Partial discharge detection method and device based on edge AI

Abstract

The invention provides a partial discharge detection method and device based on edge AI, and belongs to the field of partial discharge detection, and the method comprises the steps: obtaining the capability information of m pieces of edge partial discharge detection equipment; establishing n edge partial discharge detection equipment groups according to the capability information, wherein each edge partial discharge detection equipment group comprises at least two edge partial discharge detection equipment; determining the capability information set of the at least one partial discharge detection device to form the capability information of the edge partial discharge detection device group; and controlling partial or all of the n edge partial discharge detection equipment groups to carry out partial discharge detection. According to the method, the edge partial discharge devices are grouped according to the capability information of the edge partial discharge detection devices, and part or all of the edge partial discharge detection device groups are controlled to carry out partial discharge detection, so that the performance requirements of the edge partial discharge detection devices are reduced, and the intelligence of edge partial discharge detection is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of partial discharge monitoring, in particular to an edge partial discharge detection method and device based on edge AI. BACKGROUND

[0002] With the development of AI technology, applying AI technology to carry out partial discharge detection is the future development trend. The application of AI technology is divided into cloud deployment AI and edge side deployment AI.

[0003] In order to ensure the real-time of data processing and the demand of privacy protection, edge side deployment AI is gradually recognized by the industry, but due to the limited processing capacity of edge side devices, only specific partial discharge intelligent analysis can be carried out.

[0004] How to use edge partial discharge detection equipment to carry out partial discharge detection becomes a problem to be solved. SUMMARY

[0005] Therefore, the present application provides a partial discharge detection method and device based on edge AI, an electronic device and a storage medium.

[0006] In order to achieve the above purpose, the present application provides a partial discharge detection method based on edge AI, comprising:

[0007] Obtain the capability information of m edge partial discharge detection devices, wherein the capability information includes one or more of partial discharge detection type, partial discharge detection sensor quantity and partial discharge detection data volume, wherein m is an integer and m>2;

[0008] According to the capability information, establish n edge partial discharge detection device groups, each edge partial discharge detection device group includes at least two edge partial discharge detection devices, wherein n is an integer and n≤m;

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

[0010] According to the edge partial discharge detection device group capability information, control part or all of the n edge partial discharge detection device groups to carry out partial discharge detection.

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

[0012] The acquisition module is configured to obtain the capability information of m edge partial discharge detection devices, wherein the capability information includes one or more of partial discharge detection type, partial discharge detection sensor quantity and partial discharge detection data volume, wherein m is an integer and m>2;

[0013] a group establishing module configured to establish n groups of edge partial discharge detection devices according to the capability information, each group of edge partial discharge detection devices comprising at least two edge partial discharge detection devices, wherein n is an integer, n≤m;

[0014] a determining module configured to determine that the set of capability information of the at least one edge partial discharge detection device constitutes the group capability information of the group of edge partial discharge detection devices;

[0015] a group controlling module configured to control part or all of the n groups of edge partial discharge detection devices to perform partial discharge detection according to the group capability information of the group of edge partial discharge detection devices.

[0016] Based on the same concept, the present application further provides an electronic device, comprising: one or more processors; a storage device 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 implement the edge AI-based partial discharge detection method according to any one of the above.

[0017] Based on the same concept, the present application further provides a storage medium containing computer executable instructions, when the computer executable instructions are executed by a computer processor, the computer executable instructions are used to execute the edge AI-based partial discharge detection method according to any one of the above. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings of the embodiments will be briefly introduced below, and obviously, the drawings in the following description only relate to some embodiments of the present application, but not limit the present application.

[0019] Figure 1 is a flowchart of the partial discharge detection method provided by the embodiments of the present application;

[0020] Figure 2 is another flowchart of the partial discharge detection method provided by the embodiments of the present application;

[0021] Figure 3 is a resource structure diagram of the group of partial discharge detection devices provided by the embodiments of the present application;

[0022] Figure 4 is a structure diagram of the group of partial discharge detection devices provided by the embodiments of the present application;

[0023] Figure 5A is a flowchart of the group of partial discharge detection devices provided by the embodiments of the present application to obtain partial discharge detection data;

[0024] Figure 5B is another flow diagram of acquiring partial discharge detection data by the partial discharge detection device group provided by the embodiments of the present application;

