▎ 摘　　要

NOVELTY - The utility model claims unmanned aerial vehicle technology field, specifically claims a unmanned aerial vehicle based on neural network to measure wind direction and wind speed of the unmanned aerial vehicle comprises a central body, a flight bracket, a flight motor, processes a sensing unit. the centre machine body bracket together with the flight of unmanned aerial vehicle subject portion on each of said flight bracket set the flight motor; the machine shell is a cylindrical shell structure, the processes a sensing unit comprises at least four wind sensor of graphene and a protecting cap; and a neural network processor, on the machine shell is set with at least four wind the graphene sensor on four different peripheral directions of the surface. The hovering action of unmanned aerial vehicle in a certain space area for multi-point measuring, through the array processes a precise measuring wind speed, wind direction, greatly improving the measuring precision of the data, and the measured data in real-time transmission to the remote terminal device, data statistics, and data display, wireless transmission speed is fast, the operation is simple.