||Automated Construction Progress Monitoring Using Continuous Multipoint Indoor and Outdoor 3D Scanning
||Zoran Pučko and Danijel Rebolj
||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.
|Year of publication:
||Automation, Construction Progress Monitoring, Data Acquisition, 4D Point Cloud, BIM Elements Recognition
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,