[0025] Figure 6 is a structural diagram of the partial discharge detection device provided by the embodiments of the present application;

[0026] Figure 7 is a structural diagram of the electronic device provided by the embodiments of the present application;

[0027] Figure 8 is a structural diagram of the storage medium provided by the embodiments of the present application. DETAILED DESCRIPTION

[0028] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, but not all the embodiments of the present application. Based on the described embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0029] Unless otherwise defined, the technical terms or scientific terms used herein should be understood as the common meanings thereof by those of ordinary skill in the art to which the present application belongs. The terms "first", "second" and similar terms used in the description and claims of the present patent application do not necessarily mean any order, number or importance, but are only used to distinguish different components. The terms "comprise", "include" and similar terms mean that the technical features before the terms encompass the technical features listed after the terms and their equivalents, and do not exclude other technical features.

[0030] At least one embodiment of the present application provides a partial discharge detection method, which comprises: acquiring capability information of m edge partial discharge detection devices, the capability information comprising one or more of partial discharge detection types, partial discharge detection sensor quantities, and partial discharge detection data quantities, wherein m is an integer and m>2; establishing n edge partial discharge detection device groups according to the capability information, each edge partial discharge detection device group comprising at least one edge partial discharge detection device, wherein n is an integer and n≤m; determining that a capability information set of the at least one edge partial discharge detection device constitutes 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 according to the edge partial discharge detection device group capability information. This method groups edge partial discharge detection devices according to their capability information and controls part or all of the edge partial discharge detection device groups to perform partial discharge detection, thereby reducing the performance requirements of edge partial discharge detection devices and improving the intelligence of edge partial discharge detection.

[0031] At least one embodiment of the present application also provides an edge partial discharge detection device, which comprises: an acquisition module configured to acquire capability information of m edge partial discharge detection devices, the capability information comprising one or more of partial discharge detection types, partial discharge detection sensor quantities, and partial discharge detection data quantities, 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, each edge partial discharge detection device group comprising at least one edge partial discharge detection device, wherein n is an integer and n≤m; a determination module configured to determine that a capability information set of the at least one edge partial discharge detection device constitutes edge partial discharge detection device group capability information; and a control group module configured to control part or all of the n edge partial discharge detection device groups to perform partial discharge detection according to the edge partial discharge detection device group capability information. This method groups edge partial discharge detection devices according to their capability information and controls part or all of the edge partial discharge detection device groups to perform partial discharge detection, thereby reducing the performance requirements of edge partial discharge detection devices and improving the intelligence of edge partial discharge detection.

[0032] At least one embodiment of the present application also provides an electronic device, which comprises: one or more processors and a storage device; the storage device is 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 implement any one of the partial discharge detection methods provided by the embodiments of the present application.

[0033] The embodiment of the present disclosure also provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute any one of the partial discharge detection methods provided by the embodiments of the present disclosure.

[0034] Figure 1 is a flowchart of the partial discharge detection method provided by the embodiments of the present disclosure. As shown in the figure, the method comprises the following steps. Figure 1

[0035] Step 102: Obtain the capability information of m edge partial discharge detection devices, the capability information comprising one or more of partial discharge detection types, partial discharge detection sensor quantity, and partial discharge detection data quantity, wherein m is an integer, m>2;

[0036] Step 104: Establish n edge partial discharge detection device groups according to the capability information, each edge partial discharge detection device group comprising at least one edge partial discharge detection device, wherein n is an integer, n≤m;

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

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

[0039] According to the embodiments of the present disclosure, the partial discharge detection types comprise one or more of corona discharge detection, surface discharge detection, internal discharge detection, suspension discharge detection, and cavity discharge detection; the partial discharge detection sensor quantity is the number of partial discharge detection sensors connectable by the edge partial discharge detection device; and the partial discharge detection data quantity is the partial discharge detection data quantity processable by the edge partial discharge detection device per unit time.

[0040] According to the embodiments of the present disclosure, the step of establishing n edge partial discharge detection device groups according to the capability information comprises: determining that one or more edge partial discharge detection devices in the m edge partial discharge detection devices have an association relationship according to the capability information; and adding the one or more edge partial discharge detection devices having the association relationship to one edge partial discharge detection device group.

