Flexible adjusting unit loop inspection method and device and electronic equipment

Abstract

The invention provides a flexible adjusting unit loop inspection method and device and electronic equipment, and belongs to the technical field of power systems. The flexible adjusting unit loop inspection method comprises the following steps: collecting a current signal in a secondary loop of a current transformer in real time; edge calculation analysis is carried out in the unit, and state information of the secondary circuit is determined based on the current signal; when the secondary circuit is in the abnormal state, an abnormal event reporting mechanism is started, and the abnormal event reporting time does not exceed 5 minutes. According to the flexible adjusting unit loop inspection method provided by the invention, the current signal is analyzed through real-time acquisition and edge calculation, the state of the secondary loop in the power system is quickly identified, and the abnormity is reported in time, so that the problems of delay, slow response and strong dependence of traditional monitoring are solved, and the timeliness and stability of fault processing of the power system are improved.

Description

Technical Field

[0001] The present application belongs to the technical field of power systems, and specifically relates to a flexible regulation unit loop inspection method, device and electronic equipment. Background Art

[0002] Smart grid, also known as "grid 2.0", is a technology upgrade of the power grid based on an integrated high-speed two-way communication network, integrating advanced sensing and measurement, equipment, control, and decision support systems to achieve the goals of reliable, safe, economical, efficient, environmentally friendly, and user-friendly power grids. Core features include self-healing, incentive protection, anti-attack, power quality provision, regulation potential analysis, multi-point regulation, aggregated peak regulation, and edge communication control. The flexible regulation unit is a key step for smart grids to move towards higher flexibility and efficiency. It enhances the system's adaptive ability through real-time and precise regulation, optimizes resource allocation, promotes source-load interaction, and improves energy efficiency and economy.

[0003] In the power system, flexible regulation unit circuit inspection is an advanced maintenance and monitoring technology that uses advanced sensing, edge computing and communication technologies to perform continuous and real-time status monitoring of the secondary circuit of the current transformer.

[0004] The existing inspection methods for flexible regulation unit loops rely on regular manual inspections or fixed periodic data collection, which cannot achieve real-time monitoring, resulting in delayed fault detection and lack of efficient on-site data analysis capabilities. A large amount of data needs to be transmitted back to the center for processing, which increases processing time and fault response time. Therefore, there are problems such as loop fault detection delay and low abnormality processing efficiency, which affect the stability of the power system. Summary of the invention

[0005] In order to solve at least one technical problem existing in the background technology, the present application provides a flexible regulation unit circuit inspection method, which quickly identifies the secondary circuit status in the power system and reports abnormalities in time through real-time acquisition and edge computing analysis of current signals, solves the problems of traditional monitoring delay, slow response and strong dependence, and improves the timeliness and stability of power system fault handling.

[0006] The technical solution adopted in this application is: The first aspect of the present application provides a flexible regulation unit loop inspection method, including: Real-time acquisition of current signals in the secondary circuit of the current transformer; Performing edge computing analysis within the unit to determine status information of the secondary circuit based on the current signal; When the secondary circuit is in an abnormal state, an abnormal event reporting mechanism is started, wherein the abnormal event reporting time does not exceed 5 minutes.

[0007] According to the flexible regulation unit loop inspection method provided by the embodiment of the first aspect of the present application, the current signal in the secondary loop of the current transformer is continuously collected through a highly sensitive sensor, which is the basis of the entire process and ensures the freshness and accuracy of the data for subsequent analysis. Then, these raw data are processed instantly inside the flexible regulation unit, and edge computing technology plays an important role here. It can complete the data analysis task close to the data source without sending all data to the remote server, greatly reducing the processing time and network burden. Based on the characteristics of the current signal, the system can quickly determine whether the loop is in normal working condition. Once the analysis results show that there is an abnormality in the secondary loop (such as an open circuit, a short circuit or other unexpected conditions), the system will immediately activate the abnormal event reporting mechanism. This mechanism ensures that the fault information can be delivered within 5 minutes, which wins valuable time for rapid response measures. In summary, the flexible regulation unit loop inspection method provided by the present application, through real-time acquisition and edge computing analysis of current signals, quickly identifies the secondary loop status in the power system and reports the abnormality in time, solves the problems of traditional monitoring delay, slow response and strong dependence, and improves the timeliness and stability of power system fault handling.

