Insulation fault type detection method and system for gas insulation equipment

Abstract

The invention discloses an insulation fault type detection method and system for gas insulation equipment, and relates to the technical field of electrical equipment insulation fault detection, and the method comprises the steps: collecting GIS equipment gas, and obtaining a spectrum through a first method; judging the type of decomposition characteristic gas, and absorbing the measured gas; and the insulation fault type is determined through the gas component concentration. According to the insulation fault type detection method for the gas insulation equipment, by simulating different fault types and determining the relationship between the decomposition gas concentration and the fault, the detection error range is reduced, the fault diagnosis accuracy is improved, the detection accuracy of the system is improved through the advanced spectrum detection technology, and the detection efficiency is improved. By means of pollution-free emission and effective utilization of gas resources, the maintenance requirement and detection cost of the system are reduced, the environmental protection property of equipment is improved, and better effects are achieved in the aspects of accuracy, detection cost and environmental protection property.

Description

Technical Field

[0001] The invention relates to the technical field of insulation fault detection of electrical equipment, and in particular to a method for detecting insulation fault types of gas-insulated equipment. Background Art

[0002] SF 6 Gas is widely used in power systems, especially in gas-insulated metal-enclosed switchgear (GIS). 6 Gas has excellent electrical insulation and arc extinguishing capabilities, which can effectively prevent the generation and expansion of arcs and improve the reliability of power systems. 6 Gas is chemically inert and not prone to chemical reactions, making it suitable for use in a variety of harsh power environments. However, SF 6 Gas has serious harm to the environment, and its global warming potential (GWP) is about 23,500 times that of CO2. 6 The gas has an extremely long lifespan in the atmosphere and any leakage would have long-term adverse impacts on climate change.

[0003] Currently GIS uses SF 6 / N 2 Mixed gas, N 2 As an auxiliary gas, it can reduce SF 6 The use of gas can reduce the environmental burden and reduce costs, making power equipment more environmentally friendly and more economical. However, GIS will inevitably be affected by external factors during manufacturing, transportation, installation and operation, resulting in internal insulation defects. These defects will gradually worsen during the long-term operation of GIS. When they reach a certain level, partial discharge will occur inside the GIS equipment. At this time, SF 6 / N 2 The mixed gas will decompose under local discharge, and its decomposition products will react with trace moisture in the equipment to generate corrosive gases, further expanding the fault. Therefore, finding the fault of GIS equipment and preventing the fault from further expanding is a problem that needs to be solved today. There are many methods for detecting insulation defects in GIS equipment, but these detection methods have disadvantages such as insufficient sensitivity and single characterization parameters. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing mixed gas insulation fault detection method has insufficient sensitivity, single characterization parameters, and an optimization problem of how to accurately detect the insulation fault type of GIS equipment.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for detecting insulation fault types of gas-insulated equipment, comprising collecting gas from GIS equipment and obtaining a spectrum through a first method; determining the type of decomposed characteristic gas and absorbing the measured gas; and determining the insulation fault type through the concentration of gas components.

[0007] As a preferred solution of the insulation fault type detection method of gas-insulated equipment described in the present invention, wherein: collecting GIS equipment gas includes collecting GIS equipment gas through a gas collection unit and injecting the gas into the first device.

[0008] As a preferred solution of the insulation fault type detection method for gas-insulated equipment described in the present invention, wherein: the obtaining of the spectrum by the first method includes adopting the first method to obtain the spectrum containing the sample information.

[0009] As a preferred solution of the insulation fault type detection method for gas-insulated equipment described in the present invention, wherein: the determination of the type of decomposed characteristic gas includes determining the characteristic decomposed gas according to the absorption peak value of the characteristic decomposed gas.

[0010] As a preferred solution of the insulation fault type detection method for gas-insulated equipment described in the present invention, wherein: the absorbing the measured gas includes pumping the measured gas through a vacuum pump and absorbing it using high-efficiency activated carbon.

[0011] As a preferred solution of the insulation fault type detection method for gas-insulated equipment described in the present invention, wherein: the determination of the insulation fault type by gas component concentration includes determining the final fault type by the relationship between the characteristic decomposition product concentration and the insulation fault type.

[0012] As a preferred solution of the insulation fault type detection method for gas-insulated equipment described in the present invention, the determination of the insulation fault type by gas component concentration also includes the change trend of the gas component concentration of GIS equipment under different insulation fault types with the discharge time.

