Method and device for partial discharge detection based on edge ai

Abstract

The method and device for partial discharge detection based on edge AI provided by the present disclosure belong to the field of partial discharge detection, and the method comprises the following steps: acquiring capability information of m edge partial discharge detection devices; establishing n edge partial discharge detection device groups according to the capability information, each edge partial discharge detection device group comprising at least two edge partial discharge detection devices; determining that the capability information set of the at least one partial discharge detection device constitutes the edge partial discharge detection device group capability information; and controlling part or all of the n edge partial discharge detection device groups to perform partial discharge detection. The method groups the edge partial discharge detection devices according to the capability information of the edge partial discharge detection devices and controls part or all of the edge partial discharge detection device groups to perform partial discharge detection, thereby reducing the performance requirements of the edge partial discharge detection devices and improving the intelligence of the edge partial discharge detection.

Description

Technical Field

[0001] This application relates to the field of partial discharge monitoring, and in particular to a method and apparatus for detecting edge partial discharge based on edge AI. Background Technology

[0002] With the development of AI technology, applying AI for partial discharge detection is a future trend. AI applications can be categorized into cloud-based AI deployment and edge-based AI deployment.

[0003] To ensure the real-time performance of data processing and the need for privacy protection, the deployment of AI at the edge has gradually gained industry recognition. However, due to the limited processing capabilities of edge devices, they can usually only perform intelligent analysis of specific partial discharges.

[0004] How to use edge partial discharge detection equipment for partial discharge detection is a problem that needs to be solved. Summary of the Invention

[0005] In view of this, this application proposes a partial discharge detection method, device, electronic device and storage medium based on edge AI.

[0006] To achieve the above objectives, this application provides a partial discharge detection method based on edge AI, comprising:

[0007] Obtain capability information for m edge partial discharge detection devices. The capability information includes one or more of the following: partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data, where m is an integer and m>2.

[0008] Based on the capability information, n edge partial discharge detection device groups are established, each edge partial discharge detection device group includes at least two edge partial discharge detection devices, where n is an integer and n≤m;

[0009] The capability information set of the at least one edge partial discharge detection device constitutes the capability information of the edge partial discharge detection device group;

[0010] Based on the capability information of the edge partial discharge detection device group, control some or all of the edge partial discharge detection device groups in the n edge partial discharge detection device groups to perform partial discharge detection.

[0011] Based on the same concept, this application also provides a device for partial discharge detection based on edge AI, comprising:

[0012] The acquisition module is used to acquire capability information of m edge partial discharge detection devices. The capability information includes one or more of the following: partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data, where m is an integer and m>2.

[0013] A group creation module is used to create n edge partial discharge detection device groups based on the capability information. Each edge partial discharge detection device group includes at least two edge partial discharge detection devices, where n is an integer and n≤m.

[0014] The determination module is used to determine whether the capability information set of the at least one edge partial discharge detection device constitutes the capability information of the edge partial discharge detection device group.

[0015] The control group module is used to control some or all of the n edge partial discharge detection device groups to perform partial discharge detection based on the capability information of the edge partial discharge detection device group.

[0016] Based on the same concept, this application also provides an electronic device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement the edge AI-based partial discharge detection method as described in any of the preceding claims.

[0017] Based on the same concept, this application also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the edge AI-based partial discharge detection method as described in any of the preceding claims. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments will be briefly described below. Obviously, the drawings described below only relate to some embodiments of the present invention and are not intended to limit the present invention.

