Method and system for efficiently detecting ultraviolet corona discharge of power transmission line insulator

Abstract

The invention provides a power transmission line insulator ultraviolet corona discharge efficient detection method and system, and the method comprises the steps: obtaining a to-be-detected ultraviolet image of a target insulator, segmenting the to-be-detected ultraviolet image according to a preset pixel gradient, obtaining a to-be-detected region set according to a segmentation result, and carrying out the segmentation of the to-be-detected region set, the to-be-detected region set comprises at least one to-be-detected region; traversing all to-be-detected areas in the to-be-detected area set to judge whether a discharge area exists in the to-be-detected area set or not; if a discharge region exists in the to-be-detected region set, extracting a first feature, a second feature and a third feature from the discharge region; and fusing the first feature, the second feature and the third feature to obtain a fused feature, and evaluating the discharge degree of the corresponding discharge region according to the fused feature. The efficiency and the accuracy of discharge detection can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of insulator discharge detection, and in particular to a high-efficiency detection method and system for ultraviolet corona discharge of transmission line insulators. Background Art

[0002] In power systems, UV corona discharge detection on transmission line insulators is a crucial step in ensuring safe and stable grid operation. Traditionally, this detection process relies primarily on manual inspections or automated methods based on simple image processing techniques. Manual inspections are not only inefficient but also limited by the inspector's experience level and environmental factors, making them prone to missed detections or misjudgments. While existing automated detection methods have improved detection efficiency to a certain extent, they often rely on single indicators or simple models to assess the extent of discharge, failing to fully reflect the complex characteristics of the discharge area and resulting in inaccurate and unreliable results. Summary of the Invention

[0003] The object of the present invention is to provide a method and system for efficiently detecting ultraviolet corona discharge of transmission line insulators, aiming to solve the problems of low detection efficiency and low accuracy of detection results.

[0004] In a first aspect, the present invention provides a method for efficiently detecting ultraviolet corona discharge on transmission line insulators, the method comprising:

[0005] Acquire an ultraviolet image of a target insulator to be inspected, segment the ultraviolet image to be inspected according to a preset pixel gradient, and acquire a set of regions to be inspected according to the segmentation result, wherein the set of regions to be inspected includes at least one region to be inspected;

[0006] Traversing all the areas to be detected in the area set to be detected to determine whether there is a discharge area in the area set to be detected;

[0007] If there are concentrated discharge areas in the area to be detected, extracting the first feature, the second feature, and the third feature from the discharge areas;

[0008] The first feature, the second feature, and the third feature are fused to obtain a fused feature, and the discharge degree of the corresponding discharge area is evaluated according to the fused feature.

[0009] Furthermore, the steps of obtaining an ultraviolet image of the target insulator to be inspected, segmenting the ultraviolet image to be inspected according to a preset pixel gradient, and obtaining a set of regions to be inspected according to the segmentation results include:

[0010] Acquire a time-series ultraviolet image of the target insulator, wherein the time-series ultraviolet image includes a plurality of ultraviolet images to be detected at consecutive moments, and grayscale process each of the ultraviolet images to be detected to obtain a grayscale image corresponding to each ultraviolet image to be detected;

[0011] The preset pixel gradient includes multiple preset pixel ranges. Any pixel point in the grayscale image is selected as the starting point, and the surrounding neighborhood pixels are traversed step by step from the starting point. At least one area to be detected corresponding to each preset pixel range is obtained according to the traversal result. The expression is as follows:

[0012] R k ={O i (x i ,y i ), i = 1, 2, ..., m|T k ≤O i (x i ,y i ) <T k+1}

[0013] Among them, R k represents the area to be detected corresponding to the k-th preset pixel range, O i (x i ,y i ) represents the pixel value of the i-th pixel, x i 、y i Represent the horizontal and vertical coordinates of the i-th pixel, respectively, and m represents the area to be detected R k The total number of pixels, T k represents the lower limit value of the kth preset pixel range or the upper limit value of the k-1th preset pixel range, T k+1 Indicates the upper limit value of the kth preset pixel range or the lower limit value of the k+1th preset pixel range.

