METHOD OF HOTSPOT DETECTION OF PHOTOVOLTAIC PANELS MODULES ON IMPROVED SSD

Wang Daolei; Li Mingshan; Yao Yong; Li Chao; Zhu Rui; Li Feng

doi:10.19912/j.0254-0096.tynxb.2021-1470

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (4) : 420-425. DOI: 10.19912/j.0254-0096.tynxb.2021-1470

METHOD OF HOTSPOT DETECTION OF PHOTOVOLTAIC PANELS MODULES ON IMPROVED SSD

Wang Daolei, Li Mingshan, Yao Yong, Li Chao, Zhu Rui, Li Feng

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Abstract

Hot spot problem may occur during the operation of photovoltaic panels. In order to detect hotspot, an improved hotspot detection method based on Single Shot Multibox Detector（SSD） is proposed. SSD's backbone is replaced by ResNet 101, and a new attention network is proposed that can learn the relationships among regions of the same channel feature map. The experimental results show that the improved SSD 300 model's average precision 50 （AP50） increases from 96.3% to 97.7%. To conquer the shortage of hotspot infrared images, a new method of data augmentation is proposed. After using that method, the improved SSD 300's AP50 furtherly increases to 97.9%, and detection speed reaches 23.6 FPS, the improved model basically meets the requirements of practical application.

Key words

PV modules / deep learning / object detection / infrared images / SSD / hotspot

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Wang Daolei, Li Mingshan, Yao Yong, Li Chao, Zhu Rui, Li Feng. METHOD OF HOTSPOT DETECTION OF PHOTOVOLTAIC PANELS MODULES ON IMPROVED SSD[J]. Acta Energiae Solaris Sinica. 2023, 44(4): 420-425 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1470

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