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  • 學位論文

博物館火災緊急撤離模式

The Evacuation Model of Museum for Fire Emergency

指導教授 : 林正平

摘要


本研究提供新的撤離模式,模擬博物館各展示區中人員及文物之緊急撤離行動,並評估相關撤離行動中可能遭遇之瓶頸及風險。有關人員緊急撤離模式可提供博物館方評估相關人員於火災緊急撤離所需時間之參考。文物撤離模式係參考物流倉儲常見之檢貨(Order Picking)觀念,並加上軌跡移動模式(Path Moving Model)而建立,可應用於描述於火災情境下文物緊急撤離之搶救行動。另本研究採用蒙地卡羅模擬(Monte-Carlo Simulation),以評估上述2種模式之不確定性及其風險。火災動力模擬軟體FDS (Fire Dynamics Simulator)亦被採用以進行煙流行為研究。另本研究以國立故宮博物院之展覽室為案例研究對象,分別探討於7種火災情境下,煙流之流動、煙層下降情形以及在火災歷程中,各展示區溫度變化之情況,並以此作為人員及文物撤離之時間限制條件。此外,藉由案例中不確定性及風險分析之結果可證明,本研究之模式可提供決策者在制定文物緊急撤離計畫需投入之人力資源分析,以及評估文物與人員進行緊急撤離時可能遭遇之瓶頸與風險,俾供博物人員方進行後續防災設備更新及防災行動改進之參考。

並列摘要


This research focuses on fire emergencies and presents a new method to evacuate people and collections in Museum. The people evacuation model present evacuative time limite for fire emergency.The collection evacuation model uses order picking method and describes a path moving model to simulate an collections evacuation in fire emergency. To evaluate the uncertainty and risk of the model, a Monte-Carlo simulation method is applied. A Fire Dynamics Simulator (FDS) is introduced as the tool to investigate smoke behavior. A case study for the National Palace Museum (NPM) in a single exhibition room is discussed. The case study shows the setup for seven types of scenarios. The smoke layer is set up as the limiting condition of evacuation time. In addition, with the risk analysis results, this research is able to prove that it can offer to a decision maker an evaluation of the manpower requirements and the risk probability of the evacuation mission.

參考文獻


40.李慶彥,煙流行為於博物館火災避難逃生決策支援模式之研究-以國立故宮博物院為例,碩士論文,臺北科技大學,臺北,2007。
1.G. E. Burcaw, Introduction to Museum Work, American Association for State and Local History, 1975, pp. 98.
4.W. K. Chow and J. Li, “Evacuation Of Atria Under Different Uses”, Journal of Architectural Engineering, vol. 13, no.2, 2007, pp. 72- 83.
5.M. Isobe, D. Helbing, and T. Nagatani, “Experiment, Theory, And Simulation Of The Evacuation Of A Room Without Visibility”, Physical Review E, vol.69, no.066132, 2004, pp. 1-10.
6.D. Helbing and A. Johansson, “Dynamics Of Crowd Disasters: An Empirical Study”. Physical Review E. vol.75, no.046109, 2007, pp. 1-7.

被引用紀錄


張崇展(2014)。軌道運輸理論協助病患避難之不確定性分析〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2014.00212

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