Ass. Prof. PhD Philipp Zech, Peter Burger, Dr. techn. M.Sc. Sascha Hammes, Dipl.-Ing. Dr. techn. David Geisler-Moroder, Univ.-Prof. Dr. Ruth Breu
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引用次数: 0
Abstract
Compliance inspections and building analysis are critical to the success of any construction project. At present, such assessments are primarily conducted manually by experts in the architecture, engineering and construction (AEC) sector resulting in a tedious, labor-intensive, and generally inefficient undertaking. Yet, with the gradual adoption of Building Information Modeling (BIM), automated building analysis and compliance checking become feasible. The Industry Foundation Classes (IFC) has received a lot of traction in the AEC industry as a vendor-neutral data model. Its well-defined semantics can be exploited by reasoning engines that allow for semantic reasoning on building models, the core mechanism required for automated compliance checking and building analysis. In this paper, a general-purpose model checking framework for IFC building models, as well as an appropriate specification layout are introduced. Model checking via semantic reasoning is realized using various technologies from the Semantic Web. To present and evaluate our implementation, a sample specification is developed and tested on two IFC building models.
合规性检查和建筑分析对任何建设项目的成功都至关重要。目前,这样的评估主要是由建筑、工程和建筑(AEC)领域的专家手工进行的,这导致了一项繁琐、劳动密集型和通常效率低下的工作。然而,随着建筑信息模型(BIM)的逐步采用,自动化的建筑分析和合规性检查成为可能。工业基础类(Industry Foundation Classes, IFC)作为一种与供应商无关的数据模型,在AEC行业中受到了广泛关注。它定义良好的语义可以被推理引擎利用,推理引擎允许对构建模型进行语义推理,这是自动遵从性检查和构建分析所需的核心机制。本文介绍了一种通用的IFC建筑模型检验框架,并给出了相应的规范布局。通过语义推理的模型检查是利用语义Web中的各种技术实现的。为了展示和评估我们的实现,开发了一个示例规范,并在两个IFC建筑模型上进行了测试。
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