基于点云的钢结构模块分层建造误差检测方法
Error-Detection Method for Layered Construction of Steel Structure Modules Based on Point Clouds
赵天任 1章青 1李朋飞 1王亚泽1
作者信息
- 1. 天津大学机械工程学院,天津 300350
- 折叠
摘要
针对海洋油气模块分层建造过程中,各层钢结构由于其制造误差难以顺利对接安装的问题,提出了一种基于点云的对接误差检测方法,首先将相邻两层钢结构的实际扫描点云与相应的建筑信息模型配准,再通过特征提取来计算对接误差.这种自动化的方法可以在实际对接安装前评估对接可行性,为及时修正结构提供参考,减少返工的可能性,相较于传统的人工质量检测,可以有效地提高检测的效率与精度.最后,对两组模拟数据进行了实验,验证了该方法的准确性.此外,结合对接结构特点,提出了一种基于五平面集合的粗配准算法.实验结果表明,所提粗配准算法相较于其他四种配准算法,有效提高了配准精度.
Abstract
In layered construction of offshore oil and gas modules,smooth docking and installation of steel structures on each layer are difficult due to manufacturing errors.This study proposes a method for detecting docking errors based on point clouds.This involves first registering the actual scanned point clouds of adjacent steel structures with their corresponding building information modeling models,and then calculating the alignment errors through feature extraction.This automated approach enables the docking feasibility to be evaluated prior to actual installation,thereby providing references for timely structural adjustments and reducing the possibility of rework.Compared with the traditional manual quality inspection method,our approach can effectively enhance detection efficiency and accuracy.We conducted experiments using two sets of simulated data to validate the accuracy of the proposed method.In addition,considering the characteristics of docking structures,we introduced a coarse registration algorithm based on five-plane sets.Experimental results demonstrate that the proposed coarse registration algorithm significantly enhances alignment accuracy as compared with four other methods.
关键词
测量/钢结构模块/对接误差检测/三维激光扫描/点云配准/建筑信息模型Key words
measurement/steel structure module/docking error detection/three-dimensional laser scanning/point cloud registration/building information model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据