| Title |
Progress Measurement of Structural Frame Construction using Point Cloud Data |
| Authors |
Kim, Ju-Yong ; Kim, Sanghee ; Kim, Gwang-Hee |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2024.25.3.037 |
| Keywords |
3D Laser Scanning Technology; Building Information Modeling (BIM); Identify Member; Progress Measurement; Smart Construction Technology |
| Abstract |
Recently, 3D laser scanning technology, which can collect accurate and quick information on phenomena, has been attracting attention among smart construction technologies. 3D laser scanning technology can obtain information most similar to reality at construction sites. In this study, we would like to apply a new member identification method to an actual building and present the possibility of applying point cloud data, which can be collected using 3D laser scanning technology, to measuring progress at construction sites. In order to carry out the research, we collected location information for component identification from BIM, set a recognition margin for the collected location information, and proceeded to identify the components that make up the building from point cloud data. Research results We confirmed that the columns, beams, walls, and slabs that make up a building can be identified from point cloud data. The identification results can be used to confirm all the parts that have been completed in the actual building, and can be used in conjunction with the unit price of each part in the project BOQ for prefabricated calculations. In addition, the point cloud data obtained through research can be used as accurate data for quality control monitoring of construction sites and building maintenance management. The research results can contribute to improving the timeliness and accuracy of construction information used in future project applications. |