By analyzing patterns in distributed control system data, machine learning technology can identify how operator actions affect plant performance. The system can then create performance dashboards that benchmark operator actions against optimal practices to help detect improvement opportunities.
Key capabilities include:
- Early detection of performance gaps
- Data-driven training recommendations
- Continuous learning from historical operations