With the IoT Weather Station at UAS Technikum Wien, students now have access to data from various local data from various local measuring devices for modeling and analysis available.
This repo sets up an IoT Data Processing and Visualization Platform using Docker containers. It includes components for data ingestion, storage, processing, and visualization. The platform utilizes FIWARE components such as Scorpio for context management, QuantumLeap for time-series data storage management, CrateDB for data storage, and Grafana for visualization.
Additionally, it includes a Python application integrating the WeatherStation via addUPI-Interface for accessing the sensor data using its proprietary REST-API.
The application will fetch the multiple data values from sensor devices, processing them, and updating context data in Scorpio.
The github-repo can be found here: https://github.com/OpenSourceInnovationHubs/WeatherStation