Circuit fault detection method and device, electronic equipment, storage medium and program product

Abstract

The invention provides a circuit fault detection method and device, electronic equipment, a storage medium and a program product. Comprising the steps of performing waveform detection on a to-be-detected waveform of a to-be-detected circuit to obtain a waveform detection result; determining at least one target fault detection mode corresponding to the to-be-detected circuit from a plurality of preset fault detection modes based on the waveform detection result; performing fault detection on the to-be-detected circuit according to each target fault detection mode to obtain a fault detection result corresponding to each target fault detection mode; and determining a target fault detection result of the to-be-detected circuit based on each fault detection result. According to the invention, the accuracy of fault diagnosis of the circuit can be effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of fault detection, and in particular to a circuit fault detection method, device, electronic device, storage medium and program product. Background Art

[0002] Single-phase grounding fault diagnosis refers to the process of identifying the location and type of fault by diagnostic means when a fault occurs between a phase and the ground (grounding body) in the power system (i.e. single-phase grounding). This fault is usually caused by insulation aging, mechanical damage, lightning strike, etc. A single-phase grounding fault refers to a short circuit between a phase (usually the phase line) and the earth in the power system. Since the impedance between the faulty phase and the ground is much smaller than the impedance between the other two phases, the current (grounding current) of the faulty phase will increase significantly. Single-phase grounding faults may cause overvoltage, damage system equipment, and reduce the insulation level of the system.

[0003] In the related art, for single-phase node faults, fault diagnosis is usually performed through a single fault diagnosis method. Since the single fault diagnosis method may have misdetection of the fault, the accuracy of circuit fault detection is poor. Summary of the invention

[0004] The embodiments of the present application provide a circuit fault detection method, device, electronic device, storage medium and program product, which can effectively improve the accuracy of circuit fault diagnosis.

[0005] The technical solution of the embodiment of the present application is implemented as follows:

[0006] The present application provides a circuit fault detection method, including:

[0007] Performing waveform detection on the waveform to be detected of the circuit to be detected to obtain a waveform detection result;

[0008] Based on the waveform detection result, determining at least one target fault detection mode corresponding to the circuit to be detected from a plurality of preset fault detection modes;

[0009] According to each of the target fault detection modes, fault detection is performed on the circuit to be detected to obtain a fault detection result corresponding to each of the target fault detection modes;

[0010] Based on each of the fault detection results, a target fault detection result of the circuit to be detected is determined, and the target fault detection result is used to indicate whether there is a fault in the circuit to be detected and the fault location of the fault in the circuit to be detected when the fault exists.

[0011] The present application provides a circuit fault detection device, comprising:

[0012] A waveform detection module is used to perform waveform detection on the waveform to be detected of the circuit to be detected to obtain a waveform detection result;

[0013] A method determination module, used to determine at least one target fault detection method corresponding to the circuit to be detected from a plurality of preset fault detection methods based on the waveform detection result;

[0014] A fault detection module, used to perform fault detection on the circuit to be detected according to each of the target fault detection modes, and obtain a fault detection result corresponding to each of the target fault detection modes;

[0015] The result determination module is used to determine the target fault detection result of the circuit to be detected based on each of the fault detection results, and the target fault detection result is used to indicate whether there is a fault in the circuit to be detected and the fault location of the fault in the circuit to be detected when the fault exists.

[0016] The embodiments of the present application have the following beneficial effects:

[0017] By performing waveform detection on the waveform to be detected of the circuit to be detected, a waveform detection result is obtained. Based on the waveform detection result, at least one target fault detection method corresponding to the circuit to be detected is determined from a plurality of preset fault detection methods. According to each target fault detection method, fault detection is performed on the circuit to be detected to obtain the fault detection result corresponding to each target fault detection method. Based on each fault detection result, a target fault detection result of the circuit to be detected is determined. The target fault detection result is used to indicate whether there is a fault in the circuit to be detected and the fault position of the fault in the circuit to be detected when there is a fault. In this way, by determining at least one target fault detection method corresponding to the circuit to be detected from a plurality of preset fault detection methods based on the waveform detection result, according to each target fault detection method, fault detection is performed on the circuit to be detected to obtain the fault detection result corresponding to each target fault detection method. Based on each fault detection result, a target fault detection result of the circuit to be detected is determined, thereby performing fault detection based on the waveform detection result in combination with a plurality of preset detection methods. The target fault detection result of the circuit to be detected is determined by comprehensively analyzing each fault detection result, thereby effectively improving the accuracy of circuit fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic diagram of the architecture of a circuit fault detection system provided in an embodiment of the present application;

[0019] Figure 2 is a schematic diagram of the structure of an electronic device for detecting circuit faults provided in an embodiment of the present application;

[0020] Figure 3It is a flow chart of a circuit fault detection method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0023] In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0024] Unless otherwise defined, all technical and scientific terms used in the embodiments of the present application have the same meanings as those commonly understood by those skilled in the art. The terms used in the embodiments of the present application are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0025] The embodiments of the present application provide a circuit fault detection method, device, electronic device, computer-readable storage medium and computer program product, which can effectively save the circuit fault detection cost. The following describes an exemplary application of the circuit fault detection system provided by the embodiments of the present application.

[0026] See also Figure 1 , Figure 1 It is a schematic diagram of the architecture of the circuit fault detection system 100 provided in an embodiment of the present application. The terminal (terminal 400 is shown as an example) is connected to the server 200 via the network 300. The network 300 can be a wide area network or a local area network, or a combination of the two.

[0027] The terminal 400 is used for the user to use the client 410 to display a virtual scene on a graphical interface 410-1 (graphic interface 410-1 is shown as an example). The terminal 400 and the server 200 are connected to each other via a wired or wireless network.

[0028] In some embodiments, the server 200 may be an independent physical server, or a server cluster or business system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms. The terminal 400 may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart TV, a smart watch, a car terminal, etc., but is not limited thereto. The electronic device provided in the embodiment of the present application may be implemented as a terminal or as a server. The terminal and the server may be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application.

[0029] See also Figure 2 , Figure 2 is a schematic diagram of the structure of an electronic device 500 for detecting circuit faults provided in an embodiment of the present application, wherein: Figure 2 The electronic device 500 shown may be Figure 1 The server 200 or the terminal 400 in Figure 2 The electronic device 500 shown includes: at least one processor 430, a memory 450, and at least one network interface 420. The various components in the electronic device 500 are coupled together via a bus system 440. It is understood that the bus system 440 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 440 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, the bus system 440 is not described in detail. Figure 2 Various buses are labeled as bus system 440 .

[0030] The processor 430 can be an integrated circuit chip with signal processing capabilities, such as a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., where the general-purpose processor can be a microprocessor or any conventional processor, etc.

[0031] The memory 450 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid-state memory, hard drives, optical drives, etc. The memory 450 may optionally include one or more storage devices that are physically remote from the processor 430.

[0032] The memory 450 includes a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), and the volatile memory may be a random access memory (RAM). The memory 450 described in the embodiments of the present application is intended to include any suitable type of memory.

[0033] In some embodiments, memory 450 can store data to support various operations, examples of which include programs, modules, and data structures, or a subset or superset thereof, as exemplarily described below.

[0034] Operating system 451, including system programs for processing various basic system services and performing hardware-related tasks, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks;

[0035] The network communication module 452 is used to reach other electronic devices via one or more (wired or wireless) network interfaces 420. Exemplary network interfaces 420 include: Bluetooth, Wireless Fidelity (WiFi), and Universal Serial Bus (USB).

[0036] In some embodiments, the circuit fault detection device provided in the embodiments of the present application can be implemented in a software manner. Figure 2 A fault detection device 455 of a circuit stored in a memory 450 is shown, which may be software in the form of a program or a plug-in, including the following software modules: a waveform detection module 4551, a mode determination module 4552, a fault detection module 4553, and a result determination module 4554. These modules are logical, and therefore can be arbitrarily combined or further split according to the functions implemented. The functions of each module will be described below.

[0037] In other embodiments, the fault detection device of the circuit provided in the embodiment of the present application can be implemented in hardware. As an example, the fault detection device of the circuit provided in the embodiment of the present application can be a processor in the form of a hardware decoding processor, which is programmed to execute the fault detection method of the circuit provided in the embodiment of the present application. For example, the processor in the form of a hardware decoding processor can adopt one or more application-specific integrated circuits (ASIC, Application Specific Integrated Ci rcuit), DSP, programmable logic device (PLD, Programmable Logic Device), complex programmable logic device (CPLD, Complex Programmable Logic Device), field programmable gate array (FPGA, Field-Progra mmable Gate Array) or other electronic components.

[0038] In some embodiments, the terminal or server can implement the fault detection method of the circuit provided in the embodiment of the present application by running a computer program or a computer executable instruction. For example, the computer program can be a native program (e.g., a dedicated detection program) or a software module in the operating system, for example, an update module that can be embedded in any program (such as an instant messaging client, an album program, an electronic map client, a navigation client); for example, it can be a local (Native) application (APP, Application), that is, a program that needs to be installed in the operating system to run. In short, the above-mentioned computer program can be an application, module or plug-in in any form.

[0039] The circuit fault detection method provided in the embodiment of the present application will be described in combination with the exemplary application and implementation of the server or terminal provided in the embodiment of the present application.

[0040] See also Figure 3 , Figure 3 is a flow chart of a circuit fault detection method provided in an embodiment of the present application, which will be combined with Figure 3 Steps 101 to 104 are shown for illustration. The circuit fault detection method provided in the embodiment of the present application can be implemented by a server or a terminal alone, or by a server and a terminal in collaboration. The following will be described using the server alone as an example.

[0041] In step 101, waveform detection is performed on a waveform to be detected of a circuit to be detected to obtain a waveform detection result.

[0042] In some embodiments, the waveform to be detected includes a voltage waveform to be detected and a current waveform to be detected, and the waveform detection result includes a zero-sequence current detection result, a zero-sequence voltage detection result, and a voltage zero-crossing detection result.

[0043] In some embodiments, the zero-sequence voltage detection result is used to indicate whether there is a zero-sequence voltage in the voltage waveform to be detected. The zero-sequence current detection result is used to indicate whether there is a zero-sequence current in the current waveform to be detected. The voltage zero-crossing detection result is used to indicate whether the voltage waveform to be detected crosses a zero point.

[0044] In some embodiments, the above-mentioned waveform detection of the waveform to be detected of the circuit to be detected to obtain the waveform detection result can be achieved in the following ways: performing waveform detection on the voltage waveform to be detected of the circuit to be detected to obtain the zero-sequence voltage detection result; performing waveform detection on the current waveform to be detected of the circuit to be detected to obtain the zero-sequence current detection result; performing zero-crossing detection on the voltage waveform to be detected of the circuit to be detected to obtain the voltage zero-crossing detection result.

[0045] In some embodiments, waveform detection of a voltage waveform to be detected in a circuit to be detected is real-time monitoring and analysis of a specific voltage waveform in the circuit. Waveform detection generally involves analyzing a graph of voltage changes over time to determine its characteristics and properties.

[0046] In some embodiments, the zero-sequence voltage refers to the voltage component whose phase sum of the three-phase voltage is zero. In circuit detection, the voltage waveform is processed by a special detection device or algorithm to obtain a zero-sequence voltage detection result. This result is used to indicate whether there is a zero-sequence voltage component in the voltage waveform to be detected.

[0047] In some embodiments, waveform detection is performed on the current waveform to be detected of the circuit to be detected, similar to the detection of the voltage waveform, where the current waveform in the circuit is monitored and analyzed.

[0048] In some embodiments, the zero-sequence current refers to the current component whose phase sum of the three-phase current is zero. By detecting the current waveform, it can be analyzed whether there is a zero-sequence current component. The zero-sequence current detection result is used to indicate whether there is a zero-sequence current in the current waveform to be detected.

[0049] In some embodiments, a zero-crossing detection is performed on the voltage waveform to be detected of the circuit to be detected. The zero-crossing detection refers to detecting whether the voltage waveform passes through the zero point, that is, the moment when the positive voltage changes to the negative voltage or the negative voltage changes to the positive voltage. This detection is usually used to determine the frequency, phase and other characteristics of the voltage waveform. The voltage zero-crossing detection result is used to indicate whether the voltage waveform to be detected has a zero point. This is very important information for analyzing the working state and characteristics of the circuit.

