A partial discharge type identification method, device, equipment and medium

Abstract

The application discloses a partial discharge type identification method, device, equipment and medium. When detecting that there is a partial discharge signal in at least one part of a power device, a target partial discharge signal is determined; the target partial discharge signal is input into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal; based on the target discharge phase distribution spectrum image, a target edge contour image is determined, and a target center position coordinate corresponding to an edge contour in the target edge contour image is determined; based on the target edge contour image, the target center position coordinate and a pre-set mapping relationship table, a target discharge type corresponding to the target partial discharge signal is determined, thereby solving the technical problem of low accuracy and efficiency of power device partial discharge type identification, effectively reducing the identification difficulty of maintenance personnel for the partial discharge type, and improving the efficiency and accuracy of partial discharge type identification.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a partial discharge type identification method, device, equipment and medium. BACKGROUND

[0002] XLPE cables have good insulation performance, excellent thermal and mechanical properties, and high power supply reliability. In recent years, they have gradually replaced overhead lines and become the main power transmission method in cities. During the manufacturing, transportation, installation and operation of the cable, due to raw materials, production processes, mechanical impact or aging, etc., various defects may occur in the cable body, intermediate joints and terminals, which may easily cause partial discharge of the cable under test voltage or rated voltage, causing immeasurable harm to the entire power system. Therefore, it is necessary to monitor the state of the cable to quickly eliminate cable hazards and faults.

[0003] At present, the cable monitoring system can collect and analyze data in real time, convert the collected raw data into a partial discharge phase distribution spectrum (PRPD), and then maintenance personnel can identify the partial discharge type according to the PRPD spectrum. In addition to relying on maintenance personnel to identify artificially according to experience, there is also an artificial intelligence identification method based on image recognition technology to realize the automation of partial discharge identification.

[0004] However, the artificial identification of the partial discharge type has the technical problems of low efficiency and low accuracy, which increases the communication cost and time cost. The image recognition technology based on image recognition technology usually uses a simple neural network model to realize automatic identification of the partial discharge type, which can save identification time, but is limited by the amount of sample data and has the technical problem of low identification accuracy. SUMMARY

[0005] The present application provides a partial discharge type identification method, device, equipment and medium, which effectively reduces the identification difficulty of maintenance personnel for the partial discharge type and improves the efficiency and accuracy of partial discharge type identification.

[0006] In a first aspect, the present application provides a partial discharge type identification method, which comprises:

[0007] When detecting that there is a partial discharge signal at at least one position on the power equipment, determining a target partial discharge signal;

[0008] inputting the target partial discharge signal into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal;

[0009] determine a target edge profile image based on the target discharge phase distribution spectrum image, and determine a target center position coordinate corresponding to an edge profile in the target edge profile image;

[0010] determine the target discharge type corresponding to the target partial discharge signal based on the target edge profile image, the target center position coordinate, and a preset mapping relationship table, wherein the mapping relationship table pre-stores edge profile images corresponding to different partial discharge types and edge profile center position coordinates corresponding to different partial discharge types.

[0011] In a second aspect, the present application provides a partial discharge type identification device, which comprises:

[0012] a target signal determination module configured to determine a target partial discharge signal when detecting that at least one part of the power equipment has a partial discharge signal;

[0013] a target image determination module configured to input the target partial discharge signal into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal;

[0014] an image feature determination module configured to determine a target edge profile image based on the target discharge phase distribution spectrum image, and determine a target center position coordinate corresponding to an edge profile in the target edge profile image;

[0015] a discharge type determination module configured to determine the target discharge type corresponding to the target partial discharge signal based on the target edge profile image, the target center position coordinate, and a preset mapping relationship table, wherein the mapping relationship table pre-stores edge profile images corresponding to different partial discharge types and edge profile center position coordinates corresponding to different partial discharge types.

[0016] In a third aspect, the present application provides a data processing electronic device, which comprises:

[0017] at least one processor; and

[0018] a memory in communication connection with the at least one processor; wherein

[0019] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the partial discharge type identification method of any one of the embodiments of the present application.

[0020] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions for enabling a processor to execute the partial discharge type identification method of any one of the embodiments of the present application.

[0021] In a fifth aspect, the present application provides a computer program product, which comprises a computer program, and the computer program, when executed by a processor, implements the partial discharge type identification method of any of the embodiments of the present application.

[0022] The technical scheme provided by the embodiments of the present application determines the target partial discharge signal when detecting that there is a partial discharge signal at at least one position of the power equipment, then inputs the target partial discharge signal into the pre-configured image conversion program to determine the target discharge phase distribution spectrum image corresponding to the target partial discharge signal, then determines the target edge contour image based on the target discharge phase distribution spectrum image, and determines the target center position coordinates corresponding to the edge contour in the target edge contour image, and further determines the target discharge type corresponding to the target partial discharge signal based on the target edge contour image, the target center position coordinates and the pre-set mapping relationship table, thereby solving the technical problem of low accuracy and efficiency of power equipment partial discharge type identification, effectively reducing the identification difficulty of maintenance personnel for the partial discharge type, and improving the efficiency and accuracy of partial discharge type identification.

