A method and system for monitoring partial discharge of a ring main unit and a medium

Abstract

The application belongs to the technical field of ring main unit supervision, and particularly relates to a ring main unit partial discharge monitoring method, a system and a medium, wherein the system comprises a multidimensional sensing array unit, a partial discharge identification output unit, a partial discharge classification evaluation unit, a cooperative early warning unit and a remote supervision end; the multidimensional sensing array unit is used for monitoring the ring main unit, the partial discharge identification output unit is used for identifying partial discharge based on monitoring data, the partial discharge classification evaluation unit is used for analyzing and outputting discharge types and severity evaluation values based on discharge identification information, and the remote supervision end is used for displaying partial discharge identification information and partial discharge classification evaluation information and issuing early warnings; the reliability and intelligent level of ring main unit partial discharge monitoring are significantly improved, each area in the ring main unit can be reasonably analyzed, and the operation risk of the ring main unit can be accurately judged, which is convenient for timely making corresponding improvement measures, and is beneficial to reducing the operation risk and operation supervision difficulty of the ring main unit.

Description

Technical Field

[0001] This invention relates to the field of ring main unit monitoring technology, specifically a method, system, and medium for monitoring partial discharge in ring main units. Background Technology

[0002] A ring main unit is a complete set of power distribution equipment that integrates high-voltage switchgear (such as load switches and circuit breakers), fuses, transformers, surge arresters and other components into a metal enclosure. It achieves flexible switching and fault isolation of multiple power sources through a ring power supply network. As the core equipment of the power distribution network, the ring main unit is prone to partial discharge due to internal insulation deterioration and other reasons, which can lead to equipment failure.

[0003] Currently, when monitoring partial discharge in ring main units, it is often difficult to achieve comprehensive monitoring and accurately identify and classify partial discharges. Furthermore, it is impossible to reasonably analyze the potential partial discharge hazards in various areas within the ring main unit and accurately judge the operational risks of the ring main unit. As a result, it is difficult for managers to adjust control measures in a timely and reasonable manner, making the operation and supervision of the ring main unit difficult and not conducive to ensuring the safe and stable operation of the ring main unit.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, and medium for monitoring partial discharge in ring main units. This invention solves the problems of existing technologies, which make it difficult to achieve comprehensive monitoring and accurate identification and classification of partial discharge, and also make it impossible to reasonably analyze the potential partial discharge hazards in various areas of the ring main unit and accurately judge the operational risks of the ring main unit. This is not conducive to ensuring the safe and stable operation of the ring main unit and makes operation supervision difficult.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A partial discharge monitoring system for a ring main unit includes a multi-dimensional sensor array unit, a partial discharge identification and output unit, a partial discharge classification and evaluation unit, a collaborative early warning unit, and a remote monitoring terminal. The multi-dimensional sensor array unit monitors the ring main unit, collects various monitoring data, and sends them to the partial discharge identification and output unit. The partial discharge identification and output unit identifies partial discharge based on the various monitoring data, and after identifying partial discharge, sends the identification information to the partial discharge classification and evaluation unit.

[0008] The partial discharge classification and assessment unit extracts the phase distribution, amplitude distribution, and repetition frequency features of the discharge pulse, and uses a lightweight convolutional neural network to perform real-time inference at the edge, outputting the discharge type and severity assessment value. The partial discharge identification information and partial discharge classification and assessment information are sent to the remote monitoring terminal via the collaborative early warning unit. The remote monitoring terminal displays the partial discharge identification information and partial discharge classification and assessment information and issues an early warning.

[0009] Furthermore, the multi-dimensional sensing array unit integrates a UHF electromagnetic wave sensor, an acoustic-electric composite probe, and an infrared thermal imaging unit, employing an asymmetric spatial layout strategy. Among them, the UHF electromagnetic wave sensor is deployed at the cabinet joints to capture steep pulse electromagnetic waves generated by discharge, with a frequency band covering 300MHz-1.5GHz. The acoustic-electric composite probe incorporates piezoelectric ceramics and an electric field induction coil, achieving spatiotemporal synchronization of acoustic and electrical signals through a common base coupling design. The infrared thermal imaging unit uses a focal plane array detector to cover the key insulating components of the ring main unit with a 16° field of view.

[0010] Furthermore, the method for obtaining the severity assessment values ​​is as follows:

[0011] The system obtains various discharge parameters for partial discharge hazard assessment of the ring main unit, collects the detection data of the corresponding discharge parameters, pre-sets a set of preset hazard weight values ​​for each discharge parameter, multiplies the detection data of the corresponding discharge parameter with the corresponding preset hazard weight value, and obtains the parameter hazard coefficient; obtains the parameter hazard coefficients of each discharge parameter of the corresponding partial discharge, and sums all parameter hazard coefficients to obtain the severity assessment value.