[0050] In some embodiments, zero-sequence voltage refers to the voltage component that appears when the phase sum of the three-phase voltage is not zero in the power system. In an ideal three-phase system, since the three-phase voltage is symmetrical, its phase sum should be zero, and there is no zero-sequence voltage. However, in actual systems, zero-sequence voltage may appear due to line imbalance, load imbalance, fault or asymmetric grounding. The characteristic of zero-sequence voltage is that the three phases have the same phase and equal magnitude, which is usually manifested as a neutral point voltage offset in the system. The existence of zero-sequence voltage can reflect the unbalanced state or fault condition of the system, so it is very important in the monitoring and protection of the power system.

[0051] In some embodiments, zero-sequence current refers to the current component that appears when the phase sum of the three-phase current is not zero in the power system. In the ideal case where there is no fault and the load is balanced, the phase sum of the three-phase current is zero and the zero-sequence current does not exist. However, when there are problems such as ground faults, unbalanced loads, or line asymmetry in the system, zero-sequence current will be generated. Zero-sequence current usually flows through the neutral point or ground wire of the system. It is characterized by the same phase and equal magnitude between the three phases. The detection of zero-sequence current is crucial to discovering system ground faults, preventing equipment overload, and ensuring safe operation of the system. In relay protection, zero-sequence current is an important monitoring parameter.

[0052] In some embodiments, the above-mentioned waveform detection of the voltage waveform to be detected of the circuit to be detected to obtain the zero-sequence voltage detection result can be achieved in the following way: for each detection moment in the voltage waveform to be detected, if the average value of each phase voltage corresponding to the detection moment in the voltage waveform to be detected is not zero, then the detection moment is determined to be the first detection moment; if there is at least one of the first detection moments among the detection moments, then the zero-sequence voltage detection result is determined as the presence of the zero-sequence voltage in the voltage waveform to be detected; if the first detection moment does not exist among the detection moments, then the zero-sequence voltage detection result is determined as the absence of the zero-sequence voltage in the voltage waveform to be detected.

[0053] In some embodiments, the voltage waveform to be detected is divided into multiple detection moments, which can be continuous or carried out at certain time intervals. At each detection moment, the system records the instantaneous value of the three-phase voltage (phase A, phase B and phase C). If the calculated three-phase voltage average value is not equal to zero at a certain detection moment t, then this moment t is defined as the first detection moment. This means that at this moment, the sum of the three-phase voltage is not equal to zero, indicating that there is a zero-sequence voltage component in the system. If there is at least one first detection moment among all the detection moments, that is, the three-phase voltage average value at at least one moment is not zero, then it is determined that there is a zero-sequence voltage in the entire voltage waveform to be detected. On the contrary, if there is no first detection moment among all the detection moments, that is, the three-phase voltage average value at each moment is zero, then it is determined that there is no zero-sequence voltage in the entire voltage waveform to be detected.

[0054] As an example, multiple detection moments are set (for example, once per second), and at each detection moment, the voltages of the three phases (Phase A, Phase B, and Phase C) are sampled. At each detection moment, the arithmetic mean of the three phase voltages is calculated. For example, at time t1, there are: Phase A voltage: VA(t1); Phase B voltage: VB(t1); Phase C voltage: VC(t1). If at a certain detection moment (such as t1), the calculated average value Vavg(t1) is not equal to zero, then this moment is considered to be the first detection moment. This means that at this moment, the three-phase voltages are asymmetric and there is a zero-sequence voltage component. If there is at least one first detection moment among all the detection moments (that is, at least one moment Vavg is not equal to zero), then the zero-sequence voltage detection result is determined to be the presence of zero-sequence voltage. If there is no first detection moment among all the detection moments (that is, Vavg is equal to zero at each moment), then the zero-sequence voltage detection result is determined to be the absence of zero-sequence voltage.

[0055] Continuing with the above example, at time t1, the detected three-phase voltage average value Vavg(t1) = 10V (not zero), so t1 is the first detection moment. At time t2, the detected three-phase voltage average value Vavg(t2) = 0V (zero), so t2 is not the first detection moment. In subsequent detection moments, more first detection moments are found. Since there is at least one first detection moment, it can be determined that there is a zero-sequence voltage in the voltage waveform to be detected. If no first detection moment is found, it can be determined that there is no zero-sequence voltage. Such a detection method helps to monitor the balance state of the power system and promptly discover and deal with potential imbalance problems.

[0056] In this way, by analyzing each detection moment in the voltage waveform to be detected, the presence or absence of zero-sequence voltage can be effectively identified and determined. By determining the first detection moment, that is, the moment when the average value of each phase voltage is not zero, the voltage asymmetry in the power system can be discovered in time, thereby improving the monitoring capability of the system imbalance. The beneficial effect of this detection technology is that it can not only accurately determine whether there is zero-sequence voltage in the system, but also help prevent equipment failure and power loss caused by voltage imbalance, thereby ensuring the stable operation of the power system and the safe use of equipment.

[0057] In some embodiments, the above-mentioned waveform detection of the current waveform to be detected of the circuit to be detected to obtain the zero-sequence current detection result can be achieved in the following way: for each detection moment in the current waveform to be detected, if the average value of each phase current corresponding to the detection moment in the current waveform to be detected is not zero, then the detection moment is determined to be the second detection moment; if there is at least one of the second detection moments in the detection moments, then the zero-sequence current detection result is determined as the presence of the zero-sequence current in the current waveform to be detected; if the second detection moment does not exist in the detection moments, then the zero-sequence current detection result is determined as the absence of the zero-sequence current in the current waveform to be detected.

[0058] In some embodiments, similar to the detection of the voltage waveform, the detection of the current waveform is also performed based on multiple detection moments. These moments can be regular sampling points for recording and analyzing the instantaneous values ​​of the three-phase current (phase A, phase B, and phase C). If there is at least one second detection moment among all the detection moments, that is, the average value of the three-phase current at at least one moment is not zero, then it is determined that there is a zero-sequence current in the entire current waveform to be detected. Conversely, if there is no second detection moment among all the detection moments, that is, the average value of the three-phase current at each moment is zero, then it is determined that there is no zero-sequence current in the entire current waveform to be detected.

[0059] As an example, assume that the current value is set to be detected once per second, so there is a time series of detection moments: t1, t2, t3, ..., tN. For each detection moment, the average value of the three-phase current is calculated. At moment t1, the current average value is 5A, which is not zero, but further information is needed to determine whether it is the second detection moment. At moment t2, the current average value is 4.67A, which is not zero, and this is a second detection moment. At moment t3, the current average value is 4.33A, which is not zero, and this is also a second detection moment. Since there is a second detection moment in detection moments t2 and t3 (the current average value is not zero), it can be determined that there is a zero-sequence current in the current waveform to be detected. If the current average values ​​at all detection moments are zero, it will be determined that there is no zero-sequence current in the current waveform to be detected.

[0060] In this way, the zero-sequence current phenomenon in the power system can be effectively monitored and identified. By setting the concept of the second detection moment, that is, the moment when the current average value is not zero in the detection moment, the moment of current imbalance can be accurately captured, thereby improving the sensitivity and response speed to the abnormal state of the system. It can timely detect and warn of problems such as ground faults or load imbalance in the system to prevent the expansion of faults and equipment damage; it helps system operators to quickly locate and handle faults, reducing maintenance costs and time; it helps to improve the stability and reliability of the power system, ensure the continuity and safety of power supply, and is of great significance to maintaining the normal operation of the power grid and the quality of power consumption of users.

[0061] In step 102, based on the waveform detection result, at least one target fault detection method corresponding to the circuit to be detected is determined from a plurality of preset fault detection methods.

[0062] In some embodiments, the waveform to be detected includes a voltage waveform to be detected and a current waveform to be detected, and the waveform detection result includes a zero-sequence current detection result, a zero-sequence voltage detection result, and a voltage zero-crossing detection result.

[0063] In some embodiments, the fault in the embodiments of the present application may be a single-phase grounding fault. Fault diagnosis refers to the process of identifying the location and type of the fault by diagnostic means when a fault (i.e., single-phase grounding) occurs between a phase and the ground (grounding body) in the power system. This fault is usually caused by insulation aging, mechanical damage, lightning strike, and the like. A single-phase grounding fault refers to a short circuit between a phase (usually a phase line) and the earth in a power system. Since the impedance between the faulty phase and the ground is much smaller than the impedance between the other two phases, the current (grounding current) of the faulty phase will increase significantly. A single-phase grounding fault may cause overvoltage, damage system equipment, reduce the insulation level of the system, and even cause serious accidents such as fire.

[0064] In some embodiments, the above step 102 can be implemented as follows: if the zero-sequence voltage detection result indicates that there is a zero-sequence voltage in the voltage waveform to be detected, then based on the zero-sequence current detection result and the voltage zero-crossing detection result, determine at least one of the target fault detection methods corresponding to the circuit to be detected from the multiple preset fault detection methods.

[0065] In some embodiments, when the zero-sequence voltage detection result indicates that the zero-sequence voltage exists in the voltage waveform to be detected, it is still impossible to accurately determine whether there is a fault in the circuit to be detected, that is, there may or may not be a fault in the circuit to be detected at this time. In this case, based on the zero-sequence current detection result and the voltage zero-crossing detection result, at least one of the target fault detection methods corresponding to the circuit to be detected can be determined from the multiple preset fault detection methods.

[0066] In some embodiments, when a zero-sequence voltage is detected, it indicates that there may be a ground fault, load imbalance, or other conditions that cause voltage asymmetry in the circuit. At this time, the zero-sequence current detection results and the voltage zero-crossing detection results are further analyzed. Zero-sequence current detection can help identify the location and nature of the ground fault, while voltage zero-crossing detection can provide additional information about whether the voltage waveform is normal. Based on these detection results, at least one target fault detection method that matches the detected fault characteristics is selected from a plurality of preset fault detection methods. These detection methods may be specifically designed for ground faults, load imbalances, or other specific types of faults. If the zero-sequence voltage is not detected, this usually means that there is no ground fault in the circuit and the voltage is symmetrical, that is, the three-phase voltages are equal and the phases are the same. In this case, it is considered that there is no fault in the circuit to be detected, because the absence of zero-sequence voltage is usually associated with the normal working state of the circuit.

[0067] In some embodiments, after the waveform detection is performed on the waveform to be detected of the circuit to be detected and the waveform detection result is obtained, the determination of the target fault detection result can be achieved in the following way: if the zero-sequence voltage detection result indicates that the zero-sequence voltage does not exist in the voltage waveform to be detected, then the target fault detection result of the circuit to be detected is determined as the absence of a fault in the circuit to be detected.

[0068] In some embodiments, if the zero-sequence voltage detection result indicates that the zero-sequence voltage does not exist in the voltage waveform to be detected, it is determined that there must be a fault in the circuit to be detected. At this time, the target fault detection result of the circuit to be detected can be directly determined as the absence of a fault in the circuit to be detected.

[0069] As an example, assume that in a certain time period, the value of the zero-sequence voltage is detected to be non-zero. This indicates that there may be a ground fault or load imbalance in the power system. In the same time period, the value of the zero-sequence current is also detected to be non-zero, which further confirms the possibility of a ground fault. It is observed that there is an abnormality in the voltage zero crossing, that is, the voltage waveform should transition smoothly near the zero voltage point under normal circumstances, but now there is a fluctuation or offset. Based on the detection results of the zero-sequence voltage, zero-sequence current and voltage zero crossing, at least one target fault detection method that matches the current fault characteristics will be selected from the preset multiple fault detection methods. For example, a specific ground fault detection algorithm may be selected to further analyze the location and nature of the fault. In another time period, the value of the zero-sequence voltage is detected to be zero, which indicates that the voltage in the system is balanced and there is no ground fault or load imbalance. At the same time, the value of the zero-sequence current is also detected to be zero, which means that there is no abnormal ground current. The voltage zero crossing detection result is normal, and the voltage waveform transitions smoothly near the zero voltage point without abnormality. Since the zero-sequence voltage and zero-sequence current detection results are both zero, and the voltage zero crossing detection result is normal, the target fault detection result of the circuit to be detected is determined to be that there is no fault. This means that the circuit is currently in normal working order and no faults have been detected.

[0070] In some embodiments, the above-mentioned preset fault detection methods include a steady-state detection method, a phase asymmetry detection method, a transient first half-wave detection method and an artificial intelligence detection method.