[0023] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0025] Figure 1 A flowchart of a partial discharge type identification method provided for the first embodiment of the present application;

[0026] Figure 2 A discharge phase distribution spectrum image schematic diagram provided for the first embodiment of the present application;

[0027] Figure 3 A discharge region edge contour schematic diagram provided for the first embodiment of the present application;

[0028] Figure 4 A discharge phase distribution spectrum image schematic diagram corresponding to different discharge types provided for the first embodiment of the present application;

[0029] Figure 5 A flowchart of a partial discharge type identification method provided for the second embodiment of the present application;

[0030] Figure 6 A flow chart of a partial discharge type identification method provided for the third embodiment of the present application is shown in FIG. 6;

[0031] Figure 7 A structure schematic diagram of a partial discharge type identification device provided for the fourth embodiment of the present application is shown in FIG. 7;

[0032] Figure 8 A structure schematic diagram of an electronic device provided for the fifth embodiment of the present application is shown in FIG. 8. DETAILED DESCRIPTION

[0033] In order to make the personnel in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by the personnel in the art without creative labor should belong to the scope of protection of the present application.

[0034] It should be noted that the terms "first preset condition", "second preset condition" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0035] Before introducing the technical solution, the application scenario can be exemplarily described first. In the manufacturing, transportation, installation and operation process of power transmission equipment, various defects are prone to occur in the equipment body, intermediate joints and terminals due to reasons such as raw materials, production process, mechanical impact or aging, which can easily cause partial discharge of the power equipment under test voltage or rated voltage. Once the power equipment has partial discharge, it will cause damage to the insulation layer of the power transmission line, affect its performance, and cause immeasurable harm to the entire power system. Therefore, the state of the power equipment needs to be monitored to timely understand the fault information so as to quickly eliminate hidden dangers and faults. Based on this, the present application can collect the target partial discharge signal when the power equipment has partial discharge, and convert the partial discharge signal into a target discharge phase distribution spectrum image. Then, the target edge contour image of the target discharge phase distribution spectrum image and the target center position coordinates corresponding to the edge contour are extracted, and the extracted target edge contour image and the target center position coordinates corresponding to the edge contour are compared with the pre-set mapping relationship table to determine the target discharge type corresponding to the target partial discharge signal, so that the fault can be quickly solved to restore the line to normal.

[0036] Embodiment one

[0037] Figure 1 A flowchart of a partial discharge type identification method provided for the first embodiment of the present application. The present embodiment can be applicable to the target partial discharge signal of the power transmission equipment and the pre-defined mapping relationship table to determine the discharge type corresponding to the target partial discharge signal. The method can be executed by a partial discharge type identification device, which can be realized in the form of hardware and / or software. The device can be configured on a computer device, which can be a notebook, a desktop computer and a smart tablet, etc. As shown in the figure, the method comprises: Figure 1

[0038] S110, when detecting that at least one part of the power equipment has a partial discharge signal, determining a target partial discharge signal.

[0039] The power equipment is a hardware device that can transmit electric energy, such as gas insulated switchgear, XLPE cable, generator, transformer, circuit breaker, contactor, etc. The partial discharge signal is an electric signal generated when partial discharge occurs at a certain part of the power equipment. The target partial discharge signal is a partial discharge signal to be used for subsequent partial discharge type identification.

[0040] Specifically, a discharge detector can be installed on the power equipment. When partial discharge occurs at a certain part of the power equipment, the discharge detector can be triggered to collect the partial discharge signal. The partial discharge signal within a preset time period can be collected as the target partial discharge signal. The specific value of the preset time period can be set by the user. ​

[0041] For example, a 1 km long cable can be used as a power device, and a preset number of discharge detection devices are installed on the cable, each of which is preconfigured with a discharge detection jurisdiction range. When a local discharge occurs in the discharge detection jurisdiction range of the cable corresponding to a discharge detection device, the discharge detection device can collect the local discharge signal within a preset time period as the target local discharge signal.

[0042] On the basis of the above embodiment, determining the target local discharge signal can include: when the target detection device detects that the pulse time domain signal of at least one part of the power device has a continuous mutation within a preset time period, determining the pulse time domain signal within the preset time period as the to-be-processed local discharge signal; and performing format normalization processing on the to-be-processed local discharge signal to obtain the target local discharge signal.

[0043] The pulse time domain signal is an electrical signal generated when the power device is normally powered. The target detection device is a device that can detect a local discharge signal. In actual application, the models corresponding to the plurality of target detection devices are not necessarily the same, and therefore there are certain differences in the collected data, such as differences in data storage format, number of sampling points, sampling interval, etc. At this time, the generated local discharge signal can be subjected to format normalization processing, so these signals can be referred to as to-be-processed local discharge signals.

[0044] Specifically, the target detection device can monitor the electrical signal of the power device within the preset jurisdiction range in real time. When the difference between the amplitude of the pulse time domain signal of a part of the power device and the normal state amplitude is greater than a preset value, and the time length of the difference exceeds a preset time length, the pulse time domain signal within the preset time length is determined as a to-be-processed local discharge signal. Further, the to-be-processed local discharge signal can be subjected to format normalization processing based on a pre-written normalization processing code, so as to obtain a target local discharge signal in a standard format.

