Correlation among environmental parameters using an online Smart Weather Station System

In recent years, the evolving wireless technology, cheaper micro-controllers, smart cities concept and ‘Internet of Things’ (IoTs) have given way to the need of online wireless management systems for smart weather stations (SWS). In this paper, we develop an ‘Online Smart Weather Station System’ for studying the correlation amongst multiple weather parameters data, collected over a period of 18 months. The system consists of sensors that generate weather data, local storage, wireless transfer to control centre, and web-based online representation and analysis of data. Six weather parameters such as air temperature, relative humidity, wind-speed, rain, rain-rate and solar energy are studied. Statistical measures such as mean, median, standard deviation, min, max and normalized standard deviation are computed from the weather data. The correlation among temperature, humidity and wind-speed parameters is presented. Few important observations are made, for possible applications in agriculture, construction and manufacturing activities. Further a web-based service can be aimed at automated analysis of weather data generated by the smart weather station.