CN114355114B - GIS partial discharge detection method, device, medium and terminal equipment - Google Patents

GIS partial discharge detection method, device, medium and terminal equipment Download PDF

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CN114355114B
CN114355114B CN202111211528.XA CN202111211528A CN114355114B CN 114355114 B CN114355114 B CN 114355114B CN 202111211528 A CN202111211528 A CN 202111211528A CN 114355114 B CN114355114 B CN 114355114B
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discharge
sensor
pulse
pulses
positioning result
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王磊
罗颖婷
饶章权
许海林
刘建明
魏瑞增
孙晓敏
邓梓颖
王彤
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Guangdong Power Grid Co Ltd
Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Abstract

The invention discloses a GIS partial discharge detection method, a device, a medium and terminal equipment, wherein the method comprises the following steps: acquiring the time of arrival of a plurality of pulses at each sensor and a discharge pulse waveform; respectively calculating the distance between a discharge source corresponding to each pulse and each sensor according to the time of each pulse reaching each sensor; selecting a plurality of GIS internal discharge pulses generated by non-external interference signals from the plurality of pulses by combining a PRPD map and a local discharge signal amplitude of each pulse obtained from a discharge pulse waveform; and drawing a positioning result distribution graph corresponding to each sensor according to the distance between the discharge source corresponding to the plurality of GIS internal discharge pulses and each sensor, and determining a GIS partial discharge detection result according to the positioning result distribution graph. The embodiment of the GIS partial discharge detection method provided by the invention can simultaneously position a plurality of pulses and identify different types of pulses.

Description

GIS partial discharge detection method, device, medium and terminal equipment
Technical Field
The invention relates to the field of GIS discharge detection, in particular to a GIS partial discharge detection method, a device, a medium and terminal equipment.
Background
The existing partial discharge positioning technology is mainly off-line positioning, ultrahigh frequency signal positioning is carried out by utilizing a time difference method, partial discharge pulse signals are acquired through a plurality of ultrahigh frequency sensors or ultrasonic sensors, then the time when discharge pulses reach each sensor is acquired, the time difference of the moments is calculated, and the position of a discharge source is obtained by combining with the distance information of the sensors.
However, the existing partial discharge positioning technology often only collects a small number of discharge pulses to position a discharge source, and when the distance between partial discharge sensors is 1m, the time difference is less than 5ns, so that the requirement on the accuracy of an arrival time verification instrument is high, and complicated error correction measures may need to be taken to improve the positioning accuracy. Moreover, such partial discharge localization can only be used for off-line detection. In addition, when a plurality of discharge defects exist, discharge signals with small pulse amplitude and low discharge frequency are easily covered by discharge signals with large pulse amplitude and high discharge frequency, so that only the discharge pulse of one defect can be concerned during positioning, and other discharge defects are ignored.
Disclosure of Invention
The embodiment of the invention provides a GIS partial discharge detection method, which can accurately detect the time when a pulse reaches a sensor according to the pulse waveform, and can distinguish the discharge types of a plurality of discharge pulses by combining a PRPD map, so that a plurality of pulses of different types can be positioned and identified at the same time.
In order to achieve the above object, a first aspect of the embodiments of the present application provides a GIS partial discharge detection method, where the method includes:
acquiring the time of arrival of a plurality of pulses at each sensor and a discharge pulse waveform;
respectively calculating the distance between a discharge source corresponding to each pulse and each sensor according to the time of each pulse reaching each sensor;
obtaining a PRPD map and a local discharge signal amplitude of each pulse according to the discharge pulse waveform, and selecting a plurality of GIS internal discharge pulses generated by non-external interference signals from the plurality of pulses by combining the PRPD map and the local discharge signal amplitude of each pulse;
drawing a positioning result distribution graph corresponding to each sensor according to the distance between a discharge source corresponding to the plurality of GIS internal discharge pulses and each sensor;
and determining a GIS partial discharge detection result according to all the positioning result distribution maps.
