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Advances in diagnostics and monitoring using aerial surveillance drones can provide a clear overview of the operational status of solar arrays. The authors have developed an automated system for solar power plant intelligent monitoring and maintenance. The mentioned system, which is intended for detecting shades and dust covering cells, consists of a drone and intelligent control system situated on the ground. Preliminary test results have shown that accuracy of faulty parts is 92 % if the weather is clear. In order to assess efficiency of the developed system, the authors have built a mathematical model for counting all contributing factors like a solar power plant’s established capacity, UAV type, computational performance, and weather conditions.

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