Insulator insulation performance detection method, device and equipment based on ultraviolet imaging

Abstract

The invention discloses an insulator insulation performance detection method, device and equipment based on ultraviolet imaging, and relates to the field of power equipment detection. The method comprises the following steps: acquiring an ultraviolet image when a target insulator discharges through ultraviolet imaging equipment; performing image processing on the ultraviolet image, and extracting a light spot area of discharge of the target insulator; the light spot area parameter of the light spot area is calculated, and the relative discharge intensity of the target insulator is calculated according to the corresponding relation between the light spot area parameter and the relative discharge intensity; and obtaining the insulation performance grade of the target insulator according to the relative discharge intensity. The method can accurately evaluate the insulation performance of the insulator, is helpful for related personnel to find hidden dangers in time, reasonably arrange maintenance, and guarantee stable operation of a power system.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment detection, and particularly to a method, device and equipment for detecting the insulation performance of insulators based on ultraviolet imaging. Background Art

[0002] Insulators are important components of the power system and are widely used in substations, transmission lines and various power equipment to provide electrical insulation, prevent current leakage and short - circuit accidents, and ensure the safety of power transmission. The insulation performance of insulators is an important indicator to measure the reliability of insulators. Therefore, it is necessary to monitor the insulation performance of insulators to timely detect potential safety hazards and ensure the stable operation of the system.

[0003] Insulator discharge is a common insulation fault phenomenon. When detecting the insulation performance of insulators based on the discharge phenomenon of insulators, how to quantify the insulator discharge to improve the accuracy of insulation performance evaluation is still an urgent problem to be solved. Summary of the Invention

[0004] In view of this, the present application provides a method, device and equipment for detecting the insulation performance of insulators based on ultraviolet imaging, and the main purpose is to improve the accuracy of insulator insulation performance detection.

[0005] According to the first aspect of the present invention, a method for detecting the insulation performance of insulators based on ultraviolet imaging is provided, and the method includes:

[0006] Obtain an ultraviolet image of a target insulator during discharge through an ultraviolet imaging device;

[0007] Perform image processing on the ultraviolet image to extract the spot area of the target insulator discharge;

[0008] Calculate the spot area parameter of the spot area, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the spot area parameter and the relative discharge intensity;

[0009] Obtain the insulation performance grade of the target insulator according to the relative discharge intensity

[0010] Optionally, the performing image processing on the ultraviolet image to extract the spot area of the target insulator discharge includes: obtaining the grayscale image corresponding to the ultraviolet image, converting the grayscale image into a binary image; performing morphological filtering processing on the binary image to obtain the spot area of the target insulator discharge.

[0011] Optionally, calculating the spot area parameter of the spot region and calculating the relative discharge intensity of the target insulator according to the correspondence between the spot area parameter and the relative discharge intensity includes: identifying the region corresponding to the target insulator in the ultraviolet image and calculating the area of the target insulator; calculating the number of pixel points in the spot region to obtain the spot region area; calculating the ratio of the spot region area to the area of the target insulator to obtain the spot area parameter; obtaining the correspondence between the spot area parameter and the relative discharge intensity, and calculating the relative discharge intensity of the target insulator.

[0012] Optionally, obtaining the correspondence between the spot area parameter and the relative discharge intensity and calculating the relative discharge intensity of the target insulator includes: applying a voltage to the sample insulator and gradually increasing the voltage step by step to the flashover of the sample insulator; continuously photographing the sample insulator through an ultraviolet imaging device during the application of the voltage to the sample insulator to obtain a plurality of sample images; extracting the spot region of each sample image and calculating the spot region area; calculating the correspondence between the spot area parameter and the relative discharge intensity based on the spot region area and the applied voltage corresponding to each sample image.

[0013] Optionally, calculating the correspondence between the spot area parameter and the relative discharge intensity based on the spot region area and the applied voltage corresponding to each sample image includes: identifying the region corresponding to the sample insulator in the sample image and calculating the area of the sample insulator; calculating the spot area parameter corresponding to each sample image according to the ratio of the spot region area to the area of the sample insulator; calculating the relative voltage corresponding to each sample image according to the ratio of the applied voltage corresponding to the sample image to the flashover voltage, where the relative voltage is used to characterize the relative discharge intensity; calculating the correspondence between the spot area parameter and the relative discharge intensity based on the correspondence between the spot area parameter and the relative voltage of each sample image.

