A Semantic-Based Methodology to Deliver Model Views of Forward Design for Prefabricated Buildings
Auteur(s): |
Zhao Xu
Jiali Wang Huixian Zhu |
---|---|
Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 31 juillet 2022, n. 8, v. 12 |
Page(s): | 1158 |
DOI: | 10.3390/buildings12081158 |
Abstrait: |
Contemporary engineering in the construction field has put forward higher requirements on the value utilization of building information models, and as the prefabricated building is the core of construction industrialization, using BIM (Building Information Model) technology to realize the forward design of prefabricated buildings and maximize the value of BIM is in urgent demand in the current construction industry. However, in the application process of forward design, there is a lack of standardized implementation guidance and mature technical support, leading to many problems such as a redundancy of model information, heterogeneity of data information, and low efficiency of transmission. Based on this, this paper proposes a model view delivery method of forward design for prefabricated buildings. Firstly, a simplified assembly model and an assembly knowledge model are designed and extended with IFC (Industry Foundation Classes), then we realize the knowledge visualization expression by combining with an ontology semantic system. For the model view of a prefabricated building domain, this paper realizes the reusable concept module by ontology IDM (Information Delivery Manual) and properties selection of knowledge graphs, and then completes the model view delivery through data mapping and IfcDoc (Ifc Documentation Generator) tool output. Finally, the implementation model of information delivery management for forward design is built with model view delivery as the central link. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
10.39 MB
- Informations
sur cette fiche - Reference-ID
10688432 - Publié(e) le:
13.08.2022 - Modifié(e) le:
10.11.2022