Method for detecting edge red film of solar cell panel

Abstract

The invention discloses a method for detecting edge red film of a solar cell panel by using a machine vision detection system. The method comprises the following steps: acquiring the RGB image of a solar cell panel through the CCD camera of a machine vision detection system; generating a cell panel region through a back light source and extracting cell panel gate lines through an R channel; combining the two steps to remove external and white interference; and finally converting for an HSV model. According to the invention, an edge tonal variance based detection method is provided to calculate the color variance of the solar cell panel. When the color variance of the solar cell panel at the edge region represents the value determined as the disclosed figure, the solar cell panel is determined to be an edge red film. The method of the invention uses a machine vision system, adopts a detection method based on the image mean value and the image variance to select the edge red film of a solar cell panel, which replaces the traditional manual detection method, effectively improves the appearance quality of a cell panel and reduces labor intensity of manual work and the manual fragmentation rate, as well as the manual pollution to the cell, therefore, improving productivity.

Description

technical field [0001] The invention relates to a method for detecting the edge red slice of a solar cell, and belongs to the field of photovoltaic technology. Background technique [0002] At present, the world is facing severe fossil energy crisis and environmental crisis. As a clean, pollution-free and most abundant natural energy, solar energy has been widely used. However, the production process of solar cells is relatively complicated, which inevitably leads to color defects in the produced cells, such as red and gray edges. For the detection of cell color defects, most of them use manual detection. After a long time, the personnel are prone to fatigue, and the inspection standards of each personnel are inconsistent, which will cause the cells to be mixed and pollute the cells. In actual situations, the appearance and color defects of cells will not only affect the appearance quality and service life of photovoltaic modules, but also reduce the photoelectric conversio...

AI Technical Summary

Problems solved by technology

However, the production process of solar cells is relatively complicated, which inevitably leads to color defects in the produced cells, such as red and gray edges, etc.

For the detection of cell color defects, most of them use manual detection. After a long time, the personnel are prone to fatigue, and the inspection standards of each personnel are inconsistent, which will cause the cells to be mixed and pollute the cells.

In actual situations, the appearance and color defects of cells will not only affect the appearance quality and service life of photovoltaic modules, but also reduce the photoelectric conversion efficiency

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