Photovoltaic module inspection method and system based on infrared spectral imaging

By using infrared spectral imaging technology to acquire multi-band infrared radiation data of photovoltaic modules, and combining reflectivity and spectral characteristics, the problem of accuracy in identifying defects in photovoltaic modules is solved, enabling non-contact online detection and early warning.

CN122415563APending Publication Date: 2026-07-17NANJING KANSHIJIE INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING KANSHIJIE INTELLIGENT TECH CO LTD
Filing Date
2026-04-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing photovoltaic module testing methods cannot accurately identify defects under different conditions, especially in distinguishing between temperature changes and material emissivity changes, resulting in inaccurate defect identification and classification.

Method used

An infrared spectral imaging-based method is used to acquire infrared radiation intensity images of multiple infrared bands using a spectral camera. Radiation calibration is performed using a blackbody radiation furnace, reflectivity is calculated, and a reflectivity distribution map is generated. Spectral features are extracted to identify defects.

Benefits of technology

It enables accurate identification of surface defects in photovoltaic modules, distinguishes between temperature anomalies and changes in material emissivity, provides non-contact online detection and early warning, and improves the accuracy of defect identification.

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Abstract

本申请提供一种基于红外光谱成像的光伏组件检测方法及系统,方法包括:利用光谱相机获取被测光伏组件在多个红外波段下的多个红外辐射强度图像;其中,每个红外辐射强度图像上的每个像素具有光谱向量;利用黑体对红外辐射强度图像上的光谱向量进行辐射标定,将红外辐射强度图像的数字信号转换为辐射亮度;根据每个像素的辐射亮度计算每个像素的反射率,并生成红外辐射强度图像对应的反射率分布图;在反射率分布图中提取实际光谱特征,根据实际光谱特征识别被测光伏组件的缺陷。解决了无法对不同状态下的光伏组件进行缺陷识别的问题。
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