Automated BIM Object Classification to Support BIM Interoperability

Automated BIM Object Classification to Support BIM Interoperability
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DOI:
10.1061/9780784481301.070
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发表时间:
2018-03
期刊:
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影响因子:
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通讯作者:
Jin Wu;Jiansong Zhang
Jin Wu;Jiansong Zhang
中科院分区:
其他
文献类型:
--
作者:
Jin Wu;Jiansong Zhang

文献摘要

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ISO注册的行业基础类(IFC)数据标准可以通过允许建筑、工程和建筑(AEC)行业中的“一对一”软件信息流模式而不是更复杂的“多对多”信息流模式来促进建筑信息建模(BIM)的互操作性。然而,即使完全采用IFC也无法保证无缝的BIM互操作性,因为采用/使用IFC标准具有灵活性。BIM中的对象分类是BIM互操作性的重要组成部分。作为追求无缝BIM互操作性的初步努力的一部分,作者建议使用IFC对象的内在几何表示和几何定理来支持自动BIM对象分类。提出了一种六步方法,使用数据驱动的方法开发自动IFC对象分类算法。该方法进行了初步测试分类IFC对象成一个圆锥台形状。所开发的算法成功地测试了三个看不见的桥梁数据。这表明了所提出的方法支持无错误BIM对象分类的早期承诺。
The ISO-registered industry foundation classes (IFC) data standard can facilitate building information modeling (BIM) interoperability by allowing a “one-tomany” software information flow pattern in the architecture, engineering, and construction (AEC) industry instead of the more complex “many-to-many” information flow pattern. However, even a full adoption of IFC cannot guarantee a seamless BIM interoperability, because of the flexibility allowed in adopting/using the IFC standard. Object classification in BIM is an important part of BIM interoperability. As part of an initial effort to pursue seamless BIM interoperability, the authors propose to use intrinsic geometric representations of IFC objects and geometric theorems to support the automated BIM object classification. A six-step method was proposed to develop automated IFC object classification algorithms using a data-driven approach. The method was preliminarily tested on classifying IFC objects into a cone frustum shape. The developed algorithm was successfully tested on three unseen bridge data. This shows an early promise of the proposed method to support error-free BIM object classification.