Fuzzy Expert System for Acidification and Deacidification Process in Red Wine Grape Juice

Pratik. B. Kamble, B. Jadhav
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Abstract

The fermentation process is one of the most important processes in wine making. A certain amount of ratio of chemical compounds in red wine grape juice provides good quality wine. Acidifying and deacidifying grapes juice process is very complicated and non-linear, and ambiguous. Before starting the fermentation process the optimum balance of acid and pH is necessary. The purpose of this study is to develop a fuzzy expert system, this system can easily manipulate how much amount of acid or carbonates are required in red wine grape juice which saves time and gives good quality to the wine. A fuzzy interference system is used, if the acid level is low i.e. below 5 g/L then the acidification process will be carried out if the acid level is high i.e. above 8 g/L deacidification process will be carried out. A fuzzy rule base system handles uncertainty and gives a decision on acidifying and deacidifying processes. Domain expert takes trials of tartaric acid and pH values to get the optimum required amount of tartaric acid and carbonates value which is a time-consuming task. According to results, this system can easily manipulate how much amount of acid or carbonates are required in red wine grape juice which saves time and gives good quality to the wine.
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红酒葡萄汁酸化与脱酸过程模糊专家系统
发酵过程是酿酒过程中最重要的过程之一。红葡萄酒葡萄汁中一定比例的化学成分可以提供优质的葡萄酒。葡萄汁的酸化和脱酸过程是一个非常复杂、非线性和模糊的过程。在开始发酵过程之前,酸和pH的最佳平衡是必要的。本研究的目的是开发一个模糊专家系统,该系统可以方便地控制红葡萄酒葡萄汁中酸或碳酸盐的需要量,从而节省了时间,提高了葡萄酒的质量。采用模糊干扰系统,如果酸浓度较低,即低于5 g/L,则进行酸化处理;如果酸浓度较高,即高于8 g/L,则进行脱酸处理。模糊规则库系统处理不确定性,给出酸化和脱酸过程的决策。业内专家对酒石酸和pH值进行试验,以获得最佳所需的酒石酸量和碳酸盐值,这是一项耗时的任务。结果表明,该系统可以方便地控制红葡萄酒葡萄汁中酸或碳酸盐的需要量,既节省了时间,又保证了葡萄酒的质量。
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