[0012] Furthermore, the partial discharge classification and assessment unit is connected to the partial discharge zoning statistical judgment unit. The partial discharge classification and assessment unit sends partial discharge identification information and partial discharge classification and assessment information to the partial discharge zoning statistical judgment unit. The partial discharge zoning statistical judgment unit divides the ring network cabinet into several monitoring areas, sets a detection period, and statistically analyzes the partial discharge status of each monitoring area on the ring network cabinet during the detection period. Through analysis, the corresponding monitoring area is marked as a high-risk discharge area or a low-risk discharge area, and the marking information of all monitoring areas is sent to the remote monitoring terminal through the collaborative early warning unit.

[0013] Furthermore, the specific analysis process of the partial discharge zoning statistical judgment unit includes:

[0014] The number of partial discharges occurring in the corresponding monitoring area during the detection period is obtained and marked as the partial discharge detection value. The severity assessment value of the corresponding partial discharge is compared with the corresponding preset severity assessment threshold. If the severity assessment value exceeds the corresponding preset severity assessment threshold, the corresponding partial discharge is assigned the hazard judgment symbol YW-1.

[0015] The number of times the hazard judgment symbol YW-1 was assigned to the corresponding monitoring area during the detection period was obtained and marked as a high-risk statistical value. The severity assessment value of the corresponding partial discharge was calculated by comparing it with the corresponding preset severity assessment threshold to obtain the severity ratio value. The average of the severity ratio values ​​of all partial discharges that occurred in the corresponding monitoring area during the detection period was calculated to obtain the hazard characteristic value.

[0016] The partial discharge zone measurement value is obtained by weighted summation of partial discharge detection value, high-risk statistical value and hazard characteristic value. The partial discharge zone measurement value is compared with the preset partial discharge zone measurement threshold. If the partial discharge zone measurement value exceeds the preset partial discharge zone measurement threshold, the corresponding monitoring area is marked as a high-risk discharge zone; if the partial discharge zone measurement value does not exceed the preset partial discharge zone measurement threshold, the corresponding monitoring area is marked as a low-risk discharge zone.

[0017] Furthermore, the partial discharge zoning statistical judgment unit communicates with the ring network cabinet control and risk analysis unit. The partial discharge zoning statistical judgment unit sends the marking information of each monitoring area on the ring network cabinet to the ring network cabinet risk analysis unit. The ring network cabinet risk analysis unit assesses and analyzes the partial discharge risk of the ring network cabinet, and generates a strict partial discharge control signal or a weak partial discharge control signal through analysis. The strict partial discharge control signal or the weak partial discharge control signal is then sent to the remote monitoring terminal through the collaborative early warning unit. When the remote monitoring terminal receives the strict partial discharge control signal, it issues a corresponding early warning.

[0018] Furthermore, the specific analysis process of the ring main unit control risk analysis unit is as follows:

[0019] The marking information of each monitoring area on the ring network cabinet is obtained. If there is a high-risk discharge area, a strict partial discharge control signal is generated. If there is no high-risk discharge area, the average value of the partial discharge area measurements of all monitoring areas is calculated to obtain the partial discharge comprehensive value. The partial discharge comprehensive value is compared with the preset partial discharge comprehensive threshold. If the partial discharge comprehensive value exceeds the preset partial discharge comprehensive threshold, a strict partial discharge control signal is generated.

[0020] If the partial discharge condition value does not exceed the preset partial discharge condition threshold, several analysis periods are set within the detection period. If partial discharge exists in the ring main unit within the corresponding analysis period, the corresponding analysis period is marked as a hazardous period; otherwise, the corresponding analysis period is marked as a safe period. The number of hazardous periods within the detection period is obtained and marked as hazardous time-frequency values. The number of hazardous periods between two adjacent safe periods is marked as hazardous duration values. The hazardous duration values ​​are compared with the preset hazardous duration threshold. If the hazardous duration value exceeds the preset hazardous duration threshold, the corresponding hazardous duration value is marked as a hazardous duration value.

[0021] The number of hazard persistence values ​​during the detection period is obtained and marked as hazard persistence risk values, and the hazard persistence value with the largest value during the detection period is marked as hazard persistence amplitude value. The ring main unit control risk coefficient is calculated by weighted summation of hazard frequency value, hazard persistence risk value and hazard persistence amplitude value. The ring main unit control risk coefficient is compared with the preset ring main unit control risk coefficient threshold. If the ring main unit control risk coefficient exceeds the preset ring main unit control risk coefficient threshold, a strict partial discharge control signal is generated; if the ring main unit control risk coefficient does not exceed the preset ring main unit control risk coefficient threshold, a weak partial discharge control signal is generated.

