The invention discloses a dDefect detection method for a solar cell panel

Abstract

The invention discloses a defect detection method for a solar cell panel, which is. realized through a measurement system formed by a test rack, a gray area array camera, a telecentric lens, an annular light source and an objective table and includesTest stand, Gray area array camera, A measurement system constructed by a telecentric lens, an annular light source and an objective table is realizedby the following steps of: shooting a picture of a solar cell panel, respectively carrying out expansion processing in horizontal and vertical directions, carrying out edge detection by adopting a canny operator, rotating the image by adopting Hough transformation, and repairing a cavity value of the rotated image; fFiltering and denoising, carrying out brightness equalization processing by adopting gamma correction, and uniformly segmenting the image; converting the segmented image into a matrix D by adopting a robust principal component algorithm, decomposing the matrix D into a low-rank matrix A and a sparse matrix E, and performing recovery processing on the matrix D according to an APG gradient approximation algorithm; and carrying out reverse returning operation on the low-rank matrix A and the sparse matrix E to a single wafer image, carrying out low-rank matrix decomposition technology processing to obtain a defective solar cell panel image, and then detecting a defect position.

Description

technical field [0001] The invention relates to the technical field of visual detection, in particular to a defect detection method of a solar battery panel. Background technique [0002] In the conversion system of solar energy and electric energy, the main carrier of solar power generation is solar cells, and its quality is one of the main reasons affecting the efficiency of solar power generation. Because the cells are exposed to the air for a long time, affected by environmental factors such as sunshine, rain, temperature, and air quality, the surface of the cells will be damaged to a certain extent, and defects will occur on the surface, which will reduce the efficiency of solar power generation. The solar panels of the solar power station are inspected to check the quality and surface defects of the cells, and timely measures are taken to replace the unqualified or damaged solar cells in actual work. At present, the surface defects of solar cells are mostly detected m...

AI Technical Summary

Problems solved by technology

Because the cells are exposed to the air for a long time, affected by environmental factors such as sunshine, rain, temperature, and air quality, the surface of the cells will be damaged to a certain extent, and defects will occur on the surface, which will reduce the power generation efficiency of solar energy. The solar panels of the solar power station are inspected to check the quality and surface defects of the batteries, and take timely measures to replace the unqualified or damaged solar panels in actual work

At present, the surface defects of solar cells are mostly detected manually. The traditional visual inspection requires a lot of manpower and material resources. At the same time, the detection results are easily affected by the subjective factors of the inspector, and the detection efficiency is low.

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