Microcontroller-based air quality monitoring design using mamdani fuzzy method

Abstract

Hazardous gases such as carbon monoxide (CO) and sulfur dioxide (SO₂) not only emerge in the outdoor environment but also inside the house or factory which will endanger the occupants or workers. The detection devices are mainly found on public roads since detected gas mostly consists of CO and SO₂. The design of air quality monitoring devices is proposed with applied sensors such as TGS2201 and MQ136. The device, when activated, will detect the gas components in the room. The results of the detection will be displayed in the value of gas concentration and quality. If the concentration exceeds the specified threshold, the fan will act to neutralize the contained air. Fuzzy logic is applied with the membership function using the Sugeno model. The test is applied in the box with maximum air pollution of 80 ppm according to the motor vehicle gas, and out of the box at a public road with maximum air pollution of 51 ppm. Each method has the differences of 29 ppm.