Aplikácia pre riadenie a analýzu dát z IoT meteorologickej stanice
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Vysoká škola báňská – Technická univerzita Ostrava
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The aim of my thesis was to create a web application communicating with a database server, used to process and display data of atmospheric phenomena, such as temperature, relative humidity, sunlight, air pressure, wind speed, total rainfall and other parameters recorded from several IoT meteorological stations, located in the VSB-Technical University of Ostrava campus. The website will be able to verify the user's access rights and display the measured data according to the assigned role. It will be possible to visualize the data in the form of several graphs, filter based on the time interval and group by selecting one of the basic statistical operations for the selected unit of time. Part of the work will be the display of a parameter representing the quality of transmission by free space optical channel and its predicted values using multifactor linear regression. The analysis and comparison of solutions dealing with data visualization created the requirements and design of a web application, which after implementation will allow efficient processing and display of measured data from meteorological stations, simplify the work and provide a basis for expanding the functionality to meet future university requirements.
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web application, graph visualization, atmospheric phenomena, RSSI, multiple linear regression