Diseño de la arquitectura de una aplicación web para el almacenamiento y publicación de parámetros eléctricos del GIREI

Abstract

This study proposes an architectural design for a future application aimed at managing and visualizing electrical data for the Grupo de Investigación de Redes Eléctricas Inteligentes (GIREI) at the Universidad Politécnica Salesiana. The research does not involve the development of a web, mobile, or desktop application, but rather focuses on creating a scalable and adaptable architecture. The objective is to provide an independent solution for managing data generated by intelligent devices within GIREI's electrical system, such as batteries, inverters, and solar panels, without relying on third-party monitoring platforms like Victron's VRM, which, although functional, lacks the flexibility and customization required by GIREI. The proposed architecture leverages Redis, RabbitMQ, and InfluxDB for data handling, encompassing collection, temporary and permanent storage, and processing of electrical data. The C4 architectural model structures the system into modular components, enabling seamless scalability and maintenance. Key architectural components include the data source connector, data producer, and data consumer, which collectively gather real-time data from devices via Modbus and store it in a time-series database. A centralized logging system, built on Elasticsearch and Kibana, facilitates real-time error monitoring, bolstering system reliability and data integrity. A proof-of-concept validation confirms the proposed architecture's ability to effectively support a future application for monitoring and visualizing electrical data, providing an independent, efficient, and adaptable solution to optimize energy management.