Paper Key : IRJ************080
Author: Soham Nivas Patil,Tanmay Ravindra Sawant,Akash Parasharam Kumbhar,Pandurang Bappa Bidve,Prof. Vijay Sarjerao Parit
Date Published: 11 Apr 2025
Abstract
Wildfires pose a significant threat to forests, wildlife, and human settlements, necessitating the development of efficient and reliable fire detection systems. Traditional fire monitoring methods, such as manual surveillance and satellite imaging, often suffer from delayed response times and limited coverage in remote areas. To address these challenges, this study presents an IoT-based Forest Fire Alarm System designed to detect and alert authorities in real time. The system utilises temperature and smoke sensors, a NodeMCU ESP8266 microcontroller, and a GSMGPRS module to monitor environmental conditions and transmit alerts upon detecting fire events. Prototype testing demonstrated high responsiveness and accuracy, with alerts being triggered within seconds of reaching predefined threshold values. The systems low cost, energy efficiency, and ability to function in areas with poor network connectivity make it a practical solution for wildfire prevention. Despite its effectiveness, the system has certain limitations, including sensor range constraints, susceptibility to false alarms, and dependency on external power sources. Future improvements could integrate AI and Machine Learning for fire prediction, LoRaWAN or satellite communication for enhanced data transmission, and solar-powered sensors for sustainable operation. Expanding the systems applications to urban fire detection could further enhance its impact. The findings of this study highlight the potential of IoT-based fire detection technologies in mitigating wildfire disasters. Implementing such systems in fire-prone regions could significantly improve early warning capabilities, facilitating timely interventions and reducing environmental damage.