Circuit breaker real-time fault monitoring method, system and device and storage medium

Abstract

The invention relates to a real-time fault monitoring method for a circuit breaker. The method comprises the following steps: acquiring a current signal of a zero-sequence current sensor; whether the current signal is abnormal or not is judged, and if yes, the current signal is decomposed into multiple frequency bands through wavelet packet transformation; extracting a high-frequency component and a low-frequency component in the frequency band, and determining whether to trigger a fault early warning condition according to the energy of the high-frequency component and the low-frequency component; if the fault early warning condition is triggered, acquiring a voltage signal of a voltage sensor; and performing FFT harmonic component analysis on the voltage signal, extracting waveform features, and determining the fault type of the circuit breaker by using a trained fault feature model. According to the invention, the current is firstly analyzed to obtain the preliminary analysis of whether the circuit breaker has a fault, and then the voltage is finely analyzed, so that the fault type is determined, the fault judgment time is greatly shortened, the fault type confirmation efficiency is improved, the fault generation trend can be analyzed, and the fault can be effectively handled.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit breakers, and in particular to a method, system, device and storage medium for real-time fault monitoring of circuit breakers. Background Art

[0002] Amidst the global energy transition, traditional power grids face unprecedented challenges. With the large-scale integration of distributed energy sources like solar and wind, the intermittent and volatile nature of their generation is significantly impacting the stability and reliability of power grids. At the same time, consumers are increasingly demanding the quality and stability of their power supply, exacerbating the limitations of traditional power grids in data processing, fault diagnosis, and energy management. Statistics show that global economic losses from power grid failures reach billions of dollars annually, and energy loss poses an urgent challenge. Against this backdrop, smart grids, a key area of ​​transformation and upgrading for the power industry, are emerging as a crucial approach to addressing these challenges.

[0003] As a key component of the smart grid, traditional circuit breakers currently used in distribution lines lack high-precision sensing and data processing capabilities. This results in delayed fault response, lengthy fault type analysis, high processor load, and an inability to handle multiple circuit breaker scenarios. Summary of the Invention

[0004] The object of the present invention is to provide a real-time fault monitoring method for a circuit breaker to solve the problems raised in the above background technology.

[0005] A first aspect of the present invention provides a method for real-time fault monitoring of a circuit breaker, comprising:

[0006] S1, obtaining the current signal of the zero-sequence current sensor;

[0007] S2. Determine whether the current signal is abnormal. If abnormal, decompose the current signal into multiple frequency bands using wavelet packet transform.

[0008] S3, extracting high-frequency components and low-frequency components in the frequency band, and determining whether a fault warning condition is triggered according to the energy of the high-frequency components and the low-frequency components;

[0009] S4. If the fault warning condition is triggered, obtain the voltage signal of the voltage sensor;

[0010] S5. Perform FFT harmonic component analysis on the voltage signal to extract waveform features;

[0011] S6. Input the waveform characteristics, zero-sequence current, voltage value corresponding to the voltage signal, high-frequency component and low-frequency component into a trained fault feature model, and use the trained fault feature model to determine the fault type of the circuit breaker.

[0012] In a possible implementation, step S6 includes:

[0013] If the energy of the low-frequency component is high and the waveform characteristic is harmonic-free, the fault type is a metallic ground fault;

[0014] If the zero-sequence current and the voltage value are in a linear relationship, and the harmonic content in the waveform characteristic is less than the harmonic threshold, then the fault type is a resistive ground fault;

[0015] If the energy of the high-frequency component is high and there is an intermittent arc extinction feature in the waveform feature, the fault type is an arc grounding fault.

[0016] In a possible implementation manner, after step S5, the method further includes:

[0017] According to the preset time interval, the temperature sensor is used to collect the real-time temperature data of the circuit breaker;

[0018] Temperature rise data is obtained according to the real-time temperature data, and the temperature rise data is input into a trained fault feature model.

