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http://dx.doi.org/10.6106/KJCEM.2017.18.3.063

Automation of Information Extraction from IFC-BIM for Indoor Air Quality Certification  

Hong, Simheee (Department of Architectural Engineering, Kwangwoon University)
Yeo, Changjae (Department of Architectural Engineering, Kwangwoon University)
Yu, Jungho (Department of Architectural Engineering, Kwangwoon University)
Publication Information
Korean Journal of Construction Engineering and Management / v.18, no.3, 2017 , pp. 63-73 More about this Journal
Abstract
In contemporary society, it is increasingly common to spend more time indoors. As such, there is a continually growing desire to build comfortable and safe indoor environments. Along with this trend, however, there are some serious indoor-environment challenges, such as the quality of indoor air and Sick House Syndrome. To address these concerns the government implements various systems to supervise and manage indoor environments. For example, green building certification is now compulsory for public buildings. There are three categories of green building certification related to indoor air in Korea: Health-Friendly Housing Construction Standards, Green Standard for Energy & Environmental Design(G-SEED), and Indoor Air Certification. The first two types of certification, Health-Friendly Housing Construction Standards and G-SEED, evaluate data in a drawing plan. In comparison, the Indoor Air Certification evaluates measured data. The certification using data from a drawing requires a considerable amount of time compared to other work. A 2D tool needs to be employed to measure the area manually. Thus, this study proposes an automatic assessment process using a Building Information Modeling(BIM) model based on 3D data. This process, using open source Industry Foundation Classes(IFC), exports data for the certification system, and extracts the data to create an Excel sheet for the certification. This is expected to improve the work process and reduce the workload associated with evaluating indoor air conditions.
Keywords
IFC; BIM; Indoor Air Quality; Automatic Assessment; Certification;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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