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Title: Automatic building information model query generation

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. In conclusion, 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.
 [1] ;  [1] ;  [1] ;  [2] ;  [3] ;  [1] ;  [1] ;  [4]
  1. Pennsylvania State Univ., University Park, PA (United States)
  2. Univ. of Hong Kong (China). Dept. of Civil Engineering
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  4. Pennsylvania State Univ., University Park, PA (United States
Publication Date:
Report Number(s):
Journal ID: ISSN 1874-4753
Grant/Contract Number:
AC36-08GO28308; EE0004261
Accepted Manuscript
Journal Name:
Journal of Information Technology in Construction
Additional Journal Information:
Journal Volume: 20; Journal ID: ISSN 1874-4753
International Council for Research and Innovation in Building and Constructing
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
97 MATHEMATICS AND COMPUTING; BIM; data integration; query generation; case study
OSTI Identifier: