Desenvolvimento de dispositivo para monitoramento em tempo real de parâmetros operacionais de ressonância magnética com supervisão via Dashboard e notificações críticas_

Abstract

This work presents the development of an IoT device for real-time monitoring of the cryogenic parameters of magnetic resonance imaging (MRI) systems, aiming at greater reliability and operational efficiency. The solution integrates embedded technologies and cloud platforms for the collection, processing, and remote supervision of critical variables such as helium level, internal pressure, temperatures of the thermal stages, compressor status, and quench detection. The device uses an ESP32 microcontroller for data acquisition and secure data transmission via the MQTT protocol, with visualization on interactive dashboards (ThingsBoard) and automatic generation of alerts (Node- RED) sent via API. This approach contributes to predictive maintenance, reduction of failures, and preservation of cryogenic resources, in line with the guidelines of Industry 4.0.