Fault diagnosis method, device and equipment based on multi-node check switch control loop

Abstract

The invention relates to a fault diagnosis method, device and equipment for checking a switch control loop based on multiple nodes. The method comprises the following steps: acquiring a switch state signal of switch equipment in a power distribution network and a voltage pulse signal and a current signal of the switch control loop when the switch equipment executes an action in real time; performing timestamp alignment processing on the switch state signal, the voltage pulse signal and the current signal to obtain correlation analysis data; and performing fault judgment by adopting a logic rule according to the correlation analysis data to obtain a fault type. According to the fault diagnosis method based on the multi-node check switch control loop, the obtained data is subjected to time alignment processing to obtain the correlation analysis data, then the correlation analysis data is analyzed through multiple logic rules, different fault types can be efficiently analyzed, the accuracy and response speed of fault detection can be improved, and the fault diagnosis efficiency is improved. The problems of low inspection efficiency and long troubleshooting period caused by human factor interference in a fault diagnosis mode of an existing switch control loop are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system fault diagnosis, and in particular to a fault diagnosis method, device and equipment based on multi-node inspection of a switch control loop. BACKGROUND

[0002] In the operation and maintenance of power distribution network automation switch devices, fault diagnosis of the switch control loop is a key link to ensure the reliability of the power distribution network. In the prior art, the operation and maintenance personnel usually rely on the following methods for troubleshooting; the first method is to perform fault troubleshooting by on-site manual inspection: when the switch device fails to operate or malfunctions, the operation and maintenance personnel need to arrive at the scene to determine the fault cause by visual inspection, secondary loop testing and experience. The second method is to perform fault troubleshooting by single signal monitoring: some existing devices only monitor a single signal of voltage or current, lacking the ability to synchronously collect and correlate multiple node signals. The third method is to perform fault troubleshooting by static threshold determination: fixed threshold values are used to determine the abnormality of the switch control loop, which cannot dynamically adjust the diagnostic parameters according to device aging or environmental changes. The above fault troubleshooting methods have the following shortcomings: first, the fault state cannot be completely preserved: after the switch device fails to operate, the switch control loop state (such as voltage pulse, current waveform) at the time of the fault is not recorded in order to shorten the power outage time, making it difficult to accurately reproduce the fault scenario during subsequent inspection due to the lack of data, and even causing misjudgment. Second, the inspection process relies on human experience: the switch control loop involves complex secondary circuits and mechanical structures, and the operation and maintenance personnel need to have excellent map reading ability and troubleshooting experience; however, manual inspection can cause secondary faults (such as accidental contact of the switch) due to operational errors, and inexperienced personnel cannot distinguish between similar fault phenomena such as control loop disconnection and operation mechanism jamming. Third, inefficient repeated inspection is time-consuming: according to statistics, the proportion of failure to operate due to spring-type operation mechanism jamming is more than 50%, but the existing technology cannot distinguish between mechanism failure and switch control loop abnormality in the early stage of the fault, resulting in repeated inspection of the normal loop by the operation and maintenance personnel, wasting manpower and time. Fourth, the fault type determination is ambiguous: switch device malfunction may be caused by switch control loop short circuit, external interference or mechanical mis-triggering, but existing devices lack the ability to correlate multiple signals, and can only provide general alarms, failing to accurately locate the fault node and prolonging the troubleshooting period. SUMMARY

[0003] The present application provides a fault diagnosis method, device and equipment based on multi-node inspection of a switch control loop, to solve the technical problem that existing switch control loop fault diagnosis methods are disturbed by human factors, resulting in low inspection efficiency and long troubleshooting period.

[0004] To achieve the above purpose, the present application provides the following technical solutions:

[0005] In one aspect, a fault diagnosis method based on multi-node check switch control loop is provided, comprising the following steps:

[0006] Real-time acquisition of switch state signals of switch devices in a power distribution network, and voltage pulse signals and current signals of the switch control loop when the switch devices perform actions;

[0007] Timestamp alignment processing of the switch state signals, the voltage pulse signals and the current signals to obtain correlation analysis data;

[0008] Fault judgment according to the correlation analysis data using a logical rule to obtain a fault type.

[0009] Preferably, the logical rule comprises:

[0010] In the same timestamp, if the correlation analysis data contains the voltage pulse signals and the current signals, and does not contain the switch state signals, the fault type is a structural fault of the switch device;

[0011] In the same timestamp, if the correlation analysis data contains the voltage pulse signals, and does not contain the current signals and the switch state signals, the fault type is a broken wire fault of the switch control loop when the switch device performs an action;

[0012] In the same timestamp, if the correlation analysis data does not contain the voltage pulse signals, the current signals and the switch state signals, the fault type is an outlet fault of the device corresponding to the switch state signals:

[0013] In the same timestamp, if the correlation analysis data contains the switch state signals, and does not contain the current signals and the voltage pulse signals, the fault type is a false trigger fault of the switch device;

[0014] In the same timestamp, if the correlation analysis data contains the switch state signals, the current signals and the voltage pulse signals, and the switch device does not receive a control instruction at this time, the fault type is a short circuit fault of the switch control loop when the switch device performs an action.

[0015] Preferably, the timestamp alignment processing of the switch state signals, the voltage pulse signals and the current signals to obtain correlation analysis data comprises: acquiring a timestamp error, and aligning the switch state signals, the voltage pulse signals and the current signals using a clock synchronization technology according to the timestamp error to obtain the correlation analysis data.

[0016] Preferably, the content of acquiring the timestamp error comprises:

[0017] After injecting each test signal into the switch control circuit, a transmission delay time from sending to receiving of each test signal is obtained;

[0018] The transmission delay time with the largest value is selected from all the transmission delay times as an upper limit value of the timestamp error;

[0019] The timestamp error is [0, the upper limit value].

[0020] Preferably, the fault diagnosis method based on the multi-node inspection switch control circuit further comprises:

[0021] The switch state signals, the voltage pulse signals and the current signals are formed into corresponding switch state time sequence data, voltage waveforms and current curves according to the obtained time;

[0022] The fault type, the switch state time sequence data, the voltage waveforms and the current curves are stored.