[0014] Optionally, obtaining the insulation performance level of the target insulator according to the relative discharge intensity includes: dividing the relative discharge intensity into levels, and obtaining the insulation performance level corresponding to the target insulator based on the level of the relative discharge intensity; outputting an alarm message when the insulation performance level of the target insulator reaches a preset threshold.

[0015] Optionally, obtaining the insulation performance level of the target insulator according to the relative discharge intensity further includes: taking multiple ultraviolet images of the target insulator within a preset time, and simultaneously obtaining the environmental parameters corresponding to each ultraviolet image, where the environmental parameters include temperature, humidity, wind force, air quality, weather conditions; calculating the insulation performance level corresponding to each ultraviolet image, and outputting the insulation performance level and environmental parameters corresponding to each ultraviolet image; or, screening the ultraviolet images whose environmental parameters meet the preset conditions as target ultraviolet images, calculating the insulation performance level corresponding to the target ultraviolet images, and obtaining the insulation performance level of the target insulator.

[0016] According to a second aspect of the present invention, there is provided an insulator insulation performance detection device based on ultraviolet imaging, the device comprising:

[0017] An image acquisition module, configured to obtain an ultraviolet image when the target insulator discharges through an ultraviolet imaging device;

[0018] A spot extraction module, configured to perform image processing on the ultraviolet image to extract the spot area where the target insulator discharges;

[0019] A data processing module, configured to calculate the spot area parameter of the spot area, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the spot area parameter and the relative discharge intensity;

[0020] A result output module, configured to obtain the insulation performance level of the target insulator according to the relative discharge intensity.

[0021] According to a third aspect of the present invention, there is provided a storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned insulator insulation performance detection method based on ultraviolet imaging is implemented.

[0022] According to a fourth aspect of the present invention, there is provided a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the above-mentioned insulator insulation performance detection method based on ultraviolet imaging is implemented.

[0023] A method, device, and equipment for detecting the insulation performance of insulators based on ultraviolet imaging provided by the present invention first obtain an ultraviolet image of a target insulator during discharge through an ultraviolet imaging device; perform image processing on the ultraviolet image to extract the light spot area of the discharge of the target insulator; then calculate the light spot area parameter of the light spot area, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the light spot area parameter and the relative discharge intensity; finally, obtain the insulation performance level of the target insulator according to the relative discharge intensity. By means of the above technical solution, an ultraviolet image of a target insulator during discharge is obtained through an ultraviolet imaging device, which can visually present the discharge situation without interfering with the normal operation of the insulator, providing a data basis for subsequent analysis. Then, image processing is performed on the ultraviolet image to extract the discharge light spot area, which can remove interference factors in a complex environment and highlight the key information of the discharge light spot, laying a foundation for quantitative analysis. Using the light spot area parameter as a quantitative index, first calculate the relative discharge intensity through the light spot area parameter, and then evaluate the insulation performance according to the relative discharge intensity, making the evaluation result more objective and accurate, helping relevant personnel to discover potential hazards in time, reasonably arrange maintenance, and ensure the stable operation of the power system.

[0024] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the present application more obvious and understandable, the specific embodiments of the present application are specifically given below. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings described herein are used to provide a further understanding of the present invention, and constitute a part of the present application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0026] Figure 1 A flowchart showing a method for detecting the insulation performance of insulators based on ultraviolet imaging provided by an embodiment of the present invention is shown;

[0027] Figure 2 A structural diagram showing a device for detecting the insulation performance of insulators based on ultraviolet imaging provided by an embodiment of the present invention is shown;

[0028] Figure 3 A structural diagram showing a computer device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0030] Based on the above problems, an embodiment of the present application provides a method for detecting the insulation performance of insulators based on ultraviolet imaging. In one embodiment, as Figure 1 shown, the method includes the following steps:

[0031] In one embodiment, as Figure 1 shown, a method for detecting the insulation performance of insulators based on ultraviolet imaging is provided, including the following steps:

[0032] 101. Obtain the ultraviolet image of the target insulator during discharge through an ultraviolet imaging device.

