对接Revit平台的古建点云快速分类研究

Research on rapid classification of ancient building point cloud based on the platform of Revit

点云数据具有可量测、精度高、细节精细和快速获取等特点,为了能够实现利用点云数据构建古建Revit模型,以古建筑的彩色三维激光点云数据为研究对象,提出了古建点云快速自动分类及目标提取的方法。首先,将原始点云转换为栅格数据,通过多层感知机提取出不同尺度下的点特征和全局特征,然后,利用粒子群优化算法对MLP参数进行优化,实现了点云数据的自动分类及提取。最后以Z+F5010C扫描仪采集的某古建的点云数据为试验对象,验证本文算法的可行性和实用性,为实现古建筑Revit参数化建模,进而实现基于信息化平台统一管理打下基础。

Point cloud data has the characteristics of measurability,high accuracy,fine details and fast acquisition.In order to build the ancient building model with point cloud data,with the color 3D laser point cloud data of ancient buildings as the research object,the method of rapid automatic classification and target extraction of ancient building point cloud is proposed.Firstly,the original point cloud is transformed into raster data,and the point features and global features at different scales are extracted by multi-layer perception.Then,the MLP parameters are optimized by particle swarm optimization algorithm,and the automatic classification and extraction of point cloud data are realized.Finally,the point cloud data of an ancient building collected by Z+F5010C scanner is taken as the test object to verify the feasibility and practicability of the algorithm,laying a foundation for realizing the ancient building′s parametric modeling in Revit and realizing the unified management based on the information platform.