Effective Strategies for Mitigating the Gas Leakages Using IoT

This paper presents a comprehensive strategy for mitigating gas leaks using Internet of Things (IoT) technologies, focusing on enhancing safety in residential and industrial environments. By integrating MQ4, MQ6, and MQ135 gas sensors with an ESP32 microcontroller, the system effectively monitors LPG, methane, and benzene gas levels in real-time. The collected data is uploaded to a Python-based machine learning model hosted on ThingSpeak, where a random forest algorithm analyzes sensor readings to predict gas presence. Upon detection of any gas leak, the system activates alerts by displaying messages on an LCD, illuminating a red LED, and sounding a buzzer. Additionally, the system sends SMS alerts to users via GSM, ensuring immediate notification for potential hazards. This multifaceted approach not only improves responsiveness to gas leaks but also provides users with mobile access to real-time monitoring data. By combining advanced sensor technology with machine learning and IoT capabilities, this solution effectively mitigates risks associated with gas leaks and underscores the transformative potential of IoT in promoting public safety.