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Auteur Chimay Anumba |
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A semantics-based approach for simplifying IFC building models to facilitate the use of BIM models in GIS / Junxiang Zhu in Remote sensing, vol 13 n° 22 (November-2 2021)
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Titre : A semantics-based approach for simplifying IFC building models to facilitate the use of BIM models in GIS Type de document : Article/Communication Auteurs : Junxiang Zhu, Auteur ; Peng Wu, Auteur ; Chimay Anumba, Auteur Année de publication : 2021 Article en page(s) : n° 4727 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] ArcGIS online
[Termes IGN] CityGML
[Termes IGN] format Industry foudation classes IFC
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] modélisation du bâti
[Termes IGN] niveau de détail
[Termes IGN] sémantiqueRésumé : (auteur) Using solid building models, instead of the surface models in City Geography Markup Language (CityGML), can facilitate data integration between Building Information Modeling (BIM) and Geographic Information System (GIS). The use of solid models, however, introduces a problem of model simplification on the GIS side. The aim of this study is to solve this problem by developing a framework for generating simplified solid building models from BIM. In this framework, a set of Level of Details (LoDs) were first defined to suit solid building models—referred to as s-LoD, ranging from s-LoD1 to s-LoD4—and three unique problems in implementing s-LoDs were identified and solved by using a semantics-based approach, including identifying external objects for s-LoD2 and s-LoD3, distinguishing various slabs, and generating valid external walls for s-LoD2 and s-LoD3. The feasibility of the framework was validated by using BIM models, and the result shows that using semantics from BIM can make it easier to convert and simplify building models, which in turn makes BIM information more practical in GIS. Numéro de notice : A2021-859 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/rs13224727 Date de publication en ligne : 22/11/2021 En ligne : https://doi.org/10.3390/rs13224727 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99073
in Remote sensing > vol 13 n° 22 (November-2 2021) . - n° 4727[article]