the target high-voltage cable; wherein the first operating data includes the grounding current.

[0047] The determination module 33 is also used to: determine the weights corresponding to the signal data at different time points in the historical signal data; determine the energy values ​​corresponding to the signal data at each time point; perform weighted processing on each energy value based on the weight to obtain a second energy value corresponding to the second operating data; wherein, if the time interval between the first time point and the current moment is greater than the time interval between the second time point and the current moment, the weight corresponding to the signal data at the first time point is less than the weight corresponding to the signal data at the second time point; the first time point and the second time point are any two time points among different time points.

[0048] The determination module 33 is further configured to: if it is determined that the target high-voltage cable has no fault, update the first preset condition according to the first operating data and the second operating data; The determination module 33 is further used to: merge the operating data in the second operating data whose operating status is normal and the first operating data to obtain the merged operating data; determine the operating data in the second operating data whose operating status is a faulty state; for each operating parameter, determine the first statistical feature corresponding to the operating parameter based on the merged operating data, and determine the second statistical feature corresponding to the operating parameter based on the operating data in the faulty state; and determine the first preset condition based on the first statistical feature and the second statistical feature.

[0049] The determination module 33 is further used to: determine the operating data of the second operating data in a normal operating state, and obtain the operating data in a faulty operating state; the operating data in the normal state includes the operating data of each operating parameter in the normal state, and the operating data in the faulty state includes the operating data of each operating parameter in the abnormal state; for each operating parameter, obtain the mean change amplitude between the operating data of the operating parameter in the normal state and the operating data of the operating parameter in the faulty state, and determine the weight of the operating parameter according to the mean change amplitude; determine a first operating vector and a second operating vector, the first operating vector being the operating vector corresponding to the first operating data, and the second operating vector being the second operating vector corresponding to each time point in the second operating data; for each operating parameter, determine a first distance between the first operating vector and the second operating vector according to the weight of the operating parameter; based on the first distance, determine a similar operating vector corresponding to the first operating vector in the second operating vector; and determine whether the target high-voltage cable has a fault according to the operating state corresponding to the similar operating vector.

[0050] See also Figure 4 , a schematic diagram of the structure of a high-voltage single-core cable monitoring system provided by an embodiment of the present application. Figure 4 During operation, the ground current operating data of the three-wire phase circuits A, B, and C in cable terminal 1 is acquired by measurement systems near direct grounding box 2 and protective grounding box 3. A circulating current acquisition system 5 collects the cross-interconnected circulating currents in the high-voltage single-core cable line. This system monitors the cross-interconnected circulating currents in real time and transmits the data for comparison with the product of the load current and a preset proportional coefficient to determine whether the cross-interconnected circulating currents are abnormal. The collected operating data, including ground currents and cross-interconnected circulating currents, is transmitted via relevant lines to a switch 6. Switch 6 performs data aggregation and preliminary exchange, integrating data from different acquisition systems and transmitting it to subsequent processing equipment. A portion of the data aggregated by switch 6 is transmitted to a data analysis system 7. Data analysis system 7 is equipped with electronic equipment for executing the high-voltage single-core cable monitoring method described in the above embodiment, determining whether the target high-voltage cable is faulty, and transmitting the fault determination results to a gateway 8. Gateway 8 performs protocol conversion and further transmits the data to a control center 9. The control center 9 makes corresponding decisions based on the received fault judgment results, such as arranging operation and maintenance personnel to repair the faulty cable, thereby completing the workflow of the entire system from data collection to fault judgment and decision-making.

[0051] See also Figure 5 , Figure 5 This is a schematic block diagram of an electronic device provided in one embodiment of the present application. Figure 5The electronic device 500 in the embodiment shown may include: one or more processors 501, one or more input devices 502, one or more output devices 503, and one or more memories 504. The processors 501, input devices 502, output devices 503, and memories 504 communicate with each other via a communication bus 505. The memory 504 is used to store computer programs, which include program instructions. The processor 501 is used to execute the program instructions stored in the memory 504. The processor 501 is configured to call the program instructions to execute the functions of the modules / units in the above-mentioned system embodiments, such as Figure 3 The functions of the monitoring module 31, the acquisition module 32 and the determination module 33 are shown.

[0052] It should be understood that in the embodiments of the present application, the processor 501 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0053] The input device 502 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 503 may include a display (LCD, etc.), a speaker, etc.

[0054] The memory 504 may include a read-only memory and a random access memory, and provides instructions and data to the processor 501. A portion of the memory 504 may also include a non-volatile random access memory. For example, the memory 504 may also store information about the device type.