[0019] Figure 1 This is a schematic flowchart of a partial discharge detection method provided in an embodiment of this application;

[0020] Figure 2 This is another schematic flowchart of the partial discharge detection method provided in the embodiments of this application;

[0021] Figure 3 This is a schematic diagram of the resource structure of the partial discharge detection device group provided in an embodiment of this application;

[0022] Figure 4 This is a schematic diagram of the structure of the partial discharge detection device group provided in the embodiments of this application;

[0023] Figure 5A This is a schematic diagram of a process for acquiring partial discharge detection data provided in an embodiment of this application;

[0024] Figure 5B This is another schematic diagram of the process by which the partial discharge detection equipment group provided in the embodiments of this application acquires partial discharge detection data;

[0025] Figure 6 This is a schematic diagram of the partial discharge detection device provided in an embodiment of this application;

[0026] Figure 7 This is a schematic diagram of an electronic device structure provided according to an embodiment of this application;

[0027] Figure 8 This is a schematic diagram of a storage medium provided according to an embodiment of this application. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Unless otherwise defined, the technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains. The terms “first,” “second,” and similar terms used in the specification and claims of this patent application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as “comprising” or “including” mean that the technical feature preceding the term encompasses the technical features listed following the term and their equivalents, without excluding other technical features.

[0030] At least one embodiment of this application provides a partial discharge detection method. The method includes: acquiring capability information of m edge partial discharge detection devices, the capability information including one or more of the following: partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data, where m is an integer and m>2; establishing n edge partial discharge detection device groups based on the capability information, each edge partial discharge detection device group including at least one edge partial discharge detection device, where n is an integer and n≤m; determining that the set of capability information of the at least one edge partial discharge detection device constitutes the capability information of the edge partial discharge detection device group; and controlling some or all of the n edge partial discharge detection device groups to perform partial discharge detection based on the edge partial discharge detection device group capability information. This method, by grouping edge partial discharge devices according to their capability information and controlling some or all of the edge partial discharge detection device groups to perform partial discharge detection, reduces the performance requirements of edge partial discharge detection devices and improves the intelligence of edge partial discharge detection.

[0031] At least one embodiment of this application also provides a partial discharge detection device, including an acquisition module for acquiring capability information of m edge partial discharge detection devices, the capability information including one or more of partial discharge detection type, number of partial discharge detection sensors, and partial discharge detection data volume, where m is an integer and m>2; a group establishment module for establishing n edge partial discharge detection device groups based on the capability information, each edge partial discharge detection device group including at least one edge partial discharge detection device, where n is an integer and n≤m; a determination module for determining that the set of capability information of the at least one partial discharge detection device constitutes the capability information of the edge partial discharge detection device group; and a control group module for controlling some or all of the n edge partial discharge detection device groups to perform partial discharge detection based on the capability information of the edge partial discharge detection device groups. This method, by grouping edge partial discharge devices according to their capability information and controlling some or all of the partial discharge detection device groups to perform partial discharge detection, reduces the performance requirements of edge partial discharge detection devices and improves the intelligence of edge partial discharge detection.

[0032] At least one embodiment of this disclosure also provides an electronic device, which includes: one or more processors and a storage device; the storage device is used to store one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement any of the partial discharge detection methods provided in the embodiments of this disclosure.

[0033] At least one embodiment of this disclosure also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform any of the partial discharge detection methods provided in the embodiments of this disclosure.

[0034] Figure 1 This is a schematic flowchart of a partial discharge detection method provided in an embodiment of this application. Figure 1 As shown, the method includes:

[0035] Step 102: Obtain capability information for m edge partial discharge detection devices. The capability information includes one or more of the following: partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data, where m is an integer and m>2.

[0036] Step 104: Establish n edge partial discharge detection device groups based on the capability information. Each edge partial discharge detection device group includes at least one edge partial discharge detection device, where n is an integer and n≤m;

[0037] Step 106: Determine that the capability information set of the at least one edge partial discharge detection device constitutes the capability information of the edge partial discharge detection device group;

[0038] Step 108: Control some or all of the edge partial discharge detection equipment groups in the n edge partial discharge detection equipment groups to perform partial discharge detection according to the capability information of the edge partial discharge detection equipment group.