[0033] Among them, the ultraviolet imaging device can be a solar-blind ultraviolet imager. The solar-blind ultraviolet imager is used to detect ultraviolet light in a specific wavelength band (240nm - 280nm), which can avoid the interference of sunlight and improve the imaging quality. The ultraviolet imaging device is used to image the target insulator in the power equipment to obtain the ultraviolet image of the target insulator during discharge. The target insulator can be photographed multiple times through the ultraviolet imaging device within a preset time to obtain multiple ultraviolet images, and then the ultraviolet image of the target insulator during discharge can be obtained through image recognition. It is also possible to set the ultraviolet imaging device to take a picture when the discharge of the target insulator is detected (for example, set the shooting trigger condition based on the ultraviolet light intensity), so as to obtain the ultraviolet image of the target insulator during discharge. For example, on a high-voltage transmission line, the ultraviolet imaging device installed on the tower firmware can take pictures of the insulators in real time. When the insulator discharges, the ultraviolet imaging device can accurately capture the ultraviolet light information at this moment and generate the corresponding ultraviolet image.

[0034] In this embodiment, the non-contact detection of the discharge condition of the insulator can be realized through the above method, without interfering with the normal operation of the power system. At the same time, the obtained ultraviolet image provides an original data basis for further analyzing the discharge characteristics of the insulator. Relevant personnel can intuitively see the position and shape of the discharge, providing a strong basis for further judging the operating condition of the insulator.

[0035] 102. Perform image processing on the ultraviolet image to extract the light spot area of the discharge of the target insulator.

[0036] In this embodiment, the original ultraviolet image captured by the ultraviolet imaging device may contain interference information such as background noise and reflections from other irrelevant devices. Therefore, image processing is performed on the ultraviolet image, such as binary segmentation and morphological filtering. If the acquired ultraviolet image is a color image, gray-scale transformation can be performed before binary segmentation to convert the color image into a gray-scale image. Through such processing, useless information can be effectively removed, and the discharge spot area can be highlighted. This provides pure data for accurately quantifying the discharge condition of the target insulator later, avoids the influence of interference factors on the analysis results, greatly improves the accuracy and reliability of the analysis, and lays a good foundation for further evaluating the discharge degree and insulation performance of the insulator.

[0037] 103. Calculate the spot area parameter of the spot area, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the spot area parameter and the relative discharge intensity.

[0038] In this embodiment, the spot area parameter can be calculated from the ratio of the area of the spot area in the ultraviolet image to the area of the target insulator. Then, obtain the pre-calculated corresponding relationship between the spot area parameter and the relative discharge intensity, so as to calculate the relative discharge intensity of the target insulator according to the spot area parameter. By means of the above solution, the discharge intensity of the target insulator can be quantified through the spot area parameter, and then the insulation performance of the target insulator can be quantified according to the discharge intensity. Using the spot area parameter as a quantification index can make the evaluation of the discharge of the target insulator more objective and accurate, and can more accurately reflect the actual operating state of the target insulator, providing strong data support for subsequent judgment of the insulation performance.

[0039] 104. Obtain the insulation performance level of the target insulator according to the relative discharge intensity.

[0040] In this embodiment, the relative discharge intensity can be classified according to the numerical interval of the relative discharge intensity, and then the insulation performance level can be determined according to the level of the relative discharge intensity. For example, when it is calculated that the relative discharge intensity of the target insulator is in a certain interval, the insulation performance can be judged to be good, general or poor, etc. according to the preset standard. In this way, the insulation performance status of the insulator can be quickly understood, helping the operation and maintenance personnel to quickly identify the insulators with potential safety hazards, reasonably arrange resources for maintenance and repair, and effectively ensure the stable and reliable operation of the power system.

[0041] The insulator insulation performance detection method based on ultraviolet imaging provided in this embodiment can obtain the ultraviolet image during the discharge of the target insulator through an ultraviolet imaging device, which can visually present the discharge situation without disturbing the normal operation of the insulator and provide a data basis for subsequent analysis. Then, image processing is performed on the ultraviolet image to extract the discharge spot area, which can remove the interference factors in the complex environment and highlight the key information of the discharge spot, laying a foundation for quantitative analysis. Taking the spot area parameter as a quantitative index, first calculate the relative discharge intensity through the spot area parameter, and then evaluate the insulation performance according to the relative discharge intensity, making the evaluation result more objective and accurate, helping relevant personnel to discover potential hazards in a timely manner, reasonably arrange maintenance, and ensure the stable operation of the power system.

