CN118425709B - Partial discharge detection method and device - Google Patents
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Abstract
The application relates to a partial discharge detection method and a partial discharge detection device. The method is applied to a solar blind ultraviolet detection device in a partial discharge detection system, and comprises the following steps: acquiring a solar blind ultraviolet image set of a detected area in a target time interval, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; and obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system, wherein the target detection data is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data by the upper computer. The method can improve the accuracy of partial discharge detection.
Description
Technical Field
The present application relates to the field of power detection technology, and in particular, to a partial discharge detection method and apparatus.
Background
Under the action of a strong electric field, partial discharge may occur in the insulation device in the power system, thereby generating corona discharge phenomenon on the surface of the insulation device. Partial discharge may cause dielectric breakdown of insulation equipment, severely affecting the safety of the power system. Therefore, partial discharge detection of the insulating device is required.
The traditional partial discharge detection method is to acquire an ultraviolet signal generated by the insulation equipment during partial discharge by using a solar blind ultraviolet imaging technology, and determine whether the detected insulation equipment is subjected to partial discharge or not according to the ultraviolet signal.
However, the conventional partial discharge detection method has low detection accuracy.
Disclosure of Invention
In view of the above, it is desirable to provide a partial discharge detection method and apparatus capable of improving detection accuracy.
In a first aspect, the present application provides a partial discharge detection method, applied to a solar blind ultraviolet detection device in a partial discharge detection system, the method comprising:
acquiring a solar blind ultraviolet image set of a detected area in a target time interval, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image;
Performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image;
And obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system, wherein the target detection data is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data by the upper computer.
In one embodiment, the method provided further comprises: acquiring an initial ultraviolet image and a correction coefficient matrix, wherein the correction coefficient matrix comprises correction coefficients corresponding to all pixel points in a detected area;
correcting the initial gray value of each pixel point in the initial ultraviolet image by using the corresponding correction coefficient in the correction coefficient matrix to obtain a corrected gray value;
and obtaining a solar blind ultraviolet image according to the corrected gray value corresponding to each pixel point.
In one embodiment, a method is provided for performing superposition filtering processing on a plurality of solar blind ultraviolet images to obtain a filtered image, including:
Two solar blind ultraviolet images are taken out from the solar blind ultraviolet image set, and comparison processing is carried out according to the following process: comparing the gray value of each pixel point in the first solar blind ultraviolet image with the gray value of each pixel point in the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value; if the gray level difference value is smaller than or equal to a preset difference value threshold, the gray level value of the pixel point in the first solar blind ultraviolet image is kept unchanged, and if the gray level difference value is larger than the difference value threshold, the gray level value of the pixel point in the second solar blind ultraviolet image is set to be a preset value, so that a comparison image is obtained; the first solar blind ultraviolet image is one of two solar blind ultraviolet images, and the second solar blind ultraviolet image is the other of the two solar blind ultraviolet images;
deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set;
Judging whether the solar blind ultraviolet image set is an empty set or not;
If the solar blind ultraviolet image set is not the empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, and continuously executing the process of taking out two solar blind ultraviolet images from the solar blind ultraviolet image set to judge whether the solar blind ultraviolet image set is the empty set or not until the solar blind ultraviolet image set is the empty set, and taking the comparison image corresponding to the solar blind ultraviolet image set as the filter image.
In one embodiment, a process for obtaining target detection data according to a filtered image in the method is provided, including:
performing boundary division processing on the filtered image according to a preset sensing threshold value to obtain an initial sensing region;
And calibrating the minimum circumscribing circle of the initial sensing area to obtain initial circle center coordinates and initial radius of the minimum circumscribing circle, and taking the initial circle center coordinates and the initial radius as target detection data.
In a second aspect, the present application further provides a partial discharge detection method, applied to an upper computer in a partial discharge detection system, where the method includes:
acquiring target detection data sent by a solar blind ultraviolet detection device and a visible image sent by the visible detection device in a partial discharge detection system, wherein the target detection data are a solar blind ultraviolet image set of a detected area in a target time interval, the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; obtained from the filtered image;
And determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data and the visible image.
In one embodiment, the object detection data in the provided method includes an initial center coordinate and an initial radius;
The method further comprises the steps of:
obtaining a mapping relation between camera coordinates corresponding to the visual image and camera coordinates corresponding to the solar blind ultraviolet images;
according to the target detection data and the visual image, the provided method determines whether partial discharge occurs to the power equipment in the detected area or not, and comprises the following steps:
generating a target center coordinate and a target radius corresponding to the target detection data according to the mapping relation, the initial center coordinate and the initial radius;
And determining whether partial discharge occurs to the power equipment in the detected area according to the target circle center coordinates, the target radius and the visible image.
In one embodiment, the method provided further comprises:
Performing target identification processing on the visible image to obtain visible coordinates corresponding to target equipment in the detected area;
in the provided method, according to the center coordinates of the target, the radius of the target and the visible image, determining whether partial discharge occurs to the power equipment in the detected area comprises the following steps:
matching the visual coordinates with the center coordinates of the target to obtain matching results, wherein the matching results comprise matching success and matching failure;
and if the matching result is successful, the matching result is used for determining that the target equipment in the detected area generates partial discharge based on the matching result.
In one embodiment, the method provided further comprises:
Determining a target induction area according to the target circle center coordinates and the target radius;
And adding the target induction area to a position corresponding to the center coordinates of the target in the visual image to obtain a fusion result, wherein the fusion result is used for displaying by a host computer.
In a third aspect, the present application further provides a partial discharge detection device, which is applied to a solar blind ultraviolet detection device in a partial discharge detection system, and the device includes:
the data acquisition module is used for acquiring a solar blind ultraviolet image set of the detected area in a target time interval, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting the initial ultraviolet images;
The superposition filtering module is used for performing superposition filtering processing on the plurality of solar blind ultraviolet images to obtain a filtered image;
the data transmission module is used for obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system, wherein the target detection data is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data by the upper computer.
In a fourth aspect, the present application further provides a partial discharge detection device, applied to an upper computer in a partial discharge detection system, where the device includes:
The data acquisition module is used for acquiring target detection data sent by a solar blind ultraviolet detection device and a visual image sent by the visual detection device in the partial discharge detection system, wherein the target detection data is a solar blind ultraviolet image set of a detected area in a target time interval, the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; obtained from the filtered image;
and the partial discharge detection module is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data and the visible image.