[0008] According to an embodiment of the present application, the real-time acquisition of the current signal in the secondary circuit of the current transformer is specifically: Collecting the current signal in real time at a high frequency sampling rate; The current signal is preprocessed.

[0009] According to one embodiment of the present application, the edge computing analysis is performed inside the unit to determine the state information of the secondary circuit based on the current signal, specifically: Defining the effective value characteristic quantity, waveform characteristic quantity, harmonic content characteristic quantity and phase relationship characteristic quantity of the current signal; Establish a feature library for normal and fault conditions; The effective value feature quantity, the waveform feature quantity, the harmonic content feature quantity and the phase relationship feature quantity are matched with a predefined fault feature library to perform state identification on the secondary circuit.

[0010] According to one embodiment of the present application, the status information of the secondary circuit includes normal connection status, open circuit status, secondary terminal shunt status, primary shunt status, circuit series rectifier device status and magnetic field abnormality status.

[0011] According to one embodiment of the present application, the edge computing analysis is performed within the unit, specifically: Obtain historical fault feature data, identify and extract fault feature vectors; The fault feature vector is configured in the fault feature library.

[0012] According to an embodiment of the present application, when the secondary circuit is in an abnormal state, the abnormal event reporting mechanism is started, specifically: Analyze the abnormal state, classify the abnormal event into emergency level, important level, minor level and maintenance level according to the abnormal event level definition standard, and generate fault state coding information; The fault status coding information is uploaded to the main station through edge-to-edge communication.

[0013] According to one embodiment of the present application, the flexible regulation unit loop inspection method further includes: Control the master station to parse the fault status coding information, determine the fault type, location and level, and generate and feedback a maintenance instruction; Based on the maintenance instruction, the power supply load at the location adjacent to the fault point is adjusted, the backup line is activated, and the power flow is redistributed.

[0014] According to one embodiment of the present application, the flexible regulation unit loop inspection method further includes: Feedback of maintenance results to the master station through edge-to-edge communication; Controlling the master station to perform status verification on the secondary circuit based on the maintenance result; After the verification is passed, the normal operation of the secondary circuit is restored.

[0015] A second aspect of the present application provides a flexible regulation unit loop inspection device, including: A signal acquisition module, suitable for real-time acquisition of current signals in the secondary circuit of the current transformer; A determination module, adapted to perform edge computing analysis within the unit, and determine state information of the secondary circuit based on the current signal; The event reporting module is adapted to start an abnormal event reporting mechanism when the secondary circuit is in an abnormal state, wherein the abnormal event reporting time does not exceed 5 minutes.

[0016] An embodiment of the third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the flexible regulation unit loop inspection method described in any embodiment of the first aspect as described above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1A schematic diagram of a flow chart of a flexible regulation unit loop inspection method provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a flexible regulating unit loop inspection device provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0018] in, 110, signal acquisition module; 120, determination module; 130, event reporting module; 810, processor; 820, communication interface; 830, memory; 840, communication bus. DETAILED DESCRIPTION

[0019] In order to more clearly illustrate the overall concept of the present application, a detailed description is given below in an illustrative manner in conjunction with the accompanying drawings.

[0020] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present application is not limited by the specific embodiments disclosed below. It should be noted that the embodiments of the present application and the features in each embodiment may be combined with each other without conflict.

[0021] In addition, in the description of the present application, it should be understood that the orientations or positional relationships indicated by the terms "top", "bottom", "inside", "outside", "axial", "radial", "circumferential", etc. are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0022] In this application, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or a communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0023] In the present application, unless otherwise clearly specified and limited, a first feature "above" or "below" a second feature may be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more embodiments or examples.

[0024] like Figure 1 As shown, the first embodiment of the present application provides a flexible regulation unit loop inspection method, comprising: Step 100: collect the current signal in the secondary circuit of the current transformer in real time.

[0025] Step 200: Perform edge computing analysis inside the unit to determine the status information of the secondary circuit based on the current signal.

[0026] Step 300: When the secondary circuit is in an abnormal state, the abnormal event reporting mechanism is started, wherein the abnormal event reporting time does not exceed 5 minutes.

[0027] In step 100, the current transformer is a common electrical device in the power system, which is used to convert high voltage or large current into a smaller current in proportion to facilitate the use of measurement and protection equipment. The secondary circuit refers to the low-voltage side circuit output by the current transformer, which is the main way for power monitoring, protection and automation systems to obtain information. Monitoring the current signal of this circuit is essentially directly tracking the actual operating status of the power grid.

