A LabVIEW-based intelligent system for monitoring of bioprocesses

被引：0

作者：

Rivera, Elmer Ccopa ^{[1
]}

de Farias Junior, Felix ^{[1
]}

Pires Atala, Daniel Ibraim ^{[1
]}

de Andrade, Rafael Ramos ^{[1
]}

da Costa, Aline Carvalho ^{[1
]}

Maciel Filho, Rubens ^{[1
]}

机构：

[1] Univ Estadual Campinas, Sch Chem Engn, BR-13081970 Campinas, SP, Brazil

来源：

19TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2009年 / 26卷

关键词：

Modeling; bioreactor; software sensor; artificial intelligence;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The application presented in this study illustrates the usefulness of an automated monitoring system carried out in LabVIEW environment. The results obtained have show that it is possible to infer into a real-time basis the key variables in bioethanol fermentation using pH, turbidity, CO2 flow rate and temperature on line measurements and a MLP-based Software Sensor. On-line monitoring system provided accurate on-line predictions of the concentrations during the fermentation process even when the secondary variables measurements were noisy. This study also will illustrate the usefulness of an automated monitoring system carried out in graphical programming environment.

引用

页码：309 / 314

页数：6

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