基于三维激光扫描技术的岩体结构面智能识别方法
Intelligent Identification of Rock Discontinuities Based on Three-Dimensional Laser Scanning Technology
王宇翔 1沈月千1
作者信息
- 1. 河海大学地球科学与工程学院,江苏 南京 211100
- 折叠
摘要
岩体结构面是构成岩体结构并控制岩体稳定性的主要因素,利用三维激光扫描技术获取岩体点云数据,针对传统相似性度量对岩体点云相似性表达单一的问题,提出一种新的相似性度量方法,综合表示数据之间的空间位置差异和方向差异,降低了不同结构面上各点之间的相似性.将此相似性度量作为DBSCAN算法的聚类依据,通过动态的聚类参数对岩体点云进行聚类,得到单个结构面的点云,最后对聚类结果进行改正,实现了岩体结构面的智能识别.将该方法用于沉积岩露头点云,通过结构面产状信息比较算法识别结果与人工识别结果,结果表明:两种算法所得结果基本一致,产状的最大偏差在2°以内,满足工程应用需求,可为同类应用提供理论基础和应用参考.
Abstract
Rock mass structure mainly comprises rock discontinuities,which control rock mass stability.In this study,a new similarity measurement method for obtaining rock mass point cloud data using three-dimensional(3D)laser scanning technology is proposed to address the limitation of traditional similarity metrics in expressing the similarity of rock point clouds.This method comprehensively represents the spatial position and directional differences between data points,thus reducing the similarity between points on different discontinuities.Using this similarity measurement as the clustering criterion for the DBSCAN algorithm,clustering of rock mass point clouds was performed with dynamic clustering parameters.This process yielded point cloud data for individual discontinuities.Subsequently,the clustering results were corrected,enabling intelligent identification of rock discontinuities.The method was applied to point cloud data from sedimentary rock outcrops,and the results were compared with those obtained using a discontinuities occurrence information comparison algorithm.The findings reveal that the results from the two methods are largely consistent,with the maximum deviation in occurrence being within 2°.This meets the requirements for engineering applications,providing a theoretical foundation and practical reference for similar applications.
关键词
激光雷达/智能识别/密度聚类/相似性度量/岩体结构面Key words
light detection and ranging/intelligent identification/density-based clustering/similarity measurement/rock discontinuities引用本文复制引用
基金项目
国家自然科学基金青年基金(41801379)
江苏省地质工程环境智能监控工程研究中心开放基金(2021-ZNJKJJ-06)
出版年
2024
NETL
NSTL
万方数据