Fuzzy-Based Gas Leakage Detection System Using Arduino Microcontroller

This paper examines an important safety issue related to gas leakages in residential, commercial, and industrial environments. Despite the advancements in gas leakage detection research, numerous challenges, including false alarms, mobility and communication issues, and the need for continuous power supply, have constrained their usefulness and user-friendliness. To address these problems, a cost-effective system that integrates a fuzzy logic framework into the Arduino microcontroller is presented to enhance the accuracy of sensor data interpretation and minimise false positives. The proposed system employs an MQ2 gas sensor connected to an Arduino microcontroller for real-time gas concentration monitoring. The fuzzy logic systems component enhances the management of uncertainty and imprecision in the system’s decision-making process. This enables the system to accurately differentiate between noise and hazardous leakages. The results of the experiments showed high precision, reliability, and efficiency in gas detection. The integration of sensors with fuzzy intelligent processing on an affordable microcontroller presented a comprehensive solution for proactive and cost-effective gas safety management. This combined approach not only enhances leak detection but also helps create safer environments where gas safety is critical through instant SMS notification and email messages for quick action.