Title :
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
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;
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
DOI :
10.1109/AICI.2009.322
