Effective System for Forest Fire Detection with Alert Mechanism using IoT

Authors

  • Esakkimuthu. S  UG Scholar, Computer Science and Engineering, Sri Krishna College of Technology, Kovai Pudur, Coimbatore, Tamil Nadu, India
  • Farhath Manaz. N  UG Scholar, Computer Science and Engineering, Sri Krishna College of Technology, Kovai Pudur, Coimbatore, Tamil Nadu, India

Keywords:

SNS (Simple Notification Service), IoT Technology, Raspberry Pi 2, Passive InfraRed, Resistance Temperature Detector

Abstract

Forest fire is a real threat to human lives, ecological systems, and infrastructures. It has been founded in a survey that 80% of losses caused due to fire would have been avoided if the fire was detected immediately. There are several commercial fire detection devices, but they are all hard to use in big open areas such as forests due to their delay in reaction. In the paper, created a Raspberry pi platform based IoT enabled fire detection & monitoring system to overcome the problem. In this project, we have built a fire detector using Raspberry-pi which is interfaced with a temperature sensor, fire sensor, PIR sensor. The temperature sensor senses the temperature and heat sensor sense the heat of burning fire and makes an alarm connected with Raspberry-pi. PIR sensor senses the object surrounding the fire and also introduced the LCD to Raspberry-pi with help of “IoT Technology”. We have tried to smatter by connecting the whole monitoring process.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 5, Issue 5, September-October-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Esakkimuthu. S, Farhath Manaz. N, " Effective System for Forest Fire Detection with Alert Mechanism using IoT, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 5, pp.180-183, September-October-2019.