[0041] ​According to an embodiment of the present disclosure, the determining, according to the capability information, that one or more of the m edge partial discharge detection devices has an association relationship comprises: determining, according to the position information, that one or more of the m edge partial discharge detection devices meets a position threshold requirement, and determining, according to the capability information, that the one or more edge partial discharge detection devices that meet the position threshold requirement has an association relationship. The edge partial discharge detection devices can be associated through the position information and the capability information, the capabilities of the edge partial discharge detection devices can be complemented to each other, and the complementarity of the edge partial discharge detection is improved for the same detected object.

[0042] According to an embodiment of the present disclosure, the capability information of the group of edge partial discharge detection devices is a set of capability information of all edge partial discharge detection devices in the group of edge partial discharge detection devices. The capability information of the group of edge partial discharge detection devices comprises one or more of a partial discharge detection type, a partial discharge detection sensor quantity, and a partial discharge detection data quantity. The partial discharge detection type of the group of edge partial discharge detection devices is a collection of the partial discharge detection types of all edge partial discharge detection devices in the group; the partial discharge detection sensor quantity of the group of edge partial discharge detection devices is a sum of the partial discharge detection sensor quantities of all edge partial discharge detection devices in the group; and the partial discharge detection data quantity of the group of edge partial discharge detection devices is a sum of the partial discharge detection data quantities of all edge partial discharge detection devices in the group. By constructing the group of partial discharge detection devices, the problem of relatively weak capability of a single partial discharge detection device can be avoided, the capability of the group of partial discharge detection devices is improved, and the group of partial discharge detection devices can detect multiple partial discharge types.

[0043] According to an embodiment of the present disclosure, the determining, according to the capability information, that one or more of the m edge partial discharge detection devices has an association relationship comprises: determining, according to the capability information, that the capability information of one or more of the m edge partial discharge detection devices is not completely same; and determining that the one or more edge partial discharge detection devices has an association relationship.

[0044] According to an embodiment of the present disclosure, the determining, according to the capability information, that the capability information of one or more of the m edge partial discharge detection devices is not completely same comprises: determining, according to the capability information, that the capability information of one or more of the m edge partial discharge detection devices is completely different, or determining, according to the capability information, that the capability information of one or more of the m edge partial discharge detection devices is partially same.

[0045] According to an embodiment of the present disclosure, the edge partial discharge detection device group includes an edge partial discharge detection device A (capability 1 and capability 2) and an edge partial discharge detection device B (capability 1), the capability information of the edge partial discharge detection device A and the edge partial discharge detection device B is partially same, and the edge partial discharge detection device group capability information (capability 1 and capability 2).

[0046] According to an embodiment of the present disclosure, the edge partial discharge detection device group includes an edge partial discharge detection device A (capability 1 and capability 2) and an edge partial discharge detection device B (capability 3), the capability information of the edge partial discharge detection device A and the edge partial discharge detection device B is completely different, and the edge partial discharge detection device group capability information (capability 1, capability 2 and capability 3).

[0047] Figure 2 FIG. 6 is another flowchart of a partial discharge detection method according to an embodiment of the present disclosure. As shown in FIG. 6, the method includes the following steps. Figure 2

[0048] Step 202: Obtain capability information of m edge partial discharge detection devices, the capability information including one or more of a partial discharge detection type, a partial discharge detection sensor quantity, and a partial discharge detection data quantity, where m is an integer and m>2;

[0049] Step 204: The capability information of the one or more edge partial discharge detection devices having the association relationship is not completely same.

[0050] Step 206: Add the one or more edge partial discharge detection devices having the association relationship to an edge partial discharge detection device group.

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

[0052] According to an embodiment of the present disclosure, the determining, according to the capability information, that the capability information of one or more edge partial discharge detection devices of the m edge partial discharge detection devices is not completely same includes: determining, according to the capability information, that the capability information of one or more edge partial discharge detection devices of the m edge partial discharge detection devices is completely different, or determining, according to the capability information, that the capability information of one or more edge partial discharge detection devices of the m edge partial discharge detection devices is partially same.

