Optimal Real-time Static and Dynamic Air Quality Monitoring System

Abstract
Objective: The objective of this study is to design and implement an effective low-cost air quality monitoring system that has the ability to monitor real-time air quality over a wide geographical area.

Methodology: The proposed system is developed for CO and NO2. As a test case, our developed system is deployed in Quetta city, both in static and dynamic situations and the concentration level of CO and NO2 in the air are measured and stored, along with their time, date, and location. In order to analyze this information, the stored data are then transferred to a data collection center via short-range wireless communication.

Findings: Many air quality monitoring systems exits in the market; however, most of these systems have several design limitations such as size, cost, inability to move, and demand for continuous internet connectivity. Therefore, in this study, we have designed and implemented an effective low-cost air quality monitoring system that has the ability to monitor real-time air quality over a wide geographical area. Moreover, unlike existing air quality monitoring systems, the proposed system does not require any continuous internet connection and it can monitor the concentration level of pollutants in the air both in a static position and in mobile situations. The test results show that our proposed system can perform very well in both static and mobile situations.

Applications: The proposed monitoring mechanism can help environmental experts and the general public to develop a more robust strategy against the adverse effects of air pollution.

Keywords: Sensors, Pollution, Air-Quality, Global Positioning System (GPS), Zigbee.