基于多截面特征叠加的管廊沉降监测  

Utility corridor settlement monitoring by laying features from multiple planes

作　　者：刘魁刚[1] 孙长军[1] 张春旺 杜佳鹏 陈嘉宇 LIU Kuigang;SUN Changjun;ZHANG Chunwang;DU Jiapeng;CHEN Jiayu(Beijing Metro Construction Management Co.,Ltd.,Beijing 100068,China;Beijing Urban Rapid Transit Development Co.,Ltd.,Beijing 100068,China;Beijing Urban Construction Exploration&Surveying Design Research Institute Co.,Ltd.,Beijing 100101,China;Department of Construction Management,Tsinghua University,Beijing 100084,China)

机构地区：[1]北京市轨道交通建设管理有限公司,北京100068 [2]北京城市快轨建设管理有限公司,北京100068 [3]北京城建勘测设计研究院有限责任公司,北京100101 [4]清华大学建设管理系,北京100084

出　　处：《清华大学学报(自然科学版)》2025年第1期71-79,共9页Journal of Tsinghua University(Science and Technology)

基　　金：北京市基础设施投资有限公司研究基金(2023-GD-07)。

摘　　要：管廊作为常见的城市基础设施,其安全性对于城市居民极其重要。该研究针对现阶段管廊监测系统效率低、成本高的问题,提出了一种基于计算机视觉技术的高效沉降监测方法。该方法创新性地使用特征平面叠加的方法,采用基于组合缩放因子的空间监测方案,利用不同的像素精度及灵活的截面叠加实现实时沉降监测。以北京市慈云寺桥地下管廊为例对该方法进行验证。实验结果显示:随着监测距离的增加,监测误差能够收敛于特定常数值,该方法可以通过校准的方式实现有效的高精度、高性能监测。环境因素定量监测结果也显示,即使大部分监测截面处在不同温湿度、气压、粉尘的影响下,该方法的监测结果仍具有较高的稳定性。[Objective]The condition of utility corridors,a critical component of urban infrastructure,is crucial for the public safety.However,underground utility corridors often have long routes and traverse complex geological areas,making structural inspections extremely difficult.Disturbances such as ground deformation,loads from the overlying strata and surrounding buildings,and nearby construction activities can cause uneven settlement,leading to severe cracking and leakage.Existing settlement sensing devices,such as stress-strain sensors,fiber-optic sensors,and inspection cameras,are often expensive and complex to install.This study proposes a more efficient and simplified vision-based method for radial monitoring of utility corridor sections using multiple feature planes.[Methods]This study employed a template matching method to track target movements across multiple planes.By tracking predefined targets and detecting circles within the region of interest using the Hough circle transform,spatial changes were recorded.The template matching algorithm determined the spatial position of detection targets in consecutive frames for each monitoring section.The matching algorithm generated a similarity index for the detection target,and by integrating all detection results,a similarity matrix could be obtained.This matrix helped detect target positions across frames by mapping indices of the extrema and scaling factors to the original frames.The proposed method then adjusted and integrated these scaling factors to achieve real-time settlement detection of multiple radial sections.The underground utility corridor beneath the Ciyunsi Bridge in Beijing was used as a case study to validate this method.[Results]The experimental results yield the following major findings:(1)Detection errors increase as sections move further from the camera but stabilize over time.After five days,errors for sections at 15 m and 30 m converge faster,reaching-5 mm and-8 mm,respectively.(2)Clearance convergence errors can mirror settlement trends,with

关 键 词：计算机视觉 沉降监测 隧道工程 地下管廊 

分 类 号：TU196.2[建筑科学—建筑理论]