[0039] According to embodiments of this disclosure, the partial discharge detection type includes one or more of corona discharge detection, surface discharge detection, internal discharge detection, suspended discharge detection, and void discharge detection; the number of partial discharge detection sensors is the number of partial discharge detection sensors that can be connected to the edge partial discharge detection device; and the amount of partial discharge detection data is the amount of partial discharge detection data that the edge partial discharge detection device can process per unit time.

[0040] According to an embodiment of this disclosure, establishing n edge partial discharge detection device groups based on the capability information includes: determining that one or more edge partial discharge detection devices among the m edge partial discharge detection devices have an association relationship based on the capability information; and adding the one or more edge partial discharge detection devices with the association relationship to an edge partial discharge detection device group.

[0041] According to embodiments of this disclosure, determining that one or more edge partial discharge detection devices among the m edge partial discharge detection devices are associated based on the capability information includes determining that one or more edge partial discharge detection devices among the m edge partial discharge detection devices meet a location threshold requirement based on location information, and determining that one or more edge partial discharge detection devices meeting the location threshold requirement are associated based on the capability information. By associating edge partial discharge detection devices through location information and capability information, their capabilities can complement each other, and for the same detected object, the complementarity of edge partial discharge detection is improved.

[0042] According to embodiments of this disclosure, the capability information of the edge partial discharge detection device group is a set of capability information for all edge partial discharge detection devices in the group. The capability information of the edge partial discharge detection device group includes one or more of the following: partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data. The partial discharge detection type of the edge partial discharge detection device group is the sum of the partial discharge detection types of all edge partial discharge detection devices in the group; the number of partial discharge detection sensors in the edge partial discharge detection device group is the sum of the number of partial discharge detection sensors of all edge partial discharge detection devices in the group; and the amount of partial discharge detection data of the edge partial discharge detection device group is the sum of the amount of partial discharge detection data of all edge partial discharge detection devices in the group. By constructing a partial discharge detection device group, the problem of relatively weak capabilities of individual partial discharge detection devices can be avoided, thus improving the capability of the partial discharge detection device group and enabling it to detect multiple types of partial discharge.

[0043] According to embodiments of this disclosure, determining that one or more edge partial discharge detection devices among the m edge partial discharge detection devices are associated based on the capability information includes determining that the capability information of one or more edge partial discharge detection devices among the m edge partial discharge detection devices is not completely identical; and determining that the one or more edge partial discharge detection devices are associated.

[0044] According to embodiments of this disclosure, determining that the capability information of one or more edge partial discharge detection devices among the m edge partial discharge detection devices is not completely identical based on the capability information includes: determining that the capability information of one or more edge partial discharge detection devices among the m edge partial discharge detection devices is completely different, or determining that the capability information of one or more edge partial discharge detection devices among the m edge partial discharge detection devices is partially the same.

[0045] According to embodiments of this disclosure, the edge partial discharge detection device group includes edge partial discharge detection device A (capabilities 1 and 2) and edge partial discharge detection device B (capability 1). The capability information of edge partial discharge detection device A and edge partial discharge detection device B is the same, and the capability information of the edge partial discharge detection device group is (capabilities 1 and 2).

[0046] According to embodiments of this disclosure, the edge partial discharge detection device group includes edge partial discharge detection device A (capabilities 1 and 2) and edge partial discharge detection device B (capability 3). The capability information of edge partial discharge detection device A and edge partial discharge detection device B are completely different, and the capability information of the edge partial discharge detection device group (capabilities 1, 2 and 3) is also different.

[0047] Figure 2 This is another schematic flowchart of the partial discharge detection method provided in the embodiments of this application. Figure 2 As shown, the method includes:

[0048] Step 202: Obtain capability information for m edge partial discharge detection devices. The capability information includes one or more of the following: partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data, where m is an integer and m>2.

[0049] Step 204: The capability information of one or more edge partial discharge detection devices that are related are not completely identical;

[0050] Step 206: Add one or more related edge partial discharge detection devices to an edge partial discharge detection device group;

[0051] Step 208: Control some or all of the n edge partial discharge detection device groups to perform partial discharge detection.

