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Rapid safety monitoring and analysis of foundation pit construction using unmanned aerial vehicle images

机译:无人空中车辆图像快速安全监测与基坑施工分析

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摘要

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.
机译:随着城市地下空间的大规模开发和建设,基础坑施工的安全监测越来越大。目前通过具有复杂设备的手动现场测量通常通过手动测量来实现基础坑的现行安全监测,并依赖于复杂的方法,这些方法是劳动密集,耗时,并且往往会忽略由于严重的局部变形引起的意外坍缩的风险。为了解决这个问题,本研究开发了使用无人机(UAV)图像的基础坑施工的快速安全监测和分析方法。建议将基坑坡度的安全倾斜角度作为安全监测指标。将由UAV捕获的基础坑的图像作为输入,进行点云重建和表面配件。引入了局部变形分布以评估基坑的局部安全状态。实验结果验证了该方法的潜在优势。

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