A.I. Predictive Modeling of historical and current process conditions
Digital twin dashboard for real-time situational awareness to operators & managers
Finds relationships between the process data points and anomalies which allows it to predict outcomes of the process
Enables real-time prediction of product quality and ideal process setpoints
Imagine an eSME (electronic subject matter expert)
Helps to centerline production
Prescribing ideal process setpoints for optimum performance
Focuses on top handful of key process variables
Digital awareness of real-time production events
Operates 24/7 – no breaks or days off
The predictions are derived from data that has been
collected and sent to the cloud. The model scours the data and find relationships with the historic values and the current operating conditions.
This removes differing opinions on how the process should be run.
Data can come from a variety of sources . . . historians, IIoT devices, MES’s . . . nearly anything that is digitally connected!