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Ontology-based framework for building environmental monitoring and compliance checking under BIM environment

机译:基于本体的框架,用于在BIM环境下进行环境监控和合规性检查

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Building environmental monitoring and compliance checking are important in ensuring environmental performance. The information required for monitoring and checking is obtained from different data sources in different information systems. In this context, information sharing between stakeholders and the semantic interoperability that prevails with varying information systems are necessary. However, the implementation of information sharing and semantic interoperability can be a challenge. This paper proposes an ontology-based framework to support environmental monitoring and compliance checking under building information modeling (BIM) environment among different information systems. The framework integrates building information from BIM, environmental information provided by sensors, and regulatory information based on building regulations and design requirements. In this framework, four specific ontologies are developed to represent relevant knowledge. Building information is extracted from BIM and then converted, together with environmental information provided by sensors, into resource description framework format as ontology instances. The regulation clauses are transformed into SPARQL (SPARQL Protocol and RDF Query Language) rules. A case study is performed to apply the framework, and environmental monitoring and automated compliance checking are implemented in the context of a real distributed energy station project. The testing results validate the feasibility and effectiveness of the proposed framework.
机译:建筑环境监测和合规性检查对于确保环境绩效至关重要。监视和检查所需的信息是从不同信息系统中的不同数据源获得的。在这种情况下,利益相关者之间的信息共享以及在各种信息系统中普遍存在的语义互操作性是必要的。但是,信息共享和语义互操作性的实现可能是一个挑战。本文提出了一种基于本体的框架,以支持在不同信息系统之间的建筑信息模型(BIM)环境下进行环境监视和合规性检查。该框架集成了来自BIM的建筑信息,传感器提供的环境信息以及基于建筑法规和设计要求的法规信息。在此框架中,开发了四种特定的本体来表示相关知识。从BIM中提取建筑信息,然后将其与传感器提供的环境信息一起转换为资源描述框架格式,作为本体实例。规则条款转换为SPARQL(SPARQL协议和RDF查询语言)规则。进行了案例研究以应用该框架,并在实际的分布式能源站项目的背景下实施了环境监控和自动合规性检查。测试结果验证了该框架的可行性和有效性。

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