i-manager Publications

Implementation of IoT Based Forest Fire Detection and Prevention System

Guntupalli Gangaprasad*

Vignan's Foundation for Science, Technology and Research, Guntur, India.

Periodicity:July - December'2023

Abstract

This paper presents an implementation of Internet of Things (IoT)-based forest fire detection and prevention system. Forest fires are the most prevalent threat to forests and are toxic to forest resources and biodiversity. To avoid forest fires, early detection and prevention are crucial. An automated advance detection and prevention system for remote fire and weather-severe monitoring of culturally important areas is being suggested using various sensors. If a fire is detected, the control station receives sensor data. To activate the system, sensors detect smoke or fire, and the control center watches them, if a critical scenario occurs, drones are triggered. The proposed system employs various components, such as a Raspberry Pi 3 B, an Atmega328p microcontroller, a flame detection sensor, etc. These components are integrated into a two-part system, such as fire detection and fire prevention. The fire detection phase uses sensors to capture environmental data, triggering alerts at a central station. The fire prevention phase involves the deployment of drones to extinguish detected fires. The results show successful flame and smoke detection at Node 1, synchronization of data values between nodes, and the activation and progress of a drone towards the fire hotspot.

Keywords

Biodiversity, Fire Detection, Fire Prevention, Control Station, Firefighting, Hazard, Hotspot, Sensors.

How to Cite this Article?

Gangaprasad, G. (2023). Implementation of IoT Based Forest Fire Detection and Prevention System. i-manager’s Journal on IoT and Smart Automation, 1(2), 23-33.

References

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Implementation of IoT Based Forest Fire Detection and Prevention System

Abstract

Keywords

How to Cite this Article?

References

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