[0023] Preferably, the fault diagnosis method based on the multi-node inspection switch control circuit further comprises:

[0024] Harmonic components are extracted from the voltage waveforms, and if the harmonic components exceed a set harmonic normal range, it is determined that the fault type is a poor contact of a switch device or line aging;

[0025] A tripping current rising rate in a tripping process or a current falling rate in a closing process is obtained from the current curves, and if the current rising rate and / or the current falling rate is lower than a corresponding set rate normal value, it is determined that the fault type is a sticking or increased mechanical resistance of an operating mechanism of a switch device.

[0026] On the other hand, a fault diagnosis device based on a multi-node inspection switch control circuit is provided, comprising a signal acquisition module, a time sequence alignment module and a fault judgment module;

[0027] The signal acquisition module is configured to obtain, in real time, switch state signals of a switch device in a power distribution network and voltage pulse signals and current signals of a switch control circuit when the switch device performs an action;

[0028] The time sequence alignment module is configured to perform timestamp alignment processing on the switch state signals, the voltage pulse signals and the current signals to obtain correlation analysis data;

[0029] The fault judgment module is configured to perform fault judgment according to the correlation analysis data using a logic rule to obtain a fault type.

[0030] Preferably, the fault diagnosis device based on the multi-node inspection switch control loop further comprises an alarm and storage module, which is configured to form corresponding switch state time sequence data, voltage waveform and current curve according to the obtained time of all the switch state signals, the voltage pulse signals and the current signals, and store the fault type, the switch state time sequence data, the voltage waveform and the current curve.

[0031] Preferably, the logical rules comprise:

[0032] In the same time stamp, if the voltage pulse signal and the current signal exist in the correlation analysis data and the switch state signal does not exist, the fault type is a structural fault of the switch device.

[0033] In the same time stamp, if the voltage pulse signal exists in the correlation analysis data and the current signal and the switch state signal do not exist, the fault type is a disconnection fault of the switch control loop when the switch device performs an action.

[0034] In the same time stamp, if the voltage pulse signal, the current signal and the switch state signal do not exist in the correlation analysis data, the fault type is an outlet fault of the device corresponding to the switch state signal:

[0035] In the same time stamp, if the switch state signal exists in the correlation analysis data and the current signal and the voltage pulse signal do not exist, the fault type is a false trigger fault of the switch device.

[0036] In the same time stamp, if the switch state signal, the current signal and the voltage pulse signal exist in the correlation analysis data and the switch device does not receive a control instruction at this time, the fault type is a short circuit fault of the switch control loop when the switch device performs an action.

[0037] In another aspect, a terminal device is provided, comprising a processor and a memory;

[0038] The memory is configured to store program code and transmit the program code to the processor.

[0039] The processor is configured to execute the above-mentioned fault diagnosis method based on the multi-node inspection switch control loop according to instructions in the program code.

[0040] The fault diagnosis method, device and equipment based on the multi-node check switch control loop comprises the following steps: acquiring in real time a switch state signal of a switch device in a power distribution network and a voltage pulse signal and a current signal of a switch control loop when the switch device performs an action; performing time stamp alignment processing on the switch state signal, the voltage pulse signal and the current signal to obtain correlation analysis data; and performing fault judgment on the correlation analysis data by using a logical rule to obtain a fault type.

[0041] From the above technical solutions, the application has the following advantages: the fault diagnosis method based on the multi-node check switch control loop can efficiently analyze different fault types by obtaining data, performing time alignment processing to obtain correlation analysis data, and analyzing the correlation analysis data by using multiple logical rules, which helps to improve the accuracy and response speed of fault detection and solves the technical problems of low inspection efficiency and long troubleshooting period caused by human factor interference in the existing fault diagnosis method of a switch control loop.

[0042] The fault diagnosis device based on the multi-node check switch control loop can realize synchronous acquisition and analysis of multi-node signals by means of a signal acquisition module, a time sequence alignment module and a fault judgment module, and can quickly identify and accurately locate the fault type by means of correlation analysis of logical rules, thereby reducing the time and manual intervention for troubleshooting. Timely fault alarm and rapid response can effectively reduce the equipment downtime and improve the overall operation efficiency of the equipment. Storing the voltage pulse signal, the current signal and the switch state data at the time of fault not only helps to handle the fault in time, but also provides valuable data support for long-term maintenance and fault mode analysis of the equipment. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0044] Figure 1 The step flow chart of the fault diagnosis method based on the multi-node check switch control loop described in the embodiments of the present application;

[0045] Figure 2 The frame schematic diagram of the fault diagnosis device based on the multi-node check switch control loop described in the embodiments of the present application;

[0046] Figure 3 The schematic diagram of the terminal device described in the embodiments of the present application. DETAILED DESCRIPTION

[0047] In order to make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the embodiments described below are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0048] In the description of the embodiments of the present application, the terms "first", "second" are used only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. In the description of the embodiments of the present application, the meaning of "multiple" is two or more, unless otherwise explicitly specified and limited.

[0049] In the embodiments of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection", "fixing" and the like should be understood in a broad sense, for example, it can be fixed connection, or detachable connection, or integrated; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0050] The embodiments of the present application provide a fault diagnosis method, device and equipment based on multi-node check switch control circuit, which solves the technical problem that the existing fault diagnosis mode of switch control circuit is disturbed by human factors, resulting in low checking efficiency and long troubleshooting period.

[0051] Embodiment one:

[0052] Figure 1 The step flow chart of the fault diagnosis method based on multi-node check switch control circuit described in the embodiments of the present application.

[0053] As Figure 1 shown, the embodiments of the present application provide a fault diagnosis method based on multi-node check switch control circuit, comprising the following steps:

[0054] S1. Real-time acquisition of switch state signal of switch device in power distribution network and voltage pulse signal and current signal of switch control circuit when switch device executes action.

[0055] It should be noted that in step S1, the data of the switch device in the power distribution network and the switch control loop where the switch device is located are acquired, including switch state signals, voltage pulse signals and current signals, realizing data collection of multiple nodes. In this embodiment, the voltage pulse signals of the tripping control command and the closing control command in the switch control loop are collected in real time by a voltage sensor, and a Hall current sensor can also be used to collect the current signals of the tripping control command and the closing control command in the switch control loop. The switch state signals of the tripping state signals or the closing state signals fed back by the switch device are acquired in real time.

[0056] S2. Time stamp alignment processing is performed on the switch state signals, voltage pulse signals and current signals to obtain correlation analysis data.