[0028] Real-time acquisition of current signals in the secondary circuit of the current transformer means continuous monitoring of current changes in the secondary circuit of the current transformer, and can instantly capture any small current fluctuations or anomalies. Compared with regular or intermittent monitoring, real-time acquisition ensures that there is no delay in understanding the state of the power grid, which is crucial for rapid response and fault prevention.

[0029] In step 200, edge computing is a distributed computing architecture that pushes data processing and analysis capabilities to the source of data generation, that is, inside the flexible regulation unit close to the current transformer. Compared with the traditional practice of transmitting all data to the cloud or central data center for processing, edge computing greatly reduces the time delay of data transmission and improves processing efficiency and response speed.

[0030] Based on the analysis of current signals, advanced algorithms and models are used to deeply analyze the current signals collected in real time. These signals contain a variety of information such as voltage and current amplitude, frequency, phase difference, harmonic components, etc., which can reflect the working status and potential problems of the power system. The edge computing unit uses this information to comprehensively evaluate the status of the secondary circuit. Through in-depth analysis of current signals, the system can identify whether the circuit is in normal working condition, or whether there are abnormal conditions such as overload, short circuit, open circuit, harmonic pollution, etc. This real-time analysis capability enables the system to quickly identify problems without waiting for feedback from remote servers, reducing the time difference from fault identification to response, which is of great significance to ensuring power grid safety, improving operating efficiency, and preventing accidents. In addition, it can also reduce network bandwidth pressure, reduce data transmission costs, and increase the autonomy and robustness of the system.

[0031] In step 300, after completing the edge computing analysis in step 200, if an abnormality is found in the secondary circuit (the circuit part responsible for signal transmission and control), such as the current and voltage parameters deviating from the normal range, or an unexpected signal pattern is detected, the system will immediately mark this state as abnormal. Once the abnormality is identified, the system immediately triggers the preset reporting process. This mechanism usually includes several key steps: recording the details of the abnormality (such as time, location, and abnormality type), integrating relevant data packets, and reporting this information to the monitoring center or a higher-level management system through a reliable communication channel. The reporting time of abnormal events is stipulated to be no more than 5 minutes, which is based on the demand for real-time monitoring and rapid response of the power system. In the power industry, timely handling of faults is crucial to preventing accidents from expanding, reducing power outage time and economic losses. The 5-minute time window ensures that the operation and maintenance personnel can quickly learn about the problem and intervene in time to avoid potential safety risks and equipment damage. After receiving the abnormal report, the operation and maintenance team can immediately diagnose the fault and take emergency measures, such as remote reset, adjusting operating parameters, or dispatching technicians to inspect and repair on site. At the same time, this mechanism also promotes the accumulation of fault databases, providing data support for future fault prediction and prevention.

[0032] According to the flexible regulation unit loop inspection method provided by the embodiment of the first aspect of the present application, the current signal in the secondary loop of the current transformer is continuously collected through a highly sensitive sensor, which is the basis of the entire process and ensures the freshness and accuracy of the data for subsequent analysis. Then, these raw data are processed instantly inside the flexible regulation unit, and edge computing technology plays an important role here. It can complete the data analysis task close to the data source without sending all data to the remote server, greatly reducing the processing time and network burden. Based on the characteristics of the current signal, the system can quickly determine whether the loop is in normal working condition. Once the analysis results show that there is an abnormality in the secondary loop (such as an open circuit, a short circuit or other unexpected conditions), the system will immediately activate the abnormal event reporting mechanism. This mechanism ensures that the fault information can be delivered within 5 minutes, which wins valuable time for rapid response measures. In summary, the flexible regulation unit loop inspection method provided by the present application, through real-time acquisition and edge computing analysis of current signals, quickly identifies the secondary loop status in the power system and reports the abnormality in time, solves the problems of traditional monitoring delay, slow response and strong dependence, and improves the timeliness and stability of power system fault handling.

[0033] In some embodiments of the present application, the current signal in the secondary circuit of the current transformer is collected in real time, specifically: Collect current signals in real time at a high-frequency sampling rate; Preprocess the current signal.

