Collection and identification management method of ground information of unmanned aerial vehicle cluster

Abstract

The invention relates to a collection and identification management method of ground information of an unmanned aerial vehicle cluster. The method comprises steps of equipment assembling, man-machinegrouping, video collection and flight dynamic adjustment. On the one hand, multiple unmanned aerial vehicles are controlled simultaneously to collect video information and image information continuously and coordinately at designated positions and the video information collection and image information collection operations are not affected, so that the continuity, comprehensiveness and acquisitionaccuracy of data collection are improved effectively; and on the other hand, flexibility and convenience of flight coordination control between the unmanned aerial vehicles are realized effectively and the efficiency and quality of remote data communication and control signal transmission are enhanced, so that the reliability of the data communication and unmanned aerial vehicle control operationwork is improved effectively. Besides, a fault unmanned aerial vehicle can be replaced effectively based on the flight conditions of all unmanned aerial vehicles, so that the anti-fault capability ofthe flight control, data acquisition and data transmission work of the unmanned aerial vehicle cluster is enhanced and the reliability and stability of the overall operation of the system are improved.

Description

technical field [0001] The invention relates to a method for collecting, identifying and managing ground information of an unmanned aerial vehicle cluster, and belongs to the technical field of unmanned aerial vehicles. Background technique [0002] At present, one of the important application fields of UAV equipment is to carry out information collection and other operations within a specific range through cluster flight of UAV equipment. At present, when performing cluster information collection operations on UAVs, traditional flight control is often used. And the information transmission mode, that is, set at least one main control drone in each drone device of the cluster flight, and then set several control node drones in the entire cluster, and then the main control drone will carry out information Colleagues in the collection operation also realize the relay transmission of control signals, and use the drones of each control node to control the flight of the entire fl...

AI Technical Summary

Problems solved by technology

[0002] At present, one of the important application fields of UAV equipment is to carry out information collection and other operations within a specific range through cluster flight of UAV equipment. At present, when performing cluster information collection operations on UAVs, traditional flight control is often used. And the information transmission mode, that is, set at least one main control drone in each drone device of the cluster flight, and then set several control node drones in the entire cluster, and then the main control drone will carry out information Colleagues in the collection operation also realize the relay transmission of control signals, and use the drones of each control node to control the flight of the entire fleet. Colleagues use the main control drone to remotely transmit and feed back the collected information data in the fleet. Although this This control method is relatively mature and has a good control ability for UAV clusters. However, in operation, on the one hand, each UAV in the cluster operates independently of each other during data collection, lacking the necessary collaborative operation capabilities. As a result, it is relatively difficult to process the collected information in the follow-up process. On the other hand, it also leads to relatively poor autonomous operation capabilities of the drones in the fleet, which makes it very easy for the main control drone and the control node drone to fail. When any abnormal working state such as failure occurs, related multiple UAVs will also fail, and the anti-fault ability is low, which seriously affects the stability and reliability of the current UAV cluster flight and information collection operations. At the same time, when the current drone equipment clusters are running, especially the control drones and control node drones, the data processing volume is large during operation, and the flexibility of communication operations is poor, which cannot meet the needs of effective control of the fleet flight and the status of the drone. The need for the best location for data communication operations has also led to relatively poor signal communication reliability and control accuracy during UAV cluster operations. In view of this situation, it is urgent to develop a new mining personnel Management and data communication systems and usage methods to meet the needs of actual use

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