GROUP HOT SPOT DETECTION OF PHOTOVOLTAIC ARRAY BASED ON VISIBLE AND INFRARED THERMAL IMAGES

Huang Zhengzhi; Li Xiaorun; Zhang Tianwen

doi:10.19912/j.0254-0096.tynxb.2023-1988

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (3) : 454-460. DOI: 10.19912/j.0254-0096.tynxb.2023-1988

GROUP HOT SPOT DETECTION OF PHOTOVOLTAIC ARRAY BASED ON VISIBLE AND INFRARED THERMAL IMAGES

Huang Zhengzhi¹, Li Xiaorun¹, Zhang Tianwen²

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Abstract

A group hot spot detection method for PV array strings based on visible and infrared images is proposed aiming at the problem of false alarm due to the sunlight reflection of PV array strings. Firstly, considering that the complex background of PV power plants is easy to cause false alarms, the method combines UNet neural network and edge detection algorithm to realize segmentation and extraction of PV modules. Secondly, based on the characteristic that the gray value of group hot spots is higher than that of normal modules, a clustering algorithm is used to detect abnormally bright areas. Finally, the image alignment is completed by the normalized correlation coefficient template matching method, and the suppression of false alarms is realized according to the temperature information and the reflective region on the visible image. Through experimental comparison and analysis, it is demonstrated that that the proposed method is applicable to the detection of group hotspots in various scenes and can effectively eliminate the influence of sunlight reflections.

Key words

PV modules / infrared imageing / fault detection / group hot spot / cluster

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Huang Zhengzhi, Li Xiaorun, Zhang Tianwen. GROUP HOT SPOT DETECTION OF PHOTOVOLTAIC ARRAY BASED ON VISIBLE AND INFRARED THERMAL IMAGES[J]. Acta Energiae Solaris Sinica. 2025, 46(3): 454-460 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1988

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