基于无人机倾斜摄影的编组站驼峰线路平纵断面测量方法研究OA

Maintaining the good condition of horizontal and vertical profiles of the hump is the fundamental condition for efficient and safe hump operations in marshalling stations.To address the problems of low efficiency,high interference,and difficulty in capturing short-range gradient changes in traditional leveling measurement of hump lines,research on an efficient measurement method for horizontal and vertical profiles of humps based on three-dimensional(3D)reconstruction from unmanned aerial vehicle(UAV)oblique photogrammetry was conducted.Data of the hump area at Xinfengzhen Marshalling Station was collected through UAV oblique photogrammetry,and a real-scene 3D model was constructed in combination with 24 image control points.Railway track digital line graphs(DLGs)were extracted from the model to generate continuous horizontal and vertical profiles and gradient curves.The results show that this method can accurately capture local gradient fluctuations missed by traditional discrete measurements.Under unobstructed conditions,the accuracy for control points reaches 1.8 cm in plane and 0.9 cm in elevation.Comparison with concurrent ground laser scanning point cloud data shows an elevation root mean square error of 2.7 cm,verifying the method's strong measurement consistency.In addition,compared with traditional methods,fieldwork efficiency is significantly improved by 5～10 times.This paper provides technical support for high-frequency and non-contact monitoring of hump lines in marshalling stations and provides a current data basis for dynamic optimization of hump control system parameters.