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Cluster waypoint task-adaptive unmanned aerial vehicle cluster organization method and system

A technology for organizing systems and unmanned aerial vehicles, which is applied in the field of unmanned aerial vehicle swarm organization methods and systems, can solve the problems of swarm task execution failure and low reliability of the scheme, and achieves low loss cost of unmanned aerial vehicles, low safety cost, and increased reliability. The effect of matching

Pending Publication Date: 2018-11-06
GUANGZHOU EHANG INTELLIGENT TECH
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Problems solved by technology

The current cluster organization method generally adopted is: randomly select one of the existing drone clusters to perform the current cluster task, and do not check the matching degree between the drone cluster and the current cluster task to be executed, which may cause The execution of the cluster task fails, and the reliability of the solution is not high

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  • Cluster waypoint task-adaptive unmanned aerial vehicle cluster organization method and system
  • Cluster waypoint task-adaptive unmanned aerial vehicle cluster organization method and system
  • Cluster waypoint task-adaptive unmanned aerial vehicle cluster organization method and system

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Embodiment Construction

[0036] To make the objectives, technical solutions, and advantages of the implementation of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0037] It should be noted that the described embodiments are a part of the embodiments of the present invention, rather than all of the embodiments, and the embodiments in the present application and the features in the embodiments can be combined with each other if there is no conflict. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0038] The following is one of the embodiments of the UAV cluster organization method adapted to the cluster waypoint task provided by the present invention, which is the first...

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Abstract

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a cluster waypoint task-adaptive unmanned aerial vehicle cluster organization method and system. The method specifically comprises the following steps of: firstly obtaining a cluster waypoint task by a central control system; selecting a schedulable unmanned aerial vehicle cluster from various unmanned aerial vehicle cluster according to a cluster scheduling function demand, or selecting certain or all of a plurality of unmanned aerial vehicle clusters by the central control system according to the cluster scheduling function demand so as to temporarily build a schedulable unmanned aerial vehicle cluster; and finally sending the cluster waypoint task to a master control unmanned aerial vehicleof the unmanned aerial vehicle cluster. According to the method and system, before unmanned aerial vehicles are dispatched to execute a cluster task, an unmanned aerial vehicle cluster most suitablefor executing the task is obtained via a selection or building manner according to the cluster scheduling function demand, so that the matching degree between the unmanned aerial vehicle and the to-be-executed task is increased and then the task execution is smoother and more reliable.

Description

Technical field [0001] The present invention relates to the technical field of drone control, in particular to a drone cluster organization method and system adapted to cluster waypoint tasks. Background technique [0002] The UAV cluster is composed of multiple UAVs and can be used for tasks such as formation transportation and aerial performances. Before dispatching drone clusters to perform cluster tasks, it is necessary to organize drone clusters. Currently, the commonly adopted cluster organization method is: randomly select one of the existing drone clusters to perform the current cluster task, and do not check the matching degree between the drone cluster and the cluster task currently to be performed, which may cause The cluster task execution failed, and the reliability of the solution was not high. Summary of the invention [0003] (1) Purpose of the invention [0004] In order to solve at least one of the above-mentioned defects in the prior art solutions, increase the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06312
Inventor 胡华智刘畅
Owner GUANGZHOU EHANG INTELLIGENT TECH
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