Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Rapid safety monitoring and analysis of foundation pit construction using unmanned aerial vehicle images
Abstract With the large-scale development and construction of urban underground spaces, the safety monitoring of foundation pit construction has gained much attention. Current safety monitoring of foundation pits is often achieved through manual onsite measurements with complex equipment and relies on complicated methods, which are labour intensive, time consuming, and tend to ignore the risk of accidental collapses caused by serious local deformation. To address this issue, this study develops a rapid safety monitoring and analysis method for foundation pit construction using Unmanned Aerial Vehicle (UAV) images. The safe inclination angle of the foundation pit slope was proposed as the safety-monitoring index. Taking the images of the foundation pit captured by the UAV as input, point cloud reconstruction and surface fitting were carried out. The local deformation distribution was introduced to evaluate the local safety state of the foundation pit. The experimental results validate the potential advantages of the method.
Highlights A novel method for rapid safety monitoring and analysis of foundation pit construction is proposed. Images of the foundation pit are captured using UAVs at the construction site. Local deformation distribution is introduced for quick evaluation of the local safety state of the foundation pit. A simplification method based on gravity centre density is presented to remove redundant data points. A case study shows a rapid identification of potential local high-risk areas through the method.
Rapid safety monitoring and analysis of foundation pit construction using unmanned aerial vehicle images
Abstract With the large-scale development and construction of urban underground spaces, the safety monitoring of foundation pit construction has gained much attention. Current safety monitoring of foundation pits is often achieved through manual onsite measurements with complex equipment and relies on complicated methods, which are labour intensive, time consuming, and tend to ignore the risk of accidental collapses caused by serious local deformation. To address this issue, this study develops a rapid safety monitoring and analysis method for foundation pit construction using Unmanned Aerial Vehicle (UAV) images. The safe inclination angle of the foundation pit slope was proposed as the safety-monitoring index. Taking the images of the foundation pit captured by the UAV as input, point cloud reconstruction and surface fitting were carried out. The local deformation distribution was introduced to evaluate the local safety state of the foundation pit. The experimental results validate the potential advantages of the method.
Highlights A novel method for rapid safety monitoring and analysis of foundation pit construction is proposed. Images of the foundation pit are captured using UAVs at the construction site. Local deformation distribution is introduced for quick evaluation of the local safety state of the foundation pit. A simplification method based on gravity centre density is presented to remove redundant data points. A case study shows a rapid identification of potential local high-risk areas through the method.
Rapid safety monitoring and analysis of foundation pit construction using unmanned aerial vehicle images
Wu, Jianjie (Autor:in) / Peng, Limei (Autor:in) / Li, Jiawen (Autor:in) / Zhou, Xinyu (Autor:in) / Zhong, Jingbing (Autor:in) / Wang, Cynthia (Autor:in) / Sun, Jun (Autor:in)
11.04.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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