Point Cloud Segmentation Method for Substation Rapid Modeling Based on Digital Twin Technology
Aiming at the problem of low integrity and fidelity of point cloud segmentation results,a rapid modeling point cloud segmentation method for substation based on digital twin technology is studied.The three-dimensional laser scanning technolo-gy is used to collect the substation point cloud data,and the substation point cloud data are preliminarily segment according to the density of characteristic points.The random forest is used to deeply segment the edge point cloud data that are difficult to determine the classification,and the digital twin technology is introduced to realize the rapid modeling of the substation.The experimental results show that the method can preserve the edge contour and texture features of each region of the substation well.The model has high integrity and fidelity,and has excellent rapid modeling effect for single equipment with simple struc-ture and large-scale and complex substation.
digital twinssubstationrapid modelingpoint cloud segmentationfeature extraction
万方数据
维普