[0057] It should be noted that in step S2, the switch state signals are time stamped and aligned with the voltage pulse signals and the current signals according to the data obtained in step S1, providing data for subsequent fault diagnosis. In this embodiment, the synchronous acquisition of the switch state signals and the time alignment of the voltage pulse signals and the current signals are very critical, ensuring the time accuracy between different signal sources (voltage, current, switch state), so that they can be correctly corresponded and aligned in subsequent analysis.

[0058] S3. Fault judgment is performed according to the correlation analysis data using logical rules to obtain the fault type.

[0059] It should be noted that in step S3, fault judgment is first performed according to the correlation analysis data obtained in step S2 to obtain the fault type, realizing fault diagnosis of the switch control loop based on multiple node checking. In this embodiment, the fault diagnosis method based on multiple node checking of the switch control loop analyzes the correlation analysis data through multiple logical rules, which can efficiently analyze different fault types, helping to improve the accuracy and response speed of fault detection.

[0060] The fault diagnosis method based on multiple node checking of the switch control loop provided in this application includes acquiring the switch state signals of the switch device in the power distribution network and the voltage pulse signals and current signals of the switch control loop when the switch device performs an action; performing time stamp alignment processing on the switch state signals, voltage pulse signals and current signals to obtain correlation analysis data; and performing fault judgment according to the correlation analysis data using logical rules to obtain the fault type. The fault diagnosis method based on multiple node checking of the switch control loop obtains correlation analysis data through time alignment processing of the acquired data, and then analyzes the correlation analysis data through multiple logical rules, which can efficiently analyze different fault types, helping to improve the accuracy and response speed of fault detection, solving the technical problem that the existing fault diagnosis method of the switch control loop is disturbed by human factors, resulting in low inspection efficiency and long troubleshooting period.

[0061] It should be noted that this fault diagnosis method based on multi-node inspection of switch control loops uses the synchronous acquisition and analysis of multi-node signals, combined with correlation analysis based on logical rules, to quickly identify and accurately locate the fault type, reducing troubleshooting time and manual intervention. This method, based on multi-node inspection of switch control loops, automates switch control loop fault diagnosis, reducing human interference and empowering distribution network systems with enhanced self-repair and self-diagnosis capabilities.

[0062] In one embodiment of the present application, the logic rules include:

[0063] At the same time stamp, if the correlation analysis data contains voltage pulse signals and current signals, but no switch status signals, the fault type is a structural fault of the switchgear.

[0064] At the same timestamp, if there is a voltage pulse signal in the correlation analysis data, but no current signal or switch status signal, the fault type is a disconnection fault in the switch control circuit when the switch device performs an action;

[0065] At the same timestamp, if the voltage pulse signal, current signal, and switch status signal do not exist in the correlation analysis data, the fault type is an outlet fault of the device that issued the switch status signal:

[0066] At the same timestamp, if the associated analysis data contains a switch state signal but no current signal or voltage pulse signal, the fault type is a switch device mis-triggering fault;

[0067] At the same timestamp, if the associated analysis data contains a switch state signal, a current signal, and a voltage pulse signal, and the switching device does not receive a control instruction at this time, the fault type is a short-circuit fault in the switch control loop when the switching device performs an action.

[0068] It should be noted that a structural fault in a switchgear device can be a fault in the switchgear's operating mechanism or a fault in the switchgear's mechanical transmission components. In this embodiment, the fault diagnosis method based on multi-node inspection of the switch control loop uses logical rules to perform fault diagnosis on the correlation analysis data obtained in step S2. For example, if a voltage pulse signal and a current signal are present at the same timestamp but a switch status signal is not obtained, a structural fault in the switchgear device may be the cause. If a voltage pulse signal is present but a current signal and a switch status signal are missing, a disconnection in the switch control loop may be the cause.

[0069] In an embodiment of the present application, the time stamp alignment processing is performed on the switch state signal, the voltage pulse signal and the current signal, and the correlation analysis data is obtained by: obtaining the time stamp error, and using the clock synchronization technology to perform the alignment processing on the switch state signal, the voltage pulse signal and the current signal according to the time stamp error, so as to obtain the correlation analysis data.

[0070] It should be noted that the time stamps of the voltage pulse signal, the current signal and the switch state signal are ensured to be within the range of the time stamp error by the hardware clock synchronization technology. In the embodiment, in order to ensure the alignment of the time stamps of the voltage pulse signal, the current signal and the switch state signal, first, the hardware clock synchronization technology is used to synchronize all the signal collection time stamps; the hardware clock synchronization technology is to use an accurate hardware clock (such as a high-precision synchronous clock or a GPS clock) to synchronize the time of all signal sources, so as to avoid the data deviation caused by the time error between different signal sources. Through this synchronization process, it is ensured that the error of the aligned time stamps of the voltage pulse signal, the current signal and the switch state signal is strictly controlled within the range of the time stamp error.

[0071] In order to further accurately control the alignment error of the time stamp, it is necessary to determine the time stamp error, and in the embodiment of the present application, the content of obtaining the time stamp error includes:

[0072] After injecting each test signal into the switch control loop, the transmission delay time of each test signal from sending to receiving is obtained;

[0073] The maximum transmission delay time is selected from all the transmission delay times as the upper limit value of the time stamp error;

[0074] Wherein, the time stamp error = [0, upper limit value].

[0075] It should be noted that the purpose of the timestamp error is to reserve a safety margin to compensate for signal jitter. In this embodiment, during the determination of the timestamp error, standard test signals are injected into the switch control loop to simulate signal transmission in normal operation. These standard test signals have known characteristics and time properties. Then, by measuring the transmission delay time from signal sending to receiving, the time delay caused during signal propagation can be obtained. This time delay includes the propagation time of the signal, the delay of the transmission line and other factors. By measuring the maximum transmission delay time delay, combined with a certain safety margin, the upper limit of the timestamp error of the timestamp alignment is set. The setting of the safety margin takes into account the signal jitter, environmental changes and other uncertain factors that may exist in the power distribution network, to ensure that even under the influence of these factors, the time alignment error of the signal is still within an acceptable range. This timestamp alignment step can effectively avoid the problem of time inconsistency in signal acquisition through hardware clock synchronization and reasonable error control, thereby ensuring the accurate alignment of each signal in time sequence, which is crucial for subsequent data processing and analysis, especially in applications that require accurate comparison of voltage, current and switch state. Any small time difference may affect the accuracy.

