IoT-Driven Gas Safety: Combining Dual-Sensor Technology and Cloud Integration for Automated Risk Mitigation

Muskan Maryam; Romiza Rubab; Javeria Rusool; Kishwar Rasool; Soyab Sundas

Authors

Muskan Maryam Department of CS & IT, Ghazi University, Dera Ghazi Khan, Pakistan
Romiza Rubab Department of CS & IT, Ghazi University, Dera Ghazi Khan, Pakistan
Javeria Rusool Department of CS & IT, Ghazi University, Dera Ghazi Khan, Pakistan
Kishwar Rasool Department of CS & IT, Ghazi University, Dera Ghazi Khan, Pakistan
Soyab Sundas Department of CS & IT, Ghazi University, Dera Ghazi Khan, Pakistan

Keywords:

Gas Leak Detection, IoT, MQ6 Sensor, NDIR Sensor, ESP32 Microcontroller, Simulation

Abstract

A gas leak in a home can be very dangerous and cause accidents or illness if it is not found soon enough. Many existing gas detection systems cannot avoid false alarms and delays, which means better, real-time systems are needed. A system that uses an ESP32 microcontroller, two sensors (MQ6 for high sensitivity and NDIR for confirmation), and detects gas leaks using the Internet of Things (IoT) is presented in this paper. The methodology of the system includes simulating sensor readings, code within the microcontroller, and MQTT cloud messages at gas concentrations running from 0 to 10,500 ppm. The simulation adds both sensor noise and delays from the network to reflect real life, as alarms are sounded only after both sensors agree. Tests showed the system stays true to zero false alarms and has detection rates above 95% up to 100% when gases reach over 5500ppm. Furthermore, MQTT provides consistently low communication latency of 26 to 32 milliseconds, which helps make responding to emergencies nearly real-time. The research introduces a new IoT approach that manages accuracy, dependability, and speed for residential gas safety, validated through detailed simulation experiments.

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