[0071] In some embodiments, the above-mentioned steady-state detection method is an important fault detection and location method in the diagnosis of single-phase grounding faults. The steady-state detection method is mainly based on the analysis of the electrical characteristics of the power system under steady-state operating conditions to identify and locate single-phase grounding faults. Under steady-state conditions, the three-phase currents of the power system are usually balanced. When a single-phase grounding fault occurs, the current of the faulty phase will change, and a zero-sequence current component will appear. Under steady-state conditions, the three-phase currents of the power system are usually balanced. When a single-phase grounding fault occurs, the current of the faulty phase will change, and a zero-sequence current component will appear. By real-time monitoring and collecting current data, analyzing parameters such as the amplitude, phase, and frequency of the current, the abnormality of the fault phase can be detected, especially the appearance and change of the zero-sequence current, which is an important basis for judging a single-phase grounding fault.

[0072] In some embodiments, the transient first half-wave detection method is a technology used in power system fault detection, especially in the detection of single-phase grounding faults. The transient first half-wave detection method uses the first half-wave of the transient process generated when a fault occurs in the power system. When a single-phase grounding fault occurs in the system, a transient current traveling wave will be generated at the fault point, and the first half-wave of this traveling wave contains rich fault information. Since the amplitude of the transient signal is usually much larger than the steady-state signal, this method has a high sensitivity for fault detection. The specific implementation steps can be: when a single-phase grounding fault occurs in the power system, a transient current traveling wave will be generated at the fault point. This process can be decomposed into the following steps: Fault occurs: a connection is established between a phase and the ground, generating a fault current. Transient process generation: the voltage and current near the fault point change rapidly, generating a transient current traveling wave. First half-wave extraction: through the detection equipment, the first half-wave of the transient process is captured and extracted. Signal processing The extracted transient first half-wave signal usually needs to undergo the following processing: Filtering: In order to remove noise and other interference in the signal, the signal may need to be filtered. Feature extraction: Extract useful features such as amplitude, frequency, phase, etc. from the filtered signal. Fault identification is based on the extracted features of the transient first half-wave signal to identify faults: Algorithm implementation: Transient signals are analyzed using certain algorithms, such as variational mode decomposition (VMD), Hausdorff distance algorithm, transient reactive power analysis, etc. Fault judgment: Compare the extracted features with the preset fault threshold or model to determine whether there is a fault. Fault location Once a fault is detected, the specific location of the fault needs to be determined: Fault section determination: Determine the section where the fault occurs by comparing the transient signal features of the healthy section and the faulty section. Line selection: Determine the specific fault line based on the difference in transient signal features. Protection action Performs corresponding protection actions based on the results of fault identification and location: Isolate fault: If the system design allows, the faulty line can be automatically isolated to prevent the fault from expanding. Alarm: Send a fault alarm to the operator so that further measures can be taken. System recovery After fault processing, the system needs to resume normal operation: Check the system: Check whether there are other potential problems in the system. Power supply restoration: After ensuring that the faulty line is isolated, restore power supply to the non-faulty lines.

[0073] In some embodiments, the phase asymmetry detection method is a method for detecting a single-phase grounding fault in a neutral point ungrounded system. This method does not need to rely on zero-sequence voltage, but judges the fault by monitoring the asymmetry of the three-phase current. In a normally operating three-phase system, the three-phase current is symmetrical. When a single-phase grounding fault occurs, the fault phase current will change, resulting in an increase in the asymmetry of the three-phase current. The phase asymmetry detection method is to identify the fault by detecting the asymmetry of the three-phase current. Specifically, it is to calculate the imbalance of the three-phase current. If it exceeds the set threshold, it is considered that a single-phase grounding fault has occurred in the system. The implementation steps can be: using a current transformer and other equipment to collect the three-phase current in the system in real time. Analyze the collected three-phase current and calculate its asymmetry. This usually involves the following steps: Calculate the fundamental component of the three-phase current. Obtain the amplitude and phase of the three-phase fundamental component. Calculate an asymmetry index, such as an asymmetry factor or an asymmetry index. Compare the calculated asymmetry with a preset threshold. If the asymmetry is greater than the threshold, it is determined that a single-phase grounding fault has occurred in the system. After detecting a fault, the system can further locate the line where the fault occurred. This is usually achieved by analyzing the relationship between the asymmetric characteristics of the current and the electrical parameters of the specific line. No need for zero-sequence voltage: The phase asymmetry detection method does not rely on zero-sequence voltage, so it is particularly useful in systems with ungrounded neutral points. Fast response speed: The fault can be detected very shortly after the fault occurs. High accuracy: With appropriate algorithm and threshold settings, single-phase ground faults can be accurately detected and located.

[0074] In some embodiments, the artificial intelligence detection method can be implemented by means of a fault diagnosis model, and artificial intelligence technology can be applied to the diagnosis of single-phase grounding faults. Artificial intelligence detection methods, especially fault diagnosis models, can identify and diagnose single-phase grounding faults by analyzing the operating data of the power system. The fault diagnosis model is trained using historical fault case data. The model may use deep learning, machine learning or artificial intelligence algorithms, such as decision trees, support vector machines, neural networks, etc. The trained model can be applied to real-time data to monitor the power system. The model analyzes the features in the data and identifies whether a single-phase grounding fault has occurred based on the patterns learned during training. If the model detects an abnormal pattern, it diagnoses the presence of a single-phase grounding fault and provides information about the location and severity of the fault. This helps maintenance personnel respond quickly and take repair measures. The advantage of the artificial intelligence fault diagnosis model is that it can process large amounts of complex data, discover patterns that are difficult for humans to detect, and can continuously learn and improve as new data accumulates. The application of this technology in power systems can improve the reliability of power systems, reduce maintenance costs, and shorten fault response time, which is of great significance for ensuring the safety and stability of power supply.

[0075] In some embodiments, the above-mentioned determination of at least one of the target fault detection modes corresponding to the circuit to be detected from the multiple preset fault detection modes based on the zero-sequence current detection result and the voltage zero-crossing detection result can be achieved in the following way: if the voltage zero-crossing detection result indicates that the voltage waveform to be detected passes through a zero point, and the zero-sequence current detection result indicates that the zero-sequence current does not exist in the current waveform to be detected, then the steady-state detection mode and the phase asymmetry detection mode are determined as the target fault detection mode.

[0076] In some embodiments, the zero crossing point in the voltage waveform to be detected is detected. The zero crossing point is the point where the voltage waveform switches from the positive half cycle to the negative half cycle or from the negative half cycle to the positive half cycle. The normal voltage waveform should transition smoothly at these points. At the same time, the zero-sequence current in the current waveform to be detected is detected. The zero-sequence current refers to the unbalanced part of the three-phase current, which does not pass through the normal working circuit, but flows back to the power supply through the grounding point or other paths. If the voltage zero-crossing detection result indicates the presence of a zero crossing point, this indicates that there is a transition point from positive to negative or from negative to positive in the voltage waveform. If the sequence current detection result indicates that there is no zero-sequence current, this means that no abnormal grounding current is detected. In this case, the system determines to use the steady-state detection method and the phase asymmetry detection method as the target fault detection method. Specific fault types in the circuit can be effectively diagnosed and corresponding measures can be taken, which will help improve the reliability and safety of the power system and ensure the continuity and quality of power supply.

[0077] In some embodiments, the voltage zero-crossing detection result indicates the conversion of the voltage waveform near the zero point, which is a feature of the normal waveform in the power system. The zero-sequence current detection result indicates that there is no zero-sequence current in the current waveform to be detected, which is usually a sign of normal operation of the power system, because the zero-sequence current is usually associated with a fault. When the voltage zero-crossing point exists and the zero-sequence current does not exist, this usually indicates that the system may be in a steady state, because when a fault occurs, although the values ​​of the zero-sequence voltage and the zero-sequence current may not be zero, they are usually very small. The transient algorithm is used to detect transient changes in the system, such as the initial response when a fault occurs. However, since the values ​​of the zero-sequence voltage and the zero-sequence current are very small when a fault occurs, the transient algorithm may not be able to accurately identify these tiny signal changes, which may lead to misjudgment. Therefore, the steady-state algorithm is preferably used to determine whether a fault has occurred, because the steady-state algorithm is more suitable for analyzing the characteristics of the system under steady-state conditions. In the distribution line, the arc suppression coil is grounded to limit the size of the fault current and prevent damage to the wires or equipment. -Due to the compensation effect of the arc suppression coil, when a fault occurs, only the zero-sequence voltage may be detected, and the zero-sequence current is limited to a very small range due to the action of the arc suppression coil. In this case, using a steady-state algorithm to determine the presence of a fault based solely on zero-sequence voltage may not be accurate due to the lack of information on zero-sequence current. Phase asymmetry is a method that analyzes the differences in three-phase voltage and current to determine the direction of current flow. In the case of arc suppression coil grounding, the phase asymmetry method can help determine whether the fault occurs within the line boundary (close to the transformer side) or outside the boundary (away from the transformer side). By analyzing the asymmetry between phases, the location of the fault can be inferred, thereby distinguishing whether the fault occurs inside or outside the distribution line. When the voltage zero crossing is detected but the zero-sequence current is not present, the steady-state algorithm is first used to determine the presence of the fault. However, in the presence of arc suppression coil grounding, the steady-state algorithm may not be able to accurately determine the fault location due to the limited detection of zero-sequence current. Therefore, the phase asymmetry method, as an auxiliary means, can help determine whether the fault occurs within or outside the boundary, thereby providing a more comprehensive and accurate fault diagnosis.

[0078] In some embodiments, since the voltage is near zero when a fault occurs, although the values ​​of zero-sequence voltage and zero-sequence current are not 0, they are very small, and the transient algorithm cannot accurately identify the fault, so the steady-state algorithm is preferentially used to determine whether a fault has occurred. However, when there is a grounding of the arc suppression coil in the distribution line, due to the compensation effect of the arc suppression coil, only the zero-sequence voltage can be detected at this time. Therefore, the steady-state algorithm is used to determine whether a fault has occurred based on the zero-sequence voltage, but since the zero-sequence current cannot be detected, the location of the fault cannot be determined. At this time, the phase asymmetry method is used for auxiliary judgment to determine whether the fault occurs within the boundary or outside the boundary. Specifically, the direction of the current can be determined by the phase asymmetry method to determine whether the fault occurs within the boundary or outside the boundary.

[0079] In this way, when the voltage is detected to be crossing the zero point but the zero-sequence current does not exist, the steady-state algorithm is used to judge the fault first, which can avoid misjudgment caused by weak fault signals. In addition, when there is a grounding of the arc suppression coil in the distribution line, the steady-state algorithm can judge the existence of the fault based on the zero-sequence voltage, but since the zero-sequence current cannot be detected, the fault location cannot be determined. At this time, the phase asymmetry method, as an auxiliary means, can analyze the current flow direction and help determine whether the fault occurs inside or outside the boundary, thereby providing a more comprehensive and accurate fault diagnosis. This fault detection method helps to quickly locate and solve faults, reduce downtime, reduce maintenance costs, and ensure the continuity and quality of power supply.

[0080] In some embodiments, the above-mentioned determination of at least one of the target fault detection methods corresponding to the circuit to be detected from the multiple preset fault detection methods based on the zero-sequence current detection result and the voltage zero-crossing detection result can be achieved in the following way: if the voltage zero-crossing detection result indicates that the voltage waveform to be detected crosses the zero point, and the zero-sequence current detection result indicates that the zero-sequence current exists in the current waveform to be detected, then a high-resistance grounding detection is performed on the circuit to be detected to obtain a high-resistance grounding detection result; if the high-resistance grounding detection result indicates that the circuit to be detected has a high-resistance grounding, then the steady-state detection method and the phase asymmetry detection method are determined as the target fault detection method, or the steady-state detection method, the phase asymmetry detection method and the artificial intelligence detection method are determined as the target fault detection method.

