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Paper: lc3-2017-021
| Paper title: | Automated Construction Progress Monitoring Using Continuous Multipoint Indoor and Outdoor 3D Scanning |
| Authors: | Zoran Pučko and Danijel Rebolj |
| Summary: | In the past few years, a significant progress has been achieved in Automated Construction Progress Monitoring, using a variety of Data Acquisition methods. In this paper, we propose a new method, which shall overcome certain deficiencies recognized in existing methods. The basic principles of our method are, first, to continuously acquire partial As-built point clouds by using multiple helmet-mounted scanners, which scan the indoor and outdoor scenes of locations where work is being done, and record point clouds, locations and time stamps. Second, merging partial, time stamped As-built point clouds to create a complete 4D as-built point cloud of construction in progress. Third, registering elements from the 4D as-built point cloud by using the existing 3D BIM geometry model as the reference model, and generate the 4D as-built BIM. The fourth step is the comparison of 4D as-built BIM and 4D as-designed BIM to identify the differences between both models. From the differences in elements, the time schedule deviations are identified and reported. |
| Type: | normal paper |
| Year of publication: | 2017 |
| Keywords: | Automation, Construction Progress Monitoring, Data Acquisition, 4D Point Cloud, BIM Elements Recognition |
| Series: | jc3:2017 |
| Download paper: | /pdfs/lc3-2017-021.content.04243.pdf |
| Citation: | Zoran Pučko and Danijel Rebolj (2017). Automated Construction Progress Monitoring Using Continuous Multipoint Indoor and Outdoor 3D Scanning. Lean and Computing in Construction Congress (LC3): Volume I Ð Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 105-112, http://itc.scix.net/paper/lc3-2017-021 |
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