Automatic Building Information Model Query Generation

Jason DeGraw, Yufei Jiang, Nan Yu, Jiang Ming, Sanghoon Lee, John Yen, John Messner, Dinghao Wu

Research output: Contribution to journalArticlepeer-review

12 Scopus Citations

Abstract

Energy 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.
Original languageAmerican English
Pages (from-to)518-535
Number of pages18
JournalJournal of Information Technology in Construction
Volume20
StatePublished - 2015

NREL Publication Number

  • NREL/JA-5500-66929

Keywords

  • BIM
  • case study
  • data integration
  • query generation

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