GIS insulation breakdown identification method and system based on ultrahigh frequency pulse

Abstract

The invention relates to the technical field of voltage test and detection, and discloses an ultrahigh frequency pulse-based GIS insulation breakdown identification method and system, and the method comprises the steps: collecting an ultrahigh frequency electromagnetic pulse original signal excited by insulation breakdown in equipment in real time through a partial discharge ultrahigh frequency sensor in the equipment; based on the pulse time delay of the output signals of the plurality of ultrahigh frequency sensors, positioning the spatial position of an insulation breakdown point; selecting a sensor closest to the breakdown point, and obtaining an ultrahigh-frequency electromagnetic pulse waveform; and based on the time domain characteristics of the waveform, identifying that the insulation breakdown type is SF6 gap breakdown or insulation surface flashover. According to the method, the internal insulation breakdown type is judged based on the electromagnetic signal time domain characteristics, the diagnosis accuracy is improved, high-voltage GIS / GIL equipment repair is more targeted, and the repair time can be further shortened.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electrical test and detection, and particularly relates to a GIS insulation breakdown identification method and system based on a UHF pulse. BACKGROUND

[0002] After being assembled on site, gas insulated switchgear (GIS) and gas insulated transmission line (GIL) need to be subjected to withstand voltage test to find defects and hidden dangers introduced or omitted in the installation phase. In the on-site withstand voltage test, internal insulation breakdown of the GIS / GIL device may occur, mainly including SF6 gap breakdown and insulation piece surface breakdown. Due to the multiple components and long distance of the GIS / GIL device, in order to quickly repair the faulty device and ensure the smooth operation of the device, it is necessary to quickly locate the internal breakdown position and judge the insulation breakdown type to develop a targeted fault repair and recovery plan.

[0003] At present, the GIS / GIL device fault positioning generally adopts ultrasonic positioning method, acoustic imaging breakdown positioning method and broadband transient voltage traveling wave positioning method. However, the ultrasonic positioning method and acoustic imaging method are arranged in the external space of the GIS / GIL device, which is greatly affected by the external environment, and has problems such as insufficient positioning accuracy, easy to be disturbed, etc., and also cannot accurately judge the breakdown type. The insulation breakdown positioning method based on transient voltage traveling wave needs to specially preset a transient voltage sensor on the GIS / GIL device. For the GIS / GIL device that has been installed, it is necessary to re-install the transient voltage sensor, and the on-site implementation feasibility and convenience are low. Therefore, it is necessary to explore a feasible and effective internal insulation breakdown positioning and identification technology in combination with the existing structure of the GIS / GIL device. SUMMARY

[0004] In view of the above existing problems, the present application is proposed.

[0005] Therefore, the present application provides a GIS insulation breakdown identification method based on a UHF pulse, which can capture the UHF electromagnetic wave signal excited at the breakdown moment based on a partial discharge UHF sensor, locate the breakdown point position through UHF signal time difference analysis, and identify SF6 gap breakdown and insulation surface discharge through UHF signal overall waveform feature and transient wave head feature analysis.

[0006] To solve the above technical problems, the application provides the following technical scheme, a GIS insulation breakdown identification method based on a UHF pulse, comprising: collecting, by a partial discharge UHF sensor inside a device, a UHF electromagnetic pulse original signal excited by internal insulation breakdown of the device in real time; positioning a spatial position of an insulation breakdown point based on a pulse time delay of output signals of a plurality of UHF sensors; selecting a sensor closest to the breakdown point to obtain a UHF electromagnetic pulse waveform; and identifying the insulation breakdown type as SF6 gap breakdown or insulation surface flashover based on a time domain feature of the waveform.

[0007] As a preferred scheme of the GIS insulation breakdown identification method based on a UHF pulse, the collecting of the UHF electromagnetic pulse original signal excited by internal insulation breakdown of the device comprises: pre-processing a sensor signal by a UHF amplification processing unit, and amplifying and filtering high-frequency components in a set frequency band.

