Unmanned aerial vehicle operating parameter automatic acquisition system and automatic sensing method

Abstract

The invention discloses an unmanned aerial vehicle operating parameter automatic acquisition system and an automatic sensing method. The system comprises an operating parameter acquisition module array, a flight parameter acquisition module and a ground station. The method includes steps: acquiring geographic information of each operating parameter acquisition module; extracting operating parameter geographic information characteristics, programming an unmanned aerial vehicle sensing area to obtain a specific regional planar graphic equation of appropriate automatic sensing operation time; acquiring a flight path; pre-judging an unmanned aerial vehicle flight path to obtain a path equation; obtaining an intersection path on a canopy plane according to the path equation and the planar graphic equation, and taking a midpoint coordinate of the intersection path as a sampling target point; making sampling strategies, determining sampling time, acquiring effective operating parameters in a sampling time range, and sending to the ground station to realize processing. The unmanned aerial vehicle operating parameter automatic acquisition system and the automatic sensing method have advantages that simultaneous data acquisition and automatic determination of sampling time are realized, and errors caused by manual visual judgment under different flight conditions are avoided.

Description

technical field [0001] The invention relates to the field of aircraft operation parameter acquisition research, in particular to an automatic acquisition system and automatic sensing method for unmanned aerial vehicle operation parameters. Background technique [0002] The application of agricultural UAVs in fields such as plant protection spraying, wind pollination, and flying sowing has been fully launched. Different from drones for high-altitude operations, the difference in field operations of agricultural drones is that the aircraft is always flying at low altitude above the crop canopy. During the operation, on the one hand, the wind field generated by the UAV rotor directly acts on the vicinity of the crop canopy, which directly affects the field operation effect. The width and size of the rotor wind field become an important aerial parameter to be collected by the UAV operation; on the other hand, no The effect of human-machine operation needs to be verified by coll...

AI Technical Summary

Problems solved by technology

This sampling method has the problems of large visual error in observation, blurred sampling time by manual judgment, and inconsistency in the starting time of various sensors.

As a result, various types of data are often not collected at the same time, which lacks reference significance; or the standards of each sample collection time are not uniform, which affects subsequent data processing; or the serious consequences of not collecting valid data or even not collecting data at all

Images