[0019] In a possible implementation manner, after step S4, the method further includes:

[0020] It is determined whether the voltage value of the voltage signal exceeds a voltage threshold. If so, a voltage-dividing capacitor is used to divide the voltage signal to obtain a secondary voltage, and the secondary voltage is used to perform FTT harmonic analysis.

[0021] A second aspect of the present invention provides a circuit breaker real-time fault monitoring system, comprising:

[0022] The circuit breaker body is provided with a zero-sequence current sensor, a voltage sensor and a temperature sensor.

[0023] The zero-sequence current sensor is used to monitor and collect the line zero-sequence current, the voltage sensor is used to monitor and collect the line voltage, and the temperature sensor is used to monitor and collect the line temperature;

[0024] An edge computing module, connected to the circuit breaker body via a data line, comprising:

[0025] A data preprocessing submodule, configured to perform wavelet analysis and FTT waveform analysis on the zero-sequence current and voltage collected from the circuit breaker body;

[0026] The model training submodule is used to train the model using historical data to obtain a fault feature model;

[0027] A fault diagnosis submodule is used to input the waveform characteristics obtained after the zero-sequence current after wavelet analysis and the FTT waveform analysis into the fault characteristic model to obtain the fault type;

[0028] The fault processing submodule is used to send a tripping instruction to the circuit breaker body to isolate the fault according to the fault type determined by the fault diagnosis submodule, and send fault handling and warning information to the feeder terminal;

[0029] The backup power submodule is used to provide power for the opening and closing operations of the circuit breaker.

[0030] In one possible embodiment, the circuit breaker body also includes a current transformer coil, which is used to convert the current signal collected by the zero-sequence current sensor into an analog voltage signal suitable for analog-to-digital conversion. The edge computing module is provided with an analog-to-digital converter, which converts the analog voltage signal into a digital signal.

[0031] In a possible implementation, the system further includes a feeder terminal, the feeder terminal includes a database, and the database is used to store voltage data, current data, and temperature data collected by the circuit breaker body as historical data for model training by the model training submodule.

[0032] In a possible implementation manner, an alarm transmitter is provided on the feeder terminal, and the alarm transmitter is used to send the fault type to a terminal where a maintenance person is located.

[0033] A third aspect of the present invention provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for real-time fault monitoring of a circuit breaker as described in the first aspect of the present invention is implemented.

[0034] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the method for real-time fault monitoring of a circuit breaker according to the first aspect of the present invention is implemented.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] 1. By first analyzing the current, we can get a preliminary analysis of whether the circuit breaker has a fault, and then conduct a detailed analysis of the voltage to determine the fault type, which greatly improves the time of fault judgment and the efficiency of fault type confirmation.

[0037] 2. By first screening the fault type based on the current, and then confirming the fault type based on the voltage using the fault characteristic model, the load of the edge computing module processor can be effectively reduced and the efficiency of the edge computing module can be improved.

[0038] 3. Using temperature rise as the basis for fault judgment instead of temperature can issue a fault warning when a fault is about to occur, thus reducing the probability of fault occurrence;

[0039] 4. The fault feature model can be used to analyze existing faults and predict the trend of impending faults, thereby providing early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 Schematic diagram of the flow of the circuit breaker real-time fault monitoring method of the present invention;

[0041] Figure 2 This is a schematic diagram of the structure of the circuit breaker real-time fault monitoring system of the present invention.

[0042] Figure 3 This is a structural diagram of the circuit breaker body and edge computing module of the circuit breaker real-time fault monitoring system of the present invention;

[0043] Figure 4 FIG. 4 is a schematic diagram of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0045] It should be noted that the serial numbers assigned to the components in the embodiments of the present invention, such as "first" and "second", are only used to distinguish the objects being described and do not have any order or technical meaning.

[0046] like Figure 1 As shown, a real-time fault monitoring method for a circuit breaker includes:

[0047] S1, obtaining the current signal of the zero-sequence current sensor;

[0048] The zero-sequence current sensor is installed on the line-in terminal of the circuit breaker body using a coil winding. It collects the real-time zero-sequence current of the circuit breaker according to a preset time interval. For example, the zero-sequence current signal is collected every 10 milliseconds.