[0013] Another object of the present invention is to provide an insulation fault type detection system for gas-insulated equipment, which can determine the insulation fault type of GIS equipment by analyzing the concentration of gas components through the fault determination module according to the characteristic gas type identified by the gas judgment module, thereby solving the current problem of inaccurate fault type judgment.

[0014] As a preferred solution of the insulation fault type detection system for gas-insulated equipment described in the present invention, it includes: a spectrum acquisition module, a gas judgment module, and a fault determination module; the spectrum acquisition module is used to collect gas from GIS equipment and obtain the spectrum through a first method; the gas judgment module is used to determine the type of decomposed characteristic gas and absorb the measured gas; the fault determination module is used to determine the insulation fault type through the gas component concentration.

[0015] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that the processor executes the computer program to implement a step of a method for detecting insulation fault types of gas-insulated equipment.

[0016] A computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of a method for detecting insulation fault types of gas-insulated equipment.

[0017] Beneficial effects of the present invention: The insulation fault type detection method for gas-insulated equipment provided by the present invention detects the concentration of gas inside GIS equipment, establishes the association between characteristic decomposition gas and fault type, makes the distinction of fault types intuitive and clear, simulates different fault types, establishes the relationship between decomposition gas concentration and fault, reduces the error range of detection, improves the accuracy of fault diagnosis, improves the detection accuracy of the system through advanced spectral detection technology, reduces the maintenance requirements and detection costs of the system through pollution-free emissions and effective use of gas resources, and improves the environmental protection of the equipment. The present invention achieves better results in terms of accuracy, detection cost and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0019] Figure 1 This is an overall flow chart of a method for detecting insulation fault types of gas-insulated equipment provided in the first and second embodiments of the present invention.

[0020] Figure 2 The graphs are of gas component concentration and discharge time for a method for detecting insulation fault types of gas-insulated equipment provided in the first and second embodiments of the present invention.

[0021] Figure 3A flow chart of the relationship between gas concentration and defect decomposition of a method for detecting insulation fault types of gas-insulated equipment provided in the first and second embodiments of the present invention.

[0022] Figure 4 This is an overall module diagram of an insulation fault type detection system for gas-insulated equipment provided by the fourth embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0024] Example 1

[0025] Reference Figure 1-Figure 3 , as an embodiment of the present invention, provides a method for detecting insulation fault types of gas-insulated equipment, comprising:

[0026] S1: Collect gas from GIS equipment and obtain spectrum using the first method.

[0027] Furthermore, collecting the GIS equipment gas includes collecting the GIS equipment gas through a gas collection unit and injecting the gas into the first device.

[0028] In the embodiment of the present application, the first device is a Fourier transform infrared spectrometer. The Fourier transform infrared spectrometer (FTIR) is an instrument used to detect and analyze the molecular structure of a substance. It analyzes the characteristics of chemical bonds and molecular components in a material by measuring the absorption of infrared spectra of different wavelengths. FTIR uses Fourier transform technology to associate the intensity change of broadband infrared light with the characteristic absorption wavelength of the material molecule, and can provide vibration information of chemical bonds inside the molecule. In the present invention, FTIR is used to detect SF 6 / N 2 Decomposition products in mixed gases, such as SOF 2 、SO 2 F 2 The instrument has high sensitivity and resolution, and can accurately detect the trace components of decomposed gas, making it easy to identify the generation of characteristic gases caused by different insulation defects;

[0029] The working process of FTIR includes infrared light source emission, interferometer adjustment, absorption detection of sample gas pool, and analog-to-digital conversion and Fourier transform processing of signals. The infrared light source emits wide-band infrared light, which enters the sample cavity after being modulated by the interferometer. Part of the light is absorbed by the decomposed gas, and the unabsorbed infrared light reaches the detector and generates an interference pattern. The FTIR system converts these interference patterns into infrared absorption spectra through the fast Fourier transform (FFT) algorithm, so that the characteristic absorption peak information of the decomposed gas can be clearly obtained, which is convenient for analyzing the type and concentration of the gas. Compared with traditional infrared spectroscopy technology, FTIR provides faster analysis speed and higher sensitivity, which is suitable for online monitoring and fault diagnosis environments. FTIR has high repeatability and high stability, and can be used for a long time in complex power environments. It is the SF in GIS equipment. 6 / N 2 Ideal for mixed gas fault detection.

