ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W1, 215-221, 2013
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W1/215/2013/
doi:10.5194/isprsannals-II-5-W1-215-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
31 Jul 2013
HBIM FOR CONSERVATION AND MANAGEMENT OF BUILT HERITAGE: TOWARDS A LIBRARY OF VAULTS AND WOODEN BEAN FLOORS
D. Oreni1, R. Brumana1, A. Georgopoulos2, and B. Cuca1,3 1Politecnico di Milano, Milano, Italy
2Laboratory of Photogrammetry, School of Rural & Surveying Engineering, National Technical University of Athens, Greece
3Cyprus University of Technology, Limassol, Cyprus
Keywords: 3D content model, HBIM, laser scanner, geospatial data, built heritage, geometric analysis, survey interpretation, conservation, management Abstract. The paper illustrates the utility to switch from a 3D content model to a Historic Building Information Modelling (HBIM) in order to support conservation and management of built heritage. This three dimensional solution is based on simplified parametric models, suitable for industrial elements and modern architecture, that can be usefully applied to heritage documentation and management of the data on conservation practices. In this sense, the potentials in starting the definition of an HBIM targeted library are investigated, towards the logic of object data definition, beginning from surface surveying and representation. In order to motivate the opportunity in using this 3D object modelling instruments, some case studies are investigated in the paper. Vault and wooden bean floor analysis show how a HBIM for architectural heritage could be implemented in order to assemble different kind of data on historical buildings, such as e.g. dimensional, geometrical, thematic, historical and architectural information.
Conference paper (PDF, 738 KB)


Citation: Oreni, D., Brumana, R., Georgopoulos, A., and Cuca, B.: HBIM FOR CONSERVATION AND MANAGEMENT OF BUILT HERITAGE: TOWARDS A LIBRARY OF VAULTS AND WOODEN BEAN FLOORS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W1, 215-221, doi:10.5194/isprsannals-II-5-W1-215-2013, 2013.

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