Industrial IoT (IIoT) Predictive Maintenance System

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About Course

  • Tools & Languages: Raspberry Pi, Arduino, Python, AWS Greengrass, TensorFlow, SQL, Grafana
  • Objective: Develop a predictive maintenance system for industrial machinery using IoT sensors to monitor equipment conditions (e.g., vibration, temperature). Use machine learning models to predict failures based on historical data. Implement edge computing with AWS Greengrass for real-time data processing and visualization with Grafana.
  • Skills Needed: IIoT sensor integration, predictive maintenance algorithms, edge computing (AWS Greengrass), machine learning (TensorFlow), data visualization (Grafana).

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