[0045] S120, input the target local discharge signal into a preconfigured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target local discharge signal.

[0046] The image conversion program can be a pre-written program code or a pre-developed data processing component. The image conversion program can convert the target local discharge signal into a target discharge phase distribution spectrum image.

[0047] In this embodiment, the target detection device collects a plurality of pulse time domain signals within a period of time, and at the same time, collects and records the statistical atlas formed by the power grid power frequency phase (0-360°) at each pulse collection time to form a discharge phase distribution spectrum image. The discharge phase distribution spectrum image is shown in FIG. 1. Figure 2 For example,Figure 2 As shown, the discharge phase distribution spectrum image is a scatter plot in two-dimensional coordinate plane. The horizontal axis represents the power grid frequency phase of the pulse (0–360°), and the vertical axis represents the discharge quantity (pC). The value of each scatter point is the discharge quantity of the partial discharge site on the corresponding phase. The target discharge phase distribution spectrum image is the discharge phase distribution spectrum image corresponding to the target partial discharge signal.

[0048] Specifically, the image conversion program can be used as an independent data processing unit. In practical applications, the target partial discharge signal is taken as input and fed into the image conversion program. After the image conversion program performs logical conversion on the target partial discharge signal, it can output the target discharge phase distribution spectrum image.

[0049] Based on the above embodiments, determining the target discharge phase distribution spectrum image may specifically include: inputting the target partial discharge signal into a pre-configured image conversion program for processing to obtain the discharge phase distribution spectrum image to be processed; performing grayscale processing on the discharge phase distribution spectrum image to be processed to determine the target discharge phase distribution spectrum image.

[0050] In this embodiment, after the target partial discharge signal is input into a pre-configured image conversion program for processing, the resulting image may be a color discharge phase distribution spectrum image to be processed. At this time, the discharge phase distribution spectrum image to be processed can be further converted into a grayscale image. The pixel value of each pixel in the grayscale image is in the range of [0, 255]. The grayscale image at this time is used as the target discharge phase distribution spectrum image.

[0051] S130. Based on the target discharge phase distribution spectrum image, determine the target edge contour image, and determine the target center position coordinates corresponding to the edge contour in the target edge contour image.

[0052] The target edge contour image is a binary image corresponding to the edge contour of the discharge region in the target discharge phase distribution spectrum image. For example, see the schematic diagram of the discharge region edge contour. Figure 3 ,like Figure 3 As shown, the black lines in the image represent the edge contour of the discharge area. Therefore, the target edge contour image is a binary image. In this image, a pixel value of 1 represents a black pixel, and a pixel value of 0 represents a white pixel. Thus, pixels with a value of 1 in the target edge contour image can delineate the edge contour of the discharge area; these pixels can be called edge contour pixels. The target center coordinates are the coordinates of the center positions of each edge contour pixel in the target edge contour image.

[0053] Specifically, the target edge profile image can be determined based on an edge detection algorithm. For example, an edge detection code program can be written in advance, or an existing edge detection program can be used. The target discharge phase distribution spectrum image is input into the edge detection algorithm, and the edge detection algorithm can output a target edge profile image corresponding to the target discharge phase distribution spectrum image. Further, based on the determination of the target edge profile image, the position coordinates of the pixel points with a pixel value of 1 in the target edge profile image are obtained, and the average value of the position coordinates is obtained to obtain the target center position coordinates.

[0054] For example, an edge detection code program is written in advance, which is referred to as an edge extraction model. The target discharge phase distribution spectrum image is input into the edge extraction model to obtain a target edge profile image. Further, the position coordinates of the pixel points with a pixel value of 1 in the obtained target edge profile image are (1, 10), (2, 8), (4, 7), …, (3, 6). Then, the average value of the horizontal coordinate values of these coordinates is A, and the average value of the vertical coordinate values is B. Therefore, the target center position coordinates are (A, B).

[0055] S140, based on the target edge profile image, the target center position coordinates, and a pre-set mapping relationship table, the target discharge type corresponding to the target partial discharge signal is determined.

[0056] In the mapping relationship table, the edge profile images corresponding to different partial discharge types and the edge profile center position coordinates corresponding to different partial discharge types are pre-stored. For example, the discharge phase distribution spectrum images corresponding to different discharge types are shown in Figure 4 The different partial discharge types can include internal air gap discharge type, sharp discharge type, surface discharge type, and floating discharge type. After the discharge phase distribution spectrum images corresponding to each discharge type are determined, the edge profile images corresponding to each discharge type and the edge profile center position coordinates corresponding to each discharge type can be pre-determined.

[0057] In this embodiment, coding information can be set for each discharge type. For example, the internal air gap discharge type is coded as "1", the sharp discharge type is coded as "2", the surface discharge type is coded as "3", and the floating discharge type is coded as "4". The mapping relationship table stores the coding information of each discharge type, as well as the edge profile image matrix and the edge profile center position coordinates corresponding to each discharge type. For example, the mapping relationship table can be stored in the form of key-value pairs.

