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Intelligent control of building fire protection system using digital twins and semantic web technologies
Abstract A fire protection system takes on a critical significance to building operation. This paper describes the use of digital twins (DTs) and semantic web technologies for the intelligent control of building fire protection (BFP) systems in fire accidents. Specifically, a data fusion stage and several information-based control mechanisms are involved in the use of the two technologies. A designed BFP ontology is considered as the semantic model and basis of data fusion between the static building geometric information and the dynamic sensing data. The above information is incorporated into a DT data model, which is considered as the mapping of physical space. Moreover, rule models and process models are developed to achieve intelligent control mechanisms and keep the DT data model synced with the physical space. A case study based on a fire accident simulation was conducted to verify the feasibility of the use of DTs and semantic web technologies.
Highlights The DT framework includes data fusion and information-based control mechanisms. An ontology is designed as the semantic model for data fusion. Linked data method is used to integrate static and dynamic data into an RDF graph. Rule model and process model are used to achieve intelligent control mechanisms. This paper offers new ideas for active control of building fire protection systems.
Intelligent control of building fire protection system using digital twins and semantic web technologies
Abstract A fire protection system takes on a critical significance to building operation. This paper describes the use of digital twins (DTs) and semantic web technologies for the intelligent control of building fire protection (BFP) systems in fire accidents. Specifically, a data fusion stage and several information-based control mechanisms are involved in the use of the two technologies. A designed BFP ontology is considered as the semantic model and basis of data fusion between the static building geometric information and the dynamic sensing data. The above information is incorporated into a DT data model, which is considered as the mapping of physical space. Moreover, rule models and process models are developed to achieve intelligent control mechanisms and keep the DT data model synced with the physical space. A case study based on a fire accident simulation was conducted to verify the feasibility of the use of DTs and semantic web technologies.
Highlights The DT framework includes data fusion and information-based control mechanisms. An ontology is designed as the semantic model for data fusion. Linked data method is used to integrate static and dynamic data into an RDF graph. Rule model and process model are used to achieve intelligent control mechanisms. This paper offers new ideas for active control of building fire protection systems.
Intelligent control of building fire protection system using digital twins and semantic web technologies
Jiang, Liu (author) / Shi, Jianyong (author) / Wang, Chaoyu (author) / Pan, Zeyu (author)
2022-12-19
Article (Journal)
Electronic Resource
English
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