[0049] S2. Determine whether the current signal is abnormal. If abnormal, decompose the current signal into multiple frequency bands using wavelet packet transform.

[0050] In this invention, an abnormal current signal refers to the presence of a zero-sequence current vector. When the circuit breaker is operating normally, the vector sum of the three-phase currents is zero. When a ground fault occurs in the system, the current in the faulted phase increases sharply, while the currents in the other phases decrease. This imbalance causes the vector sum of the three-phase currents to no longer be zero, but instead equal the fault current.

[0051] When wavelet packet transform is used, the following steps are specifically adopted: first, the current data sequence is divided into odd sample sequence and even sample sequence, and then the frequency band signals of each layer of wavelet packet decomposition are calculated through the predictor and updater.

[0052] Decomposition process: The signal is downsampled through low-pass and high-pass filters to obtain approximate coefficients and detail coefficients.

[0053] Reconstruction process: The approximate coefficients and detail coefficients are processed again with low-pass and high-pass filters until the preset number of decomposition levels is reached.

[0054] In the present invention, the number of frequency bands is at least two, namely, a high frequency band and a low frequency band. The specific values ​​of the high frequency band and the low frequency band are not particularly limited in the present invention. For example, the high frequency band is 100-200 Hz, and the low frequency band is 0-100 Hz.

[0055] S3, extracting high-frequency components and low-frequency components in the frequency band, and determining whether a fault warning condition is triggered according to the energy of the high-frequency components and the low-frequency components;

[0056] In this step, the high-frequency component and low-frequency component correspond to the high-frequency and low-frequency bands in the previous step. If the energy of the high-frequency component surges above a preset energy threshold during a certain period, the high-frequency component triggers a fault warning condition. Similarly, if the energy of the low-frequency component surges above a preset energy threshold during a certain period, the low-frequency component triggers a fault warning condition. Generally, a suspected fault corresponding to a surge in the high-frequency component's energy is an arc ground fault, while a suspected fault corresponding to a surge in the low-frequency component's energy is a metallic ground fault.

[0057] In this invention, wavelet packet transform is first used to analyze the current to obtain a preliminary judgment of the fault type, and then the voltage signal is analyzed and verified in a targeted manner. This can effectively save the steps of fault analysis and can quickly and accurately determine the fault type. It is no longer necessary to collect all current and voltage signals and then integrate them into the fault model for comprehensive analysis, which saves data analysis time.

[0058] S4. If the fault warning condition is triggered, obtain the voltage signal of the voltage sensor;

[0059] Similar to the current sensor, the voltage sensor also collects real-time voltage data from the circuit breaker at preset time intervals. In this invention, the voltage sensor uses a zero-sequence voltage sensor, the two ends of which are connected to the incoming wires of the circuit breaker body and the edge computing module respectively.

[0060] S5. Perform FFT harmonic component analysis on the voltage signal to extract waveform features;

[0061] When performing waveform analysis, the first step is to analyze whether there are harmonics in the waveform, and then analyze whether there are intermittent arc extinction characteristics. Different waveform characteristics correspond to different fault types.

[0062] S6. Input the waveform characteristics, zero-sequence current, voltage value corresponding to the voltage signal, high-frequency component and low-frequency component into a trained fault feature model, and use the trained fault feature model to determine the fault type of the circuit breaker.

[0063] In the present invention, a fault signature model can be trained using a large amount of historical fault data and established using ATP-EMTP software. Various neural network algorithms can be employed during model training to correct the model. Furthermore, in the present invention, different fault signature models can be established for different faults. Specifically, multiple fault signature models can be used. Based on the preliminary fault analysis results obtained in step S3, the fault signature model that matches the results is prioritized for matching. If a match is found, the fault type corresponding to the preliminary fault analysis results is the circuit breaker fault type. If a match is found, each parameter is then input into other models for analysis and matching, ultimately determining the fault type corresponding to the circuit breaker. This approach significantly reduces the time required to determine the fault type, facilitating timely fault handling. It also reduces processor load, facilitating efficient processor operation.