[0008] As a preferred scheme of the GIS insulation breakdown identification method based on a UHF pulse, the positioning of the spatial position of the insulation breakdown point comprises: selecting at least two UHF sensors, setting a distance between the two sensors as L, a time difference between a signal of sensor 1 and a signal of sensor 2 as △T, and a propagation speed of an electromagnetic wave in the GIS / GIL as c.

[0009] According to the distance L, the time difference △T and the propagation speed c, a distance l of the breakdown point from the sensor 1 is calculated, wherein the breakdown point is located on a line connecting the sensor 1 and the sensor 2.

[0010] As a preferred scheme of the GIS insulation breakdown identification method based on a UHF pulse, the time domain feature comprises: an overall waveform feature and a transient wave head feature.

[0011] The overall waveform feature is used to determine whether the breakdown type is SF6 gap breakdown or insulation surface flashover.

[0012] The transient wave head feature is used to determine whether the breakdown type is SF6 gap breakdown or insulation surface flashover.

[0013] As a preferred scheme of the GIS insulation breakdown identification method based on a UHF pulse, the analysis step of the overall waveform feature specifically comprises: extracting a duration of the UHF signal and a discharge pulse distribution.

[0014] When the duration is greater than a first threshold value, the breakdown signal is determined.

[0015] If two or more large-amplitude partial discharge pulses exist before the breakdown signal, the breakdown type is determined as SF6 gap breakdown; otherwise, the breakdown type is determined as insulation surface flashover.

[0016] As a preferred scheme of the GIS insulation breakdown recognition method based on ultra-high frequency pulse, the analysis of the transient wave head feature is specifically extracting the rise time of the ultra-high frequency signal wave head, and the rise time is the time required for the signal amplitude to rise from 10% peak value to 90% peak value.

[0017] When the rise time is greater than the second threshold value, it is determined as insulation surface flashover, otherwise it is determined as SF6 gap breakdown.

[0018] As a preferred scheme of the GIS insulation breakdown recognition method based on ultra-high frequency pulse, the selecting of the sensor closest to the breakdown point comprises selecting the ultra-high frequency sensor with a spatial distance of no more than 15 meters from the breakdown point.

[0019] The ultra-high frequency sensor is connected to the ultra-high frequency amplification processing unit through a signal cable, and the ultra-high frequency amplification processing unit amplifies and filters the electromagnetic pulse signal received by the sensor.

[0020] Another object of the present application is to provide a GIS insulation breakdown recognition system based on ultra-high frequency pulse.

[0021] As a preferred scheme of the GIS insulation breakdown recognition system based on ultra-high frequency pulse, it comprises an internal ultra-high frequency sensor, an ultra-high frequency amplification processing unit, an ultra-high frequency signal acquisition unit and a detection and diagnosis terminal.

[0022] The internal ultra-high frequency sensor is pre-installed inside the GIS / GIL device, and is used to capture the ultra-high frequency electromagnetic pulse original signal excited by insulation breakdown in real time.

[0023] The ultra-high frequency amplification processing unit is connected to the sensor through a signal cable, and is used to amplify and filter the high frequency component in the frequency band of 300MHz-1500MHz.

[0024] The ultra-high frequency signal acquisition unit is used to acquire and store the pre-processed ultra-high frequency signal waveform.

[0025] The detection and diagnosis terminal is connected to the acquisition unit through an optical fiber, and is used to perform insulation breakdown point positioning and type identification, and output the determination result of SF6 gap breakdown or insulation surface flashover.

[0026] The present application provides a computer device comprising a memory and a processor, the memory stores a computer program, and the processor implements the steps of the GIS insulation breakdown recognition method based on ultra-high frequency pulse when executing the computer program.

[0027] The application provides a computer readable storage medium, which stores a computer program, and the computer program realizes steps of a GIS insulation breakdown identification method based on a UHF pulse when executed by a processor.