[0081] In some embodiments, when the voltage zero-crossing detection result indicates that the voltage waveform to be detected has a zero-crossing point, this indicates that the voltage waveform is within the normal operating range. When the zero-sequence current detection result indicates that there is a zero-sequence current in the current waveform to be detected, this generally indicates that there is a ground fault in the circuit. In the case of confirming the presence of zero-sequence current, a high-resistance grounding detection is performed on the circuit to be detected. High-resistance grounding refers to a ground fault with a large grounding resistance. High-resistance grounding detection may include measuring the grounding resistance or analyzing specific features in the current and voltage waveforms. If the high-resistance grounding detection result indicates that there is a high-resistance grounding in the circuit to be detected, this means that the ground fault resistance in the circuit is high. In this case, it is necessary to determine further fault detection methods. If high-resistance grounding is detected, one or a combination of the following fault detection methods may be selected: Steady-state detection method: This detection method is used to analyze the operation of the power system in a steady state, which can help determine the existence and type of fault. Phase asymmetry detection method: This detection method can help determine the location and nature of the fault by analyzing the asymmetry of the three-phase current and voltage. Artificial intelligence detection method: Using artificial intelligence algorithms, such as machine learning or deep learning, fault modes can be learned from a large amount of data, thereby improving the accuracy and efficiency of detection. Through this logic, the most appropriate detection method can be selected according to the high-resistance grounding detection results to further diagnose the fault. This multi-level fault detection strategy improves the comprehensiveness and accuracy of fault diagnosis and helps to quickly and effectively identify and handle grounding faults in power systems.

[0082] In some embodiments, since the fault diagnosis accuracy of the steady-state algorithm and the phase asymmetry method is low in the case of a high-resistance ground fault, the present application can further combine the pre-trained fault diagnosis model for fault diagnosis on this basis, and use weights to calculate the corresponding results of the steady-state algorithm, phase asymmetry algorithm and fault diagnosis model to obtain the final fault diagnosis result.

[0083] In this way, by comprehensively using the steady-state detection method, the phase asymmetry detection method and the artificial intelligence detection method, the fault diagnosis process of the present application can significantly improve the detection and diagnosis accuracy of high-resistance grounding faults in the power system. This multi-level approach can analyze the state of the system from multiple angles to ensure that the location and nature of the fault can be accurately identified even in difficult-to-diagnose cases such as high-resistance grounding. Based on the steady-state algorithm and the phase asymmetry method, the introduction of the artificial intelligence model provides additional depth and accuracy to the diagnostic results. By combining the results of different detection methods with weight calculation, the final fault diagnosis results can be ensured to be more reliable, which helps to quickly respond to and repair faults, thereby improving the stability and safety of the power system, reducing losses caused by faults, and ensuring the continuity and quality of power supply.

[0084] In some embodiments, the above-mentioned high-resistance grounding detection of the circuit to be detected to obtain the high-resistance grounding detection result can be achieved in the following way: obtain the amplitude of the zero-sequence current, and compare the amplitude with a preset amplitude range to obtain a comparison result; if the comparison result indicates that the amplitude is within the preset amplitude range, the high-resistance grounding detection result is determined as the existence of high-resistance grounding in the circuit to be detected; if the comparison result indicates that the amplitude is not within the preset amplitude range, the high-resistance grounding detection result is determined as the absence of high-resistance grounding in the circuit to be detected.

[0085] In some embodiments, in the power system, the zero-sequence current is a current caused by a three-phase unbalance or a ground fault. In order to detect high-resistance grounding, it is first necessary to measure the zero-sequence current amplitude in the circuit. A preset amplitude interval will be set, which is based on the zero-sequence current amplitude range under normal working conditions and known low-resistance grounding faults. This interval is predetermined based on historical data, equipment characteristics and safety standards. The actual measured zero-sequence current amplitude is compared with the preset amplitude interval. If the amplitude falls within the interval, a high-resistance grounding fault may exist; if the amplitude is not within the interval, the possibility of a high-resistance grounding fault can be ruled out. According to the comparison result, if the zero-sequence current amplitude is within the preset amplitude interval, the system will determine that there is a high-resistance grounding fault in the circuit to be detected. If the zero-sequence current amplitude is not within the preset amplitude interval, it will be determined that there is no high-resistance grounding fault in the circuit to be detected.

[0086] As an example, there is a power distribution system, and we know that the zero-sequence current amplitude under normal conditions should be between 0 and 1 ampere. If the zero-sequence current amplitude measured in a certain period is 0.5 amperes, this value falls within the preset amplitude range, and it may be judged that there is a high-resistance ground fault. On the contrary, if the measured zero-sequence current amplitude is 2 amperes, this value exceeds the preset amplitude range, and the system will think that there is no high-resistance ground fault, which may be other types of faults or normal operating conditions.

[0087] In this way, the introduction of a high-resistance grounding detection method based on the comparison of the zero-sequence current amplitude with the preset amplitude range can effectively improve the efficiency and accuracy of power system fault diagnosis. This method can quickly distinguish whether there is a high-resistance grounding fault, reduce the ineffective consumption of system resources, and reduce the misjudgment rate, thereby improving the reliability of the power system, shortening the fault handling time, ensuring the continuity and safety of power supply, and reducing maintenance costs and potential risks.

[0088] In some embodiments, the above-mentioned determination of the target fault detection result of the circuit to be detected based on each of the fault detection results can be achieved in the following manner: if the target fault detection method is the steady-state detection method, the phase asymmetry detection method and the artificial intelligence detection method, and each of the fault detection results indicates that the circuit to be detected has a fault, the fault positions indicated by each of the fault detection results are averaged to obtain an average position; the target fault detection result is determined as that the circuit to be detected has a fault, and the fault position of the fault in the circuit to be detected is the average position.

[0089] In some embodiments, the steady-state detection method, the phase asymmetry detection method, and the artificial intelligence detection method each analyze the state of the circuit from different angles, thereby obtaining their own judgments on the fault location. The steady-state detection method focuses on the parameter performance of the circuit in a stable state, the phase asymmetry detection method analyzes the imbalance between the three phases, and the artificial intelligence detection method uses a pre-trained model to identify complex fault modes. When all three detection methods indicate that the circuit is faulty, they may each provide different fault location information. Since each detection method has its limitations, relying on any one detection method alone may introduce misjudgment or uncertainty. In order to reduce misjudgment and improve accuracy, the fault locations indicated by the three detection methods are averaged. Assuming that the errors of the three detection methods are randomly distributed, some errors can be offset by taking the average value to obtain an estimate closer to the true fault location. As a comprehensive result, the average position provides a more reliable estimate of the fault location, which helps guide maintenance personnel to locate and repair the fault. It will be determined that there is a fault in the circuit to be detected, and the approximate location of the fault is given based on the average position information provided by the three detection methods. Comprehensive diagnostic results help improve the accuracy of fault diagnosis and reduce additional maintenance work caused by misdiagnosis, thereby saving time and resources and improving the operating efficiency of the power system.

[0090] In some embodiments, since the fault diagnosis accuracy of the steady-state algorithm and the phase asymmetry method is low in the case of a high-resistance ground fault, the present application can further combine the pre-trained fault diagnosis model for fault diagnosis on this basis, and use weights to calculate the corresponding results of the steady-state algorithm, phase asymmetry algorithm and fault diagnosis model to obtain the final fault diagnosis result.

[0091] In this way, the three methods of steady-state detection, phase asymmetry detection and artificial intelligence detection are used in combination for fault diagnosis, and the final fault location is determined by averaging the fault locations indicated by each detection result, which can effectively improve the accuracy and efficiency of power system fault diagnosis. The advantage of this multi-dimensional detection method is that it can analyze the circuit status from different angles, reduce the limitations of a single detection method, and improve the reliability of fault location. The fault location obtained by averaging is closer to the actual situation, which helps to guide maintenance personnel to quickly locate and repair the fault, reduce the downtime of the power system, ensure the continuity and stability of power supply, and reduce maintenance costs and potential risks. The implementation of this comprehensive diagnostic strategy is of great significance to improving the overall performance and reliability of the power system.

[0092] In some embodiments, the above-mentioned determination of at least one of the target fault detection methods corresponding to the circuit to be detected from the multiple preset fault detection methods based on the zero-sequence current detection result and the voltage zero-crossing detection result can be achieved in the following way: if the voltage zero-crossing detection result indicates that the voltage waveform to be detected has not passed through the zero point, and the zero-sequence current detection result indicates that the zero-sequence current exists in the current waveform to be detected, a high-resistance grounding detection is performed on the circuit to be detected to obtain a high-resistance grounding detection result, and a neutral point grounding detection is performed on the circuit to be detected to obtain a neutral point grounding detection result; based on the high-resistance grounding detection result and the neutral point grounding detection result, at least one of the target fault detection methods corresponding to the circuit to be detected is determined from the multiple preset fault detection methods.

[0093] In some embodiments, if the voltage zero-crossing detection result indicates that the voltage waveform to be detected does not cross the zero point, this may indicate that there is a problem with the voltage waveform, such as voltage distortion or interruption. If the zero-sequence current detection result indicates the presence of zero-sequence current, this generally means that there is a ground fault in the circuit, because the zero-sequence current is caused by the ground fault. In order to further confirm the nature of the ground fault, a high-resistance grounding detection is performed. High-resistance grounding detection can help distinguish high-resistance grounding faults from low-resistance grounding faults. In addition to high-resistance grounding detection, a neutral point grounding detection is also performed, which can help determine whether the neutral point is grounded, which is critical for diagnosing certain types of ground faults. Based on the high-resistance grounding detection result and the neutral point grounding detection result, at least one of the preset multiple fault detection methods is selected as the target fault detection method. These preset fault detection methods may include, but are not limited to, steady-state detection, transient detection, phase asymmetry detection, harmonic analysis, etc., each of which has its specific application scenarios and advantages. The selected target fault detection method should be able to effectively identify and analyze the fault characteristics currently detected. For example, if the high-resistance grounding detection result is strong, the steady-state detection method may be preferred; if the neutral point grounding detection result is obvious, the phase asymmetry detection method may be selected.

[0094] In some embodiments, the above-mentioned determination of at least one of the target fault detection modes corresponding to the circuit to be detected from the multiple preset fault detection modes based on the high-resistance grounding detection result and the neutral point grounding detection result can be achieved in the following way: if the high-resistance grounding detection result indicates that the circuit to be detected does not have high-resistance grounding, and the neutral point grounding detection result indicates that the neutral point of the circuit to be detected is not grounded, then the steady-state detection mode and the transient first half-wave detection mode are determined as the target fault detection mode.

[0095] In some embodiments, if the high-resistance grounding detection result indicates that there is no high-resistance grounding in the circuit to be detected, this means that the resistance of the grounding fault is not high, or no obvious grounding fault is detected in the circuit. At the same time, if the neutral point grounding detection result indicates that the circuit is not grounded at the neutral point, this indicates that the neutral point of the circuit is not grounded, which may be due to system design or fault. Based on the above two detection results, the system will determine to use the steady-state detection method and the transient first half-wave detection method as the target fault detection method. The steady-state detection method is suitable for analyzing the operation of the power system under steady-state conditions. It can be used to identify whether there are continuous steady-state faults in the circuit, such as line breaks, poor contact, etc. The transient first half-wave detection method focuses on the transient response of the system, especially the initial waveform after the fault occurs, which helps to capture and identify faults caused by instantaneous disturbances.

[0096] In some embodiments, when it is confirmed that the fault occurs at a non-zero voltage point and the neutral point of the distribution line is not grounded, a steady-state algorithm is used to perform fault diagnosis based on the zero-sequence voltage and zero-sequence current to obtain a third steady-state fault diagnosis result; a transient algorithm is used to perform fault diagnosis to obtain a third transient fault diagnosis result; when the third steady-state fault diagnosis result and the third transient fault diagnosis result both indicate the existence of a single-phase grounding fault, it is confirmed that a single-phase grounding fault has occurred in the distribution line; or, when both indicate that there is no fault, it is confirmed that the distribution box circuit is normal.

[0097] In some embodiments, the above-mentioned determination of at least one of the target fault detection methods corresponding to the circuit to be detected from the multiple preset fault detection methods based on the high-resistance grounding detection result and the neutral point grounding detection result can be achieved in the following way: if the high-resistance grounding detection result indicates that the circuit to be detected has high-resistance grounding, and the neutral point grounding detection result indicates that the neutral point of the circuit to be detected is not grounded, then the steady-state detection method, the phase asymmetry detection method and the transient first half-wave detection method are determined as the target fault detection method.

