Design and Development of Fuzzy Logic Based Car Cabin Pollution Monitoring System

Abstract

This paper presents the development of air quality monitoring system based on internet of things, IOT application to control the concentration of carbon dioxide gas and carbon monoxide gas in car cabin. Carbon monoxide is one most dangerous gas and nowadays there were many fatal cases happen caused by the gas leakage, while increasing of the concentration carbon dioxide will reduce oxygen level in the air, thus can cause the driver to be fatigue, and sleepiness. Moreover, gas detector usually not installed in nowadays car. To develop smart air quality monitoring system, Arduino MKR 1010, CJMCU 811(carbon dioxide sensor), MQ-7(carbon monoxide sensor), Adafruit io application, IFTTT, Webhooks, Telegram, and MATLAB fuzzy logic toolbox were used. Furthermore, Fuzzy Logic Controller (FLC) was used to analyze the input and produce the system's output decisions on the level of gas toxicities. The five levels of gas toxicities are very safe, safe, warning, high, and very high. The decision of gas level will be sent to IOT application which is Adafruit and then triggered the three types of LED indicator, power window motor, buzzer, and signal to webhook to send the Telegram. Besides, Adafruit IO also act as the platform to present the data of gases graph pattern. In addition, MATLAB fuzzy logic toolbox was used to make comparison between the result of Arduino analysis with the value of simulation. Furthermore, Telegram messenger also act as a medium to notify the users. Based on the system evaluation, this system has performed well in analysing the gas concentrating inputs and show stable IOT interactions in triggering related warning and safety devices.