OVERVIEW AND PROSPECT OF INTELLIGENT DETECTION OF HOT SPOT EFFECT OF PHOTOVOLTAIC MODULES

Wang Daolei; Yao Congrong; Li Chao; Wang Weijun; Qin Baoxing; Zhu Rui

doi:10.19912/j.0254-0096.tynxb.2023-0042

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (5) : 527-536. DOI: 10.19912/j.0254-0096.tynxb.2023-0042

OVERVIEW AND PROSPECT OF INTELLIGENT DETECTION OF HOT SPOT EFFECT OF PHOTOVOLTAIC MODULES

Wang Daolei¹, Yao Congrong¹, Li Chao¹, Wang Weijun², Qin Baoxing³, Zhu Rui¹

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Abstract

In view of the many and complicated problems in the current hot spot detection methods of photovoltaic modules, summarizes and systematically analyzes the existing traditional and intelligent hot spot detection methods for PV modules at home and abroad. And the latest progress of applying deep learning algorithms to them. Focusing on the application of various neural networks, attention mechanisms and target detection models to the detection of hot spot infrared images, such as multi-scale CNN, SpotFPN-based multi-scale feature learning modules etc. After that, experiments are conducted to compare the intelligent diagnostic techniques for hot spot detection of PV modules. Finally, the current issues are discussed and the future progress of the technology is expected.

Key words

PV modules / solar power generation / infrared imaging / deep learning / hot spot / intellectualization

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Wang Daolei, Yao Congrong, Li Chao, Wang Weijun, Qin Baoxing, Zhu Rui. OVERVIEW AND PROSPECT OF INTELLIGENT DETECTION OF HOT SPOT EFFECT OF PHOTOVOLTAIC MODULES[J]. Acta Energiae Solaris Sinica. 2024, 45(5): 527-536 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0042

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