In a fifth aspect, the application also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the method as in the first aspect when the processor executes the computer program.
In one aspect, the partial discharge detection method is applied to a solar blind ultraviolet detection device in a partial discharge detection system, and a solar blind ultraviolet image set of a detected area in a target time interval is obtained, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; and obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system, wherein the target detection data is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data by the upper computer. According to the application, the solar blind ultraviolet image is obtained by carrying out uniform correction treatment on the initial ultraviolet image, and the ultraviolet image accurately corresponding to the actual illumination intensity can be obtained; the method has the advantages that the superposition filtering processing is carried out on a plurality of solar blind ultraviolet images in the solar blind ultraviolet image set to obtain a filtering image, flash point signals formed by an enhancement tube in the solar blind ultraviolet detection device in the process of fluorescence excitation and gain of the obtained ultraviolet signals can be effectively filtered, scattered light clusters generated by corona discharge through air propagation can be filtered, and the influence of the signals on whether partial discharge occurs to power equipment in a detected area or not determined by an upper computer is avoided, so that the accuracy of the partial discharge detection method is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a diagram of an application environment of a partial discharge detection method in one embodiment;
FIG. 2 is a flow chart of a partial discharge detection method applied to a solar blind ultraviolet detection device according to an embodiment;
FIG. 3 is a flow chart illustrating steps for obtaining a filtered image in one embodiment;
FIG. 4 is a flowchart illustrating steps for obtaining target detection data according to one embodiment;
FIG. 5 is a schematic representation of a solar blind UV image in one embodiment;
FIG. 6 is a schematic diagram of calibrating a minimum circumscribed circle on a filtered image in one embodiment;
FIG. 7 is a flow chart of a partial discharge detection method applied to a solar blind ultraviolet detection device according to another embodiment;
FIG. 8 is a flow chart of a partial discharge detection method applied to a host computer in one embodiment;
FIG. 9 is a flow chart illustrating steps for determining whether partial discharge has occurred in one embodiment;
FIG. 10 is a flow chart illustrating steps for determining whether partial discharge has occurred in one embodiment;
FIG. 11 is a flowchart illustrating steps for obtaining a fusion result in one embodiment;
FIG. 12 is a flowchart of a partial discharge detection method applied to a host computer in another embodiment;
FIG. 13 is a schematic diagram of fusion results in one embodiment;
FIG. 14 is a block diagram of a partial discharge detection device applied to a solar blind ultraviolet detection device in one embodiment;
FIG. 15 is a block diagram showing a partial discharge detecting device applied to a host computer according to an embodiment;
fig. 16 is an internal structural view of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The partial discharge detection method provided by the embodiment of the application can be applied to the application environment of the partial discharge detection system shown in fig. 1. The solar blind ultraviolet detection device 102 communicates with the upper computer 104 through a network. The solar blind ultraviolet detection device 102 is configured to obtain a solar blind ultraviolet image set of a detected area in a target time interval, where the solar blind ultraviolet image set includes a plurality of solar blind ultraviolet images; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; according to the filtered image, target detection data is obtained and is sent to the upper computer 104 in the partial discharge detection system, and the target detection data is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data by the upper computer 104.
The solar blind ultraviolet detection device 102 can be, but is not limited to, various solar blind cameras and solar blind detectors; the upper computer 104 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, which may be smart watches, smart bracelets, headsets, etc.
In an exemplary embodiment, as shown in fig. 2, a partial discharge detection method is provided, and the method is applied to the solar blind ultraviolet detection device 102 in fig. 1, and is described as an example, and includes the following steps 202 to 206. Wherein:
Step 202, acquiring a solar blind ultraviolet image set of a detected area in a target time interval, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images.
The detected area refers to an area containing power equipment in the power grid, wherein partial discharge can occur. By way of example, electrical equipment in which partial discharge may occur includes high voltage switches, critical connectors, bare wires, and high voltage insulators.
The solar blind ultraviolet image is obtained by uniformly correcting the initial ultraviolet image. The initial ultraviolet image is an ultraviolet image continuously captured by the solar blind ultraviolet detection device 102 in a target time interval, and the time sequence exists. The initial ultraviolet image is acquired by a solar blind ultraviolet imaging technology, the solar blind ultraviolet imaging technology can detect corona discharge in the daytime, is not interfered by sunlight, can detect in a charged mode, and can intuitively observe the position of a discharge point of high-voltage equipment. Therefore, the corona discharge detection technology based on solar blind ultraviolet imaging detection is the most reliable corona discharge detection mode at present.
By way of example, the detection frame rate of the solar blind ultraviolet detection device 102 may be 25fps, i.e., 25 consecutive initial ultraviolet images are taken within 1 second, each initial ultraviolet image lasting 40ms. Also exemplary, the duration of the initial ultraviolet image is greater than or equal to 50ms.
In this step, considering that there may be a difference in the response values of the ultraviolet input light of the solar blind ultraviolet detection device 102 to different positions in the detected area, so as to cause a partial discharge detection error, each initial ultraviolet image acquired by the solar blind ultraviolet detection device 102 is uniformly corrected, so as to obtain a solar blind ultraviolet image.
Optionally, the process of the uniform correction treatment includes: acquiring an initial ultraviolet image and a correction coefficient matrix, wherein the correction coefficient matrix comprises correction coefficients corresponding to all pixel points in a detected area; correcting the initial gray value of each pixel point in the initial ultraviolet image by using the corresponding correction coefficient in the correction coefficient matrix to obtain a corrected gray value; and obtaining a solar blind ultraviolet image according to the corrected gray value corresponding to each pixel point.
The correction coefficient matrix irradiates a detected area with uniform ultraviolet light, acquires a reference image based on a CCD (Charge-Coupled Device) or CMOS (Complementary Metal-Oxide-Semiconductor) sensor, analyzes the gray value of each pixel point of the reference image, calculates the correction coefficient of each pixel point, and obtains a correction coefficient matrix, wherein the correction coefficient matrix can be pre-stored in the solar blind ultraviolet detection Device.
For example, the target time interval may be set to 80ms from the duration of one solar blind ultraviolet image, and then the solar blind ultraviolet image set includes two solar blind ultraviolet images within the target time interval. Also for example, the target time interval may be set to 120ms from the duration of one solar blind ultraviolet image, and then the solar blind ultraviolet image set includes three solar blind ultraviolet images within the target time interval.