[0052] According to embodiments of this disclosure, determining that the capability information of one or more edge partial discharge detection devices among the m edge partial discharge detection devices is not completely identical based on the capability information includes: determining that the capability information of one or more edge partial discharge detection devices among the m edge partial discharge detection devices is completely different, or determining that the capability information of one or more edge partial discharge detection devices among the m edge partial discharge detection devices is partially the same.

[0053] According to embodiments of this disclosure, the partial discharge detection method is applied to a cloud-based partial discharge detection device or an edge-based partial discharge detection device. When applied to a cloud-based partial discharge detection device, the edge-based partial discharge detection device connects to the cloud-based partial discharge detection device via an end-to-cloud protocol. When applied to an edge-based partial discharge detection device, the edge-based partial discharge detection device acts as the master device in an edge-based partial discharge detection device group, and the master device connects to other devices in the edge-based partial discharge detection device group via a local interconnection protocol. The master device in the edge-based partial discharge detection device group can be elected, and the capability information of the master device is greater than that of other devices; the master device in the edge-based partial discharge detection device group can also be randomly generated.

[0054] According to embodiments of this disclosure, the step of controlling some or all of the n edge partial discharge detection device groups to perform partial discharge detection includes: some or all of the n edge partial discharge detection device groups acquiring detection data from at least one partial discharge detection sensor.

[0055] According to an embodiment of this disclosure, the edge partial discharge detection device group acquires detection data from at least one partial discharge detection sensor, including: establishing an association between the edge partial discharge detection device group and the at least one partial discharge detection sensor; each edge partial discharge detection device in the edge partial discharge detection device group receives the detection data from the at least one partial discharge detection sensor.

[0056] According to an embodiment of this disclosure, the edge partial discharge detection device group acquires detection data from at least one partial discharge detection sensor, including: some edge partial discharge detection devices in the edge partial discharge detection device group that are related receive the detection data from the at least one partial discharge detection sensor and send the detection data to other edge partial discharge detection devices that are related.

[0057] According to an embodiment of this disclosure, obtaining the feature vector of the detection data includes: obtaining a multi-dimensional feature vector group of the detection data, the multi-dimensional feature vector group including frequency domain feature components and time domain feature components, the frequency domain feature components including one or more of voltage phase, maximum discharge amplitude, average discharge amplitude, and number of discharges, and the time domain feature components including one or more of pulse amplitude, pulse rise time, pulse fall time, pulse width, and pulse area.

[0058] According to embodiments of this disclosure, acquiring the feature parameters of the detection data includes: acquiring a frequency domain feature vector group of the detection data, wherein the frequency domain feature vector group includes voltage phase, discharge amplitude, and discharge count, and the voltage phase includes voltage phases along the positive and negative half-axis. The voltage phase can be selected from 0, 90, 180, 270, and 360 degrees, or 90 and 270 degrees. More voltage phase selections result in a larger number of feature parameters, which is beneficial for improving the accuracy of the partial discharge detection model; fewer voltage phase selections result in a smaller number of feature parameters, which is beneficial for accelerating the convergence speed of the partial discharge detection model.

[0059] According to embodiments of this disclosure, the edge partial discharge detection device group performs partial discharge detection by extracting feature vectors from the detection data of the partial discharge detection sensor, sending the feature vectors to a neural network model for model training, and ensuring that the output of the neural network model meets a threshold requirement. The neural network model can employ a backpropagation neural network, which has a faster learning speed and better recognition capability.

[0060] Figure 3 This is a schematic diagram of the resource structure of a partial discharge detection device group provided in an embodiment of this application. The resource structure includes resources and attributes. Resources are represented by right-angled rectangles, and attributes are represented by rounded rectangles. Resources may include sub-resources, such as the edge partial discharge detection device group resource including edge partial discharge detection device sub-resources.