[0022] Furthermore, the ring main unit's risk analysis and control unit communicates with the ring main unit's maintenance execution tracking unit. The risk analysis and control unit sends either a strict or weak partial discharge control signal to the maintenance execution tracking unit. During the next monitoring period, the maintenance execution tracking unit tracks, evaluates, and analyzes the maintenance execution status of the ring main unit by the maintenance personnel. This analysis generates a qualified or abnormal maintenance tracking signal, which is then sent to the remote monitoring terminal via a collaborative early warning unit. Upon receiving the abnormal maintenance tracking signal, the remote monitoring terminal issues a corresponding early warning. The specific analysis process of the ring main unit's maintenance execution tracking unit is as follows:

[0023] The system obtains all start and end times of maintenance performed on the ring network cabinet by maintenance personnel in the next testing period. It calculates the time difference between the start time of the corresponding maintenance process and the end time of the adjacent previous maintenance process to obtain the dimension difference detection value. It calculates the average of all dimension difference detection values ​​to obtain the dimension difference feature value. It marks the number of times the dimension difference detection value exceeds the preset dimension difference detection threshold in the next testing period as the dimension difference abnormal value, and marks the dimension difference detection value with the largest value in the next testing period as the dimension difference amplitude value.

[0024] The maintenance tracking coefficient is obtained by weighted summation of the dimension eigenvalues, dimension constants, and dimension amplitude values. If a partial discharge strict control signal is generated during the detection period, a preset maintenance tracking coefficient threshold ZP1 is assigned. If a partial discharge weak control signal is generated during the detection period, a preset maintenance tracking coefficient threshold ZP2 is assigned, and ZP2 > ZP1 > 0.

[0025] The maintenance tracking coefficient is compared with the corresponding preset maintenance tracking coefficient threshold. If the maintenance tracking coefficient exceeds the corresponding preset maintenance tracking coefficient threshold, a maintenance tracking abnormal signal is generated; if the maintenance tracking coefficient does not exceed the corresponding preset maintenance tracking coefficient threshold, a maintenance tracking qualified signal is generated.

[0026] Furthermore, the present invention proposes a method for monitoring partial discharge in a ring main unit, comprising the following steps:

[0027] Step 1: Ring network unit monitoring and data acquisition;

[0028] Step 2: Identify partial discharges based on various monitoring data;

[0029] Step 3: Output the discharge type and severity assessment value based on the partial discharge identification information;

[0030] Step 4: The collaborative early warning unit sends the partial discharge identification information and partial discharge classification assessment information to the remote monitoring terminal;

[0031] Step 5: The remote monitoring terminal displays the partial discharge identification information and partial discharge classification assessment information and issues an early warning.

[0032] Furthermore, the present invention proposes a computer storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the aforementioned method for monitoring partial discharge of a ring main unit.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] 1. In this invention, a multi-dimensional sensor array unit monitors the ring main unit, a partial discharge identification output unit identifies partial discharge based on various monitoring data, a partial discharge classification and evaluation unit analyzes the discharge identification information and outputs the discharge type and severity evaluation value, and a remote monitoring terminal displays the partial discharge identification information and partial discharge classification and evaluation information and issues an early warning. This significantly improves the reliability and intelligence level of partial discharge monitoring of the ring main unit, which is conducive to improving the operational safety of the ring main unit and reducing the difficulty of its operation and supervision.

[0035] 2. In this invention, the partial discharge zoning statistical judgment unit analyzes and determines the high-risk and low-risk discharge zones within the ring main unit. The ring main unit risk analysis unit assesses and analyzes the partial discharge risk of the ring main unit. When a strict partial discharge control signal is generated, the monitoring and control of partial discharge of the ring main unit is strengthened, which helps to reduce the operational risk and operational supervision difficulty of the ring main unit. Furthermore, by tracking and evaluating the maintenance performance of the ring main unit by the maintenance personnel, the training and maintenance supervision of the maintenance personnel are strengthened when an abnormal maintenance tracking signal is generated, further ensuring the safe and stable operation of the ring main unit. Attached Figure Description

[0036] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0037] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0038] Figure 2 This is a system block diagram of Embodiments 2 and 3 of the present invention;

[0039] Figure 3 This is a flowchart of the method in Embodiment 4 of the present invention. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] Example 1: As Figure 1 As shown, the present invention proposes a partial discharge monitoring system for ring main units, comprising a multi-dimensional sensor array unit, a partial discharge identification output unit, a partial discharge classification and evaluation unit, a collaborative early warning unit, and a remote monitoring terminal; the multi-dimensional sensor array unit monitors the ring main unit, collects various monitoring data, and sends them to the partial discharge identification output unit; it should be noted that the multi-dimensional sensor array unit integrates a UHF electromagnetic wave sensor, an acoustic-electric composite probe, and an infrared thermal imaging unit, adopts an asymmetric spatial layout strategy, and solves the problem of missed detection caused by single parameter threshold triggering through multi-physics field fusion;

