A Discharge Point Location Method and System Based on a Single-Pixel Ultraviolet Sensor
The ultraviolet energy response value of the visible light image of the power equipment is obtained through a single-pixel ultraviolet sensor, and the ultraviolet energy distribution of abnormal discharge points is simulated, which solves the problems of low accuracy and high cost in traditional methods, and realizes high-precision positioning and low-cost detection of micro discharge points in power equipment.
Patent Information
- Application Number
- CN202510451655.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-11
- Publication Date
- 2025-07-04
- Estimated Expiration
- 2045-04-11
AI Technical Summary
Traditional partial discharge detection methods have problems such as low accuracy, susceptibility to external environment interference and high cost in high voltage power equipment, making it difficult to accurately locate micro discharge points.
The discharge point positioning method based on a single-pixel ultraviolet sensor is adopted. By obtaining the ultraviolet energy response value of the visible light image, the ultraviolet energy distribution of the abnormal discharge point in the visible light image is simulated, and combined with image stitching and objective function solution, the precise positioning of the abnormal discharge point is achieved.
It realizes high-precision positioning of micro discharge points in power equipment, reduces equipment costs, improves the stability and popularity of detection, and improves detection efficiency and automation level.
Smart Images

Figure CN119959713B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power, and in particular to a method and system for discharging point positioning based on a single-pixel ultraviolet sensor. Background Art
[0002] With the development of the power system and the continuous improvement of the requirements for equipment safety, the application of partial discharge (PD) detection in high-voltage power equipment has become increasingly important, especially for the monitoring of key power facilities such as high-voltage transmission towers.
[0003] Traditional partial discharge detection methods, such as ultrasonic imagers and infrared thermal imagers, although they can detect abnormal discharge phenomena to a certain extent through ultrasonic waves or infrared rays, have low accuracy, cannot locate tiny discharge points, and are also easily affected by external environmental factors, especially the partial discharge detection based on ultrasonic imagers; although there are currently methods and devices that can accurately detect discharge phenomena, such as ultraviolet imagers, their use costs are high and they cannot be well popularized. Summary of the Invention
[0004] Based on the problem of abnormal discharge detection of high-voltage power equipment, the present invention provides a method and system for discharging point positioning based on a single-pixel ultraviolet sensor, aiming to achieve precise positioning of abnormal discharge points in power equipment through a simplified device structure and high-precision ultraviolet energy response analysis technology.
[0005] In an embodiment provided by the present invention, the method for discharging point positioning based on a single-pixel ultraviolet sensor includes the following steps:
[0006] Based on a target area, obtain a visible light image and obtain ultraviolet energy response values at different positions within the visible light image;
[0007] Based on the ultraviolet energy response values at different positions in the visible light image, locate the abnormal discharge points within the target area by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image.
[0008] In this embodiment or other embodiments, the obtaining of the visible light image based on the target area includes the following steps:
[0009] Obtain a plurality of visible light sub-images, and any visible light sub-image has an overlapping image with at least one other visible light sub-image;
[0010] Use the plurality of visible light sub-images to splice based on the overlapping images to obtain the visible light image, and the visible light image includes the target area image.
[0011] In this embodiment or other embodiments, obtaining a visible photon image and obtaining the ultraviolet energy response value of this visible photon image includes the following steps:
[0012] Provide an image acquisition device and use the image acquisition device to acquire the visible photon image;
[0013] Provide an energy response device and use the energy response device to synchronously obtain the ultraviolet energy response value of the visible photon image.
[0014] In this embodiment or other embodiments, in order to obtain the visible photon image and its corresponding ultraviolet light energy response value, the provided image acquisition device and energy response device are integrated in the same housing, and at least one light inlet is provided on the housing;
[0015] The image acquisition device generates a visible photon image based on the light passing through the light inlet, and the energy response device generates an ultraviolet energy response value synchronously based on the light.
[0016] In this embodiment or other embodiments, the energy response device collects ultraviolet light intensity data based on an ultraviolet sensor, and the ultraviolet sensor has a response characteristic matrix that is Gaussian distributed based on the center point. The central element in the response characteristic matrix is the maximum ultraviolet energy response coefficient , and the ultraviolet energy response coefficient of any other element is , where represents the element coordinates, represents the element coordinates at the ultraviolet energy response coefficient, represents the central element coordinates, represents the ultraviolet energy diffusion coefficient.
