IOT-Based Fire Alarm and Location Tracking System

Abstract

The Multiple smart infrastructures have reported fire incidents, requiring rapid detection, precise localization, and smart decision support for mitigating risks to lives and property. This paper proposes an advanced fire alarm and fire location tracking system based on smart IoT technology, Artificial Intelligence/Machine Learning (AI/ML) integration and 5G networks. The system detects environmental changes, such as increases in temperature and fluctuations in smoke, and gas concentration, using an extensive network of IoT environmental sensors. Ai/ML algorithms are applied to the model system to predict fires, detect anomalies, and reduce the incidence of false positives before fire events are detected. The system generates localized alerts and transmits real-time environmental data and fire event detection data to cloud servers and emergency responders using high-speed, and low latency, 5G networks. The fire location tracking system uses emergency response unit GPS coordinates and fire location tracking to reduce emergency response time. Experimental evaluations have shown improved detection accuracy, minimum response time, and sustainable real-time communication. The fire location tracking system is an innovative, intelligent, and cost-effective technology to ensure fire safety in smart buildings, industrial domains, and smart cities.