Automated Construction Progress Monitoring Using Continuous Multipoint Indoor and Outdoor 3D Scanning

Abstract

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.