[0017] In this embodiment or other embodiments, based on the response characteristic matrix that is Gaussian distributed based on the center point, the ultraviolet energy response value of any visible light image satisfies the following calculation model: , where represents the ultraviolet energy response value of the visible photon image, represents the element coordinates at the ultraviolet energy response coefficient, represents the ultraviolet energy intensity of the visible light image at the pixel coordinates .
[0018] In this embodiment or other embodiments, based on the ultraviolet energy response values at different positions in the visible light image, by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image, locating the abnormal discharge points in the target area includes the following steps:
[0019] Construct an objective function based on the number of abnormal discharge points, the coordinates of each abnormal discharge point, and the diffusion coefficient of each abnormal discharge point;
[0020] Use the ultraviolet energy response values at different positions in the visible light image to solve the objective function and obtain the coordinates of the abnormal discharge points in the visible light image.
[0021] In this embodiment or other embodiments, the objective function satisfies the following characterization model: , where both i and j are coordinate serial numbers, n represents the number of positions in the visible light image where ultraviolet energy response values are detected, m represents the number of abnormal discharge points to be solved, represents the ultraviolet energy value of the abnormal discharge point to be solved at the pixel coordinate ; represents the ultraviolet energy diffusion coefficient of the abnormal discharge point to be solved at the pixel coordinate ; represents the ultraviolet energy response value at the position of the pixel coordinate .
[0022] In this embodiment or other embodiments, based on the ultraviolet energy response values at different positions in the visible light image, by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image, to locate the abnormal discharge points in the target area, the method further includes the following steps:
[0023] Set the initial positions of the abnormal discharge points according to the ultraviolet energy response values at different positions in the visible light image.
[0024] In this embodiment or other embodiments, the present invention also provides a discharge point positioning system based on a single-pixel ultraviolet sensor for the discharge point positioning method based on a single-pixel ultraviolet sensor; the discharge point positioning system based on a single-pixel ultraviolet sensor includes an input device, a processor, a memory, and an output device; wherein, the input device, the processor, the memory, and the output device are interconnected; the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the discharge point method based on a single-pixel ultraviolet sensor provided in this embodiment or other embodiments.
[0025] The advantages of the discharge point positioning method and system based on a single-pixel ultraviolet sensor provided by the present invention are:
[0026] The present invention can accurately locate abnormal discharge points based on the ultraviolet energy response value, effectively identify tiny discharge points, is not easily interfered by environmental factors, and has higher stability and accuracy than traditional methods (such as ultrasonic imaging or infrared thermography). It is particularly suitable for early diagnosis of tiny and local discharge phenomena in power equipment.
[0027] Compared with traditional ultraviolet imagers or high-cost multi-sensor systems, the present invention uses a single-pixel ultraviolet sensor, simplifies the device structure, helps reduce costs, makes the technology more popularizable, and is suitable for application in large-scale power equipment.
[0028] Furthermore, the present invention integrates the image acquisition device and the energy response device in the same housing, and realizes the synchronous integration between image acquisition and data processing through synchronous acquisition, simplifies the installation and operation processes of the device, and helps improve the efficiency and accuracy of data acquisition.
[0029] Even further, through the integration of image stitching and ultraviolet energy response value, the present invention can achieve real-time monitoring of a larger target area, quickly locate the position of the discharge point, improve the detection efficiency, and help enhance the automation and intelligence level of detection. Description of the Drawings
[0030] Figure 1 It is a flowchart of the discharge point location method based on a single-pixel ultraviolet sensor in an embodiment provided by the present invention.
[0031] Figure 2 It is a schematic diagram of the overall structure of a power pole tower in an embodiment provided by the present invention.
[0032] Figure 3 It is a schematic diagram of the discharge point location system based on a single-pixel ultraviolet sensor in an embodiment provided by the present invention.
[0033] Figure 4 It is a structural diagram of the discharge point location device based on a single-pixel ultraviolet sensor with a single light input port in an embodiment provided by the present invention.
[0034] Figure 5 It is a structural diagram of the discharge point location device based on a single-pixel ultraviolet sensor with a double light input port in another embodiment provided by the present invention. Detailed Embodiments
[0035] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application.
[0036] In the description of the present application, the detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application. Additionally, terms such as "first" and "second" are only used for distinguishing descriptions and should not be construed as indicating or implying relative importance.