[0030] In an optional embodiment, the first device can also be implemented by other means, such as a gas chromatography-mass spectrometer (GC-MS), which integrates gas chromatography (GC) and mass spectrometry (MS) technology to separate and detect SF 6 / N 2 Decomposition products in mixed gases. GC-MS first separates the components of the mixed gas through gas chromatography technology, and separates various decomposition products in the sample according to boiling points or molecular weights. The separated gas components enter the mass spectrometer, which ionizes the gas molecules and detects their mass-to-charge ratio (m / z) to identify the molecular structure and concentration of the decomposition products.

[0031] GC-MS can replace FTIR for SF 6 / N 2 The detection of decomposition products in mixed gases is particularly suitable for high-sensitivity and high-resolution detection needs. GC-MS can accurately detect the composition and concentration of trace decomposition gases, so as to more clearly distinguish the characteristic gas components of different fault types. GC-MS provides more detailed molecular structure information, which is helpful for the qualitative and quantitative analysis of complex gas components and is suitable for use under high detection accuracy and sensitivity requirements. The equipment plays an important role in the detection of decomposition gas components in GIS equipment fault diagnosis and ensures the stability and safety of system operation.

[0032] Furthermore, acquiring the spectrum by the first method includes adopting the first method to acquire the spectrum containing the sample information.

[0033] In the embodiment of the present application, the first method is infrared absorption spectroscopy. Infrared absorption spectroscopy is a technical method for analyzing molecular structure and composition by detecting the absorption of infrared light of a specific wavelength by a sample. In insulation fault detection of power equipment, this method is particularly suitable for detecting decomposition gas generated during insulation fault. Infrared absorption spectroscopy is based on the fact that different molecules have specific absorption peaks. When infrared light passes through a sample, the chemical bonds in the sample molecules selectively absorb infrared light of a specific wavelength, causing the light intensity of the transmitted light to attenuate at that wavelength. By analyzing the infrared absorption spectrum of the sample, the composition and concentration of the gas can be determined.

[0034] In the present invention, infrared absorption spectroscopy is used to analyze SF 6 / N 2 Characteristic decomposition products in mixed gases (such as SOF 2 、SO 2 F 2 The concentration of these decomposed gases can be measured by infrared spectroscopy, and the unique absorption peaks of these decomposed gases can be observed, thereby providing reliable spectral data for the diagnosis of different insulation fault types. Compared with other analytical methods, infrared absorption spectroscopy has the advantages of non-destructive testing, simple operation and fast detection speed, especially for SF 6 / N 2 In the scenario of insulation fault detection of mixed gas in GIS equipment, this method has high resolution for gas and can effectively distinguish subtle differences in gas composition under different fault scenarios, thereby improving the accuracy of fault diagnosis. The introduction of infrared absorption spectroscopy enables the operating status of GIS equipment to be continuously monitored in a non-contact manner, which helps to identify and prevent faults in an early stage, thereby improving the safety and stability of the power system.

[0035] In an optional embodiment, the first method can also be implemented in other ways, such as a surface acoustic wave sensor method (SAW). The SAW method uses the principle that the adsorption process of gas molecules on the sensor surface affects the propagation characteristics of sound waves, and identifies the type and concentration of the gas by detecting changes in the sensor's resonant frequency. When the decomposed gas molecules in the GIS device are adsorbed onto the surface of the SAW sensor, the mass of the sensor changes, causing the propagation speed or frequency of the surface acoustic wave to change. By monitoring these changes, characteristic information of the decomposed gas can be obtained.

[0036] SAW sensors have the characteristics of small size, fast response and high sensitivity. They are suitable for real-time detection of gas composition in GIS equipment on site. At the same time, SAW sensors have high sensitivity to the detection of trace gases and can quickly respond to the characteristic decomposition gases produced by faults. They are particularly suitable for early detection and monitoring of insulation faults in GIS equipment. SAW technology is portable and the power consumption of the detection equipment is low. It is suitable for continuous monitoring of GIS equipment during operation, thus providing a reliable gas analysis method for fault type identification.

[0037] Example 2

[0038] Reference Figure 1-Figure 3 , as an embodiment of the present invention, provides a method for detecting insulation fault types of gas-insulated equipment, comprising:

[0039] S2: Determine the type of decomposition characteristic gas and absorb the gas after measurement.

