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http://dx.doi.org/10.7848/ksgpc.2021.39.5.343

Generation of 3D Design Data using Laser Scanning Data  

Park, Joon Kyu (Dept. of Civil Engineering, Seoil University)
Lee, Keun Wang (Dept. of the Multimedia Science, Chungwoon University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.39, no.5, 2021 , pp. 343-349 More about this Journal
Abstract
In The process from design to construction in the existing construction work was less efficient due to the contradictory approach of identifying the 3D state in the plan view and the repeated generation of surveys, floor plans, drawings. Accurate 3D design data is essential for smart construction. However, most of the existing related studies have focused on explaining the development method and main functions of equipment or improving the productivity of smart construction. Therefore, in this study, the utility of 3D design model generation for smart construction and construction survey using 3D laser scanner was evaluated. Plane and vertical road alignment were created using the specifications of the road. The generated road alignment was created as a three-dimensional corridor design using cross-sections at intervals of 20m. In addition, it was possible to create a DTM (Digital Terrain Model) using a digital map and effectively create a 3D design model for the study area through overlapping. Construction survey using a 3D laser scanner showed accuracy within 10cm as a result of the accuracy evaluation. These results proved that construction surveying using a 3D laser scanner is possible because it satisfies the acceptable accuracy of the relevant regulations modeling of target areas using 3D design and construction survey using 3D laser scanner can be a way to address shortcomings of existing GNSS (Global Navigation Satellite System) methods. And accurate 3D data will be used as essential data as basic data for smart construction.
Keywords
3D Design; 3D Laser Scanner; Accuracy Analysis; Construction Survey; Smart Construction;
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  • Reference
1 Singapore Goverment. https://www.nrf.gov.sg/programmes/virtual-singapore (accessed on 20th August 2021).
2 Hong, S.C., Chung, T.I., Park, J.M., amd Shin, H.S. (2019), Research on Development of Construction Spatial Information Technology, using Rover's Camera System, Journal of the Korea Academia-Industrial cooperation Society, Vol. 20, No. 7, pp.630-637. (in Korean with English abstract)   DOI
3 Im, D.H., Yun, H.C., Kim, S.K, and Seo, J.W. (2019), A Roadmap Establishment for the Acceptance of Land Development Earthwork Construction Automation Technology, Journal of the Korean Society of Civil Engineers, Vol. 39, No. 6, pp.893-901. (in Korean with English abstract)   DOI
4 Lee, J.N., Kim, I.H., Choi, J.S., and JINJIN (2019), Case Study of Visualization based on BIM in China Construction, Korean Journal of Computational Design and Engineering, Vol. 24, No. 4, pp.402-410. (in Korean with English abstract)   DOI
5 The National Law Information Center. http://www.law.go.kr/(accessed on 19th August 2021)
6 GOV.UK. https://www.gov.uk/government/publications/construction-2025-strategy (accessed on 20th August 2021).
7 Hwang, J.B., Kim, J.W., Chi, S.H., and Seo, J.O. (2019), Automated Training Database Development through Image Web Crawling for Construction Site Monitoring, KSCE Journal of Civil and Environmental Engineering Research, Vol. 39, No. 6, pp.887-892. (in Korean with English abstract)
8 Japan Ministry of Land, Infrastructure and Tourism. https://www.mlit.go.jp/en/index.html/(accessed on 19th August 2021).
9 Lee, D.S. and Kim, G.H. (2021), Smart Quality Inspection Scheme for Construction Project Using 3D Scanning Technology, Journal of the Korea Institute of Building Construction, Vol. 20, No. 2, pp.191-198. (in Korean with English abstract)   DOI
10 Shim, S.B. and Choi S.I. (2019), Development on Identification Algorithm of Risk Situation around Construction Vehicle using YOLO-v3, Journal of the Korea Academia-Industrial cooperation Society, Vol. 20, No. 7, pp.622-629. (in Korean with English abstract)
11 Chang, C.K. (2020), Positive Discrimination Policy in U.S. Construction Industry and Its Implications, Journal of the Korea Academia-Industrial cooperation Society, Vol. 21, No. 4, pp.285-292. (in Korean with English abstract)
12 Hong, S.H., Yeo, C.J., and Yu, J.H. (2017), Automation of Information Extraction from IFC-BIM for Indoor Air Quality Certification, Korean journal of construction engineering and management, Vol. 18, No. 3, pp.63-73. (in Korean with English abstract)   DOI