[0014] Furthermore, the step of gray-scaling each of the ultraviolet images to be detected to obtain a grayscale image corresponding to each of the ultraviolet images to be detected includes:

[0015] The grayscale processing of the UV image to be detected is performed according to the following formula:

[0016] O i (x i ,y i )=0.299R i (x i ,y i )+0.587G i (x i ,y i )+0.114B i (xi ,y i )

[0017] Among them, R i (x i ,y i ), G i (x i ,y i ), B i (x i ,y i ) represent the R value, G value, and B value of the i-th pixel in the ultraviolet image to be detected.

[0018] Furthermore, the step of traversing all the areas to be detected in the area set to be detected to determine whether there is a discharge area in the area set to be detected includes:

[0019] Obtaining the mean variance of each area to be detected, and determining whether the mean variance is greater than a preset variance threshold;

[0020] If the mean variance is greater than a preset variance threshold, it is determined that a discharge area exists in the area to be detected.

[0021] Furthermore, the step of obtaining the mean variance of each area to be detected includes:

[0022] The mean variance of each area to be detected is obtained according to the following formula:

[0023]

[0024] Among them, σ k is the mean variance of the kth region to be detected, is the average pixel value of the kth area to be detected.

[0025] Furthermore, the first feature is the discharge area of ​​the area to be detected where the discharge area exists, the second feature is the discharge intensity of the area to be detected where the discharge area exists, and the third feature is the complexity of the discharge shape of the area to be detected where the discharge area exists;

[0026] The step of fusing the first feature, the second feature, and the third feature to obtain a fused feature includes:

[0027] The fusion feature is obtained according to the following formula:

[0028] F k =α1S k +α2Q k +α3X k

[0029] Among them, F kIndicates the fusion features of the kth region to be detected where there is a discharge area, S k Indicates the discharge area of ​​the kth detection area where there is a discharge area, Q k is the discharge intensity of the kth area to be detected where there is a discharge area, X k is the discharge morphology complexity of the kth area to be detected where there is a discharge area, and α1, α2, and α3 all represent weight coefficients.

[0030] Furthermore, the step of evaluating the discharge degree of the corresponding discharge area according to the fusion feature includes:

[0031] Obtaining historical discharge areas with known discharge degrees, and extracting historical fusion features of the historical discharge areas respectively;

[0032] The historical fusion features are labeled according to the known discharge degree, and the labeled results are the discharge degree values. The labeled historical fusion features are input into a preset initial discharge degree detection model for training to obtain a final discharge degree detection model.

[0033] Inputting the fused features into the final discharge degree detection model to obtain a discharge degree value of each to-be-detected area where a discharge region exists;

[0034] And according to the discharge degree value, the corresponding discharge level is retrieved from the preset database.

[0035] In a second aspect, the present invention provides a high-efficiency detection system for ultraviolet corona discharge of transmission line insulators, the system comprising:

[0036] An image segmentation module is configured to obtain an ultraviolet image of a target insulator to be inspected, segment the ultraviolet image to be inspected according to a preset pixel gradient, and obtain a set of regions to be inspected based on the segmentation results, wherein the set of regions to be inspected includes at least one region to be inspected;

[0037] a discharge area detection module, configured to traverse all the areas to be detected in the set of areas to be detected to determine whether there is a discharge area in the set of areas to be detected;

[0038] a feature extraction module, configured to extract a first feature, a second feature, and a third feature from a discharge area if a discharge area is concentrated in the area to be detected;

[0039] The feature fusion module is used to fuse the first feature, the second feature, and the third feature to obtain a fused feature, and evaluate the discharge degree of the corresponding discharge area according to the fused feature.

[0040] In a third aspect, the present invention provides a storage medium storing one or more programs, which, when executed by a processor, implement the above-mentioned method for efficiently detecting ultraviolet corona discharge of transmission line insulators.

