Geometry and Topology Reconstruction of BIM Wall Objects from Photogrammetric Meshes and Laser Point Clouds
Geometry and Topology Reconstruction of BIM Wall Objects from Photogrammetric Meshes and Laser Point Clouds
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DOI：
10.3390/rs15112856
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
Fan Yang;Yiting Pan;Fangshuo Zhang;Fangyuan Feng;Zhenjia Liu;Ji-yi Zhang;Yu Liu;Lin Li
中科院分区：
文献类型：
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作者：
Fan Yang;Yiting Pan;Fangshuo Zhang;Fangyuan Feng;Zhenjia Liu;Ji-yi Zhang;Yu Liu;Lin Li
作为数字化的基础，建筑信息建模（BIM）技术已广泛应用于建筑、工程、施工和设施管理（AEC/FM）领域。无人机（UAV）倾斜摄影测量和激光扫描已成为越来越流行的数据采集技术，用于测量建筑物并为BIM建模提供原始数据。然而，作为BIM中最重要的建筑结构之一的实体墙的几何和拓扑重建仍然是一项具有挑战性的工作。由于三维点云数据中存在噪声和数据缺失等问题，目前的研究主要集中在从非结构化三维点云数据中分割出墙体平面，并拟合出平面参数，而没有考虑墙体的厚度或三维形状。仅从室内空间获取的点云不足以对外墙进行建模。维护墙对象之间的拓扑关系以满足复杂BIM建模的需要也很重要。因此，在这项研究中，提出了一种几何和拓扑建模方法的基础上摄影测量网格和激光点云的BIM实体墙。该方法使用动态空间划分算法来生成建筑物的足迹和室内平面图。它对内墙段和外墙段进行分类，并推断平行线段以提取墙中心线。拓扑关系的重建和维护，以建立具有一致性的墙对象。在两个数据集上的实验结果，包括摄影测量网格和室内激光点云，表现出超过90%的完整性和正确性，以及厘米级的精度的墙壁表面。
As the foundation for digitalization, building information modeling (BIM) technology has been widely used in the field of architecture, engineering, construction, and facility management (AEC/FM). Unmanned aerial vehicle (UAV) oblique photogrammetry and laser scanning have become increasingly popular data acquisition techniques for surveying buildings and providing original data for BIM modeling. However, the geometric and topological reconstruction of solid walls, which are among the most important architectural structures in BIM, is still a challenging undertaking. Due to noise and missing data in 3D point clouds, current research mostly focuses on segmenting wall planar surfaces from unstructured 3D point clouds and fitting the plane parameters without considering the thickness or 3D shape of the wall. Point clouds acquired only from the indoor space are insufficient for modeling exterior walls. It is also important to maintain the topological relationships between wall objects to meet the needs of complex BIM modeling. Therefore, in this study, a geometry and topology modeling method is proposed for solid walls in BIM based on photogrammetric meshes and laser point clouds. The method uses a kinetic space-partitioning algorithm to generate the building footprint and indoor floor plan. It classifies interior and exterior wall segments and infers parallel line segments to extract wall centerlines. The topological relationships are reconstructed and maintained to build wall objects with consistency. Experimental results on two datasets, including both photogrammetric meshes and indoor laser point clouds, exhibit more than 90% completeness and correctness, as well as centimeter-level accuracy of the wall surfaces.