Using of artificial intelligence for improving of lautering process productivity (part 1).

• Main Authors: F. MIROLL, H. J. MENGER, G. LILLICH, P. BLESSING, N. WAGNER
• Format: Article
• Language: ces
• Published: Research Institute of Brewing and Malting, Plc. 2000-12-01
• Series: Kvasný průmysl
• Subjects: lautering process; artificial intelligence
• Online Access: https://kvasnyprumysl.cz/en/artkey/kpr-200012-0001_Vyuziti_umele_inteligence_pro_zvyseni_produktivity_scezovaciho_procesu_cast_1.php

For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities. Control system Neuro-Fuzzy-Controller continuously evaluates reached parameters, due to theirs following optimalisation is possible to keep desired quality of wort's purity to reduce a time of lautering process and to increase a number of lautering cycles. Next advantage is very easy assembley to the existing control systems of lauter fun without any additional costs.For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities. Control system Neuro-Fuzzy-Controller continuously evaluates reached parameters, due to theirs following optimalisation is possible to keep desired quality of wort's purity to reduce a time of lautering process and to increase a number of lautering cycles. Next advantage is very easy assembley to the existing control systems of lauter fun without any additional costs.