And 204, performing superposition filtering processing on the plurality of solar blind ultraviolet images to obtain a filtered image.
The superposition filtering processing refers to that a plurality of solar blind ultraviolet images in a solar blind ultraviolet image set are superimposed, pixel points with stable gray values in each solar blind ultraviolet image in a target time interval are reserved, and filtering processing is carried out on other pixel points to obtain a filtering image. The gray value of the pixel point can be used for representing the ultraviolet intensity of the pixel point at the corresponding position of the detected area, so that an operation and maintenance person can determine the partial discharge degree according to the ultraviolet intensity.
The filtering process refers to resetting the gray value of the pixel point.
Illustratively, a filtered image may be obtained by performing intersection processing on all solar blind ultraviolet images in the solar blind ultraviolet image set.
Also for example, intersection processing may be performed on any two solar blind ultraviolet images in the solar blind ultraviolet image set, the obtained plurality of intersection images are used as a second solar blind ultraviolet image set, the second solar blind ultraviolet image set is used as a solar blind ultraviolet image set, and the process of obtaining the second solar blind ultraviolet image set is re-performed until only one intersection image in the second solar blind ultraviolet image set is used as a filtering image. If the number of solar blind ultraviolet images in the solar blind ultraviolet image set is an odd number, selecting one solar blind ultraviolet image to directly add into a second solar blind ultraviolet image set without participating in the first round of intersection processing.
Illustratively, the rules for the intersection process may be: for each pixel position, if the gray value of the pixel point at the position in all solar blind ultraviolet images is 255, the gray value of the pixel point at the position in the filtered image is 255; if the gray value of the pixel point at the position in all the solar blind ultraviolet images is 0, the gray value of the pixel point at the position in the filtered image is also 0; if the gray values of the pixels of the solar blind ultraviolet images at the positions are different, the gray value of the pixels of the positions in the filtered image is 0.
In the step, intersection processing is carried out on a plurality of solar blind ultraviolet images, and pixel points with unstable gray values in a target time interval are filtered. The pixel points with unstable gray values can influence the accuracy of target detection data, and then influence the statistics and standardized judgment of the ultraviolet intensity of the upper computer on the detected area, so that the accuracy of the partial discharge judgment result is influenced.
Optionally, for partial discharge with lower intensity, the solar blind ultraviolet image may show a probability scatter imaging characteristic, a high probability flash point appears at the power equipment where the partial discharge appears, and the same pixel point position of each solar blind ultraviolet image may not continuously have high gray scale. And inputting the plurality of solar blind ultraviolet images into a filtering model, performing superposition filtering processing on the plurality of solar blind ultraviolet images by using the filtering model, and reserving gray values of pixel points of high-frequency flash points to obtain a filtering image. The filtering model can be in a neural network structure, and the initial model is trained by utilizing a video composed of large-sample low-intensity partial discharge ultraviolet images, so that the filtering model is obtained.
And 206, obtaining target detection data according to the filtered image, and transmitting the target detection data to an upper computer in the partial discharge detection system.
The target detection data are used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data by the upper computer.
Illustratively, position coordinates and gray values of pixel points, of which gray values meet preset conditions, in the filtered image are taken as target detection data. If the gray value of the pixel point meets the preset condition, the pixel point is partially discharged at the position corresponding to the detected area. The preset condition may be a section with a larger gray value, and when the gray value of the pixel point accords with the preset condition, the brightness of the pixel point is higher, and has obvious difference with the brightness of the pixel point in the filtered image, where the ultraviolet signal is not acquired.
Also exemplary, the entire image data of the filtered image is taken as target detection data, and the target detection data is used for the upper computer to reproduce the filtered image according to the target detection data so as to determine the position of partial discharge in the detected area according to the filtered image.
Alternatively, the rate at which the solar blind ultraviolet detection device 102 transmits the target detection data may be 1/2 or 1/3 of the detection frame rate of the solar blind ultraviolet detection device 102.
In this step, the solar blind ultraviolet detection device 102 sends the target detection data to the host computer, so that the transmission efficiency of the partial discharge detection information can be effectively improved, and the occupation of signal transmission resources caused by the transmission of the solar blind ultraviolet image is avoided.
The partial discharge detection method is applied to a solar blind ultraviolet detection device 102 in a partial discharge detection system, and the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, wherein the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image by acquiring a solar blind ultraviolet image set of a detected area in a target time interval; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; and obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system, wherein the target detection data is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data by the upper computer. In the embodiment, the solar blind ultraviolet image is obtained by carrying out uniform correction treatment on the initial ultraviolet image, so that the ultraviolet image accurately corresponding to the actual illumination intensity can be obtained; the overlapping filtering processing is carried out on a plurality of solar blind ultraviolet images in the solar blind ultraviolet image set to obtain a filtering image, flash point signals formed by an enhancement tube in the solar blind ultraviolet detection device 102 in the process of fluorescence excitation and gain of the obtained ultraviolet signals can be effectively filtered, scattered light clusters generated by corona discharge through air propagation can be filtered, and the influence of the signals on whether partial discharge occurs to power equipment in a detected area determined by an upper computer is avoided, so that the accuracy of the partial discharge detection method is improved.
In an exemplary embodiment, based on the embodiment shown in fig. 2, as shown in fig. 3, a method is provided for performing superposition filtering processing on a plurality of solar blind ultraviolet images to obtain a filtered image, where the method includes:
Step 302, two solar blind ultraviolet images are taken out from the solar blind ultraviolet image set, and comparison processing is performed according to the processes shown in the steps 304 to 308.
One of the two solar blind ultraviolet images is a first solar blind ultraviolet image, and the other of the two solar blind ultraviolet images is a second solar blind ultraviolet image.
For example, two solar blind ultraviolet images may be randomly taken from a solar blind ultraviolet image set. Also exemplary, the two solar blind ultraviolet images may be sequentially taken from the solar blind ultraviolet image set in time sequence.
Step 304, for each pixel point in the first solar blind ultraviolet image, comparing the gray value of the pixel point with the gray value of the pixel point at the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value.
And 306, if the gray level difference value is smaller than or equal to a preset difference value threshold, keeping the gray level value of the pixel point in the first solar blind ultraviolet image unchanged.
