无人机技术在公共交通领域的研究
Research on Drone Technology in the Field of Public Transportation
李波 1贺长春 1董志敏 2郝巧梅 1王琪1
作者信息
- 1. 鄂尔多斯职业学院 内蒙古 鄂尔多斯 017004
- 2. 阿拉善职业技术学院 内蒙古 阿拉善 750306
- 折叠
摘要
针对无人机执行电力巡线任务时需要进行人工飞行操控,且无人机控制过程繁琐,巡线效率不高的问题,本文无人机应用在公共交通领域,研究无人机巡线航迹规划方法及其系统,实现无人机自动巡线.本文阐述的无人机巡线航迹规划方法及其系统,效果较好,可以对无人机巡线过程中的飞行轨迹进行自动规划,无需人工进行飞行操控,进而可以大幅度提高电力设施巡线任务的工作效率,降低执行该任务的人员成本.巡线航迹规划方法能够对巡视过程中不同类型的电力设施采用不同的巡视策略.实现对目标区域内所有电力设施的全覆盖,准确全面完成所有目标区域的巡视任务,对所有电力设备进行全方位巡查和准确采像,不留监视死角.规划的路径不仅实现了对整个目标巡线区域的全方位巡视,还设计出了最佳的飞行路径,飞行路径的航程较短,这样可以有效缩短巡视时间,提高巡线效率,也具有更好的节能环保效益.
Abstract
In view of the problem that UAV needs to carry out manual flight control when performing power line inspection tasks,and the UAV control process is cumbersome and the line patrol efficiency is not high,this paper applies UAV in the field of public transportation,studies the UAV line patrol track planning method and its system,and realizes the automatic line patrol of UAV.The UAV line patrol track planning method and system described in this paper have good results,which can automatically plan the flight trajectory in the process of UAV line patrol without manual flight control,and then can greatly improve the work efficiency of power facilities line patrol task and reduce the personnel cost of performing the task.The patrol track planning method can adopt different inspection strategies for different types of power facilities during the inspection process to realize the full coverage of all power facilities in the target area,accurately and comprehensively complete the inspection tasks of all target areas,and carry out all-round inspection and accurate image collection of all power equipment,leaving no blind spots for monitoring.The planned path not only realizes the all-round inspection of the entire target patrol area,but also designs the best flight path,and the flight path has a short range,which can effectively shorten the inspection time,improve the patrol efficiency,and also have better energy saving and environmental protection benefits.
关键词
无人机/巡线/航迹规划/交通Key words
UAV/Patrol Line/Track Planning/Traffic引用本文复制引用
出版年
2024
NETL
NSTL
万方数据