Method and system for identifying arc crosstalk signal

Abstract

The invention discloses a method and a system for identifying an arc crosstalk signal, and belongs to the technical field of fault arc detection. The method comprises the following steps: continuously sampling a current signal of a target power system by adopting a specific sampling circuit, and judging whether a fault arc occurs in the target power system based on the continuously sampled current signal; if yes, converting the continuously sampled current signal into a digital signal, and performing high-pass filtering processing; and when the fault arc is identified, performing time-sharing processing on the filtered digital signal, performing high-frequency calculation, extracting the sum of harmonic power spectrum amplitudes of the corresponding signal of the high-frequency current transformer as a crosstalk identification characteristic quantity, and comparing to identify whether the detected fault arc is the arc signal of the current path or not. According to the invention, the crosstalk signal in the arc diagnosis process can be effectively identified by processing the current signal.

Description

Technical Field

[0001] The present invention relates to the technical field of arc faults, and more particularly to a method and system for identifying arc crosstalk signals. Background Art

[0002] Electrical fires account for a significant proportion of modern fire incidents, with arc faults being a major cause. There are two main types of arc faults: parallel arcs and series arcs. Parallel arcs cause a significant increase in the current in the circuit, while series arcs are more likely to cause electrical fires because they have less impact on the circuit current and are not easily detected by traditional protection devices.

[0003] The series arc current carries abundant high-frequency components, which is conducive to arc detection, and some technologies that use arc current high-frequency signals for diagnosis have begun to be applied in practice. However, if an arc occurs in the bypass, the detection equipment on this line will most likely be able to capture these arc high-frequency signals, which interferes with the arc diagnosis on this line. Since the bypass crosstalk arc and the arc on this line have essentially similar characteristics, it is difficult to distinguish them directly.

[0004] Traditional arc diagnosis technology is limited by the development of electronic technology. It is often difficult to distinguish arc signals from interference signals and is easily disturbed by load changes, which limits its wide application and increases electrical safety risks. Summary of the invention

[0005] In view of the above problems, the present invention proposes a method for identifying arc crosstalk signals, comprising:

[0006] Using a specific sampling circuit to continuously sample the current signal of the target power system, and judging whether a fault arc occurs in the target power system based on the continuously sampled current signal;

[0007] If it occurs, the continuously sampled current signal is converted into a digital signal and subjected to high-pass filtering;

[0008] When a fault arc is identified, the filtered digital signal is time-sharingly processed, and high-frequency calculation is performed to extract the sum of the harmonic power spectrum amplitudes of the corresponding signals of the high-frequency current transformer as the crosstalk identification feature, and a comparison is made to identify whether the detected fault arc is an arc signal of this line.

[0009] Optionally, a specific sampling circuit is used, including: two manganese zinc magnetic rings and four high-frequency current transformers;

[0010] Use the neutral and live wires to pass through the first high-frequency current transformer, filter through the first magnetic ring, and then connect to the third high-frequency current transformer;

[0011] The neutral and live wires are passed through the second high-frequency current transformer, filtered through the second magnetic ring, and then connected to the fourth high-frequency current transformer.

[0012] Optionally, the current signal is converted into a digital signal via ADC.

[0013] Optionally, the method further includes: filtering the digital signal through a high-pass digital filter, wherein the order of the high-pass digital filter is 64, the cut-off frequency is 10 KHz, and the unit impulse response is h(n).

[0014] Optionally, the sum of the amplitudes of the harmonic power spectrum of the corresponding signal of the high-frequency current transformer is extracted, including:

[0015] The filtered digital signal data is processed in sections at the same time, and the data after the section processing is subjected to fast Fourier transform to calculate the sum of the amplitudes of the third and fifth harmonic power spectra of each section of data.

[0016] Optionally, during segment processing, data within every 20us is divided into one segment of data.

[0017] Optionally, to identify whether the detected fault arc is a local arc signal, including:

[0018] like and When , it is a fault arc in this circuit. If or It is the bypass crosstalk signal;

[0019] in, It is the sum of the amplitudes of the third and fifth harmonic power spectra of a segment of data corresponding to the current signals continuously sampled by the first, second, third and fourth high-frequency current transformers.

[0020] Optionally, the continuously sampled current signals are: four current signals with a sampling rate of 2 MHz.

[0021] Optionally, high-pass filtering is used to filter out interference signals in the low frequency band.

