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Title: Automatic building information model query generation

Journal Article · · Journal of Information Technology in Construction
OSTI ID:1293810
 [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

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.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC36-08GO28308; EE0004261
OSTI ID:
1293810
Report Number(s):
NREL/JA-5500-66929
Journal Information:
Journal of Information Technology in Construction, Vol. 20; ISSN 1874-4753
Publisher:
International Council for Research and Innovation in Building and ConstructingCopyright Statement
Country of Publication:
United States
Language:
English