WTG's blades are the core components of wind turbines, and traditional inspection methods have many drawbacks. To ensure the normal operation and lifespan of the generator set, it is necessary to regularly inspect the  blades, promptly detect abnormalities and defects, and repair them.

Traditional blade inspection methods have drawbacks such as high labor costs, inaccurate inspections, and untimely fault warnings, which cannot meet the needs of real-time monitoring and fault prediction of fan operation status. The unmanned aerial vehicle (UAV) wind turbine blade inspection solution achieves fast, effective, and accurate inspection of WTG through the autonomous flight, image acquisition and processing, abnormal alarm and processing functions of UAVs.