Multi-unmanned aerial vehicle automatic operation scheduling system and scheduling method

Abstract

The invention discloses a multi-unmanned aerial vehicle automatic operation scheduling system and scheduling method, and the system comprises a scheduling server, a plurality of regional scheduling centers, a plurality of unmanned aerial vehicles, an unmanned aerial vehicle field, and a communication station. The system firstly receives initial information input by a user, and automatically selects an unmanned aerial vehicle deployed at the most appropriate position according to a route to fly the route, so that the technical defect that an existing scheduling system can only aim at a certain specific unmanned aerial vehicle is overcome; in the scheduling method, various factors such as high-rise buildings, crowd gathering areas, communication shielding and communication interference in cities, unmanned aerial vehicle entering and leaving routes, emergency landing preparation points and the like are fully considered, a plurality of routes are configured and generated at the same time from various angles such as time priority, safety priority, familiar road priority and the like to be selected by users, and diversified demands of clients on multi-unmanned aerial vehicle automatic scheduling schemes can be satisfied.

Description

technical field [0001] The invention relates to a dispatching method, in particular to a multi-UAV automatic operation dispatching system and a dispatching method; it belongs to the technical field related to UAV control. Background technique [0002] Drones are emerging technological products of the information age. With its advantages of fast and flexible time and space, it can effectively assist relevant departments to comprehensively, timely, in-depth, and round-the-clock grasp of the scene of the incident and even handle it by itself, which can effectively improve work efficiency and reduce economic losses and casualties. The domestic and foreign research on route planning in complex environments is still relatively preliminary, and a complete and systematic UAV dynamic flight scheduling system and planning method have not yet been formed. [0003] The existing route planning methods for multi-rotor drones generally still rely on manual planning, connecting the waypoin...

AI Technical Summary

Problems solved by technology

The research on route planning in complex environments at home and abroad is still relatively preliminary, and a complete and systematic UAV dynamic flight scheduling system and planning method have not yet been formed.

[0003] The existing route planning methods for multi-rotor drones generally still rely on manual planning, connecting the waypoints that the drone must pass through in a straight line, without fully considering the interference of obstacles on the route, avoiding crowded areas, communication Various factors such as control range and safety alternate landing point

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