Research on the detection of dislodged fault in photovoltaic modules based on line scanning

Desheng Zhao; Dedong Gao; Weihong Su; Shuai Zhang; Xiangchun Meng

doi:10.1117/12.3051399

18 November 2024 Research on the detection of dislodged fault in photovoltaic modules based on line scanning

Desheng Zhao, Dedong Gao, Weihong Su, Shuai Zhang, Xiangchun Meng

Author Affiliations +

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 134033F (2024) https://doi.org/10.1117/12.3051399
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

This study addresses the detection of dislodged fault in photovoltaic (PV) power stations by proposing a visible light image processing method utilizing line scanning. The method employs HSV (Hue-Saturation-Value) color space conversion and morphological processing to preprocess images, which achieves precise segmentation and shape simplification of PV module areas through flood fill and polygon contour fitting techniques. For fault detection, the study introduces a line-scanning-based algorithm. By setting appropriate thresholds and continuous occurrence parameters, the algorithm effectively identifies and marks dislodged areas of PV modules in the original image. Experimental results show that this method significantly improves detection accuracy and computational efficiency, providing technical support and solutions for the safe operation and maintenance of PV systems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Desheng Zhao, Dedong Gao, Weihong Su, Shuai Zhang, and Xiangchun Meng "Research on the detection of dislodged fault in photovoltaic modules based on line scanning", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 134033F (18 November 2024); https://doi.org/10.1117/12.3051399

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