[0076] In an embodiment of the present application, the fault diagnosis method based on the multi-node inspection switch control loop further comprises:

[0077] The switch state signals, voltage pulse signals and current signals are formed into corresponding switch state time sequence data, voltage waveforms and current curves according to the obtained time;

[0078] The fault type, switch state time sequence data, voltage waveform and current curve are stored.

[0079] It should be noted that the fault diagnosis method based on the multi-node inspection switch control loop also stores the obtained fault type, switch state time sequence data, voltage waveform and current curve.

[0080] In an embodiment of the present application, the fault diagnosis method based on the multi-node inspection switch control loop further comprises:

[0081] The harmonic component is extracted from the voltage waveform, and if the harmonic component exceeds the set normal range of harmonics, the fault type is determined to be switch device contact failure or line aging;

[0082] The breaking current rise rate during the breaking process or the current drop rate during the closing process is obtained from the current curve, and if the current rise rate and / or the current drop rate is lower than the corresponding set rate normal value, the fault type is determined to be switch device operating mechanism sticking or increased mechanical resistance.

[0083] In the embodiments of the present application, the specific values of the set harmonic normal range and the set rate normal value can be set according to requirements, which are not specifically limited in the embodiments. In the embodiments, the voltage waveform is subjected to frequency spectrum analysis to extract harmonic components, and if the harmonic components exceed the set harmonic normal range, it is determined that there is poor contact or line aging. The slope of the current curve is analyzed to calculate the opening current rising rate or the current falling rate during opening or closing, and if the current rising rate and / or the current falling rate is lower than the corresponding set rate normal value, it is determined that the operating mechanism is stuck or the mechanical resistance is increased. The frequency spectrum analysis of the voltage waveform can reveal the harmonic components existing in the power system. Generally, the harmonic in the power system is caused by the nonlinear load of the equipment or the fault of the power system, such as poor contact or line aging. By performing Fourier transform or other frequency spectrum analysis methods on the voltage waveform, the harmonic components of different frequencies can be extracted. Thus, by comparing with the standard or historical data, if the amplitude of some harmonic components exceeds the set harmonic normal range, it can be determined that the power system or the switching device has an abnormality. In particular, poor contact or line aging often leads to distortion of the voltage waveform and an increase in harmonic components, so these changes can be obviously observed in the frequency spectrum. When the harmonic components exceed the set harmonic normal range, it can be inferred that the equipment contact point is faulty, or the line performance is reduced due to aging, corrosion, etc., thereby affecting the voltage waveform.

[0084] In the embodiments of the present application, in the power system, the opening or closing process is a dynamic process, and the current change rate can reflect the state of the power equipment. By analyzing the slope of the current curve, the current rising and falling rates can be obtained; this analysis is mainly aimed at the current characteristics during the opening or closing operation. In the opening or closing process of the power equipment, the current change rate should be within a certain range under normal circumstances. If the current rising or falling rate is lower than the set rate normal value (such as the historical normal value), it indicates that the current changes too slowly, which may be due to the sticking of the operating mechanism, the increase of mechanical resistance, or the existence of obstacles in the current path. The abnormality of the current change rate usually indicates that there is a problem in the mechanical structure inside the equipment, such as sticking of the switch contact, insufficient lubrication, or other increase of mechanical resistance. By comparing with the historical normal value, the abnormal change can be detected, and the fault type can be determined.

[0085] In the embodiments of the present application, before the time stamp alignment processing of the switch state signal, the voltage pulse signal and the current signal to obtain the correlation analysis data, the fault diagnosis method based on the multi-node inspection of the switch control loop further comprises: converting the analog signals of the switch state signal, the voltage pulse signal and the current signal into digital signals through an analog-to-digital conversion technology, further extracting the amplitude and duration characteristics of the voltage pulse, and performing adaptive filtering on the current signal to eliminate electromagnetic interference.

[0086] It should be noted that the conversion of analog signals such as switch state signals, voltage pulse signals and current signals into digital signals through the analog-digital conversion technology provides a high-precision data acquisition mechanism, and provides the most basic and accurate data input for subsequent fault diagnosis. The application of analog-digital conversion technology ensures that the signals can be collected in a high-precision and high-resolution manner and can be processed subsequently. The converted digital signals provide a convenient analysis form, and the amplitude and duration of the voltage pulse can be extracted as two key characteristics. Specifically, the amplitude of the voltage pulse reflects the strength of the opening control command or the closing control command, and the duration reflects the length of time the command is applied. Through these characteristics, the switch operation can be accurately judged, and thus the basis for fault diagnosis is provided.

[0087] In the embodiments of the present application, in order to ensure that the processing of the voltage signal has higher robustness, the effective range of the voltage pulse amplitude is set through historical data. First, the historical voltage signal samples of the switch device of the power distribution network under normal opening or closing operation are collected, and abnormal samples caused by transient electrical interference, noise and other factors are removed. After removing the abnormal samples, the remaining sample data can be analyzed statistically to obtain the distribution characteristics of the voltage pulse amplitude. Common statistical characteristics such as mean, standard deviation, maximum value and minimum value can be used to set the dynamic threshold range of the voltage pulse amplitude.

[0088] It should be noted that the threshold range is not static, but is dynamically adjusted according to the statistical characteristics of the historical data. This means that in different working environments and different operating states, the threshold range can be automatically adjusted according to the actual performance of the historical voltage samples to adapt to different operating conditions and ensure the lowest false alarm rate. The setting method of the dynamic threshold has high adaptability and can maintain high accuracy in the face of various working environments, different load states and electrical interference. The analog-digital conversion of the voltage signal and the extraction of the digital signal provide accurate basic data for subsequent feature analysis; and the dynamic threshold setting based on the historical voltage samples ensures that the judgment of the voltage signal amplitude has higher adaptability and accuracy. These technical means ensure that the fault diagnosis can accurately identify different fault modes, especially in the face of complex electrical environment and different operating conditions, which can effectively avoid misjudgment and omission.

