Photovoltaic module defect detection system and method in daytime environment, and inspection system

By inputting alternating or pseudo-random sequence current excitation signals into photovoltaic modules, combined with infrared image acquisition and deep learning models, the problems of convenience and timeliness in photovoltaic module defect detection under daytime conditions are solved, and efficient detection of hidden defects is achieved.

CN121521935APending Publication Date: 2026-02-13LANGSIFU ENERGY (ZHEJIANG) CO LTD
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Patent Information

Application Number
CN202511810360.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-03
Publication Date
2026-02-13

AI Technical Summary

Technical Problem

Existing photovoltaic module defect detection technologies cannot be performed efficiently in daytime environments. Traditional EL testing requires dark conditions, and PL testing equipment is bulky and inconvenient to operate.

Method used

A code-domain modulation-based coded current excitation signal is used to excite photovoltaic modules to generate time-varying electroluminescence signals. Combined with infrared image acquisition and processing, electroluminescence images are obtained in daytime environments using alternating current or pseudo-random sequence current, and defect detection is performed using a deep learning model.

Benefits of technology

It enables efficient detection of hidden defects in photovoltaic modules under daytime conditions, improving the convenience and timeliness of detection. It is applicable to the quality inspection of photovoltaic module production and operation and maintenance inspection, thereby improving the quality control of photovoltaic modules and the operation and maintenance level of power generation stations.

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Abstract

The invention provides a photovoltaic module defect detection system and method in a daytime environment, and an inspection system, and can be used in the technical field of photovoltaic power generation. The system comprises a high-voltage excitation module, an image acquisition module, an image processing module and a defect detection module, the high-voltage excitation module is used for inputting a coding current excitation signal based on code domain modulation to at least one photovoltaic module so as to excite the photovoltaic module to generate a time-varying electroluminescence signal; wherein the coding current excitation signal is an alternating current or a pseudo-random sequence current; the image acquisition module is used for continuously acquiring infrared images of the photovoltaic module to obtain an infrared image sequence; the image processing module is used for acquiring an electroluminescent image of the photovoltaic module based on the infrared image sequence; and the defect detection module is used for obtaining a defect detection result of the photovoltaic module based on the electroluminescent image. Daytime detection of hidden defects of the photovoltaic module can be realized, and convenience and timeliness of defect detection of the photovoltaic module in a daytime environment are greatly improved.
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