[0022] On the other hand, the present invention also provides a system for arc crosstalk signal identification, comprising:

[0023] A sampling unit, configured to continuously sample a current signal of a target power system using a specific sampling circuit, and determine whether an arc fault occurs in the target power system based on the continuously sampled current signal;

[0024] The first identification unit converts the continuously sampled current signal into a digital signal and performs high-pass filtering when a fault arc occurs;

[0025] The second identification unit is used to perform high-frequency calculation on the filtered digital signal after time-sharing processing when a fault arc is identified, extract the sum of the harmonic power spectrum amplitudes of the corresponding signals of the high-frequency current transformer as a crosstalk identification feature, and compare them to identify whether the detected fault arc is a local arc signal.

[0026] Optionally, a specific sampling circuit is used, including: two manganese zinc magnetic rings and four high-frequency current transformers;

[0027] Use the neutral and live wires to pass through the first high-frequency current transformer, filter through the first magnetic ring, and then connect to the third high-frequency current transformer;

[0028] The neutral and live wires are passed through the second high-frequency current transformer, filtered through the second magnetic ring, and then connected to the fourth high-frequency current transformer.

[0029] Optionally, the current signal is converted into a digital signal via ADC.

[0030] Optionally, the method further includes: filtering the digital signal through a high-pass digital filter, wherein the order of the high-pass digital filter is 64, the cut-off frequency is 10 KHz, and the unit impulse response is h(n).

[0031] Optionally, the sum of the amplitudes of the harmonic power spectrum of the corresponding signal of the high-frequency current transformer is extracted, including:

[0032] The filtered digital signal data is processed in sections at the same time, and the data after the section processing is subjected to fast Fourier transform to calculate the sum of the amplitudes of the third and fifth harmonic power spectra of each section of data.

[0033] Optionally, during segment processing, data within every 20us is divided into one segment of data.

[0034] Optionally, to identify whether the detected fault arc is a local arc signal, including:

[0035] like and When , it is a fault arc in this circuit. If or It is the bypass crosstalk signal;

[0036] in, It is the sum of the amplitudes of the third and fifth harmonic power spectra of a segment of data corresponding to the current signals continuously sampled by the first, second, third and fourth high-frequency current transformers.

[0037] Optionally, the continuously sampled current signals are: four current signals with a sampling rate of 2 MHz.

[0038] Optionally, high-pass filtering is used to filter out interference signals in the low frequency band.

[0039] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0040] a processor for executing one or more programs;

[0041] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0042] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention provides a method for identifying arc crosstalk signals, comprising: using a specific sampling circuit to continuously sample the current signal of a target power system, and judging whether a fault arc occurs in the target power system based on the continuously sampled current signal; if it occurs, converting the continuously sampled current signal into a digital signal and performing high-pass filtering; when a fault arc is identified, performing time-sharing processing on the filtered digital signal, performing high-frequency calculation, extracting the sum of the harmonic power spectrum amplitudes of the corresponding signal of the high-frequency current transformer as a crosstalk identification feature, and comparing to identify whether the detected fault arc is a local arc signal. The present invention can effectively identify the crosstalk signal in the arc diagnosis process by processing the current signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of the method of the present invention;

[0046] Figure 2 is a flow chart of an embodiment of the method of the present invention;

[0047] Figure 3 A schematic diagram of signal sampling in an embodiment of the method of the present invention;

[0048] Figure 4 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0049] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0050] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0051] Embodiment 1:

[0052] The present invention proposes a method for identifying arc crosstalk signals, such as Figure 1 As shown, including:

[0053] Step 1: using a specific sampling circuit to continuously sample the current signal of the target power system, and judging whether a fault arc occurs in the target power system based on the continuously sampled current signal;

[0054] Step 2: If it occurs, convert the continuously sampled current signal into a digital signal and perform high-pass filtering;

[0055] Step 3: When a fault arc is identified, the filtered digital signal is time-sharing processed, and high-frequency calculation is performed to extract the sum of the harmonic power spectrum amplitudes of the corresponding signals of the high-frequency current transformer as a crosstalk identification feature, and a comparison is made to identify whether the detected fault arc is a local arc signal.

[0056] Among them, the specific sampling circuit used includes: two manganese zinc magnetic rings and four high-frequency current transformers;

[0057] Use the neutral and live wires to pass through the first high-frequency current transformer, filter through the first magnetic ring, and then connect to the third high-frequency current transformer;

[0058] The neutral and live wires are passed through the second high-frequency current transformer, filtered through the second magnetic ring, and then connected to the fourth high-frequency current transformer.