[0037] Obviously, only some embodiments of the present invention are described below. For those of ordinary skill in the art, other implementation manners can be obtained based on these embodiments without creative efforts.
[0038] In an embodiment provided by the present invention, please refer to Figure 1 , Figure 1 which is the flowchart of the discharge point positioning method based on a single-pixel ultraviolet sensor in this embodiment.
[0039] As Figure 1 shown, for any target area that may have potential abnormal discharge hazards, the discharge point positioning method based on a single-pixel ultraviolet sensor includes the following steps:
[0040] S01. Based on the target area, obtain a visible light image and obtain the ultraviolet energy response values at different positions within the visible light image.
[0041] Furthermore, in this embodiment, the target area is the spatial area where the power pole is located; in other embodiments, the target area can also be the spatial area where other power equipment is located.
[0042] The step of obtaining a visible light image based on the target area in step S01 aims to obtain a visible light image of the spatial area where abnormal discharge points may exist. It can be understood that in step S01 of this embodiment, the aim is to obtain a visible light image of the entire power pole, as Figure 2 shown.
[0043] It should be noted that in some other embodiments that require local abnormal discharge point detection and positioning, step S01 aims to obtain a visible light image of the local area related to the abnormal discharge point, such as Figure 2 areas A, B, C, etc. in
[0044] To obtain a visible light image of the entire power pole, further, in this embodiment, the step of obtaining a visible light image based on the target area in step S01 includes the following steps:
[0045] S0111. Obtain a plurality of visible light sub-images, and any visible light sub-image has an overlapping picture with at least one other visible light sub-image.
[0046] Specifically, a target area containing a power pole tower is continuously collected with visible photon images by an image acquisition device; it can be understood that each visible photon image contains a partial image of the power pole tower for subsequent image stitching operations.
[0047] In this embodiment, for the convenience of subsequent image stitching, there is a 30% overlapping picture between any visible photon image and at least one other visible photon image; in other embodiments, the overlapping picture ratio between the visible photon images and the other visible photon images can be set according to the actual situation.
[0048] S0112. Using the several visible photon images, perform stitching based on the overlapping pictures to obtain the visible light image, and the visible light image includes the target area image.
[0049] Furthermore, step S0112 can be implemented through the following image registration technology. First, perform grayscale conversion and Gaussian filtering preprocessing on the visible photon images to eliminate color and noise interference. Then, construct a Gaussian pyramid and use the DOG operator to detect extreme points in the scale space. Next, perform sub-pixel accurate positioning on the extreme points through three-dimensional quadratic curve fitting, combine the response threshold to eliminate low-contrast points, and eliminate edge response points based on the curvature of the Hessian matrix to obtain stable SIFT key points. Then, generate an 8-direction gradient histogram with the gradient information of a 16×16 pixel neighborhood of the key points, and combine them to form a 128-dimensional normalized SIFT feature vector. Subsequently, use the Euclidean distance to match the feature points, screen out valid matching point pairs through Lowe's ratio test, use the RANSAC algorithm to iteratively estimate the homography matrix and eliminate mis-matching points, unify each sub-image to the reference image coordinate system through homography transformation, and after bilinear interpolation resampling, use linear gradient weighted fusion or pyramid fusion to eliminate the stitching seam in the overlapping area. Finally, merge all sub-images into a complete visible light image and crop according to the target area range to ensure that it completely contains the target area image.
[0050] Even further, to obtain the distribution data of the ultraviolet energy intensity at different positions within the target area, for any visible photon image, the steps for obtaining the ultraviolet energy response value in step S01 are as follows:
[0051] S0121. Provide an image acquisition device, and use the image acquisition device to collect the visible photon image.
[0052] Furthermore, the image acquisition device is a visible light imaging device such as a camera or a camera that can be manually held or mounted on other movable devices for operation.
[0053] S0122. Provide an energy response device and use the energy response device to synchronously obtain the ultraviolet energy response value of the visible photon image.
[0054] Further, the energy response device is an ultraviolet light energy sensing device that can be manually held or mounted on other movable devices for operation.
[0055] It should be noted that, in order to achieve the synchronous acquisition of the visible photon image and its ultraviolet energy response value, the image acquisition device and the energy response device provided in steps S0121 and S0122 respectively can be coupled together in a certain way, so as to achieve the synchronous acquisition of data.
