点云数据下的矿山巷道三维建模

Three-dimensional Modelling of Mine Laneways Under Point Cloud Data

基于三维激光扫描技术获取数据点云,对煤矿巷道进行精细三维建模。研究了狭长型海量巷道点云数据精细建模问题,使用Delaunay生长算法引入边、角等约束条件,设置不同三角网边长阈值对点云数据分析处理,在保证模型细节前提下选取合适的边长阈值完成巷道整体构网,实现了巷道实体对象的全景建模并对模型精度进行了分析。借助某煤矿点云数据验证了三维激光技术在巷道建模的可行性,为数字化矿山建设提供准确精细的数字化模型。

Based on three-dimensional laser scanning technology to obtain data point cloud,fine three-dimensional modelling of coal mine roadway is carried out.This paper studies the fine modelling of point cloud data in long and narrow roadways.Delaunay growth algorithm is used to introduce constraints such as edge and angle.Different triangular network edge length thresholds are set for point cloud data analysis and processing.Under the premise of guaranteeing model details,appropriate edge length thresholds are selected to complete the whole network of roadways,and the solid objects of roadways are realized.The panoramic model is built and the accuracy of the model is analyzed.The feasibility of three-dimensional laser technology in roadway modelling is verified by point cloud data of a coal mine,which provides accurate and fine digital model for digitized mine construction.