[0089] In the embodiments of the present application, the fault diagnosis method based on the multi-node inspection of the switch control loop also dynamically monitors the current signal, and the content of the dynamic monitoring includes:

[0090] The current signal is adaptively filtered to obtain filtered current data; the cutoff frequency of the adaptive filtering is adjusted according to the following method:

[0091] The electromagnetic interference intensity in the switch control loop is monitored in real time;

[0092] Combining the typical interference frequency range under different working conditions in historical interference patterns;

[0093] Dynamic optimization of the cutoff frequency of the filter;

[0094] If the amplitude of the filtered current signal is below the preset threshold or no valid current waveform is detected, it is marked as a current signal abnormal event.

[0095] It should be noted that the original current signal will be subjected to adaptive filtering after acquisition to remove high-frequency noise caused by electromagnetic interference and other factors. The key to this step is that the cutoff frequency of the filter is not fixed but adjusted according to the real-time monitoring of electromagnetic interference intensity. This ensures that the filter can adapt flexibly and optimize its performance under different interference conditions. Real-time monitoring of electromagnetic interference intensity in the switching control circuit. Through real-time analysis of electromagnetic interference, the intensity of the interference can be captured, so as to determine whether the cutoff frequency of the filter needs to be adjusted. For example, when the electromagnetic interference intensity is strong, the filter will automatically adjust the cutoff frequency to better suppress the interference signal. In addition to real-time interference monitoring, the typical interference frequency range under different working conditions is also considered by combining the interference patterns in historical frequency data. These historical frequency data can include electromagnetic interference characteristics under different loads, different environments, and different equipment operating conditions. According to these frequency data, the cutoff frequency of the filter can be dynamically optimized to ensure that the filter settings can always adapt to the current interference situation. Through the combination of historical frequency data, not only can real-time electromagnetic interference be dealt with, but also the filtering strategy can be adjusted according to long-term accumulated experience, thereby improving the filtering effect and signal quality. After adaptive filtering, the system will further analyze the current signal amplitude. If the current signal amplitude is below the preset threshold or no valid current waveform is detected, the current signal will be marked as a current signal abnormal event. The determination of a valid current waveform needs to meet three criteria: form feature, energy feature, and timing feature. The form feature determination condition is continuous waveform without interruption and no high-frequency burr, the energy feature determination condition is amplitude ≥ action threshold (such as breaking current > 2A, closing current > 3.5A) and current integral ≥ minimum energy, and the timing feature determination condition is that the rising / falling time meets the historical normal slope. This usually means that the signal quality is poor and valid current waveform cannot be normally detected due to interference, noise, or other reasons. Therefore, timely identification and recording of these abnormal events provide a basis for subsequent fault diagnosis and handling. The combination of adaptive filtering technology and historical interference patterns forms a closed-loop system that dynamically adjusts and optimizes, which can adapt to various electromagnetic interference environments in real time. During processing, the filter parameters can be adjusted according to the actual situation of the current signal and the interference intensity, thereby improving the accuracy of the current signal and avoiding errors caused by fixed filter settings

[0096] In the embodiments of the present application, the fault diagnosis method based on the multi-node check switch control loop further comprises: generating a fault code according to the fault type.

[0097] It should be noted that in the process of generating the fault code, a unique code is assigned to each fault type, and the code includes: fault type identification, priority level and associated signal characteristics; the code is mapped to a visual interface, and the alarm level is distinguished by color and the signal waveform comparison chart at the time of fault occurrence is displayed. In the embodiments, after fault determination, the code of the fault type is generated, and an alarm signal is triggered. These alarm signals will notify the operator in real time so as to take prompt measures to repair the fault. At the same time, the voltage waveform, current curve and switch state timing data at the time of fault occurrence are also stored, which provides an important basis for subsequent fault analysis, data verification and equipment maintenance.

[0098] In the embodiments of the present application, in the process of assigning a unique code to each fault type, the code includes:

[0099] Fault type identification: used to represent the category of the fault, such as voltage anomaly, short circuit, overload, etc. Each fault type will have a unique identifier.

[0100] Priority level: the severity of the fault is reflected by setting the priority level. For example, some faults may have a greater impact on the safety and stability of the power distribution network system and need to be set as high priority, while other faults may be only small faults of the device and set as low priority.

[0101] Associated signal characteristics: indicate the signal characteristics related to the fault type. For example, for voltage anomaly fault, the associated signal may be the voltage waveform characteristics; for switch state fault, the associated signal may be the operation timing of the switch.

[0102] It should be noted that through the allocation of this unique code, different fault types of faults can be accurately identified and distinguished, ensuring that when multiple faults occur, they can be effectively distinguished and classified. Once a unique code is generated for the fault type, the next step is to map these codes to the visualization interface of the terminal control unit. The visualization interface is the main platform for operators to interact with the power distribution system. In the visualization interface, different alarm levels are distinguished by color, making fault information more intuitive and easy to understand. For example, red represents high-priority faults (such as severe voltage abnormalities), yellow represents medium-priority faults (such as device overload), and green represents low-priority faults (such as minor system fluctuations). The use of color allows operators to quickly understand the severity of the fault. Further, by comparing the voltage and current waveforms at the time of the fault with normal waveforms, the changes at the time of the fault can be visually displayed. This graphical representation helps operators quickly identify the problem and take appropriate remedial measures.

[0103] In the embodiments of the present application, the fault diagnosis method based on the multi-node check switch control loop further comprises:

[0104] The fault code and the stored correlation analysis data are uploaded to the terminal control unit in real time through the communication interface;

[0105] The terminal control unit matches the processing scheme from the pre-set operation and maintenance knowledge base according to the fault code, and the processing scheme includes fault positioning guidance, operation steps, and a list of required tools.

[0106] It should be noted that the operation and maintenance knowledge base is a large database containing information such as fault types, fault handling steps, positioning guidelines, and common tools, aiming to provide detailed handling guidance for operators. The construction process of the operation and maintenance knowledge base includes: collecting historical fault handling records, extracting key operation steps, repair success rate and time consumption data; through expert experience, the operation steps are standardized and classified, forming a processing flow library corresponding to the fault type one by one, and regularly updating the flow library content according to new fault cases. Through the communication interface (such as wireless network, local area network or other communication protocols), the collected voltage, current, switch state and other data as well as fault codes are uploaded to the terminal control unit, and the preliminary type of the fault (such as poor contact, line aging, etc.) is indicated. After receiving the fault data, the terminal control unit retrieves the corresponding processing scheme from the preset operation and maintenance knowledge base according to the fault code. The operator is guided to locate the problem source through specific steps according to the equipment state and fault type. For example, if it is a poor contact, the guide will include how to check the contact point, how to clean or replace the components, etc. Detailed description of the specific operation process that the operator needs to take. For example, power-off steps, line inspection, switch operation steps, etc., to ensure safety and efficiency. Provide a list of tools needed to perform the processing, ensuring that the operator has the necessary equipment. For example, a voltmeter, a clamp-on ammeter, a screwdriver, insulated gloves, etc.

