DOI QR코드

DOI QR Code

Using Drone and Laser Scanners for As-built Building Information Model Creation of a Cultural Heritage Building

드론 및 레이저스캐너를 활용한 근대 건축물 문화재 빌딩정보 모델 역설계 구축에 관한 연구

  • 정래규 (서울과학기술대학교 건설시스템공학과) ;
  • 구본상 (서울과학기술대학교 건설시스템공학과) ;
  • 유영수 (서울과학기술대학교 건설시스템공학과)
  • Received : 2019.04.10
  • Accepted : 2019.05.19
  • Published : 2019.06.30

Abstract

The use of drones and laser scanners have the potential to drastically reduce the time and costs of conventional techniques employed for field survey of cultural heritage buildings. Moreover, point cloud data can be utilized to create an as-built Building Information Model (BIM), providing a repository for consistent operations information. However, BIM creation is not a requisite for heritage buildings, and their technological possibilities and barriers have not been documented. This research explored the processes required to convert a heritage university building to a BIM model, using existing off-the-shelf software applications. Point cloud data was gathered from drones for the exterior, while a laser scanner was employed for the interior of the building. The point clouds were preprocessed and used as references for the geometry of the building elements, including walls, slabs, windows, doors, and staircases. The BIM model was subsequently created for the individual elements using existing and custom libraries. The model was used to extract 2D CAD drawings that met the requirements of Korea's heritage preservation specifications. The experiment showed that technical improvements were needed to overcome issues of occlusion, modeling errors due to modeler's subjective judgements and point cloud data cleaning and filtering techniques.

Keywords

References

  1. An, D. (2013). The Concept and Limitation for Practical Use of 3D Scan Data for the Survey Report of Wooden Architectural Heritage - Focused on Survey Drawings. Architectural Institute of Korea, 29(9), pp. 141-149.
  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), pp. 816-829. https://doi.org/10.1016/j.autcon.2007.02.008
  3. Bassier, M., Hadjidemetriou, G., Vergauwen, M., Van Roy, N., Verstrynge, E. (2016). Implementation of Scan-to-BIM and FEM for the documentation and analysis of heritage timber roof structures. In Euro-mediterranean conference (pp. 79-90). Springer, Cham.
  4. Bosch , F., Ahmed, M., Turkan, Y., Haas, C. T., Haas, R. (2015). The value of integrating Scan-to-BIM and Scanvs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components. Automation in Construction, 49, pp. 201-213. https://doi.org/10.1016/j.autcon.2014.05.014
  5. Canciani, M., Falcolini, C., Saccone, M., Spadafora, G. (2013). From Point clouds to architectural models: algorithms for shape reconstruction. ISPRS Archives, 5, W1.
  6. Ha, S., Lee, J. (2017). A Study on the Development of Documentary Picture in Cultural Heritage Recording -based on the documentary reports in Daejeon area-. Journal of Basic Design & Art, 18(4), pp. 443-456.
  7. Han, S., Park, T. (2018). A Comparative Analysis of the Earthwork Volume Calculation by UAV (mapping-drone) Survey. KSIS 2018, pp. 115-116.
  8. Huber, D., Akinci, B., Oliver, A. A., Anil, E., Okorn, B. E., Xiong, X. (2011). Methods for automatically modeling and representing as-built building information models. In Proceedings of the NSF CMMI Research Innovation Conference.
  9. Jung, J., Hong, S., Jeong, S., Kim, S., Cho, H., Hong, S., Heo, J. (2014). Productive modeling for development of as-built BIM of existing indoor structures. Automation in Construction, 42, pp. 68-77. https://doi.org/10.1016/j.autcon.2014.02.021
  10. Kim, D., Sohn, H. (2018). Development of PSC Girder Shape Measurement Method Based on 3D Terrestrial Laser Scanner. KSCE 2018, pp. 179-180.
  11. Kwon, O., Baek, S., Yu, S., Seok, H., Kim, C., Lee, J. (2016). An establishment of 3D modeling method based on aerial and ground photo image. Journal of Korean Society for Geospatial Information Science, pp. 151-153.
  12. Kwon, S. (2009). Object recognition and modeling technology using laser scanning and BIM for construction industry. Architectural Institute of Korea, 53(4), pp. 31-38.
  13. Lucieer, A., Jong, S. M. D., Turner, D. (2014). Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography. Progress in Physical Geography, 38(1), pp. 97-116. https://doi.org/10.1177/0309133313515293
  14. Seo, J. W., Ji, S. G., Kim, J. W. (2013). A Study on Standardization Guidelines for BIM-based Maintenance and Management of Civil Infrastructures. Journal of Korea institue for Structural Maintenance Inspection, 17(6), pp. 153-161. https://doi.org/10.11112/jksmi.2013.17.6.153
  15. Tang, P., Huber, D., Akinci, B., Lipman, R., Lytle, A. (2010). Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in construction, 19(7), pp. 829-843. https://doi.org/10.1016/j.autcon.2010.06.007
  16. Thomson, C., Apostolopoulos, G., Backes, D., Boehm, J. (2013). Mobile laser scanning for indoor modelling. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci, 5, W2.
  17. Valero, E., Adan, A., Cerrada, C. (2012). Automatic construction of 3D basic-semantic models of inhabited interiors using laser scanners and RFID sensors. Sensors, 12(5), pp. 5705-5724. https://doi.org/10.3390/s120505705
  18. Woo, S., Yi, D., Ha, G. (2016). A basic study on 3D scanning for Maintenance. Architectural Institute of Korea, pp. 71-72.
  19. Yu, Se. (2018). Aerial photographing and 3D modeling of transparent buildings using drones. University of Seoul