[0058] Specifically, after the target edge contour image and the target center position are determined, a target matrix corresponding to the target edge contour image can be determined, similarity values between the target matrix and edge contour image matrices corresponding to various discharge types stored in the mapping relationship table are calculated respectively, further, whether the similarity satisfies a preset threshold is compared, and if the similarity value exceeds the preset threshold, the discharge type corresponding to the preset threshold is taken as the to-be-selected discharge type. Subsequently, whether the target center position is located in a field of edge contour center position coordinates of the to-be-selected discharge type is determined, and if the target center position is located in the field of the edge contour center position coordinates of a to-be-selected discharge type, the to-be-selected discharge type is taken as the target discharge type.

[0059] The technical scheme provided by the embodiment of the present application, when detecting that there is a local discharge signal at at least one part of the power equipment, a target local discharge signal is determined, and then the target local discharge signal is input into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target local discharge signal, and then based on the target discharge phase distribution spectrum image, a target edge contour image is determined, and a target center position coordinate corresponding to an edge contour in the target edge contour image is determined, and further, based on the target edge contour image, the target center position coordinate and a pre-set mapping relationship table, a target discharge type corresponding to the target local discharge signal can be determined, thereby solving the technical problem of low accuracy and efficiency of power equipment local discharge type identification, effectively reducing the difficulty of maintenance personnel in identifying the local discharge type, and improving the efficiency and accuracy of local discharge type identification.

[0060] Embodiment two

[0061] Figure 5 A flowchart of a local discharge type identification method provided by the embodiment two of the present application, the embodiment of the present application further refines the steps S130 and S140 of the above-mentioned embodiment, and the embodiment of the present application can be combined with each optional scheme in one or more of the above-mentioned embodiments. As shown in the figure, the method comprises: Figure 5

[0062] S210, when detecting that there is a local discharge signal at at least one part of the power equipment, a target local discharge signal is determined.

[0063] S220, the target local discharge signal is input into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target local discharge signal.

[0064] S231, the target discharge phase distribution spectrum image is subjected to a binaryzation process to determine a binaryzation image corresponding to the target discharge phase distribution spectrum image.

[0065] ​In the binarized image, each pixel has a value of 0 or 1.

[0066] In this embodiment, since the target discharge phase distribution spectrum image is a grayscale image, the pixel value of the target discharge phase distribution spectrum image is between 0 and 255. In order to remove noise from the target discharge phase distribution spectrum image, the target discharge phase distribution spectrum image can be binarized to obtain a clean binarized image.

[0067] For example, the matrix corresponding to the target discharge phase distribution spectrum image can be divided into several 5*5 pixel small matrices, and the average value of each element in the matrix can be calculated. like Then the matrix is ​​denoted as 1, if The matrix is ​​then denoted as 0, where a pixel is white and its value is 0, and a pixel is black and its value is 1. For example, if the grayscale matrix corresponding to the target discharge phase distribution spectrum image is 100*100, a 5*5 pixel submatrix is ​​determined based on each element in the grayscale matrix. Elements located at the edges of the matrix can be padded with zeros when determining the 5*5 pixel submatrix. Based on the above method, a binarized image corresponding to the target discharge phase distribution spectrum image can be determined.

[0068] S232. For each pixel in the binarized image, determine the current pixel according to the preset processing order, and determine whether to adjust the pixel value of the current pixel based on whether the number of pixel values ​​in the preset neighborhood of the current pixel meets the preset conditions, until the pixel value of the last pixel is determined, and obtain the target edge contour image.

[0069] In this embodiment, the preset condition is a pre-defined condition. For example, the preset condition is that for any given pixel, if a second preset number of pixel values ​​are 0 among the first preset number of pixel values ​​to the left of the given pixel, and a second preset number of pixel values ​​are 1 among the first preset number of pixel values ​​to the right of the given pixel; or, if a second preset number of pixel values ​​are 1 among the first preset number of pixel values ​​to the left of the given pixel, and a second preset number of pixel values ​​are 0 among the first preset number of pixel values ​​to the right of the given pixel, then the pixel value corresponding to the given pixel is set to 1; otherwise, the pixel value corresponding to the given pixel is set to 0. For each pixel in the binarized image, the given pixel can be determined sequentially from left to right and from top to bottom. For any given pixel, if the pixel values ​​of pixels within the preset neighborhood of the given pixel match the above preset condition, the pixel value corresponding to the given pixel is determined, until the pixel value of the last pixel is determined, thus obtaining the target edge contour image.

[0070] For example, for each pixel point X(a, b) in the binary image, if at least 8 of X(a-10, b)…X(a-1, b) are 0, at least 8 of X(a+1, b)…X(a+10, b) are 1, or if at least 8 of X(a-10, b)…X(a-1, b) are 1, at least 8 of X(a+1, b)…X(a+10, b) are 0, then 1 is recorded in the boundary matrix, otherwise 0 is recorded. Based on the above method, the pixel values corresponding to each pixel point in the binary image are determined in turn, and the target edge contour image can be determined.