[0040] Furthermore, determining the type of the decomposition characteristic gas includes determining the characteristic decomposition gas according to an absorption peak of the characteristic decomposition gas.

[0041] It should be noted that the decomposition characteristic gases include SOF 2 , SO 2 , NO 2 , SO 2 F 2 .

[0042] Furthermore, absorbing the measured gas includes extracting the measured gas through a vacuum pump and absorbing it using high-efficiency activated carbon.

[0043] It should be noted that the waste gas in the gas collection unit is transmitted to the gas transmission pipeline, and then transported to the gas purification unit through the gas transmission pipeline for absorption and purification using high-efficiency activated carbon.

[0044] S3: Determine the insulation fault type by gas component concentration.

[0045] Furthermore, determining the insulation fault type by the gas component concentration includes determining the final fault type by the relationship between the characteristic decomposition product concentration and the insulation fault type.

[0046] It should be noted that by limiting the two parameter values, the four insulation defects are expressed as:

[0047] X 1 =c(SOF 2 +SO 2 +SO 2 F 2 ) / c(NO 2 )

[0048] X2 =c(SOF 2 +SO 2 ) / c(SO 2 F 2 )

[0049] Where c(*) is the gas concentration of (*), if X 1 ≥4.9 and X 2 ≥2.8, the GIS equipment is considered to have a metal protrusion defect. 1 ≥4.9, and X 2 <2.8, the GIS equipment is considered to have free metal particle defects. 1 <4.9, and X 2 ≥2.8, the GIS equipment is considered to have metal contamination defects on the surface of the insulator. 1 <4.9, and X 2 <2.8, the GIS equipment is considered to have an insulator air gap defect.

[0050] Furthermore, determining the insulation fault type through the gas component concentration also includes the variation trend of the gas component concentration of the GIS equipment under different insulation fault types with the discharge time.

[0051] It should be noted that metal protrusion defects SOF 2 and SO 2 F 2 At higher concentrations, NO 2 and SO 2 The concentration is low, SO 2 F 2 The concentration of SOF increases linearly with discharge time. 2 The concentration of NO first increased and then decreased. 2 and SO 2 The concentration change is almost 0;

[0052] Insulator surface metal contamination defect, SOF 2 Concentrations higher than SO 2 F 2 , SO 2 The concentration is much higher than NO 2 , SOF 2 The concentration change rate of SO 2 F 2 and SO 2 The concentration change rate of NO 2 The concentration change rate is close to 0;

[0053] Insulator air gap defect, SOF 2 The concentration is slightly higher than SO 2 F 2 , SO2 and NO 2 The concentrations are high and will not approach 0. 2 The concentration change rate of SO increases first and then decreases. 2 F 2 The concentration of SO 2 and NO 2 The concentration change rate is relatively large;

[0054] Free metal particle defects, SOF 2 Concentrations higher than SO 2 F 2 , SO 2 and NO 2 The concentration approaches and tends to 0, SOF 2 As the concentration continued to increase, SO 2 F 2 The concentration of SO 2 and NO 2 The concentration change rate tends to 0.

[0055] Example 3

[0056] An embodiment of the present invention provides a method for detecting insulation fault types of gas-insulated equipment. To verify the beneficial effects of the present invention, scientific demonstration is performed through economic benefit calculation and simulation experiments.

[0057] The experiment was conducted by simulating different insulation defects (such as metal protrusion defects, metal contamination defects on the insulator surface, air gap defects and free metal particle defects). The simulation conditions of each defect were set to the common state in real equipment. The experiment adjusted the gas concentration and voltage conditions inside the GIS equipment to ensure that the equipment maintained stable operation under different fault scenarios, and recorded the concentration changes of the decomposed gas to simulate the actual usage scenario.

[0058] At the beginning of the experiment, SF 6 / N 2 The mixed gas is filled into the GIS equipment, and a specific insulation fault scenario is set. For example, the metal protrusion defect produces a tiny tip discharge in the GIS equipment, and the metal contamination defect on the insulator surface is achieved by simulating uneven metal stains on the insulator surface. In the experiment, the various decomposition gases (SOF 2 、SO 2 F 2 、SO 2 and NO 2The concentration and changes of the gas (such as gas concentration) are measured to explore the decomposition gas characteristics corresponding to different defect types. After each experiment, the gas is extracted and purified by high-efficiency activated carbon to avoid secondary pollution to the equipment and the environment. After purification, it is refilled into the GIS equipment to prepare for the next round of experimental detection of fault types. To ensure the reliability of the data, each group of experiments is repeated three times, and the average value is recorded in the table.

