Browse > Article
http://dx.doi.org/10.5659/JAIK.2022.38.4.245

Application of 3D Laser Scanning Technology to the Measurement of Construction Precision in Building Structural Frame Construction  

Kim, Ju-Yong (Dept. of Architectural Engineering, Kyonggi University,)
Kim, Gwang-Hee (Dept. of Architectural Engineering, Kyonggi University,)
Publication Information
Journal of the Architectural Institute of Korea / v.38, no.4, 2022 , pp. 245-253 More about this Journal
Abstract
As the era of the 4th industrial revolution begin, the introduction of smart construction technology in the construction industry is in actively. Among the various 4th industrial revolution technologies, in this study, the 3D laser scanning technology was applied to the structural frame construction to confirm the possibility by analyzing the cases to check the quality, etc. As a result, it was possible to check the spacing of wall rebar, the verticality and thickness of the concrete wall, and the horizontality and thickness of the concrete slab during frame construction. Therefore, when 3D laser scanning is applied to the structural frame work during the construction work, it will be possible to check the condition more quickly and with less manpower, thereby contributing to the improvement of the productivity and quality of the construction work.
Keywords
$4^{th}$ industrial revolution; Smart construction technology; Structural frame work; 3D laser scanning technology;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Shanbari, H. A., Blinn, N. M., & Issa, R. R. (2016). Laser scanning technology and BIM in construction management education. Journal of Information Technology in Construction (ITcon), 21(14), 204-217.
2 Arayici, Y. (2007). An approach for real world data modelling with the 3D terrestrial laser scanner for built environment. Automation in construction, 16(6), 816-829.   DOI
3 Barbosa, F., Woetzel, J., & Mischke, J. (2017). Reinventing Construction: A Route of Higher Productivity. McKinsey Global Institute,1-20.
4 Bernat, M., Janowski, A., Rzepa, S., Sobieraj, A., & Szulwic, J. (2014). Studies on the use of terrestrial laser scanning in the maintenance of buildings belonging to the cultural heritage. 14th Geoconference on Informatics, Geoinformatics and Remote Sensing, SGEM. ORG, Albena, Bulgaria, 3, 307-318.
5 Construction 21 Steering Committee. (1999). Construction 21, Singapore:Minstry of Manpower and Ministry of National Development, 1-105.
6 DeWit, A. (2015). Komatsu, smart construction, creative destruction, and Japan's robot revolution. The Asia-Pacific Journal, 13(5), 27-33.
7 HM Government. (2013). Industrial Strategy : Government and Industry in Partnership, London : HM Government, 1-78.
8 Jongenelen, A. P. P. (2011). Development of a compact, configurable, real-time range imaging system.
9 Kim, M.K., Thedja, J.P.P., & Wang, Q. (2020). Automated dimensional quality assessment for formwork and rebar of reinforced concrete components using 3D point cloud data. Automation in Construction, 112, 103077.   DOI
10 Park, J.W., Kim, S.C., Lee, S.S., & Song, H.Y. (2009). Suggesting Solutions when Applying Building Information Modeling (BIM) to the Korean Construction Industry through Case Studies, Journal of the Korea Institute of Building Construction, 9(4), 93-103.   DOI
11 Kwon, S.O. (2009). Application of Shape Information Acquisition Technology using Laser Scanning Technology and BIM Technology to the Construction Industry, 建築, 52(4), 31-38.
12 Lee, G.P., Choi, S.Y., Son, T.H., & Choi, S.I. (2019). Current Status of Smart echnology Utilization and Revitalization Plan of Construction Companies in Korea, Construction & Economy Research Institute of Korea, 1-101.
13 Kim T.H., Woo U.T., & Chung G.R. (2019). 3D Scanning Technology for Smart Maintenance of High-rise Buildings, Korea Concrete Institute, 31(6), 39-45.
