Measurement of Work Progress Using a 3D Laser Scanner in a Structural Framework for Sustainable Construction Management

Ju-Yong Kim, Donghoon Lee and Gwang-Hee Kim ()
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Ju-Yong Kim: Department of Architectural Engineering, Kyonggi University, Suwon 16227, Republic of Korea
Donghoon Lee: Department of Architectural Engineering, Hanbat National University, Daejeon 34158, Republic of Korea
Gwang-Hee Kim: Department of Architectural Engineering, Kyonggi University, Suwon 16227, Republic of Korea

Sustainability, 2024, vol. 16, issue 3, 1-18

Abstract: As interest in smart construction technology increases, various smart construction technologies are being used for sustainable construction management. Among these technologies, 3D laser scanning technology stands out for phenomena analysis and monitoring, with various applications being studied for construction management. This study aimed to identify structural members from point cloud data (PCD) obtained through 3D laser scanning and utilize them for the measurement of work progress in construction projects. The method for identifying members is to obtain location coordinate data from the BIM (Building Information Modeling) model of the project and identify the structural member in the PCD by comparing them with the member’s location coordinates from the PCD obtained with a 3D laser scanner. In this study, members such as columns, beams, girders, walls, and slabs among the structural members constructed at construction sites were identified through this process. For identified structural members completed at the actual construction site, the unit price and quantity were taken from the construction project’s bill of quantity (BOQ) database, and then the Earned Value (EV) was calculated. The results of the study suggest that the progress measurement process through BIM and 3D laser scanning, which was previously performed manually, can contribute to faster and more accurate work progress measurement. Ultimately, it is expected that efficient process management will be possible, contributing to the realization of sustainable construction management.

Keywords: 3D laser scanning technology; point cloud data; smart construction technology; sustainable construction management; work progress measurement (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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