|Table of Contents|

Study on Adaptive Extraction Method of Rod-like Point Cloud Based on Curvature Frequency Statistics(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年03期
Page:
27-34
Research Field:
物理学
Publishing date:

Info

Title:
Study on Adaptive Extraction Method of Rod-like Point Cloud Based on Curvature Frequency Statistics
Author(s):
Ma Minggang1; Zheng Dehua2; Pan Yueliang1; Li Siyuan2; Zhang Bing1; Hu Chuang2
(1.Zhejiang Ninghai Pumped Storage Co.,Ltd,Ninghai 315600,China)(2.School of Earth Sciences and Engineering,Hohai University,Nanjing 210098,China)
Keywords:
3D laser scanning; construction cavern; anchor point cloud identification; curvature threshold method; curvature frequency histogram
PACS:
P258
DOI:
10.3969/j.issn.1001-4616.2022.03.005
Abstract:
Aiming at the supporting anchor of top cavern during the construction period of underground plant of the pumped storage power station,a method of extracting supporting anchor point cloud from dense point cloud of the cavern collected by laser scanning was proposed. The extraction process of the cave support anchor point cloud extraction is designed for the initial identification of anchor point clouds and the extraction of anchor point cloud essence. Firstly,the acquired dense point cloud data was down-sampled to retain the contour characteristics of supporting anchor,and the point cloud coordinate distribution characteristics of local coordinate system were established. Combined with the actual structural parameters of supporting anchor,the area where suspected point cloud of supporting anchor was initially identified; then the curvature threshold method was used to accurately identify the point cloud of anchor structure,and the point cloud of supporting anchor was classified and extracted. Through the extraction and processing test of supporting anchor point cloud collected by actual project,the results show that supporting anchor point cloud identification method has an accuracy of 100% and the curvature threshold determination method based on curve frequency histogram curve fit has good applicability,which can accurately extract the supporting anchor point cloud with 4 types of characteristics in cavern from the dense point cloud on the rough surface of top cavern,which can provide high-quality and reliable data sources for the accurate registration and deformation analysis of construction cavern point cloud.

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Last Update: 2022-09-15