Paper Key : IRJ************984
Author: Shivam Pankaj Patil,Devendra Ashok Aher
Date Published: 19 Nov 2024
Abstract
Fire accidents remain one of the most devastating hazards, causing loss of life, property damage, and environmental harm. The rapid detection of fire incidents and timely communication with emergency responders are critical to minimizing the impact of such disasters. This paper presents an IoT-based fire department alerting system that aims to enhance fire detection and response efficiency using modern technological advancements. The system is built around a network of IoT-enabled sensors capable of detecting smoke, heat, and gas leaks, ensuring real-time monitoring of residential, commercial, and industrial spaces.When fire-related anomalies are detected, the system automatically initiates a sequence of actions: it triggers local alarms to alert occupants, sends notifications to registered users through a dedicated mobile application, and transmits an immediate alert to the nearest fire department, complete with the precise location and nature of the incident. This is achieved using cloud-based architecture for data processing and storage, ensuring scalability and accessibility. The integration of machine learning algorithms further enhances the systems reliability by analyzing sensor data to distinguish between genuine fire events and false alarms, thus improving the accuracy of alerts.
DOI Requested