An Intelligent IoT Based People Evacuation Guidance Model for Fire Hazard
Faritha Banu J1, Yuvarani K2, Suvetha B3, Nyle S4, Srilekha A5
1Dr. J. Faritha Banu, Professor and Head of the Department in Computer Science and Engineering, Jeppiaar Institute of technology, Sriperumpudur, Chennai, India.
2Yuvarani. K,Student, Bachelors of degree in Computer science and Engineering in Jeppiaar Institute of Technology, Sriperumpudur, Chennai, India.
3Suvetha. B, Student, Bachelors of degree, Computer science and Engineering in Jeppiaar Institute Of Technology, Sriperumpudur, Chennai, India.
4Nyle. S, Student, Bachelors of degree, Computer science and Engineering in Jeppiaar Institute Of Technology, Sriperumpudur, Chennai, India.
5Srilekha. A,Student, Bachelors of degree, Computer science and Engineering in Jeppiaar Institute Of Technology, Sriperumpudur, Chennai, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4238-4242 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9356038620/2020©BEIESP | DOI: 10.35940/ijrte.F9356.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the development of science and technology, the design of modern architecture is becoming more and more attractive. The large-scale public buildings such as shopping malls, office buildings, Research centres and education centres are increasing dramatically. In case of sudden disasters and the overloaded electricity may easily cause fire and the fire smoke, fire in large buildings spread over a wide range of areas and produces physical damages, several hazard to life and property and atmospheric pollution. This paper proposes An Intelligent IOT based People Evacuation Guidance Model for Fire Hazard to guide the people by constructing the evacuation path dynamically based on the real time situation to reach the safety exit quickly in large public buildings using their Personal Digital Assistant like mobile phone, tabs etc. Whenever a fire breaks out, IOT module alerts the people to find the safety exit. Thus, the proposed system minimizes danger and economic losses by guiding the optimized evacuation path. The performance of the proposed system will be compared with the existing system and the result of improvement will be shown.
Keywords: Fire Detection, Internet of Things, Optimal Path, Safety Exit, Mobile Terminal.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques.