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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Indoor Air Quality Monitoring System With Fuzzy Logic Control Based On IOT

[Full Text]

 

AUTHOR(S)

Fadli Pradityo, Nico Surantha

 

KEYWORDS

Internet of Things, Fuzzy Logic, Raspberry Pi 3, Arduino Uno, Indoor Air Quality, AQI, Exhaust Fan

 

ABSTRACT

Air pollution is the biggest challenge of health in the world. Air pollution in a room, as inside home, is 2-5 times greater than outdoors. In this study, we developed an indoor air quality monitoring system to detect and dispose bad air out of the room. Proposed system applied internet of things concept to do monitoring of air quality for gases of carbon dioxide ( CO2 ) and PM10 gases. The sensors of CO2 and PM10 are connected to Arduino UNO to process analog to digital signal.This system has a mamdani fuzzy logic rule to efficiently set the working interval of exhaust fan. To process fuzzy logic rules, it used Raspberry Pi 3 in this proposed system.Based on result, Proposed System can maintain PM10 and CO2 AQI for safety level in longer periods compared to the system that used sugeno fuzzy logic system. For AQI PM10 values, if using the proposed system in 30 minutes, the interval of safe AQI values obtained in 30 minutes is for 1501 seconds. Whereas the safe AQI value interval obtained with fuzzy sugeno system only 1018 seconds. And for the value of AQI CO2, if using the system in 30 minutes, the interval of safe AQI value obtained in 30 minutes is for 816 seconds. Whereas the safe AQI value interval obtained with fuzzy sugeno system only 686 seconds.

 

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