[0028] The method provided by the application is based on a UHF sensor of an existing GIS / GIL to position a fault, avoids additional installation of a sensor, and is easy to implement on site. The method is based on time difference analysis of a UHF electromagnetic signal to position a fault, and has high accuracy. Meanwhile, the method is based on time domain characteristics of an electromagnetic signal to determine an internal insulation breakdown type, improves diagnostic accuracy, makes high-voltage GIS / GIL equipment repair more targeted, and is beneficial to further shorten repair time. BRIEF DESCRIPTION OF DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0030] Figure 1 The method provided by the application is based on a UHF sensor of an existing GIS / GIL to position a fault, avoids additional installation of a sensor, and is easy to implement on site.

[0031] Figure 2 The method provided by the application is based on a UHF sensor of an existing GIS / GIL to position a fault, avoids additional installation of a sensor, and is easy to implement on site.

[0032] Figure 3 The method provided by the application is based on a UHF sensor of an existing GIS / GIL to position a fault, avoids additional installation of a sensor, and is easy to implement on site.

[0033] Figure 4 The method provided by the application is based on a UHF sensor of an existing GIS / GIL to position a fault, avoids additional installation of a sensor, and is easy to implement on site.

[0034] Figure 5 The method provided by the application is based on a UHF sensor of an existing GIS / GIL to position a fault, avoids additional installation of a sensor, and is easy to implement on site.

[0035] Figure 6 The method provided by the application is based on a UHF sensor of an existing GIS / GIL to position a fault, avoids additional installation of a sensor, and is easy to implement on site.

[0036] Figure 7A partial discharge signal schematic diagram of a GIS insulation breakdown recognition method based on a UHF pulse provided by an embodiment of the present application.

[0037] Figure 8 A GIS / GIL device internal insulation piece surface flashover excited UHF signal transient wave head schematic diagram of a GIS insulation breakdown recognition method based on a UHF pulse provided by an embodiment of the present application.

[0038] Figure 9 A GIS / GIL device internal insulation piece surface flashover excited UHF signal transient wave head schematic diagram of a GIS insulation breakdown recognition method based on a UHF pulse provided by an embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present application.

[0040] Embodiment 1, refer to Figures 2-9 For the first embodiment of the present application, the embodiment provides a GIS insulation breakdown recognition method based on a UHF pulse, comprising:

[0041] S1: collecting, by a partial discharge UHF sensor inside the device, a UHF electromagnetic pulse original signal excited by internal insulation breakdown in real time.

[0042] S2: positioning the spatial position of the insulation breakdown point based on the pulse time delay of the output signals of multiple UHF sensors.

[0043] S3: selecting the sensor closest to the breakdown point to obtain the UHF electromagnetic pulse waveform.

[0044] S4: identifying the insulation breakdown type as SF6 gap breakdown or insulation surface flashover based on the time domain characteristics of the waveform.

[0045] The present application provides a method and device for recognizing the GIS / GIL internal insulation breakdown type by using a UHF sensor. The partial discharge UHF sensor pre-installed inside the GIS / GIL device is used to collect the electromagnetic pulse original signal inside the GIS / GIL in real time during the field transfer test process by a high-speed acquisition system. The internal insulation breakdown type is recognized by the time domain characteristics of the electromagnetic signal, which improves the diagnostic accuracy and makes the GIS / GIL device fault repair more targeted, which is beneficial to further shorten the repair time.

[0046] In the field of delivery test evaluation process, the insulation failure in GIS / GIL equipment is mainly divided into two categories, namely insulation surface flashover and SF6 gap breakdown.

[0047] The method flow chart of GIS / GIL internal insulation breakdown type provided by the application is shown in Figure 2 The steps are as follows:

[0048] 1) First, the ultra-high frequency electromagnetic signal excited when the internal breakdown of the equipment occurs is obtained through the ultra-high frequency sensor, and amplified and filtered.

[0049] 2) The original waveform of the ultra-high frequency signal is collected by a high-speed acquisition device.

[0050] 3) The pulse time delay of the output signals of multiple ultra-high frequency sensors is used to calculate the location of the breakdown point. Assuming that the distance between two selected ultra-high frequency sensors (sensor 1 and 2) is L, the ultra-high frequency signal of sensor 1 leads the signal of sensor 2 by time △T, and the propagation speed of electromagnetic waves in GIS / GIL is c, then the distance of the breakdown point from sensor 1 is l=(L-△T×c) / 2.

