A semantic framework for on-site evacuation routing based on awareness of obstacle accessibility

Deng, Hui; Tian, Mingliang; Ou, Zhibin; Deng, Yichuan

doi:10.1016/j.autcon.2022.104154

Cited by 8 publications

(2 citation statements)

References 52 publications

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“…Additionally, Sun and Turkan [ 11 ] devised a simulation framework that incorporates a fire dynamics simulator and intelligent agent-based modeling, utilizing Building Information Modeling (BIM) to assess fire development and evacuation procedures in various spatial layouts, thereby offering valuable insights for fire scenario decision-making. BIM technology is increasingly integral in the realm of building construction emergencies, as it provides a comprehensive view of a building's interior, thereby aiding safety managers in crafting precise decisions and efficient emergency rescue plans [ [12] , [13] , [14] ].…”

Section: Literature Reviewmentioning

confidence: 99%

Integrating FRAM and BN for enhanced resilience evaluation in construction emergency response: A scaffold collapse case study

Guo,

She,

et al. 2024

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

Integrating FRAM and BN for enhanced resilience evaluation in construction emergency response: A scaffold collapse case study

Guo,

She,

et al. 2024

Heliyon

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“…Monitoring and management of quality, schedule, cost, and safety IFC data; construction specification; on-site records [26,57,70,73,81,85,89,95,112,133,135,[158][159][160] Operation and maintenance phase Building energy management, culture heritage maintenance, defect detection, etc.…”

Section: Preconstruction Phasementioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

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Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

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Automatic Detection of Personal Protective Equipment in Construction Sites Using Metaheuristic Optimized YOLOv5

Nguyen,

Tran,

Dao

et al. 2024

Arab J Sci Eng

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A semantic framework for on-site evacuation routing based on awareness of obstacle accessibility

Cited by 8 publications

References 52 publications

Integrating FRAM and BN for enhanced resilience evaluation in construction emergency response: A scaffold collapse case study

Integrating FRAM and BN for enhanced resilience evaluation in construction emergency response: A scaffold collapse case study

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Automatic Detection of Personal Protective Equipment in Construction Sites Using Metaheuristic Optimized YOLOv5

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