aixProM, our adaptive digital solution platform, is on a continuous journey to harness process historian data to predict future outcomes and guide processes effectively. Our focus is on refining the effectiveness of automated process optimization.
We continuously aim to enhance our data-driven process modelling. The challenge lies in the process of creating good machine learning models, encompassing everything from data preparation and feature engineering to training and validation, all of which are crucial for making precise predictions necessary for automated adjustments.
Precise predictions for processes are vital for maintaining operational control and efficiency.
A good example for a successful implementation is a slag grinding process using a vertical roller mill:
Take a look at the achieved prediction precision for particle size as the central product quality KPI in the image above.
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