Korean Journal of Construction Engineering and Management (한국건설관리학회논문집)

Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지
DOI QR코드

DOI QR Code

Optimizing Laser Scanner Selection and Installation through 3D Simulation-Based Planning - Focusing on Displacement Measurements of Retaining Wall Structures in Small-scale Buildings -

  • Lee, Gil-yong (Department of Architectural Engineering, Inha University) ;
  • Kim, Jun-Sang (Industrial Science and Technology Research Institute, Inha University) ;
  • Yoou, Geon hee (Department of Architectural Engineering, Inha University) ;
  • Kim, Young Suk (Department of Architectural Engineering, Inha University)
  • Received : 2023.12.07
  • Accepted : 2024.03.11
  • Published : 2024.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

The planning stage of laser scanning is crucial for acquiring high-quality 3D source data. It involves assessing the target space's environment and formulating an effective measurement strategy. However, existing practices often overlook on-site conditions, with decisions on scanner deployment and scanning locations relying heavily on the operators' experience. This approach has resulted in frequent modifications to scanning locations and diminished 3D data quality. Previous research has explored the selection of optimal scanner locations and conducted preliminary reviews through simulation, but these methods have significant drawbacks. They fail to consider scanner inaccuracies, do not support the use of multiple scanners, rely on less accurate 2D drawings, and require specialized knowledge in 3D modeling and programming. This study introduces an optimization technique for laser scanning planning using 3D simulation to address these issues. By evaluating the accuracy of scan data from various laser scanners and their positioning for scanning a retaining wall structure in a small-scale building, this method aids in refining the laser scanning plan. It enhances the decision-making process for end-users by ensuring data quality and reducing the need for plan adjustments during the planning phase.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1A2C2008616).

References

  1. Dayal, S., Goel, S., Lohani, B., Mittal, N., and Mishra, R.K. (2021). "Comprehensive airborne laser scanning (ALS) simulation." Journal of the Indian Society of Remote Sensing, 49(7), pp. 1603-1622. https://doi.org/10.1007/s12524-021-01334-5
  2. GS Engineering & Construction. (2021). LGU+ Successfully Produced '3D Map of Construction Site' Using 5G, Bizn. Retrieved December 06, 2023, from https://bizn.donga.com/3/all/20211025/109906837/1
  3. Hanwha Construction. (2022). [5th Industry] Hanwha Engineering & Construction Application to 3D Scannerequipped Robot Dog Construction Site, Ikoreadaily. Retrieved December 06, 2023, from https://www. ikoreadaily.co.kr/news/articleView.html?idxno=804647
  4. Hyundai Engineering & Construction. (2020). Hyundai E&C establishes a smart construction environment, establishes a dedicated organization, and selects an innovation site, Getnews. Retrieved December 06, 2023, from https://www.getnews.co.kr/news/articleView. html?idxno=211714
  5. Jung, R.K., Koo, B.S., and Yu, Y.S. (2019). "Using Drone and Laser Scanners for As-built Building Information Model Creation of a Cultural Heritage Building." KIBIM Magazine, KIBIM, 9(2), pp. 11-20.
  6. KICT (Korea Institute of Civil Engineering and Building Technology) (2022). 3D Scanning Guidelines (Scanning Guidelines for Construction, Reverse Engineering, Management, and Implementation of Buildings and Facilities).
  7. Kim, J.S., Lee, G.Y., and Kim, Y.S. (2022a). "2D-LiDARSensor-Based Retaining Wall Displacement Measurement System." Applied Sciences, 12(22), 11335.
  8. Kim, J.S., Lee, G.Y., and Kim, Y.S. (2022b). "Conceptual Design and Displacement Recognition Performance Verification of Displacement Measurement System for Retaining Wall Structure Based on Laser Sensor." Korean Journal of Construction Engineering and Management, KICEM, 23(1), pp. 64-72. https://doi.org/10.6106/KJCEM.2022.23.1.064
  9. Kim, J.Y., and Kim, G.H. (2022). "Application of 3D Laser Scanning Technology to the Measurement of Construction Precision in Building Structural Frame Construction." Journal of the Architectural Institute of Korea, AIK, 38(4), pp. 245-253. https://doi.org/10.5659/JAIK.2022.38.4.245
  10. Kim, M.S. (2022). "Implementation of Systems for Positioning a 3D Laser Scanner in Construction Sites Through an Optimization Algorithm." Master's Thesis, Hanyang University.
  11. Kim, W.S. (2020). "A Framework to Facilitate 3D Scanner and Validate Its Effectiveness in Curtain Wall Installation Works by Introducing Machine Learning." Master's Thesis, Hanyang University.
  12. Lee, D.H., and Park, J.W. (2018). "System Improvement for Application and Diffusion of Earthwork Surveying Automation Technology." Journal of the Korea Contents Association, KCA, 18(6), pp. 303-313. https://doi.org/10.5392/JKCA.2018.18.06.303
  13. Lim, H.S., Kim, T.H., Lee, M.D., Kim, C.W., and Cha, M.S. (2019). "A Study on Application of Automated Inspection System for Rebar Inspection using 3D Scanner." Proceedings of the Korean Institute ofBuilding Construction Conference, KIBC, 19(1), pp. 157-158.
  14. Lohani, B., and Mishra, R.K. (2007). "Generating LiDAR data in laboratory: LiDAR simulator." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 52(01).
  15. MOLIT (Ministry of Land Infrastructure and Transport of Korea). (2019). Final Planning Report for Smart Construction Technology Development Project.
  16. O, E.T., Cho, M.W., and Gu, B.W. (2022). "Study about LowCost Autonomous Driving Simulator Framework Based on 3D LIDAR." Proceedings of the Korea InformationProcessing Society Conference, KIPS, 29(1), pp. 702-704.
  17. Park, J.K., and Lee, K.W. (2021). "DEM Construction and Spatial Analysis of the Planned Construction Site for Establishment of Housing Construction Planning." Journal of Korea Academia-Industrial cooperation Society, KAIS, 22(1), pp. 621-626. https://doi.org/10.5762/KAIS.2021.22.7.621
  18. Park, J.K., and Um, D.Y. (2018). "Utilization Evaluation of Digital Surface Model by UAV for Reconnaissance Survey of Construction Project." Journal of Korea Academia-Industrial cooperation Society, KAIS, 19(3), pp. 155-160.
  19. POSCO Engineering & Construction. (2020). POSCO E&C Applies to 3D Digital Map Field, Newsway. Retrieved December 06, 2023, from https://www.newsway.co.kr/news/view?tp=1&ud=2020051018223558443
  20. Reitmann, S., Neumann, L., and Jung, B. (2021). "BLAINDER-a blender AI add-on for generation of semantically labeled depth-sensing data." Sensors, 21(6), 2144.
  21. Seong, D.Y., Baek, I.S., Jae, J.K., and Ham, N.H. (2021). "Analysis of 3D Laser Scanner Input Performance in Structual Safety Diagnosis." KIBIM Magazine, KIBIM, 11(3), pp. 34-44.
  22. Winiwarter, L., Pena, A.M.E., Weiser, H., Anders, K., Sanchez, J.M., Searle, M., and Hofle, B. (2022). "Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning." Remote Sensing of Environment, 269, 112772.