A Systematic Review of Visualization in Building Information Modeling.
Journal
IEEE transactions on visualization and computer graphics
ISSN: 1941-0506
Titre abrégé: IEEE Trans Vis Comput Graph
Pays: United States
ID NLM: 9891704
Informations de publication
Date de publication:
Oct 2020
Oct 2020
Historique:
pubmed:
2
4
2019
medline:
2
4
2019
entrez:
2
4
2019
Statut:
ppublish
Résumé
Building Information Modeling (BIM) employs data-rich 3D CAD models for large-scale facility design, construction, and operation. These complex datasets contain a large amount and variety of information, ranging from design specifications to real-time sensor data. They are used by architects and engineers for various analysis and simulations throughout a facility's life cycle. Many techniques from different visualization fields could be used to analyze these data. However, the BIM domain still remains largely unexplored by the visualization community. The goal of this article is to encourage visualization researchers to increase their involvement with BIM. To this end, we present the results of a systematic review of visualization in current BIM practice. We use a novel taxonomy to identify main application areas and analyze commonly employed techniques. From this domain characterization, we highlight future research opportunities brought forth by the unique features of BIM. For instance, exploring the synergies between scientific and information visualization to integrate spatial and non-spatial data. We hope this article raises awareness to interesting new challenges the BIM domain brings to the visualization community.
Identifiants
pubmed: 30932840
doi: 10.1109/TVCG.2019.2907583
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM