Improved Air Quality Testing Using Kalman Filter Based on IoT Data Fusion for Smart Cities

Abstract

Monitoring the amount of gases in air in smart cities provides immature gas emissions, polluting concentrations and filtering are examined in this paper. Air contamination is a worry in numerous metropolitan territories and is a critical reason for respiratory issues for some individuals. Monitoring the quality of air aids in the prevention of emission of gases and also the reduction of disease caused by pollution. A System has been developed to measure the values of CO2, NH3, and CH4 gases and therefore the parameters are sent via the ESP8266 Wi-Fi module through which we can monitor the concentration of the gases by tracking the IP address via IoT and also implemented a Kalman filter which purify the polluted air.