IoT based weather monitoring system for effective analytics

Abstract

Internet of Things (IoT) is adding value to products and applications in the recent years. The connectivity of the IoT devices over the network has widely reduced the power consumption, robustness and connectivity to access data over the network. IoT is powering many frontiers of industries and is seen as a promising technology to take Big Data Analytics to a level higher. Weather monitoring system as a module is an issue among IoT research community and it has been widely addressed. A new weather monitoring system is developed using various sensors connecting to Raspberry Pi. The implementation and data visualization on the data collected are discussed in this paper in detail. Weather parameters like temperature, humidity, PM 2.5 and PM 10 concentrations and Air Quality Index (AQI) are monitored and visualized in graphical means using the Raspberry Pi as server and data accessed over the intranet or internet in a specified subnet or world wide web. The data visualization is provided as result and proves to be a robust framework for analyzing weather parameters in any geographical location studying the effect of smog and PM 2.5 concentration.