Extracting node center coordinates of point clouds in reticulated shell structure using least squares method
To address the difficult measurement and low processing efficiency of node coordinates in the reticulated shell structure,an algorithm for extracting node center coordinates was proposed based on scanning point clouds in the reticulated shell structure.Firstly,point cloud data of the reticulated shell structure was collected using the three-dimensional laser scanning technology and was preprocessed.Subsequently,based on the design model,local point cloud segmentation and plane fitting of the shell nodes were performed on the initial model.The attributes and characteristics of the fitted planes were determined,and the normal vector directions on the sides were corrected.Finally,the accurate center coordinates of the nodes in the reticulated shell structure were determined through the utilization of spatial constraint relationships and the least squares algorithm.Taking the Sanya International Duty Free City project as an example,the results demonstrated that the proposed method yielded a mean deviation of 2.89 mm between the central coordinates obtained through this method and the Total Station measurements.Moreover,its efficiency was nearly 4 times higher than that of the traditional method.This significant advancement enhanced the accuracy and efficiency of the node center coordinate extraction in the reticulated shell structure,offering accurate data support for subsequent tasks,including structural construction deviation review,deepened design and processing of curtain wall panels.
point cloudreticulated shell structureleast squares methodnode center coordinate extraction
NETL
NSTL
万方数据
