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논문 기본 정보

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학술저널
저자정보
Lee, Minwoo (Graduate School of Nano IT Design Fusion, Seoul National Univ. of Science & Tech.) Mariappan, Vinayagam (Graduate School of Nano IT Design Fusion, Seoul National Univ. of Science & Tech.) Lee, Junghoon (Dept. of Electrical Information Control, Dong Seoul College) Cho, Juphil (Dept. Of Integrated IT & Communication Eng., Kunsan National University) Cha, Jaesang (Graduate School of Nano IT Design Fusion, Seoul National Univ. of Science & Tech.)
저널정보
(사)국제문화기술진흥원 The International journal of advanced culture technology The International journal of advanced culture technology 제5권 제1호
발행연도
2017.1
수록면
58 - 63 (6page)

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Emergencies and disasters can happen any time without any warning, and things can change and escalate very quickly, and often it is swift and decisive actions that make all the difference. It is a responsibility of the building facility management to ensure that a proven evacuation plan in place to cover various worst scenario to handled automatically inside the facility. To mapping out optimal safe escape routes is a straightforward undertaking, but does not necessarily guarantee residents the highest level of protection. The emergency evacuation navigation approach is a state-of-the-art that designed to evacuate human livings during an emergencies based on real-time decisions using live sensory data with pre-defined optimum path finding algorithm. The poor decision on causalities and guidance may apparently end the evacuation process and cannot then be remedied. This paper propose a cloud connected emergency evacuation system model to react dynamically to changes in the environment in emergency for safest emergency evacuation using IoT based emergency exit sign system. In the previous researches shows that the performance of optimal routing algorithms for evacuation purposes are more sensitive to the initial distribution of evacuees, the occupancy levels, and the type and level of emergency situations. The heuristic-based evacuees routing algorithms have a problem with the choice of certain parameters which causes evacuation process in real-time. Therefore, this paper proposes an evacuee routing algorithm that optimizes evacuation by making using high computational power of cloud servers. The proposed algorithm is evaluated via a cloud-based simulator with different "simulated casualties" are then re-routed using a Dijkstra's algorithm to obtain new safe emergency evacuation paths against guiding evacuees with a predetermined routing algorithm for them to emergency exits. The performance of proposed approach can be iterated as long as corrective action is still possible and give safe evacuation paths and dynamically configure the emergency exit signs to react for real-time instantaneous safe evacuation guidance.
#Emergency Evacuation #Exit Signs #LED #Cloud Connected Building #IoT #Building Management System #Routing Algorithm #Dijkstra's algorithm #Emergency Navigation #Cloud Computing #WSN #LBS

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참고문헌 (10)

참고문헌 신청
E. Gelenbe / 1998 / Autonomous search for mines / European Journal of Operational Research 108(2):319~333 google schola E. Gelenbe / 2012 / Large scale simulation for human evacuation and rescue / Computers & Mathematics with Applications 64(12):3869~3880 google schola E. Gelenbe / 2005 / Simulating autonomous agents in augmented reality / Journal of Systems and Software 74(3):255~268 google schola P. Wang / 2008 / Modeling and optimization of crowd guidance for building emergency evacuation / Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on :328~334 google schola B. Pizzileo / 2010 / A new escape routing strategy for controlling evacuation from buildings / American Control Conference (ACC), 2010. IEEE :5124~5130 google schola

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