[0051] 4) The ultra-high frequency electromagnetic pulse waveform measured by the sensor closest to the breakdown point is selected for breakdown type identification.

[0052] In a feasible embodiment, the spatial position of the insulation breakdown point can be located by a three-sensor plane positioning method. Specifically, at least three ultra-high frequency sensors (S1, S2, S3) are arranged inside the GIS equipment or outside the shell (if the sensor is an external type), ensuring that they are not on the same straight line (for example, installed on different sides of the equipment or at the flanges); when insulation breakdown occurs, a high-speed acquisition system synchronously records the accurate time stamps (T1, T2, T3) of the signals reaching each sensor. Calculate the signal arrival time difference between each pair of sensors, and each time difference defines the distance difference between the breakdown point and the two sensors (Si, Sj) as a constant. The geometric locus that this distance difference satisfies is a hyperbola with Si and Sj as the foci.

[0053] In the two-dimensional plane coordinate system of the GIS pipeline, the intersection of the two hyperbolas is solved. Usually, due to measurement errors, there may be more than one intersection point, and the point inside the GIS pipeline and physically reasonable is selected as the final positioning result. If there is a third time difference, it can be used for further verification or to eliminate ambiguous points.

[0054] In another possible embodiment, the spatial location of the insulation breakdown point can also be located by grid matching based on signal time of arrival (TOA), specifically, according to the actual structure of the GIS device (pipeline layout, size, branch, position of the pot-type insulator, etc.), a fine two-dimensional or three-dimensional grid model is established in the computer. The model contains the GIS internal gas space and main structure. For each grid point (potential breakdown point position) in the model, the theoretical time required for the electromagnetic wave signal to propagate from the grid point to each sensor position is calculated; when insulation breakdown occurs, all sensors record the absolute time stamp (T1, T2,..., Tn) of signal arrival through precise time synchronization;

[0055] Assuming that the breakdown occurs at a certain grid point P, the theoretical time of arrival of each sensor is (Tp1, Tp2,..., Tpn), and the residual (difference) between the actual measured time stamp (T1, T2,..., Tn) and the theoretical time (Tp1, Tp2,..., Tpn) is calculated; all grid points P in the model are traversed, and the corresponding Sum_Sq_Error is calculated. Find the grid point P that makes Sum_Sq_Error minimum, which is the located breakdown point position.

[0056] The internal insulation breakdown type recognition method based on the original ultra-high frequency electromagnetic pulse signal includes two aspects, which are based on the overall waveform characteristics and the transient wave head characteristics.

[0057] As shown in Figure 3 , the breakdown type recognition based on the overall waveform characteristics of the ultra-high frequency signal includes the following specific steps:

[0058] 1) First, extract the overall waveform characteristics of the ultra-high frequency signal, including the duration of the signal and the distribution of the discharge pulse.

[0059] 2) Determine whether the waveform duration is greater than the set threshold 1; if yes, the ultra-high frequency signal is the electromagnetic signal generated by internal breakdown, and step 3 is continued; if not, the ultra-high frequency signal is the electromagnetic signal excited by partial discharge.

[0060] 3) Determine whether there are multiple large amplitude partial discharge signals before the electromagnetic pulse generated by the breakdown; if yes, the signal is caused by internal SF6 gap breakdown of the device; if not, the signal is caused by internal insulation surface breakdown of the device.

[0061] As shown in Figure 4 , the breakdown type recognition based on the transient wave head characteristics of the ultra-high frequency signal includes the following specific steps:

[0062] 1) Extract the rise time of the transient wave head of the ultra-high frequency signal, specifically the time required for the signal amplitude to rise from 10% peak value to 90% peak value.

[0063] 2) Determine whether the rise time of the wavefront is greater than the set threshold 2; if yes, the signal is generated by the surface breakdown of the internal insulation of the equipment; if no, the signal is generated by the breakdown of the SF6 gap inside the equipment.