In a possible implementation manner of the first aspect, the acquiring times of arrival of the multiple pulses at the sensors specifically includes:
and acquiring the time of a plurality of pulses reaching each sensor by adopting a rising edge trigger mechanism, and taking 2 times of the maximum value of the amplitude values of the first m sampling points of the discharge pulse waveform as a trigger threshold value of the rising edge trigger mechanism, wherein m is a positive integer.
In a possible implementation manner of the first aspect, the time when each pulse reaches the sensor is a time when the discharge pulse waveform corresponding to each pulse first crosses the trigger threshold.
In a possible implementation manner of the first aspect, the calculating the distance between the discharge source corresponding to each pulse and each sensor specifically includes:
acquiring a first arrival time and a second arrival time of the q-th discharge pulse reaching the first sensor and the second sensor, and calculating the time difference of the two times; wherein q is a positive integer;
adding a preset window to the discharge pulse waveform near the first arrival time and the second arrival time;
calculating the correlation of the q discharge pulse waveforms collected by the first sensor and the second sensor in the preset window;
adjusting the time difference between the two moments according to the value of the correlation parameter when the correlation is maximum;
and calculating the distance between the discharge source corresponding to the q-th discharge pulse and the first sensor by using a time difference method.
In a possible implementation manner of the first aspect, the drawing a positioning result distribution map corresponding to each sensor specifically includes:
and drawing a first positioning result distribution graph corresponding to the first sensor, wherein the first positioning result distribution graph takes the distance between a discharge source corresponding to the GIS internal discharge pulse and the first sensor as an abscissa and the number of positioning results as an ordinate.
In a possible implementation manner of the first aspect, the determining a final positioning result according to the positioning result distribution map specifically includes:
if the distribution diagram of the positioning result only has one unique peak value, taking the unique peak value as a final positioning result;
if the positioning result distribution map has a plurality of peak values, selecting a plurality of GIS internal discharge pulses of one discharge type according to the PRPD map each time, and drawing a plurality of sub-positioning result distribution maps by adopting the distances between discharge sources corresponding to the GIS internal discharge pulses of the discharge type and each sensor; and taking the peak value of each sub-positioning result distribution graph as the positioning result of one type of discharge defects.
In one possible implementation of the first aspect, all sensors are uhf sensors.
A second aspect of the embodiments of the present application provides a GIS partial discharge detection apparatus, including:
the acquisition module is used for acquiring the time of a plurality of pulses reaching each sensor and the discharge pulse waveform;
the calculation module is used for respectively calculating the distance between the discharge source corresponding to each pulse and each sensor according to the time of each pulse reaching each sensor;
the selection module is used for obtaining a PRPD map and a local discharge signal amplitude of each pulse according to the discharge pulse waveform, and selecting a plurality of GIS internal discharge pulses generated by non-external interference signals from the plurality of pulses by combining the PRPD map and the local discharge signal amplitude of each pulse;
the drawing module is used for drawing a positioning result distribution graph corresponding to each sensor according to the distance between a discharge source corresponding to the plurality of GIS internal discharge pulses and each sensor;
and the positioning module is used for determining a GIS partial discharge detection result according to all the positioning result distribution maps.
A third aspect of embodiments of the present application provides a computer-readable storage medium comprising a stored computer program; wherein the computer program, when running, controls the device where the computer readable storage medium is located to execute the GIS partial discharge detection method as described above.
A fourth aspect of embodiments of the present application provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the GIS partial discharge detection method as described above when executing the computer program.
Compared with the prior art, the GIS partial discharge detection method provided by the embodiment of the invention has the advantages that the ultrahigh frequency sensor is arranged, the arrival time of the ultrahigh frequency sensor at the sensor is accurately detected according to the pulse waveform, the discharge pulses are detected for a period of time, the distance between each pulse and each sensor in the whole period of time is calculated in a pairwise grouping mode of the sensors, and finally the final positioning result is determined by utilizing probability statistics. In addition, the PRPD map can be combined to determine whether the discharge pulse comes from the discharge source before drawing the positioning result distribution map, so that the positioning result distribution map of the discharge defect in the GIS is only required to be drawn during drawing.