[0042] Further, to fully illustrate the implementation process of this embodiment, the following details and expansions are made to the specific implementation manner of the above embodiment. Specifically, in one embodiment, in step 102, when performing image processing on the ultraviolet image to extract the spot area of the discharge of the target insulator, it can be specifically implemented in the following manner: obtain the grayscale image corresponding to the ultraviolet image, and convert the grayscale image into a binary image; perform morphological filtering on the binary image to obtain the spot area of the discharge of the target insulator.

[0043] In the above embodiment, if the ultraviolet image is a color image, perform grayscale transformation on the ultraviolet image to obtain a grayscale image, thereby reducing the computational complexity of subsequent image processing. Each pixel point in a color image is composed of three components: R, G, and B. According to the YUV color space, the Y component represents brightness, and the grayscale transformation can be achieved using the Y component. The correspondence between YUV and RGB is as follows:

[0044]

[0045] According to the above formula, it can be calculated that Y = 0.299R + 0.587G + 0.114B. Therefore, the Y value can be obtained according to the values of R, G, and B, and thus the grayscale image of the ultraviolet image can be represented.

[0046] After obtaining the grayscale image, threshold segmentation is performed based on the grayscale image to obtain a binary image. If the ultraviolet image captured by the ultraviolet imaging device is a grayscale image, the ultraviolet image is directly subjected to threshold segmentation to obtain a binary image. A binary image means that each pixel in the image has only two color values, namely 0 and 1, where 0 represents black and 1 represents white. In this embodiment, the purpose of threshold segmentation is to segment the spot area formed by the discharge of the target insulator. In the grayscale image, the spot area appears white, and the corresponding grayscale value is 1 (the range of each pixel value in the grayscale image is [0, 1], where 1 represents pure white and 0 represents pure black), while the grayscale value of the background area is usually less than 1. Therefore, the threshold segmentation method can be used to convert the grayscale image into a binary image. The segmentation method is as follows:

[0047]

[0048] Among them, f(x, y) is the grayscale value of each pixel point in the grayscale image, x and y represent the position of the pixel point in the image matrix, B(x, y) is the value of the segmented pixel point in the binary image, and T0 is the segmentation threshold. The segmentation threshold can be set according to the actual situation. For example, it can be taken within the range of 0.8 - 0.9.

[0049] After obtaining the binary image, the discharge spot area can be effectively segmented from the ultraviolet image. However, there may be some noise points in the binary image. Therefore, in order to further improve the accuracy of spot area extraction, the binary image can be filtered. Usually, the size of the noise points is much smaller than the size of the spot area. Based on this, in this embodiment, the mathematical morphology method is used to filter the binary image. Mathematical morphology is a mathematical tool based on structural elements. The morphological transformation of a binary image includes erosion and dilation. Let A be the original binary image and B be the structural element (specifically, a custom two-dimensional matrix containing "0" and "1"). A eroded by B is denoted as AΘB, and the definition of the erosion operation is:

[0050]

[0051] Among them, m represents the translation amount of the structural element B. Its meaning is to obtain (B) after translating B by m m , if (B) m is included in A, then record this m point. The set composed of all m points that meet the above conditions is denoted as E(A). It can be seen from the above definition that eroding the image will cause the image to shrink.

[0052] Dilation is the dual operation of erosion. A dilated by B is denoted as and is defined as:

[0053]

[0054] Among them, n represents the translation amount of the structural element B during translation. The dilation process is to obtain (B) after translating B by n. n , if the intersection of (B) n and A is non-empty, then record this n point. The set composed of n points that meet the above conditions is denoted as D(A). According to the above definition, dilation will cause the original image to expand.

[0055] Simply performing erosion or dilation operations on the image will cause a large change in the area of the image to be extracted. In this embodiment, erosion and dilation are used in combination to form opening and closing operations. The definitions of opening and closing operations on the image are as follows:

[0056]

[0057] Among them, and · represent the opening operation and the closing operation respectively. Performing the opening operation on A by B means that the result of eroding A by B is then dilated by B. Performing the closing operation on A by B means that the result of dilating A by B is then eroded by B. The opening operation can eliminate the small scattered points in the image without affecting the area to be extracted and make the outer boundary of the image smooth. The closing operation can eliminate some holes inside the image area and at the same time play a role in smoothing the image boundary.

