Weather sensing device with local sensors and application of IoT methods

Meteorological stations are facilities with measurement instrumentation and auxiliary equipment intended to measure a set of parameters. The main usages of such stations are weather reporting and forecasting. As meteorological stations are complex measurement systems, their siting area density is limited. In such locations, meteorological models or a set of local sensors are used for reading atmospheric parameters. So far, data transfer automation of local readings to meteorological databases as well as user reading of remotely collected data is well established. But, little information has been presented about automated verifying local measurement systems with meteorological models' use. Thus, this paper proposes applying the IoT method of remote accessing weather data models in classic local measurement systems equipped with a local sensor set. Investigations results confirmed the usability of local sensing device use in measurements of atmospheric conditions as temperature, pressure, and humidity, where required time resolution is greater than 30 minutes, as standard accessed meteorological data time resolution is 30 or 60 minutes. Automated meteorological verification of local sensor heads readings requires geographical position data like latitude, longitude. As atmospheric pressure information in meteorological models is presented at virtual sea level, height above sea level of local sensor is also required. Thus, the proposed and examined configuration of the IoT sensing device has to include a method that provides access to information on localization. This way, the proposed sensing device creates the possibility of sensing heads maintenance only to required situations.