[0034] The current signal is a direct indicator of the operating status of the power system. In order to accurately capture various details in the signal (including transient changes, harmonic components, etc.), high-frequency sampling is very critical. High-frequency sampling means collecting thousands to millions of times per second (for example, a few kHz to MHz level), which ensures that even the slightest current fluctuations can be captured and no information that may indicate system abnormalities will be missed. The high-frequency sampling rate improves the resolution of the signal, allowing subsequent analysis to more accurately identify subtle changes in current characteristics, providing a high-quality data foundation for fault diagnosis and condition monitoring.

[0035] The original collected current signal often contains noise, interference or other unwanted components, which will affect the accuracy of subsequent analysis. The preprocessing steps are designed to remove these undesirable effects, including but not limited to: Filtering: Use digital filters (such as low-pass filters) to remove high-frequency noise and retain useful signal components.

[0036] Calibration: Adjust the gain and offset of the acquired signal to ensure the accuracy and consistency of the signal.

[0037] Detrending: If the signal contains slowly changing trend components, detrending processing is required to highlight instantaneous changes.

[0038] Normalization: Adjust the signal to a uniform scale or range to facilitate comparison and subsequent algorithm processing.

[0039] Through these preprocessing steps, the raw signal is converted into a clear and pure form, providing optimized data input for subsequent edge computing analysis, thereby ensuring the reliability and accuracy of state judgment and anomaly detection.

[0040] In some embodiments of the present application, edge computing analysis is performed inside the unit to determine the status information of the secondary circuit based on the current signal, specifically: Define the effective value characteristic quantity, waveform characteristic quantity, harmonic content characteristic quantity and phase relationship characteristic quantity of the current signal; Establish a feature library for normal and fault conditions; Match the effective value feature, waveform feature, harmonic content feature and phase relationship feature with the predefined fault feature library to identify the state of the secondary circuit.

[0041] The effective value characteristic reflects the average power level of the current and is a basic indicator for measuring the energy consumption of the load or system. The waveform characteristic describes the shape of the current over time. Abnormal waveforms indicate internal faults or external interference in the system. The harmonic content characteristic is used to evaluate the harmonic components of the current signal except the fundamental wave. Abnormal harmonic content affects equipment efficiency and grid quality. The phase relationship characteristic is used to analyze the phase difference between current and voltage or between other phase currents, which is crucial for diagnosing system balance and fault location.

[0042] Based on historical data and theoretical analysis, a feature library of normal operating conditions and various typical fault conditions is established. These feature libraries contain typical values ​​or ranges of the above feature quantities in different conditions, which serve as reference standards for subsequent state identification.

[0043] The feature quantities extracted in real time are compared with the feature library, and the similarity between the current signal features and the known fault mode is evaluated through algorithms (such as distance measurement, probability matching or machine learning classifier). If the matching result shows a high degree of fit with a certain fault mode, it is determined that the secondary circuit is in the corresponding abnormal state; conversely, if the feature quantities are all within the normal range, it indicates that the system is operating normally.

[0044] In summary, this step combines signal processing, feature extraction and pattern recognition technologies, and uses edge computing capabilities to complete it locally in real time, greatly improving the efficiency and accuracy of fault detection, and providing solid data support for the rapid response and maintenance decisions of smart grids.

[0045] In some embodiments of the present application, the status information of the secondary circuit includes a normal connection status, an open circuit status, a secondary terminal shunt status, a primary shunt status, a circuit series rectifier device status, and an abnormal magnetic field status.

[0046] Specifically, the normal connection status means that there is no abnormality in the secondary circuit, the current signal is transmitted normally, and various characteristic quantities (such as effective value, waveform, harmonic content, and phase relationship) are in line with expectations, indicating that the system runs smoothly and is not affected by any obvious interference or fault.

[0047] The open circuit state means that a circuit break occurs in the secondary circuit and the current cannot flow. At this time, the current signal will drop significantly or disappear completely, which is manifested as the effective value characteristic quantity approaching zero and the waveform displayed as a flat line, indicating that there is a disconnection or poor contact problem in the system.

[0048] The secondary terminal shunt state means that an additional current path occurs in the secondary circuit due to wiring errors or insulation damage. In this state, the distribution of the current signal does not match the design, and a decrease in effective value, waveform distortion or phase shift will be observed, indicating that the current fails to pass through the intended path correctly.

[0049] Although the primary shunt state directly refers to the abnormality of the primary side of the current transformer, it indirectly affects the signal of the secondary circuit. The primary shunt causes the secondary side induced current to change. The characteristic quantity analysis will reveal the deviation from the normal situation. It is necessary to further check whether there is a shunt or short circuit problem in the primary circuit.