[0064] The overall waveform of the ultra-high frequency signal excited by surface flashover of internal insulation components in GIS / GIL equipment is as follows: Figure 5 As shown. The amplitude of the UHF signal front end is within 400mV, the signal duration is about 1700ns, and the signal amplitude does not significantly decay over time. The overall UHF waveform signal excited by the breakdown of the SF6 gap inside the GIS / GIL equipment is as follows. Figure 6 As shown. The amplitude of the UHF signal front end reaches 600mV, with a duration of approximately 2000ns, and the signal amplitude does not significantly decay with the duration. Simultaneously, before the UHF pulse generated by the breakdown of the SF6 gap inside the equipment, there are multiple partial discharge pulse signals with relatively large amplitudes, which are significantly different from the UHF signal excited by flashover on the surface of the insulating component. Furthermore, as... Figure 7 As shown, the duration of the ultra-high frequency signal excited by the partial discharge signal is usually less than 1000 ns. Therefore, when using the signal duration to determine whether it is a breakdown signal, the threshold 1 can be set to 1000 ns.

[0065] The transient wavefront of the ultra-high frequency signal excited by surface flashover of internal insulation components in GIS / GIL equipment, such as Figure 8 As shown in the figure, the signal rise time exceeds 50 ns. The transient wavefront of the UHF signal excited by surface flashover of the internal insulation components of the GIS / GIL equipment is as follows. Figure 9 As shown in the figure, the signal wavefront is relatively steep, with a rise time of less than 1 ns. Therefore, when using the transient wavefront rise time to identify the breakdown type, the threshold can be set to 10 ns.

[0066] Example 2 is the second embodiment of the present invention, which differs from the previous embodiment in that:

[0067] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the technical solutions that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0068] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logic functions, which can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus or device, such as a computer-based system, a system including a processor or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or in conjunction with these instructions execution systems, apparatus or devices. For the purpose of this specification, the "computer-readable medium" can be any device that can contain, store, communicate, propagate or transport programs for use by or in connection with an instruction execution system, apparatus or device, or in conjunction with these instruction execution systems, apparatus or devices.

[0069] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium can even be paper or other suitable medium on which the program can be printed, because the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by editing, interpreting or otherwise processing, if necessary, in other suitable ways, to be electronically obtained and then stored in the computer memory.

[0070] It should be understood that various parts of the present application can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, a plurality of steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and as in another embodiment, it can be implemented using any or a combination of the following technologies, which are known in the art: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

[0071] Embodiment 3, with reference to Figure 1 For an embodiment of the present application, a GIS insulation breakdown identification system based on ultra-high frequency pulse is provided, mainly including four modules, namely: internal ultra-high frequency sensor, ultra-high frequency amplification processing unit, ultra-high frequency signal acquisition unit and detection diagnosis terminal. The internal ultra-high frequency sensor is installed on the GIS / GIL device, and the sensor output end is connected to the ultra-high frequency amplification processing unit. The ultra-high frequency amplification processing unit is used to pre-process the electromagnetic pulse signals received by the sensor, specifically to amplify and filter the high frequency components in the range of 300MHz-1500MHz. The ultra-high frequency amplification processing unit is connected to the ultra-high frequency signal acquisition unit through a signal cable. The input impedance of the acquisition unit is 50Ω, the sampling rate is not less than 2Gs / S, and the analog bandwidth is not less than 800MHz. The ultra-high frequency signal acquisition unit is connected to the detection diagnosis terminal through an optical fiber, and the detection diagnosis terminal can control the acquisition unit to complete the acquisition, storage and analysis of the high frequency electromagnetic signals inside the GIS / GIL, and realize the identification of the breakdown type inside the device.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A method for identifying GIS insulation breakdown based on ultra-high frequency pulse, characterized in that: The method comprises the following steps: Real-time acquisition of the original signal of the ultra-high frequency electromagnetic pulse excited by the insulation breakdown inside the equipment through the partial discharge ultra-high frequency sensor inside the equipment; Positioning the spatial position of the insulation breakdown point based on the pulse time delay of the output signals of multiple ultra-high frequency sensors; Selecting the sensor closest to the breakdown point to obtain the waveform of the ultra-high frequency electromagnetic pulse; Identifying the insulation breakdown type based on the time domain characteristics of the waveform.