If the gray level difference is smaller than or equal to the preset difference threshold, it is indicated that the corresponding positions of the pixel points in the current position in the detected area have ultraviolet signals at the shooting moments of the two solar blind ultraviolet images, or have no ultraviolet signals, and the gray level value of the pixel point may be stable in the time interval from shooting the first solar blind ultraviolet image to shooting the second solar blind ultraviolet image.
And 308, if the gray level difference is greater than the difference threshold, setting the gray level value of the pixel point in the second solar blind ultraviolet image to be a preset value, and obtaining a comparison image.
If the gray level difference value is greater than the difference value threshold, it is indicated that the gray level value of the pixel point at the current position is necessarily unstable in the time interval from the shooting of the first solar blind ultraviolet image to the shooting of the second solar blind ultraviolet image, and the accuracy of detecting the partial discharge can be improved by filtering the gray level value of the pixel point at the current position.
For example, the preset value may be 0, that is, for a pixel whose gray value is unstable, the pixel is set to black. Also by way of example, the preset value may be a gray value of a pixel point near an area in the solar blind ultraviolet image where the ultraviolet signal is not captured.
Step 310, deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set.
Step 312, it is determined whether the solar blind ultraviolet image set is an empty set.
In step 314, if the solar blind ultraviolet image set is an empty set, the comparison image is taken as a filtered image.
If the solar blind ultraviolet image set is an empty set, the process of overlapping and filtering the plurality of solar blind ultraviolet images in the solar blind ultraviolet image set is finished; if the solar blind ultraviolet image set is not an empty set, the superposition filtering processing is not completed, and the solar blind ultraviolet image is not processed.
For pixel points in the filtered image, if the gray value corresponding to the pixel point is a preset value or is close to the preset value, the fact that an ultraviolet signal exists at the position corresponding to the pixel point and a partial discharge phenomenon occurs at the corresponding position in the detected area is indicated; if the gray value corresponding to the pixel point is close to 255 or is far greater than the preset value, it indicates that no ultraviolet signal exists at the position corresponding to the pixel point, and no partial discharge phenomenon occurs at the corresponding position in the detected area.
And step 316, if the solar blind ultraviolet image set is not an empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, and restarting to step 302 to continue execution until the solar blind ultraviolet image set is an empty set, and taking the comparison image corresponding to the solar blind ultraviolet image set as a filter image.
For example, the frame rate of the solar blind ultraviolet detection device 102 is 25fps, the interval length of the target time interval is 120ms, that is, the solar blind ultraviolet image set includes 3 solar blind ultraviolet images, and the above-mentioned superposition filtering processing is performed on the 3 solar blind ultraviolet images, so as to obtain a filtered image.
In this embodiment, by performing superposition filtering processing on a plurality of solar blind ultraviolet images in a solar blind ultraviolet image set to obtain a filtered image, weak associated scattered point signals in a detected area, such as sporadic scattered point interference signals of an enhancement tube, can be effectively filtered directly, and the duty ratio of effective signals in target detection data is improved, so that an area where partial discharge occurs can be accurately determined, the false alarm rate of partial discharge detection can be reduced to an unattended monitoring level, and the accuracy of a partial discharge detection method is effectively improved.
In an exemplary embodiment, based on the embodiment shown in fig. 3, as shown in fig. 4, a process of obtaining target detection data according to a filtered image in the method is provided, including:
And step 402, performing boundary division processing on the filtered image according to a preset sensing threshold value to obtain an initial sensing region.
The boundary dividing process refers to determining one or more connected domains in the filtered image, and the shape of the connected domains may be regular or irregular. The gray value of each pixel point in the connected domain and on the boundary of the connected domain is larger than or equal to a preset sensing threshold value.
For example, a boundary may be determined in the filtered image by an edge detection algorithm, a threshold segmentation algorithm, or an edge tracking algorithm, where a connected domain defined by the boundary is an initial sensing region.
And step 404, calibrating the minimum circumscribing circle of the initial sensing area to obtain an initial circle center coordinate and an initial radius of the minimum circumscribing circle, and taking the initial circle center coordinate and the initial radius as target detection data.
For example, the solar blind ultraviolet image may be shown in fig. 5, the filtered image obtained by the superposition filtering process of the solar blind ultraviolet image is further subjected to boundary division and minimum circumscribed circle calibration, and the obtained processed image is shown in fig. 6. The circle center of the minimum circumscribing circle in fig. 6 is the initial circle center coordinate in the target detection data, and the radius of the minimum circumscribing circle is the initial radius in the target detection data. The initial center coordinates may be used to determine the location in the detected area where the partial discharge occurs, and the initial radius may be used to determine the intensity of the partial discharge, the larger the initial radius, the greater the intensity of the partial discharge.
Also exemplary, in the case where partial discharge does not occur in the detected region, all bright spots in the filtered image, which have no gray value far greater than a preset value, are detected with the target detection data of 0.
In this embodiment, the boundary dividing process and the minimum circumcircle calibration are performed on the filtered image, and the target detection data is obtained according to the center coordinates and the radius of the minimum circumcircle, so that when the partial discharge condition exists in the detected area, the target detection data includes the main information of the partial discharge, and the solar blind ultraviolet detection device sends the target detection data to the upper computer instead of the solar blind ultraviolet image, so that the transmission efficiency can be effectively improved, and the efficiency of the partial discharge detection method is improved.
In an exemplary embodiment, as shown in fig. 7, a partial discharge detection method is provided, and the method is applied to the solar blind ultraviolet detection device 102 in fig. 1, for example, and includes the following steps 701 to 710. Wherein:
Step 701, acquiring a solar blind ultraviolet image set of a detected area in a target time interval, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image.
Step 702, two solar blind ultraviolet images are taken out from the solar blind ultraviolet image set, and comparison processing is performed according to the processes shown in steps 703 to 705.
Step 703, comparing the gray value of the pixel with the gray value of the pixel at the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value for each pixel in the first solar blind ultraviolet image.
And step 704, if the gray level difference value is smaller than or equal to the preset difference value threshold, maintaining the gray level value of the pixel point in the first solar blind ultraviolet image unchanged.
And step 705, if the gray level difference is greater than the difference threshold, setting the gray level value of the pixel point in the second solar blind ultraviolet image as a preset value, and obtaining a comparison image.