[0050] The state of the circuit connected to the rectifier device in series means that when a nonlinear load (such as a rectifier or inverter) is connected to the secondary circuit, a non-sinusoidal current containing a large number of harmonics will be generated. In this state, the characteristic quantity of the harmonic content increases significantly, and the waveform presents a non-sinusoidal characteristic, indicating that there is an unexpected decrease in the current quality in the circuit.

[0051] The abnormal magnetic field state means that if the magnetic field around the current transformer is disturbed by the outside world (such as a large motor starting nearby or magnetic materials approaching), the true reflection of the current signal will be affected. In this case, the phase relationship of the current signal changes and the waveform is distorted, reflecting the signal distortion under the action of the abnormal magnetic field.

[0052] In some embodiments of the present application, edge computing analysis is performed within the unit, specifically: Obtain historical fault feature data, identify and extract fault feature vectors; The fault feature vector is configured in the fault feature library.

[0053] The process of obtaining historical fault feature data involves collecting current signal data related to past fault instances. These data usually contain information about current changes during and around the fault, and are valuable resources for analyzing fault characteristics. These data may come from historical records, simulation experiments, or records of actual fault cases, with the goal of accumulating enough samples to cover a variety of fault types and operating conditions. From the collected historical fault data, signal processing and data analysis techniques are used to identify features that can characterize specific fault types. A feature vector is a set of values ​​that summarizes and represents key attributes of a current signal, such as effective value, certain statistics of the waveform, distribution of harmonic components, phase difference, etc. These feature vectors are extracted based on their ability to distinguish different fault modes and their ease of processing and comparison in subsequent analysis. The extracted feature vectors are sorted and stored in a fault feature library according to the corresponding fault type. This library is equivalent to a knowledge base that contains the "fingerprints" of various known fault modes. Each feature vector or its combination represents a type or class of faults, and the library also includes feature references for normal operating conditions. In the real-time monitoring process, by comparing the current signal feature vector currently monitored with the records in the library, it is possible to quickly identify whether the system is currently in a normal state or what type of fault has occurred. Through this series of steps, the edge computing unit can not only monitor the status of the secondary circuit in real time, but also perform fault diagnosis based on historical experience and prior knowledge, improving the accuracy and response speed of fault identification.

[0054] In some embodiments of the present application, when the secondary circuit is in an abnormal state, an abnormal event reporting mechanism is started, specifically: Analyze abnormal status, classify abnormal events into emergency level, important level, minor level and maintenance level according to the abnormal event level definition standard, and generate fault status coding information; The fault status coding information is uploaded to the main station through edge-to-edge communication.

[0055] Analyzing abnormal status means that the system first needs to analyze the detected abnormal data to determine the specific manifestation of the abnormality, such as abnormal fluctuations in current and voltage, signal loss, communication interruption, etc. Through advanced data analysis algorithms and preset rule sets, the system can identify the causes of these abnormalities. In order to effectively allocate resources to deal with problems of different severity, abnormal events will be classified into different levels. Common classifications include: Emergency level: Failures that involve system safety and may cause major accidents or large-scale power outages.

[0056] Important level: Faults that do not immediately threaten system security but will affect power supply quality and efficiency.

[0057] Minor level: Issues that have little impact on system operation but still require attention and timely processing.

[0058] Maintenance level: refers to those conditions that will not directly affect the current operation of the system, but may cause problems if they exist for a long time and are suitable for planned maintenance.

[0059] For each identified and classified abnormal event, the system generates a unique fault status code. This code contains key information such as fault type, level, and time of occurrence, which facilitates quick identification and tracing of problems. Once the fault status code is generated, the information will be transmitted through the "edge-to-edge communication" mechanism. Edge-to-edge communication refers to direct communication between edge computing nodes without going through a central server, which can reduce latency and speed up response. In this embodiment, the edge computing node will send the fault status code information to the superior master station or monitoring center, so that the operation and maintenance personnel can immediately receive an alarm and take appropriate measures.

[0060] In some embodiments of the present application, the flexible regulation unit loop inspection method further includes: The control master station parses the fault status coding information, determines the fault type, location and fault level, generates and feeds back maintenance instructions; Based on maintenance instructions, adjust the power supply load at locations adjacent to the fault point, activate backup lines, and redistribute power flow.