[0107] In the embodiments of the present application, the terminal control unit can communicate remotely with the mobile terminal of the technical support team as needed. If the operator encounters difficulties or cannot solve the problem during the execution steps, remote technical support can be requested directly, and the technician can further guide the operator through real-time data. Through real-time uploading of fault codes and data to the terminal control unit and combining with the detailed processing scheme provided by the operation and maintenance knowledge base, the remote diagnosis function effectively improves the response speed and processing efficiency of power equipment faults. This process standardizes the fault handling process, reduces the operation risk, and provides strong support for equipment maintenance, improving the stability and reliability of the system.

[0108] In one possible implementation, first, historical fault handling records are collected through monitoring equipment, including fault occurrence time, fault type, operation steps, repair success rate and time consumption data. These data come from the actual operation of the equipment and the maintenance process, covering various cases from common problems to complex faults. The collected fault handling records will be stored in the database to ensure the accuracy and integrity of the data and can be retrieved at any time during subsequent processing. The operation steps, repair time and success rate involved in the fault handling records will be used as basic data for subsequent analysis and standardization.

[0109] It is necessary to explain that the collected historical fault handling records are analyzed, and the key operation steps, repair success rate and required time of each fault type are extracted. Through statistical analysis, the effectiveness and time consumption of each operation step are identified to help determine the best fault handling method. Combined with the repair success rate and time consumption in the data, each operation step is optimized to develop a more efficient and operable handling process. Through the analysis of historical data, it can be concluded which steps are the most effective in different types of faults, and the best practices are provided to the operators. Through the participation of expert team, the operation steps extracted from historical fault records are standardized. Technical personnel will classify and standardize the operation steps of different fault types according to actual experience and the complexity of fault handling, to ensure that each fault type can match an efficient solution. Each fault type will correspond to a set of standardized handling process, including fault diagnosis, problem positioning, required tools and operation steps, etc. Through the participation and judgment of technical personnel, it is ensured that these operation steps have wide applicability and reliability, and can cope with fault conditions under different equipment and operating environment. The standardized operation steps and handling scheme of each fault type are correspondingly coded into the handling process library according to the fault type. The handling process library is a systematic database containing fault types, operation steps, tool list, repair success rate and time consumption, etc. The handling process library will be updated regularly according to new fault cases. Whenever a new fault type or existing fault type handling method needs to be optimized, the operation and maintenance technical personnel will supplement new fault handling scheme in time and include it into the process library, to ensure that its content always remains updated and perfect. With the increasing operation and fault cases of power equipment in distribution network, the operation and maintenance knowledge base needs to be updated regularly. Whenever a new fault or technical progress occurs, the process library will be adjusted and optimized according to new cases and feedback information. Regularly updating the content of the process library helps to maintain the timeliness and practicality of the knowledge base.

[0110] In the embodiments of the present application, the fault diagnosis method based on the multi-node check switch control loop further includes dynamically modifying the logic rules, and the content of the dynamic modification includes:

[0111] A historical fault case library is established to record the voltage waveform, current curve and switch state time sequence data of each fault;

[0112] Typical fault scenarios in the historical fault case library are analyzed by a machine learning algorithm to optimize the decision condition threshold and time sequence tolerance in the logic rules;

[0113] If the matching degree of the newly occurring fault data and the historical fault cases is lower than a preset threshold, manual review is triggered and the logic rule library is updated.

[0114] It should be noted that during the dynamic modification of logic rules, a historical fault case database is first established to store relevant data from each fault occurrence, including voltage waveforms, current curves, and switch state timing data. This data reflects system behavior under different fault scenarios, forming typical fault patterns and characteristics. With this long-term accumulation of fault data, the historical fault case database provides an important reference for subsequent fault analysis and logic rule optimization. Machine learning algorithms (well-established in the field, such as support vector machines (SVMs), K-nearest neighbor (KNN), naive Bayesian algorithms, and random forest algorithms) are used to analyze the fault data in the historical fault case database. The core of this analysis process is to extract characteristic patterns from historical fault cases and build a model to identify different fault types. The machine learning model performs pattern recognition on voltage waveforms, current curves, and switch state timing data to optimize the judgment thresholds and timing tolerances in the logic rules. The machine learning algorithm can automatically adjust the judgment criteria based on a large amount of historical fault data, making the logic rules more accurate and robust when dealing with new faults. When a new fault occurs, the optimized logic rules are matched against the patterns in the historical fault case database. If the degree of match between new fault data and typical fault patterns in the historical fault case library falls below a preset threshold, a manual review mechanism is triggered. This mechanism is designed to ensure that when faced with unknown or complex faults, automated judgments are not blindly relied upon, but rather further analysis is performed through manual review, thereby avoiding the risk of misjudgment or missed judgments. After manual review and confirmation, if the new fault data is considered a new fault type or existing rules require adjustment, the logical rule library will be updated based on the fault data; in this way, the logical rules will be continuously optimized and updated over time, enabling them to adapt to new fault patterns and environmental changes, further improving the accuracy and efficiency of fault diagnosis.

[0115] Example 2:

[0116] Figure 2 This is a schematic diagram of the framework of the fault diagnosis device based on the multi-node inspection switch control loop described in an embodiment of the present application.

[0117] like Figure 2 As shown, the embodiment of the present application provides a fault diagnosis device based on a multi-node inspection switch control loop, including a signal acquisition module 10, a timing alignment module 20 and a fault judgment module 30;

[0118] The signal acquisition module 10 is used to obtain in real time the switch status signal of the switch device in the distribution network and the voltage pulse signal and current signal of the switch control circuit when the switch device performs an action;

[0119] The timing alignment module 20 is configured to perform timestamp alignment processing on the switch state signal, the voltage pulse signal and the current signal to obtain correlation analysis data.

[0120] The fault judgment module 30 is configured to perform fault judgment on the correlation analysis data according to a logical rule to obtain a fault type.