[0098] In some embodiments, high-resistance grounding generally refers to a ground fault with high ground resistance, which may be caused by poor grounding, large ground resistance or insulation damage. It may cause current leakage, but may not cause significant short-circuit current. Neutral point ungrounding means that the neutral point of the system is not connected to the ground. This configuration is normal in some systems, especially in three-phase four-wire systems, where the neutral point may not be directly grounded, but grounded through an impedance or arc suppression coil. The steady-state detection method is used to analyze the parameters of the power system under stable operating conditions, such as voltage, current and power. It helps to identify steady-state faults in the circuit, such as line breaks, poor contacts or abnormalities of electrical equipment. The phase asymmetry detection method diagnoses faults by analyzing the asymmetry of three-phase voltage and current. This detection method is particularly suitable for identifying phase differences caused by unbalanced loads, line faults or equipment faults. The transient first half-wave detection method focuses on the response of the system under transient conditions, especially in the initial time period after the fault occurs. This detection method helps to capture and analyze faults caused by instantaneous disturbances, such as switching operations, short circuit faults or lightning strikes. By combining these three detection methods, the system can analyze the state of the circuit from different angles and time periods, thereby improving the comprehensiveness and accuracy of fault diagnosis. Steady-state detection provides long-term system operation, phase asymmetry detection analyzes the imbalance between the three phases, and transient first half-wave detection captures transient events. This multi-level detection strategy helps to quickly identify and locate high-resistance grounding faults, ensuring the safe and stable operation of the power system.

[0099] In this way, when the high-resistance grounding detection result indicates the existence of high-resistance grounding, and the neutral point grounding detection result indicates that the neutral point is not grounded, the steady-state detection method, the phase asymmetry detection method, and the transient first half-wave detection method are selected as the target fault detection method, which can provide a comprehensive and detailed diagnosis. The steady-state detection method can identify steady-state faults in the circuit, the phase asymmetry detection method can capture the imbalance of three-phase voltage and current, and the transient first half-wave detection method can analyze the system response under transient conditions. Through this multi-angle and multi-time period detection method, high-resistance grounding faults can be more accurately identified and located, and the accuracy and efficiency of fault diagnosis can be improved. This helps the power system to quickly resume operation, reduce the time and cost of fault handling, thereby improving the reliability and safety of the power system and ensuring the continuity and quality of power supply.

[0100] In step 103, fault detection is performed on the circuit to be detected according to each of the target fault detection modes, to obtain a fault detection result corresponding to each of the target fault detection modes.

[0101] In some embodiments, the preset fault detection method includes a steady-state detection method, a phase asymmetry detection method, a transient first half-wave detection method, and an artificial intelligence detection method. The target fault detection method includes at least one of a steady-state detection method, a phase asymmetry detection method, a transient first half-wave detection method, and an artificial intelligence detection method.

[0102] In some embodiments, the above-mentioned steady-state detection method is an important fault detection and location method in the diagnosis of single-phase grounding faults. The steady-state detection method is mainly based on the analysis of the electrical characteristics of the power system under steady-state operating conditions to identify and locate single-phase grounding faults. Under steady-state conditions, the three-phase currents of the power system are usually balanced. When a single-phase grounding fault occurs, the current of the faulty phase will change, and a zero-sequence current component will appear. Under steady-state conditions, the three-phase currents of the power system are usually balanced. When a single-phase grounding fault occurs, the current of the faulty phase will change, and a zero-sequence current component will appear. By real-time monitoring and collecting current data, analyzing parameters such as the amplitude, phase, and frequency of the current, the abnormality of the fault phase can be detected, especially the appearance and change of the zero-sequence current, which is an important basis for judging a single-phase grounding fault.

[0103] In some embodiments, the transient first half-wave detection method is a technology used in power system fault detection, especially in the detection of single-phase grounding faults. The transient first half-wave detection method uses the first half-wave of the transient process generated when a fault occurs in the power system. When a single-phase grounding fault occurs in the system, a transient current traveling wave will be generated at the fault point, and the first half-wave of this traveling wave contains rich fault information. Since the amplitude of the transient signal is usually much larger than the steady-state signal, this method has a high sensitivity for fault detection. The specific implementation steps can be: when a single-phase grounding fault occurs in the power system, a transient current traveling wave will be generated at the fault point. This process can be decomposed into the following steps: Fault occurs: a connection is established between a phase and the ground, generating a fault current. Transient process generation: the voltage and current near the fault point change rapidly, generating a transient current traveling wave. First half-wave extraction: through the detection equipment, the first half-wave of the transient process is captured and extracted. Signal processing The extracted transient first half-wave signal usually needs to undergo the following processing: Filtering: In order to remove noise and other interference in the signal, the signal may need to be filtered. Feature extraction: Extract useful features such as amplitude, frequency, phase, etc. from the filtered signal. Fault identification is based on the extracted features of the transient first half-wave signal to identify faults: Algorithm implementation: Transient signals are analyzed using certain algorithms, such as variational mode decomposition (VMD), Hausdorff distance algorithm, transient reactive power analysis, etc. Fault judgment: Compare the extracted features with the preset fault threshold or model to determine whether there is a fault. Fault location Once a fault is detected, the specific location of the fault needs to be determined: Fault section determination: Determine the section where the fault occurs by comparing the transient signal features of the healthy section and the faulty section. Line selection: Determine the specific fault line based on the difference in transient signal features. Protection action Performs corresponding protection actions based on the results of fault identification and location: Isolate fault: If the system design allows, the faulty line can be automatically isolated to prevent the fault from expanding. Alarm: Send a fault alarm to the operator so that further measures can be taken. System recovery After fault processing, the system needs to resume normal operation: Check the system: Check whether there are other potential problems in the system. Power supply restoration: After ensuring that the faulty line is isolated, restore power supply to the non-faulty lines.

[0104] In some embodiments, the phase asymmetry detection method is a method for detecting a single-phase grounding fault in a neutral point ungrounded system. This method does not need to rely on zero-sequence voltage, but judges the fault by monitoring the asymmetry of the three-phase current. In a normally operating three-phase system, the three-phase current is symmetrical. When a single-phase grounding fault occurs, the fault phase current will change, resulting in an increase in the asymmetry of the three-phase current. The phase asymmetry detection method is to identify the fault by detecting the asymmetry of the three-phase current. Specifically, it is to calculate the imbalance of the three-phase current. If it exceeds the set threshold, it is considered that a single-phase grounding fault has occurred in the system. The implementation steps can be: using a current transformer and other equipment to collect the three-phase current in the system in real time. Analyze the collected three-phase current and calculate its asymmetry. This usually involves the following steps: Calculate the fundamental component of the three-phase current. Obtain the amplitude and phase of the three-phase fundamental component. Calculate an asymmetry index, such as an asymmetry factor or an asymmetry index. Compare the calculated asymmetry with a preset threshold. If the asymmetry is greater than the threshold, it is determined that a single-phase grounding fault has occurred in the system. After detecting a fault, the system can further locate the line where the fault occurred. This is usually achieved by analyzing the relationship between the asymmetric characteristics of the current and the electrical parameters of the specific line. No need for zero-sequence voltage: The phase asymmetry detection method does not rely on zero-sequence voltage, so it is particularly useful in systems with ungrounded neutral points. Fast response speed: The fault can be detected very shortly after the fault occurs. High accuracy: With appropriate algorithm and threshold settings, single-phase ground faults can be accurately detected and located.

[0105] In some embodiments, the artificial intelligence detection method can be implemented by means of a fault diagnosis model, and artificial intelligence technology can be applied to the diagnosis of single-phase grounding faults. Artificial intelligence detection methods, especially fault diagnosis models, can identify and diagnose single-phase grounding faults by analyzing the operating data of the power system. The fault diagnosis model is trained using historical fault case data. The model may use deep learning, machine learning or artificial intelligence algorithms, such as decision trees, support vector machines, neural networks, etc. The trained model can be applied to real-time data to monitor the power system. The model analyzes the features in the data and identifies whether a single-phase grounding fault has occurred based on the patterns learned during training. If the model detects an abnormal pattern, it diagnoses the presence of a single-phase grounding fault and provides information about the location and severity of the fault. This helps maintenance personnel respond quickly and take repair measures. The advantage of the artificial intelligence fault diagnosis model is that it can process large amounts of complex data, discover patterns that are difficult for humans to detect, and can continuously learn and improve as new data accumulates. The application of this technology in power systems can improve the reliability of power systems, reduce maintenance costs, and shorten fault response time, which is of great significance for ensuring the safety and stability of power supply.

[0106] In step 104, based on each of the fault detection results, a target fault detection result of the circuit to be detected is determined.

[0107] In some embodiments, the target fault detection result is used to indicate whether the circuit to be detected has a fault, and the fault location of the fault in the circuit to be detected when the fault exists.

[0108] In some embodiments, when the above-mentioned target fault detection method is the steady-state detection method and the transient first half-wave detection method, the above-mentioned step 104 can be implemented in the following manner: if the fault detection results corresponding to the steady-state detection method and the transient first half-wave detection method respectively indicate different contents, then based on the phase asymmetry detection method, the circuit to be detected is fault detected to obtain a phase asymmetry detection result, and the phase asymmetry detection result is determined as the target fault detection result; if the fault detection results corresponding to the steady-state detection method and the transient first half-wave detection method respectively indicate that the circuit to be detected has a fault, then the target fault detection result is determined as the circuit to be detected has a fault; if the fault detection results corresponding to the steady-state detection method and the transient first half-wave detection method respectively indicate that the circuit to be detected does not have a fault, then the target fault detection result is determined as the circuit to be detected does not have a fault.

[0109] In some embodiments, the steady-state detection method is usually used to analyze the performance of the system under steady-state conditions, while the transient first half-wave detection method focuses on the behavior of the system under transient conditions, especially in the initial stage after a fault occurs. If the fault detection results of the two detection methods are inconsistent, it means that they may have different interpretations of the system state. This may be due to the limitations of the detection method itself, or the characteristics of the fault in the system. In this case, the phase asymmetry detection method is used to further analyze the system. The phase asymmetry detection method diagnoses faults by comparing the asymmetry of the three-phase voltage and current, and it can provide additional information to help confirm or eliminate the fault. If the phase asymmetry detection method indicates that there is a fault, the phase asymmetry detection result will be determined as the final target fault detection result. If both the steady-state detection method and the transient first half-wave detection method indicate that there is a fault, the system will determine the target fault detection result as a fault in the circuit to be detected. If both detection methods indicate that there is no fault, the system will reverse the logic to determine the target fault detection result as a fault in the circuit to be detected. This may be based on a logical contradiction, that is, both detection methods believe that there is no fault, but in fact the system behaves abnormally.

[0110] As an example, the detection results show that there is no obvious abnormality in the current waveform of the feeder in the steady state, so the steady-state detection method indicates that there is no fault. The transient first half-wave detection method detects that the current waveform has significant distortion in the initial stage after the fault occurs, and the transient first half-wave detection method indicates that there is a fault. The phase asymmetry detection method is then used for further analysis. The phase asymmetry detection method found that there is a significant imbalance between the three-phase currents, which indicates that there may be a phase-to-phase short circuit or ground fault on the feeder. The phase asymmetry detection result indicates the presence of a fault. In this case, the phase asymmetry detection result is determined as the final target fault detection result because it is a third detection method based on a different principle, providing additional evidence to support the existence of a fault.

[0111] As an example, if both the steady-state detection method and the transient first half-wave detection method indicate that a fault exists, the system does not need to perform phase asymmetry detection and directly determines the target fault detection result as a fault because both independent detection methods confirm the existence of a fault. If both the steady-state detection method and the transient first half-wave detection method indicate that there is no fault, but the actual system operation data shows an abnormality, the system may reverse the logic judgment and determine the target fault detection result as a fault. This may occur when the detection device itself is falsely reported or the system has a fault type that is not covered by the detection method.

[0112] In this way, the multi-level fault diagnosis process can significantly improve the accuracy and reliability of power system fault diagnosis by combining the advantages of different detection methods. It ensures that when the detection results are inconsistent, the phase asymmetry detection method can be used to provide more comprehensive fault information to avoid misjudgment; when the detection results are consistent, it can be confirmed that the fault exists; even when the detection results show that there is no fault, the reverse logic can still be used to identify potential hidden faults, thereby ensuring the safe and stable operation of the power system, reducing downtime, and improving economic benefits.

[0113] In some embodiments, when the target fault detection method mentioned above is the steady-state detection method, the phase asymmetry detection method and the transient first half-wave detection method, the above step 104 can be implemented in the following manner: if the fault detection result corresponding to the transient first half-wave detection method indicates that there is a fault in the circuit to be detected, and the fault detection result corresponding to at least one of the steady-state detection method and the phase asymmetry detection method indicates that there is a fault in the circuit to be detected, then the target fault detection result is determined as the circuit to be detected has a fault; if the fault detection result corresponding to the transient first half-wave detection method indicates that there is a fault in the circuit to be detected, and the fault detection results corresponding to the steady-state detection method and the phase asymmetry detection method both indicate that there is no fault in the circuit to be detected, then the target fault detection result is determined as the circuit to be detected has no fault.

