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On the use of low cost sensors for the implementation of a real-time air pollution monitoring system using wireless sensor networks

Abstract:

In this paper, we investigate the use of low cost wireless sensor networks for the development of an environmental monitoring system that can be used to visualize air pollutants in real time by means of a web application. Measuring nodes were implemented, using low cost analog and digital sensors, for collecting data about air pollutants such as CO2 and dust particles concentrations present in the environment. The system works in such a way that the values measured by the sensor nodes are encoded and sent via Wireless to the Gateway (Raspberry pi) by means of Xbee pro S1 modules. The data are decoded and stored in a local database. Afterwards, a web application makes a PHP connection with the database, and data are plotted in real-time, using the HighChart JavaScript library with AJAX methods and JSON notation. To check the functioning of the system and to compare the behavior of the sensors, measurements of the concentrations of CO2 and dust particles were taken outdoors and inside an underground parking lot.