Artificial Intelligence

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.


  • 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

Moving manufacturing forward

BTG integrates solutions for sustainable gains in business performance across your operations

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Proven cross-mill benefits

An integrated whole-of-mill approach that unlock new levels of process optimization

Trusted at every level

Measurable performance gains that support operational, maintenance and project professionals

Value added services

  • BTG’s Mütek lab devices create cost savings through optimized chemical dosage and reliable, stable operation
  • A new, fast and accurate method to optimize polymer dosage for dewatering processes in ‘ effluent treatment
  • BTG’s Mütek PCD opens up new options for measurement of grain products, raw materials, additives and finished products

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