Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Development of a 3D Visualization Program from Geotechnical Information

지반정보로부터 3차원 가시화 프로그램 개발에 관한 연구

  • Bong-Jun, LEE (CmWorld Corporation) ;
  • Hong, MIN (CmWorld Corporation) ;
  • Hoon-Joon, KOUH ( Kyung-In Women's University)
  • 이봉준 ((주)씨엠월드) ;
  • 민홍 ((주)씨엠월드) ;
  • 고훈준 (경인여자대학교 )
  • Received : 2022.11.01
  • Accepted : 2022.11.17
  • Published : 2022.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Borehole Data is geotechnical information provided so that workers can safely perform construction at the field. It creates 3D data and supports viewing as a 3D image. Currently, all Korean companies that develop programs using 3D visualization use the MVS program developed by C Tech Development Corporation. However, the MVS program is a commercial program, and it is difficult to use MVS in 3D related programs developed by Korean Companies. In this paper, we propose to develop a program that can replace MVS to generate a 3D stratum model from clustered borehole information using Python's Gempy open-source. The 3D stratum model program can creates point data for each stratum and can creates a surface for each stratum through interpolation. Then, the 3D stratum model program is completed by merging the surfaces of each stratum. It was confirmed that there was no difference when a 3D model was created and compared with the MVS program and the proposed program from the borehole data of a Goyang area.

시추데이터는 작업자가 작업현장에서 안전하게 공사를 수행할 수 있도록 제공하는 지반정보로, 현재 시추데이터를 3차원 데이터로 만들어서 3차원 형태의 이미지로 볼 수 있도록 지원하고 있다. 지반정보의 3차원 가시화를 이용하여 다양한 프로그램을 개발하는 국내의 기업들은 지반 정보의 3차원 가시화를 위해 C Tech Development Corporation에서 개발한 MVS 프로그램을 사용하고 있다. 그러나 MVS 프로그램은 유료 프로그램이고 국내에서 개발하는 3차원 관련 프로그램에서 사용하기에는 어려움이 있다. 본 논문에서는 파이썬의 Gempy 오프 소스를 이용하여 군집화된 시추정보로 부터 3차원 지층모델을 생성할 수 있도록 MVS를 대체할 수 있는 라이브러리를 개발하고자 한다. 3차원 지층모델 프로그램은 각 지층별 포인트 데이터를 생성하고 보간을 통해서 지층별 표면을 생성한다. 그리고 각 지층별 표면을 합하여 3차원 지층모델 프로그램을 완성한다. 고양 지역의 시추데이터로부터 MVS 프로그램과 제안하는 프로그램으로 3차원 모형을 생성하여 비교하였을 때 큰 차이가 없음을 확인하였다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 : 21DCRU-B158159-02)

References

  1. GemPy. 2021. https://docs.gempy.org/. (Accessed September 23, 2022)
  2. Kim, J.M. and S.H. Han. 2019. A Proposal for the Development and Application of Underground Space Integration Map Using 3D Spatial Information Data. Proceedings of Korean Society for Geospatial Information Science. pp.89-92.
  3. Kim, J.S., H.W. Rim, M.J. Um, W.I. Kim and W.S. Ahn. 2008. Spatial Adjustment of Rainfall using Kriging Method and Application of Distributed Model. Proceedings of the Korea Water Resources Association Conference. pp.130-134.
  4. Kim, Y.T. and H.J. Kouh. 2022. Design of Caching Scheme for Mobile Underground Geospatial Information Map System. Journal of Convergence for Information Technology 12(1):7-14. https://doi.org/10.22156/CS4SMB.2022.12.01.007
  5. Isaaks, E.H. and R.M. Srivastava. 1989. An introductions to applied geostatistics. Oxford University Press. Oxford. pp.225-235.
  6. Lee, B.J. 2021. Operation Technique of Spatial Data Change Recognition Data per File. Journal of the Korean Association of Geographic Information Studies 24(4):184-193. https://doi.org/10.11108/KAGIS.2021.24.4.184
  7. Lee, B.J. and H.J. Kouh. 2022. Spatial Data Update Method for Efficient Operation of the Integrated Underground Geospatial Map Management System. Journal of Industrial Convergence 20(6):57-64.
  8. Lee, B.Y.,€B.S. Hwang, H.S. Kim and€W.J. Cho. 2016. Comparative Evaluation on Geotechnical Information 3차원 Visualization Program for Dredging Quantity Estimation. Journal of the Korean Geo-Environmental Society 17(7):35-42.
  9. Lee, B.Y., B.S. Hwang, H.S. Kim and W.J. Cho. 2017. Precision Analysis of Geotechnical Information for the 3차원 Integrated Underground Space Map. Journal of the Korean Geoenvironmental Society 18(4):5-12. https://doi.org/10.14481/jkges.2017.18.1.5
  10. Li, S., S. Dragicevic, F.A. Castroc, M. Sester, S. Wintere, A. Coltekin, C. Pettit, B. Jiang, J. Haworth, A. Stein, and T. Cheng. 2016. Geospatial big data handling theory and methods: A review and research challenges. Journal of Photogrammetry and Remote Sensing 115:119-133. https://doi.org/10.1016/j.isprsjprs.2015.10.012
  11. MOLIT. 2020. Development of technology for renewal automation and field utilization on the integrated underground geospatial information map. R&D plan. pp.1-30.
  12. The Mining Visualization System(MVS). 2015. https://www.ctech.com/products/mvsevs-product-suite/mvs/ (Accessed August 09, 2022)
  13. Park, D.H., Y.G. Jang, J.Y. Woo and W.K. Lee. 2015. Creation plan of 3D geotechnical information for constructing underground spatial information map. Korean Society of Civil Engineers. pp.103-104.
  14. Park, D.H., Y.G. Jang and H.S. Choi. 2018. A Study on the Construction Plan of 3차원 Geotechnical Information for the Support of Underground Space Safety. Journal of the Korean Association of Geographic Information Studies 21(1):23-34. https://doi.org/10.11108/KAGIS.2018.21.1.023
  15. Seok, C.H., Y.R. Kang, Y.G. Jang and I.J. Kang. 2012. A Study of Standardization for Establishing Integrated Infrastructure of Underground Space Information and its Availability. Journal of the Korean Society for Geospatial Information System 20(4):105-115.