[0053] ​According to an embodiment of the present disclosure, the partial discharge detection method is applied to a cloud partial discharge detection device or an edge partial discharge detection device. When applied to the cloud partial discharge detection device, the edge partial discharge detection device is connected to the cloud partial discharge detection device through an end-cloud protocol; when applied to the edge partial discharge detection device, the edge partial discharge detection device serves as a master device in an edge partial discharge detection device group, and the master device is connected to other devices in the edge partial discharge detection device group through a local interconnection protocol. The master device in the edge partial discharge detection device group can be generated through election, and the capability information of the master device is greater than that of other devices; or the master device in the edge partial discharge detection device group can be randomly generated.

[0054] According to an embodiment of the present disclosure, the control of the partial or all of the n edge partial discharge detection device groups to perform partial discharge detection comprises: the partial or all of the edge partial discharge detection device groups acquire detection data of at least one partial discharge detection sensor.

[0055] According to an embodiment of the present disclosure, the edge partial discharge detection device group acquires detection data of at least one partial discharge detection sensor, comprising: establishing an association between the edge partial discharge detection device group and the at least one partial discharge detection sensor; and 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.

[0056] According to an embodiment of the present disclosure, the edge partial discharge detection device group acquires detection data of at least one partial discharge detection sensor, comprising: the partial edge partial discharge detection devices having an 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 having an association relationship.

[0057] According to an embodiment of the present disclosure, the feature vector of the detection data comprises: a multi-dimensional feature vector group of the detection data, the multi-dimensional feature vector group comprising a frequency domain feature component and a time domain feature component, the frequency domain feature component comprising one or more of a voltage phase, a maximum discharge amplitude, an average discharge amplitude, and a discharge frequency, and the time domain feature component comprising one or more of a pulse amplitude, a pulse rise time, a pulse fall time, a pulse width, and a pulse area.

[0058] According to an embodiment of the present disclosure, the feature parameters of the detection data are obtained, including obtaining a frequency domain feature vector group of the detection data, the frequency domain feature vector group including voltage phase, discharge amplitude and discharge times, and the voltage phase including voltage phases of positive half-axes and negative half-axes. The voltage phase can be selected as 0, 90, 180, 270 or 360, or the voltage phase can be selected as 90 or 270. More feature parameters are obtained when more voltage phases are selected, which is beneficial to improve the accuracy of the partial discharge detection model, and less feature parameters are obtained when less voltage phases are selected, which is beneficial to accelerate the convergence speed of the partial discharge detection model.

[0059] According to an embodiment of the present disclosure, the edge partial discharge detection device group performs partial discharge detection, including extracting feature vectors from detection data of the partial discharge detection sensor, and sending the feature vectors to a neural network model for model training, so that the output result of the neural network model meets the threshold requirement. The neural network model can adopt a back propagation neural network, and the back propagation neural network has faster learning speed and recognition ability.

[0060] Figure 3 is a resource structure schematic diagram of the partial discharge detection device group provided by an embodiment of the present disclosure. The resource structure includes resources and attributes, the resources are represented by rectangular rectangles, and the attributes are represented by rounded rectangles. The resources can include sub-resources, for example, the edge partial discharge detection device group resource includes the edge partial discharge detection device sub-resource.

[0061] The resources and sub-resources can include attributes, for example, the edge partial discharge detection device includes attributes such as edge partial discharge detection device identification, partial discharge detection type, partial discharge detection sensor quantity and partial discharge detection data quantity. The edge partial discharge detection device group includes attributes such as edge partial discharge detection device group identification, edge partial discharge detection device group partial discharge detection type, edge partial discharge detection device group partial discharge detection sensor quantity, edge partial discharge detection device group partial discharge detection data quantity, edge partial discharge detection device group partial discharge detection device identification list, and the edge partial discharge detection device group partial discharge detection device identification list includes the identification of the partial discharge detection device.

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

[0063] Figure 4 is a structure schematic diagram of the partial discharge detection device group provided by an embodiment of the present disclosure. As shown in Figure 4As shown, the edge partial discharge detection device A has partial discharge detection capabilities of corona discharge detection, surface discharge detection, and internal discharge detection; and the edge partial discharge detection device B has partial discharge detection capabilities of floating discharge detection and cavity discharge detection.

[0064] The edge partial discharge detection device A is connected with the partial discharge detection sensor, and the edge partial discharge detection device B is connected with the partial discharge detection sensor. The partial discharge detection sensor is one or more of an ultrahigh frequency sensor, an ultrasonic sensor, a transient ground voltage sensor, a high-frequency current transformer, an optical sensor, and a chemical sensor.