[0061] Resources and sub-resources may include attributes, such as the edge partial discharge detection equipment including its identifier, partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data. An edge partial discharge detection equipment group includes its identifier, partial discharge detection type, number of partial discharge detection sensors, amount of partial discharge detection data, and a list of equipment identifiers for the edge partial discharge detection equipment group, which includes the identifiers of the partial discharge detection equipment.

[0062] The partial discharge detection equipment group includes at least two edge partial discharge detection devices, and the capability information set of the at least two edge partial discharge detection devices constitutes the capability information of the edge partial discharge detection equipment group.

[0063] Figure 4 This is a schematic diagram of the partial discharge detection device assembly provided in an embodiment of this application. Figure 4As shown, edge partial discharge detection device A has partial discharge detection capabilities including corona discharge detection, surface discharge detection, and internal discharge detection; edge partial discharge detection device B has partial discharge detection capabilities including floating discharge detection and void discharge detection.

[0064] Edge partial discharge detection device A is connected to a partial discharge detection sensor, and edge partial discharge detection device B is also connected to a partial discharge detection sensor. The partial discharge detection sensor is one or more of the following: ultra-high frequency sensor, ultrasonic sensor, transient ground voltage sensor, high frequency current transformer, optical sensor, and chemical sensor.

[0065] The capability information of edge partial discharge detection device A and edge partial discharge detection device B is not completely the same. Establish the association between edge partial discharge detection device A and edge partial discharge detection device B. Edge partial discharge detection device A and edge partial discharge detection device B constitute a partial discharge detection device group. This partial discharge detection device group has partial discharge detection capabilities such as corona discharge detection, surface discharge detection, internal discharge detection, floating discharge detection, and void discharge detection.

[0066] Edge partial discharge detection device A and edge partial discharge detection device B constitute an edge partial discharge detection device group. The number of partial discharge detection sensors and the amount of partial discharge detection data in the edge partial discharge detection device group are the sum of the number of partial discharge detection sensors in edge partial discharge detection device A and edge partial discharge detection device B, and the sum of the amount of partial discharge detection data.

[0067] Figure 5A This is a schematic diagram illustrating a process for acquiring partial discharge detection data using a partial discharge detection device group provided in an embodiment of this application. Figure 5A As shown, edge partial discharge detection device A has partial discharge detection capabilities including corona discharge detection, surface discharge detection, and internal discharge detection; edge partial discharge detection device B has partial discharge detection capabilities including floating discharge detection and void discharge detection.

[0068] Edge partial discharge detection device A is connected to a partial discharge detection sensor, and edge partial discharge detection device B is also connected to a partial discharge detection sensor. The partial discharge detection sensor is one or more of the following: ultra-high frequency sensor, ultrasonic sensor, transient ground voltage sensor, high frequency current transformer, optical sensor, and chemical sensor.

[0069] The capability information of edge partial discharge detection device A and edge partial discharge detection device B is not completely the same. Establish the association between edge partial discharge detection device A and edge partial discharge detection device B. Edge partial discharge detection device A and edge partial discharge detection device B constitute a partial discharge detection device group. This partial discharge detection device group has partial discharge detection capabilities such as corona discharge detection, surface discharge detection, internal discharge detection, floating discharge detection, and void discharge detection.

[0070] Establish an association between the edge partial discharge detection device group and the at least one partial discharge detection sensor; each edge partial discharge detection device in the edge partial discharge detection device group receives detection data from the at least one partial discharge detection sensor.

[0071] Figure 5B This is another schematic diagram illustrating the process of acquiring partial discharge detection data using the partial discharge detection device group provided in the embodiments of this application. Figure 5B As shown, edge partial discharge detection device A has partial discharge detection capabilities including corona discharge detection, surface discharge detection, and internal discharge detection; edge partial discharge detection device B has partial discharge detection capabilities including floating discharge detection and void discharge detection.

[0072] Edge partial discharge detection device A is connected to a partial discharge detection sensor, and edge partial discharge detection device B is also connected to a partial discharge detection sensor. Edge partial discharge detection device A and edge partial discharge detection device B constitute a partial discharge detection device group, which has the capability to detect corona discharge, surface discharge, internal discharge, floating discharge, and void discharge.

