UAV flight path planning method for railway lines patrol inspection
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摘要: 目前,铁路线路巡检主要仍由工作人员完成,这种人工检测方法费时费力,效率较低,且很难完成地质灾害区域、悬崖、桥梁等恶劣环境下的铁路线路检测。为了提高铁路检测效率,满足恶劣环境下铁路线路巡检需求,基于无人机、实时动态测量仪、云台、相机等设备搭建了一个铁路巡检平台,用于拍摄铁路线路的实况视频。并基于三次样条插值法建立了无人机飞行路径模型,用于规划铁路巡检平台的飞行路径。实验结果表明,使用无人机飞行路径模型生成的无人机飞行路径与铁路线路贴合度较高,证明方法有效。Abstract: At present, the work of railway lines patrol inspection is still completed by the staff. The manual detection method is time-consuming, labor-intensive and low efficiency, and it is difficult to complete the railway line detection in harsh environments such as geological disaster areas, cliffs and bridges. In order to improve the efficiency of railway lines patrol inspection and meet the needs of the inspection in harsh environments, this paper built a railway lines patrol inspection platform based on unmanned aerial vehicle(UAV), real time kinematic(RTK) measuring instrument, gimbal, camera and other equipment for shooting live video of railway lines. Based on the cubic spline interpolation method, a UAV flight path model was established to plan the flight path of the platform. Experiments show that the UAV flight path generated by the UAV flight path model has a higher degree of fit to the railway lines, which proves that the method is effective.
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[1] 杨雅琴,李晔,徐鹏. 铁路线路设备人工检查管理系统的设计与实现[J]. 铁路计算机应用, 2018, 27(12):6-9. [2] Pall E, Mathe K, Tamas L, et al. Railway track following with the AR.Drone using vanishing point detection[C]//IEEE International Conference on Automation Quality and Testing Robotics, 2014:1-6.
[3] 邓荣军,王斌,熊典,等. 基于遗传算法的输电线路无人机巡检路径规划[J]. 计算机测量与控制, 2015, 23(4):1299-1301. [4] 王梦茹,杨力,孙聃石,等. 低空摄影测量无人机航迹规划的设计与实现[J]. 测绘与空间地理信息, 2016(10):110-113. [5] 魏潇龙,姚登凯,戴喆,等. 基于路径规划的无人机飞行冲突解脱技术[J]. 火力与指挥控制, 2016, 41(10):48-54. [6] 王锐,王柯,徐晓刚,等. 输电线路无人机巡检地面测控站及运输保障系统设计[J]. 广东电力, 2014(2):87-92. [7] 严隽耄,傅茂海. 车辆工程[M]. 北京:中国铁道出版社, 2011. [8] 张志勤,宋元胜. 城际铁路最大坡度研究[J]. 高速铁路技术, 2011, 2(1):8-11.
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