[0121] It should be noted that the content of the modules in the device of the second embodiment has been described in the content of the steps of the method of the first embodiment, and the content of the modules of the device for diagnosing faults of the switch control loop based on multiple nodes will not be repeated in this embodiment. In this embodiment, the device for diagnosing faults of the switch control loop based on multiple nodes performs time alignment processing on the data obtained by the signal acquisition module, the timing alignment module and the fault judgment module to obtain correlation analysis data, and then analyzes the correlation analysis data by multiple logical rules, which can efficiently analyze different fault types and help to improve the accuracy and response speed of fault detection.

[0122] In the embodiments of the present application, the device for diagnosing faults of the switch control loop based on multiple nodes further comprises an alarm and storage module 40, which is configured to form corresponding switch state timing data, voltage waveforms and current curves according to the obtained time for all switch state signals, voltage pulse signals and current signals; and perform data storage on the fault type, the switch state timing data, the voltage waveforms and the current curves.

[0123] In the embodiments of the present application, the logical rule comprises:

[0124] In the same timestamp, if the correlation analysis data contains the voltage pulse signal and the current signal, and does not contain the switch state signal, the fault type is a structural fault of the switch device.

[0125] In the same timestamp, if the correlation analysis data contains the voltage pulse signal, and does not contain the current signal and the switch state signal, the fault type is a disconnection fault of the switch control loop when the switch device performs an action.

[0126] In the same timestamp, if the correlation analysis data does not contain the voltage pulse signal, the current signal and the switch state signal, the fault type is an outlet fault of the device corresponding to the switch state signal.

[0127] In the same timestamp, if the correlation analysis data contains the switch state signal, and does not contain the current signal and the voltage pulse signal, the fault type is a false trigger fault of the switch device.

[0128] If the switch state signal, the current signal and the voltage pulse signal exist in the correlation analysis data at the same timestamp, and the switch device does not receive the control instruction at this time, the fault type is a short circuit fault of the switch control loop when the switch device performs the action.

[0129] In the embodiment of the present application, the fault diagnosis device for checking the switch control loop based on multiple nodes further comprises a signal processing module 50, a terminal control unit 60 and a remote interaction module 70.

[0130] It should be noted that the signal output ends of the voltage acquisition unit and the current acquisition unit of the signal acquisition module 10 are connected to the analog-digital conversion unit and the adaptive filtering unit of the signal processing module 50 respectively; the output end of the signal processing module 50 is connected to the hardware clock synchronization unit of the time sequence alignment module 20; the output end of the time sequence alignment module 20 is connected to the correlation analysis unit of the fault determination module 30; the output end of the fault determination module 30 is connected to the alarm unit and the data storage unit of the alarm and storage module 40; the alarm and storage module 40 communicates with the terminal control unit 60 through the communication interface unit of the remote interaction module.

[0131] In the embodiment of the present application, the signal acquisition module 10 comprises a voltage acquisition unit and a current acquisition unit, the voltage acquisition unit is used to acquire the voltage pulse signal of the opening control instruction or the closing control instruction in the switch control loop in real time through the voltage sensor; the current acquisition unit is used to acquire the current signal in the opening or closing process in real time through the Hall current sensor.

[0132] It should be noted that the output ends of the voltage acquisition unit and the current acquisition unit are connected to the signal processing module 50.

[0133] In the embodiment of the present application, the signal processing module 50 comprises:

[0134] an analog-digital conversion unit, used to convert the analog voltage signal output by the voltage acquisition unit into a digital signal;

[0135] an adaptive filtering unit, used to perform noise suppression processing on the current signal output by the current acquisition unit;

[0136] The output ends of the analog-digital conversion unit and the adaptive filtering unit are connected to the time sequence alignment module 20.

[0137] In the embodiment of the present application, the time sequence alignment module 20 comprises:

[0138] a switch quantity acquisition unit, used to acquire the switch state signal such as the opening state signal or the closing state signal fed back by the switch in real time;

[0139] A hardware clock synchronization unit is configured to time-stamp align the switch state signal with the voltage pulse signal and the current signal output by the signal processing module 50.

[0140] The output end of the hardware clock synchronization unit is connected to the fault determination module 30.

[0141] In the embodiment of the present application, the fault determination module 30 comprises:

[0142] A logic rule base is configured to store determination rules based on historical fault cases.

[0143] An association analysis unit is configured to determine the fault type according to the synchronization signal output by the time sequence alignment module 20 in combination with the logic rules in the logic rule base.

[0144] The output end of the association analysis unit is connected to the alarm and storage module 40.

[0145] In the embodiment of the present application, the alarm and storage module 40 comprises:

[0146] An alarm unit is configured to trigger the corresponding indicator light and alarm signal according to the fault code output by the fault determination module 30.

[0147] A data storage unit is configured to store the voltage waveform, current curve and switch state time sequence data at the time of fault occurrence.

[0148] The alarm unit and the data storage unit are connected to the terminal control unit 60 through a communication interface.

[0149] In the embodiment of the present application, the remote interaction module 70 comprises:

[0150] A communication interface unit is configured to upload the fault code generated by the alarm unit and the fault data in the data storage unit to the terminal control unit.

[0151] The communication interface unit and the terminal control unit exchange data through wired or wireless protocols.

[0152] In the embodiment of the present application, the fault diagnosis device based on the multi-node inspection switch control loop can quickly identify and accurately locate the fault type through the synchronous collection and analysis of multi-node signals in combination with the association analysis of logic rules, thereby reducing the time and manual intervention for troubleshooting. Timely fault alarm and rapid response can effectively reduce the equipment downtime and improve the overall operation efficiency of the equipment. Storing the voltage pulse signal, current signal and switch state data at the time of fault can not only help immediate fault handling, but also provide valuable data support for long-term maintenance and fault mode analysis of the equipment.

[0153] Embodiment three:

[0154] Figure 3 This is a schematic diagram of the terminal device described in an embodiment of the present application.

[0155] like Figure 3 As shown, an embodiment of the present application provides a terminal device, including a processor and a memory;

[0156] A memory, configured to store program codes and transmit the program codes to a processor;

[0157] The processor is configured to execute the above-mentioned fault diagnosis method based on multi-node inspection switch control loop according to instructions in the program code.

