Shop Floor Process Mining
No. The clustering runs automatically. For the labelling you only need the knowledge of the people who run the machines. They tell the system once: when the machine shows this pattern, we call it „set-up“.
Yes, because it never sees them. Instead of loading raw curves into Power BI, the IoT Miner pre-processes the data and passes on only the recognised states as a lean event log, for example activity „Fault“, start 14:00, end 14:05.
Time series from your machines and sensors, collected through IoT gateways or SCADA systems and standard protocols such as OPC UA. Typical signals are power, temperature, pressure, speed and vibration.
To merge machine events with ERP orders, your ERP data has to be available as a clean event log. If you already produce one, the IoT Miner works on its own. We still recommend the Data Preparation Tool, because it handles the merge automatically on every run.
Where you want it: on premise, in your own Azure tenant or hosted by Process.Science. Process.Science operates GDPR-compliant and is ISO 27001 certified.
The Data Preparation Tool builds and maintains the event logs, Intelligence analyses them and the IoT Miner adds machine and sensor data where your process reaches the shop floor. They work together and each one can be used on its own.