The embodiment of the invention is based on the discharge pulse microscopic information, and can accurately detect the time when the pulse waveform reaches the sensor according to the pulse waveform, so that the detection time is accurate to nanosecond level; and when a plurality of discharge defects exist in the GIS, a plurality of peak values exist in the positioning distribution map, the positioning results belonging to different discharges in the PRPD map can be respectively selected to respectively draw the positioning distribution map of each discharge defect, and the positioning accuracy is further improved.
Drawings
Fig. 1 is a schematic flowchart of a method for detecting partial discharge of a GIS according to an embodiment of the present invention;
FIG. 2 is a diagram of a positioning result of a discharge source corresponding to a discharge pulse inside a GIS relative to a first sensor according to an embodiment of the present invention;
FIG. 3 is a plot of a localization results distribution with multiple peaks in accordance with an embodiment of the present invention;
FIG. 4 is a sub-localization diagram of each discharge defect mapped after distinguishing different discharge types in one embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a method for detecting GIS partial discharge, where the method includes:
and S10, acquiring the time of arrival of a plurality of pulses at each sensor and the waveform of the discharge pulse.
And S11, respectively calculating the distance between the discharge source corresponding to each pulse and each sensor according to the time of each pulse reaching each sensor.
S12, obtaining a PRPD map and a local discharge signal amplitude of each pulse according to the discharge pulse waveform, and selecting a plurality of GIS internal discharge pulses generated by non-external interference signals from the plurality of pulses by combining the PRPD map and the local discharge signal amplitude of each pulse.
And S13, according to the distances between the discharge sources corresponding to the plurality of GIS internal discharge pulses and the sensors, distributing the positioning result corresponding to each sensor.
And S14, determining a GIS partial discharge detection result according to all the positioning result distribution maps.
The acquisition of a plurality of pulses is equivalent to the acquisition of partial discharge signals within a period of time, the acquisition and acquisition of the discharge signals with small pulse amplitude and low discharge frequency can be performed within a period of time, and then the acquired pulse waveforms are analyzed to distinguish which signals belong to the same discharge source. In actual detection, the number of pulses to be acquired depends on the time to be acquired, and for acquiring data of 1 second, more than or equal to 10 pulses, acquiring data of 2 seconds, more than or equal to 20 pulses, and so on.
In step S12, the type of the PRPD map is identified, and the diagnosis result is discharge of the type such as floating discharge and corona discharge, and is not an interference signal such as a mobile phone signal and a radar signal. Based on the above, it can be distinguished which pulse signals are generated by the discharge signals inside the GIS.
In the whole positioning process, the positioning work is automatically completed by an instrument, an operator only needs to measure the distance between the sensors on site, the instrument can be placed on the site to automatically complete the detection and storage of signals, and then the stored historical data is positioned without arranging personnel on site. Generally speaking, in order to ensure the accuracy of a positioning result, the positions among the sensors need to be determined when an online monitoring device is installed for debugging, 4-7 sensors are generally installed at intervals (three-phase common box) of a 220kVGIS main transformer (line), the number of the sensors installed in different GIS structures is different, and the sensors need to be arranged according to attenuation characteristics.
Compared with the prior art, the GIS partial discharge detection method provided by the embodiment of the invention is characterized in that the ultrahigh frequency sensor is arranged, the arrival time of the ultrahigh frequency sensor at the sensor is accurately detected according to the pulse waveform, the plurality of discharge pulses are detected for a period of time, the distance between each pulse and each sensor in the whole period of time is calculated in a pairwise grouping mode of the sensors, and finally the final positioning result is determined by utilizing probability statistics. In addition, the PRPD map can be combined to determine whether the discharge pulse comes from the discharge source before drawing the positioning result distribution map, so that the positioning result distribution map of the discharge defects in the GIS is drawn only.
