A BIM Information Processing Framework to Facilitate Enriched BIM Applications
Publication: Construction Research Congress 2022
ABSTRACT
It has become more common to use Building Information Modeling (BIM) to effectively integrate information among different phases of a construction project. However, due to the employment of different BIM software tools or platforms among different stakeholders, inconsistent or missing data are usually observed, which leads to difficulty in data communication and therefore low-working efficiency. To address that, an information checking, provision, and application process (ICPAP) framework was proposed in this paper with three main functions: model information analysis, guided information provision, and information consumption application (e.g., cost estimation). Algorithms developed under this framework can automatically integrate and check information from Industry Foundation Classes (IFC) models to guide information provision to further feed other information consumption services. An experiment was conducted to test the framework at the material information level, in which a 12-storey model was selected to conduct information analysis and information provision based on customized input requirements of concrete material, to serve further BIM applications (e.g., structural analysis and cost estimation). The evaluation was conducted from time efficiency and accuracy perspectives in comparison with pure manual operation, which demonstrated that the proposed framework led to higher performance on time efficiency and accuracy compared to a manual procedure. It enables the information communication from decentralized platforms to a centralized BIM, and considers the application needs during the checking to facilitate automated information provision suggestion for targeted applications. The proposed framework provides a new approach to facilitate BIM enrichment to better serve Architecture, Engineering, and Construction (AEC) applications.
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Construction Research Congress 2022
Pages: 1135 - 1144
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Published online: Mar 7, 2022
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