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.