Illustratively, the acquiring the time of arrival of the multiple pulses at each sensor specifically includes:
and acquiring the time of a plurality of pulses reaching each sensor by adopting a rising edge trigger mechanism, and taking 2 times of the maximum value of the amplitude values of the first m sampling points of the discharge pulse waveform as a trigger threshold value of the rising edge trigger mechanism, wherein m is more than or equal to 1.
The trigger threshold may be expressed by the following formula:
T i =2max|x qi (n)|
wherein, ti represents a threshold value set by the ith sensor, xqi (n) represents the amplitude of the nth sampling point in the first m sampling points of the qth pulse waveform collected by the ith sensor, and the value range of i is i =1,2, and the value range of n is n =1,2; m is a positive integer.
Illustratively, the time at which each pulse reaches the respective sensor is the time at which the discharge pulse waveform corresponding to each pulse first crosses the trigger threshold.
Illustratively, the calculating the distance between the discharge source corresponding to each pulse and each sensor includes:
obtaining a first arrival time t of the q discharge pulse to the first sensor and the second sensor q1 And a second arrival time t q2 And calculating the time difference Deltat between the two moments q =t q2 -t q1 (ii) a Wherein q is a positive integer;
at the first arrival time t q1 And said second arrival time t q2 The nearby discharge pulse waveform adds a preset window.
The width of the preset window is 2p, and two reaching moments t q1 And t q2 The waveform collected by the sampling window with the width of 2p is added nearby, and the most core section of the waveform is positioned.
The first sensor is one selected from the sensors, and the second sensor may be any sensor other than the first sensor.
Calculating the correlation of the q discharge pulse waveforms collected by the first sensor and the second sensor in the preset window, wherein the calculation formula is as follows:
Figure BDA0003309043090000071
in the formula, R q12 (j) Representing the correlation between the q pulse waveforms collected by the first sensor and the second sensor from-p to p, wherein the value range of j is j = -p, -p + 1.., p;
adjusting the time difference between the two moments according to the value of the correlation parameter when the correlation is maximum, specifically:
compare each R q12 (j) Finding the value of R q12 (j) J when the discharge pulse reaches the maximum value, finely adjusting the time difference of the qth discharge pulse reaching the first sensor and the second sensor respectively, wherein the fine adjustment formula is as follows:
Δt q '=Δt q +j;
then, calculating the distance between the discharge source corresponding to the q-th discharge pulse and the first sensor by using a time difference method, wherein the calculation formula is as follows:
Figure BDA0003309043090000081
referring to fig. 2, for example, the plotting a positioning result distribution map corresponding to each sensor specifically includes:
and drawing a first positioning result distribution graph corresponding to the first sensor, wherein the first positioning result distribution graph takes the distance between a discharge source corresponding to the discharge pulse in the GIS and the first sensor as an abscissa, the unit of an abscissa is meter, the number of positioning results is taken as an ordinate, and the unit of a longitudinal direction is unit.
Exemplarily, the determining a final positioning result according to the positioning result distribution map specifically includes:
referring to fig. 2, if the localization result distribution map has only one unique peak, the unique peak is taken as the final localization result.
Referring to fig. 3, if the positioning result distribution map has a plurality of peak values, a plurality of GIS internal discharge pulses of one discharge type are selected according to the PRPD map each time, and a plurality of sub-positioning result distribution maps are drawn by using distances between discharge sources corresponding to the plurality of GIS internal discharge pulses of the discharge type and each sensor; and taking the peak value of each sub-positioning result distribution graph as the positioning result of one type of discharge defects.
When the type of the PRPD map is identified, the GIS internal discharge pulse classification type is divided into discharge types such as suspension discharge, corona discharge and the like. When a plurality of discharge defects exist, a plurality of peak values exist in the positioning distribution map, and subsequently, positioning results (distances between discharge sources corresponding to different types of GIS internal discharge pulses and sensors) belonging to different discharge types in the PRPD map need to be selected respectively to draw the positioning distribution map of each discharge defect, so that the positioning accuracy is further improved.
