期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 71, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2022.3162289
关键词
Density measurement; Transducers; Pressure measurement; Loss measurement; Temperature measurement; Kinetic theory; Volume measurement; Biological system modeling; capacitive transducers; fourth industrial revolution; Internet of Things (IoT); parameter estimation; wine industry
资金
- Rodgers University Fellowship in Electrical and Computer Engineering
- Stephen Sinclair Scott Endowment in Viticulture and Enology
In this study, in situ density measurements based on differential pressure were combined with a wine kinetic model to predict the progress of a 1500-L wine fermentation. The results showed that the automated measurement method can be used to monitor and predict ongoing fermentations in commercial wineries.
Wine fermentation is traditionally monitored through manual measurements of density; however, such measurements become labor-intensive as the number of fermentations increases. Various in situ density measurement techniques are currently used in the wine industry; however, they have not been widely studied nor widely adopted. In this work, we combine in situ measurements of density based on differential pressure measurements with a wine kinetic model and parameter estimation routine to predict the progression of a 1500-L wine fermentation. Pressure transducers were mounted at three vertical positions, and the influence of sensor precision and vertical separation of the transducers was investigated. The transducer measurements were in agreement with the density of samples from a hand-held densitometer. The density measurements from the start of fermentation to 75, 100, 125, and 150 h were used to predict future fermentation behavior. The results show that the automated measurement methodology, combined with a wine kinetic model, can be used in commercial wineries to monitor and predict ongoing fermentations.
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