[0073] The associated edge partial discharge detection devices in the edge partial discharge detection device group receive detection data from at least one partial discharge detection sensor and send the detection data to other associated edge partial discharge detection devices. The partial discharge detection sensor is one or more of the following: an ultra-high frequency sensor, an ultrasonic sensor, a transient ground voltage sensor, a high-frequency current transformer, an optical sensor, and a chemical sensor.

[0074] Figure 6 This is a schematic diagram of the partial discharge detection device provided in the embodiments of this application, as shown below. Figure 6 As shown, the partial discharge detection device 600 includes:

[0075] The acquisition module 610 is used to acquire capability information of m edge partial discharge detection devices. The capability information includes one or more of the following: partial discharge detection type, number of partial discharge detection sensors, and amount of partial discharge detection data, where m is an integer and m>2.

[0076] A group creation module 620 is used to create n edge partial discharge detection device groups based on the capability information. Each edge partial discharge detection device group includes at least one edge partial discharge detection device, where n is an integer and n≤m.

[0077] The determination module 630 is used to determine the capability information of the at least one edge partial discharge detection device that constitutes the edge partial discharge detection device group.

[0078] The control module 640 is used to control some or all of the n edge partial discharge detection device groups to perform partial discharge detection.

[0079] The apparatus system provided in this disclosure can achieve the same working process and technical effect as the partial discharge detection method embodiment, which will not be repeated here. Please refer to the previous description.

[0080] At least one embodiment of this disclosure also provides an electronic device 700, see reference. Figure 7 The electronic device 700 includes one or more processors 710 and a storage device 720; the storage device 720 is used to store one or more programs, which, when executed by one or more processors, enable the one or more processors to implement any of the partial discharge detection methods provided in the embodiments of this disclosure.

[0081] At least one embodiment of this application also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform any of the partial discharge detection methods provided in the embodiments of this disclosure.

[0082] The storage medium for the computer-executable instructions provided in at least one embodiment of this disclosure may be a non-transitory computer-readable storage medium. Exemplarily, Figure 8 This is a schematic diagram of a non-transitory computer-readable storage medium provided for at least one embodiment of the present disclosure.

[0083] For example, such as Figure 8 As shown, computer-readable instructions 801 are non-transitory stored on the computer-readable storage medium 800. For example, when the computer-readable instructions 801 are executed by a processor, one or more steps in the partial discharge detection method described above can be performed.

[0084] For example, the storage medium 800 can be used in the electronic device 700 described above. For example, the storage medium 800 may include the memory 720 in the electronic device 700.

[0085] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features disclosed in this disclosure that have similar functions.

[0086] The following points need to be explained:

[0087] (1) The accompanying drawings of the embodiments of this disclosure only involve the structures involved in the embodiments of this disclosure. Other structures can be referred to the general design.

[0088] (2) Where there is no conflict, the embodiments of this disclosure and the features in the embodiments can be combined with each other to obtain new embodiments.

[0089] The above description is merely an exemplary embodiment of the present invention and is not intended to limit the scope of protection of the present invention, which is determined by the appended claims.

Claims

1. A method for detecting partial discharge, characterized in that, comprising: acquiring capability information of m edge partial discharge detection devices, wherein the capability information includes a partial discharge detection type, the number of partial discharge detection sensors, and the amount of partial discharge detection data, m being an integer and m>2; establishing n edge partial discharge detection device groups according to the capability information, wherein each edge partial discharge detection device group comprises at least two edge partial discharge detection devices, n being an integer and n<m, and the establishing n edge partial discharge detection device groups according to the capability information comprises: determining that a plurality of edge partial discharge detection devices among the m edge partial discharge detection devices have an association relationship according to the capability information; adding the plurality of edge partial discharge detection devices with the association relationship into one edge partial discharge detection device group; and the determining that a plurality of edge partial discharge detection devices among the m edge partial discharge detection devices have an association relationship according to the capability information comprises: determining that the capability information of the plurality of edge partial discharge detection devices among the m edge partial discharge detection devices is not completely the same according to the capability information; and determining that the plurality of edge partial discharge detection devices have the association relationship; determining that a set of the capability information of the at least two edge partial discharge detection devices constitutes the capability information of the edge partial discharge detection device group; controlling part or all of the n edge partial discharge detection device groups to perform partial discharge detection according to the capability information of the edge partial discharge detection device groups.

