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1700195 Vol 1 · Issue 8 Download Paper

IoT Based Smart Fire Emergency System

NOORBASHA JOHNSAIDA NAMBURU MOHAN KUMAR KOMMUKURI RAKESH LAKKISETTYV.RAHUL TADI SHALINI

Subject area: Science,Engineering and Technology  ·  Area of research: Electronics and Communication engineering

Abstract

Modern buildings around the world have become complex and augmented. Given the structural characteristics of modern buildings, quick evacuation using emergency exits or evacuee guidance markers during blackouts due to fire, building collapse, earthquakes, or aging of buildings need to be possible. This paper suggests an Internet of Things(IOT)-based intelligent fire emergency response system that can control directional guidance intelligently according to the time and location of a disaster and the design of an integrated control system using wireless sensor networks to address the problems with existing fire emergency response systems in times of fire or building collapse.

Keywords

Detour Evacuation System, Internet of Things, FireDetection, Raspberry pi, Twilio

References

[1] High-rise building fire safety standards development research, Korea fire safety Association (2012).

[2] D. O. Kim, H. W. Mun, K. Y. Lee, D. W. Kim, H. J. Gil, H. K. Kim and Y. S. Chung, “The development of the escape light control system”, Proceedings of the Korean institute of illuminating and electrical installation engineers, vol. 23, no. 6 (2009).

[3] J. S. Jang, I. C. Kong and D. H. Rie, “A Study for Optimal Evacuation Simulation by Artificial Intelligence Evacuation Guidance Application”, Journal of the Korean Society of Safety, vol. 28, no.3,(2013), pp. 118-122.

[4] S. W. Kim, “Sensor network research and development and commercialization practices”, Natural IT Industry Promotion Agency, no. 1325, (2007), pp. 1-14.

[5] https://www.raspberrypistarterkits.com/ models/best-raspberry-pi-model/

[6] https://cdn-learn.adafruit.com/ downloads/pdf/pir-passive-infrared- proximity-motion-sensor.pdf

[7] https://www.raspberrypispy.co.uk/ 2016/02/introducing-the-raspberry-pi-3- model-b/

How to cite this paper

NOORBASHA JOHNSAIDA, NAMBURU MOHAN KUMAR, KOMMUKURI RAKESH, LAKKISETTYV.RAHUL, TADI SHALINI "IoT Based Smart Fire Emergency System" Iconic Research And Engineering Journals Volume 1 Issue 8 2018 Page 90-94
NOORBASHA JOHNSAIDA, NAMBURU MOHAN KUMAR, KOMMUKURI RAKESH, LAKKISETTYV.RAHUL, TADI SHALINI "IoT Based Smart Fire Emergency System" Iconic Research And Engineering Journals, vol. 1, no. 8, Feb. 2018
NOORBASHA JOHNSAIDA, NAMBURU MOHAN KUMAR, KOMMUKURI RAKESH, LAKKISETTYV.RAHUL, TADI SHALINI (2018). IoT Based Smart Fire Emergency System. Iconic Research And Engineering Journals, 1(8).
NOORBASHA JOHNSAIDA, NAMBURU MOHAN KUMAR, KOMMUKURI RAKESH, LAKKISETTYV.RAHUL, TADI SHALINI "IoT Based Smart Fire Emergency System" Iconic Research And Engineering Journals, vol. 1, no. 8, Feb. 2018.
@article{1700195,
      author = {NOORBASHA JOHNSAIDA, NAMBURU MOHAN KUMAR, KOMMUKURI RAKESH, LAKKISETTYV.RAHUL, TADI SHALINI},
      title = {IoT Based Smart Fire Emergency System},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {8},
      pages = {90-94},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700195.pdf},
      abstract = {Modern buildings around the world have become complex and augmented. Given the structural characteristics of modern buildings, quick evacuation using emergency exits or evacuee guidance markers during blackouts due to fire, building collapse, earthquakes, or aging of buildings need to be possible. This paper suggests an Internet of Things(IOT)-based intelligent fire emergency response system that can control directional guidance intelligently according to the time and location
of a disaster and the design of an integrated control system using wireless sensor networks to address the problems with existing fire emergency response systems in times of fire or building collapse.},
      keywords = {Detour Evacuation System, Internet of Things, FireDetection, Raspberry pi, Twilio},
      month = {February},
  }