[0064] At the same time, based on the changes in real-time voltage, current and other monitoring data, the fault analysis model can be used to perform trend analysis. When the voltage or current reaches the preset alarm threshold, an early warning message will be issued to analyze and predict the trend of circuit breaker failures, thereby playing a preventive role when failures occur.

[0065] In the present invention, common fault types are as follows:

[0066] If the energy of the low-frequency component is high and the waveform characteristic is harmonic-free, the fault type is a metallic ground fault; such a fault is generally accompanied by a sudden voltage drop.

[0067] If the zero-sequence current and the voltage value are in a linear relationship (I0∝U0), and the harmonic content in the waveform characteristic is less than the harmonic threshold, then the fault type is a resistive ground fault;

[0068] If the energy of the high-frequency component is high and there is an intermittent arc extinction feature in the waveform feature, the fault type is an arc grounding fault.

[0069] In the circuit breaker, it is also necessary to monitor the temperature to detect the fault type in which the voltage and current do not change significantly. Specifically, after step S5, the following steps are further included:

[0070] According to the preset time interval, the temperature sensor is used to collect the real-time temperature data of the circuit breaker;

[0071] Temperature rise data is obtained according to the real-time temperature data, and the temperature rise data is input into a trained fault feature model.

[0072] In the present invention, temperature is not used as a parameter to determine the type of fault. Instead, temperature rise is used as a parameter to determine the type of fault. This is because the directly collected temperature value (such as 40°C) cannot reflect the changing trend of the equipment's operating status, while the temperature rise (i.e., the increase relative to the ambient temperature, such as ΔT = 45°C) can more intuitively reflect the heating situation of the equipment. For example, a sudden increase in the internal temperature of a circuit breaker may indicate insulation aging or poor contact. By calculating the temperature rise, the interference of ambient temperature fluctuations can be eliminated, the accuracy of fault judgment can be improved, and faults can be prevented.

[0073] If an abnormal temperature rise rate (such as ΔT / Δt exceeding a threshold) or a temperature rise value continuously exceeding a safe range (such as ΔT>80°C) is detected, it will be matched with the corresponding fault feature model, such as the arc overheating model.

[0074] Furthermore, because the voltage from the distribution network to the circuit breaker is generally 10kV to 35kV, if the circuit breaker does not perform voltage division, it is impossible to apply the edge computing module to analyze the circuit breaker fault. Excessive voltage will damage the components used for analysis. Therefore, before step S5, the following steps should also be included: determine whether the voltage value of the voltage signal exceeds the voltage threshold. If it exceeds, apply the voltage divider capacitor to divide the voltage signal to obtain a secondary voltage, and apply the secondary voltage to perform FTT harmonic analysis. The voltage divider capacitor can be connected in parallel with the voltage sensor to divide the voltage, so as to ensure that the voltage reaching the data analysis module is within a safe range. Generally, the voltage after the voltage divider capacitor divides the voltage is 0 to 10V.

[0075] In the present invention, the voltage divider capacitor also has the following functions:

[0076] Overvoltage / undervoltage protection: Real-time monitoring of the output voltage of the power-taking capacitor. When the threshold is exceeded, protection is triggered, cutting off the charging circuit or switching to the backup power supply.

[0077] Disconnection detection: Detects the status of the secondary circuit of the power-taking capacitor. If a disconnection occurs, an alarm will be immediately triggered and the backup power supply will be activated to ensure that the protection function does not fail.

[0078] Backup power supply coordination: When power is restored after a line outage, the backup battery is charged first to avoid damage to the module due to continuous power consumption of the energy storage circuit.

