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IFC-Based Partial Data Model Retrieval for Distributed Collaborative Design

机译:基于IFC的分布式协同设计局部数据模型检索

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To deal with the growing complexity of Industry Foundation Classes (IFC) models, a partial model has always been proposed as an effective way to satisfy users' specific requirements by tailoring the central model. The traditional approaches with IFC-validated partial models have the problems of high structural complexity and low data density. This paper proposes an IFC property-based model generation method to support domain-specific data extraction with a property-based model view definition (MVD). This approach removes data-irrelevant IFC definitions while keeping data links between the view and the IFC central model. Based on the MVD, an algorithm is designed to extract the required properties from the central IFC model by recursively iterating through IFC data instances for two types of properties. The proposed approach has been implemented on the top of the open source BIMserver platform. Its feasibility and efficiency have been validated through a set of practical examples. Compared to central IFC model and IFC-validated partial model approach, the experiment results show that our proposed approach achieves the smallest model size, the fastest speed for model loading, the least memory usage, and the lowest network transmission overhead. (C) 2019 American Society of Civil Engineers.
机译:为了应对日益增长的行业基础分类(IFC)模型的复杂性,一直建议使用局部模型作为通过定制中心模型来满足用户特定要求的有效方法。具有IFC验证的局部模型的传统方法存在结构复杂度高和数据密度低的问题。本文提出了一种基于IFC属性的模型生成方法,以支持基于属性的模型视图定义(MVD)的特定领域数据提取。这种方法删除了与数据无关的IFC定义,同时保留了视图和IFC中心模型之间的数据链接。基于MVD,设计了一种算法,该算法通过递归遍历两种类型的属性的IFC数据实例从中央IFC模型中提取所需的属性。提议的方法已在开源BIMserver平台的顶部实现。通过一系列实例验证了其可行性和效率。与中央IFC模型和IFC验证的局部模型方法相比,实验结果表明,我们提出的方法实现了最小的模型大小,最快的模型加载速度,最少的内存使用以及最低的网络传输开销。 (C)2019美国土木工程师学会。

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