论文标题
使用智能手机对机械施工管道的自动数字文档和进度报告
Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones
论文作者
论文摘要
该手稿为使用智能手机在建筑项目中的机械管道自动化数字文档和进度报告提供了一个新的框架。提出了新的方法来优化视频框架速率以实现所需的图像重叠；定义3D重建的度量标准；从点云中提取管道；并根据其计划的数量半径对管道进行分类。评估了所提出方法在实验室（六个管道）和建筑工地（58个管道）条件中的有效性。据观察，所提出的度量标准定义达到了亚毫米级半径估计的精度。实验室和现场实验都表明，增加定义的图像重叠改善了点云质量，管道分类质量以及管道半径/长度估计。总体而言，发现使用至少95％的图像重叠的施工位点，可以分别实现管道分类F量，半径估计精度和长度估计百分比误差分别为96.4％，5.4mm和5.0％。
This manuscript presents a new framework towards automated digital documentation and progress reporting of mechanical pipes in building construction projects, using smartphones. New methods were proposed to optimize video frame rate to achieve a desired image overlap; define metric scale for 3D reconstruction; extract pipes from point clouds; and classify pipes according to their planned bill of quantity radii. The effectiveness of the proposed methods in both laboratory (six pipes) and construction site (58 pipes) conditions was evaluated. It was observed that the proposed metric scale definition achieved sub-millimeter pipe radius estimation accuracy. Both laboratory and field experiments revealed that increasing the defined image overlap improved point cloud quality, pipe classification quality, and pipe radius/length estimation. Overall, it was found possible to achieve pipe classification F-measure, radius estimation accuracy, and length estimation percent error of 96.4%, 5.4mm, and 5.0%, respectively, on construction sites using at least 95% image overlap.
