Template-Type: ReDIF-Article 1.0
Author-Name:Muskan Maryam, Romiza Rubab, Javeria Rusool, Kishwar Rasool, Soyab Sundas
Author-Email:muskanmaryam2002@gmail.com
Author-Workplace-Name:Department of CS & IT, Ghazi University, Dera Ghazi Khan, Pakistan
Title:IoT-Driven Gas Safety: Combining Dual-Sensor Technology and Cloud Integration for Automated Risk Mitigation
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.
Keywords:Gas Leak Detection, IoT, MQ6 Sensor,NDIR Sensor, ESP32 Microcontroller,Simulation
Journal: International Journal of Innovations in Science and Technology
Pages:2029-2046
Volume:7
Issue:3
Year: 2025
Month:August
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1433/2229
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File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1433
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Handle: RePEc:abq:IJIST:v:7:y:2025:i:3:p:2029-2046