Step 706, deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set.
Step 707, determining whether the solar blind ultraviolet image set is an empty set.
If the solar blind ultraviolet image set is empty, step 708, the comparison image is taken as a filtered image.
Step 709, if the solar blind ultraviolet image set is not the empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, and continuing to execute the process of taking out two solar blind ultraviolet images from the solar blind ultraviolet image set for comparison processing until judging whether the solar blind ultraviolet image set is the empty set, until the solar blind ultraviolet image set is the empty set, and taking the comparison image as a filter image.
And step 710, obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system.
Optionally, performing boundary division processing on the filtered image according to a preset sensing threshold to obtain an initial sensing region; and calibrating the minimum circumscribing circle of the initial sensing area to obtain initial circle center coordinates and initial radius of the minimum circumscribing circle, and taking the initial circle center coordinates and the initial radius as target detection data.
In an exemplary embodiment, as shown in fig. 8, the present application further provides a partial discharge detection method, which is described by taking the application of the method to the upper computer 104 in fig. 1 as an example, and includes the following steps 802 to 804. Wherein:
step 802, acquiring target detection data sent by a solar blind ultraviolet detection device and a visual image sent by a visual detection device in a partial discharge detection system.
The method comprises the steps that target detection data are solar blind ultraviolet image sets of a detected area in a target time interval, wherein the solar blind ultraviolet image sets comprise a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting initial ultraviolet images; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; obtained from the filtered image.
The visual image is used for performing target identification processing on the basis of the visual image by the upper computer to obtain position data of the power equipment which is possibly subjected to partial discharge in the detected area; the solar blind ultraviolet detection device is also used for avoiding the problem that the solar blind ultraviolet detection device cannot detect partial discharge in a detected area due to the influence on the detection result of the partial discharge caused by the reasons of camera failure or non-startup and the like.
Step 804, determining whether partial discharge occurs in the power equipment in the detected area according to the target detection data and the visible image.
The upper computer can determine the position data of target equipment in the detected area according to the visible image, wherein the target equipment is one or more of the power equipment which may generate partial discharge in the detected area; the upper computer can determine the area and intensity of partial discharge in the detected area according to the target detection data, and can determine whether the partial discharge occurs in the power equipment in the detected area by combining the target detection data with the visible image.
For example, if the target detection data is not 0, it indicates that there is a partial discharge occurrence area in the detected area, and if the partial discharge occurrence area indicated by the target detection data matches the position data of the target device, it may be determined that the target device has a partial discharge.
In the embodiment, a partial discharge detection method is provided, which is applied to an upper computer in a partial discharge detection system, and target detection data sent by a solar blind ultraviolet detection device in the partial discharge detection system and a visual image sent by the visual detection device are obtained, wherein the target detection data is a solar blind ultraviolet image set of a detected area in a target time interval, and the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; obtained from the filtered image; and determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data and the visible image. In this embodiment, the upper computer combines the target detection data obtained by detecting and processing by the solar blind ultraviolet detection device 102 with the visible image, so as to accurately determine whether the partial discharge occurs in the power equipment in the detected area, thereby improving the accuracy of the partial discharge detection method.
In one exemplary embodiment, the object detection data in the method provided includes an initial center coordinate and an initial radius.
Based on the embodiment shown in fig. 8, as shown in fig. 9, the provided method further includes:
step 902, obtaining a mapping relation between camera coordinates corresponding to the visual image and camera coordinates corresponding to the solar blind ultraviolet images.
The mapping relation is used for mapping the camera coordinates corresponding to the arbitrary solar blind ultraviolet image into the camera coordinates corresponding to the visible image through the mapping relation.
According to the target detection data and the visual image, the provided method determines whether partial discharge occurs to the power equipment in the detected area or not, and comprises the following steps:
step 904, generating a target center coordinate and a target radius corresponding to the target detection data according to the mapping relation, the initial center coordinate and the initial radius.
The initial circle center coordinates belong to camera coordinates corresponding to the solar blind ultraviolet images, and can be mapped into target circle center coordinates according to the mapping relation. The initial radius belongs to the lengths of the camera coordinate systems corresponding to the solar blind ultraviolet images, and is the same as the target radius in value under the condition that the focal lengths and the principal points of the visual detection device and the solar blind ultraviolet detection device are the same.
Optionally, under the condition that the focal lengths and the principal points of the visual detection device and the solar blind ultraviolet detection device are different, the mapping relationship further comprises a mapping relationship between camera coordinates corresponding to the visual images and world coordinates and a mapping relationship between camera coordinates corresponding to the solar blind ultraviolet images and world coordinates. According to the mapping relation between the camera coordinates and the world coordinates, the mapping relation between the lengths in the camera coordinates corresponding to the solar blind ultraviolet images and the lengths in the camera coordinates corresponding to the visible images can be obtained, and therefore the target radius is determined according to the initial radius.
Step 906, determining whether partial discharge occurs to the power equipment in the detected area according to the target center coordinates, the target radius and the visible image.
In this embodiment, the upper computer determines whether the electric equipment in the detected area has partial discharge according to the target detection data, the mapping relation and the visible image, so as to avoid the problem of low detection efficiency caused by the fact that in the conventional technology, a large amount of data transmitted by the solar blind ultraviolet detection device 102 needs to be analyzed and processed to determine whether the electric equipment in the detected area has partial discharge; and the partial discharge condition is rapidly determined through the concise target detection data, so that the efficiency of the partial discharge detection method is improved.
In an exemplary embodiment, based on the embodiment shown in fig. 9, as shown in fig. 10, the method provided further includes:
step 1002, performing object recognition processing on the visual image to obtain visual coordinates corresponding to the object device in the detected area.
Wherein the visual coordinates belong to camera coordinates corresponding to the visual image.
In the provided method, according to the center coordinates of the target, the radius of the target and the visible image, determining whether partial discharge occurs to the power equipment in the detected area comprises the following steps:
and step 1004, performing matching processing on the visual coordinates and the target circle center coordinates to obtain a matching result, wherein the matching result comprises matching success and matching failure.
