Querying a building information model for construction-specific spatial information


Autoria(s): Nepal, Madhav Prasad; Staub-French, Sheryl; Pottinger, Rachel; Webster, April
Data(s)

01/10/2012

Resumo

The design and construction community has shown increasing interest in adopting building information models (BIMs). The richness of information provided by BIMs has the potential to streamline the design and construction processes by enabling enhanced communication, coordination, automation and analysis. However, there are many challenges in extracting construction-specific information out of BIMs. In most cases, construction practitioners have to manually identify the required information, which is inefficient and prone to error, particularly for complex, large-scale projects. This paper describes the process and methods we have formalized to partially automate the extraction and querying of construction-specific information from a BIM. We describe methods for analyzing a BIM to query for spatial information that is relevant for construction practitioners, and that is typically represented implicitly in a BIM. Our approach integrates ifcXML data and other spatial data to develop a richer model for construction users. We employ custom 2D topological XQuery predicates to answer a variety of spatial queries. The validation results demonstrate that this approach provides a richer representation of construction-specific information compared to existing BIM tools.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/58162/

Publicador

Pergamon Elsevier

Relação

http://eprints.qut.edu.au/58162/1/58162.pdf

DOI:10.1016/j.aei.2012.08.003

Nepal, Madhav Prasad, Staub-French, Sheryl, Pottinger, Rachel, & Webster, April (2012) Querying a building information model for construction-specific spatial information. Advanced Engineering Informatics, 26(4), pp. 904-923.

Direitos

Copyright 2012 Pergamon Elsevier

This is the author's version of a work that was accepted for publication in Advanced Engineering Informatics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Advanced Engineering Informatics, [26, 4, (2012)] http://dx.doi.org/10.1016/j.aei.2012.08.003

Fonte

School of Civil Engineering & Built Environment; Science & Engineering Faculty

Palavras-Chave #080401 Coding and Information Theory #080604 Database Management #080609 Information Systems Management #089999 Information and Computing Sciences not elsewhere classified #090599 Civil Engineering not elsewhere classified #120201 Building Construction Management and Project Planning
Tipo

Journal Article