INTERNET OF THINGS MOBILE - AIR POLLUTION MONITORING SYSTEM (IOT-MOBAIR)

Abstract

Internet of Things (IoT) is a worldwide system of “smart devices” that can sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. Existing monitoring systems have inferior precision, low sensitivity, and require laboratory analysis. Therefore, improved monitoring systems are needed. To overcome the problems of existing systems, we propose a three-phase air pollution monitoring system. An IoT kit was prepared using gas sensors, Arduino IDE (Integrated Development Environment), and a Wi-Fi module. This kit can be physically placed in various cities to monitoring air pollution. The gas sensors gather data from air and forward the data to the Arduino IDE. The Arduino IDE transmits the data to the cloud via the Wi-Fi module. We also developed an Android application termed IoT-Mobair so that users can access relevant air quality data from the cloud. If a user is traveling to a destination, the pollution level of the entire route is predicted, and a warning is displayed if the pollution level is too high. The proposed system is analogous to Google Traffic or the Navigation application of Google Maps. Furthermore, air quality data can be used to predict future air quality index (AQI) levels.

Existing System

Micro-sensor nodes, cloud-based system that uses knowledge-based discovery to find real-time air quality data.

Proposed System

The design of the air pollution monitoring system involves three main phases: Phase 1: detect the concentration of air pollutants in the area of interest via sensors. Phase 2: develop a user-friendly and portable interface – an Android application, which the user can use to know the pollution level in his/her particular area. Phase 3: predict air quality using the analytical module.

Architecture

BLOCK DIAGRAM