摘要
为精准定位建筑外表缺陷,研究了基于三维激光扫描技术的建筑墙体外表面缺陷无损检测方法。采集建筑墙体信息,配准三维点云建筑墙体数据。选取RANSAC改进算法完成建筑墙体平面特征的提取。将其输入极限学习机中,输出建筑墙体外表面缺陷无损检测结果。实验结果表明,该方法可以有效检测建筑墙体外表面缺陷,实现建筑墙体外表面缺陷的精准定位,提升建筑的全寿命周期。
In order to accurately locate the surface defects of buildings,a nondestructive testing method for external surface defects of building walls based on three-dimensional laser scanning technology is studied.Collect building wall information and register 3D point cloud building wall data.The improved RANSAC algorithm is selected to extract the plane features of building walls.Input it into the limit learning machine and output the nondestructive testing results of the external surface defects of the building wall.The experimental results show that this method can effectively detect the external surface defects of the building wall,realize the accurate location of the external surface defects of the building wall,and improve the life cycle of the building.
作者
李根
LI Gen(Zhonghong Inspection and Certification Group Co.,Ltd.,Shijiazhuang,Hebei 050062,China)
出处
《计算技术与自动化》
2023年第1期62-66,共5页
Computing Technology and Automation
关键词
三维激光扫描技术
建筑墙体外表面
缺陷无损检测
RANSAC改进算法
极限学习机
three dimensional laser scanning technology
external surface of building wall
NDT of defects
improved RANSAC algorithm
extreme learning machine