[0056] In this embodiment, the image acquisition device and the energy response device are integrated in the same housing, and at least one light inlet is provided on the housing. The image acquisition device and the energy response device respectively perform imaging and response based on the light from the light inlet.
[0057] Specifically, the image acquisition device provided in this embodiment realizes image acquisition based on a CMOS sensor, and the energy response device realizes ultraviolet light energy response based on an ultraviolet sensor; in some other embodiments, the provided image acquisition device can also realize image acquisition based on a CCD sensor.
[0058] Further, in order to accurately respond to the ultraviolet energy value at the center position of the visible photon image, the ultraviolet energy response matrix of the ultraviolet sensor provided in this embodiment is a response characteristic matrix with a Gaussian distribution based on the center point.
[0059] Specifically, the central element of the response characteristic matrix has the maximum ultraviolet energy response coefficient, and the ultraviolet energy response coefficients corresponding to the other elements are based on the Gaussian diffusion of the central element; specifically, the response characteristic matrix with a Gaussian distribution based on the center point satisfies the following representation: , where represents the element coordinates, represents the element coordinates at the ultraviolet energy response coefficient, represents the central element coordinates, and represents the ultraviolet energy diffusion coefficient.
[0060] Furthermore, based on the synchronous acquisition of the ultraviolet light energy on the visible photon image by the above ultraviolet sensor, the ultraviolet energy response value of any visible photon image satisfies the following calculation model: , where represents the ultraviolet energy response value of the visible photon image, represents the element coordinates at the ultraviolet energy response coefficient, Indicates the ultraviolet energy intensity at the pixel coordinates of the visible light image Note that the coordinates of each element in the above response feature matrix and the pixel coordinates in the visible light image are aligned based on their central elements.
[0061] It can be understood that the closer the central position in the visible photon image is to the abnormal discharge point, the higher the ultraviolet energy response value corresponding to the visible photon image; further, when the central position in the visible photon image coincides with the abnormal discharge point, the ultraviolet energy response value corresponding to the visible photon image has a maximum ultraviolet energy response value compared to other surrounding acquisition points.
[0062] S02. Based on the ultraviolet energy response values at different positions in the visible light image, by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image, locate the abnormal discharge points in the target area.
[0063] To accurately locate the abnormal discharge points in the target area, the step of locating the abnormal discharge points in the target area based on the ultraviolet energy response values at different positions in the visible light image and by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image in step S02 includes the following steps:
[0064] S021. Based on the number of abnormal discharge points, the coordinates of each abnormal discharge point, and the diffusion coefficient of each abnormal discharge point, construct an objective function.
[0065] It can be understood that the ultraviolet energy response values at different positions obtained in step S01 are the energy response values after the ultraviolet light energy of one abnormal discharge point is diffused or the superposition of the diffused ultraviolet light energies of multiple abnormal discharge points.
[0066] Further, by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image, and then comparing it with the ultraviolet energy response values at different positions actually detected in the visible light image, when the loss value between the two is the smallest, the position of the final abnormal discharge point in the visible light image is located.
