Industrial Predictive Maintenance

An IIoT solution that monitors industrial machinery to predict failures.

Technical Details

This system uses vibration and temperature sensors attached to industrial motors to collect data. The data is sent to an edge gateway which performs initial processing before sending it to an AWS IoT Core instance. A time-series database (InfluxDB) stores the data, and a Grafana dashboard visualizes it. A machine learning model, trained with Scikit-learn, analyzes patterns to predict potential equipment failures, sending alerts via SMS and email.