Trajectory planning method and device applied to information collection of unmanned aerial vehicle

Abstract

The embodiment of the invention provides a trajectory planning method and device applied to information collection of an unmanned aerial vehicle. The method is characterized in that preset parametersof wings of the unmanned aerial vehicle, the weight of the unmanned aerial vehicle and the arc radius are utilized, under the condition that preset constraint conditions are met, target Pareto relational expressions corresponding to arc sections and straight line sections in a preset flight path are constructed respectively, according to the target Pareto relational expressions, arc radiuses corresponding to the arc sections and arc radiuses corresponding to the straight line sections are determined respectively by utilizing preset flight energy or preset average information ages, and the information collection point and the information collection point are respectively taken as circle centers, and a flight path is generated by utilizing any determined arc radius. The method is advantagedin that by applying the flight path generated by the scheme provided by the embodiment of the invention, the average information age of the collected information has timeliness while the flight energyused by the unmanned aerial vehicle is ensured.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a trajectory planning method and device applied to information collected by drones. Background technique [0002] In recent years, the Internet of Things technology has received extensive attention and in-depth development, and has been rapidly applied in the fields of intelligent logistics, intelligent medical care, and intelligent industry and agriculture. Among them, the wireless sensor network technology based on the sensing layer of the Internet of Things is the underlying key technology to realize various functions of the Internet of Things, and has been widely valued by experts and scholars. [0003] In the prior art, the wireless sensor network corresponding to the above wireless sensor network technology includes: sensor nodes as information collection points distributed on the ground, unmanned aerial vehicles and base stations as information collection po...

AI Technical Summary

Problems solved by technology

[0006] However, although the existing technology can optimize both the transmission energy and the flight energy, due to the timeliness of the information, the flight trajectory generated by the above method cannot guarantee whether the collected information is fresh or not.

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