[0042] Among them, the ultra-high frequency electromagnetic wave sensor is deployed at the cabinet joint to capture the steep pulse electromagnetic waves generated by the discharge (reflecting the intensity of the discharge), and its frequency band covers 300MHz-1.5GHz; the acoustic-electric composite probe has built-in piezoelectric ceramic and electric field induction coil, and achieves spatiotemporal synchronization of acoustic and electric signals through a common base coupling design (acoustic-electric composite data provides spatial positioning basis); the infrared thermal imaging unit adopts a focal plane array detector (capturing abnormal temperature rise) and covers the key insulation components of the ring main unit with a 16° field of view.

[0043] The partial discharge identification output unit identifies partial discharge based on various monitoring data. After identifying partial discharge, it sends the identification information to the partial discharge classification and evaluation unit. The partial discharge classification and evaluation unit extracts the phase distribution, amplitude distribution, and repetition frequency characteristics of the discharge pulse, and uses a lightweight convolutional neural network to complete real-time inference at the edge, outputting the discharge type (such as corona, surface, suspension, etc.) and severity assessment value.

[0044] Furthermore, the partial discharge identification information and partial discharge classification assessment information are sent to the remote monitoring terminal via the collaborative early warning unit. The remote monitoring terminal displays the partial discharge identification information and partial discharge classification assessment information and issues an early warning to remind back-end personnel to pay attention and take appropriate measures as needed to reduce the harm caused by partial discharge. The method for analyzing and obtaining the severity assessment value is as follows:

[0045] The various discharge parameters (such as pulse amplitude and pulse width) for partial discharge hazard assessment of the ring main unit are obtained, and the detection data of the corresponding discharge parameters are collected. Each discharge parameter is pre-set to correspond to a set of preset hazard weight values. The preset hazard weight values ​​are all positive numbers. Furthermore, the greater the influence of the corresponding discharge parameter on the final partial discharge hazard assessment result, the greater the value of the preset hazard weight value that matches it.

[0046] The detection data of the corresponding discharge parameters are multiplied by the corresponding preset hazard weight value to obtain the parameter hazard coefficient; the parameter hazard coefficients of each discharge parameter of the corresponding partial discharge are obtained, and the severity assessment value is obtained by summing all the parameter hazard coefficients; it should be noted that the larger the severity assessment value, the more serious the hazard caused by the corresponding partial discharge.

[0047] The technical solution of this invention significantly improves the reliability and intelligence level of partial discharge monitoring of ring main units through modular collaborative innovation, provides key technical support for the maintenance and management of ring main units, and helps to improve the operational safety of ring main units and reduce the difficulty of their operation supervision.

[0048] Example 2: Figure 2 As shown, the difference between this embodiment and Embodiment 1 is that the partial discharge classification and evaluation unit is communicatively connected to the partial discharge partition statistical judgment unit. The partial discharge classification and evaluation unit sends the partial discharge identification information and the partial discharge classification and evaluation information to the partial discharge partition statistical judgment unit. The partial discharge partition statistical judgment unit divides the ring main unit into several monitoring areas and sets a detection period, preferably fifteen days. The partial discharge status of each monitoring area on the ring main unit is statistically analyzed during the detection period.

[0049] By analyzing the data, the corresponding monitoring areas are marked as high-risk or low-risk discharge zones. The marking information for all monitoring areas is then sent to the remote monitoring terminal via the collaborative early warning unit. This allows back-end personnel to have a detailed understanding of the partial discharge status of each area on the ring main unit, facilitating the implementation of appropriate handling measures for different areas and ensuring the safe and stable operation of the ring main unit. The specific analysis process of the partial discharge zoning statistical judgment unit is as follows:

[0050] The number of partial discharges occurring in the corresponding monitoring area during the detection period is obtained and marked as the partial discharge detection value. The severity assessment value of the corresponding partial discharge is compared with the corresponding preset severity assessment threshold. If the severity assessment value exceeds the corresponding preset severity assessment threshold, it indicates that the safety risk brought by the corresponding partial discharge is relatively large, and the corresponding partial discharge is assigned the hazard judgment symbol YW-1.

[0051] The number of times the hazard judgment symbol YW-1 was assigned to the corresponding monitoring area during the detection period was obtained and marked as a high-risk statistical value. The severity assessment value of the corresponding partial discharge was calculated by comparing it with the corresponding preset severity assessment threshold to obtain the severity ratio value. The average of the severity ratio values ​​of all partial discharges that occurred in the corresponding monitoring area during the detection period was calculated to obtain the hazard characteristic value.