[0059] The current signal is converted into a digital signal by ADC.

[0060] The method further includes: filtering the digital signal through a high-pass digital filter, wherein the order of the high-pass digital filter is 64, the cut-off frequency is 10KHz, and the unit impulse response is h(n).

[0061] Among them, the sum of the harmonic power spectrum amplitudes of the corresponding signal of the high-frequency current transformer is extracted, including:

[0062] The filtered digital signal data is processed in sections at the same time, and the data after the section processing is subjected to fast Fourier transform to calculate the sum of the amplitudes of the third and fifth harmonic power spectra of each section of data.

[0063] In the segmentation process, the data within every 20us is divided into one segment of data.

[0064] Wherein, identifying whether the detected fault arc is a local arc signal includes:

[0065] like and When , it is a fault arc in this circuit. If or It is the bypass crosstalk signal;

[0066] in, It is the sum of the amplitudes of the third and fifth harmonic power spectra of a segment of data corresponding to the current signals continuously sampled by the first, second, third and fourth high-frequency current transformers.

[0067] The continuously sampled current signals are: four-channel current signals with a sampling rate of 2 MHz.

[0068] Among them, high-pass filtering is used to filter out interference signals in the low-frequency band.

[0069] The present invention will be further described below in conjunction with implementation cases:

[0070] Process such as Figure 2 As shown, including:

[0071] (1) Build a specific sampling circuit, arrange manganese zinc magnetic rings and high-frequency current transformers on the neutral and live wires of this line, and arrange them in the following way: Figure 3 As shown, the sampling circuit includes two manganese zinc magnetic rings and four high-frequency current transformers. The neutral and live wires first pass through a high-frequency current transformer, then pass through a magnetic ring filter, and then connect to a high-frequency current transformer. The current before and after the magnetic ring filter is continuously sampled to analyze whether a fault arc occurs in the sampled line, that is, to analyze whether an arc occurs in the main circuit.

[0072] (2) The current signal x sampled from each high-frequency current transformer i (f) are converted into digital signals by ADC with a sampling rate of 2MHz, and the digital signal x i (n) The signals are sent to the hardware digital signal processing system to perform real-time high-frequency feature calculations. When a fault arc is identified, the sum of the third and fifth harmonic power spectrum amplitudes of the signals extracted and processed by each transformer is compared to determine whether crosstalk occurs.

[0073] (3)x i (n) is filtered by a high-pass digital filter. The filter order can be designed to be 64 orders, and the cut-off frequency is 10KHz. The unit impulse response of the digital filter is h(n). The signal after filtering is:

[0074]

[0075] The gain is then dynamically adjusted according to the strength of the filtered signal to enhance those tiny arc signals, while preventing digital overflow problems and ensuring accuracy and reliability in extracting arc crosstalk features.

[0076] (4) The three groups of signal data processed by the hardware are processed in segments at the same time, with each 20us data segment as one segment. Fast Fourier transform is performed to calculate the sum of the amplitudes of the third and fifth harmonic power spectra of the signal. Fast Fourier transform of the signal X i (n) The amplitude at these frequency points can be calculated by the following formula:

[0077]

[0078] Among them, |X i (k3)| and|X i (k5)|are respectively signals X i [k] is the modulus at the third and fifth harmonic frequencies, k3 and k5 correspond to the indices of the third and fifth harmonic frequency points. is the sum of the third and fifth harmonic power spectrum amplitudes.

[0079] (5) Every 20us, calculate the total harmonic content of the signals processed by the three current transformers And compare. and When , it is a fault arc in this circuit; if or It is the bypass crosstalk signal;

[0080] (6) The manganese-zinc magnetic ring has a good filtering effect on high-frequency information below 1 MHz. When an arc fault occurs in this line, the high-frequency information of the arc current generated will propagate in the line. High-frequency current transformers 3 and 4 will extract the high-frequency information of the arc current that has not been filtered by the magnetic ring, and then high-frequency current transformers 1 and 2 will extract the high-frequency information of the arc current that has been filtered by the magnetic ring. Due to the effect of magnetic ring filtering, the high-frequency information of the arc current below 1 MHz collected by transformers 3 and 4 will be richer than that collected by transformers 1 and 2, and the sum of the amplitudes of the third and fifth harmonic power spectra in the arc current will be larger. Therefore, when an arc fault occurs in this line, and When an arc occurs in the bypass, transformer 1 or transformer 2 will first extract the arc current signal that has not been filtered by the magnetic ring, and then transformers 3 and 4 will extract the arc current signal that has been filtered by the magnetic ring. The arc current signal extracted by transformer 1 or 2 contains more third and fifth harmonics, so or

[0081] The present invention solves the problem of crosstalk signal identification in the current series fault arc diagnosis process, and reasonably and economically identifies bypass crosstalk arcs and local arcs.