[0071] S241, obtaining each position coordinate corresponding to each edge contour pixel point in the target edge contour image.

[0072] In this embodiment, after the target edge contour image is determined, the pixel points with a pixel value of 1 in the target edge contour image are taken as edge contour pixel points, and the position coordinates corresponding to these edge contour pixel points can be directly obtained. For example, there are 500 pixel points with a pixel value of 1 in the target edge contour image, and the position coordinates corresponding to each edge contour pixel point are (200, 10), (200, 11), (210, 7), …, (618, 300), and the like.

[0073] S242, performing average processing on each position coordinate to determine the target center position coordinate corresponding to the edge contour in the target edge contour image.

[0074] In this embodiment, after obtaining each position coordinate corresponding to each edge contour pixel point, the horizontal coordinates of the position coordinates of each edge contour pixel point are averaged to obtain d, and the vertical coordinates of the position coordinates of each edge contour pixel point are averaged to obtain f, so that the target center position coordinate corresponding to the edge contour is (d, f).

[0075] S250, calling the pre-set mapping relationship table.

[0076] In this embodiment, the mapping relationship table can be pre-stored in the storage unit of the server, and when the task of discriminating the target discharge type is executed, the mapping relationship table can be called at any time.

[0077] S260, determining the similarity value between the target edge contour image and the edge contour image corresponding to different partial discharge types in the mapping relationship table.

[0078] In the embodiment, the target edge profile image is stored in the computer in the form of a matrix, which can be referred to as a target matrix. The mapping relationship table has pre-stored matrices corresponding to each discharge type and each discharge type edge profile image. Based on this, the similarity values between the target matrix and the edge profile image matrices corresponding to different partial discharge types can be calculated respectively.

[0079] S270, based on the pre-set threshold value and the similarity value, determining the to-be-verified discharge type corresponding to the target partial discharge signal.

[0080] In the embodiment, the value of the threshold value can be defined in advance, for example, the threshold value is 90%. After the similarity values between the target matrix and the edge profile image matrices corresponding to different partial discharge types are determined, the size relationship between each similarity value and the threshold value is judged, and the partial discharge type with a similarity value greater than the threshold value is taken as the to-be-verified discharge type corresponding to the target partial discharge signal.

[0081] For example, if four partial discharge types are pre-stored in the mapping relationship table, the four partial discharge types are type 1, type 2, type 3 and type 4, the similarity value between the target matrix and the edge profile image matrix corresponding to type 1 is 20%, the similarity value between the target matrix and the edge profile image matrix corresponding to type 2 is 91%, the similarity value between the target matrix and the edge profile image matrix corresponding to type 3 is 95%, and the similarity value between the target matrix and the edge profile image matrix corresponding to type 4 is 65%, and the threshold value is 90%, then type 2 and type 3 are taken as the to-be-verified discharge type corresponding to the target partial discharge signal.

[0082] S280, judging whether the target center position coordinate is located in the pre-set field of the edge profile center position coordinate corresponding to the to-be-verified discharge type, if yes, taking the to-be-verified discharge type as the target discharge type.

[0083] In the embodiment, if the edge profile center position coordinate is B(x, y), a pre-set number of coordinate points can be determined with the center position coordinate as the center, for example, 10*10 coordinate points are determined with the center position coordinate as the center as the pre-set field of the edge profile center position coordinate.

[0084] On the basis of the above examples, the edge profile center position coordinates corresponding to the to-be-verified discharge type can be called, and it is further judged whether the target center position coordinates are located in the preset field of the edge profile center position coordinates corresponding to the to-be-verified discharge type. If the target center position coordinates are located in the preset field of the edge profile center position coordinates corresponding to the to-be-verified discharge type, the to-be-verified discharge type is taken as the target discharge type. For example, type 2 and type 3 are to-be-verified discharge types, the target center position coordinates are located in the preset field of the edge profile center position coordinates corresponding to type 2, and are not located in the preset field of the edge profile center position coordinates corresponding to type 3. Then, type 2 is taken as the target discharge type. If the target center position coordinates are located in the preset field of the edge profile center position coordinates corresponding to type 2, and are also located in the preset field of the edge profile center position coordinates corresponding to type 3, the to-be-verified discharge type with a larger similarity value is taken as the target discharge type, that is, type 3 is taken as the target discharge type.

