Method for detecting color consistency of color photovoltaic modules based on multispectral imaging

CN122448359APending Publication Date: 2026-07-24BEIJING ZHONGSHENG NENGJIAN TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING ZHONGSHENG NENGJIAN TECHNOLOGY CO LTD
Filing Date
2026-05-12
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing color detection methods cannot effectively separate the background light transmission contribution from the intrinsic response of the thin film, making it difficult to achieve stable resolution of the intrinsic spectrum of the thin film. Furthermore, they cannot automatically identify color abnormalities, resulting in difficulty in guaranteeing the accuracy and reliability of the detection results.

Method used

By projecting an excitation signal with known spatial distribution characteristics onto the back side of a colored patterned photovoltaic module, a multispectral camera on the front side of the module is synchronously driven to acquire a response image sequence and acquire the background spectrum on the back side of the module. Based on the spatial distribution characteristics of the excitation signal and the response image sequence, the transmission transfer coefficient is determined pixel by pixel. The background transmission contribution is removed, multi-band clean image decomposition is performed, and the full-width thin film intrinsic color space distribution map is reconstructed. Color consistency is detected by combining the global thin film reference spectrum.

Benefits of technology

It achieves pixel-by-pixel stripping of background light, dark current, and background transmission contribution, improves the stability of intrinsic end-member spectral analysis of thin films, ensures quantitative assessment of color consistency of colored photovoltaic modules, and improves the accuracy and reliability of detection.

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Abstract

The application discloses a color photovoltaic module color consistency detection method based on multispectral imaging, and relates to the technical field of photovoltaic module quality detection, and comprises the following steps: projecting an excitation signal with a known spatial distribution characteristic to the back side of the module, synchronously driving a front multispectral camera to collect a response image sequence and collect a background spectrum; determining a waveband transmission transfer coefficient pixel by pixel, stripping the background transmission contribution to obtain a multi-waveband purified image; performing block spectral decomposition on the multi-waveband purified image, fusing a global thin film reference spectrum according to the intrinsic endmember spectrum of each image block, and correcting to obtain a full-amplitude thin film intrinsic endmember abundance map; and reconstructing a full-amplitude thin film intrinsic chroma spatial distribution map, calculating a color difference with a standard sample chroma value, and obtaining a color consistency detection result. The application realizes analysis and full-amplitude quantitative evaluation of the thin film intrinsic chroma of the color photovoltaic module, and improves the accuracy and reliability of color consistency detection.
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