Towards Automated BIM and BEM Model Generation using a B-Rep-based Method with Topological Map

Abstract. In many countries, recent boosts in the construction and renovation sectors and energy efficiency directives are driving a growing interest in the built environment among designers and maintainers. In this context, customized software solutions tailored for Building Information Modelling (BIM) and Building Energy Modelling (BEM) are proving to be indispensable for optimizing operational efficiency within the Architecture, Engineering, Construction, Owner, and Operator (AECOO) sector and for facilitating the generation of buildings' Digital Twins (DTs). These DTs rely on accurate geometry and ancillary information (semantics, sensors, etc.) to define properties of single elements, enabling crucial simulations in structural conditions or energy needs. However, BIM and BEM model creation and their enrichment with semantic information are highly time-consuming and prone to manual errors. Hence, there is an increasing demand for automatic methods featuring a high level of geometric accuracy to reconstruct building elements, such as walls, floors, and openings captured via 3D reality-based surveying. This paper introduces an automated method for creating Boundary Representation (B-Rep) models from 3D surveying data for the generation of digital building replicas. The method is based on the detection and computation of topological elements from 3D reality-based point clouds. It proves valuable for architectural or design workflows and for conducting energy or quality system simulations.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2024-10-18
DOI
https://doi.org/10.5194/isprs-annals-x-4-2024-287-2024
Citations
2
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.53
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article

Towards Automated BIM and BEM Model Generation using a B-Rep-based Method with Topological Map

Giorgio Agugiaro, G. Mazzacca, Elisa Mariarosaria Farella, Fabio Remondino et al.
2 citations
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
BIM and Construction Integration
0.53
article

Towards Automated BIM and BEM Model Generation using a B-Rep-based Method with Topological Map

Giorgio Agugiaro, G. Mazzacca, Elisa Mariarosaria Farella, Fabio Remondino, Maarten Bassier, O. V. Roman
article en
2 citations

Abstract

Abstract. In many countries, recent boosts in the construction and renovation sectors and energy efficiency directives are driving a growing interest in the built environment among designers and maintainers. In this context, customized software solutions tailored for Building Information Modelling (BIM) and Building Energy Modelling (BEM) are proving to be indispensable for optimizing operational efficiency within the Architecture, Engineering, Construction, Owner, and Operator (AECOO) sector and for facilitating the generation of buildings' Digital Twins (DTs). These DTs rely on accurate geometry and ancillary information (semantics, sensors, etc.) to define properties of single elements, enabling crucial simulations in structural conditions or energy needs. However, BIM and BEM model creation and their enrichment with semantic information are highly time-consuming and prone to manual errors. Hence, there is an increasing demand for automatic methods featuring a high level of geometric accuracy to reconstruct building elements, such as walls, floors, and openings captured via 3D reality-based surveying. This paper introduces an automated method for creating Boundary Representation (B-Rep) models from 3D surveying data for the generation of digital building replicas. The method is based on the detection and computation of topological elements from 3D reality-based point clouds. It proves valuable for architectural or design workflows and for conducting energy or quality system simulations.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-4-2024
University of Udine (IT), University of Trento (IT), Fondazione Bruno Kessler (IT), Flanders Make (Belgium) (BE), Delft University of Technology (NL), KU Leuven (BE)
Affordable and clean energy
Openalex Percentile: Top 34%
BIM and Construction Integration
0.53
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