Forest Fire Early Detection and Online Remote Monitoring Using Sensors

Authors

  • Pravin Tathod "IPS Academy, Institute of Engineering & Science, Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal MP India
  • Sourabh Jain IPS Academy, Institute of Engineering & Science, Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal MP India

Keywords:

MQ2 sensor, IR sensor, GSM, Forest Fire, Fire Detection, Fire Monitoring.

Abstract

Forest fire device networks represent a strong technology, particularly appropriate for environmental observation. With relation to wildfires, above all, they permit low-priced police work of venturesome locations like wild land urban interfaces. This report presents the work developed throughout the last 4 years targeting a fire device network node for the reliable, on-site detection of forest fires. The tasks dispensed ranged from detective work or sensing of conditions that rise to a fire, this method could be an advanced one dispensed primarily in three phases namely: (1) Detection/sensing of the flame through IR device and smoke through MQ2 device. (2) Transfer of the collected info to an overseas location through a network, employing a communication protocol like GSM. (3) Receiving of the transferred information by an acceptable platform/operating system that may showcase that information in an exceedingly usually comprehensible format giving indication concerning the atmosphere condition thereon explicit region.

Author Biographies

  • Pravin Tathod, "IPS Academy, Institute of Engineering & Science, Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal MP India
    Fire Technology and Safety Engineering Department.
  • Sourabh Jain, IPS Academy, Institute of Engineering & Science, Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal MP India
    Fire Technology and Safety Engineering Department.

References

Nikolay Khabarov, Elena Moltchanova, Michael Obersteiner. Valuing Weather Observation

Systems for Forest Fire Management. IEEE Syst J. 2008; 2(3): 349–357.

Doolin DM, Sitar N. Wireless sensors for wildfire monitoring. In Proceedings of Conference on

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, San

Diego, CA, USA. 2005 Mar 7–10; 477–484.

Volokitina A, Sofronov M, Sofronova T. Topical scientific and practical issues of wildland fire

problem. Mitig Adapt Strateg Glob Chang. 2008; 13(7): 661–674.

Fleming J, Robertson RG. The Osborne firefinder. In Fire Management techtips. 2003 Oct; 1–2.

Den breejen E, Breuers F, Kemp R, Roos M, Schutte K, De vries JS. Autonomous forest fire

detection. In Proceedings of the Third International Conference on Fire and Forest Meteorology,

Luso, Portugal. 1998 Nov 16–20; 2003–2012.

Leblon B. Monitoring forest fire danger with remote sensing. Nat Hazards. 2005; 35(3): 343–359.

Burgan R, Klaver R, Klaver J. Fuel models and fire potential from satellite and surface

observations. Int J Wildland Fire. 1998; 8(3): 159–170.

Chong CY, Kumar SP. Sensor networks: evolution, opportunities, and challenges. In Proceedings

of IEEE. 2003; 91(8): 1247–1256.

Published

2022-06-03

Issue

Section

Research Article