基于无人机影像的煤场工程量监测分析

Monitoring and Analysis Method of Yard Construction Quantity Based on UAV Image

针对目前煤场采挖量体积计算效率低下及精度较低的问题,提出了一种基于无人机影像序列的大型露天煤场采挖量计算方法。首先利用无人机获取煤场采挖前及采挖后的影像序列,采用多视图立体视觉重建算法对其进行三维重建,获取两个时期的煤堆三维点云信息。针对不同时期同一工程地点的点云数据,进行数据配准,然后对配准后数据中采挖区域进行精确定位和边界确定,并设计重建算法对采挖区域的点云进行网格重建,进而实现对采挖区域的分析、计算与监测。实验结果表明,该方法可准确定位采挖区域,精确计算不同区域采挖量,监测煤堆总体积变化。

Aiming at the problem of low efficiency and low accuracy in the volume calculation of coal yard excavation, a scheme for calculating the mining quantity of large open-pit coal yard based on UAV image sequence is proposed. First, the unmanned aerial vehicle is used to obtain the image sequences before and after mining the coal field, followed by the multi-view stereo vision reconstruction technique to reconstruct the three-dimensional point cloud of the two periods. Due to the point clouds acquired from the same engineering site in different periods, we can register the point clouds together and locate the mining area and the boundary precisely. Finally, the point cloud of the mining area can be reconstructed to a mesh model, so as to facilitate the analysis, calculation and monitoring of the mining area. The experimental results show that the presented scheme can accurately locate the mining area, calculate the mining volume, and monitor the overall volume change of coal stacking.