Implementação de uma arquitetura IIOT para monitoramento em tempo real de processo de coacção de bacon

Abstract

This work aimed to develop an industrial supervision and monitoring system applied to the bacon cooking process, using data acquisition and real-time visualization technologies. The system implemented communication between a Programmable Logic Controller (PLC) and supervision platforms through the integration of KEPServerEX, the MQTT protocol, and the Node-RED environment. The process variables were collected, stored in a database, and displayed in Grafana dashboards. As a result, the system enabled continuous monitoring of critical parameters such as temperature, cooking time, and recipe steps, providing greater reliability in process control. The developed solution was validated in real operation, eliminating the need for investments in a retrofit, meeting the requirements of the SIF, and allowing the replication of the architecture in other industrial processes, demonstrating its feasibility, scalability, and positive economic impact.