LOW COST POLLUTION CONTROL AND AIR QUALITY MONITORING SYSTEM USING RASPBERRY PI FOR INTERNET OF THINGS

Abstract

Internet of Things (IoT) is an innovative approach to connect various devices through the internet and use such an interconnection to implement highly beneficial functions. IoT is certainly one of the most widely researched topics and will continue to shape the approach we adopt to solve problems in the years to come. In this paper, an IoT-based system has been proposed to combat air pollution, which is particularly a cause of concern in the densely populated country e.g., India. An embedded system is used to connect several sensors that collect data on the surrounding environment. Based on the obtained data, a prediction algorithm is put forth to proactively implement a solution to any problem encountered. The collected data is stored in a MySQL database that can be queried whenever the relevant information is required. This model would analyze the data and report it to the users. The obtained results are evaluated using Think Speak open data IoT platform with data analytics. A major advantage of the proposed system is its cost effectiveness. Coupled with its scalable, dynamic and flexible nature, this model can be easily set-up and deployed in any area to monitor and control the quality of its environment.

Existing System

Proposed System

Architecture

BLOCK DIAGRAM