[0114] In some embodiments, if the transient first half-wave detection method indicates that there is a fault in the circuit to be detected, this indicates that the circuit may have a transient fault or an abnormal transient process. If at least one of the steady-state detection method or the phase asymmetry detection method indicates that there is a fault, then combined with the result of the transient first half-wave detection method, the confidence in the existence of the fault can be enhanced. The steady-state detection method focuses on the performance of the circuit under steady-state conditions, while the phase asymmetry detection method focuses on the imbalance between the three phases. These two methods can provide fault information from different angles. When the transient first half-wave detection method indicates that there is a fault, and at least one of the steady-state detection method or the phase asymmetry detection method also indicates that there is a fault, the system combines this information and can determine that the target fault detection result is that there is a fault in the circuit to be detected. In this case, the consistency of multiple detection methods improves the reliability of fault diagnosis. If the transient first half-wave detection method indicates that there is a fault, but both the steady-state detection method and the phase asymmetry detection method indicate that there is no fault, a detection contradiction may occur. In this case, according to the logic you provide, the system will determine that the target fault detection result is that there is no fault in the circuit to be detected. This may be because the result of the transient first half-wave detection method is considered a false alarm, or because the characteristics of the circuit make the steady-state and phase asymmetry detection methods unable to detect the fault.

[0115] As an example, when performing transient first half-wave detection, an abnormal current waveform is detected, which is usually caused by a transient event such as a short circuit or a switching operation. The detection result indicates that a fault exists. The circuit is analyzed using a steady-state detection method, and the results show that under normal working conditions, the waveforms of current and voltage are not abnormal. The detection result indicates that there is no fault. Through phase asymmetry detection, it is found that there is an imbalance between the three-phase currents, which may indicate that the load of one or two phases in the circuit is different from that of the other phases, or there is a ground fault. The detection result indicates that there is a fault. If the transient first half-wave detection method indicates that there is a fault, and at least one of the steady-state detection method or the phase asymmetry detection method also indicates that there is a fault, then the target fault detection result will be determined as a fault in the circuit to be detected. Then, although the steady-state detection method did not find a fault, the phase asymmetry detection method found an imbalance, so the final target fault detection result is determined to be a fault.

[0116] As an example, if the transient first half-wave detection method indicates that there is a fault, but the steady-state detection method and the phase asymmetry detection method both indicate that there is no fault, then the target fault detection result will be determined as no fault in the circuit to be detected. This situation is rare in actual situations, because if the transient detection finds a fault, usually the steady-state or phase asymmetry detection should also be able to detect some abnormalities. But if this situation does occur, according to the logic, the target fault detection result is determined as no fault.

[0117] In this way, by adopting this comprehensive fault diagnosis method, the power system can identify and locate faults more accurately. When the transient first half-wave detection method indicates the presence of a fault, and at least one of the steady-state detection method or the phase asymmetry detection method also indicates the presence of a fault, by combining the results of different detection methods, it can be confirmed that the fault exists, so that repair measures can be taken quickly to reduce system downtime and improve power supply reliability. When the transient first half-wave detection method indicates the presence of a fault, but both the steady-state detection method and the phase asymmetry detection method indicate that there is no fault, reverse logic judgment can be used to avoid misdiagnosis, ensure the normal operation of the system, and improve the overall efficiency and safety of the power system. This flexible and changeable fault diagnosis process helps the power system to respond quickly and deal with various potential operating risks.

[0118] In this way, by performing waveform detection on the waveform to be detected of the circuit to be detected, a waveform detection result is obtained, based on the waveform detection result, at least one target fault detection method corresponding to the circuit to be detected is determined from a plurality of preset fault detection methods, and fault detection is performed on the circuit to be detected according to each target fault detection method to obtain the fault detection result corresponding to each target fault detection method, and based on each fault detection result, a target fault detection result of the circuit to be detected is determined, and the target fault detection result is used to indicate whether there is a fault in the circuit to be detected, and the fault position of the fault in the circuit to be detected when there is a fault. In this way, by determining at least one target fault detection method corresponding to the circuit to be detected from a plurality of preset fault detection methods based on the waveform detection result, fault detection is performed on the circuit to be detected according to each target fault detection method to obtain the fault detection result corresponding to each target fault detection method, and based on each fault detection result, a target fault detection result of the circuit to be detected is determined, thereby performing fault detection based on the waveform detection result in combination with a plurality of preset detection methods, and determining the target fault detection result of the circuit to be detected by combining the fault detection results, thereby effectively improving the accuracy of circuit fault diagnosis.

[0119] In some embodiments, single-phase grounding has the following steady-state characteristics: zero-sequence voltage appears; the fault phase voltage is 0, and the non-fault phase voltage rises to the line voltage; the zero-sequence current of the non-grounded line flows from the bus to the line, and the zero-sequence current of the grounded line flows from the line to the bus, and the directions of the zero-sequence currents of the two are opposite. According to the above steady-state characteristics, the steady-state algorithm generally uses the zero-sequence voltage (feature 1) to start, and the different directions of the zero-sequence current (feature 3) are used to distinguish the power direction algorithm inside and outside the boundary. In order to make the algorithm more reliable and avoid misjudgment caused by interference signals, some algorithms also add the function of phase voltage auxiliary calculation based on feature 2. However, when the neutral point is grounded through an arc suppression coil, due to the compensation effect of the arc suppression coil, resonance will occur, and the power direction may oscillate, affecting the fault judgment.

[0120] In some embodiments, when a single-phase grounding occurs in the distribution network, within the first half-wave when the fault occurs, the transient zero-sequence current of the fault line is opposite to the transient zero-sequence voltage, while the polarity is the same on the non-fault line. And the transient zero-sequence current is several to dozens of times larger than the steady-state capacitor current. Since the transient capacitor current is large and the oscillation frequency of the transient signal is very high when it is attenuated, it is difficult to flow through the inductor, so it is also applicable to the system grounded by the arc suppression coil. However, the transient algorithm is easily interfered by other transient signals on the line, such as lightning strikes, operating overvoltage, etc.

[0121] In some embodiments, in the absence of zero-sequence voltage and zero-sequence current sensors, the phase asymmetry method can be used to identify single-phase grounding. When a single-phase grounding fault occurs, non-periodic and periodic fault components will appear in the phase current, and this component is greater in the fault phase than in the non-fault phase, so it can be used as a basis for single-phase grounding line selection. The fault signal extraction of this algorithm is too difficult compared to directly sampling zero voltage and zero current, and the reliability of the algorithm is average. It is suitable for circuit breaker modification projects without zero-sequence voltage and zero-sequence current sensors.

[0122] In some embodiments, when single-phase grounding occurs, a comprehensive fault analysis is performed based on the zero-sequence voltage and current recording information. The specific steps are as follows: If the initial voltage is near 0 when the fault occurs, the values ​​of the zero-sequence voltage and zero-sequence current are very small, and the transient algorithm cannot be prepared to identify the fault. The steady-state algorithm can collect the zero-sequence voltage signal after the voltage passes through zero, but if it is a grounding system through an arc suppression coil, the zero-sequence current signal is not obvious at this time, and it is impossible to define whether the fault is inside or outside the boundary, and it is impossible to locate the fault section. Therefore, at this time, the steady-state zero-sequence voltage should be used as the starting condition, and the judgment result of the zero-sequence current by the comprehensive phase asymmetry method should be used to identify the fault and distinguish between inside and outside the boundary. If the initial voltage is near a non-zero point when the fault occurs, if the system is a neutral point ungrounded system, the transient algorithm and the steady-state algorithm are mainly used at this time. If the judgment results of the two algorithms are consistent, the result shall prevail. If the judgment results are inconsistent or one algorithm does not identify the fault, the judgment result of the phase asymmetry method is referenced at this time. If neither the transient algorithm nor the steady-state algorithm judges a fault, it is considered that there is no fault, and the result of the phase asymmetry method is not referenced. If high-resistance grounding occurs (grounding through trees, etc.), the transient algorithm is used as the main method, and the steady-state algorithm and phase asymmetry method are used as auxiliary methods. If the transient algorithm determines a fault, and the steady-state algorithm has zero voltage or the phase asymmetry method has also determined a fault, it is considered that there is a fault. If the transient algorithm determines a fault, but the steady-state algorithm does not record zero voltage and the phase asymmetry method has not determined a fault, no fault is reported.

[0123] In some embodiments, if high-resistance grounding occurs near the voltage crossing 0, the transient state does not detect a fault, but the steady state has zero voltage, and the phase asymmetry method also detects a fault. At this time, the fault characteristics are scored. If the score is greater than 80 points, a fault can be detected, and if the score is less than 80 points, it is considered that there is no fault. (The fault characteristic score is obtained through AI training. Thousands of actual fault waveforms on site are collected, and then the algorithm is trained).

[0124] In some embodiments, a voltage waveform to be measured and a current waveform to be measured are collected on the distribution line to confirm whether the voltage waveform to be measured and the current waveform to be measured include zero-sequence voltage and / or zero-sequence current.

[0125] The three-phase voltages UA, UB, and UC are extracted from the voltage waveform to be tested, and the average value of the three-phase voltage is calculated to confirm whether there is a zero-sequence voltage. The formula is as follows: U0 = (UA + UB + UC) / 3; In an ideal three-phase balanced system, the three-phase voltages have the following characteristics:

[0126] 1. The amplitude is the same. The voltage amplitudes of the three phase lines are the same;

[0127] 2. The phase difference is 120°, and the phase difference between every two phases is 120.

[0128] If the three-phase voltage is represented in the form of a vector, the phasor diagram of the three-phase voltage is an equilateral triangle, and the vector sum of the three-phase voltage is zero. Specifically, at any time, the three-phase voltages UA, UB, and UC satisfy: UA+UB+UC=0.

[0129] Therefore, when the calculated average value of the three-phase voltage is not zero, it can be confirmed that there is a zero-sequence voltage; when the average value is zero, it is confirmed that the circuit is normal. The three-phase currents IA, IB, and IC are extracted through the current waveform to be measured, and the average value of the three-phase current is calculated to confirm whether there is a zero-sequence current. The calculation formula and principle are the same as those for voltage. Optionally, a zero-sequence current transformer can also be used to detect the zero-sequence current. For example, the three-phase conductor is passed through a toroidal transformer to monitor the sum of the three-phase currents. If the sum of the three-phase currents is not zero, the zero-sequence current transformer will output a corresponding zero-sequence current signal.

[0130] In some embodiments, when the existence of zero-sequence voltage is confirmed, whether the fault occurs near the voltage zero point is confirmed based on the measured voltage waveform. When it is confirmed that the fault occurs near the voltage zero point and the distribution line is grounded through an arc suppression coil, and when a single-phase grounding fault is determined based on the zero-sequence voltage based on a steady-state algorithm, fault diagnosis is performed based on the phase asymmetry method to obtain the location of the fault.

[0131] Since the voltage is near zero when a fault occurs, the values ​​of zero-sequence voltage and zero-sequence current are not 0 but are very small. The transient algorithm cannot accurately identify the fault. Therefore, the steady-state algorithm is used to determine whether a fault occurs.

[0132] However, when there is a grounding of the arc suppression coil in the distribution line, due to the compensation effect of the arc suppression coil, only the zero-sequence voltage can be detected at this time. Therefore, the steady-state algorithm is used to determine whether a fault occurs based on the zero-sequence voltage, but since the zero-sequence current cannot be detected, the location of the fault cannot be determined. At this time, the phase asymmetry method is used for auxiliary judgment to determine whether the fault occurs inside or outside the boundary.

[0133] Specifically, the direction of current flow can be determined by the phase asymmetry method to determine whether the fault occurs inside or outside the boundary.

[0134] In some embodiments, when it is confirmed that the fault occurs near the voltage zero point and high-resistance grounding is determined based on the amplitude of the zero-sequence voltage, a steady-state algorithm is used to perform fault diagnosis based on the zero-sequence voltage and zero-sequence current to obtain a steady-state fault diagnosis result; a phase asymmetry method is used to perform fault diagnosis based on the phase current and phase voltage to obtain a phase asymmetry diagnosis result.

