HBIM. Parametric Families from Point Clouds in Heritage Elements

  • María José Marín MirandaEmail author
  • Francisco Javier Chorro Domínguez
  • Manuel Sánchez-Fernández
  • Juan Pedro Cortés-Pérez
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


The conservation of heritage sites requires precise knowledge of the elements to be preserved. To this end, tools and methodologies must involve the integration of as much accessible and ordered information as possible while at the same time permitting the ongoing update of data.

Defensive elements have an important presence in the Iberian Peninsula and owing to both how widespread they are and the presence of recurring elements, the use of adaptative families on these characteristic elements offers an important step forward in their introduction into BIM methodology (Building Information Modelling).

BIM technology allows the generation of virtual models using parametric information of the physical and functional characteristics of a building while setting up a reliable database for decision taking during its lifecycle [1]. This technology was first used in construction projects over 15 years ago [2].

This communication presents a set of parametric families in defensive elements of the wall of Cáceres generated on the base of a geometric BIM study using point clouds obtained from a scanner laser survey of the site.


HBIM BIM families Scanner laser 



The present study has been made possible thanks to financing awarded by the European Regional Development Fund and the Junta de Extremadura to the research group NEXUS under grant GR18053 and to the project of investigation IB16115 I+D+i thanks to European Regional Development Fund and the Junta de Extremadura.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • María José Marín Miranda
    • 1
    Email author
  • Francisco Javier Chorro Domínguez
    • 1
  • Manuel Sánchez-Fernández
    • 1
  • Juan Pedro Cortés-Pérez
    • 1
  1. 1.INTERRA Research Institute, NEXUS Research Group, University of ExtremaduraCáceresSpain

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