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Title: Automatic building information model query generation

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. 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.

Authors:
 [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:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1293810
Report Number(s):
NREL/JA-5500-66929
Journal ID: ISSN 1874-4753
Grant/Contract Number:
AC36-08GO28308; EE0004261
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Information Technology in Construction
Additional Journal Information:
Journal Volume: 20; Journal ID: ISSN 1874-4753
Publisher:
International Council for Research and Innovation in Building and Constructing
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; BIM; data integration; query generation; case study

Citation Formats

Jiang, Yufei, Yu, Nan, Ming, Jiang, Lee, Sanghoon, DeGraw, Jason, Yen, John, Messner, John I., and Wu, Dinghao. Automatic building information model query generation. United States: N. p., 2015. Web.
Jiang, Yufei, Yu, Nan, Ming, Jiang, Lee, Sanghoon, DeGraw, Jason, Yen, John, Messner, John I., & Wu, Dinghao. Automatic building information model query generation. United States.
Jiang, Yufei, Yu, Nan, Ming, Jiang, Lee, Sanghoon, DeGraw, Jason, Yen, John, Messner, John I., and Wu, Dinghao. Tue . "Automatic building information model query generation". United States. doi:. https://www.osti.gov/servlets/purl/1293810.
@article{osti_1293810,
title = {Automatic building information model query generation},
author = {Jiang, Yufei and Yu, Nan and Ming, Jiang and Lee, Sanghoon and DeGraw, Jason and Yen, John and Messner, John I. and Wu, Dinghao},
abstractNote = {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.},
doi = {},
journal = {Journal of Information Technology in Construction},
number = ,
volume = 20,
place = {United States},
year = {Tue Dec 01 00:00:00 EST 2015},
month = {Tue Dec 01 00:00:00 EST 2015}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
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