Simulation analysis of the search effectiveness on information-based firefighting

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/115232

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题名:	Simulation analysis of the search effectiveness on information-based firefighting
作者:	Lin Hui;Kuei Min Wang;Yung-Hui Chen;Fu-Yi Hung
关键词:	firefighting;simulation;obstacle;search;internet of things;IoT
日期:	2018-09
上传时间:	2018-10-18 12:11:24 (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 3(1), p.20-33
DOI:	10.1504/IJSHC.2018.095009
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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