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Inferred information (distance information) repository of Industry Foundation Classes (IFC)-based Building Information Modeling (BIM)

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DataCite Commons2025-12-18 更新2024-07-13 收录
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https://purr.purdue.edu/publications/4389/1
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<p>BIM design information can be classified as explicit information and inferred information in the context of code compliance checking. Explicit information, such as dimensions, materials, and geometric shapes, is directly represented in a BIM model and is easily accessible by users. Inferred information such as distance information, on the other hand, is not directly represented in the BIM model but can be derived or inferred from explicit information. While representing explicit design information from BIM models is relatively straightforward, the extraction and processing of inferred information require a more substantial effort. We developed an automated method aimed at efficiently processing and gathering explicit information, specifically position and distance data, from three IFC-based BIM models. To validate the effectiveness of our approach, we compared its results with those obtained through manual methods, and we subsequently compiled this repository.</p> <p>The BIM models included in this repository consist of a hotel model, a convenience store, and a fast-food restaurant, all provided by our industry partner, located in Texas. Within this repository, we offer access to the 3D global coordinates of the central points of 242 building components, including windows, plates, and doors, along with their corresponding minimal distance information. Additionally, we included a comprehensive comparison of the two approaches - automated and manual - within the repository.</p> <p>This dataset contains vital location information for each component and can prove instrumental in supporting various automation tasks within the architecture, engineering, and construction (AEC) domain, including but not limited to automated compliance checking and streamlining site scheduling processes.</p>
提供机构:
Purdue University Research Repository
创建时间:
2023-09-26
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