On-line Soft-Sensing of Germ Concentration for Fermentation Process of Glutamic Acid

Author

Guicheng, Wang ; Cen, Chen ; Yujun, Pang ; Yuanyuan, Zhao ; Yong, Wang ; Zhansheng, Zhang ; Xinhe, Xu

Author_Institution

Coll. of Inf. Eng., Shenyang Inst. of Chem. Technol., Shenyang, China

Volume

2

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

118

Lastpage

122

Abstract

The germ concentration is an important biology parameter, which affects the yield of glutamic acid fermentation process. It is difficult to realize the on-line and real-time detection. By analyzing the producing process of glutamic acid, the process parameters, which influence the germ concentration, have been found, and samples have been selected from field history data, then the soft-sensing model has built, which combined neural network and genetic algorithms consisting of GA-BP network. The comparison of the simulation result shows that the soft-sensing model is useful. Also it is obtained real-time collecting data from field, and combines with soft-sensing model, to realize on-line monitoring and measuring of germ concentration.

Keywords

backpropagation; biotechnology; computerised monitoring; fermentation; genetic algorithms; microorganisms; neural nets; production engineering computing; GA-BP network; biology parameter; fermentation process; genetic algorithms; germ concentration; glutamic acid; neural network; online monitoring; online soft sensing; realtime detection; Amino acids; Coils; Educational institutions; Industrial control; Monitoring; Nitrogen; Process control; Production; Temperature measurement; Ventilation; fermentation process; germ concentratione; glutamic acid; soft-sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.322

Filename

5376407