[0052] The partial discharge area measurement value is obtained by weighted summation of partial discharge detection values, high-risk statistical values, and hazard characteristic values. Specifically, each of the partial discharge detection value, high-risk statistical value, and hazard characteristic value is assigned a corresponding preset weight coefficient. The partial discharge detection value, high-risk statistical value, and hazard characteristic value are then multiplied by their respective preset weight coefficients, and the sum of the three products is marked as the partial discharge area measurement value. It should be noted that the larger the value of the partial discharge area measurement value, the higher the overall partial discharge safety hazard in the corresponding monitoring area during the detection period.

[0053] The partial discharge area measurement value is compared with the preset partial discharge area measurement threshold. If the partial discharge area measurement value exceeds the preset partial discharge area measurement threshold, it indicates that the overall partial discharge safety hazard in the corresponding monitoring area is relatively high during the detection period, and the corresponding monitoring area is marked as a high-risk discharge area. If the partial discharge area measurement value does not exceed the preset partial discharge area measurement threshold, it indicates that the overall partial discharge safety hazard in the corresponding monitoring area is relatively low during the detection period, and the corresponding monitoring area is marked as a low-risk discharge area.

[0054] Furthermore, the partial discharge zoning statistical judgment unit is connected to the ring network cabinet control risk analysis unit. The partial discharge zoning statistical judgment unit sends the marking information of each monitoring area on the ring network cabinet to the ring network cabinet risk analysis unit. The ring network cabinet risk analysis unit assesses and analyzes the partial discharge risk of the ring network cabinet and generates a strict partial discharge control signal or a weak partial discharge control signal through analysis.

[0055] Furthermore, the partial discharge strict control signal or partial discharge weak control signal is sent to the remote monitoring terminal via the collaborative early warning unit. When the remote monitoring terminal receives the partial discharge strict control signal, it issues a corresponding early warning to remind the back-end personnel to strengthen the monitoring and control of partial discharge of the ring main unit in a timely manner, which helps to reduce the operational risk of the ring main unit. The specific analysis process of the ring main unit control risk analysis unit is as follows:

[0056] The marking information of each monitoring area on the ring main unit is obtained. If there is a high-risk discharge area, it indicates that the partial discharge risk of the ring main unit is high during the detection period, and a strict partial discharge control signal is generated. If there is no high-risk discharge area, the average value of the partial discharge area measurements of all monitoring areas is calculated to obtain the partial discharge comprehensive value. The partial discharge comprehensive value is compared with the preset partial discharge comprehensive threshold. If the partial discharge comprehensive value exceeds the preset partial discharge comprehensive threshold, it indicates that the partial discharge risk of the ring main unit is high during the detection period, and a strict partial discharge control signal is generated.

[0057] If the partial discharge condition value does not exceed the preset partial discharge condition threshold, several analysis periods are set within the detection period. If partial discharge exists in the ring main unit within the corresponding analysis period, the corresponding analysis period is marked as a hazardous period; otherwise, the corresponding analysis period is marked as a safe period. The number of hazardous periods within the detection period is obtained and marked as hazardous time-frequency values. The number of hazardous periods between two adjacent safe periods is marked as hazardous duration values. The hazardous duration values ​​are compared with the preset hazardous duration threshold. If the hazardous duration value exceeds the preset hazardous duration threshold, the corresponding hazardous duration value is marked as a hazardous duration value.

[0058] The number of hazard persistence values ​​during the detection period is obtained and marked as hazard persistence risk values, and the hazard persistence value with the largest value during the detection period is marked as hazard persistence amplitude value. The control risk coefficient of the ring main unit is calculated by weighted summation of the hazard frequency value, hazard persistence risk value, and hazard persistence amplitude value. That is, the hazard frequency value, hazard persistence risk value, and hazard persistence amplitude value are each assigned a corresponding preset weight coefficient, and the hazard frequency value, hazard persistence risk value, and hazard persistence amplitude value are multiplied by the corresponding preset weight coefficient, and the sum of the three sets of products is marked as the control risk coefficient of the ring main unit. It should be noted that the larger the value of the control risk coefficient of the ring main unit, the higher the overall partial release risk of the ring main unit during the detection period.

[0059] The control risk coefficient of the ring main unit is compared with the preset control risk coefficient threshold. If the control risk coefficient exceeds the preset control risk coefficient threshold, it indicates that the partial discharge risk of the ring main unit is relatively high during the testing period, and subsequent partial discharge monitoring and control need to be strengthened, thus generating a strict partial discharge control signal. If the control risk coefficient does not exceed the preset control risk coefficient threshold, it indicates that the partial discharge risk of the ring main unit is relatively low during the testing period, thus generating a weak partial discharge control signal.

