Main management modules of PROMIND.
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Based on the expert experience and the system’s self-learning, a mathematical model of the system is build enabling the setting of structured relations between input variables and output modes.
A wide range of toolboxes enables supporting a significant range of models:
The analysis tools provided by PROMIND provide an environment to work over a mathematical model of the system, deeply understanding the behaviour of the actual system.
The system’s model works as a “clone” of the real system, constantly comparing the foreseen functioning situation with the real situation, to contribute useful information to maintain the process within the established response ranges.
Real time identification of model deviations: Fault modes detection.
PROMIND enables the development of a scientific mind-set at the plant, thus the factory is considered a permanent laboratory where to experiment in order to find radical improvements that provide concrete benefits to current operations.
Once the system model has been trained, the user can experiment with it by inputting variables or taking it to ranges of unconventional functioning spaces:
PROMIND turns into a support tool for the Classroom lab at the factory, decisively supporting the improvement cycles operation.
The information output generation features help to distribute the knowledge generated by PROMIND among different management environments. Different user roles support their decisions on the system:
It incorporates user tools that enable a faster connectivity to other systems and data sources:
At Sisteplant, we have been leading the change and sharing knowledge for over 30 years in the sector.