[0158] It should be noted that the processor is configured to execute the steps of the aforementioned embodiment of a fault diagnosis method based on a multi-node inspection switch control loop according to instructions in the program code. Alternatively, the processor implements the functions of each module / unit in the aforementioned system / device embodiments when executing the computer program.

[0159] For example, a computer program may be divided into one or more modules / units, one or more of which are stored in a memory and executed by a processor to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0160] Terminal devices can be computing devices such as desktop computers, laptops, PDAs, and cloud servers. Terminal devices may include, but are not limited to, processors and memory. Those skilled in the art will appreciate that this does not constitute a limitation on terminal devices and may include more or fewer components than shown, or a combination of certain components, or different components. For example, terminal devices may also include input / output devices, network access devices, buses, and the like.

[0161] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0162] The memory can be an internal storage unit of the terminal device, such as a hard disk or a memory of the terminal device. The memory can also be an external storage device of the terminal device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like. Further, the memory can include both the internal storage unit and the external storage device of the terminal device. The memory is used to store a computer program and other programs and data required by the terminal device. The memory can also be used to temporarily store data that has been output or will be output.

[0163] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0164] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0165] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0166] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0167] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0168] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A fault diagnosis method based on multi-node inspection switch control loop, characterized in that: The following steps are involved: Real-time acquisition of the switch status signals of the switch devices in the distribution network and the voltage pulse signals and current signals of the switch control circuit when the switch devices perform actions; Performing time stamp alignment processing on the switch state signal, the voltage pulse signal, and the current signal to obtain correlation analysis data; According to the correlation analysis data, a fault judgment is performed using logical rules to obtain the fault type.

2. The fault diagnosis method based on multi-node inspection switch control loop according to claim 1, characterized in that: The logic rules include: At the same timestamp, if the voltage pulse signal and the current signal exist in the correlation analysis data, but the switch state signal does not exist, then the fault type is a structural fault of the switch device; At the same timestamp, if the voltage pulse signal exists in the correlation analysis data, but the current signal and the switch state signal do not exist, then the fault type is a disconnection fault of the switch control circuit when the switching device performs an action; At the same timestamp, if the voltage pulse signal, the current signal, and the switch status signal do not exist in the correlation analysis data, then the fault type is an outlet fault of the device corresponding to the switch status signal: At the same timestamp, if the switch state signal exists in the correlation analysis data, but the current signal and the voltage pulse signal do not exist, then the fault type is a switching device mis-triggering fault; At the same timestamp, if the switch state signal, the current signal and the voltage pulse signal exist in the associated analysis data, and the switching device does not receive a control instruction at this time, then the fault type is a short circuit fault of the switch control loop when the switching device performs an action.

3. The fault diagnosis method based on multi-node inspection switch control loop according to claim 1, characterized in that: Performing timestamp alignment processing on the switch state signal, the voltage pulse signal, and the current signal to obtain correlation analysis data includes: obtaining a timestamp error, and aligning the switch state signal, the voltage pulse signal, and the current signal using clock synchronization technology according to the timestamp error to obtain correlation analysis data.

4. The fault diagnosis method based on multi-node inspection switch control loop according to claim 3 is characterized in that: The timestamp error information includes: After injecting each test signal into the switch control loop, obtaining a transmission delay time of each test signal from sending to receiving; Filtering out the transmission delay time with the largest value from all the transmission delay times as the upper limit of the timestamp error; Wherein, the timestamp error = [0, upper limit value].

5. The fault diagnosis method based on multi-node inspection switch control loop according to any one of claims 1 to 4, characterized in that: Also includes: Constructing corresponding switch state timing data, voltage waveforms and current curves for all the switch state signals, the voltage pulse signals and the current signals according to the acquisition time; Data storage is performed on the fault type, the switch state timing data, the voltage waveform, and the current curve.

6. The fault diagnosis method based on multi-node inspection switch control loop according to claim 5, characterized in that: Also includes: Extracting harmonic components from the voltage waveform, and if the harmonic components exceed a set harmonic normal range, determining that the fault type is poor contact of the switching device or aging of the line; The opening current rise rate during the opening process or the current fall rate during the closing process is obtained from the current curve. If the current rise rate and / or the current fall rate are lower than the corresponding set normal value, it is determined that the fault type is a jam of the operating mechanism of the switching device or an increase in mechanical resistance.

7. A fault diagnosis device based on a multi-node inspection switch control loop, characterized in that: include: Signal acquisition module, timing alignment module and fault judgment module; The signal acquisition module is used to obtain in real time the switch status signal of the switch device in the distribution network and the voltage pulse signal and current signal of the switch control circuit when the switch device performs an action; The timing alignment module is used to perform timestamp alignment processing on the switch state signal, the voltage pulse signal and the current signal to obtain correlation analysis data; The fault judgment module is used to perform fault judgment based on the association analysis data using logic rules to obtain the fault type.

8. The fault diagnosis device based on multi-node inspection switch control loop according to claim 7, characterized in that: Also includes: An alarm and storage module is used to construct corresponding switch state timing data, voltage waveform and current curve for all the switch state signals, the voltage pulse signals and the current signals according to the acquisition time; and to store data of the fault type, the switch state timing data, the voltage waveform and the current curve.

9. The fault diagnosis device based on multi-node inspection switch control loop according to claim 7, characterized in that: The logic rules include: At the same timestamp, if the voltage pulse signal and the current signal exist in the correlation analysis data, but the switch state signal does not exist, then the fault type is a structural fault of the switch device; At the same timestamp, if the voltage pulse signal exists in the correlation analysis data, but the current signal and the switch state signal do not exist, then the fault type is a disconnection fault of the switch control circuit when the switching device performs an action; At the same timestamp, if the voltage pulse signal, the current signal, and the switch status signal do not exist in the correlation analysis data, then the fault type is an outlet fault of the device corresponding to the switch status signal: At the same timestamp, if the switch state signal exists in the correlation analysis data, but the current signal and the voltage pulse signal do not exist, then the fault type is a switching device mis-triggering fault; At the same timestamp, if the switch state signal, the current signal and the voltage pulse signal exist in the associated analysis data, and the switching device does not receive a control instruction at this time, then the fault type is a short circuit fault of the switch control loop when the switching device performs an action.

10. A terminal device, characterized in that: including a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is configured to execute the fault diagnosis method based on multi-node inspection of a switch control loop according to any one of claims 1 to 6 according to the instructions in the program code.

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