- Setpoint analysis, states, machine alarms (in range, out of range)
- Analysis of sepoint combinations and monitoring of machine behavior
- Self-learning of recurring settings
- Warning in the occurrence of abnormal settings
Suggestion of optimal setpoints according to the type of production to be carried out
- Application based on Neural Networks and Deep Learning algorithms
- Dedicated page on the field webserver
- Alarms reported on HMIs and Mobile Devices
- History of anomalies available on Cloud
