Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach
Radioelectronic and Computer Systems, Vol. 2025, No. 2, pp. 99-117
Editorial summary
Visual and thermal UAV images are combined with bypass-diode temperature readings. A logic model uses damage, soiling, heat and diode status to distinguish fire hazards from lower-priority maintenance issues. Validation is based on predefined simulated fault scenarios.
Bibliographic reference
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Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko. "Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach". Radioelectronic and Computer Systems, Vol. 2025, No. 2, pp. 99-117, 2025. https://doi.org/10.32620/reks.2025.2.06
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