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IFC-Based Graph Data Model for Topological Queries on Building Elements

机译:基于IFC的建筑元素拓扑查询图数据模型

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The adoption of building information modeling (BIM) in construction has led to greater integration of architecture, engineering, construction/facility management (AEC/FM) stakeholders at the project design stage; the result being the incorporation of new complex tasks into construction applications. However, conventional two-dimensional (2D) and nonsemantic three-dimensional (3D) models cannot handle the topological analysis of 3D objects that is required by BIM, especially with regard to building elements. This article describes a new schema, termed the graph data model (GDM) that can be used to employ semantic information, to extract, analyze, and present the topological relationships among 3D objects in 3D space, and to perform topological queries faster. This GDM uses weighted graph principles for simplicity and incorporates an industry foundation classes (IFC)-based algorithm for automatic deduction of topological relationships. A prototype of GDM is implemented in a C# platform and verified using two types of queries in a case study of a commercial building.
机译:在建筑中采用建筑信息模型(BIM)已导致在项目设计阶段更好地整合了建筑,工程,建筑/设施管理(AEC / FM)利益相关者。结果是将新的复杂任务合并到建筑应用程序中。但是,常规的二维(2D)模型和非语义的三维(3D)模型无法处理BIM所需的3D对象的拓扑分析,尤其是在建筑元素方面。本文介绍了一种称为图数据模型(GDM)的新模式,该模式可用于使用语义信息,提取,分析和呈现3D空间中3D对象之间的拓扑关系,并更快地执行拓扑查询。该GDM为简化起见使用加权图原理,并结合了基于行业基础分类(IFC)的算法,用于自动推论拓扑关系。 GDM的原型在C#平台中实现,并在商业建筑的案例研究中使用两种类型的查询进行了验证。

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