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Title: Simulation analysis of the search effectiveness on information-based firefighting

Authors: Lin Hui; Kuei Min Wang; Yung-Hui Chen; Fu-Yi Hung

Addresses: Department of Innovative Information and Technology, Tamkang University, No. 180, Linwei Rd., Jiaoxi Township, Yilan County 26247, Taiwan ' Department of Information Management, Shih Chien University, No. 200 University Road, Neimen, Kaohsiung 84550, Taiwan ' Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, No. 300, Sec.1, Wanshou Rd., Guishan District, Taoyuan City, 33306, Taiwan ' Department of Innovative Information and Technology, Tamkang University, No. 180, Linwei Rd., Jiaoxi Township, Yilan County 26247, Taiwan

Abstract: 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.

Keywords: firefighting; simulation; obstacle; search; internet of things; IoT.

DOI: 10.1504/IJSHC.2018.095009

International Journal of Social and Humanistic Computing, 2018 Vol.3 No.1, pp.20 - 33

Received: 14 Mar 2018
Accepted: 30 Mar 2018

Published online: 25 Sep 2018 *

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