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HBIM in Cultural Heritage Conservation: Component Library for Woodwork in Historic Buildings in Taiwan

  • Y. M. Cheng
  • C. C. Mou
  • Y. C. Lu
  • Y. N. YenEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11196)

Abstract

The aim of this study is to propose an application framework of HBIM for historic buildings in Taiwan with a focus on defining the components of historic buildings, component attributes, and the relationship between the components and restoration data. The information is then imported into a database and presented in a visualized model. Issues explored include definition of components and the process of generating component library for historic buildings with an emphasis on traditional woodwork. The case study is on Huangxi Academy. To generate the component library, regulations must be established to define structural components of historic buildings and the component types must be categorized. The structure of Huangxi Academy is divided into 5 areas with individual elements and the components are classified into one of the three categories, family component with parameters, family component without parameters, and custom component. In addition, for create basic visual effects for each component with data pertaining to renovation, the LOD 300 model is suggested for this project.

Keywords

BIM HBIM Historic building Revit 

Notes

Acknowledgements

This study is sponsored by the Bureau of Cultural Heritage, Ministry of Cultural for 2018 Research and Development Project Plan (107-5).

References

  1. 1.
    Murphy, M., McGovern, E., Pavia, S.: Historic building information modelling (HBIM). Struct. Surv. 27(4), 311–327 (2009)CrossRefGoogle Scholar
  2. 2.
    Hichri, N., Stefani, C., DeLuca, L., Veron, P., Hamon, G.: From point cloud to BIM: a survey of existing approaches. ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XL-5/W2, XL-5/W2, 343–348 (2013)Google Scholar
  3. 3.
    Barazzetti, L., Brumana, R., Oreni, D., Previtali, M., Roncoroni, F.: True-orthophoto generation from UAV images: implementation of a combined photogrammetric and computer vision approach. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2, 57–63 (2014)CrossRefGoogle Scholar
  4. 4.
    Pöchtrager, M., Styhler-Aydın, G., Döring-Williams, M., Pfeifer, N.: Automated reconstruction of historic roof structures from point clouds – development and examples. In: 26th International CIPA Symposium 2017, Ottawa, Canada (2017)Google Scholar
  5. 5.
    Banfi, F.: BIM orientation: grades of generation and information for different type of analysis and management process. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch. 42, 57–64 (2017)CrossRefGoogle Scholar
  6. 6.
    Prizeman, O.E.C., Sarhosis, V., D’Altri, A.M., Whitman, C.J., Muratore, G.: Modelling from the past: the leaning southwest tower of caerphilly castle 1539-2015. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 4 pp. 221–227 (2017)CrossRefGoogle Scholar
  7. 7.
    Nony, N., et al.: Protocols and assisted tools for effective image-based modeling of architectural elements. In: Ioannides, M., Fritsch, D., Leissner, J., Davies, R., Remondino, F., Caffo, R. (eds.) EuroMed 2012. LNCS, vol. 7616, pp. 432–439. Springer, Heidelberg (2012).  https://doi.org/10.1007/978-3-642-34234-9_44CrossRefGoogle Scholar
  8. 8.
    Niang, C., Marinica, C., Leboucher, É., Bouiller, L., Capderou, C.: An ontological model for conservation-restoration of cultural objects. In: International Congress on Digital Heritage, pp. 157–160 (2015).  https://doi.org/10.1109/digitalheritage.2015.7419476
  9. 9.
    Cacciotti, R., Blaško, M., Valach, J.: A diagnostic ontological model for damages to historical constructions. J. Cult. Herit. 16, 40–48 (2015)CrossRefGoogle Scholar
  10. 10.
    Acierno, M., Cursi, S., Simeone, D., Fiorani, D.: Architectural heritage knowledge modelling: an ontology-based framework for conservation process. J. Cult. Herit. 24, 124–133 (2017)CrossRefGoogle Scholar
  11. 11.
    Messaoudi, T., Véron, P., Halin, G., DeLuca, L.: An ontological model for the reality-based 3D annotation of heritage building conservation state. J. Cult. Herit. 29, 100–112 (2018)CrossRefGoogle Scholar
  12. 12.
    Niang, C., Marinica, C., Leboucher, É., Bouiller, L., Capderou, C., Bouchou, B.: Ontology-based data integration system for conservation-restoration data (OBDIS-CR). In: Proceedings of the 20th International Database Engineering & Applications Symposium, IDEAS 2016, pp. 218–223 (2016).  https://doi.org/10.1145/2938503.2938545
  13. 13.
    Quattrini, R., Pierdicca, R., Morbidoni, C.: Knowledge-based data enrichment for HBIM: exploring high-quality models using the semantic-web. J. Cult. Herit. 28, 129–139 (2017)CrossRefGoogle Scholar
  14. 14.
    Banfi, F., Fai, S., Brumana, R.: BIM automation: advanced modeling generative process for complex structures. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 4, 9–16 (2017)Google Scholar
  15. 15.
    Yen, Y.-N.: A CH based integrative management framework on the value priority aspect. In: Ioannides, M., Fritsch, D., Leissner, J., Davies, R., Remondino, F., Caffo, R. (eds.) EuroMed 2012. LNCS, vol. 7616, pp. 841–848. Springer, Heidelberg (2012).  https://doi.org/10.1007/978-3-642-34234-9_90CrossRefGoogle Scholar
  16. 16.

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of Civil Engineering and Hazard Mitigation DesignChina University of TechnologyTaipeiTaiwan, ROC
  2. 2.Department of Architecture, China University of TechnologyTaipeiTaiwan, ROC

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