摘要
由于高层建筑边缘墙体的配筋齿槽承载力有限,获取长时间序列的沉降信息难度较高,导致边缘墙体轮廓缺陷点检测的标定精度较低,以及检测准确度较低.为此,提出基于建筑信息模型和地理信息系统(BIM+GIS)集成模型的高层建筑边缘轮廓缺陷检测方法.通过高层建筑边缘墙体轮廓的点云数据扫描,基于运动恢复结构算法获取点云数据网格编号,构建BIM+GIS集成模型,结合点云数据网格编号,将其与BIM+GIS集成模型的对应编号配准,求解位置变换参数以最小化配准误差,计算点云数据与BIM+GIS集成模型之间的比值和损伤程度指标,检测高层建筑边缘墙体轮廓缺陷.实验表明,该方法能够准确检测高层建筑边缘墙体轮廓缺陷并标定缺陷点,误差均方根为0.0635,标定精度较好,且检测出的缺陷面积与实际缺陷面积完全一致,进一步验证了检测方法的精度.
Due to the limited load-bearing capacity of the reinforcement teeth on the edge walls of high-rise buildings,it is difficult to obtain long-term settlement information,resulting in low calibration accuracy and detection accuracy of edge wall contour defect points.Therefore,a high-rise building edge contour defect detection method based on BIM+GIS integrated model is proposed.By scanning the point cloud data of the edge wall contour of high-rise buildings,the point cloud data grid number is obtained based on the motion recovery structure algorithm,and a BIM+GIS integrated model is constructed.Combined with the point cloud data grid number which is registered with the corresponding number of the BIM+GIS integrated model,the position transformation parameters are solved to minimize the registration error.The ratio and damage degree index between the point cloud data and the BIM+GIS integrated model are calculated to detect defects in the edge wall contour of high-rise buildings.The experiment shows that this method can accurately detect the contour defects of the edge walls of high-rise buildings and calibrate the defect points,with a root mean square error of 0.0635.The calibration accuracy is good,and the detected defect area is completely consistent with the actual defect area,further verifying the accuracy of the detection method.
作者
何芳
HE Fang(School of Architecture Engineering,Anhui Water Conservancy Technical College,Hefei 231603,China)
出处
《成都大学学报(自然科学版)》
2025年第4期424-429,共6页
Journal of Chengdu University(Natural Science Edition)
基金
安徽省教育厅自然科学研究重点项目(2022AH052299)
安徽省青年骨干教师境内访学研修资助项目(JNFX2023147)。
