Solar Panel Defect Detection Method

Abstract

The invention discloses a solar cell panel defect detection method. The method comprises the following steps: carrying out closed operation on an original gray level image of a solar cell panel to obtain an image Panel; performing closed operation and Gaussian filtering on the image Panel to obtain a light intensity distribution image I; obtaining auto-quotient graph data SQI according to the image Panel and the light intensity distribution image I; performing morphological filtering and fuzzy processing on the image Panel to obtain an imaginary texture image Film; performing morphological topcap processing and Hough straight line detection on the original grayscale image, so that a mask image Mask can be obtained; acquiring a circuit region image X and a photosensitive region image Y according to Mask, Film and SQI; obtaining a completely texture-removed image according to the image X and the image Y; and analyzing the completely-removed texture image, and detecting and marking the defects of the cell panel. By utilizing the method, the defect detection of the solar cell panel can be realized, and the problems of large parameter adjustment workload, high requirement on detectionenvironment and low detection efficiency in the prior art are solved.

Description

technical field [0001] The invention relates to the technical field of intelligent detection of solar cell panels, in particular to a defect detection method of solar cell panels. Background technique [0002] In the face of the continuous depletion of energy, my country's use of solar energy is becoming more and more extensive. Under the concept of sustainable development in our country, the solar cell industry continues to expand, bringing convenience to people's lives. The main carrier of solar power generation is battery panels. At present, more than 90% of battery panels are composed of crystalline silicon materials, and their thickness is very thin, which is very easy to cause cracks and damage. In addition, the working environment of solar panels is an outdoor environment. Long-term sun exposure and rain erosion can easily cause stains and surface damage on solar panels. Enterprises need to regularly inspect the surface of solar panels. With the continuous expansion...

AI Technical Summary

Problems solved by technology

[0003] At present, whether it is solar panel factory inspection or regular inspection is mainly manual inspection, the efficiency of manual inspection is extremely low, and due to human eye fatigue and inattention, it is easy to cause missed inspections and false inspections.

There are also visual detection equipment and infrared detection equipment on the market, but these two types of equipment have relatively high requirements on the external environment, require relatively stable light sources and equipment, and require professional technicians to continuously adjust parameters on site to meet the detection needs and reduce Detection efficiency affects the company's benefits

[0004] Therefore, the existing technology has the problems of heavy workload for parameter adjustment, high requirements for the detection environment, and low detection efficiency.

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