Unmanned aerial vehicle group task allocation method and system based on cloud and fog hybrid computing and readable storage medium

Abstract

The invention discloses an unmanned aerial vehicle group task allocation method and system based on cloud and fog hybrid computing and a readable storage medium. The method comprises the following steps that unmanned aerial vehicle groups are grouped according to different usage scenarios and execution task levels; the entry and exit point is used by a specific type of unmanned aerial vehicle group, and a fog computing node is created; the cloud computing center selects a corresponding standby unmanned aerial vehicle set to send a task preparation instruction; after the instruction is received, the unmanned aerial vehicle set sends a response data packet to the fog computing node of the entry and exit point to which the unmanned aerial vehicle group belongs; the fog computing node performscomprehensive analysis, determines an unmanned aerial vehicle group executing the task, and allocates the task to each unmanned aerial vehicle to be flied in a targeted manner; and the cloud computing center and the unmanned aerial vehicle group keep a communication state all the time, and task redistribution is performed according to task execution conditions. According to the invention, by useof the cloud-fog hybrid computing technology, the task allocation intelligence and high efficiency of the unmanned aerial vehicle group are realized, and the time delay and the computing pressure of the cloud are effectively reduced.

Description

Technical field [0001] The present invention relates to the technical field of unmanned aerial vehicle scheduling, and more specifically, to an unmanned aerial vehicle group task allocation method, system and readable storage medium based on cloud and fog hybrid computing. Background technique [0002] The history of UAV research and development can be traced back to the 1920s. At first, UAVs were mostly used for military training and actual combat. After nearly a hundred years of R&D, UAVs have now entered the homes of ordinary people, not only for military use. It has aroused a strong response in the civilian market, and has huge development prospects in the commercial field. As the use of drones continues to expand, the environmental factors they face during flight are becoming more and more complex, and the types of tasks they perform are also diverse. At the same time, the increasingly abundant task requirements have also given birth to the collaborative cooperation of drone...

AI Technical Summary

Problems solved by technology

Therefore, a working drone swarm will undoubtedly generate a large amount of information interaction, which will put enormous pressure on cloud computing; on the other hand, battery life is still a problem that the drone industry needs to solve urgently

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