[0060] Example 3: Figure 2 As shown, the difference between this embodiment and Embodiments 1 and 2 is that the ring main unit control risk analysis unit is connected to the ring main unit maintenance execution tracking unit. The ring main unit control risk analysis unit sends the partial discharge strict control signal or the partial discharge weak control signal to the ring main unit maintenance execution tracking unit. In the next detection period, the ring main unit maintenance execution tracking unit tracks, evaluates and analyzes the maintenance execution status of the ring main unit by the maintenance personnel, and generates a maintenance tracking qualified signal or a maintenance tracking abnormal signal through analysis.

[0061] Furthermore, the maintenance tracking pass signal or maintenance tracking failure signal is sent to the remote monitoring terminal via the collaborative early warning unit. When the remote monitoring terminal receives the maintenance tracking failure signal, it issues a corresponding early warning to remind back-end personnel to strengthen the training and maintenance supervision of operation and maintenance personnel, ensure the timeliness of subsequent maintenance, and further ensure the safe and stable operation of the ring main unit. The specific analysis process of the ring main unit maintenance execution tracking unit is as follows:

[0062] After the next testing period ends, obtain all start and end times of maintenance performed by operation and maintenance personnel on the ring network cabinet during the next testing period. Calculate the time difference between the start time of the corresponding maintenance process and the end time of the adjacent previous maintenance process to obtain the dimension difference detection value. Calculate the average of all dimension difference detection values ​​to obtain the dimension difference characteristic value. Mark the number of times the dimension difference detection value exceeds the preset dimension difference detection threshold during the next testing period as the dimension difference abnormal value. Mark the dimension difference detection value with the largest value during the next testing period as the dimension difference amplitude value.

[0063] The maintenance tracking coefficient is obtained by weighted summation of the dimension eigenvalues, dimension invariants, and dimension amplitude values. Specifically, each dimension eigenvalue, dimension invariant, and dimension amplitude value is assigned a corresponding preset weight coefficient, and then multiplied by its respective preset weight coefficient. The sum of these three products is then labeled as the maintenance tracking coefficient. It should be noted that a larger maintenance tracking coefficient indicates a worse maintenance performance for the ring main unit.

[0064] If a partial discharge strict control signal is generated during the detection period, a preset maintenance tracking coefficient threshold ZP1 is assigned; if a partial discharge weak control signal is generated during the detection period, a preset maintenance tracking coefficient threshold ZP2 is assigned, and ZP2 > ZP1 > 0.

[0065] The maintenance tracking coefficient is compared with the corresponding preset maintenance tracking coefficient threshold. If the maintenance tracking coefficient exceeds the corresponding preset maintenance tracking coefficient threshold, it indicates that the maintenance performance of the ring main unit is poor, and a maintenance tracking abnormal signal is generated. If the maintenance tracking coefficient does not exceed the corresponding preset maintenance tracking coefficient threshold, it indicates that the maintenance performance of the ring main unit is good, and a maintenance tracking qualified signal is generated.

[0066] Example 4: Figure 3 As shown, the difference between this embodiment and Embodiments 1, 2, and 3 is that the partial discharge monitoring method for ring main units proposed in this invention includes the following steps:

[0067] Step 1: Ring network unit monitoring and data acquisition;

[0068] Step 2: Identify partial discharges based on various monitoring data;

[0069] Step 3: Output the discharge type and severity assessment value based on the partial discharge identification information;

[0070] Step 4: The collaborative early warning unit sends the partial discharge identification information and partial discharge classification assessment information to the remote monitoring terminal;

[0071] Step 5: The remote monitoring terminal displays the partial discharge identification information and partial discharge classification assessment information and issues an early warning.

[0072] Furthermore, this invention also proposes a computer storage medium storing a computer program, which, when executed by a processor, implements the aforementioned method for monitoring partial discharge in a ring main unit. Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented using hardware related to the computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0073] The working principle of this invention is as follows: In use, the multi-dimensional sensor array unit monitors the ring main unit, the partial discharge identification output unit identifies partial discharge based on various monitoring data, the partial discharge classification and evaluation unit analyzes the discharge identification information and outputs the discharge type and severity evaluation value, and the remote monitoring terminal displays the partial discharge identification information and partial discharge classification and evaluation information and issues early warnings, which significantly improves the reliability and intelligence level of partial discharge monitoring of the ring main unit. In addition, the partial discharge zoning statistical judgment unit statistically analyzes the partial discharge status of each monitoring area in the ring main unit to determine the high-risk and low-risk discharge areas, and the ring main unit risk analysis unit evaluates and analyzes the partial discharge risk of the ring main unit. When a strict partial discharge control signal is generated, the monitoring and control of partial discharge of the ring main unit is strengthened, which helps to reduce the operational risk and operational supervision difficulty of the ring main unit.