2. The ultra-high frequency pulse based GIS insulation breakdown identification method of claim 1, wherein: The acquisition of the original signal of the ultra-high frequency electromagnetic pulse excited by the insulation breakdown inside the equipment comprises pre-processing the sensor signal through an ultra-high frequency amplification processing unit and amplifying and filtering the high-frequency components in the set frequency band.

3. The UHF pulse-based GIS insulation breakdown identification method of claim 2, wherein: The positioning of the spatial position of the insulation breakdown point comprises selecting at least two ultra-high frequency sensors, setting the distance between the two sensors as L, the time difference between the signal of sensor 1 and that of sensor 2 as △T, and the propagation speed of the electromagnetic wave in the GIS / GIL as c; According to the distance L, the time difference △T and the propagation speed c, the distance l of the breakdown point from sensor 1 is calculated, wherein the breakdown point is located on the line connecting sensor 1 and sensor 2.

4. The UHF pulse-based GIS insulation breakdown identification method of claim 3, wherein: The time domain characteristics comprise: The overall waveform characteristics and the transient wave head characteristics. The overall waveform characteristics are used to determine whether the breakdown type is SF6 gap breakdown or insulation surface flashover. The transient wave head characteristics are used to determine whether the breakdown type is SF6 gap breakdown or insulation surface flashover.

5. The UHF pulse based GIS insulation breakdown identification method of claim 4, wherein: The analysis steps of the overall waveform characteristics are specifically extracting the duration of the ultra-high frequency signal and the discharge pulse distribution. When the duration is greater than a first threshold value, it is determined that it is a breakdown signal. If there are two or more large amplitude partial discharge pulses before the breakdown signal, it is determined that it is SF6 gap breakdown; otherwise, it is determined that it is insulation surface flashover.

6. The ultra-high frequency pulse based GIS insulation breakdown identification method as claimed in claim 5, wherein: The analysis steps of the transient wave head characteristics are specifically extracting the rise time of the wave head of the ultra-high frequency signal, wherein the rise time is the time required for the signal amplitude to rise from 10% to 90% of the peak value. When the rise time is greater than a second threshold value, it is determined that it is insulation surface flashover; otherwise, it is determined that it is SF6 gap breakdown.

7. The ultra-high frequency pulse based GIS insulation breakdown identification method as claimed in claim 6, wherein: The selection of the sensor closest to the breakdown point comprises selecting an ultra-high frequency sensor with a spatial distance from the breakdown point of not more than 15 meters. The ultra-high frequency sensor is connected to the ultra-high frequency amplification processing unit through a signal cable, and the ultra-high frequency amplification processing unit amplifies and filters the electromagnetic pulse signal received by the sensor.

8. A system for identifying insulation breakdown of GIS using the method of identifying insulation breakdown of GIS based on UHF pulses according to any one of claims 1 to 7, characterized in that: It comprises an internal ultra-high frequency sensor, an ultra-high frequency amplification processing unit, an ultra-high frequency signal acquisition unit and a detection and diagnosis terminal. The internal ultra-high frequency sensor is pre-installed inside the GIS / GIL equipment and is used to capture the original signal of the ultra-high frequency electromagnetic pulse excited by the insulation breakdown in real time. The ultra-high frequency amplification processing unit is connected to the sensor through a signal cable and is used to amplify and filter the high-frequency components in the frequency band of 300MHz-1500MHz. The ultra-high frequency signal acquisition unit is used to acquire and store the pre-processed ultra-high frequency signal waveform. The detection and diagnosis terminal is connected to the acquisition unit through an optical fiber and is used to perform insulation breakdown point positioning and type identification and output the determination result of SF6 gap breakdown or insulation surface flashover. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The computer program is executed by the processor to implement the steps of the ultra-high frequency pulse-based GIS insulation breakdown identification method in any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the ultra-high frequency pulse-based GIS insulation breakdown identification method in any one of claims 1 to 7.

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