Research Article
Real Time Monitoring of Natural Disasters using IoT
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357952, author={Manthu Sukrutha and Mooli Pujitha and Machagari Ganesh Reddy and Nagendla Venkata Vignesh and Koilagundla Sai Kumar and Satish Addanki}, title={Real Time Monitoring of Natural Disasters using IoT }, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={forest fire detection disaster monitoring atmega328 microcontroller iot-based monitoring gsm communication environmental sensors fire sensor network real-time alert system remote sensing spatial analysis security alarm system}, doi={10.4108/eai.28-4-2025.2357952} }- Manthu Sukrutha
Mooli Pujitha
Machagari Ganesh Reddy
Nagendla Venkata Vignesh
Koilagundla Sai Kumar
Satish Addanki
Year: 2025
Real Time Monitoring of Natural Disasters using IoT
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357952
Abstract
Natural disasters, particularly forest fires, have severe consequences for both ecosystems and human populations, highlighting the need for rapid detection and response capabilities. In this paper we presented a proposed solution that integrates environmental sensors and an IoT-based model for real-time natural disaster monitoring. When any anomalies suggesting fire incidents or other hazardous events are detected, the system sends immediate alerts via buzzer sounds and SMS messages through the GSM module to designated personnel. An LCD screen displays real-time data locally, allowing on-site monitoring. Additionally, the NodeMCU Wi-Fi module transmits data, enabling remote monitoring of the parameters from anywhere. The communication between the Wi-Fi module and the Arduino is facilitated via the UART interface. This solution is affordable, scalable, and automated, enhancing response times and situational awareness in fire and disaster-prone forest regions which improves disaster risk management and environmental protection.