[0067] Specifically, the objective function satisfies the following characterization model:
[0068] , where both i and j are coordinate serial numbers, n represents the number of positions in the visible light image where ultraviolet energy response values are detected, m represents the number of abnormal discharge points to be solved represents the ultraviolet energy value of the abnormal discharge point to be solved at the pixel coordinates represents the ultraviolet energy value of the abnormal discharge point to be solved at the pixel coordinates The ultraviolet energy diffusion coefficient of the abnormal discharge point represents the ultraviolet energy response value at the position with pixel coordinates here
[0069] In some specific embodiments, to further quickly and accurately locate the position of the abnormal discharge point in the visible light image, before step S021 is implemented, the following steps are further included: setting the initial position of the abnormal discharge point according to the ultraviolet energy response values at different positions in the visible light image
[0070] When the ultraviolet energy response value corresponding to the captured visible photon image is not zero, move based on the center of this visible photon image and continuously capture, so that the ultraviolet energy response value corresponding to the next visible photon image is greater than the ultraviolet energy response value corresponding to the previous visible photon image, until the ultraviolet energy response value corresponding to the next visible photon image is less than the ultraviolet energy response value corresponding to the previous visible photon image, then continuously capture around the changing position point, and set the initial position of the abnormal discharge point based on these changing position points to help quickly locate the abnormal discharge point here subsequently
[0071] S022. Use the ultraviolet energy response values at different positions in the visible light image to solve the objective function and obtain the coordinates of the abnormal discharge point in the visible light image
[0072] Further, the solution of the above objective function can be solved by the gradient descent method, the least squares method, particle swarm optimization, genetic algorithm or other heuristic methods
[0073] Based on the discharge point positioning method based on a single-pixel ultraviolet sensor provided in the above embodiments, the present invention also provides an embodiment. Please refer to Figure 3 , Figure 3 This is the schematic diagram of the discharge point positioning system based on a single-pixel ultraviolet sensor in this embodiment
[0074] As Figure 3 shown, the discharge point positioning system based on a single-pixel ultraviolet sensor provided by the present invention includes an input device, a processor, a memory, and an output device; wherein, the input device, the processor, the memory, and the output device are interconnected
[0075] Further, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions, the discharge point method based on a single-pixel ultraviolet sensor proposed in the above embodiments or other embodiments
[0076] Based on the discharge point positioning system based on a single-pixel ultraviolet sensor provided in the above embodiments, the present invention also provides an embodiment. Please refer to Figure 4 ,Figure 4 Structural diagram of a discharge point positioning device based on a single-pixel ultraviolet sensor with a single light input port for this embodiment.
[0077] As Figure 4 shown, the discharge point positioning device based on a single-pixel ultraviolet sensor provided in this embodiment is composed of a CMOS sensor 10, an ultraviolet sensor 20, and a processor 50 integrated in the same housing 00. A light input port 30 is provided on the housing 00, and a light splitting device 40 is provided on the light output side of the light input port 30, which is used to split the incident light into a first light ray and a second light ray.
[0078] Further, on the one hand, an ultraviolet light lens 21 is provided between the light splitting device 40 and the ultraviolet sensor 20, and the ultraviolet light lens 21 focuses the first light ray onto the ultraviolet sensor 20; on the other hand, a visible light lens 11 is provided between the light splitting device 40 and the CMOS sensor 10, and the visible light lens 11 is used to capture the second light ray so that the second light ray can be collected by the CMOS sensor 10.
[0079] In this embodiment, the first light ray and the second light ray are respectively collected and responded to by the ultraviolet sensor 20 and the CMOS sensor 10, and the data is transmitted to the processor 50, and then a visible light image and its corresponding ultraviolet energy response value are generated.
[0080] Based on the discharge point positioning system based on a single-pixel ultraviolet sensor provided in the above embodiment, the present invention provides another embodiment. Please refer to Figure 5 , Figure 5 Structural diagram of a discharge point positioning device based on a single-pixel ultraviolet sensor with a double light input port for this embodiment.
[0081] As Figure 5 shown, the discharge point positioning device based on a single-pixel ultraviolet sensor provided in this embodiment is composed of a CMOS sensor 10, an ultraviolet sensor 20, and a processor 50 integrated in the same housing 00. A first light input port 301 and a second light input port 302 are provided on the housing 00.
[0082] Further, an ultraviolet flat mirror 22 is provided at the first light input port 301, and an ultraviolet light lens 21 and an ultraviolet sensor 20 are sequentially provided on the light output side of the ultraviolet flat mirror 22; a visible light lens 11 is provided at the second light input port 302, a CMOS sensor 10 is provided on the light output side of the visible light lens 11, and the optical axis L2 of the visible light lens 11 is parallel to the optical axis L1 of the ultraviolet light lens 21.
[0083] In this embodiment, when detecting a discharge target, the optical signal generated by the discharge target passes through the ultraviolet flat mirror 22 to filter out the ultraviolet optical signal. This ultraviolet optical signal is then focused onto the ultraviolet sensor 20 via the ultraviolet lens 21, and the ultraviolet sensor 20 responds to the ultraviolet optical signal and then outputs the response of the ultraviolet optical signal to the processor 50. The optical signal generated by the discharge target reaches the CMOS sensor 10 through the visible light lens 11, and the CMOS sensor 10 generates a visible light image signal and outputs it to the processor 50.
[0084] Furthermore, as Figure 4 and Figure 5 shown, the external shape of the housing 00 provided in the above embodiment is a "scanning gun" - type structure for easy operation by an operator. In other embodiments, the housing of the discharge point positioning device based on a single - pixel ultraviolet sensor can also be of other types of external shapes for easy operation by an operator.
