多方向阈值下的装配式建筑构件吊装施工场景三维重建方法OACSTPCD

In order to improve the safety of component hoisting construction,this study explores a three-dimensional reconstruction method for prefabricated building component hoisting construction scene under multi-directional threshold.This method uses a 3D laser scanner to obtain scene point cloud data,uses the minimum curvature region growth method for scene segmentation,and uses a random sampling consistency algorithm for image fine segmentation to obtain a set of several disjoint planar point cloud regions.Using the moving least squares method for surface fitting,a three-dimensional parameter optimization model for construction scenes is established.By improving the sparrow search algorithm to solve the model,the optimization results of 3D model parameters are obtained,and the iterative reconstruction of the construction scene of prefabricated building component hoisting is realized.The experimental results show that this method can effectively collect point cloud data from component lifting construction scenes and achieve high-precision 3D reconstruction of construction scenes.