Monitoring and Data Processing Architecture using the FIWARE Platform for a Renewable Energy Systems
| Autor: | Luis Tobar-Andrade, Ivan Cedeno-Campoverde, Washington Velasquez |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Data processing
Computer science 020209 energy Distributed computing Dynamic data 04 agricultural and veterinary sciences 02 engineering and technology Power (physics) Computational architecture Renewable energy system 040103 agronomy & agriculture 0202 electrical engineering electronic engineering information engineering 0401 agriculture forestry and fisheries Architecture Energy (signal processing) |
| Zdroj: | CCWC |
| DOI: | 10.1109/ccwc51732.2021.9376026 |
| Popis: | This paper states the model of a computational architecture using the FIWARE platform to be incorporated into renewable energy systems to monitor variables such as power, current, temperature, and more, allowing the evaluation and recognition of patterns that generate notifications in case of an emergency. The results indicate that the architecture is easily adaptable to different environments due to the FIWARE-Orion and FIWARE-Draco components, which allow the creation of dynamic data communication channels providing a reliable, powerful, and adaptable tool. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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