[0085] The technical scheme provided by the embodiment of the application comprises the following steps: when it is detected that there is a local discharge signal at at least one part of the power equipment, a target local discharge signal is determined, and then the target local discharge signal is input into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target local discharge signal. Subsequently, the target discharge phase distribution spectrum image is subjected to binaryzation processing to determine a binaryzation image corresponding to the target discharge phase distribution spectrum image. For each pixel point in the binaryzation image, a current pixel point is determined according to a preset processing sequence, and it is determined whether to adjust the pixel value of the current pixel point according to whether the number of pixel values of the pixel points in the preset field of the current pixel point meets a preset condition, until the pixel value of the last pixel point is determined, so that a target edge profile image is obtained. Further, each position coordinate corresponding to each edge profile pixel point in the target edge profile image is obtained, and the position coordinates are subjected to averaging processing to determine a target center position coordinate corresponding to the edge profile in the target edge profile image. Then, a pre-configured mapping relationship table is called to determine the target edge profile image, and the similarity value between the target edge profile image and the edge profile images corresponding to different local discharge types in the mapping relationship table is determined. Based on a pre-configured threshold value and the similarity value, a to-be-verified discharge type corresponding to the target local discharge signal is determined. Finally, it is judged whether the target center position coordinate is located in the preset field of the edge profile center position coordinates corresponding to the to-be-verified discharge type. If yes, the to-be-verified discharge type is taken as the target discharge type. The embodiment of the application solves the technical problem of low accuracy and efficiency of local discharge type identification of power equipment, effectively reduces the identification difficulty of the local discharge type for maintenance personnel, and further improves the efficiency and accuracy of local discharge type identification.

[0086] Embodiment three

[0087] Figure 6 A flow chart of a partial discharge type identification method provided for the second embodiment of the present application, the embodiment of the present application can be combined with each optional scheme in one or more of the above embodiments after determining the target discharge type corresponding to the target partial discharge signal. As shown in the figure, the method comprises: Figure 6

[0088] S310, when detecting that there is a partial discharge signal at at least one part of the power equipment, determining a target partial discharge signal.

[0089] S320, inputting the target partial discharge signal into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal.

[0090] S330, based on the target discharge phase distribution spectrum image, determining a target edge contour image and determining a target center position coordinate corresponding to the edge contour in the target edge contour image.

[0091] S340, based on the target edge contour image, the target center position coordinate and a pre-set mapping relationship table, determining a target discharge type corresponding to the target partial discharge signal.

[0092] S350, based on the target discharge phase distribution spectrum image, determining a target maximum discharge potential of the target partial discharge signal.

[0093] In this embodiment, the horizontal coordinate in the discharge phase distribution spectrum image represents the horizontal coordinate as the power grid power frequency phase, and the vertical coordinate represents the discharge amount. Based on this, the target maximum discharge potential is the discharge amount represented by the pixel point with the maximum vertical coordinate value in the target discharge phase distribution spectrum image.

[0094] S360, calling the maximum discharge point position corresponding to the target discharge type.

[0095] In this embodiment, the maximum discharge point positions corresponding to different discharge types can be pre-stored in the mapping relationship table, and when determining the intensity level of the target partial discharge signal, the maximum discharge point positions corresponding to different discharge types are directly called.

[0096] S370, based on the difference between the target maximum discharge potential and the maximum discharge point position and a pre-set intensity level judgment condition, determining the intensity level of the target partial discharge signal.

[0097] ​In the embodiment, the target maximum discharge point position can indicate the intensity of the target partial discharge signal. In actual application, different intensity levels can adopt different countermeasures, and therefore, the intensity level of the target partial discharge signal can be further determined after the target discharge type is determined.

[0098] In the embodiment, a plurality of different intensity levels can be preset, for example, three intensity levels, i.e., a first level, a second level and a third level, are set, and different intensity levels correspond to different preset difference value ranges of the target maximum discharge potential and the maximum discharge point position. Based on this, after the target maximum discharge potential is determined, the maximum discharge point position corresponding to the target discharge type can be further determined, so as to calculate the difference value between the target maximum discharge potential and the maximum discharge point position. The difference value is located in which intensity level corresponding to the preset difference value range, and then it is indicated that the target partial discharge signal belongs to which intensity level.

[0099] The technical scheme provided by the embodiment of the application can determine the target maximum discharge potential of the target partial discharge signal based on the target discharge phase distribution spectrum image after the target discharge type corresponding to the target partial discharge signal is determined, then the maximum discharge point position corresponding to the target discharge type is called, and then the intensity level of the target partial discharge signal is determined based on the difference value between the target maximum discharge potential and the maximum discharge point position and the preset intensity level judgment condition. Different intensity levels can adopt different countermeasures, and after the intensity level is determined, the corresponding countermeasures can be fully taken to complete fault repair in time.

[0100] Embodiment four

[0101] Figure 7 A structure schematic diagram of a partial discharge type identification device provided by the fourth embodiment of the application is shown in the figure. The device can execute the partial discharge type identification method provided by the embodiment of the application. The device comprises a target signal determination module 410, a target image determination module 420, an image feature determination module 430 and a discharge type determination module 440.

[0102] The target signal determination module 410 is configured to determine a target partial discharge signal when it is detected that there is a partial discharge signal at at least one position of the power equipment.

[0103] The target image determination module 420 is configured to input the target partial discharge signal into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal.

[0104] The image feature determination module 430 is configured to determine a target edge contour image based on the target discharge phase distribution spectrum image, and determine a target center position coordinate corresponding to an edge contour in the target edge contour image.

[0105] The discharge type determination module 440 is configured to determine a target discharge type corresponding to the target partial discharge signal based on the target edge contour image, the target center position coordinates, and a preset mapping relationship table. The mapping relationship table pre-stores edge contour images corresponding to different partial discharge types and edge contour center position coordinates corresponding to different partial discharge types.