[0079] like Figure 2 As shown, the second aspect of the present invention provides a circuit breaker real-time fault monitoring system, comprising:

[0080] The circuit breaker body 10 is provided with a zero-sequence current sensor, a voltage sensor and a temperature sensor.

[0081] The zero-sequence current sensor is used to monitor and collect the line zero-sequence current, the voltage sensor is used to monitor and collect the line voltage, and the temperature sensor is used to monitor and collect the line temperature;

[0082] Edge computing module 20, such as Figure 3 As shown, the edge computing module is connected to the circuit breaker body via a data line, which includes:

[0083] The data preprocessing submodule 21 is used to perform wavelet analysis and FTT waveform analysis on the zero-sequence current and voltage collected from the circuit breaker body;

[0084] The model training submodule 22 is used to train the model using historical data to obtain a fault feature model;

[0085] The fault diagnosis submodule 23 is used to input the waveform characteristics obtained after the zero-sequence current and the FTT waveform analysis into the fault characteristic model to obtain the fault type;

[0086] The fault processing submodule 24 is used to send a tripping instruction to the circuit breaker body to isolate the fault according to the fault type determined by the fault diagnosis submodule, and send fault handling and warning information to the feeder terminal;

[0087] The backup power submodule 25 is used to provide power for the opening and closing operations of the circuit breaker.

[0088] The circuit breaker body also includes a current transformer coil, which is used to convert the current signal collected by the zero-sequence current sensor into an analog voltage signal suitable for analog-to-digital conversion. The edge computing module is provided with an analog-to-digital converter, which converts the analog voltage signal into a digital signal. The current signal output by the current transformer (such as 0-5A on the secondary side) needs to be converted into a voltage signal (such as 0-5V) because the ADC chip that performs analog-to-digital conversion usually uses voltage as input. In addition, direct access to the current signal may cause measurement errors due to impedance mismatch, while the voltage signal is easier to process in subsequent circuits. The current transformer coil and the zero-sequence current sensor coil are installed in series on the conductive rod at the incoming line end of the circuit breaker body, so that the current signal can be converted into a voltage signal that can be converted into an analog-to-digital conversion at any time.

[0089] The monitoring system also includes a feeder terminal 30, which includes a database for storing voltage, current, and temperature data collected by the circuit breaker as historical data for model training by the model training submodule. The feeder terminal is equipped with an alarm transmitter for transmitting the fault type to a maintenance personnel terminal.

[0090] In this system, after determining the fault type, the edge computing module 20 issues a trip command to the circuit breaker, simultaneously sending a fault warning message to the feeder terminal. The feeder terminal then transmits the fault warning message via an alarm transmitter to the mobile terminal or PC of the corresponding maintenance personnel, thus achieving a timely response to the fault.

[0091] In one embodiment, Figure 4 As shown, a computer device 40 is provided, comprising a memory 42, a processor 41, and a computer program 43 stored in the memory 42 and executable on the processor 41. When the processor 41 executes the computer program 43, the steps of the data processing method in the above-described embodiment are implemented. To avoid repetition, these steps are not described here. Alternatively, when the processor 41 executes the computer program 43, the functions of the modules in the above-described embodiment of the circuit breaker real-time fault monitoring system are implemented. To avoid repetition, these steps are not described here.

[0092] In one embodiment, a readable storage medium is provided, storing a computer program 43. When executed by a processor 41, the computer program 43 implements the steps of the data processing method in the above-described embodiment. To avoid repetition, these steps are not described here. Alternatively, when the processor 41 executes the computer program 43, the functions of the modules in the above-described data processing device embodiment are implemented. To avoid repetition, these steps are not described here.

