Segmentation and detection method for surface occlusion of photovoltaic panels
A photovoltaic panel and detection method technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of heavy manual inspection workload, reduce manual workload, improve inspection efficiency, and improve reliability Effect
Active Publication Date: 2022-07-22
SHANGHAI DIANJI UNIV
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[0005] Aiming at the deficiencies in the above-mentioned prior art, the present invention provides a segmentation and detection method for the occlusion of the surface of photovoltaic panels, to deal with the problem of heavy manual inspection workload of large-scale photovoltaic power plants, and to use industrial drones to collect and obtain images of photovoltaic modules, aiming at Collect the acquired images of photovoltaic modules, provide HSV space-based segmentation of photovoltaic panels and identification and segmentation methods of surface green plant occlusion, and divide three types of green plant occlusion according to the set occlusion rules, providing a certain basis for fault judgment of photovoltaic power plants data base
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[0059] Below according to the appendix figure 1 , the preferred embodiments of the present invention are given and described in detail, so that the functions and characteristics of the present invention can be better understood.
[0060] see figure 1 , a method for segmentation and detection of surface occlusion of a photovoltaic cell panel according to an embodiment of the present invention, comprising the steps of:
[0061] S1: use a drone to collect an original picture of a photovoltaic module;
[0062] S2: Perform image preprocessing on the original image to obtain a preprocessed image, which belongs to the RGB color space;
[0063] S3: Convert the preprocessed image from RGB color space to HSV color space, and segment and extract the foreground part of the preprocessed image;
[0064] S4: Set the threshold value range of the color to green, set the hue value, saturation value and lightness value of the pixels in the foreground part within the threshold value range to 0...
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The present invention provides a method for segmentation and detection of surface occlusion of a photovoltaic panel, comprising the steps of: S1: collecting an original picture of a photovoltaic module by a drone; S2: performing image preprocessing on the original picture; S3: converting the preprocessed picture from RGB Convert the color space to the HSV color space, and extract the foreground part; S4: Set the threshold value range of the color to green, and set the hue value, saturation value and lightness value of the pixels in the foreground part within the threshold value range to 0 to obtain a binarization image; S5: Calculate the distribution features in the binarized image; S6: Divide the distribution types of photovoltaic modules according to the distribution features. The present invention provides a method for segmentation and detection of surface occlusion of photovoltaic panels, which uses industrial drones to collect and obtain images of photovoltaic modules, and provides a method for segmenting photovoltaic panels based on HSV space and identifying and segmenting methods for occlusion by green plants on the surface, which is a photovoltaic power station. The fault judgment provides a certain data basis.
Description
technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method for segmentation and detection of occlusion on the surface of a photovoltaic cell panel. Background technique [0002] The shading on the surface of photovoltaic modules will affect the power generation efficiency of the panels. In severe cases, the solder joints will be blown, the panels will be damaged, and even fire will occur in severe cases. Therefore, the detection of photovoltaic panels is particularly necessary. [0003] In the existing technology, the maintenance personnel observe the surface condition of the photovoltaic panel with the naked eye, and the workload is huge; the detection method based on photoelectric excitation, the electric potential difference is formed by an external circuit, and the energy level transition between electrons generates radiation light for detection or in the method to be tested. The surface of the battery panel is irradi...
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IPC IPC(8): G06T7/00G06T7/136G06T7/194G06T7/62G06T7/90
CPCG06T7/0004G06T7/136G06T7/194G06T7/62G06T7/90G06T2207/10024
Inventor 赵玲玲刘俊
Owner SHANGHAI DIANJI UNIV