Industrial IoT Based Health Monitoring System of Motor or Transformer

This research introduces an Industrial IoT-based health monitoring system specifically designed for motor and transformer components within industrial environments. By integrating advanced sensors, microcontrollers, and the local web server for data visualization, the system enables real-time monitoring and predictive maintenance. The precise measurement of critical parameters, combined with effective anomaly detection algorithms, empowers operators to proactively address potential equipment failures. The system's reliability and effectiveness in enhancing equipment dependability and minimizing downtime present a promising solution for industrial maintenance challenges. The system comprises a network of sensors strategically positioned on motor and transformer components to collect essential operating data. Additionally, a relay-based feedback system is incorporated to execute protection actions when abnormal conditions are detected, ensuring improved equipment safety and reliability. These sensors interface with microcontrollers, which then use the web-based interface to transmit and display the processed and analyzed data to a central monitoring station. The efficiency and user-friendly nature of the web interface ensure the timely delivery of critical information, enabling operators to make quick decisions. Key Words: Industrial IoT, Health Monitoring System, Motor Components, Transformer Components, ESP32, ACS758, ADXL345, DHT11, Web-Based Interface, Predictive Maintenance, Relay based Feedback