| Title |
The Improvement of Point Cloud Data Processing Program For Efficient Earthwork BIM Design |
| Authors |
Kim, Heeyeon ; Kim, Jeonghwan ; Seo, Jongwon ; Shim, Ho |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2020.21.5.055 |
| Keywords |
Earthwork; BIM; Point Cloud Data(PCD); Loading Time; Construction Productivity |
| Abstract |
Earthwork automation has emerged as a promising technology in the construction industry, and the application of earthwork automation technology is starting from the acquisition and processing of point cloud data of the site. Point cloud data has more than a million data due to vast extent of the construction site, and the processing time of the original point cloud data is critical because it takes tens or hundreds of hours to generate a Digital Terrain Model (DTM), and enhancement of the processing time can largely impact on the efficiency of the modeling. Currently, a benchmark program (BP) is actively used for the purpose of both point cloud data processing and BIM design as an integrated program in Korea, however, there are some aspects to be modified and refined. This study modified the BP, and developed an updated program by adopting a compile-based development environment, newly designed UI/UX, and OpenGL while maintaining existing PCD processing functions, and expended compatibility of the PCD file formats. We conducted a comparative test in terms of loading speed with different number of point cloud data, and the results showed that 92 to 99% performance increase was found in the developed program. This program can be used as a foundation for the development of a program that reduces the gap between design and construction by integrating PCD and earthwork BIM functions in the future. |