[0041] In a fourth aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein:

[0042] The memory is used to store computer programs;

[0043] When the processor is used to execute the computer program stored in the memory, the above-mentioned high-efficiency detection method for ultraviolet corona discharge of transmission line insulators is implemented.

[0044] Compared with the prior art, the present invention has the following advantages:

[0045] The present invention quickly identifies the discharge area, then extracts features such as the discharge area, discharge intensity and discharge morphology complexity of the discharge area, and fuses these features to obtain fused features, which can more comprehensively reflect the characteristics of the discharge area. The fused features are then used to obtain an evaluation result, which can improve the accuracy and reliability of the discharge degree evaluation and provide a stronger guarantee for the safe and stable operation of the power grid. Specifically, first, an ultraviolet image of the target insulator to be detected is obtained and segmented according to a preset pixel gradient, and then the ultraviolet image is quickly segmented into multiple areas to be detected. Then, the set of areas to be detected is traversed to identify the areas to be detected where the discharge area exists. After the discharge area is identified, multiple features are extracted from the discharge area, and the obtained multiple features are fused. Finally, the discharge degree is obtained according to the fused features representing the comprehensive characteristics of the discharge area. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a flow chart of a highly efficient method for detecting ultraviolet corona discharge on transmission line insulators according to one embodiment of the present invention;

[0047] Figure 2 This is a schematic structural diagram of a high-efficiency detection system for ultraviolet corona discharge on transmission line insulators proposed in one embodiment of the present invention.

[0048] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Unless otherwise defined, the technical terms or scientific terms used herein should be the common meanings understood by people with ordinary skills in the field to which the invention belongs. The words "including" and similar words used in this article mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects.

[0050] like Figure 1 As shown, an embodiment of the present invention provides a method for efficiently detecting ultraviolet corona discharge of transmission line insulators, the method comprising steps S101 to S104, wherein:

[0051] Step S101: obtaining an ultraviolet image of a target insulator to be inspected, segmenting the ultraviolet image to be inspected according to a preset pixel gradient, and obtaining a set of regions to be inspected according to the segmentation result, wherein the set of regions to be inspected includes at least one region to be inspected;

[0052] It should be noted that the preset pixel gradient includes several ones, and its main purpose is to quickly segment the ultraviolet image. In this embodiment, the preset pixel gradient is not a single threshold, but a hierarchical parameter set composed of multiple gradient thresholds.

[0053] In addition, in the specific segmentation process, a time-series ultraviolet image of the target insulator is obtained, wherein the time-series ultraviolet image includes a plurality of ultraviolet images to be detected at consecutive moments, and each ultraviolet image to be detected is grayscaled to obtain a grayscale image corresponding to each ultraviolet image to be detected;

[0054] The preset pixel gradient includes multiple preset pixel ranges. Any pixel point in the grayscale image is selected as the starting point, and the surrounding neighborhood pixels are traversed step by step from the starting point. At least one area to be detected corresponding to each preset pixel range is obtained according to the traversal result. The expression is as follows:

[0055] R k ={O i (x i ,y i ), i = 1, 2, ..., m|T k ≤O i (x i ,y i ) <T k+1}

[0056] Among them, R k represents the area to be detected corresponding to the k-th preset pixel range, O i (x i ,y i ) represents the pixel value of the i-th pixel, x i 、y i Represent the horizontal and vertical coordinates of the i-th pixel, respectively, and m represents the area to be detected R k The total number of pixels, T k represents the lower limit value of the kth preset pixel range or the upper limit value of the k-1th preset pixel range, T k+1 Represents the upper limit of the kth preset pixel range or the lower limit of the k+1th preset pixel range. It should be noted that since pixels in the same preset pixel range may exist in discrete space, this step gradually traverses from the starting point to the surrounding neighborhood pixels, taking into account spatial consistency. The pixels in all the areas to be detected are adjacent. At the same time, there may be multiple areas to be detected within the same preset pixel range.

