基于三维激光扫描的建筑物平整度检测

Building Flatness Detection Based on 3D Laser Scanning

摘要: 建筑物平整度是衡量施工建设质量的一个重要指标。针对目前可用于大面积自动化检测建筑物平整度的技术较少，人工检测耗时耗力的现状。研究采用了三维激光扫描技术，采集建筑表面点云数据，预处理后基于Matlab平台利用最小二乘方法对墙面数据拟合，通过计算点到拟合平面的距离来计算墙面的平整度。由拟合结果可知，三维激光扫描技术用于检测墙面的平整度有较高的可行性和适用性，取得了较好的精度。结果表明该技术比传统方法速度更快，成本更低。

Abstract: Building flatness is an important indicator to measure the quality of construction. In view of the current situation that there are few technologies available for large-area automatic detection of building flatness, and manual detection is time-consuming and labor-intensive. The research uses 3D laser scanning technology to collect the point cloud data of the building surface. After preprocessing, the least squares method is used to fit the wall data based on the Matlab platform, and the flatness of the wall is calculated by calculating the distance from the point to the fitting plane. It can be seen from the fitting results that the three-dimensional laser scanning technology has high feasibility and applicability for detecting the flatness of the wall, and has achieved good accuracy. The results show that the technique is faster and less expensive than traditional methods.