[0055] In a specific implementation, the processor 501, input device 502, and output device 503 described in the embodiments of the present application can execute the implementation methods described in the first and second embodiments of the high-voltage single-core cable monitoring method provided in the embodiments of the present application, and can also execute the implementation methods of the electronic device described in the embodiments of the present application, which will not be repeated here.

[0056] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or system capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0057] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or is about to be output.

[0058] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0059] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0060] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the system embodiments described above are merely schematic. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or can be an electrical, mechanical or other form of connection.

[0061] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0062] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0063] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and such modifications or substitutions should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A high-voltage single-core cable monitoring method, characterized in that: include: Monitoring first operating data of a target high-voltage cable, the first operating data comprising operating data corresponding to at least one operating parameter of a ground current, a load current, a protection current, and a cross-connection current; If the first operating data satisfies a first preset condition, obtaining second operating data of the target high-voltage cable; The second operating data is operating data of the target high-voltage cable in a first historical time period; It is determined whether the target high-voltage cable has a fault according to the first operating data and the second operating data.

2. The method according to claim 1, wherein The first operating data satisfies a first preset condition, including at least one of the following: The ground current is greater than or equal to a first threshold; The difference between the ground currents corresponding to the two different phase circuits is greater than or equal to the second threshold; The cross-connected circulating current is greater than or equal to the product of the load current and a preset proportional coefficient; The protection current is greater than a third threshold.

3. The method according to claim 1, wherein The first operating data includes the ground current, and determining whether the target high-voltage cable has a fault according to the first operating data and the second operating data includes: Performing wavelet transform processing on the ground current to obtain a first energy value in a preset frequency range; According to the operating status corresponding to each operating data in the second operating data, obtaining operating data whose operating status is a normal state; Performing wavelet transform processing on the normal state operation data to determine historical signal data corresponding to the preset frequency band; the historical signal data includes signal data corresponding to the operation data at different time points; determining a second energy value based on the historical signal data; If the sum of the second energy value and the preset current threshold is less than the first energy value, it is determined that the target high-voltage cable has a fault.

4. The method according to claim 3, wherein The determining the second energy value based on the historical signal data comprises: Determining weights corresponding to signal data at different time points in the historical signal data; Determine the energy value corresponding to the signal data at each time point; Performing weighted processing on each energy value based on the weight to obtain a second energy value corresponding to the second operating data; Among them, if the time interval between the first time point and the current moment is greater than the time interval between the second time point and the current moment, the weight corresponding to the signal data at the first time point is less than the weight corresponding to the signal data at the second time point; the first time point and the second time point are any two time points among the different time points.

5. The method according to claim 1, wherein The method further comprises: If it is determined that the target high-voltage cable has no fault, the first preset condition is updated according to the first operating data and the second operating data.

6. The method according to claim 5, wherein Updating the first preset condition according to the first operating data and the second operating data includes: Merging the operation data of the second operation data in a normal state with the first operation data to obtain merged operation data; Determining the operating data whose operating status is a fault state in the second operating data; For each of the operating parameters, determining a first statistical feature corresponding to the operating parameter based on the merged operating data, and determining a second statistical feature corresponding to the operating parameter based on the operating data of the fault state; The first preset condition is determined according to the first statistical feature and the second statistical feature.

7. The method according to claim 1, wherein The determining, based on the first operating data and the second operating data, whether the target high-voltage cable has a fault includes: Determining the operating data of the second operating data in a normal state, and obtaining the operating data in a fault state; the normal state operating data includes the operating data of each operating parameter in the normal state, and the fault state operating data includes the operating data of each operating parameter in the abnormal state; For each operating parameter, obtaining a mean change range between operating data of the operating parameter in the normal state and operating data of the operating parameter in the fault state, and determining a weight of the operating parameter according to the mean change range; Determine a first operation vector and a second operation vector, where the first operation vector is the operation vector corresponding to the first operation data, and the second operation vector is the second operation vector corresponding to each time point in the second operation data; For each operating parameter, determining a first distance between the first operating vector and the second operating vector according to a weight of the operating parameter; determining, in the second running vector, a similar running vector corresponding to the first running vector according to the first distance; It is determined whether the target high-voltage cable has a fault according to the operating state corresponding to the similar operating vector.

8. A high-voltage single-core cable monitoring system, characterized in that: include: a monitoring module, configured to monitor first operating data of a target high-voltage cable, wherein the first operating data includes operating data corresponding to at least one operating parameter of a ground current, a load current, a protection current, and a cross-connection current; an acquisition module, configured to acquire second operation data of the target high-voltage cable if the first operation data satisfies a first preset condition; The second operating data is operating data of the target high-voltage cable in a first historical time period; A determination module is configured to determine whether the target high-voltage cable has a fault based on the first operation data and the second operation data.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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