[0082] Embodiment 2:

[0083] The present invention also proposes a system 200 for identifying arc crosstalk signals, such as Figure 4 As shown, including:

[0084] The sampling unit 201 is used to continuously sample the current signal of the target power system using a specific sampling circuit, and determine whether a fault arc occurs in the target power system based on the continuously sampled current signal;

[0085] The first identification unit 202 converts the continuously sampled current signal into a digital signal and performs high-pass filtering when a fault arc occurs;

[0086] The second identification unit 203 is used to perform high-frequency calculation on the filtered digital signal after time-sharing processing when a fault arc is identified, extract the sum of the harmonic power spectrum amplitudes of the corresponding signals of the high-frequency current transformer as a crosstalk identification feature, and compare them to identify whether the detected fault arc is a local arc signal.

[0087] Among them, the specific sampling circuit used includes: two manganese zinc magnetic rings and four high-frequency current transformers;

[0088] Use the neutral and live wires to pass through the first high-frequency current transformer, filter through the first magnetic ring, and then connect to the third high-frequency current transformer;

[0089] The neutral and live wires are passed through the second high-frequency current transformer, filtered through the second magnetic ring, and then connected to the fourth high-frequency current transformer.

[0090] The current signal is converted into a digital signal by ADC.

[0091] The method further includes: filtering the digital signal through a high-pass digital filter, wherein the order of the high-pass digital filter is 64, the cut-off frequency is 10KHz, and the unit impulse response is h(n).

[0092] Among them, the sum of the harmonic power spectrum amplitudes of the corresponding signal of the high-frequency current transformer is extracted, including:

[0093] The filtered digital signal data is processed in sections at the same time, and the data after the section processing is subjected to fast Fourier transform to calculate the sum of the amplitudes of the third and fifth harmonic power spectra of each section of data.

[0094] In the segmentation process, the data within every 20us is divided into one segment of data.

[0095] Wherein, identifying whether the detected fault arc is a local arc signal includes:

[0096] like and When , it is a fault arc in this circuit. If or It is the bypass crosstalk signal;

[0097] in, It is the sum of the amplitudes of the third and fifth harmonic power spectra of a segment of data corresponding to the current signals continuously sampled by the first, second, third and fourth high-frequency current transformers.

[0098] The continuously sampled current signals are: four-channel current signals with a sampling rate of 2 MHz.

[0099] Among them, high-pass filtering is used to filter out interference signals in the low-frequency band.

[0100] The present invention builds a specific sampling circuit, arranges manganese-zinc magnetic rings and high-frequency current transformers on the neutral and live wires of this line, obtains current signals of four high-frequency current transformers, and timely and accurately distinguishes local arcs and bypass crosstalk signals by comparing the sum of the third and fifth harmonic power spectrum amplitudes of the signals extracted and processed by each transformer, thereby avoiding malfunction of the arc detection equipment and laying a solid foundation for the application and promotion of arc detection equipment.

[0101] The present invention can effectively identify the crosstalk signal in the arc diagnosis process by processing the current signal.

[0102] Embodiment 3:

[0103] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0104] Embodiment 4:

[0105] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiment.

[0106] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0107] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0108] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0110] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0111] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for identifying arc crosstalk signals, characterized in that: include: Using a specific sampling circuit to continuously sample the current signal of the target power system, and judging whether a fault arc occurs in the target power system based on the continuously sampled current signal; If it occurs, the continuously sampled current signal is converted into a digital signal and subjected to high-pass filtering; When a fault arc is identified, the filtered digital signal is time-sharingly processed, and high-frequency calculation is performed to extract the sum of the harmonic power spectrum amplitudes of the corresponding signals of the high-frequency current transformer as the crosstalk identification feature, and a comparison is made to identify whether the detected fault arc is an arc signal of this line.

