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Integrated toolkit for multivariable process modelling
Statistical process models with machine learning capabilities are in the core Industry 4.0.
Predictive models
Data is the new oil – refining creates the real value
With dataPARC’s integrated process modelling module – PARCmodel – you can build models quickly and without extensive knowledge of mathematical algorithms. The results are saved in the system as calculated variables and can be used and combined with any other application as a calculated tag.
There are two main use cases for predictive models: prediction of property which is otherwise cannot be measured continuously and using a digital twin to monitor key processes, process equipment or instruments.
For the first one a typical example is a quality property measured in the lab tests from reel samples, such like tensile strength. You can build a linear statistical model which tells you the dynamics of correlation of different process parameters to the quality property. That enables then further development of algorithms to help you to keep the product quality stable also between the samples and also tells you if the sample is not representative for the entire product.
You can also build a model to describe nominal performance of process, process equipment or an instrument. Once you have created the model to describe the output in normal conditions, you can start continuously monitor the real performance comparing to the model. The devialtions can then trigger alarms which are distributed to applicable systems and persons by SMS messages and e-mails to activate corrective actions.
Vorteile
- Reduce variability by proactive operations
- Know your process, learn interdependencies and dynamics
- Fast model building without extensive knowledge of mathematics
- Monitor your assets to improve performance, safety and maintenance process efficiency
Die Fertigung voranbringen
BTG integriert Lösungen für nachhaltige Steigerungen der Geschäftsleistung in allen Ihren Betrieben
Klassenbeste Lösungen
Führende Produktanwendungslösungen bieten erstklassige Lösungen für die Fertigung
Bewährte Cross-Mill-Vorteile
Ein integrierter Whole-of-Mill-Ansatz, der neue Ebenen der Prozessoptimierung erschließt
Vertrauen auf allen Ebenen
Messbare Leistungssteigerungen, die Betriebs-, Wartungs- und Projektfachleute unterstützen
Mehrwertdienste
- Mütek-Laborgeräte von BTG schaffen Kosteneinsparungen durch optimierte Chemikaliendosierung und zuverlässigen, stabilen Betrieb
- Eine neue, schnelle und genaue Methode zur Optimierung der Polymerdosierung für Entwässerungsprozesse in der Abwasserbehandlung
- Mütek PCD von BTG eröffnet neue Möglichkeiten zur Messung von Getreideprodukten, Rohstoffen, Zusatzstoffen und Fertigprodukten
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