Deploying an IoT Enabled Realtime Fire Detection and Alert Model for Residential Homes

Abstract

While fire has facilitated significant technological and industrial advances, it is also a major threat that demands attention. The impact of fires, including the loss of human life and property, is a significant concern. This study proposes a novel fire detection and alert model that employs Internet of Things (IoT) technology to detect fires in real time. The specific objectives of this study are to model Internet of Things ( enabled fire detection system, assess its effectiveness, and compare it to existing methods to identify any gaps therein. The system comprises four sensors, each designed to detect fire related factors. Sensors were connected to a NodeMCU microcontroller. The microcontroller analyzes sensor inputs in real time, providing precise information and alarm signals to building occupants and fire fighting equipment. This study stands out in its exploration of this crucial area, including the application of Dijkstra's Algorithm to locate the fire service department. An experimental result shows that the model effectively detects fires and that the reaction time varies with the distance from the fire's source. The comparative data analysis between the existing system and proposed model demonstrates that the proposed model is more efficient, reliable, and better equipped to handle dynamic events than the existing system.