[0106] On the basis of the above technical solutions, the target signal determination module 410 comprises:

[0107] The to-be-processed partial discharge signal determination unit is configured to determine the pulse time domain signal in the preset time length as a to-be-processed partial discharge signal when the target detection device detects that the local pulse time domain signal at at least one position on the power equipment has a continuous mutation within a preset time length. The pulse time domain signal is an electrical signal generated when the power equipment is normally powered on.

[0108] The target discharge signal determination unit is configured to perform format unification processing on the to-be-processed partial discharge signal to obtain a target partial discharge signal.

[0109] On the basis of the above technical solutions, the target image determination module 420 comprises:

[0110] The to-be-processed image determination unit is configured to input the target partial discharge signal into a pre-configured image conversion program for processing to obtain a to-be-processed discharge phase distribution spectrum image.

[0111] The target image determination unit is configured to perform grayscale processing on the to-be-processed discharge phase distribution spectrum image to determine a target discharge phase distribution spectrum image.

[0112] On the basis of the above technical solutions, the image feature determination module 430 comprises:

[0113] The binary image determination unit is configured to perform binary processing on the target discharge phase distribution spectrum image to determine a binary image corresponding to the target discharge phase distribution spectrum image.

[0114] The edge contour determination unit is configured to determine a current pixel point according to a preset processing sequence for each pixel point in the binary image, and determine whether to adjust the pixel value of the current pixel point according to whether the number of pixel values of the pixel points in a preset field of the current pixel point meets a preset condition, until the pixel value of the last pixel point is determined, to obtain a target edge contour image.

[0115] On the basis of the above technical solutions, the image feature determination module 430 further comprises:

[0116] The coordinate position acquisition unit is configured to acquire each position coordinate corresponding to each edge contour pixel point in the target edge contour image.

[0117] The center coordinate determination unit is configured to perform average processing on the position coordinates to determine a target center position coordinate corresponding to the edge contour in the target edge contour image.

[0118] On the basis of the above technical solutions, the discharge type determination module 440 comprises:

[0119] The mapping relationship calling unit is configured to call a pre-set mapping relationship table.

[0120] The similarity value determination unit is configured to determine a similarity value between the target edge contour image and an edge contour image corresponding to a different partial discharge type in the mapping relationship table.

[0121] The to-be-verified discharge type determination unit is configured to determine, based on a pre-set threshold value and the similarity value, a to-be-verified discharge type corresponding to the target partial discharge signal.

[0122] The target discharge type determination unit is configured to determine whether the target center position coordinate is located in a pre-set field of an edge contour center position coordinate corresponding to the to-be-verified discharge type, and if yes, the to-be-verified discharge type is taken as the target discharge type.

[0123] On the basis of the above technical solutions, the method further comprises a strength grade determination module, and the strength grade determination module comprises:

[0124] The target maximum potential determination unit is configured to determine, based on the target discharge phase distribution spectrum image, a target maximum discharge potential of the target partial discharge signal.

[0125] The maximum discharge point position determination unit is configured to call a maximum discharge point position corresponding to the target discharge type.

[0126] The strength grade determination unit is configured to determine, based on a difference between the target maximum discharge potential and the maximum discharge point position and a pre-set strength grade judgment condition, a strength grade of the target partial discharge signal.

[0127] The technical scheme provided by the embodiment of the present application determines the target partial discharge signal when detecting that there is a partial discharge signal at at least one position of the power equipment, then inputs the target partial discharge signal into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal, then determines a target edge contour image based on the target discharge phase distribution spectrum image, and determines a target center position coordinate corresponding to an edge contour in the target edge contour image, and further determines a target discharge type corresponding to the target partial discharge signal based on the target edge contour image, the target center position coordinate and a pre-set mapping relationship table, thereby solving the technical problem of low accuracy and efficiency of power equipment partial discharge type identification, effectively reducing the difficulty of maintenance personnel in identifying the partial discharge type, and improving the efficiency and accuracy of partial discharge type identification.

[0128] The partial discharge type identification device provided by the embodiment of the present application can execute the partial discharge type identification method provided by any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0129] It should be noted that each unit and module included in the above device is only divided according to the function logic, but is not limited to the above division, as long as the corresponding function can be realized; in addition, the specific name of each functional unit is only for convenient mutual distinction, and is not used to limit the protection scope of the embodiment of the present application.

[0130] Embodiment five

[0131] Figure 8 A structural schematic diagram of an electronic device is provided for the fifth embodiment of the present application. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit implementations of the present application described and / or claimed in this document.

[0132] As Figure 8As shown, the electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., communicatively connected to the at least one processor 11, where the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0133] Various components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc., an output unit 17, such as various types of displays, a speaker, etc., a storage unit 18, such as a magnetic disk, an optical disk, etc., and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0134] The processor 11 can be various general and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as the partial discharge type identification method.

[0135] In some embodiments, the partial discharge type identification method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the partial discharge type identification method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the partial discharge type identification method by any other appropriate means, such as by means of firmware.

