Iot Digital Twin Based Air Quality Monitoring System

Abstract

In Recent Times IoT (Internet Of Thing) Plays A Major Role In The Daily Routine Of Human Life. Majorly This Technology Is Showing Its Impact In Medical Applications. In Contrast, Micro Stations As A Kind Of Low-cost Air Monitoring Equipment Can Be Distributed Densely Though Their Accuracy Is Relatively Low. This Paper Proposes A Deep Calibration Method For Low-cost Air Monitoring Sensors Equipped In The Micro Stations, Which Consists Of Two Sensors For CO2 And PM2.5 That Are Important For Air Quality Monitoring With Compensated Weather Monitoring Capabilities Were Deployed In The Villages. The End Users Can Query The System And Access The Data Together With The Analytic Information Via The Developed Web-based User Interface Dashboard. Baseline Algorithms Called Predictive Method That Facilitate Setting Of Triggers For Each Sensing Node And Pushing Of Notifications For When A Measured Parameter Exceeds A Certain Threshold Value Are Proposed And Implemented. Later, An IoT Based Monitoring System Has Been Developed To Measure The Air Quality But Monitoring And Gathering The Data From Multiple Nodes.

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