[0065] The capability information of the edge partial discharge detection device A and the edge partial discharge detection device B is not completely the same, an association between the edge partial discharge detection device A and the edge partial discharge detection device B is established, and the edge partial discharge detection device A and the edge partial discharge detection device B constitute a partial discharge detection device group, which has partial discharge detection capabilities of corona discharge detection, surface discharge detection, internal discharge detection, floating discharge detection, and cavity discharge detection.

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

[0067] Figure 5A is a flowchart of a process of acquiring partial discharge detection data by a partial discharge detection device group provided by an embodiment of the present application. As shown in Figure 5A As shown, the edge partial discharge detection device A has partial discharge detection capabilities of corona discharge detection, surface discharge detection, and internal discharge detection; and the edge partial discharge detection device B has partial discharge detection capabilities of floating discharge detection and cavity discharge detection.

[0068] The edge partial discharge detection device A is connected with the partial discharge detection sensor, and the edge partial discharge detection device B is connected with the partial discharge detection sensor. The partial discharge detection sensor is one or more of an ultrahigh frequency sensor, an ultrasonic sensor, a transient ground voltage sensor, a high-frequency current transformer, an optical sensor, and a chemical sensor.

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

[0070] The association between the edge partial discharge detection device group and the at least one partial discharge detection sensor is established, and each edge partial discharge detection device in the edge partial discharge detection device group receives detection data of the at least one partial discharge detection sensor.

[0071] Figure 5B Another flow diagram for a partial discharge detection device group to obtain partial discharge detection data is provided in an embodiment of the present application. As shown in Figure 5B The edge partial discharge detection device A has partial discharge detection capabilities of corona discharge detection, surface discharge detection and internal discharge detection, and the edge partial discharge detection device B has partial discharge detection capabilities of floating discharge detection and cavity discharge detection.

[0072] The edge partial discharge detection device A is connected with the partial discharge detection sensor, and the edge partial discharge detection device B is connected with the partial discharge detection sensor. The edge partial discharge detection device A and the edge partial discharge detection device B constitute a partial discharge detection device group, and the partial discharge detection device group has partial discharge detection capabilities of corona discharge detection, surface discharge detection, internal discharge detection, floating discharge detection and cavity discharge detection.

[0073] The partial discharge detection sensor is one or more of an ultrahigh 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 A structure diagram of a partial discharge detection device is provided in an embodiment of the present application, as shown in Figure 6 The partial discharge detection device 600 includes:

[0075] The acquisition module 610 is configured to acquire capability information of m edge partial discharge detection devices, the capability information including one or more of a partial discharge detection type, a partial discharge detection sensor quantity and a partial discharge detection data quantity, where m is an integer and m>2.

[0076] The group establishing module 620 is configured to establish n groups of edge partial discharge detection devices according to the capability information, each group of edge partial discharge detection devices including at least one edge partial discharge detection device, where n is an integer and n≤m;

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

[0078] The group control module 640 is configured to control part or all of the n groups of edge partial discharge detection devices to perform partial discharge detection.

[0079] The apparatus system provided by the embodiments of the present disclosure can achieve the same working process and technical effects as the partial discharge detection method embodiments, which are not repeated here, please refer to the previous description.

[0080] At least one embodiment of the present disclosure further provides an electronic device 700, which refers to Figure 7 The electronic device 700 includes one or more processors 710 and a storage device 720; the storage device 720 is 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 implement any one of the partial discharge detection method provided by the embodiments of the present disclosure.

[0081] At least one embodiment of the present disclosure further provides a storage medium containing computer executable instructions, which, when executed by a computer processor, are used to execute any one of the partial discharge detection methods provided by the embodiments of the present disclosure.

[0082] The storage medium of computer executable instructions provided by at least one embodiment of the present disclosure can be a non-transitory computer readable storage medium. Illustratively, Figure 8 A schematic diagram of a non-transitory computer readable storage medium provided by at least one embodiment of the present disclosure.

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

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

[0085] The above description is merely the preferred embodiments of the present disclosure and the explanation of the principles of the applied technology. It should be understood by those skilled in the art that the disclosed range of the present disclosure is not limited to the technical solutions formed by the specific combinations of the above technical features, and should also cover other technical solutions formed by the combinations of the above technical features or equivalent features without departing from the above disclosed concept. For example, the technical solutions formed by the mutual replacement of the above features and the technical features disclosed in the present disclosure (but not limited to) with similar functions.