[0057] Furthermore, in some embodiments, the grayscale processing of the ultraviolet image to be detected is performed according to the following formula:

[0058] O i (x i ,y i )=0.299R i (x i ,y i )+0.587G i (x i ,y i )+0.114B i (x i ,y i )

[0059] Among them, R i (x i ,y i ), G i (x i ,y i ), B i (x i ,y i ) represent the R value, G value, and B value of the i-th pixel in the ultraviolet image to be detected.

[0060] Step S102: traversing all the areas to be detected in the area set to be detected to determine whether there is a discharge area in the area set to be detected;

[0061] In order to accurately identify the discharge area, in this step, the mean variance of each area to be detected is obtained, and it is determined whether the mean variance is greater than a preset variance threshold;

[0062] If the mean variance is greater than a preset variance threshold, it is determined that a discharge area exists in the area to be detected.

[0063] In some embodiments, the mean variance of each area to be detected is obtained according to the following formula:

[0064]

[0065] Among them, σ k is the mean variance of the kth region to be detected, is the average pixel value of the kth area to be detected.

[0066] Step S103: if there are discharge areas in the area to be detected, extract the first feature, the second feature, and the third feature of the discharge areas;

[0067] It should be pointed out that in this step, the first feature is the discharge area of ​​the area to be detected where the discharge area exists, the second feature is the discharge intensity of the area to be detected where the discharge area exists, and the third feature is the discharge morphology complexity of the area to be detected where the discharge area exists. The discharge morphology complexity refers to the ratio of the area to the perimeter of the discharge area.

[0068] Step S104: fusing the first feature, the second feature, and the third feature to obtain a fused feature, and evaluating the discharge degree of the corresponding discharge area according to the fused feature.

[0069] It should be noted that the fusion feature is obtained according to the following formula:

[0070] F k =α1S k +α2Q k +α3X k

[0071] Among them, F k Indicates the fusion features of the kth region to be detected where there is a discharge area, S k Indicates the discharge area of ​​the kth detection area where there is a discharge area, Q k is the discharge intensity of the kth area to be detected where there is a discharge area, X k is the discharge morphology complexity of the kth area to be detected where there is a discharge area, and α1, α2, and α3 all represent weight coefficients.

[0072] In the process of evaluating the discharge degree, first, historical discharge areas with known discharge degrees are obtained, and historical fusion features of the historical discharge areas are extracted respectively; then, the historical fusion features are labeled according to the known discharge degree, and the labeling result is a discharge degree value. The labeled historical fusion features are input into a preset initial discharge degree detection model for training to obtain a final discharge degree detection model; then, the fusion features are input into the final discharge degree detection model to obtain the discharge degree value of each area to be detected where there is a discharge area; and according to the discharge degree value, the corresponding discharge level is retrieved from the preset database. It should be noted that the preset database contains multiple discharge degree ranges and discharge levels corresponding to each discharge degree range. After obtaining the discharge degree value, it is determined in which discharge degree range the discharge degree value falls, and the corresponding discharge level can be determined.

[0073] The present invention quickly identifies the discharge area, then extracts features such as the discharge area, discharge intensity and discharge morphology complexity of the discharge area, and fuses these features to obtain fused features, which can more comprehensively reflect the characteristics of the discharge area. The fused features are then used to obtain an evaluation result, which can improve the accuracy and reliability of the discharge degree evaluation and provide a stronger guarantee for the safe and stable operation of the power grid. Specifically, first, an ultraviolet image of the target insulator to be detected is obtained and segmented according to a preset pixel gradient, and then the ultraviolet image is quickly segmented into multiple areas to be detected. Then, the set of areas to be detected is traversed to identify the areas to be detected where the discharge area exists. After the discharge area is identified, multiple features are extracted from the discharge area, and the obtained multiple features are fused. Finally, the discharge degree is obtained according to the fused features representing the comprehensive characteristics of the discharge area.

