An artificial intelligence-based low-altitude unmanned aerial vehicle intelligent inspection system and method

Abstract

This invention discloses an intelligent inspection system and method for low-altitude unmanned aerial vehicles (UAVs) based on artificial intelligence, belonging to the field of UAV inspection technology. The method includes collecting electromagnetic radiation intensity data of wind farm areas and establishing an electromagnetic interference intensity distribution model; planning the inspection path of the UAV in the wind farm area based on the electromagnetic interference intensity distribution model and the acquired wind turbine status information; during the inspection process, multiple available communication frequency bands are pre-set, the electromagnetic interference intensity at the current location is monitored in real time, and the communication frequency band is dynamically selected by comparing it with the interference threshold of each frequency band; simultaneously, the transmission power is dynamically adjusted according to the real-time signal-to-noise ratio, and an interference probability matrix is ​​constructed based on the electromagnetic interference distribution model to generate a frequency hopping sequence; the UAV flies along the inspection path to collect and transmit various data during the inspection process, processes the data respectively, and constructs a fault diagnosis model to output the health index of each wind turbine, thereby predicting the potential fault risk of each wind turbine.

Images