[0058] In the above embodiment, by performing threshold segmentation and filtering processing on the ultraviolet image, the light spot area of the target insulator discharge can be highlighted and the image noise can be eliminated, so that the extracted light spot area is more accurate, laying a foundation for subsequent accurate analysis.

[0059] In one embodiment, in step 103, calculate the light spot area parameter of the light spot area, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the light spot area parameter and the relative discharge intensity. Specifically, it can be achieved in the following way: identify the area corresponding to the target insulator in the ultraviolet image, and calculate the area of the target insulator; calculate the number of pixel points in the light spot area to obtain the light spot area; calculate the ratio of the light spot area to the area of the target insulator to obtain the light spot area parameter; obtain the corresponding relationship between the light spot area parameter and the relative discharge intensity, and calculate the relative discharge intensity of the target insulator.

[0060] In the above embodiments, for a certain insulator, generally, the larger the discharge area, the stronger the discharge. However, in practical applications, the sizes of insulators are not the same, and the shooting distances of the ultraviolet imaging device from the target insulator are also different. If only the area of the light spot region is used to quantify the discharge intensity, it is not accurate enough. Based on this, this embodiment also identifies the region corresponding to the target insulator in the ultraviolet image. For example, the region corresponding to the target insulator can be a rectangular region bounded by the contour of the target insulator, so as to estimate the area of the target insulator. And count the pixel points in the light spot region to obtain the area of the light spot region. According to the ratio of the area of the light spot region to the area of the target insulator, a light spot area parameter is constructed, and the discharge intensity of the target insulator is quantified through the light spot area parameter. The larger the light spot area parameter, the larger the proportion of the light spot region occupying the insulator body, indicating that the discharge is stronger and the insulation performance of the insulator is lower. Therefore, the light spot area parameter constructed in this way can effectively characterize the insulation state of the insulator and is not affected by the observation distance.

[0061] After calculating the light spot area parameter, the relative discharge intensity of the target insulator can be calculated according to the corresponding relationship between the light spot area parameter and the relative discharge intensity. Among them, the method for determining the corresponding relationship between the light spot area parameter and the relative discharge intensity can be achieved through the following steps: Apply a voltage to the sample insulator and gradually increase the voltage to the flashover of the sample insulator in accordance with a preset step size; During the process of applying the voltage to the sample insulator, continuously take pictures of the sample insulator through the ultraviolet imaging device to obtain multiple sample images; Extract the light spot region of each sample image and calculate the area of the light spot region; Based on the area of the light spot region corresponding to each sample image and the applied voltage, calculate the corresponding relationship between the light spot area parameter and the relative discharge intensity.

[0062] Among them, the calculation of the corresponding relationship between the light spot area parameter and the relative discharge intensity based on the area of the light spot region corresponding to each sample image and the applied voltage can be specifically achieved through the following steps: Identify the region corresponding to the sample insulator in the sample image and calculate the area of the sample insulator; According to the ratio of the area of the light spot region to the area of the sample insulator, calculate the light spot area parameter corresponding to each sample image; According to the ratio of the applied voltage corresponding to the sample image to the flashover voltage, calculate the relative voltage corresponding to each sample image, where the relative voltage is used to characterize the relative discharge intensity; Based on the corresponding relationship between the light spot area parameter and the relative voltage of each sample image, calculate the corresponding relationship between the light spot area parameter and the relative discharge intensity.

[0063] In the above embodiments, the corresponding relationship between the spot area parameter and the relative discharge intensity can be determined by testing the sample insulator. Among them, the sample insulator can be an insulator after being contaminated, so as to simulate the state of the target insulator after being put into use. Specifically, a voltage can be applied to the sample insulator, and the voltage can be gradually increased step by step according to a preset step size until the sample insulator flashes over, and the voltage applied each time is recorded. When the insulator flashes over, it proves that the insulation performance is already relatively poor. Therefore, by analyzing the discharge phenomenon during the process of applying voltage to the sample insulator, the corresponding relationship between the spot area parameter and the relative discharge intensity can be constructed. Specifically, multiple ultraviolet sample images can be taken during the process of applying voltage to the sample insulator, and the spot area and the sample insulator area can be extracted from each sample image, so as to calculate the ratio of the spot area to the sample insulator area, and further calculate the spot area parameter of each sample image.