2. The method according to claim 1, characterized in that, Before the controlling part or all of the n edge partial discharge detection device groups to perform partial discharge detection, the method comprises: part or all of the edge partial discharge detection device groups among the n edge partial discharge detection device groups acquire detection data of at least one partial discharge detection sensor, and acquire a characteristic parameter of the detection data, wherein the characteristic parameter is used for partial discharge detection.

3. The method according to claim 2, characterized in that, The acquiring, by the edge partial discharge detection device group, detection data of at least one partial discharge detection sensor comprises: establishing an association between the edge partial discharge detection device group and the at least one partial discharge detection sensor; each edge partial discharge detection device in the edge partial discharge detection device group receives the detection data of the at least one partial discharge detection sensor.

4. The method according to claim 2, characterized in that, The acquiring, by the edge partial discharge detection device group, detection data of at least one partial discharge detection sensor comprises: part of the edge partial discharge detection devices with the association relationship in the edge partial discharge detection device group receive the detection data of the at least one partial discharge detection sensor, and send the detection data to other edge partial discharge detection devices with the association relationship.

5. The method according to claim 3 or 4, characterized in that, The acquiring the characteristic parameter of the detection data comprises: acquiring a multi-dimensional feature vector group of the detection data, wherein the multi-dimensional feature vector group comprises a frequency domain feature component and / or a time domain feature component, the frequency domain feature component comprises one or more of a voltage phase, a maximum discharge amplitude, an average discharge amplitude, and the number of discharges, and the time domain feature component comprises one or more of a pulse amplitude, a pulse rise time, a pulse fall time, a pulse width, and a pulse area.

6. A device for detecting partial discharge, characterized in that, comprising: an acquisition module, configured to acquire capability information of m edge partial discharge detection devices, where the capability information includes a partial discharge detection type, the number of partial discharge detection sensors, and a partial discharge detection data volume, wherein m is an integer, and m>2; a group establishment module, configured to establish n edge partial discharge detection device groups according to the capability information, wherein each edge partial discharge detection device group comprises at least one edge partial discharge detection device, n is an integer, and n<m, wherein the establishing n edge partial discharge detection device groups according to the capability information comprises: determining, according to the capability information, that a plurality of edge partial discharge detection devices among the m edge partial discharge detection devices have an association relationship; and adding the plurality of edge partial discharge detection devices with the association relationship into one edge partial discharge detection device group; wherein the determining, according to the capability information, that a plurality of edge partial discharge detection devices among the m edge partial discharge detection devices have an association relationship comprises: determining, according to the capability information, that capability information of the plurality of edge partial discharge detection devices among the m edge partial discharge detection devices is not completely the same; and determining that the plurality of edge partial discharge detection devices have the association relationship; a determination module, configured to determine that a capability information set of the at least one edge partial discharge detection device constitutes capability information of the edge partial discharge detection device group; a group control module, configured to control part or all of the n edge partial discharge detection device groups to perform partial discharge detection according to the capability information of the edge partial discharge detection device groups.

7. An electronic device, characterized in that, comprising: one or more processors; a storage apparatus, configured to store one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the partial discharge detection method according to any one of claims 1 to 5.

8. A storage medium containing computer-executable instructions, characterized in that, the computer-executable instructions, when executed by a computer processor, are configured to perform the partial discharge detection method according to any one of claims 1 to 5.

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