[0074] like Figure 2 As shown, an embodiment of the present invention provides a high-efficiency detection system for ultraviolet corona discharge of transmission line insulators, the system comprising:

[0075] An image segmentation module 10 is configured to obtain an ultraviolet image of a target insulator to be inspected, segment the ultraviolet image according to a preset pixel gradient, and obtain a set of regions to be inspected based on the segmentation results, wherein the set of regions to be inspected includes at least one region to be inspected;

[0076] The discharge area detection module 20 is used to traverse all the areas to be detected in the set of areas to be detected to determine whether there is a discharge area in the set of areas to be detected;

[0077] A feature extraction module 30 is configured to extract a first feature, a second feature, and a third feature from a discharge area if the discharge area is concentrated in the area to be detected;

[0078] The feature fusion module 40 is configured to fuse the first feature, the second feature, and the third feature to obtain a fused feature, and evaluate the discharge degree of the corresponding discharge area based on the fused feature.

[0079] Another aspect of the present invention further provides a storage medium having one or more programs stored thereon, which, when executed by a processor, implements the above-mentioned high-efficiency detection method for ultraviolet corona discharge of transmission line insulators.

[0080] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory to implement the above-mentioned efficient detection method for ultraviolet corona discharge of transmission line insulators.

[0081] Those skilled in the art will appreciate that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or in conjunction with such instruction execution system, apparatus, or device. For purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by an instruction execution system, apparatus, or device, or in conjunction with such instruction execution system, apparatus, or device.

[0082] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0083] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement the hardware: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0084] While the embodiments of the present invention have been described in detail above, it will be apparent to those skilled in the art that various modifications and variations of these embodiments are possible. However, it should be understood that such modifications and variations are within the scope and spirit of the present invention as set forth in the claims. Furthermore, the invention described herein is susceptible to other embodiments and may be practiced or implemented in a variety of ways.

Claims

1. A high-efficiency detection method for ultraviolet corona discharge of transmission line insulators, characterized in that: The method comprises: Acquire an ultraviolet image of a target insulator to be inspected, segment the ultraviolet image to be inspected according to a preset pixel gradient, and acquire a set of regions to be inspected according to the segmentation result, wherein the set of regions to be inspected includes at least one region to be inspected; Traversing all the areas to be detected in the area set to be detected to determine whether there is a discharge area in the area set to be detected; If there are concentrated discharge areas in the area to be detected, extracting the first feature, the second feature, and the third feature from the discharge areas; The first feature, the second feature, and the third feature are fused to obtain a fused feature, and the discharge degree of the corresponding discharge area is evaluated according to the fused feature.

2. The high-efficiency detection method for ultraviolet corona discharge of transmission line insulators according to claim 1, characterized in that: The steps of obtaining an ultraviolet image of the target insulator to be inspected, segmenting the ultraviolet image to be inspected according to a preset pixel gradient, and obtaining a set of regions to be inspected according to the segmentation results include: Acquire a time-series ultraviolet image of the target insulator, wherein the time-series ultraviolet image includes a plurality of ultraviolet images to be detected at consecutive moments, and grayscale process each of the ultraviolet images to be detected to obtain a grayscale image corresponding to each ultraviolet image to be detected; The preset pixel gradient includes multiple preset pixel ranges. Any pixel point in the grayscale image is selected as the starting point, and the surrounding neighborhood pixels are traversed step by step from the starting point. At least one area to be detected corresponding to each preset pixel range is obtained according to the traversal result. The expression is as follows: R k ={O i (x i ,y i ),i=1、2、…、m|T k ≤O i (x i ,y i )<T k+1 } Among them, R k represents the area to be detected corresponding to the k-th preset pixel range, O i (x i ,y i ) represents the pixel value of the i-th pixel, x i 、y i Represent the horizontal and vertical coordinates of the i-th pixel, respectively, and m represents the area to be detected R k The total number of pixels, T k represents the lower limit value of the kth preset pixel range or the upper limit value of the k-1th preset pixel range, T k+1 Indicates the upper limit value of the kth preset pixel range or the lower limit value of the k+1th preset pixel range.