[0093] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0094] Those skilled in the art will clearly understand that for the convenience and brevity of description, the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules, sub-modules and units as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A circuit breaker real-time fault monitoring method, characterized in that: include: S1, obtaining the current signal of the zero-sequence current sensor; S2, judging whether the current signal is abnormal, and if so, decomposing the current signal into multiple frequency bands by using wavelet packet transform; S3, extracting high-frequency components and low-frequency components in the frequency band, and determining whether a fault warning condition is triggered according to the energy of the high-frequency components and the low-frequency components; S4. If the fault warning condition is triggered, a voltage signal of the voltage sensor is obtained; S5, performing FFT harmonic component analysis on the voltage signal to extract waveform features; S6. Input the waveform characteristics, zero-sequence current, voltage value corresponding to the voltage signal, high-frequency component and low-frequency component into a trained fault feature model, and use the trained fault feature model to determine the fault type of the circuit breaker.

2. The circuit breaker real-time fault monitoring method according to claim 1, characterized in that: The step S6 comprises: If the energy of the low-frequency component is high and the waveform characteristic is harmonic-free, the fault type is a metallic ground fault; If the zero-sequence current and the voltage value are in a linear relationship, and the harmonic content in the waveform characteristic is less than the harmonic threshold, then the fault type is a resistive ground fault; If the energy of the high-frequency component is high and there is an intermittent arc-extinguishing feature in the waveform feature, the fault type is an arc grounding fault.

3. The circuit breaker real-time fault monitoring method according to claim 1, characterized in that: After step S5, the method further includes: According to the preset time interval, the temperature sensor is used to collect the real-time temperature data of the circuit breaker; Temperature rise data is obtained according to the real-time temperature data, and the temperature rise data is input into a trained fault feature model.

4. The circuit breaker real-time fault monitoring method according to claim 1, characterized in that: After step S4, the method further includes: It is determined whether the voltage value of the voltage signal exceeds the voltage threshold. If it exceeds, a voltage dividing capacitor is used to divide the voltage signal to obtain a secondary voltage, and the secondary voltage is used to perform FTT harmonic analysis.

5. A circuit breaker real-time fault monitoring system, used to execute the circuit breaker real-time fault monitoring method according to claims 1-4, characterized in that: include: A circuit breaker body, wherein a zero-sequence current sensor, a voltage sensor and a temperature sensor are arranged in the circuit breaker body. The zero-sequence current sensor is used to monitor and collect the line zero-sequence current, the voltage sensor is used to monitor and collect the line voltage, and the temperature sensor is used to monitor and collect the line temperature; An edge computing module, which is connected to the circuit breaker body via a data line, and includes: A data preprocessing submodule, used for performing wavelet analysis and FTT waveform analysis on the zero-sequence current and voltage collected from the circuit breaker body; The model training submodule is used to train the model using historical data to obtain a fault feature model; A fault diagnosis submodule, used for inputting the waveform characteristics obtained after the zero-sequence current after wavelet analysis and the FTT waveform analysis into the fault characteristic model to obtain the fault type; A fault processing submodule is used to send a tripping instruction to the circuit breaker body to isolate the fault according to the fault type of the fault diagnosis submodule, and send fault handling and warning information to the feeder terminal; The backup power submodule is used to provide power for the opening and closing operations of the circuit breaker.

6. The circuit breaker real-time fault monitoring system according to claim 5, characterized in that: The circuit breaker body also includes a current transformer coil, which is used to convert the current signal collected by the zero-sequence current sensor into an analog voltage signal suitable for analog-to-digital conversion. The edge computing module is provided with an analog-to-digital converter, which converts the analog voltage signal into a digital signal.

7. The circuit breaker real-time fault monitoring system according to claim 5, characterized in that: It also includes a feeder terminal, which includes a database. The database is used to store voltage data, current data and temperature data collected by the circuit breaker body as historical data for model training by the model training submodule.

8. The circuit breaker real-time fault monitoring system according to claim 7, characterized in that: The feeder terminal is provided with an alarm transmitter, and the alarm transmitter is used to send the fault type to the terminal where the maintenance personnel is located.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the real-time fault monitoring method for a circuit breaker according to any one of claims 1 to 4 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the real-time fault monitoring method for a circuit breaker according to any one of claims 1 to 4 is implemented.

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