期刊
SUSTAINABILITY
卷 11, 期 14, 页码 -出版社
MDPI
DOI: 10.3390/su11143973
关键词
green building design; ontology; BIM; social involvement
资金
- National Natural Science Foundation of China [71272147]
- Tianjin Science and Technology Committee [15ZXHLSF00070]
While many countries have developed green building rating systems (GBRSs) to promote the concept of green buildings, it is difficult for designers to achieve better sustainability in the design process when using the real-time green building rating score as a reference. This paper proposes an intelligent green building rating (iGBR) framework supported by a semantic and social approach to realize real-time rating in building design. The framework features four components: (1) An ontology that is used to encapsulate the knowledge of green building rating, (2) score calculation rules that are encoded in Semantic Web Rule Language (SWRL), (3) Autodesk Forge, which is employed as a building information modeling (BIM)-based design platform to synchronize design models from different professions in the cloud, and (4) a group chat tool to connect all project participants in a social communication environment to effectively exchange data/information required for score calculation. A prototype iGBR system is developed based on the Evaluation Standard for Green Building of China (ESGBC) to verify the framework, so that a total of 95 articles can be assessed automatically in the real-time approach.
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