Unmanned aerial vehicle scheduling method and system based on particle swarm optimization and readable storage medium

Abstract

The invention discloses an unmanned aerial vehicle scheduling method and system based on particle swarm optimization and a readable storage medium. The method comprises the following steps: a controlcenter sends a task preparation instruction to a standby unmanned aerial vehicle group; after a task preparation instruction is received, the unmanned aerial vehicle group initializes vehicle body parameters and sends a response data packet to the control center server; the control center performs comprehensive analysis after receiving the response data packet, and determines an unmanned aerial vehicle group executing the task; a conventional path is preliminarily planned for each to-be-flied unmanned aerial vehicle, and a task is executed after receiving a starting instruction;d the unmannedaerial vehicle group and the control center keep a communication state all the time, and the control center performs whole-process scheduling based on particle swarm optimization according to the real-time state of each unmanned aerial vehicle. According to the method disclosed in the invention, by use of the particle swarm optimization technology, unmanned aerial vehicle scheduling intelligence is realized, scheduling management efficiency of the unmanned aerial vehicle group is improved, and the flight energy consumption of the unmanned aerial vehicle during task execution is effectively reduced.

Description

technical field [0001] The present invention relates to the technical field of UAV scheduling, and more specifically, to a UAV scheduling method, system and readable storage medium based on particle swarm algorithm optimization. Background technique [0002] The history of research and development of drones can be traced back to the 1920s. At first, drones were mostly used for military training and actual combat; after nearly a hundred years of research and development, drones have entered the homes of ordinary people, not only for military, It has aroused strong repercussions in the civilian market, and has great development prospects in the commercial field. With the continuous expansion of the use of drones, the environmental factors they face during flight are becoming more and more complex, and the types of tasks they perform are also diverse; model. On the other hand, UAVs are subject to energy supply, and may be affected by changing environments and various types of...

AI Technical Summary

Problems solved by technology

On the other hand, UAVs are subject to energy supply, and may be affected by changing environments and various types of obstacles during flight. If there is no correct and efficient scheduling instruction to guide the flight, it is very likely to be "lost" or due to battery life. The problem caused the task to fail

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