Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
권호 표지
DOI QR코드

DOI QR Code

Case Study Research in Earthwork Site Digitization for Smart Construction

스마트 건설을 위한 토공현장 디지털화 적용성 검증

  • Park, Jae-woo (Construction Policy Institute, Korea Institute of Civil Engineering and Building Technology) ;
  • Kim, Seok (Dept. of Railroad Infrastructure System Engineering, Korea National University of Transportation)
  • 박재우 (한국건설기술연구원, 건설정책연구소) ;
  • 김석 (한국교통대학교 철도인프라시스템공학과)
  • Received : 2019.05.30
  • Accepted : 2019.09.06
  • Published : 2019.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, various efforts have been tried in the construction industry to improve productivity by applying the fourth industrial revolution technology. Among the various technologies, researches for the automation and digitization of earthworks are being carried out steadily. As the interest in the benefits of digitalization of the earthwork field has increased, there have been more cases of technology development and application for digitalization of the earthwork field. However, there is not enough case study to present the analysis results of application cases. The purpose of this study is to verify the feasibility of applying the digitization technology of the earthwork in actual worksite. In order to digitize the worksite terrain, it is required the process of field measurement, measurement data registration, earthwork information input, and analysis cell generation. Particularly, it is possible to achieve information-enabled digitization rather than digitalizing only the shape through the input of the earthwork information and the analysis cell generation. By using the digital information of the earthwork field, it is possible to visually recognize the change of the earthwork field, so that it is expected to enhance the worker 's understanding and to be highly applicable to the management work. It is expected that the digital technology of earthwork site will be able to know the precise amount of volume change of the earthwork numerically, and it will be highly applicable to construction management.

Keywords

Acknowledgement

Supported by : 산업통상부

References

  1. Mackinsey Global Institute, "Reinventing Construction: A Route to Higher Productivity", Feb, (2017).
  2. Renz, A., et al. "Shaping the Future of Construction. A Breakthrough in Mindset and Technology." World Economic Forum. Retrieved June. vol. 7. (2016).
  3. J.W. Park, S. Kim, "MMS Accuracy Analysis for Earthwork Site Application", Journal of the Korean Society of Industry Convergence, vol. 22. no. 2, pp. 183-189, (2019). https://doi.org/10.21289/KSIC.2019.22.2.183
  4. J.S. Park, J. Seo, "Application of Construction Equipment Fleet Management System through the Case Study of Air and Vessel Traffic Control Technology", Journal of the Korean Society of Civil Engineers, vol. 35, no. 2, pp. 493-500, (2015). https://doi.org/10.12652/Ksce.2015.35.2.0493
  5. H. Gwak, J. Seo, D. Lee, "Earthmoving Haul- Route Searching Method for Energy Saving based on Evolutionary Algorithm", Journal of Architectural Institute of Korea, vol. 31, no. 3, pp. 81-88, (2015).
  6. S. Kim, S. Min, "Development of a Work Information Model and a Work Path Simulator for an Intelligent Excavation", Journal of the Korean Society of Civil Engineers, vol. 32, no. 3D, pp. 259-267, (2012). https://doi.org/10.12652/Ksce.2012.32.6C.259
  7. K. Lee, J. Park, H. Kang, D. Shin, "Superimposition Technique of Virtual Objects for AR System of Excavator Based on Image Processing", Journal of Korea Institute of Construction Engineering and Management, vol. 18, no. 2, pp. 21-29, (2017). https://doi.org/10.6106/KJCEM.2017.18.2.021
  8. J.H. Park, S.W. Kwon, "Analysis of the Relationship between Image Overlap rate and Point Cloud Generation based on Image Processing", Proc. of 2018 KICEM Conference, pp. 115-116, November, (2018).
  9. D.H. Lee, S. Kim, J.W. Park, S.W. Kwon, "Generation of 3D Terrain Map Using Cell Deviation Algorithm for Earthwork", Procedia Engineering, vol. 196, pp. 436-440, (2017). https://doi.org/10.1016/j.proeng.2017.07.221
  10. S. Siebert, J. Teizer, "Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle system", Automation in Construction, vol. 41, pp. 1-14, (2014). https://doi.org/10.1016/j.autcon.2014.01.004
  11. J. Wang, H. Gonzalez-Jorge, R. Lindenbergh, P. Arias-Sanchez, M. Meneti, "Automatic Estimation of Excavation Volume from Laser Mobile Mapping Data for Mountain Road Widening", Remote Sensing, vol. 5, no. 5, pp. 4629-4651, (2013). https://doi.org/10.3390/rs5094629
  12. S. Kim, J.W. Park, K.H. Kim, "A Study on Terrain Digitalization for Earthwork Automation", Proceedings of the Korea Contents Association, pp. 407-408, (2017).