[01] Vincent Andrew Akpan, Department of Biomedical Technology, The Federal University of Technology, Akure, Nigeria. [02] Aghogho Stanley Eyefia, Department of Physics Electronics, The Federal University of Technology, Akure, Nigeria. [03] Grace Moradeke Adewumi, Department of Computer Science, College of Education, Ikere-Ekiti, Nigeria.

This paper presents the design, development and deployment of an IoT-based (Internet-of-Things based) real-time embedded system for gas-smoke detection (GASMOD) system with an automatic alarm system. The proposed GASMOD system consist of four major components, namely: 1) MQ-2 smoke sensor for smoke concentration detection; 2) MQ-5 gas sensor for gas concentration detection; 3) Two YJD1602A-1 16-by-2 liquid crystal display (LCD) modules which displays whether or not gas and/or smoke has been detected; and 4) an automatic electronic alarm system which incorporates a 25-Watt audio power amplifier that is triggered whenever gas and/or smoke is detected. The above modules are integrated and interfaced to an Internet-ready real-time embedded Arduino Mega2560 development board for realization of the proposed GASMOD system. The proposed GASMOD system has been designed, constructed and deployed for gas and smoke detection with real-time excellent performance. The proposed GASMOD system can be adapted and deployed in environments to monitor the concentration of hazardous gases and smoke in homes, industrial, research laboratories, amongst others against an acceptable prescribed threshold values.

Automation, Real-Time Embedded System, Gas-Smoke Detection, Internet-of-Things (IoT), Smart Sensors

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