Each production has its own limitations, when we can effectively influence one or another result. In particular, some cases can be singled out as an example.
Wear parts requiring maintenance. Diverse operating scenarios are modeled, risks are predicted.
The algorithm determines which events cause crashes, stops, or alerts.
Simulation of data in which some characteristics affect others.
Real-time process monitoring:
Follows the parameters of process-critical components and proactively issues alerts when defined limit values are approached.
Modelling of energy and raw-material consumption:
Optimises the amount of energy and raw materials needed to reach targeted production volumes.
The algorithm combines process analysis data and compares with the calculated analytical data prepared in advance by specialists.