[0074] The threshold, preset value, preset range, etc. in the technical solution of this invention are set for result comparison and analysis in order to determine whether it is good or bad. The value of the threshold is set and stored based on a combination of large model analysis of sample data and human experience. It can also be appropriately adjusted by seasonal or common sense influence conditions.

[0075] Furthermore, the settings for preset weight coefficients, influence factors, etc., are based on the magnitude of each parameter's influence on the results, and the specific values ​​are allocated to ultimately reflect the impact on the results. The settings are also set by combining large-scale model analysis of sample data with human experience, and can be appropriately adjusted based on seasonal or rational influence conditions.

[0076] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, enabling those skilled in the art to better understand and utilize it. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A partial discharge monitoring system for a ring main unit, characterized in that, It includes a multi-dimensional sensor array unit, a partial discharge identification and output unit, a partial discharge classification and evaluation unit, a collaborative early warning unit, and a remote monitoring terminal; the multi-dimensional sensor array unit monitors the ring network cabinet, collects various monitoring data, and sends them to the partial discharge identification and output unit; the partial discharge identification and output unit performs partial discharge identification based on various monitoring data, and after identifying partial discharge, sends the identification information to the partial discharge classification and evaluation unit; The partial discharge classification and assessment unit extracts the phase distribution, amplitude distribution and repetition frequency features of the discharge pulse, and uses a lightweight convolutional neural network to complete real-time inference at the edge, outputting the discharge type and severity assessment value. The partial discharge identification information and partial discharge classification assessment information are sent to the remote monitoring terminal through the collaborative early warning unit. The remote monitoring terminal displays the partial discharge identification information and partial discharge classification assessment information and issues an early warning. The method for obtaining the severity assessment values ​​is as follows: The system obtains various discharge parameters for partial discharge hazard assessment of the ring main unit, collects the detection data of the corresponding discharge parameters, pre-sets a set of preset hazard weight values ​​for each discharge parameter, multiplies the detection data of the corresponding discharge parameter with the corresponding preset hazard weight value, and obtains the parameter hazard coefficient; obtains the parameter hazard coefficients of each discharge parameter for the corresponding partial discharge, and sums all parameter hazard coefficients to obtain the severity assessment value; The partial discharge classification and assessment unit is connected to the partial discharge zoning statistical judgment unit. The partial discharge classification and assessment unit sends partial discharge identification information and partial discharge classification and assessment information to the partial discharge zoning statistical judgment unit. The partial discharge zoning statistical judgment unit divides the ring network cabinet into several monitoring areas, sets the detection period, and statistically analyzes the partial discharge status of each monitoring area on the ring network cabinet during the detection period. Through analysis, the corresponding monitoring area is marked as a high-risk discharge area or a low-risk discharge area, and the marking information of all monitoring areas is sent to the remote monitoring terminal through the collaborative early warning unit. The specific analysis process of the partial discharge zoning statistical judgment unit includes: The number of partial discharges occurring in the corresponding monitoring area during the detection period is obtained and marked as the partial discharge detection value. The severity assessment value of the corresponding partial discharge is compared with the corresponding preset severity assessment threshold. If the severity assessment value exceeds the corresponding preset severity assessment threshold, the corresponding partial discharge is assigned the hazard judgment symbol YW-1. The number of times the hazard judgment symbol YW-1 was assigned to the corresponding monitoring area during the detection period was obtained and marked as a high-risk statistical value. The severity assessment value of the corresponding partial discharge was calculated by comparing it with the corresponding preset severity assessment threshold to obtain the severity ratio value. The average of the severity ratio values ​​of all partial discharges that occurred in the corresponding monitoring area during the detection period was calculated to obtain the hazard characteristic value. The partial discharge zone measurement value is obtained by weighted summation of partial discharge detection value, high-risk statistical value and hazard characteristic value. The partial discharge zone measurement value is then compared with the preset partial discharge zone measurement threshold. If the partial discharge zone measurement value exceeds the preset partial discharge zone measurement threshold, the corresponding monitoring area is marked as a high-risk discharge zone; if the partial discharge zone measurement value does not exceed the preset partial discharge zone measurement threshold, the corresponding monitoring area is marked as a low-risk discharge zone. The partial discharge zoning statistical judgment unit communicates with the ring network cabinet control and risk analysis unit. The partial discharge zoning statistical judgment unit sends the marking information of each monitoring area on the ring network cabinet to the ring network cabinet control and risk analysis unit. The ring network cabinet control and risk analysis unit assesses and analyzes the partial