Using of artificial intelligence for improving of lautering process productivity
2001
Menger, H.J. | Lillich, G. | Miroll, F. (Ziemann GmbH, Ludwigsburg (Germany)) | Wagner, N.
The firm Ziemann and Technical University Heilbronn have developed a control system Neuro-Fuzzy-Controller for the control of lautering process. This control system evaluates continuously the chosen parameters and enables to obtain very good results even if using raw stuffs of different qualities. Due to the optimization of the followed parameters, it is possible to keep desired quality of wort's purity, to reduce the time of the lautering process and to increase the number of lautering cycles. The next advantage is a very easy assembly to the existing control systems of lauter tun without any additional costs.
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