基于点云数据的岩体结构面信息提取方法研究  

Research on the extraction method of rock mass structure plane information based on point cloud data

作　　者：马金城 程应旦 马飞跃 杜兆龙 Ma Jincheng;Cheng Yingdan;Ma Feiyue;Du Zhaolong(Nuclear Industry Huzhou Survey,Planning,Design and Research Institute Co.,Ltd.,Huzhou Zhejiang 313000,China)

机构地区：[1]核工业湖州勘测规划设计研究院股份有限公司,浙江湖州313000

出　　处：《山西建筑》2025年第8期174-178,共5页Shanxi Architecture

摘　　要：文中首先基于无人机三维点云数据,建立边坡三维模型,采用Python编程,对点云数据进行处理,得到三维岩质边坡结构面产状等信息并绘制赤平投影图,有效解决了传统结构面信息调查方法存在的工作烦琐、操作难度大的特点。然后借助一典型空间体和一个实际工程案例,对方法的准确性和高效性进行了验证与分析。研究结果表明,基于无人机点云模型,采用机器学习等处理手段能够轻松高效得到岩体结构面产状等信息,可以为岩质边坡稳定性分析提供新思路和新方法。Firstly,based on the three-dimensional point cloud data of the UAV,the three-dimensional model of the slope was established,and the point cloud data was processed by Python programming,which could obtain the information such as the occurrence of the three-dimensional rock slope structural plane and draw the Chiping projection map,which effectively solved the characteristics of cumbersome and difficult work in the traditional structural plane information investigation method.Then,with the help of a typical space volume and an actual engineering case,the accuracy and efficiency of the method are verified and analyzed.The results show that based on the UAV point cloud model,machine learning and other processing methods can easily and efficiently obtain the occurrence of rock mass structure.The research results provide new ideas and methods for the stability analysis of rock slopes.

关 键 词：岩体结构面 点云数据 产状 PYTHON 机器学习 

分 类 号：TU195[建筑科学—建筑理论]