14 Liu, J., Li, D., Feng, L., Liu, P., & Wu, W. (2019). Towards automatic segmentation and recognition of multiple precast concrete elements in outdoor laser scan data, Remote Sensing, 11(11), 1383.   DOI
15 Liu, J., Zhang, Q., Wu, J., & Zhao, Y. (2018). Dimensional accuracy and structural performance assessment of spatial structure components using 3D laser scanning, Automation in Construction, 96, 324-336.   DOI
16 Park J.W., & Kim S.O. (2018). Productivity Analysis for the 3D Digitization of Earthwork Sites Based on Scanning Conditions, The Korean Society For Railway, 11(1), 1-9.
17 Yuan, X., Moreu, F., & Hojati, M. (2021). Cost-Effective Inspection of Rebar Spacing and Clearance Using RGB-D Sensors. Sustainability, 13(22), 12509.   DOI
18 Zhao, W., Jiang, Y., Liu, Y., & Shu, J. (2022). Automated recognition and measurement based on three-dimensional point clouds to connect precast concrete components. Automation in Construction, 133, 104000.   DOI
19 Chin, G.H. (2019). Smart construction technology to innovate construction productivity and enhance safety, Construction Technology Ssangyong, 76, 9-15.
20 Choi, S.I., Lee, S.W., Son, T.H., & Huh, Y.K. (2020). Future and Demand for the Construction Industry in 2030, Construction & Economy Research Institute of Korea, 25-46.
21 Gikas, V. (2012). Three-dimensional laser scanning for geometry documentation and construction management of highway tunnels during excavation. Sensors, 12(8), 11249-11270.   DOI
22 Kim J.Y. (2022). Case study applying 3D laser scanning technology to quality inspection of structural frame Suwon, Korea.
23 Kim, M.K., Thedja, J.P.P., Chi, H.L., & Lee, D.E. (2021). Automated rebar diameter classification using point cloud data based machine learning. Automation in Construction, 122, 103476.   DOI
24 Li, F., Kim, M. K., & Lee, D. E. (2021). Geometrical model based scan planning approach for the classification of rebar diameters, Automation in Construction, 130, 103848.   DOI
25 Nayyar, A., & Kumar, A. (Eds.). (2020). A roadmap to industry 4.0: Smart production, sharp business and sustainable development, Springer,1-12.
26 Schwab, K. (2017). The fourth industrial revolution. Currency, 1-192.
27 Xu, J., & Lu, W. (2018). Smart construction from head to toe: a closed-loop lifecycle management system based on IoT. In Construction Research Congress, 157-168.
28 Son, S.H., Park, J.W., Kang, S.H., Huh, Y.K., & Kim, D.Y. (2020). A Study on the Types and Causes of Defects in Apartment Housing, Journal of the Korea Institute of Building Construction, 20(6), 515-525.   DOI
29 Turkan, Y., Bosche, F., Haas, C. T., & Haas, R. (2012). Automated progress tracking using 4D schedule and 3D sensing technologies, Automation in construction, 22, 414-421.   DOI
30 Ministry of land, infrastructure and transport. (2018). Roadmap for Smart Construction Technology to Innovate Construction Productivity and Improve Safety, Seoul : Ministry of Land, Infrastructure and Transport, 1-28.
31 Yuan, X., Smith, A., Sarlo, R., Lippitt, C. D., & Moreu, F. (2021). Automatic evaluation of rebar spacing using LiDAR data. Automation in Construction, 131, 103890.   DOI
32 Yao, A. W. L. (2005). Applications of 3D scanning and reverse engineering techniques for quality control of quick response products. The international journal of advanced manufacturing technology, 26(11-12), 1284-1288.   DOI
33 Wang, Q., Cheng, J. C., & Sohn, H. (2017). Automated estimation of reinforced precast concrete rebar positions using colored laser scan data. Computer-Aided Civil and Infrastructure Engineering, 32(9), 787-802.   DOI