基于图像点云的多维度隧道初期支护大变形监测研究和应用

张宇; 阳军生; 祝志恒; 唐志扬; 陈维; 傅金阳

doi:10.3973/j.issn.2096-4498.2021.05.013

隧道建设 >

2021 , Vol. 41 >Issue 5: 795 - 802

DOI: https://doi.org/10.3973/j.issn.2096-4498.2021.05.013

研究与探索

基于图像点云的多维度隧道初期支护大变形监测研究和应用

张宇 ,
阳军生 ,
祝志恒 ,
唐志扬 ,
陈维 ,
傅金阳

展开

(1. 广州地铁设计研究院股份有限公司，广东广州 510000； 2. 中南大学土木工程学院，湖南长沙 410075； 3. 云南丽香高速公路投资开发有限公司，云南昆明 650217)

张宇(1993—)，男，辽宁绥中人，2019年毕业于中南大学，建筑与土木工程专业，硕士，助理工程师，现从事隧道与地下工程研究工作。E-mail： zy3218@csu.edu.cn。*通信作者：祝志恒， E-mail： zzh8207@163.com。

网络出版日期: 2021-05-29

收起

Study and Application of a Multidimensional Large Deformation Monitoring Method Based on Image Point Cloud for Primary Support of a Tunnel

ZHANG Yu ,
YANG Junsheng ,
ZHU Zhiheng ,
TANG Zhiyang ,
CHEN Wei ,
FU Jinyang

Expand

(1. Guangzhou Metro Design & Research Institute Co., Ltd., Guangzhou 510000, Guangdong, China; 2. School of Civil Engineering, Central South University, Changsha 410075, Hunan, China; 3. Yunnan Lixiang Expressway Investment Development Co., Ltd., Kunming 650217, Yunan, China)

Online published: 2021-05-29

Fold

摘要

为获取隧道初期支护全方位的变形信息，解决传统监测方法中单点测量、变形监测点稀疏、无可视化效果、难以发现无监测点区域变形等不足，提出一种基于隧道初期支护计算机视觉图像点云的多维度变形监测方法，可实现隧道初期支护三维整体变形监测分析和二维拱顶沉降、周边收敛、典型截面全断面变形监测分析。应用结果表明：所提方法可全面、直观地获取隧道变形特征，是对传统监测方法的补充和完善，对隧道施工监测具有指导意义。变形监测结果可为研究隧道围岩变形规律和特征提供详实的数据资料。

关键词：

隧道初期支护

; 变形监测; 计算机视觉; 图像点云; 拱顶沉降; 周边收敛

本文引用格式

张宇 , 阳军生 , 祝志恒 , 唐志扬 , 陈维 , 傅金阳 . 基于图像点云的多维度隧道初期支护大变形监测研究和应用[J]. 隧道建设, 2021 , 41(5) : 795 -802 . DOI: 10.3973/j.issn.2096-4498.2021.05.013

Abstract

The traditional deformation monitoring method for primary support settlement in tunnels has many disadvantages, such as its dependence on single point measurement, sparse deformation monitoring points, lack of visual effect, and difficulty in finding deformed areas without monitoring points. Therefore, in this study, a computer vision image pointbased multidimensional deformation monitoring method for monitoring the tunnel primary support is proposed. It can be used to monitor and analyze the threedimensional overall deformation of tunnel primary support and twodimensional deformation of the crown settlement, perimeter convergence, and typical fullface deformation. The applicable results of the method show that the proposed method can comprehensively and intuitively obtain the deformation characteristics of the tunnel, and it is a supplement and improvement to traditional monitoring methods and provides a solution for tunnel construction monitoring. The deformation monitoring results can provide detailed data for studying the deformation law and characteristics of tunnel surrounding rock.

Key words： tunnel primary support; deformation monitoring; computer vision; image point cloud; crown settlement; perimeter convergence

Options

文章导航

〈

〉

模态框（Modal）标题

摘要

本文引用格式

Abstract