风电场5G无人机巡检技术与路径优化设计

5G unmanned aerial vehicle inspection technologyand path optimization design for wind farms

考虑到无人机在风电场巡检中的应用优势及其巡检路径设计的必要性,提出了一种用于风电场巡检的5G无人机及其路径设计。无人机可利用无人机平台搭载测量型可见光相机、红外相机、三维激光雷达等任务设备对风机本体和集电线路进行飞行巡检。采用移动边缘计算(MEC)算法设计巡检方案,使无人机可以进行多架次的风电机组检测,采用2种传感数据卸载模式,在确保数据处理精度的同时,联合优化无人机巡检航迹与计算操作,缩短巡检时间。同时考虑到风力的影响,设计了一种低复杂度的小波变换例行巡视航迹和无人机调度方法,通过寻找最优卸货轨迹和计算卸货参数,得到最优巡检方案。

Considering the application advantages of Unmanned Aerial Vehicle(UAV)in wind farm inspection and the necessity of patrol path design,a 5G UAV for wind farm inspection and its path design were proposed.The UAV can use the UAV platform with measuring visible light camera,infrared camera,three-dimensional lidar and other mission equipment to inspect the fan body and power collection line.The mobile edge computing(MEC)algorithm was used to design the inspection scheme,so that the UAV could carry out multi-sorties of wind turbine inspection.Two sensing data unloading modes were adopted to ensure the accuracy of data processing,and at the same time,the UAV patrol track and calculation operation were jointly optimized to shorten the inspection time.In addition,considering the influence of wind power,a low-complexity wavelet transform routine inspection track and UAV scheduling method was designed,and the optimal inspection scheme was obtained by finding the optimal unloading trajectory and calculating the unloading parameters.