Air Pollution Monitoring Using Fuzzy Logic in Industries

Abstract

This paper describes a fuzzy logic based monitoring system able to calculate Air Quality Index (AQI). The Air Quality Index is a simple and generalized way to describe the air quality in U.S, China, Hong Kong, Malaysia and now in India. U.S. Air Quality Index is mainly a health related index with the descriptor words: "Good (0-50)", "Moderate (51-100)", "Unhealthy for sensitive groups (101-150)", "Unhealthy (151-200)", "Very Unhealthy (201-300)", "Hazardous (301-400)", "Hazardous (401-500)". U.S. Environmental Protection Agency responsible for measuring the level of air pollution in U.S. In U.S the AQI is based on the level of 5 atmospheric pollutants, namely sulferdioxide (SO2), nitrogen dioxide (NO2), suspended particulates (PM), carbon monoxide (CO), and ozone (O3) measured at the monitoring stations throughout each city. An individual score is assigned to the level of each pollutant and the final AQI is the Highest of those scores. Air quality measurement is commonly reported in terms of micrograms per cubic meter (μgm/m3) or parts per million (ppm). The conventional method used Linear Interpolation for calculating AQI. We applied a real time Fuzzy Logic System with Simulink to calculate AQI. This method gives satisfactory result and it is efficient to work under continuous working mode.