The invention provides a photovoltaic panel dead pixel detection method based on unmanned aerial
vehicle inspection and intelligent mechanical dog
deep learning, and belongs to the technical field of intelligent inspection, an unmanned aerial vehicle and an intelligent mechanical dog in the scheme are both provided with
infrared and 8K cameras and acoustic detection devices, cooperative operation and voice interaction can be achieved, and the method is suitable for flight detection of a
photovoltaic power station and the unmanned aerial vehicle. High-resolution acquisition and
data transmission functions are realized; intelligent mechanical dog ground supplementary detection is adopted, many modules are arranged, acoustic detection is unique, an
algorithm is trained through a large number of samples, the detection steps comprise task planning, unmanned aerial vehicle initial detection, mechanical dog supplementary detection, data fusion analysis and result feedback, and compared with traditional manual inspection, the method is high in detection efficiency, and manpower and time are greatly saved; the accuracy is high, and multi-device multi-dimensional detection is combined with
deep learning to reduce missed detection and
false detection; the comprehensiveness is excellent, and single detection limitation is overcome; the
system is good in environmental adaptability, can work normally in
extreme temperature and
humidity and complex electromagnetic environments, and provides powerful guarantee for operation and maintenance of a
photovoltaic power station.