[0061] After receiving the fault status code uploaded from the edge node, the master station (i.e., the central control unit of the power system) will use the built-in parsing algorithm or rule base to decode the information. This process involves identifying the type of fault contained in the code (such as short circuit, overload, equipment damage, etc.), the precise location of the fault, and the severity of the fault. This instant parsing capability is crucial for subsequent accurate dispatch.

[0062] Based on the analyzed fault details, the master station will formulate specific maintenance or emergency response strategies. This includes but is not limited to dispatching maintenance teams, isolating fault areas, adjusting operating parameters, etc. The master station will then generate maintenance instructions containing these operation instructions and feed them back to the relevant edge nodes or directly to the smart devices on site to ensure that the execution layer can take prompt action.

[0063] To prevent the spread of faults or reduce the pressure on the affected areas, the system will automatically adjust the power demand in the area around the fault point, such as temporarily reducing the power supply to non-critical users to ensure that the power supply to critical facilities is not affected. If the main line fails, the system will automatically switch to the preset backup line to maintain the continuity of power supply. The activation of backup lines is an important redundancy measure in power grid design to improve the reliability and resilience of the system. Through smart grid technology, the master station can dynamically reconfigure the power flow of the power grid, bypass the fault area, optimize the power distribution of the remaining network, and ensure the efficiency and stability of power transmission.

[0064] In some embodiments of the present application, the flexible regulation unit loop inspection method further includes: Feedback maintenance results to the main station through edge-to-edge communication; The control master verifies the status of the secondary circuit based on the maintenance results; After verification, normal operation of the secondary circuit is restored.

[0065] After completing the maintenance task, the edge computing nodes or smart devices on site will report the completion and results of the maintenance work to the superior edge nodes or directly to the master station through "edge-to-edge communication" (i.e. direct communication between devices, rather than through the central master station). This includes information such as the specific measures of the maintenance, whether the repair is successful, and the status monitoring data after the repair. Edge-to-edge communication improves the speed and efficiency of information transmission, which helps to speed up the response speed of the entire system. After receiving the maintenance results, the master station will start a verification process to perform a comprehensive status check on the repaired secondary circuit. This step includes remote testing of the functionality of the circuit, checking whether various parameters meet the standards, and monitoring the performance of the circuit under simulated or actual loads. The purpose is to ensure that the circuit is not only repaired, but also can be put back into operation stably and safely to avoid introducing new problems due to improper maintenance. Once the secondary circuit has passed all necessary status verifications and confirmed that its performance meets the expected standards and safety requirements, the master station will issue instructions to gradually or immediately restore the normal power supply or signal transmission function of the circuit. This marks the successful completion of the entire fault response and repair process, and the system is restored to full capacity operation. At the same time, the relevant monitoring and protection mechanisms will be reactivated to prepare for the next possible abnormality.

[0066] The entire process reflects the high level of automation and intelligence in modern power system management. Through a tight monitoring-feedback-repair-verification mechanism, it ensures high availability and reliability of the system, reduces the need for manual intervention, and improves operation and maintenance efficiency and safety.

[0067] like Figure 2 As shown, the second embodiment of the present application provides a flexible regulating unit loop inspection device, including: The signal acquisition module 110 is suitable for real-time acquisition of current signals in the secondary circuit of the current transformer; A determination module 120, adapted to perform edge computing analysis within the unit and determine status information of the secondary circuit based on the current signal; The event reporting module 130 is adapted to start an abnormal event reporting mechanism when the secondary circuit is in an abnormal state, wherein the abnormal event reporting time does not exceed 5 minutes.

[0068] The flexible regulation unit loop inspection device provided in the second aspect embodiment of the present application can implement the flexible regulation unit loop inspection method in any embodiment of the first aspect above, and thus can achieve any technical effect in the above flexible regulation unit loop inspection method, which will not be repeated here.

[0069] The third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the flexible regulation unit loop inspection method in any of the embodiments of the first aspect when executing the program.

[0070] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the flexible regulation unit loop inspection method in any embodiment of the first aspect, the method comprising: Step 100: collect the current signal in the secondary circuit of the current transformer in real time.

[0071] Step 200: Perform edge computing analysis inside the unit to determine the status information of the secondary circuit based on the current signal.

[0072] Step 300: When the secondary circuit is in an abnormal state, the abnormal event reporting mechanism is started, wherein the abnormal event reporting time does not exceed 5 minutes.