[0064] At the same time, obtain the applied voltage corresponding to each sample image, calculate the ratio of the applied voltage to the flashover voltage when the sample insulator flashes over, and obtain the relative voltage of each sample image. The value range of the relative voltage is between 0 and 1, and the relative discharge intensity of the insulator can be characterized by the relative voltage. Further, based on the spot area parameter and the relative voltage of each sample image, the relationship between the spot area parameter and the relative discharge intensity is constructed. Among them, the relationship between the spot area and the applied voltage in the sample image is as follows:

[0065] S = Ze bU ;

[0066] Among them, S is the spot area, U is the applied voltage, and Z and b are coefficients.

[0067] The formula for the spot area parameter is as follows:

[0068]

[0069] Among them, R is the spot area parameter, S is the spot area, and S il is the insulator area;

[0070] The formula for the relative voltage is as follows:

[0071]

[0072] Among them, F is the relative voltage, U is the applied voltage, and U f is the flashover voltage.

[0073] In the above embodiments, the relative voltage is used to characterize the relative discharge intensity. Therefore, based on the above formulas, the corresponding relationship between the spot area parameter and the relative discharge intensity can be calculated. Furthermore, the discharge intensity of the target insulator can be quantified.

[0074] In one embodiment, in step 104, obtaining the insulation performance level of the target insulator according to the relative discharge intensity can be specifically implemented in the following manner: grading the relative discharge intensity, and obtaining the insulation performance level corresponding to the target insulator based on the grade of the relative discharge intensity; when the insulation performance level of the target insulator reaches a preset threshold, an alarm message is output.

[0075] In the above embodiment, the relative discharge intensity of the target insulator is calculated through the spot area parameter. The higher the discharge intensity of the insulator, the poorer the insulation performance. Therefore, by grading the relative discharge intensity, the insulation performance level of the target insulator can be obtained. When it is detected that the insulation performance level of the target insulator reaches a preset threshold, an alarm message can be sent to remind relevant personnel to perform inspections and maintenance. For the operation and maintenance personnel of the power system, this kind of grading can help them arrange inspections and maintenance work more targeted, reasonably allocate resources, give priority to dealing with insulators with lower insulation performance levels, and avoid accidents such as current leakage and short circuits caused by the decline of the insulator insulation performance, thereby ensuring the safe and stable operation of the power system.

[0076] In one embodiment, in step 104, obtaining the insulation performance level of the target insulator according to the relative discharge intensity may further include: taking multiple ultraviolet images of the target insulator within a preset time, and simultaneously obtaining the environmental parameters corresponding to each ultraviolet image, where the environmental parameters include temperature, humidity, wind force, air quality, weather conditions; calculating the insulation performance level corresponding to each ultraviolet image, and outputting the insulation performance level corresponding to each ultraviolet image and the environmental parameters; or, screening the ultraviolet images whose environmental parameters meet the preset conditions as target ultraviolet images, calculating the insulation performance level corresponding to the target ultraviolet images, and obtaining the insulation performance level of the target insulator.

[0077] In the above embodiment, by monitoring the environmental information, the ultraviolet images taken when the environment is suitable can be screened for insulation performance evaluation, so as to avoid the influence of weather such as fog, rain, snow, and sand and dust on the detection results, and improve the quality of the ultraviolet images and the accuracy of the detection results. It is also possible to statistically analyze the multiple detection results corresponding to multiple ultraviolet images taken within a preset time period, and display the ultraviolet images and environmental parameters in the detection results, providing more effective information for relevant personnel to make further judgments.

[0078] Further, as Figure 1 and a specific implementation of the method shown in the above embodiment, this embodiment provides an insulator insulation performance detection device based on ultraviolet imaging, as Figure 2As shown, the device includes: an image acquisition module 31, a light spot extraction module 32, a data processing module 33, and a result output module 34.

[0079] The image acquisition module 31 can be used to acquire an ultraviolet image of the target insulator during discharge through an ultraviolet imaging device;

[0080] The light spot extraction module 32 can be used to perform image processing on the ultraviolet image to extract the light spot area of the discharge of the target insulator;

[0081] The data processing module 33 can be used to calculate the light spot area parameter of the light spot area, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the light spot area parameter and the relative discharge intensity;

[0082] The result output module 34 can be used to obtain the insulation performance level of the target insulator according to the relative discharge intensity.