For example, the matching processing of the visual coordinate and the target center coordinate may be determining a coordinate distance between the visual coordinate and the target center coordinate, if the coordinate distance is smaller than a preset distance threshold, it indicates that the visual coordinate and the target center are located at the same position in the detected area, and if the coordinate distance is greater than or equal to the preset distance threshold, it indicates that the visual coordinate and the target center are not located at the same position in the detected area.
In step 1006, if the matching result is successful, the matching result is used to determine that partial discharge occurs in the target device in the detected area based on the matching result.
If the matching result is successful, the visual coordinates and the detected region of the target center coordinates are at the same position, and the target equipment corresponding to the visual coordinates is subjected to partial discharge in the target time interval.
Optionally, if the matching result is that the matching fails, based on the matching result, it may be determined that the target device corresponding to the visual coordinate does not generate partial discharge in the target time interval, but there is a partial discharge phenomenon in the detected area, which may be that other power devices generate partial discharge.
Optionally, under the condition that a plurality of target devices exist, the visual coordinates of the target devices have an association relation with the device identifiers, the circle center coordinates of the targets are matched with the visual coordinates, and partial discharge warning information comprising the device identifiers, the circle center coordinates of the targets and the target radius is generated for the successfully matched circle center coordinates of the targets and the visual coordinates, so that the upper computer displays the partial discharge warning information.
In this embodiment, the visual coordinates and the center coordinates of the target are matched to obtain a matching result to determine whether the target device in the detected area generates partial discharge, so that the matching between the discharge information and the device information can be quickly and accurately realized, and the efficiency of the partial discharge detection method is improved.
In an exemplary embodiment, based on the embodiment shown in fig. 10, as shown in fig. 11, the method provided further includes:
in step 1102, a target sensing area is determined according to the target center coordinates and the target radius.
The target sensing area is a circular area taking the position of the center coordinates of the target as the center and the radius of the target as the radius, and the minimum circumcircle of the target sensing area and the initial sensing area accords with the mapping relation between the camera coordinates corresponding to the visual image and the camera coordinates corresponding to the solar blind ultraviolet images.
And 1104, adding the target induction area to a position corresponding to the center coordinates of the target in the visual image to obtain a fusion result, wherein the fusion result is used for displaying by the upper computer.
The fusion result is that the visual image is a background of the bottom layer, and the target sensing area is displayed on the top layer fusion image.
In this embodiment, the fusion result is obtained by adding the target sensing area to the position corresponding to the center coordinates of the target in the visual image, and the upper computer can simultaneously display the visual image of the detected area, the position where the partial discharge occurs, and the partial discharge intensity, so that the operation and maintenance personnel can quickly determine the partial discharge detection result, thereby improving the efficiency of the partial discharge detection method.
In an exemplary embodiment, as shown in fig. 12, the present application further provides a partial discharge detection method, which is described by taking the application of the method to the upper computer 104 in fig. 1 as an example, and includes the following steps 1201 to 1204. Wherein:
step 1201, obtaining target detection data sent by a solar blind ultraviolet detection device in the partial discharge detection system, a visual image sent by the visual detection device, and a mapping relationship between camera coordinates corresponding to the visual image and camera coordinates corresponding to a plurality of solar blind ultraviolet images.
Step 1202, performing object recognition processing on the visible image to obtain visible coordinates corresponding to the object device in the detected area.
Step 1203, generating a target center coordinate and a target radius corresponding to the target detection data according to the mapping relation, the initial center coordinate and the initial radius.
And step 1204, matching the visual coordinates with the center coordinates of the target to obtain a matching result, wherein the matching result comprises successful matching and failed matching.
In step 1205, if the matching result is successful, the matching result is used to determine that partial discharge occurs in the target device in the detected area based on the matching result.
Optionally, the method provided further comprises: determining a target induction area according to the target circle center coordinates and the target radius; and adding the target induction area to a position corresponding to the center coordinates of the target in the visual image to obtain a fusion result shown in fig. 13, wherein the fusion result is used for displaying by a host computer.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a partial discharge detection device for realizing the partial discharge detection method. The implementation of the solution provided by the device is similar to that described in the above method, so specific limitations in one or more embodiments of the partial discharge detection device provided below may be referred to above as limitations of the partial discharge detection method, and will not be described herein.
In an exemplary embodiment, as shown in fig. 14, there is provided a partial discharge detection apparatus, which is applied to a solar blind ultraviolet detection apparatus in a partial discharge detection system, including: a data acquisition module 1402, an overlap filtering module 1404, and a data transmission module 1406, wherein:
the data acquisition module 1402 is configured to acquire a solar blind ultraviolet image set of the detected area in the target time interval, where the solar blind ultraviolet image set includes a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting the initial ultraviolet images;
the superposition filtering module 1404 is configured to perform superposition filtering processing on the multiple solar blind ultraviolet images to obtain a filtered image;
The data transmission module 1406 is configured to obtain target detection data according to the filtered image, and send the target detection data to an upper computer in the partial discharge detection system, where the target detection data is used by the upper computer to determine whether a partial discharge occurs in a detected area of the power device according to the target detection data.
In an exemplary embodiment, the superposition filtering module 1404 is further configured to extract two solar blind ultraviolet images from the solar blind ultraviolet image set, and perform a comparison process according to the following procedure: comparing the gray value of each pixel point in the first solar blind ultraviolet image with the gray value of each pixel point in the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value; if the gray level difference value is smaller than or equal to a preset difference value threshold, the gray level value of the pixel point in the first solar blind ultraviolet image is kept unchanged, and if the gray level difference value is larger than the difference value threshold, the gray level value of the pixel point in the second solar blind ultraviolet image is set to be a preset value, so that a comparison image is obtained; the first solar blind ultraviolet image is one of two solar blind ultraviolet images, and the second solar blind ultraviolet image is the other of the two solar blind ultraviolet images; deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set; judging whether the solar blind ultraviolet image set is an empty set or not; if the solar blind ultraviolet image set is an empty set, the comparison image is used as a filtering image; if the solar blind ultraviolet image set is not the empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, and continuously executing the process of taking out two solar blind ultraviolet images from the solar blind ultraviolet image set to compare until judging whether the solar blind ultraviolet image set is the empty set, until the solar blind ultraviolet image set is the empty set, and taking the comparison image as a filtering image.