For example, if the localization result distribution map in fig. 3 has 2 peaks, it is necessary to select a discharge type of GIS internal discharge pulse according to the PRPD map obtained in S12, and draw the sub-localization result distribution map by using the distances between the discharge source and each sensor corresponding to the discharge type of GIS internal discharge pulse, and since the localization result distribution map has 2 peaks, it is necessary to repeat the drawing twice to draw two sub-localization result distribution maps. By analogy, if the positioning result distribution diagram has N peak values, the discharge pulses inside the GIS need to be divided into N types, the distances between the discharge source corresponding to the discharge pulse inside the GIS of one discharge type and each sensor are selected each time to draw the sub-positioning result distribution diagram, and the sub-positioning result distribution diagram is repeatedly executed for N times.
Illustratively, all sensors are uhf sensors.
The embodiment of the invention is based on the discharge pulse microscopic information, and can accurately detect the time when the pulse reaches the sensor according to the pulse waveform, so that the detection time is accurate to nanosecond level; and when a plurality of discharge defects exist in the GIS, a plurality of peak values exist in the positioning distribution map, the positioning results belonging to different discharges in the PRPD map can be respectively selected to respectively draw the positioning distribution map of each discharge defect, and the positioning accuracy is further improved.
The embodiment of the invention also provides a GIS partial discharge detection device which comprises an acquisition module, a calculation module, a selection module, a drawing module and a positioning module.
And the acquisition module is used for acquiring the time of the multiple pulses reaching each sensor and the discharge pulse waveform.
And the calculation module is used for respectively calculating the distance between the discharge source corresponding to each pulse and each sensor according to the time of each pulse reaching each sensor.
And the selection module is used for obtaining a PRPD map and a local discharge signal amplitude of each pulse according to the discharge pulse waveform, and selecting a plurality of GIS internal discharge pulses generated by non-external interference signals from the plurality of pulses by combining the PRPD map and the local discharge signal amplitude of each pulse.
And the drawing module is used for drawing a positioning result distribution diagram corresponding to each sensor according to the distance between the discharge source corresponding to the plurality of GIS internal discharge pulses and each sensor.
And the positioning module is used for determining a GIS partial discharge detection result according to all the positioning result distribution maps.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; when running, the computer program controls the device where the computer-readable storage medium is located to execute the GIS partial discharge detection method according to any of the above embodiments.
An embodiment of the present invention further provides a terminal device, where the terminal device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the GIS partial discharge detection method according to any of the above embodiments when executing the computer program.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program) that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor may be any conventional Processor, the Processor is a control center of the terminal device, and various interfaces and lines are used to connect various parts of the terminal device.
The memory mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or may also be other volatile solid state memory devices.
It should be noted that the terminal device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the terminal device is only an example and does not constitute a limitation of the terminal device, and may include more or less components, or combine some components, or different components.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (8)

1. A GIS partial discharge detection method is characterized by comprising the following steps:
acquiring the time of arrival of a plurality of pulses at each sensor and a discharge pulse waveform;
respectively calculating the distance between the discharge source corresponding to each pulse and each sensor according to the time of each pulse reaching each sensor, and specifically comprising the following steps: acquiring a first arrival time and a second arrival time of the q-th discharge pulse reaching the first sensor and the second sensor, and calculating the time difference of the two times; wherein q is a positive integer; adding a preset window to the discharge pulse waveform near the first arrival time and the second arrival time; calculating the correlation of the q discharge pulse waveforms collected by the first sensor and the second sensor in the preset window; adjusting the time difference between the two moments according to the value of the correlation parameter when the correlation is maximum; calculating the distance between the discharge source corresponding to the q discharge pulse and the first sensor by using a time difference method;
obtaining a PRPD map and a local discharge signal amplitude of each pulse according to the discharge pulse waveform, and selecting a plurality of GIS internal discharge pulses generated by non-external interference signals from the plurality of pulses by combining the PRPD map and the local discharge signal amplitude of each pulse;
drawing a positioning result distribution diagram corresponding to each sensor according to the distance between a discharge source corresponding to the plurality of GIS internal discharge pulses and each sensor;
determining a GIS partial discharge detection result according to all the positioning result distribution maps, which specifically comprises the following steps: if the positioning result distribution graph only has one unique peak value, taking the unique peak value as a final positioning result; if the positioning result distribution map has a plurality of peak values, selecting a plurality of GIS internal discharge pulses of one discharge type according to the PRPD map each time, and drawing a plurality of sub-positioning result distribution maps by adopting the distances between discharge sources corresponding to the plurality of GIS internal discharge pulses of one discharge type and each sensor; and taking the peak value of each sub-positioning result distribution graph as the positioning result of one type of discharge defects.