[0086] The following points need to be explained:

[0087] (1) The drawings of the embodiments of the present disclosure only involve the structures involved in the embodiments of the present disclosure, and other structures can be referred to the general design.

[0088] (2) In the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other to obtain new embodiments.

[0089] The above description is merely the preferred embodiments of the present disclosure and the explanation of the principles of the applied technology. It should be understood by those skilled in the art that the disclosed range of the present disclosure is not limited to the technical solutions formed by the specific combinations of the above technical features, and should also cover other technical solutions formed by the combinations of the above technical features or equivalent features without departing from the above disclosed concept. For example, the technical solutions formed by the mutual replacement of the above features and the technical features disclosed in the present disclosure (but not limited to) with similar functions.

Claims

1. A method for detecting partial discharge, characterized in that: include: Acquire capability information of m edge partial discharge detection devices, wherein the capability information includes 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; According to 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, wherein n is an integer, n <m; Determining that the capability information set of the at least two edge partial discharge detection devices constitutes the edge partial discharge detection device group capability information; Part or all of the n edge partial discharge detection device groups are controlled to perform partial discharge detection according to the edge partial discharge detection device group capability information.

2. The method according to claim 1, characterized in that The step of establishing n edge partial discharge detection device groups according to the capability information includes: determining, based on the capability information, that a plurality of edge partial discharge detection devices among the m edge partial discharge detection devices have an associated relationship; Add multiple edge partial discharge detection devices with associated relationships to an edge partial discharge detection device group.

3. The method according to claim 2, characterized in that The determining, based on the capability information, that multiple edge partial discharge detection devices among the m edge partial discharge detection devices have an associated relationship includes: determining, based on the capability information, that capability information of multiple edge partial discharge detection devices among the m edge partial discharge detection devices is not completely the same; It is determined that the plurality of edge partial discharge detection devices have an associated relationship.

4. The method according to claim 1, wherein The controlling of some or all of the n edge partial discharge detection device groups to perform partial discharge detection comprises: Some or all of the n edge partial discharge detection device groups obtain detection data of at least one partial discharge detection sensor and obtain characteristic parameters of the detection data, which are used for partial discharge detection.

5. The method according to claim 4, characterized in that The edge partial discharge detection device group acquires detection data of 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 detection data from the at least one partial discharge detection sensor.

6. The method according to claim 4, characterized in that The edge partial discharge detection edge device group acquires detection data of at least one partial discharge detection sensor, including: Some of the associated edge partial discharge detection devices in the edge partial discharge detection device group receive detection data from the at least one partial discharge detection sensor, and send the detection data to other associated edge partial discharge detection devices.

7. The method according to claim 5 or 6, characterized in that The step of obtaining characteristic parameters of the detection data includes: Obtain a multidimensional feature vector group of the detection data, wherein the multidimensional feature vector group includes frequency domain feature components and / or time domain feature components, the frequency domain feature components include one or more of voltage phase, maximum discharge amplitude, average discharge amplitude, and number of discharges, and the time domain feature components include one or more of pulse amplitude, pulse rise time, pulse fall time, pulse width, and pulse area.

8. A device for detecting partial discharge, characterized in that: include: an acquisition module, configured to acquire capability information of m edge partial discharge detection devices, wherein the capability information includes a partial discharge detection type, a number of partial discharge detection sensors, and an amount of partial discharge detection data, where m is an integer and m>2; A group establishment module is used to establish n edge partial discharge detection device groups according to the capability information, each edge partial discharge detection device group includes at least one edge partial discharge detection device, wherein n is an integer, n <m; A determination module, configured to determine that the capability information set of at least one edge partial discharge detection device constitutes the edge partial discharge detection device group capability information; The control group module is used to control some or all of the n edge partial discharge detection equipment groups to perform partial discharge detection according to the edge partial discharge detection equipment group capability information.

9. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the partial discharge detection method according to any one of claims 1 to 7.

10. A storage medium containing computer-executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, the computer executable instructions are used to perform the partial discharge detection method according to any one of claims 1 to 7.

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