In an exemplary embodiment, the data transmission module 1406 is further configured to perform a boundary division process on the filtered image according to a preset sensing threshold to obtain an initial sensing area; and calibrating the minimum circumscribing circle of the initial sensing area to obtain initial circle center coordinates and initial radius of the minimum circumscribing circle, and taking the initial circle center coordinates and the initial radius as target detection data.
In an exemplary embodiment, as shown in fig. 15, the present application further provides a partial discharge detection device, which is applied to an upper computer in a partial discharge detection system, and the device includes: a data acquisition module 1502 and a partial discharge detection module 1504.
The data acquisition module 1502 is configured to acquire target detection data sent by a solar blind ultraviolet detection device in the partial discharge detection system and a visual image sent by the visual detection device, where the target detection data is a solar blind ultraviolet image set obtained by the solar blind ultraviolet detection device in a target time interval of a detected area, and the solar blind ultraviolet image set includes a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image; performing superposition filtering treatment on a plurality of solar blind ultraviolet images to obtain a filtered image; obtained from the filtered image;
The partial discharge detection module 1504 is configured to determine whether partial discharge occurs in the power device in the detected area according to the target detection data and the visible image.
In one exemplary embodiment, the object detection data includes an initial center coordinate and an initial radius; the data acquisition module 1502 is further configured to acquire a mapping relationship between camera coordinates corresponding to the visual image and camera coordinates corresponding to the plurality of solar blind ultraviolet images; the partial discharge detection module 1504 is further configured to generate a target center coordinate and a target radius corresponding to the target detection data according to the mapping relationship, the initial center coordinate and the initial radius; and determining whether partial discharge occurs to the power equipment in the detected area according to the target circle center coordinates, the target radius and the visible image.
In an exemplary embodiment, the apparatus further includes a target recognition module, configured to perform target recognition processing on the visual image to obtain visual coordinates corresponding to the target device in the detected area; the partial discharge detection module 1504 is further configured to perform matching processing on the visual coordinate and the target center coordinate to obtain a matching result, where the matching result includes matching success and matching failure; and if the matching result is successful, the matching result is used for determining that the target equipment in the detected area generates partial discharge based on the matching result.
In an exemplary embodiment, the partial discharge detection module 1504 is further configured to determine a target sensing area according to the target center coordinates and the target radius; and adding the target induction area to a position corresponding to the center coordinates of the target in the visual image to obtain a fusion result, wherein the fusion result is used for displaying by a host computer.
All or part of each module in the solar blind ultraviolet detection device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In an exemplary embodiment, a computer device, which may be a terminal, is provided, and an internal structure thereof may be as shown in fig. 16. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured 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 and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a partial discharge detection method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 16 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A partial discharge detection method, characterized by being applied to a solar blind ultraviolet detection device in a partial discharge detection system, the method comprising:
acquiring a solar blind ultraviolet image set of a detected area in a target time interval, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting an initial ultraviolet image;
Two solar blind ultraviolet images are taken out from the solar blind ultraviolet image set, and comparison processing is carried out according to the following process: comparing the gray value of each pixel point in the first solar blind ultraviolet image with the gray value of the pixel point in the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value; if the gray level difference value is smaller than or equal to a preset difference value threshold, the gray level value of the pixel point in the first solar blind ultraviolet image is kept unchanged, and if the gray level difference value is larger than the difference value threshold, the gray level value of the pixel point in the second solar blind ultraviolet image is set to be a preset value, so that a comparison image is obtained; the first solar blind ultraviolet image is one of the two solar blind ultraviolet images, and the second solar blind ultraviolet image is the other of the two solar blind ultraviolet images;
Deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set;
judging whether the solar blind ultraviolet image set is an empty set or not;
If the solar blind ultraviolet image set is not an empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, and continuously executing the process of taking out two solar blind ultraviolet images from the solar blind ultraviolet image set to compare until judging whether the solar blind ultraviolet image set is an empty set, until the solar blind ultraviolet image set is an empty set, and taking the comparison image corresponding to the solar blind ultraviolet image set as a filtering image;
and obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system, wherein the target detection data is used for the upper computer to determine whether partial discharge occurs to the power equipment in the detected area according to the target detection data.
2. The method according to claim 1, wherein the method further comprises:
acquiring an initial ultraviolet image and a correction coefficient matrix, wherein the correction coefficient matrix comprises correction coefficients corresponding to all pixel points in the detected area;
correcting the initial gray value of each pixel point in the initial ultraviolet image by using the corresponding correction coefficient in the correction coefficient matrix to obtain a corrected gray value;
and obtaining the solar blind ultraviolet image according to the corrected gray value corresponding to each pixel point.
3. The method of claim 1, wherein obtaining target detection data from the filtered image comprises:
Performing boundary division processing on the filtered image according to a preset sensing threshold value to obtain an initial sensing region;
and calibrating the minimum circumscribing circle of the initial sensing area to obtain initial circle center coordinates and initial radius of the minimum circumscribing circle, and taking the initial circle center coordinates and the initial radius as target detection data.
4. A partial discharge detection method, which is applied to an upper computer in a partial discharge detection system, the method comprising:
Acquiring target detection data sent by a solar blind ultraviolet detection device and a visible image sent by the visible detection device in the partial discharge detection system, wherein the solar blind ultraviolet detection device acquires a solar blind ultraviolet image set of a detected area in a target time interval, the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting initial ultraviolet images; two solar blind ultraviolet images are taken out from the solar blind ultraviolet image set, and comparison processing is carried out according to the following process: comparing the gray value of each pixel point in the first solar blind ultraviolet image with the gray value of the pixel point in the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value; if the gray level difference value is smaller than or equal to a preset difference value threshold, the gray level value of the pixel point in the first solar blind ultraviolet image is kept unchanged, and if the gray level difference value is larger than the difference value threshold, the gray level value of the pixel point in the second solar blind ultraviolet image is set to be a preset value, so that a comparison image is obtained; the first solar blind ultraviolet image is one of the two solar blind ultraviolet images, and the second solar blind ultraviolet image is the other of the two solar blind ultraviolet images; deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set; judging whether the solar blind ultraviolet image set is an empty set or not; if the solar blind ultraviolet image set is not an empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, continuously executing the process of taking out two solar blind ultraviolet images from the solar blind ultraviolet image set for comparison processing until judging whether the solar blind ultraviolet image set is an empty set, taking the comparison image corresponding to the solar blind ultraviolet image set as a filtering image until the solar blind ultraviolet image set is an empty set, and obtaining the target detection data according to the filtering image;
And determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data and the visual image.
