I am working with a cooking process where the sequence generally consists of:
-
Steam valve opens
-
Temperature rises
-
Product cooks
-
Cooling starts
-
Transfer valve opens
-
Product transfer completes
I would like to automatically identify every complete cooking cycle over several months of historical data.
Currently I can identify individual events using tag values, but I am interested in understanding the most robust TrendMiner approach for detecting complete cooking cycles and creating a reusable context for future analysis.
Would you use Value Based Search, ContextHub, Event Analytics, or another method?
How would you structure the logic to reliably identify the start and end of each cooking cycle?