[0059] As shown in Table 1, SOF under different fault types 2 with SO 2 F 2 The concentration of metal protrusion defects in SOF 2 and SO 2 F 2 The concentrations were maintained at around 5.8 and 6.2 ppm respectively, while the contamination defects on the surface of the insulator showed a higher SOF 2 concentration (about 7.0ppm) and lower SO 2 F 2 concentration, which indicates that metal protrusion defects can induce SO 2 F 2 The concentration increases, and the contamination defects on the surface of the insulator tend to cause SOF 2 The concentration increases, so that the fault type can be quickly identified using this differentiated data, achieving accurate fault detection. 2 and NO 2 The concentration increases significantly under air gap defects, especially NO 2 The concentration reaches 0.9-1.0ppm under air gap defect conditions, while it basically tends to 0.2ppm and below under other fault conditions. This phenomenon shows that air gap defects generate higher concentrations of NO due to the local insulating air gap ionization process. 2 This provides a reliable numerical basis for the rapid detection of air gap defects. Comparing the data of 24-hour and 48-hour tests, it can be seen that with the increase of test time, the decomposition gas concentration of various types of faults gradually tends to be stable. This trend proves the reliability and stability of this method under long-term operation.

[0060] Table 1 Experimental data table

[0061]

[0062] Example 4

[0063] Reference Figure 4 , as an embodiment of the present invention, provides an insulation fault type detection system for gas-insulated equipment, including: a spectrum acquisition module, a gas judgment module, and a fault determination module.

[0064] The spectrum acquisition module is used to collect gas from GIS equipment and obtain the spectrum through the first method; the gas judgment module is used to determine the type of decomposed characteristic gas and absorb the measured gas; the fault determination module is used to determine the type of insulation fault through the gas component concentration.

[0065] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0066] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0067] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0068] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0069] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for detecting insulation fault types of gas-insulated equipment, characterized in that: include: Collect gas from GIS equipment and obtain spectrum through the first method; Determine the type of decomposition characteristic gas and absorb the measured gas; The type of insulation fault is determined by the gas component concentration.

2. The insulation fault type detection method of gas-insulated equipment according to claim 1, characterized in that: The collecting of GIS equipment gas includes collecting the GIS equipment gas through a gas collection unit and injecting the gas into the first device.

3. The insulation fault type detection method of gas-insulated equipment according to claim 2, characterized in that: The acquiring of the spectrum by the first method includes adopting the first method to acquire the spectrum containing the sample information.

4. The insulation fault type detection method of gas-insulated equipment according to claim 3, characterized in that: The determining the type of the decomposition characteristic gas includes determining the characteristic decomposition gas according to an absorption peak value of the characteristic decomposition gas.

5. The insulation fault type detection method of gas-insulated equipment according to claim 4, characterized in that: The absorbing of the measured gas includes evacuating the measured gas through a vacuum pump and absorbing the measured gas using high-efficiency activated carbon.

6. The insulation fault type detection method of gas-insulated equipment according to claim 5, characterized in that: Determining the insulation fault type by gas component concentration includes determining the final fault type by the relationship between the characteristic decomposition product concentration and the insulation fault type.

7. The insulation fault type detection method of gas-insulated equipment according to claim 6, characterized in that: Determining the insulation fault type by gas component concentration also includes the variation trend of gas component concentration of GIS equipment under different insulation fault types with discharge time.

8. A system using the insulation fault type detection method of gas-insulated equipment according to any one of claims 1 to 7, characterized in that: It includes spectrum acquisition module, gas judgment module and fault determination module; The spectrum collection module is used to collect gas from GIS equipment and obtain the spectrum through the first method; The gas judgment module is used to judge the type of decomposed characteristic gas and absorb the measured gas; The fault determination module is used to determine the insulation fault type according to the gas component concentration.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for detecting the insulation fault type of the gas-insulated equipment according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the insulation fault type detection method of the gas-insulated equipment according to any one of claims 1 to 7 are implemented.

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