discharge risk of the ring network cabinet, and generates a strict partial discharge control signal or a weak partial discharge control signal through analysis. The strict partial discharge control signal or the weak partial discharge control signal is then sent to the remote monitoring terminal through the collaborative early warning unit. When the remote monitoring terminal receives the strict partial discharge control signal, it issues a corresponding early warning. The specific analysis process for the ring main unit risk analysis unit is as follows: The marking information of each monitoring area on the ring network cabinet is obtained. If there is a high-risk discharge area, a strict partial discharge control signal is generated. If there is no high-risk discharge area, the average value of the partial discharge area measurements of all monitoring areas is calculated to obtain the partial discharge comprehensive value. The partial discharge comprehensive value is compared with the preset partial discharge comprehensive threshold. If the partial discharge comprehensive value exceeds the preset partial discharge comprehensive threshold, a strict partial discharge control signal is generated. If the partial discharge condition value does not exceed the preset partial discharge condition threshold, several analysis periods are set within the detection period. If partial discharge exists in the ring main unit within the corresponding analysis period, the corresponding analysis period is marked as a hazardous period; otherwise, the corresponding analysis period is marked as a safe period. The number of hazardous periods within the detection period is obtained and marked as hazardous time-frequency values. The number of hazardous periods between two adjacent safe periods is marked as hazardous duration values. The hazardous duration values ​​are compared with the preset hazardous duration threshold. If the hazardous duration value exceeds the preset hazardous duration threshold, the corresponding hazardous duration value is marked as a hazardous duration value. The number of hazard persistence values ​​during the detection period is obtained and marked as hazard persistence risk values, and the hazard persistence value with the largest value during the detection period is marked as hazard persistence amplitude value. The ring main unit control risk coefficient is calculated by weighted summation of hazard frequency value, hazard persistence risk value and hazard persistence amplitude value. The ring main unit control risk coefficient is compared with the preset ring main unit control risk coefficient threshold. If the ring main unit control risk coefficient exceeds the preset ring main unit control risk coefficient threshold, a strict partial discharge control signal is generated; if the ring main unit control risk coefficient does not exceed the preset ring main unit control risk coefficient threshold, a weak partial discharge control signal is generated. The ring main unit (RNB) control risk analysis unit communicates with the RNB maintenance execution tracking unit. The RNB control risk analysis unit sends either a strict or weak partial discharge control signal to the RNB maintenance execution tracking unit. During the next monitoring period, the RNB maintenance execution tracking unit tracks and evaluates the maintenance performance of the RNB by the maintenance personnel. This analysis generates either a qualified or abnormal maintenance tracking signal, which is then sent to the remote monitoring terminal via a collaborative early warning unit. Upon receiving an abnormal maintenance tracking signal, the remote monitoring terminal issues a corresponding early warning. The specific analysis process of the RNB maintenance execution tracking unit is as follows: The system obtains all start and end times of maintenance performed on the ring network cabinet by maintenance personnel in the next testing period. It calculates the time difference between the start time of the corresponding maintenance process and the end time of the adjacent previous maintenance process to obtain the dimension difference detection value. It calculates the average of all dimension difference detection values ​​to obtain the dimension difference feature value. It marks the number of times the dimension difference detection value exceeds the preset dimension difference detection threshold in the next testing period as the dimension difference abnormal value, and marks the dimension difference detection value with the largest value in the next testing period as the dimension difference amplitude value. The maintenance tracking coefficient is obtained by weighted summation of the dimension eigenvalues, dimension constants, and dimension amplitude values. If a partial discharge strict control signal is generated during the detection period, a preset maintenance tracking coefficient threshold ZP1 is assigned. If a partial discharge weak control signal is generated during the detection period, a preset maintenance tracking coefficient threshold ZP2 is assigned, and ZP2 > ZP1 > 0. The maintenance tracking coefficient is compared with the corresponding preset maintenance tracking coefficient threshold. If the maintenance tracking coefficient exceeds the corresponding preset maintenance tracking coefficient threshold, a maintenance tracking abnormal signal is generated; if the maintenance tracking coefficient does not exceed the corresponding preset maintenance tracking coefficient threshold, a maintenance tracking qualified signal is generated.

2. The partial discharge monitoring system for a ring main unit according to claim 1, characterized in that, The multi-dimensional sensing array unit integrates an ultra-high frequency electromagnetic wave sensor, an acoustic-electric composite probe, and an infrared thermal imaging unit, employing an asymmetric spatial layout strategy. The ultra-high frequency electromagnetic wave sensor is deployed at the cabinet seam to capture steep pulse electromagnetic waves generated by discharge, covering a frequency band of 300MHz-1.5GHz. The acoustic-electric composite probe incorporates piezoelectric ceramics and an electric field induction coil. The infrared thermal imaging unit uses a focal plane array detector.

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