[0083] In a specific application scenario, the light spot extraction module 32 can be specifically used to perform image processing on the ultraviolet image to extract the light spot area of the discharge of the target insulator, including: obtaining the grayscale image corresponding to the ultraviolet image, and converting the grayscale image into a binary image; performing morphological filtering processing on the binary image to obtain the light spot area of the discharge of the target insulator.

[0084] In a specific application scenario, the data processing module 33 can be specifically used to calculate the light spot area parameter of the light spot area, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the light spot area parameter and the relative discharge intensity, including: identifying the area corresponding to the target insulator in the ultraviolet image, and calculating the area of the target insulator; calculating the number of pixel points in the light spot area to obtain the light spot area; calculating the ratio of the light spot area to the area of the target insulator to obtain the light spot area parameter; obtaining the corresponding relationship between the light spot area parameter and the relative discharge intensity, and calculating the relative discharge intensity of the target insulator.

[0085] In a specific application scenario, the data processing module 33 can specifically be used to obtain the correspondence between the spot area parameter and the relative discharge intensity, and calculate the relative discharge intensity of the target insulator, including: applying a voltage to a sample insulator and gradually increasing the voltage step by step to the flashover of the sample insulator; continuously photographing the sample insulator through an ultraviolet imaging device during the voltage application process of the sample insulator to obtain multiple sample images; extracting the spot area of each sample image and calculating the area of the spot area; calculating the correspondence between the spot area parameter and the relative discharge intensity based on the spot area of each sample image and the applied voltage.

[0086] In a specific application scenario, the data processing module 33 can specifically be used to calculate the correspondence between the spot area parameter and the relative discharge intensity based on the spot area of each sample image and the applied voltage, including: identifying the area corresponding to the sample insulator in the sample image and calculating the area of the sample insulator; calculating the spot area parameter corresponding to each sample image according to the ratio of the spot area to the area of the sample insulator; calculating the relative voltage corresponding to each sample image according to the ratio of the applied voltage corresponding to the sample image to the flashover voltage, where the relative voltage is used to characterize the relative discharge intensity; calculating the correspondence between the spot area parameter and the relative discharge intensity based on the correspondence between the spot area parameter and the relative voltage of each sample image.

[0087] In a specific application scenario, the result output module 34 can specifically be used to obtain the insulation performance level of the target insulator according to the relative discharge intensity, including: classifying the relative discharge intensity and obtaining the insulation performance level corresponding to the target insulator based on the level of the relative discharge intensity; outputting an alarm message when the insulation performance level of the target insulator reaches a preset threshold.

[0088] In a specific application scenario, the result output module 34 can specifically be used to obtain the insulation performance level of the target insulator according to the relative discharge intensity, and further includes: taking multiple ultraviolet images of the target insulator within a preset time, and simultaneously obtaining the environmental parameters corresponding to each ultraviolet image, where the environmental parameters include temperature, humidity, wind force, air quality, weather conditions; calculating the insulation performance level corresponding to each ultraviolet image and outputting the insulation performance level corresponding to each ultraviolet image and the environmental parameters; or, screening the ultraviolet images whose environmental parameters meet the preset conditions as target ultraviolet images, calculating the insulation performance level corresponding to the target ultraviolet images, and obtaining the insulation performance level of the target insulator.

[0089] It should be noted that for other corresponding descriptions of each functional unit involved in the insulator insulation performance detection device based on ultraviolet imaging provided in this embodiment, reference can be made to Figure 1 the corresponding descriptions in the above embodiments, which will not be elaborated here.

[0090] An embodiment of the present application also provides a computer device. As Figure 3 shown, the computer device can specifically be a personal computer, a server, a network device, etc. The computer device includes a system bus, a processor, a memory, and a communication interface, and may also include an input / output interface and a display device. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store location information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements the steps in each method embodiment.

[0091] Those skilled in the art can understand that the structure of the above computer device is only a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components, or combine some components, or have different component arrangements.

[0092] In one embodiment, a computer-readable storage medium is provided. The computer-readable storage medium can be non-volatile or volatile, and stores a computer program. When the computer program is executed by the processor, it implements the steps in each method embodiment.

[0093] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, it implements the steps in each method embodiment.

[0094] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0095] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0096] The above-described embodiments only represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of this application should be subject to the appended claims.

