導入建築資訊模型與本體論之自動化火場搶救佈署作法-以住宿式長照機構建築為例

Chang Yuan Liu, Pai Yu Wu, Jia Cheng Tan, Mei Ling Chuang, Ru Guan Wang, Chien Cheng Chou

研究成果: 雜誌貢獻期刊論文同行評審

摘要

With our population aging, the need of long-term care (LTC) services is increasing year by year. This also makes people pay attention to the operations of LTC services. But in recent years, the number of fire casualties in LTC facilities is also escalating. Literature shows that neither increasing the frequency of fire exercises nor improving the nurse-patient ratio is an effective method. In this study, building information modeling and ontology are utilized to automatically plan rescue routes, considering a LTC facility with complex floor plans and with building components and materials requiring destruction. The proposed approach can accommodate various real-time changes due to physical status of firefighters, environmental constraints, and the issues related to forcible entry tools. Operations of LTC facilities may become safer if the proposed system is employed.

貢獻的翻譯標題An Automatic Fire Rescue Deployment Method Using Building Information Modeling and Ontology: Taking Long-Term Care Institutes as an Example
原文繁體中文
頁(從 - 到)641-651
頁數11
期刊Journal of the Chinese Institute of Civil and Hydraulic Engineering
33
發行號8
DOIs
出版狀態已出版 - 12月 2021

Keywords

  • Building information modeling
  • Fire rescue
  • Long-term care
  • Ontology

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