【摘要】 通过无人机电力线巡检试验,提出应用GPS、GLONASS和BDS多源融合的PPP技术并验证其生成的POS数据和三维点云数据应用于高压电力线巡检的可行性。采用不同策略的POS数据融合与解算,分析了基站差分POS数据与单GPS系统下的POS数据、GPS、GLONASS和BDS多系统融合下的POS数据精度;分别用不同策略的POS数据生成三维点云,并统计分析与基站差分点云数据的偏差距离和分布情况。研究发现:单GPS所生成的点云数据,距离偏差较大在20～40 cm左右,且分布不均匀,偏差距离波动较大,不能满足电力线精细巡检的要求;多源融合的PPP技术所生成的点云数据,与基站差分下的点云数据距离偏差在X方向10 cm,Y方向6 cm,Z方向为4 cm,点云数据分布均匀,稳定,基本满足电力线巡检要求,且点云数据也可用于电力线的精细巡检。更多还原

【Abstract】 Through the power line test,this paper presents the feasibility of applying the PPP technology of GPS,GLONASS and BDS multi-source fusion to verify the application of the generated POS data and 3 D point cloud data to the high voltage power line inspection.The POS data fusion and calculation of different strategies are used to analyze the POS data accuracy of the POS data,GPS,GLONASS and BDS multi-systems under the base station differential POS data and the single GPS system.The 3 D point cloud is generated by the POS data of different strategies,and the deviation distance and distribution of differential point cloud data are statistically analyzed.Finally,it is concluded that the point cloud data generated by the single GPS is about 20-40 cm,and the distribution is not uniform and the deviation distance fluctuates greatly.It can not meet the requirement of the fine inspection of the power line.The point cloud data generated by the PPP technology of multi-source fusion and the distance deviation from the point cloud data under the base station difference are 10 cm in the direction of X,The direction of Y is 6 cm and the direction of Z is 4 cm.The distribution of point cloud data is uniform and stable,which basically meets the requirements of the power line inspection,and the point cloud data can also be used for the fine inspection of the power line.更多还原