Design and Implementation of an Intelligent IoT System based on Fuzzy Logic for Carbon Monoxide Detection


Author(s): Amina Bekkouche, Mourad Hadjila, Mohammed Merzoug, Fethallah Hadjila

Abstract: Carbon monoxide (CO) as been frequently identified as the origin of deadly domestic accidents. The heavy toll it makes every winter is often caused by using gas heaters. CO is difficult to detect without a detector because it has not particular odor or color. In this paper, we create and implement a prototype based on the Internet of Things (IoT) to combat this dangerous gas and save human lives. This prototype first allows the detection of carbon monoxide leaks and then the execution of the necessary reactions based on fuzzy logic. These responses entail turning on a ventilation system to ventilate the area where the leak occurs. The system also alerts users by making calls, emails, or notifications. In order to alert the relevant services when the gas level exceeds a predetermined threshold, this task is specifically carried out using an MQ2 sensor, calibrated to detect the level of gas present in the air, and a GMS sensor. Both of these sensors are connected to an Arduino development board.

Pages: 111-116

DOI: 10.46300/91015.2022.16.18

International Journal of Systems Applications, Engineering & Development, E-ISSN: 2074-1308, Volume 16, 2022, Art. #18

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