Monitoring and Data Processing Architecture using the FIWARE Platform for a Renewable Energy Systems
Washington Velásquez, Luis Tobar-Andrade, Ivan Cedeno-Campoverde · 2021
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.