A multi-UAV automatic operation scheduling system and scheduling method

Abstract

The invention discloses a multi-UAV automatic operation scheduling system and scheduling method, wherein the scheduling system includes: a scheduling server, several regional scheduling centers, multiple drones, drone fields and communication stations; the system first accepts user input According to the initial information of the route, the unmanned aerial vehicle deployed in the most suitable position is automatically selected to fly the route, which overcomes the technical disadvantages of the existing dispatching system that can only target a specific UAV; fully in the dispatching method Taking into account various factors such as high-rise buildings, crowd gathering areas, communication blocking and interference in the city, the entry and departure routes of unmanned aerial vehicles, and emergency backup points, etc., it is configured from multiple perspectives such as time priority, safety priority, and familiar road priority. There are four routes for users to choose, to meet the diverse needs of customers for multi-UAV automatic scheduling solutions.

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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