Fuzzy Logic-Enhanced Multi-Sensor Hardware Module for Real-time Fire Detection and Notification

Despite the extensive efforts devoted to fire safety campaigns, the annual incidence of fire outbreaks continues to surge. This alarming trajectory underscores the pressing need for an advanced system engineered to detect fires in their early stages and actively contribute to fire-fighting operations. Contemporary research endeavors are primarily oriented towards the refinement of multi-sensor algorithms designed for fire detection, with the overarching objective of bolstering the sensitivity of fire detection devices while concurrently curtailing the occurrence of false alarms. This intellectual work introduces a meticulously designed and implemented multisensor fire detection and notification system, employing fuzzy logic as its fundamental framework. The essential role of a microcontroller comes into play as it processes data collected from an array of sensors, including the MQ2 smoke sensor, TMP102 temperature sensor, and DFRobot flame sensor. The utilization of fuzzy logic algorithms facilitates precise determination of the prevailing fire status, further enhancing the reliability and effectiveness of the system.