2. The GIS partial discharge detection method of claim 1, wherein the obtaining of the arrival time of the plurality of pulses at each sensor specifically comprises:
and acquiring the time of a plurality of pulses reaching each sensor by adopting a rising edge trigger mechanism, and taking 2 times of the maximum value of the amplitude of the first m sampling points of the discharge pulse waveform as a trigger threshold value of the rising edge trigger mechanism, wherein m is a positive integer.
3. The GIS partial discharge detection method of claim 2, wherein the time for each pulse to reach the sensors is the time when the discharge pulse waveform corresponding to each pulse first crosses the trigger threshold.
4. The GIS partial discharge detection method of claim 1, wherein the drawing of the localization result distribution map corresponding to each sensor specifically includes:
and drawing a first positioning result distribution graph corresponding to the first sensor, wherein the first positioning result distribution graph takes the distance between a discharge source corresponding to the GIS internal discharge pulse and the first sensor as an abscissa and the number of positioning results as an ordinate.
5. The GIS partial discharge detection method of claim 1, wherein all sensors are uhf sensors.
6. A GIS partial discharge detection apparatus, comprising:
the acquisition module is used for acquiring the time of a plurality of pulses reaching each sensor and the discharge pulse waveform;
the calculation module is used for calculating the distance between the discharge source corresponding to each pulse and each sensor according to the time of each pulse reaching each sensor, and specifically comprises: acquiring a first arrival time and a second arrival time of the q-th discharge pulse reaching the first sensor and the second sensor, and calculating the time difference of the two times; wherein q is a positive integer; adding a preset window to the discharge pulse waveform near the first arrival time and the second arrival time; calculating the correlation of the q discharge pulse waveforms collected by the first sensor and the second sensor in the preset window; adjusting the time difference between the two moments according to the value of the correlation parameter when the correlation is maximum; calculating the distance between the discharge source corresponding to the q discharge pulse and the first sensor by using a time difference method;
the selection module is used for obtaining a PRPD map and a local discharge signal amplitude of each pulse according to the discharge pulse waveform, and selecting a plurality of GIS internal discharge pulses generated by non-external interference signals from the plurality of pulses by combining the PRPD map and the local discharge signal amplitude of each pulse;
the drawing module is used for drawing a positioning result distribution diagram corresponding to each sensor according to the distance between a discharge source corresponding to the plurality of GIS internal discharge pulses and each sensor;
the positioning module is used for determining a GIS partial discharge detection result according to all the positioning result distribution maps, and specifically comprises the following steps: if the positioning result distribution graph only has one unique peak value, taking the unique peak value as a final positioning result; if the positioning result distribution map has a plurality of peak values, selecting a plurality of GIS internal discharge pulses of one discharge type according to the PRPD map each time, and drawing a plurality of sub-positioning result distribution maps by adopting the distances between discharge sources corresponding to the plurality of GIS internal discharge pulses of one discharge type and each sensor; and taking the peak value of each sub-positioning result distribution graph as the positioning result of one type of discharge defects.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program, when running, controls the device on which the computer-readable storage medium is located to perform the GIS partial discharge detection method according to any one of claims 1 to 5.
8. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the GIS partial discharge detection method of any of claims 1 to 5 when executing the computer program.
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