3. The high-efficiency detection method for ultraviolet corona discharge of transmission line insulators according to claim 2, characterized in that: The step of graying each of the ultraviolet images to be detected to obtain a grayscale image corresponding to each of the ultraviolet images to be detected comprises: The grayscale processing of the UV image to be detected is performed according to the following formula: O i (x i ,y i )=0.299R i (x i ,y i )+0.587G i (x i ,y i )+0.114B i (x i ,y i ) Among them, R i (x i ,y i ), G i (x i ,y i ), B i (x i ,y i ) represent the R value, G value, and B value of the i-th pixel in the ultraviolet image to be detected.

4. The high-efficiency detection method for ultraviolet corona discharge of transmission line insulators according to claim 3, characterized in that: The step of traversing all the areas to be detected in the area set to be detected to determine whether there is a discharge area in the area set to be detected includes: Obtaining the mean variance of each area to be detected, and determining whether the mean variance is greater than a preset variance threshold; If the mean variance is greater than a preset variance threshold, it is determined that a discharge area exists in the area to be detected.

5. The high-efficiency detection method for ultraviolet corona discharge of transmission line insulators according to claim 4, characterized in that: The step of obtaining the mean variance of each area to be detected includes: The mean variance of each area to be detected is obtained according to the following formula: Among them, σ k is the mean variance of the kth region to be detected, is the average pixel value of the kth area to be detected.

6. The high-efficiency detection method for ultraviolet corona discharge of transmission line insulators according to claim 5, characterized in that: The first feature is the discharge area of ​​the area to be detected where the discharge area exists, the second feature is the discharge intensity of the area to be detected where the discharge area exists, and the third feature is the complexity of the discharge shape of the area to be detected where the discharge area exists; The step of fusing the first feature, the second feature, and the third feature to obtain a fused feature includes: The fusion feature is obtained according to the following formula: F k =α1S k +α2Q k +α3X k Among them, F k Indicates the fusion features of the kth region to be detected where there is a discharge area, S k Indicates the discharge area of ​​the kth detection area where there is a discharge area, Q k is the discharge intensity of the kth area to be detected where there is a discharge area, X k is the discharge morphology complexity of the kth area to be detected where there is a discharge area, and α1, α2, and α3 all represent weight coefficients.

7. The high-efficiency detection method for ultraviolet corona discharge of transmission line insulators according to claim 6, characterized in that: The step of evaluating the discharge degree of the corresponding discharge area according to the fusion feature includes: Obtaining historical discharge areas with known discharge degrees, and extracting historical fusion features of the historical discharge areas respectively; The historical fusion features are labeled according to the known discharge degree, and the labeled results are the discharge degree values. The labeled historical fusion features are input into a preset initial discharge degree detection model for training to obtain a final discharge degree detection model. Inputting the fused features into the final discharge degree detection model to obtain a discharge degree value of each to-be-detected area where a discharge region exists; And according to the discharge degree value, the corresponding discharge level is retrieved from the preset database.

8. An efficient detection system for ultraviolet corona discharge of transmission line insulators, characterized in that: The system comprises: An image segmentation module is configured to obtain an ultraviolet image of a target insulator to be inspected, segment the ultraviolet image to be inspected according to a preset pixel gradient, and obtain a set of regions to be inspected based on the segmentation results, wherein the set of regions to be inspected includes at least one region to be inspected; a discharge area detection module, configured to traverse all the areas to be detected in the set of areas to be detected to determine whether there is a discharge area in the set of areas to be detected; a feature extraction module, configured to extract a first feature, a second feature, and a third feature from a discharge area if a discharge area is concentrated in the area to be detected; The feature fusion module is used to fuse the first feature, the second feature, and the third feature to obtain a fused feature, and evaluate the discharge degree of the corresponding discharge area according to the fused feature.

9. A storage medium, characterized in that: The storage medium stores one or more programs, which, when executed by a processor, implement the efficient detection method for ultraviolet corona discharge of transmission line insulators according to any one of claims 1 to 7.

10. An electronic device comprising a memory and a processor, wherein: The memory is used to store computer programs; When the processor is used to execute the computer program stored in the memory, it implements the high-efficiency detection method for ultraviolet corona discharge of transmission line insulators according to any one of claims 1 to 7.

Images