[0136] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a load programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0137] Computer programs used to implement the processes of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable processing apparatus to produce a machine, such that the computer program, when executed, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package and partially on a remote machine or entirely on a remote machine or server.

[0138] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0139] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0140] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), blockchain network, and the Internet.

[0141] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service. It should be understood that various forms of flow shown above can be used to reorder, add or delete steps. For example, each step described in the present application can be executed in parallel, sequentially or in different order, as long as the desired results of the technical solutions of the present application can be achieved, which is not limited herein. The above specific embodiments do not constitute a limitation on the scope of protection of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A partial discharge type identification method characterized by, The method comprises the following steps: When detecting that there is a partial discharge signal at at least one position of the power equipment, determine a target partial discharge signal; Input the target partial discharge signal into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal; Based on the target discharge phase distribution spectrum image, determine a target edge contour image, and determine a target center position coordinate corresponding to the edge contour in the target edge contour image; Based on the target edge contour image, the target center position coordinate, and a pre-configured mapping relationship table, determine a target discharge type corresponding to the target partial discharge signal; wherein the mapping relationship table pre-stores edge contour images corresponding to different partial discharge types and edge contour center position coordinates corresponding to different partial discharge types; The method comprises the following steps: Call the pre-configured mapping relationship table; Determine a similarity value between the target edge contour image and the edge contour images corresponding to different partial discharge types in the mapping relationship table; Based on a pre-configured threshold value and the similarity value, determine a to-be-verified discharge type corresponding to the target partial discharge signal; Determine whether the target center position coordinate is located within a pre-configured field of the edge contour center position coordinates corresponding to the to-be-verified discharge type, and if so, take the to-be-verified discharge type as the target discharge type.

2. The method of claim 1, wherein, The method comprises the following steps: When the target detection device detects that a local pulse time domain signal at at least one position of the power equipment has a continuous mutation within a pre-configured time length, determine the pulse time domain signal within the pre-configured time length as a to-be-processed partial discharge signal; wherein the pulse time domain signal is an electrical signal generated when the power equipment is normally working; Perform format unification processing on the to-be-processed partial discharge signal to obtain the target partial discharge signal.

3. The method of claim 1, wherein, The method comprises the following steps: Input the target partial discharge signal into a pre-configured image conversion program to process and obtain a to-be-processed discharge phase distribution spectrum image; Perform grayscale processing on the to-be-processed discharge phase distribution spectrum image to determine the target discharge phase distribution spectrum image.

4. The method of claim 1, wherein, The method comprises the following steps: Perform binaryzation processing on the target discharge phase distribution spectrum image to determine a binaryzation image corresponding to the target discharge phase distribution spectrum image; For each pixel point in the binaryzation image, determine a current pixel point according to a pre-configured processing order, Determine whether to adjust the pixel value of the current pixel point according to whether the number of pixel values of the pixel points within a pre-configured field of the current pixel point meets a pre-configured condition, until the pixel value of the last pixel point is determined, and the target edge contour image is obtained.

5. The method of claim 1, wherein, The determining the target center position coordinate corresponding to the edge profile in the target edge profile image comprises: obtaining each position coordinate corresponding to each edge profile pixel point in the target edge profile image; averaging each position coordinate to determine the target center position coordinate corresponding to the edge profile in the target edge profile image.

6. The method of claim 1, wherein, Further comprising: determining the target maximum discharge potential of the target partial discharge signal based on the target discharge phase distribution spectrum image; calling the maximum discharge point corresponding to the target discharge type; determining the intensity level of the target partial discharge signal based on the difference between the target maximum discharge potential and the maximum discharge point and the preset intensity level judgment condition.

7. A partial discharge type identification apparatus characterized by comprising: Comprise: A target signal determination module for determining a target partial discharge signal when detecting that at least one part of the power equipment has a partial discharge signal; A target image determination module for inputting the target partial discharge signal into a pre-configured image conversion program to determine a target discharge phase distribution spectrum image corresponding to the target partial discharge signal; An image feature determination module for determining a target edge profile image based on the target discharge phase distribution spectrum image and determining a target center position coordinate corresponding to the edge profile in the target edge profile image; A discharge type determination module for determining a target discharge type corresponding to the target partial discharge signal based on the target edge profile image, the target center position coordinate, and a pre-set mapping relationship table, wherein the mapping relationship table pre-stores edge profile images corresponding to different partial discharge types and edge profile center position coordinates corresponding to different partial discharge types; The discharge type determination module comprises: A mapping relationship calling unit for calling a pre-set mapping relationship table; A similarity value determination unit for determining a similarity value between the target edge profile image and edge profile images corresponding to different partial discharge types in the mapping relationship table; A to-be-verified discharge type determination unit for determining a to-be-verified discharge type corresponding to the target partial discharge signal based on a pre-set threshold and the similarity value; A target discharge type determination unit for determining whether the target center position coordinate is located within a pre-set field of the edge profile center position coordinate corresponding to the to-be-verified discharge type, and if so, taking the to-be-verified discharge type as the target discharge type.

8. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the partial discharge type identification method in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to execute the partial discharge type identification method in any one of claims 1-6 when executed.

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