[0135] In some embodiments, the larger the amplitude of the zero-sequence voltage, the smaller the grounding resistance after the fault occurs, which is less than 2kV. The smaller the amplitude of the zero-sequence voltage, the larger the grounding resistance. For example, if it is a metal grounding fault, its zero-sequence voltage is generally around 5774V. If it is a high-resistance grounding fault (such as a transmission line overlapping a tree), the zero-sequence voltage is generally 300-500V.

[0136] Furthermore, since the fault diagnosis accuracy of the steady-state algorithm and the phase asymmetry method is low in the case of a high-resistance grounding fault, the present application can further combine the pre-trained fault diagnosis model for fault diagnosis on this basis, and use weights to calculate the corresponding results of the steady-state algorithm, phase asymmetry algorithm and fault diagnosis model to obtain the final fault diagnosis result.

[0137] In some embodiments, when it is confirmed that the fault occurs at a non-zero voltage point and the neutral point of the distribution line is not grounded, a steady-state algorithm is used to perform fault diagnosis based on the zero-sequence voltage and the zero-sequence current to obtain a third steady-state fault diagnosis result; a transient algorithm is used to perform fault diagnosis to obtain a third transient fault diagnosis result; when the third steady-state fault diagnosis result and the third transient fault diagnosis result both indicate the existence of a single-phase grounding fault, it is confirmed that a single-phase grounding fault occurs in the distribution line, or when both indicate that there is no fault, it is confirmed that the distribution box circuit is normal;

[0138] When the third steady-state fault diagnosis result and the third transient fault diagnosis result are inconsistent, the phase asymmetry method is used to perform fault diagnosis based on the phase current and phase voltage to obtain the third phase asymmetry diagnosis result, and the third phase asymmetry diagnosis result is used as the final fault diagnosis result.

[0139] In some embodiments, when it is confirmed that the fault occurs at a non-zero voltage point and a high-resistance grounding occurs, a transient algorithm is used to perform fault diagnosis to obtain a fourth transient fault diagnosis result; a steady-state algorithm is used to perform fault diagnosis based on zero-sequence voltage and zero-sequence current to obtain a fourth steady-state fault diagnosis result; a phase asymmetry method is used to perform fault diagnosis based on phase current and phase voltage to obtain a fourth phase asymmetry diagnosis result; when the fourth transient fault diagnosis result indicates that a single-phase grounding fault occurs in the distribution line, and the fourth steady-state fault diagnosis result and / or the fourth phase asymmetry diagnosis result indicate that a single-phase grounding fault occurs in the distribution line, it is confirmed that a single-phase grounding fault occurs in the distribution line; when the fourth transient fault diagnosis result indicates that a single-phase grounding fault occurs in the distribution line, and the fourth steady-state fault diagnosis result and the fourth phase asymmetry diagnosis result indicate that no faults occur in the distribution line, it is confirmed that the distribution line is normal.

[0140] In some embodiments, the technical difficulties in single-phase grounding fault identification are solved through the organic combination of steady-state algorithm, transient algorithm and phase asymmetry method. Especially in the detection of arc suppression coil grounding system and high-resistance grounding fault, this scheme significantly improves the accuracy and robustness.

[0141] The following continues to describe the exemplary structure of the circuit fault detection device 455 provided in the embodiment of the present application implemented as a software module. In some embodiments, Figure 2 As shown, the software modules in the fault detection device 455 of the circuit stored in the memory 450 may include: a waveform detection module, which is used to perform waveform detection on the waveform to be detected of the circuit to be detected to obtain a waveform detection result; a mode determination module, which is used to determine at least one target fault detection mode corresponding to the circuit to be detected from a plurality of preset fault detection modes based on the waveform detection result; a fault detection module, which is used to perform fault detection on the circuit to be detected according to each of the target fault detection modes, respectively, to obtain a fault detection result corresponding to each of the target fault detection modes; a result determination module, which is used to determine the target fault detection result of the circuit to be detected based on each of the fault detection results, and the target fault detection result is used to indicate whether the circuit to be detected has a fault, and the fault position of the fault in the circuit to be detected when the fault exists.

[0142] In some embodiments, the waveform to be detected includes a voltage waveform to be detected and a current waveform to be detected, and the waveform detection results include a zero-sequence current detection result, a zero-sequence voltage detection result and a voltage zero-crossing detection result; the above-mentioned waveform detection module is also used to perform waveform detection on the voltage waveform to be detected of the circuit to be detected to obtain the zero-sequence voltage detection result, and the zero-sequence voltage detection result is used to indicate whether there is a zero-sequence voltage in the voltage waveform to be detected; perform waveform detection on the current waveform to be detected of the circuit to be detected to obtain the zero-sequence current detection result, and the zero-sequence current detection result is used to indicate whether there is a zero-sequence current in the current waveform to be detected; perform zero-crossing detection on the voltage waveform to be detected of the circuit to be detected to obtain the voltage zero-crossing detection result, and the voltage zero-crossing detection result is used to indicate whether the voltage waveform to be detected passes through a zero point.

[0143] In some embodiments, the above-mentioned waveform detection module is also used to, for each detection moment in the voltage waveform to be detected, if the average value of each phase voltage corresponding to the detection moment in the voltage waveform to be detected is not zero, determine the detection moment as the first detection moment; if there is at least one of the first detection moments among the detection moments, determine the zero-sequence voltage detection result as the existence of the zero-sequence voltage in the voltage waveform to be detected; if the first detection moment does not exist among the detection moments, determine the zero-sequence voltage detection result as the absence of the zero-sequence voltage in the voltage waveform to be detected.

[0144] In some embodiments, the above-mentioned waveform detection module is also used to, for each detection moment in the current waveform to be detected, if the average value of each phase current corresponding to the detection moment in the current waveform to be detected is not zero, then determine the detection moment as the second detection moment; if there is at least one second detection moment among the detection moments, then determine the zero-sequence current detection result as the existence of the zero-sequence current in the current waveform to be detected; if the second detection moment does not exist among the detection moments, then determine the zero-sequence current detection result as the absence of the zero-sequence current in the current waveform to be detected.

[0145] In some embodiments, the waveform to be detected includes a voltage waveform to be detected and a current waveform to be detected, and the waveform detection results include a zero-sequence current detection result, a zero-sequence voltage detection result and a voltage zero-crossing detection result; the above-mentioned method determination module is also used to determine at least one of the target fault detection methods corresponding to the circuit to be detected from the multiple preset fault detection methods based on the zero-sequence current detection result and the voltage zero-crossing detection result if the zero-sequence voltage detection result indicates that there is a zero-sequence voltage in the voltage waveform to be detected.

[0146] In some embodiments, the above-mentioned determination module is also used to determine the target fault detection result of the circuit to be detected as the absence of fault in the circuit to be detected if the zero-sequence voltage detection result indicates that the zero-sequence voltage does not exist in the voltage waveform to be detected.

[0147] In some embodiments, the preset fault detection method includes a steady-state detection method, a phase asymmetry detection method, a transient first half-wave detection method and an artificial intelligence detection method; the above-mentioned method determination module is also used to determine the steady-state detection method and the phase asymmetry detection method as the target fault detection method if the voltage zero-crossing detection result indicates that the voltage waveform to be detected crosses the zero point, and the zero-sequence current detection result indicates that the zero-sequence current does not exist in the current waveform to be detected.

[0148] In some embodiments, the preset fault detection method includes a steady-state detection method, a phase asymmetry detection method, a transient first half-wave detection method and an artificial intelligence detection method; the above-mentioned method determination module is also used to, if the voltage zero-crossing detection result indicates that the voltage waveform to be detected crosses the zero point, and the zero-sequence current detection result indicates that the zero-sequence current exists in the current waveform to be detected, then perform a high-resistance grounding detection on the circuit to be detected to obtain a high-resistance grounding detection result; if the high-resistance grounding detection result indicates that the circuit to be detected has a high-resistance grounding, then determine the steady-state detection method and the phase asymmetry detection method as the target fault detection method, or determine the steady-state detection method, the phase asymmetry detection method and the artificial intelligence detection method as the target fault detection method.

[0149] In some embodiments, the module determined in the above manner is also used to obtain the amplitude of the zero-sequence current, and compare the amplitude with a preset amplitude range to obtain a comparison result; if the comparison result indicates that the amplitude is within the preset amplitude range, the high-resistance grounding detection result is determined as the existence of high-resistance grounding in the circuit to be detected; if the comparison result indicates that the amplitude is not within the preset amplitude range, the high-resistance grounding detection result is determined as the absence of high-resistance grounding in the circuit to be detected.

[0150] In some embodiments, the above-mentioned method determination module is also used to, if the target fault detection method is the steady-state detection method, the phase asymmetry detection method and the artificial intelligence detection method, and each of the fault detection results indicates that there is a fault in the circuit to be detected, average the fault positions indicated by each of the fault detection results to obtain an average position; determine the target fault detection result as that there is a fault in the circuit to be detected, and the fault position of the fault in the circuit to be detected is the average position.

[0151] In some embodiments, the above-mentioned method determination module is also used to perform a high-resistance grounding detection on the circuit to be detected to obtain a high-resistance grounding detection result, and perform a neutral point grounding detection on the circuit to be detected to obtain a neutral point grounding detection result if the voltage zero-crossing detection result indicates that the voltage waveform to be detected has not passed through the zero point, and the zero-sequence current detection result indicates that the zero-sequence current exists in the current waveform to be detected. Based on the high-resistance grounding detection result and the neutral point grounding detection result, determine at least one of the target fault detection methods corresponding to the circuit to be detected from the multiple preset fault detection methods.

[0152] In some embodiments, the preset fault detection method includes a steady-state detection method, a phase asymmetry detection method, a transient first half-wave detection method and an artificial intelligence detection method; the above-mentioned method determination module is also used to determine the steady-state detection method and the transient first half-wave detection method as the target fault detection method if the high-resistance grounding detection result indicates that the circuit to be detected does not have high-resistance grounding, and the neutral point grounding detection result indicates that the circuit to be detected has an ungrounded neutral point.

[0153] In some embodiments, the target fault detection method is the steady-state detection method and the transient first half-wave detection method. The above-mentioned result determination module is also used to, if the fault detection results corresponding to the steady-state detection method and the transient first half-wave detection method respectively indicate different contents, then based on the phase asymmetry detection method, perform fault detection on the circuit to be detected, obtain a phase asymmetry detection result, and determine the phase asymmetry detection result as the target fault detection result; if the fault detection results corresponding to the steady-state detection method and the transient first half-wave detection method respectively indicate that the circuit to be detected has a fault, then the target fault detection result is determined as the circuit to be detected has a fault; if the fault detection results corresponding to the steady-state detection method and the transient first half-wave detection method respectively indicate that the circuit to be detected does not have a fault, then the target fault detection result is determined as the circuit to be detected does not have a fault.

[0154] In some embodiments, the preset fault detection method includes a steady-state detection method, a phase asymmetry detection method, a transient first half-wave detection method and an artificial intelligence detection method; the above-mentioned method determination module is also used to determine the steady-state detection method, the phase asymmetry detection method and the transient first half-wave detection method as the target fault detection method if the high-resistance grounding detection result indicates that the circuit to be detected has high-resistance grounding, and the neutral point grounding detection result indicates that the circuit to be detected has an ungrounded neutral point.

[0155] In some embodiments, the target fault detection method is the steady-state detection method, the phase asymmetry detection method and the transient first half-wave detection method. The above-mentioned result determination module is also used to determine the target fault detection result as the existence of a fault in the circuit to be detected if the fault detection result corresponding to the transient first half-wave detection method indicates that there is a fault in the circuit to be detected, and the fault detection result corresponding to at least one of the steady-state detection method and the phase asymmetry detection method indicates that there is a fault in the circuit to be detected; if the fault detection result corresponding to the transient first half-wave detection method indicates that there is a fault in the circuit to be detected, and the fault detection results corresponding to the steady-state detection method and the phase asymmetry detection method both indicate that there is no fault in the circuit to be detected, then the target fault detection result is determined as the existence of a fault in the circuit to be detected.

[0156] The embodiment of the present application provides a computer program product, which includes a computer program or a computer executable instruction, and the computer program or the computer executable instruction is stored in a computer readable storage medium. The processor of the electronic device reads the computer executable instruction from the computer readable storage medium, and the processor executes the computer executable instruction, so that the electronic device executes the circuit fault detection method described in the embodiment of the present application.

