A fault monitoring and early warning method of an unmanned aerial vehicle and the unmanned aerial vehicle

Abstract

The embodiments of the invention provide a fault monitoring and early warning method of an unmanned aerial vehicle, the unmanned aerial vehicle and a storage medium, and belongs to the field of unmanned aerial vehicles. The method includes the following steps: obtaining power output percentages of shaft motors of the unmanned aerial vehicle; and determining whether an early warning is generated ornot according to whether the power output percentages exceed a set threshold. The invention also provides the unmanned aerial vehicle using the fault monitoring and early warning method. The fault monitoring and early warning method finds out safety hazards such as screw loosening, machine arm loosening and motor bearing damage in time by monitoring the abnormality of the power output percentagesof the shaft motors of the unmanned aerial vehicle, thereby improving the flight safety of the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicles, in particular to a fault monitoring and early warning method for unmanned aerial vehicles and an unmanned aerial vehicle. Background technique [0002] Multi-rotor drones are a common type of unmanned aerial vehicles currently on the market, generally consisting of three or more propellers. The electronic governor, the motor and the propellers constitute the power system of the UAV. The electronic governor receives the control instructions given by the flight controller and controls the speed of the motor and propellers to maintain and adjust the flight attitude. In industrial applications, due to the long working hours of unmanned aerial vehicles, harsh operating environments, and insufficient maintenance, abnormalities such as loose screws, loose arms, and damaged motor bearings of unmanned aerial vehicles often occur, and these situations are not easy for operators to detect. , Over ti...

AI Technical Summary

Problems solved by technology

In industrial applications, due to the long working hours of unmanned aerial vehicles, harsh operating environments, and insufficient maintenance, abnormalities such as loose screws, loose arms, and damaged motor bearings of unmanned aerial vehicles often occur, and these situations are not easy for operators to detect. , Over time, it will eventually lead to abnormalities and even bombings of unmanned aerial vehicles.

Images