A method for detecting broken grid defects in EL testing of solar cells

Abstract

The invention discloses a grid breakage defect detection method for solar battery EL testing, and is applicable to EL testing grid breakage defect detection on an industrial solar battery site. A detection algorithm is sufficiently applicable to site situations. The method comprises the following steps: firstly, performing simple pretreatment on an acquired image, performing global threshold partitioning, eliminating noise points, and selecting a treatment image area; performing guide filtering, screening a non-probe area, and enabling the non-probe area to cross with images after threshold partitioning so as to obtain a communicating domain; detecting all grids on a solar battery, and acquiring grids by virtue of characteristics of straight lines; finally, enabling the grid breakage defect area to cross with a grid area so as to obtain a grid position, and screening, thereby obtaining accurate grid breakage defect. By adopting the method, non-contact detection is achieved, the detection quality is improved, the debris rate in the detection process is reduced, and on-line automatic detection is effectively achieved.

Description

technical field [0001] The invention relates to the technical field of photovoltaic cell detection, and mainly relates to a detection method for a broken grid defect in EL testing of solar cells. Background technique [0002] With the vigorous promotion and application of clean energy in society, the photovoltaic industry has also developed rapidly, and the output of solar cells has been further expanded. As an important carrier of solar power generation, polycrystalline silicon cells are often expected to have a long service life and high conversion rate in terms of economy and applicability. However, in the process of processing and preparation, high-quality technical requirements, cumbersome production processes and material requirements make solar cells prone to various defects. The existence of these defects will reduce the photoelectric conversion efficiency of the battery sheet and reduce the service life. Therefore, defect detection of solar cells is one of the ess...

AI Technical Summary

Problems solved by technology

[0003] Existing industrial sites mainly rely on manual visual inspection, with low degree of automation and low detection efficiency

Since the broken grid defect is not obvious, workers will cause visual fatigue for a long time, resulting in a decrease in work efficiency and an increase in false detection rate and missed detection rate

The traditional detection method has been unable to keep up with the process of industrial production, and the characteristics of the material of solar cells require a non-contact method to automatically detect defects

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