[0085] In the above embodiment, a battery 60 and a display 70 are further arranged in the housing 00. Among them, the battery 60 is used to supply power to the CMOS sensor 10, the ultraviolet sensor 20, and the processor 50. The display 70 is used to display the visible light image collected by the ultraviolet sensor 20 in real - time and display the corresponding ultraviolet energy response value of this visible light image in real - time.
[0086] In the above embodiments, the descriptions of each embodiment have their own focuses. For parts not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0087] It should be noted that the above - mentioned embodiments can be freely combined according to needs. The above is only the preferred implementation mode of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.
Claims
1. A discharge point positioning method based on a single-pixel ultraviolet sensor, characterized in that It includes the following steps: Based on the target area, obtain a visible light image and obtain the ultraviolet energy response values at different positions within the visible light image, including the following steps: Obtain a plurality of visible light photon images, and any one visible light photon image has an overlapping picture with at least one other visible light photon image; Use the plurality of visible light photon images to splice based on the overlapping pictures to obtain the visible light image, and the visible light image includes the target area image; Obtain any one visible light photon image and obtain the ultraviolet energy response value of this visible light photon image, including the following steps: Provide an image acquisition device and use the image acquisition device to acquire the visible light photon image; Provide an energy response device and use the energy response device to synchronously obtain the ultraviolet energy response value of the visible light photon image; The energy response device collects ultraviolet light intensity data based on an ultraviolet sensor, and the ultraviolet sensor has a response characteristic matrix that is Gaussian distributed based on the center point. The central element in the response characteristic matrix is the maximum ultraviolet energy response coefficient , and the ultraviolet energy response coefficient of any other element is , where represents the element coordinates, represents the element coordinates at the ultraviolet energy response coefficient, represents the central element coordinates, represents the ultraviolet energy diffusion coefficient; For the response feature matrix with a Gaussian distribution based on the center point, the ultraviolet energy response value of any visible light image satisfies the following calculation model: , where represents the ultraviolet energy response value of the visible photon image, represents the element coordinates at the ultraviolet energy response coefficient, represents the ultraviolet energy intensity of the visible light image at the pixel coordinates ; Based on the ultraviolet energy response values at different positions in the visible light image, by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image, locate the abnormal discharge points within the target area, including the following steps: Based on the number of abnormal discharge points, the coordinates of each abnormal discharge point, and the diffusion coefficient of each abnormal discharge point, construct an objective function; The objective function satisfies the following characterization model: , where both i and j are coordinate sequence numbers, n represents the number of positions with ultraviolet energy response values detected in the visible light image, and m represents the number of abnormal discharge points to be solved. represents the ultraviolet energy value of the abnormal discharge point to be solved at the pixel coordinate ; represents the ultraviolet energy diffusion coefficient of the abnormal discharge point to be solved at the pixel coordinate ; represents the ultraviolet energy response value at the position of the pixel coordinate . Use the ultraviolet energy response values at different positions in the visible light image to solve the objective function and obtain the coordinates of the abnormal discharge points in the visible light image.
2. The discharge point positioning method based on a single-pixel ultraviolet sensor according to claim 1, characterized in that For obtaining the visible light photon image and its corresponding ultraviolet light energy response value, the provided image acquisition device and energy response device are integrated in the same housing, and at least one light inlet is provided on the housing; The image acquisition device generates a visible light photon image based on the light passing through the light inlet, and the energy response device synchronously generates an ultraviolet energy response value based on the light.
3. The discharge point positioning method based on a single-pixel ultraviolet sensor according to claim 1, characterized in that The step of locating the abnormal discharge points within the target area by simulating the ultraviolet energy distribution formed by one or more abnormal discharge points in the visible light image based on the ultraviolet energy response values at different positions in the visible light image further includes the following steps: Set the initial positions of the abnormal discharge points according to the ultraviolet energy response values at different positions in the visible light image.
4. A discharge point positioning system based on a single-pixel ultraviolet sensor, characterized in that, The discharge point positioning system based on a single-pixel ultraviolet sensor includes an input device, a processor, a memory, and an output device; wherein, the input device, the processor, the memory, and the output device are interconnected; the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute any one of the methods for discharging points based on a single-pixel ultraviolet sensor according to claims 1-3.
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