Claims

1. A method for detecting the insulation performance of insulators based on ultraviolet imaging, characterized in that, The method includes: Obtaining an ultraviolet image during the discharge of the target insulator through an ultraviolet imaging device; Performing image processing on the ultraviolet image to extract the spot area of the discharge of the target insulator; Calculating the spot area parameter of the spot area, and calculating the relative discharge intensity of the target insulator according to the corresponding relationship between the spot area parameter and the relative discharge intensity; Obtaining the insulation performance level of the target insulator according to the relative discharge intensity.

2. The method according to claim 1, wherein The performing image processing on the ultraviolet image to extract the spot area of the discharge of the target insulator includes: Obtaining the grayscale image corresponding to the ultraviolet image and converting the grayscale image into a binary image; Performing morphological filtering on the binary image to obtain the spot area of the discharge of the target insulator.

3. The method according to claim 1, wherein The calculating the spot area parameter of the spot area, and calculating the relative discharge intensity of the target insulator according to the corresponding relationship between the spot area parameter and the relative discharge intensity includes: Identifying the area corresponding to the target insulator in the ultraviolet image and calculating the area of the target insulator; Calculating the number of pixel points in the spot area to obtain the spot area; Calculating the ratio of the spot area to the area of the target insulator to obtain the spot area parameter; Obtaining the corresponding relationship between the spot area parameter and the relative discharge intensity and calculating the relative discharge intensity of the target insulator.

4. The method according to claim 3, wherein The obtaining the corresponding relationship between the spot area parameter and the relative discharge intensity and calculating the relative discharge intensity of the target insulator includes: Applying a voltage to the sample insulator and gradually increasing the voltage step by step according to a preset step until the sample insulator flashes over; During the process of applying the voltage to the sample insulator, continuously photographing the sample insulator through an ultraviolet imaging device to obtain multiple sample images; Extracting the spot area of each sample image and calculating the spot area; Calculating the corresponding relationship between the spot area parameter and the relative discharge intensity based on the spot area corresponding to each sample image and the applied voltage.

5. The method according to claim 4, wherein The calculating the corresponding relationship between the spot area parameter and the relative discharge intensity based on the spot area corresponding to each sample image and the applied voltage includes: Identifying the area corresponding to the sample insulator in the sample image and calculating the area of the sample insulator; Calculating the spot area parameter corresponding to each sample image according to the ratio of the spot area to the area of the sample insulator; Calculating the relative voltage corresponding to each sample image according to the ratio of the applied voltage to the flashover voltage of the sample image, where the relative voltage is used to characterize the relative discharge intensity; Calculating the corresponding relationship between the spot area parameter and the relative discharge intensity based on the corresponding relationship between the spot area parameter and the relative voltage of each sample image.

6. The method according to claim 1, characterized in that, The obtaining the insulation performance level of the target insulator according to the relative discharge intensity includes: Classify the relative discharge intensity levels, and based on the levels of the relative discharge intensity, obtain the insulation performance levels corresponding to the target insulators; When the insulation performance level of the target insulator reaches a preset threshold, output an alarm message.

7. The method according to claim 6, characterized in that The obtaining of the insulation performance levels corresponding to the target insulators based on the relative discharge intensity further includes: Take multiple ultraviolet images of the target insulator within a preset time, and simultaneously obtain the environmental parameters corresponding to each ultraviolet image, where the environmental parameters include temperature, humidity, wind force, air quality, weather conditions; Calculate the insulation performance level corresponding to each ultraviolet image, and output the insulation performance level corresponding to each ultraviolet image and the environmental parameters; Alternatively, screen the ultraviolet images whose environmental parameters meet the preset conditions as target ultraviolet images, calculate the insulation performance levels corresponding to the target ultraviolet images, and obtain the insulation performance levels corresponding to the target insulators.

8. An insulator insulation performance detection device based on ultraviolet imaging, characterized in that, The device includes: An image acquisition module, configured to acquire ultraviolet images of a target insulator during discharge through an ultraviolet imaging device; A spot extraction module, configured to perform image processing on the ultraviolet images to extract the spot regions of the target insulator during discharge; A data processing module, configured to calculate the spot area parameters of the spot regions, and calculate the relative discharge intensity of the target insulator according to the corresponding relationship between the spot area parameters and the relative discharge intensity; A result output module, configured to obtain the insulation performance levels corresponding to the target insulators based on the relative discharge intensity.

9. A storage medium, on which a computer program is stored, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

Images