5. The method of claim 4, wherein the target detection data includes an initial center coordinate and an initial radius;
The method further comprises the steps of:
obtaining a mapping relation between camera coordinates corresponding to the visual image and camera coordinates corresponding to the solar blind ultraviolet images;
the determining whether the partial discharge occurs to the power equipment in the detected area according to the target detection data and the visual image comprises the following steps:
Generating a target center coordinate and a target radius corresponding to the target detection data according to the mapping relation, the initial center coordinate and the initial radius;
And determining whether partial discharge occurs to the power equipment in the detected area according to the target circle center coordinates, the target radius and the visual image.
6. The method of claim 5, wherein the method further comprises:
Performing target recognition processing on the visible image to obtain visible coordinates corresponding to target equipment in the detected area;
the determining whether the partial discharge occurs to the power equipment in the detected area according to the target center coordinates, the target radius and the visual image comprises the following steps:
Matching the visual coordinates with the target circle center coordinates to obtain matching results, wherein the matching results comprise matching success and matching failure;
And if the matching result is successful, the matching result is used for determining that partial discharge occurs to the target equipment in the detected area based on the matching result.
7. The method of claim 6, wherein the method further comprises:
Determining a target induction area according to the target circle center coordinates and the target radius;
and adding the target induction area to a position corresponding to the center coordinates of the target in the visual image to obtain a fusion result, wherein the fusion result is used for being displayed by the upper computer.
8. The method of claim 6, wherein the method further comprises:
If the matching result is that the matching fails, the matching result is used for determining that the target equipment corresponding to the visual coordinates does not generate partial discharge in the target time interval based on the matching result, but the partial discharge phenomenon exists in the detected area.
9. A partial discharge detection apparatus, characterized by a solar blind ultraviolet detection apparatus for use in a partial discharge detection system, the apparatus comprising:
The data acquisition module is used for acquiring a solar blind ultraviolet image set of a detected area in a target time interval, wherein the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting the initial ultraviolet images;
The superposition filtering module is used for taking out two solar blind ultraviolet images from the solar blind ultraviolet image set, and comparing the two solar blind ultraviolet images according to the following process: comparing the gray value of each pixel point in the first solar blind ultraviolet image with the gray value of the pixel point in the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value; if the gray level difference value is smaller than or equal to a preset difference value threshold, the gray level value of the pixel point in the first solar blind ultraviolet image is kept unchanged, and if the gray level difference value is larger than the difference value threshold, the gray level value of the pixel point in the second solar blind ultraviolet image is set to be a preset value, so that a comparison image is obtained; the first solar blind ultraviolet image is one of the two solar blind ultraviolet images, and the second solar blind ultraviolet image is the other of the two solar blind ultraviolet images; deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set; judging whether the solar blind ultraviolet image set is an empty set or not; if the solar blind ultraviolet image set is not an empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, and continuously executing the process of taking out two solar blind ultraviolet images from the solar blind ultraviolet image set to compare until judging whether the solar blind ultraviolet image set is an empty set, until the solar blind ultraviolet image set is an empty set, and taking the comparison image corresponding to the solar blind ultraviolet image set as a filtering image;
The data transmission module is used for obtaining target detection data according to the filtered image, and sending the target detection data to an upper computer in the partial discharge detection system, wherein the target detection data is used for the upper computer to determine whether partial discharge occurs to the power equipment in the detected area according to the target detection data.
10. A partial discharge detection device, characterized by being applied to an upper computer in a partial discharge detection system, the device comprising:
The data acquisition module is used for acquiring target detection data sent by a solar blind ultraviolet detection device and a visible image sent by the visible detection device in the partial discharge detection system, wherein the solar blind ultraviolet detection device acquires a solar blind ultraviolet image set of a detected area in a target time interval, the solar blind ultraviolet image set comprises a plurality of solar blind ultraviolet images, and the solar blind ultraviolet images are obtained by uniformly correcting initial ultraviolet images; two solar blind ultraviolet images are taken out from the solar blind ultraviolet image set, and comparison processing is carried out according to the following process: comparing the gray value of each pixel point in the first solar blind ultraviolet image with the gray value of the pixel point in the corresponding position in the second solar blind ultraviolet image to obtain a gray difference value; if the gray level difference value is smaller than or equal to a preset difference value threshold, the gray level value of the pixel point in the first solar blind ultraviolet image is kept unchanged, and if the gray level difference value is larger than the difference value threshold, the gray level value of the pixel point in the second solar blind ultraviolet image is set to be a preset value, so that a comparison image is obtained; the first solar blind ultraviolet image is one of the two solar blind ultraviolet images, and the second solar blind ultraviolet image is the other of the two solar blind ultraviolet images; deleting the first solar blind ultraviolet image and the second solar blind ultraviolet image from the solar blind ultraviolet image set; judging whether the solar blind ultraviolet image set is an empty set or not; if the solar blind ultraviolet image set is not an empty set, taking the comparison image as a new solar blind ultraviolet image in the solar blind ultraviolet image set, continuously executing the process of taking out two solar blind ultraviolet images from the solar blind ultraviolet image set for comparison processing until judging whether the solar blind ultraviolet image set is an empty set, taking the comparison image corresponding to the solar blind ultraviolet image set as a filtering image until the solar blind ultraviolet image set is an empty set, and obtaining the target detection data according to the filtering image;
And the partial discharge detection module is used for determining whether partial discharge occurs to the power equipment in the detected area according to the target detection data and the visual image.
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| CN116741084A (en) * | 2022-03-04 | 2023-09-12 | 深圳光峰科技股份有限公司 | Image display method, device, terminal and readable storage medium |
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| CN112801949A (en) * | 2021-01-15 | 2021-05-14 | 国网江苏省电力有限公司电力科学研究院 | Method and device for determining discharge area in ultraviolet imaging detection technology |
| CN115205246B (en) * | 2022-07-14 | 2024-04-09 | 中国南方电网有限责任公司超高压输电公司广州局 | Method and device for extracting ultraviolet image characteristics of converter valve through corona discharge |
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| CN116741084A (en) * | 2022-03-04 | 2023-09-12 | 深圳光峰科技股份有限公司 | Image display method, device, terminal and readable storage medium |
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