2. The method according to claim 1, characterized in that The specific sampling circuit used includes: two manganese zinc magnetic rings and four high-frequency current transformers; Use the neutral and live wires to pass through the first high-frequency current transformer, filter through the first magnetic ring, and then connect to the third high-frequency current transformer; The neutral and live wires pass through the second high-frequency current transformer, are filtered through the second magnetic ring, and are then connected to the fourth high-frequency current transformer.

3. The method according to claim 1, characterized in that The current signal is converted into a digital signal by ADC.

4. The method according to claim 1, characterized in that The method further comprises: filtering the digital signal through a high-pass digital filter, wherein the order of the high-pass digital filter is 64, the cut-off frequency is 10 KHz, and the unit impulse response is h(n).

5. The method according to claim 1, characterized in that The step of extracting the sum of the amplitudes of the harmonic power spectrum of the corresponding signal of the high-frequency current transformer comprises: The filtered digital signal data is processed in sections at the same time, and the data after the section processing is subjected to fast Fourier transform to calculate the sum of the amplitudes of the third and fifth harmonic power spectra of each section of data.

6. The method according to claim 5, characterized in that During the segmentation process, data within every 20us is divided into one segment of data.

7. The method according to claim 1, characterized in that The method of identifying whether the detected fault arc is a local arc signal includes: like and When , it is a fault arc in this circuit. If or It is the bypass crosstalk signal; in, It is the sum of the amplitudes of the third and fifth harmonic power spectra of a segment of data corresponding to the current signals continuously sampled by the first, second, third and fourth high-frequency current transformers.

8. The method according to claim 1, characterized in that The continuously sampled current signals are: four-channel current signals with a sampling rate of 2 MHz.

9. The method according to claim 1, characterized in that: The high-pass filtering process is used to filter out interference signals in the low-frequency band.

10. A system for arc crosstalk signal identification, characterized in that: include: A sampling unit, configured to continuously sample a current signal of a target power system using a specific sampling circuit, and determine whether an arc fault occurs in the target power system based on the continuously sampled current signal; The first identification unit converts the continuously sampled current signal into a digital signal and performs high-pass filtering when a fault arc occurs; The second identification unit is used to perform high-frequency calculation on the filtered digital signal after time-sharing processing when a fault arc is identified, extract the sum of the harmonic power spectrum amplitudes of the corresponding signals of the high-frequency current transformer as a crosstalk identification feature, and compare them to identify whether the detected fault arc is a local arc signal.

11. The system according to claim 10, characterized in that The specific sampling circuit used includes: two manganese zinc magnetic rings and four high-frequency current transformers; Use the neutral and live wires to pass through the first high-frequency current transformer, filter through the first magnetic ring, and then connect to the third high-frequency current transformer; The neutral and live wires pass through the second high-frequency current transformer, are filtered through the second magnetic ring, and are then connected to the fourth high-frequency current transformer.

12. The system according to claim 10, characterized in that The current signal is converted into a digital signal by ADC.

13. The system according to claim 10, characterized in that The method further comprises: filtering the digital signal through a high-pass digital filter, wherein the order of the high-pass digital filter is 64, the cut-off frequency is 10 KHz, and the unit impulse response is h(n).

14. The system according to claim 10, characterized in that The step of extracting the sum of the amplitudes of the harmonic power spectrum of the corresponding signal of the high-frequency current transformer comprises: The filtered digital signal data is processed in sections at the same time, and the data after the section processing is subjected to fast Fourier transform to calculate the sum of the amplitudes of the third and fifth harmonic power spectra of each section of data.

15. The system according to claim 14, characterized in that During the segmentation process, data within every 20us is divided into one segment of data.

16. The system according to claim 10, characterized in that The method of identifying whether the detected fault arc is a local arc signal includes: like and When , it is a fault arc in this circuit. If or It is the bypass crosstalk signal; in, It is the sum of the amplitudes of the third and fifth harmonic power spectra of a segment of data corresponding to the current signals continuously sampled by the first, second, third and fourth high-frequency current transformers.

17. The system according to claim 10, characterized in that The continuously sampled current signals are: four-channel current signals with a sampling rate of 2 MHz.

18. The system according to claim 10, characterized in that The high-pass filtering process is used to filter out interference signals in the low-frequency band.

19. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 9 is implemented.

20. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 9 is implemented.

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