[0073] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0074] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the flexible regulation unit loop inspection method provided by the above methods, the method includes: Step 100: collect the current signal in the secondary circuit of the current transformer in real time.

[0075] Step 200: Perform edge computing analysis inside the unit to determine the status information of the secondary circuit based on the current signal.

[0076] Step 300: When the secondary circuit is in an abnormal state, the abnormal event reporting mechanism is started, wherein the abnormal event reporting time does not exceed 5 minutes.

[0077] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the flexible regulation unit loop inspection method provided by the above methods is implemented, and the method includes: Step 100: collect the current signal in the secondary circuit of the current transformer in real time.

[0078] Step 200: Perform edge computing analysis inside the unit to determine the status information of the secondary circuit based on the current signal.

[0079] Step 300: When the secondary circuit is in an abnormal state, the abnormal event reporting mechanism is started, wherein the abnormal event reporting time does not exceed 5 minutes.

[0080] Anything not described in this application can be achieved by adopting or drawing on existing technologies.

[0081] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0082] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A flexible regulation unit loop inspection method, characterized in that: include: Real-time acquisition of current signals in the secondary circuit of the current transformer; Performing edge computing analysis within the unit to determine status information of the secondary circuit based on the current signal; When the secondary circuit is in an abnormal state, an abnormal event reporting mechanism is started, wherein the abnormal event reporting time does not exceed 5 minutes.

2. The flexible regulation unit loop inspection method according to claim 1, characterized in that: The real-time acquisition of the current signal in the secondary circuit of the current transformer is specifically as follows: Collecting the current signal in real time at a high frequency sampling rate; The current signal is preprocessed.

3. The flexible regulation unit loop inspection method according to claim 1, characterized in that: The edge computing analysis is performed inside the unit to determine the status information of the secondary circuit based on the current signal, specifically: Defining the effective value characteristic quantity, waveform characteristic quantity, harmonic content characteristic quantity and phase relationship characteristic quantity of the current signal; Establish a feature library for normal and fault conditions; The effective value feature quantity, the waveform feature quantity, the harmonic content feature quantity and the phase relationship feature quantity are matched with a predefined fault feature library to perform state identification on the secondary circuit.

4. The flexible regulation unit loop inspection method according to claim 3 is characterized in that: The status information of the secondary circuit includes normal connection status, open circuit status, secondary terminal shunt status, primary shunt status, circuit series rectifier device status and magnetic field abnormality status.

5. The flexible regulation unit loop inspection method according to claim 3, characterized in that: The edge computing analysis is performed inside the unit, specifically: Obtain historical fault feature data, identify and extract fault feature vectors; The fault feature vector is configured in the fault feature library.

6. The flexible regulation unit loop inspection method according to any one of claims 1 to 5, characterized in that: When the secondary circuit is in an abnormal state, the abnormal event reporting mechanism is started, specifically: Analyze the abnormal state, classify the abnormal event into emergency level, important level, minor level and maintenance level according to the abnormal event level definition standard, and generate fault state coding information; The fault status coding information is uploaded to the main station through edge-to-edge communication.

7. The flexible regulation unit loop inspection method according to claim 6, characterized in that: The flexible regulation unit loop inspection method further includes: Control the master station to parse the fault status coding information, determine the fault type, location and level, and generate and feedback a maintenance instruction; Based on the maintenance instruction, the power supply load at the location adjacent to the fault point is adjusted, the backup line is activated, and the power flow is redistributed.

8. The flexible regulation unit loop inspection method according to claim 7, characterized in that: The flexible regulation unit loop inspection method further includes: Feedback of maintenance results to the master station through edge-to-edge communication; Controlling the master station to perform status verification on the secondary circuit based on the maintenance result; After the verification is passed, the normal operation of the secondary circuit is restored.

9. A flexible regulating unit loop inspection device, characterized in that: include: A signal acquisition module, suitable for real-time acquisition of current signals in the secondary circuit of the current transformer; A determination module, adapted to perform edge computing analysis within the unit, and determine state information of the secondary circuit based on the current signal; The event reporting module is adapted to start an abnormal event reporting mechanism when the secondary circuit is in an abnormal state, wherein the abnormal event reporting time does not exceed 5 minutes.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the flexible regulation unit loop inspection method as described in any one of claims 1 to 8 is implemented.

Images