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Article: Automatic building information model query generation

TitleAutomatic building information model query generation
Authors
KeywordsBIM
Data integration
Query generation
Case study
Issue Date2015
PublisherInternational Council for Research and Innovation in Building and Construction. The Journal's web site is located at http://www.itcon.org
Citation
Journal of Information Technology in Construction, 2015, v. 20, p. 518-535 How to Cite?
AbstractEnergy efficient building design and construction calls for extensive collaboration between different subfields of the Architecture, Engineering and Construction (AEC) community. Performing building design and construction engineering raises challenges on data integration and software interoperability. Using Building Information Modeling (BIM) data hub to host and integrate building models is a promising solution to address those challenges, which can ease building design information management. However, the partial model query mechanism of current BIM data hub collaboration model has several limitations, which prevents designers and engineers to take advantage of BIM. To address this problem, we propose a general and effective approach to generate query code based on a Model View Definition (MVD). This approach is demonstrated through a software prototype called QueryGenerator. By demonstrating a case study using multi-zone air flow analysis, we show how our approach and tool can help domain experts to use BIM to drive building design with less labour and lower overhead cost.
Persistent Identifierhttp://hdl.handle.net/10722/222474
ISSN
2023 Impact Factor: 3.6
2023 SCImago Journal Rankings: 0.733

 

DC FieldValueLanguage
dc.contributor.authorJiang, Y-
dc.contributor.authorYu, N-
dc.contributor.authorMing, J-
dc.contributor.authorLee, S-
dc.contributor.authorDeGraw, J-
dc.contributor.authorYen, J-
dc.contributor.authorMessner, JI-
dc.contributor.authorWu, D-
dc.date.accessioned2016-01-18T07:41:03Z-
dc.date.available2016-01-18T07:41:03Z-
dc.date.issued2015-
dc.identifier.citationJournal of Information Technology in Construction, 2015, v. 20, p. 518-535-
dc.identifier.issn1874-4753-
dc.identifier.urihttp://hdl.handle.net/10722/222474-
dc.description.abstractEnergy efficient building design and construction calls for extensive collaboration between different subfields of the Architecture, Engineering and Construction (AEC) community. Performing building design and construction engineering raises challenges on data integration and software interoperability. Using Building Information Modeling (BIM) data hub to host and integrate building models is a promising solution to address those challenges, which can ease building design information management. However, the partial model query mechanism of current BIM data hub collaboration model has several limitations, which prevents designers and engineers to take advantage of BIM. To address this problem, we propose a general and effective approach to generate query code based on a Model View Definition (MVD). This approach is demonstrated through a software prototype called QueryGenerator. By demonstrating a case study using multi-zone air flow analysis, we show how our approach and tool can help domain experts to use BIM to drive building design with less labour and lower overhead cost.-
dc.languageeng-
dc.publisherInternational Council for Research and Innovation in Building and Construction. The Journal's web site is located at http://www.itcon.org-
dc.relation.ispartofJournal of Information Technology in Construction-
dc.subjectBIM-
dc.subjectData integration-
dc.subjectQuery generation-
dc.subjectCase study-
dc.titleAutomatic building information model query generation-
dc.typeArticle-
dc.identifier.emailLee, S: shlee1@hku.hk-
dc.identifier.authorityLee, S=rp01910-
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros256798-
dc.identifier.volume20-
dc.identifier.spage518-
dc.identifier.epage535-
dc.publisher.placeNetherlands-
dc.identifier.issnl1874-4753-

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