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    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/116007

    題名: Simulation analysis of the search effectiveness on information-based firefighting
    作者: Hui, Lin;Wang, Kuei Min;Chen, Yung-Hui;Hung, Fu-Yi
    關鍵詞: firefighting;simulation;obstacle;search;internet of things;IoT
    日期: 2018-09-19
    上傳時間: 2019-03-16 12:11:28 (UTC+8)
    摘要: Nowadays, fire accident is still a thorny problem due to the current firefighting still heavily relies on the experience instead of information. Saving lives from fireground is the primary task in firefighting, in which the speed of effective search largely relies on the sufficient and instant information. When insufficient information situation follows firefighter tightly, the firefighter's life can be jeopardised. Equipped firefighter with the advancing information technology, such as IR, laser range-finder, camera, augmented reality and an unmanned aerial vehicle for acquiring more fireground information may be useful for firefighting task. This study focuses on using Monte Carlo simulation model to quantify the feasible alternatives and finds out the significant effect by t-test. The result showed the time in search of victim is significantly reduced as using new way of firefighting. The contribution of this paper is to disclose the value of the proposed information-based technology in support of firefighting.
    關聯: International Journal of Social and Humanistic Computing 2018 3(1), p.20-33
    DOI: 10.1504/IJSHC.2018.095009
    顯示於類別:[資訊創新與科技學系] 期刊論文


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