DocumentCode :
2205549
Title :
Study on the intelligent soft sensing method for sewage disposal system
Author :
Liu, Zaiwen ; Wang, Zhengxiang ; Xue, Fuxia ; HOU, Chaozhen ; Qi, Guoqiang
Author_Institution :
Sch. of Inf. Eng., Beijing Technol. & Bus. Univ., China
fYear :
2004
fDate :
21-25 June 2004
Firstpage :
181
Lastpage :
183
Abstract :
Intelligent soft sensing method based on the radial basic function (RBF) neural network for water quality of outlet in SBR sewage disposal process, and the structure and simulation of RBF neural network are proposed in this paper. The problems that are difficult to establish mathematic model of SBR process and to apply real- time control in SBR system can be solved through adopting the soft sensing and fuzzy control method. This creates an essential condition for the real time control in sewage disposal process. The result shows that the simulated RBF neural network may be used to fulfill soft sensing for effluent BOD from SBR, and the model can be used to predict the practical water quality sample output The simulation result indicates that it is feasible for using RBF neural network to establish soft-sensing model and the model is correct and rational.
Keywords :
fuzzy control; intelligent control; radial basis function networks; real-time systems; sensors; sewage treatment; wastewater treatment; SBR sewage disposal process; Sequential Batch Reactive mud method; biochemical oxygen demand; fuzzy control method; intelligent soft sensing method; radial basic function neural network; real time control; sewage disposal system; water quality; Control system synthesis; Effluents; Fuzzy control; Intelligent networks; Intelligent structures; Intelligent systems; Mathematical model; Mathematics; Neural networks; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2004. Proceedings. International Conference on
Print_ISBN :
0-7803-8629-9
Type :
conf
DOI :
10.1109/ICIA.2004.1373346
Filename :
1373346
Link To Document :
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