[0157] The embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, the processor will be caused to execute the circuit fault detection method provided by the embodiment of the present application, for example, Figure 3 A fault detection method of the circuit is shown.

[0158] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEP ROM, flash memory, magnetic surface storage, optical disk, or CD-ROM; or it may be various electronic devices including one or any combination of the above memories.

[0159] In some embodiments, computer executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0160] As an example, computer-executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file storing other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0161] As an example, computer executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one site, or on multiple electronic devices distributed at multiple sites and interconnected by a communication network.

[0162] The above is only an embodiment of the present application and is not intended to limit the protection scope of the present application. Any modifications, equivalent substitutions and improvements made within the spirit and scope of the present application are included in the protection scope of the present application.

Claims

1. A circuit fault detection method, characterized in that: The method comprises: Performing waveform detection on the waveform to be detected of the circuit to be detected to obtain a waveform detection result; Based on the waveform detection result, determining at least one target fault detection mode corresponding to the circuit to be detected from a plurality of preset fault detection modes; According to each of the target fault detection modes, fault detection is performed on the circuit to be detected to obtain a fault detection result corresponding to each of the target fault detection modes; Based on each of the fault detection results, a target fault detection result of the circuit to be detected is determined, and the target fault detection result is used to indicate whether there is a fault in the circuit to be detected and the fault location of the fault in the circuit to be detected when the fault exists.

2. The method according to claim 1, characterized in that The waveform to be detected includes a voltage waveform to be detected and a current waveform to be detected, and the waveform detection result includes a zero-sequence current detection result, a zero-sequence voltage detection result and a voltage zero-crossing detection result; The step of performing waveform detection on the waveform to be detected of the circuit to be detected to obtain a waveform detection result includes: Performing waveform detection on the voltage waveform to be detected of the circuit to be detected to obtain the zero-sequence voltage detection result, wherein the zero-sequence voltage detection result is used to indicate whether there is a zero-sequence voltage in the voltage waveform to be detected; Performing waveform detection on the current waveform to be detected of the circuit to be detected to obtain the zero-sequence current detection result, wherein the zero-sequence current detection result is used to indicate whether there is a zero-sequence current in the current waveform to be detected; A zero-crossing detection is performed on the voltage waveform to be detected of the circuit to be detected to obtain the voltage zero-crossing detection result, and the voltage zero-crossing detection result is used to indicate whether the voltage waveform to be detected passes through a zero point.

3. The method according to claim 2, characterized in that The step of performing waveform detection on the voltage waveform to be detected of the circuit to be detected to obtain a zero-sequence voltage detection result includes: For each detection moment in the voltage waveform to be detected, if the average value of each phase voltage corresponding to the detection moment in the voltage waveform to be detected is not zero, then the detection moment is determined to be the first detection moment; If there is at least one of the first detection moments in the detection moments, determining the zero-sequence voltage detection result as the existence of the zero-sequence voltage in the voltage waveform to be detected; If the first detection time does not exist in the detection time, the zero-sequence voltage detection result is determined as the zero-sequence voltage does not exist in the voltage waveform to be detected.

4. The method according to claim 2, characterized in that: The performing waveform detection on the current waveform to be detected of the circuit to be detected to obtain the zero-sequence current detection result includes: For each detection moment in the current waveform to be detected, if the average value of each phase current corresponding to the detection moment in the current waveform to be detected is not zero, then determining the detection moment as the second detection moment; If there is at least one of the second detection moments in the detection moments, determining the zero-sequence current detection result as the existence of the zero-sequence current in the current waveform to be detected; If the second detection moment does not exist in the detection moments, the zero-sequence current detection result is determined as the zero-sequence current does not exist in the current waveform to be detected.

5. The method according to claim 1, characterized in that The waveform to be detected includes a voltage waveform to be detected and a current waveform to be detected, and the waveform detection result includes a zero-sequence current detection result, a zero-sequence voltage detection result and a voltage zero-crossing detection result; The determining, based on the waveform detection result, at least one target fault detection method corresponding to the circuit to be detected from a plurality of preset fault detection methods includes: If the zero-sequence voltage detection result indicates that there is a zero-sequence voltage in the voltage waveform to be detected, then based on the zero-sequence current detection result and the voltage zero-crossing detection result, at least one target fault detection method corresponding to the circuit to be detected is determined from the multiple preset fault detection methods.

6. The method according to claim 5, characterized in that After performing waveform detection on the waveform to be detected of the circuit to be detected and obtaining the waveform detection result, the method further includes: If the zero-sequence voltage detection result indicates that the zero-sequence voltage does not exist in the voltage waveform to be detected, the target fault detection result of the circuit to be detected is determined as the circuit to be detected does not have a fault.

7. The method according to claim 5, characterized in that The preset fault detection methods include steady-state detection method, phase asymmetry detection method, transient first half-wave detection method and artificial intelligence detection method; The determining, based on the zero-sequence current detection result and the voltage zero-crossing detection result, at least one target fault detection mode corresponding to the circuit to be detected from the plurality of preset fault detection modes comprises: If the voltage zero-crossing detection result indicates that the voltage waveform to be detected crosses a zero point, and the zero-sequence current detection result indicates that the zero-sequence current does not exist in the current waveform to be detected, the steady-state detection mode and the phase asymmetry detection mode are determined as the target fault detection mode.

8. The method according to claim 5, characterized in that The preset fault detection methods include steady-state detection method, phase asymmetry detection method, transient first half-wave detection method and artificial intelligence detection method; The determining, based on the zero-sequence current detection result and the voltage zero-crossing detection result, at least one target fault detection mode corresponding to the circuit to be detected from the plurality of preset fault detection modes comprises: If the voltage zero-crossing detection result indicates that the voltage waveform to be detected crosses a zero point, and the zero-sequence current detection result indicates that the zero-sequence current exists in the current waveform to be detected, a high-resistance grounding detection is performed on the circuit to be detected to obtain a high-resistance grounding detection result; If the high-resistance grounding detection result indicates that the circuit to be detected has high-resistance grounding, the steady-state detection method and the phase asymmetry detection method are determined as the target fault detection method, or the steady-state detection method, the phase asymmetry detection method and the artificial intelligence detection method are determined as the target fault detection method.

9. The method according to claim 8, characterized in that The step of performing high-resistance grounding detection on the circuit to be detected to obtain a high-resistance grounding detection result includes: Acquiring the amplitude of the zero-sequence current, and comparing the amplitude with a preset amplitude interval to obtain a comparison result; If the comparison result indicates that the amplitude is within the preset amplitude range, the high-resistance grounding detection result is determined as a high-resistance grounding exists in the circuit to be detected; If the comparison result indicates that the amplitude is not within the preset amplitude range, the high-resistance grounding detection result is determined as the high-resistance grounding does not exist in the circuit to be detected.

10. The method according to claim 8, characterized in that The step of determining a target fault detection result of the circuit to be detected based on each of the fault detection results includes: If the target fault detection mode is the steady-state detection mode, the phase asymmetry detection mode, and the artificial intelligence detection mode, and each of the fault detection results indicates that the circuit to be detected has a fault, the fault positions indicated by each of the fault detection results are averaged to obtain an average position; The target fault detection result is determined as follows: a fault exists in the circuit to be detected, and a fault position of the fault in the circuit to be detected is the average position.

11. The method according to claim 5, characterized in that The determining, based on the zero-sequence current detection result and the voltage zero-crossing detection result, at least one target fault detection mode corresponding to the circuit to be detected from the plurality of preset fault detection modes comprises: If the voltage zero-crossing detection result indicates that the voltage waveform to be detected does not cross the zero point, and the zero-sequence current detection result indicates that the zero-sequence current exists in the current waveform to be detected, a high-resistance grounding detection is performed on the circuit to be detected to obtain a high-resistance grounding detection result, and a neutral point grounding detection is performed on the circuit to be detected to obtain a neutral point grounding detection result; Based on the high-resistance grounding detection result and the neutral point grounding detection result, at least one target fault detection mode corresponding to the circuit to be detected is determined from the plurality of preset fault detection modes.

12. The method according to claim 11, characterized in that The preset fault detection methods include steady-state detection method, phase asymmetry detection method, transient first half-wave detection method and artificial intelligence detection method; The determining, based on the high-resistance grounding detection result and the neutral point grounding detection result, at least one target fault detection mode corresponding to the circuit to be detected from the plurality of preset fault detection modes includes: If the high-resistance grounding detection result indicates that the circuit to be detected does not have high-resistance grounding, and the neutral point grounding detection result indicates that the neutral point of the circuit to be detected is not grounded, then the steady-state detection mode and the transient first half-wave detection mode are determined as the target fault detection mode.

13. The method according to claim 12, characterized in that The target fault detection mode is the steady-state detection mode and the transient first half-wave detection mode, and determining the target fault detection result of the circuit to be detected based on each of the fault detection results includes: If the contents indicated by the fault detection results corresponding to the steady-state detection mode and the transient first half-wave detection mode are different, then based on the phase asymmetry detection mode, a fault detection is performed on the circuit to be detected to obtain a phase asymmetry detection result, and the phase asymmetry detection result is determined as the target fault detection result; If the fault detection results corresponding to the steady-state detection mode and the transient first half-wave detection mode respectively indicate that the circuit to be detected has a fault, the target fault detection result is determined as the circuit to be detected has a fault; If the fault detection results corresponding to the steady-state detection method and the transient first half-wave detection method respectively indicate that there is no fault in the circuit to be detected, the target fault detection result is determined as there is no fault in the circuit to be detected.

14. The method according to claim 11, characterized in that The preset fault detection methods include steady-state detection method, phase asymmetry detection method, transient first half-wave detection method and artificial intelligence detection method; The determining, based on the high-resistance grounding detection result and the neutral point grounding detection result, at least one target fault detection mode corresponding to the circuit to be detected from the plurality of preset fault detection modes includes: If the high-resistance grounding detection result indicates that the circuit to be detected has high-resistance grounding, and the neutral point grounding detection result indicates that the neutral point of the circuit to be detected is not grounded, then the steady-state detection method, the phase asymmetry detection method and the transient first half-wave detection method are determined as the target fault detection method.

15. The method according to claim 14, characterized in that The target fault detection mode is the steady-state detection mode, the phase asymmetry detection mode and the transient first half-wave detection mode, and the target fault detection result of the circuit to be detected is determined based on each of the fault detection results, including: If the fault detection result corresponding to the transient first half-wave detection mode indicates that the circuit to be detected has a fault, and the fault detection result corresponding to at least one of the steady-state detection mode and the phase asymmetry detection mode indicates that the circuit to be detected has a fault, then the target fault detection result is determined as the circuit to be detected has a fault; If the fault detection result corresponding to the transient first half-wave detection method indicates that there is a fault in the circuit to be detected, and the fault detection results corresponding to the steady-state detection method and the phase asymmetry detection method both indicate that there is no fault in the circuit to be detected, then the target fault detection result is determined as there is no fault in the circuit to be detected.

16. A circuit fault detection device, characterized in that: The device comprises: A waveform detection module is used to perform waveform detection on the waveform to be detected of the circuit to be detected to obtain a waveform detection result; A method determination module, used to determine at least one target fault detection method corresponding to the circuit to be detected from a plurality of preset fault detection methods based on the waveform detection result; A fault detection module, used to perform fault detection on the circuit to be detected according to each of the target fault detection modes, and obtain a fault detection result corresponding to each of the target fault detection modes; The result determination module is used to determine the target fault detection result of the circuit to be detected based on each of the fault detection results, and the target fault detection result is used to indicate whether there is a fault in the circuit to be detected and the fault location of the fault in the circuit to be detected when the fault exists.

17. An electronic device, characterized in that: The electronic device comprises: A memory for storing computer executable instructions or computer programs; A processor, configured to implement the circuit fault detection method according to any one of claims 1 to 15 when executing the computer executable instructions or computer program stored in the memory.

18. A computer-readable storage medium storing computer-executable instructions or a computer program, characterized in that: When the computer executable instructions or computer program are executed by a processor, the circuit fault detection method according to any one of claims 1 to 15 is implemented.

19. A computer program product comprising a computer program or computer executable instructions, characterized in that: When the computer program or computer executable instructions are executed by a processor, the fault detection method of the circuit according to any one of claims 1 to 15 is implemented.

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