Volume XLII-2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 715-722, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-715-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 715-722, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-715-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 May 2018

30 May 2018

HBIM METHODOLOGY AS A BRIDGE BETWEEN ITALY AND ARGENTINA

A. Moreira1, R. Quattrini2, G. Maggiolo1, and R. Mammoli2 A. Moreira et al.
  • 1Faculty of Architecture, Design and Urbanism, National University of the Litoral, Santa FE, Argentina
  • 2DICEA, Dept. of Civil and Building Engineering and Architecture, Polytechnic University of Marche, Ancona, Italy

Keywords: Semantic Modelling, Built Memory, Parametric Intelligence, Reality Based Modelling, Ontologies

Abstract. The availability of efficient HBIM workflows could represent a very important change towards a more efficient management of the historical real estate. The present work shows how to obtain accurate and reliable information of heritage buildings through reality capture and 3D modelling to support restoration purposes or knowledge-based applications. Two cases studies metaphorically joint Italy with Argentina. The research article explains the workflows applied at the Palazzo Ferretti at Ancona and the Manzana Histórica de la Universidad National del Litoral, providing a constructive comparison and blending technological and theoretical approaches. In a bottom-up process, the assessment of two cases study validates a workflow allowing the achievement of a useful and proper data enrichment of each HBIM model. Another key aspect is the Level of Development (LOD) evaluation of both models: different ranges and scales are defined in America (100–500) and in Italy (A–G), nevertheless is possible to obtain standard shared procedures, enabling facilitation of HBIM development and diffusion in operating workflows.