Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones
Date
2021-04-27
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
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 13proposed 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% 21image overlap.
Description
Keywords
3D metric reconstruction, smartphone photogrammetry, point cloud pipe detection, mechanical progress reporting, mechanical pipes as-built digital documentation
Citation
Maalek, R., Lichti, D. D., & Maalek, S. (2021). Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones. Automation in Construction. doi:10.1016/j.autcon.2021.103735