|Table of Contents|

Soft Sensors with ANN and PCA-ANN for Wastewater Treatment System (PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2008年第01期
Page:
101-106
Research Field:
环境地学
Publishing date:

Info

Title:
Soft Sensors with ANN and PCA-ANN for Wastewater Treatment System
Author(s):
YANG Wen-juan
School of Environmental Sciences and Engineering, Changan University, Xian 710054, Shaanxi, China
Keywords:
environment engineering soft sensors artificial neural networks principal components analysis- artificial neural networks wastewater treatment
PACS:
X703.1;TP273+.5
DOI:
-
Abstract:
In order to achieve an effective prediction of process performance and accuracy on-line steering of wastewater treatment plants, based on introduction of artificial neural networks and principal components analysis-artificial neural networks, an analytical description is given with respect to the domestic and overseas study status of the two soft sensors as well as the shortages of their applications to wastewater treatment system. The trends of artificial neural networks based soft sensors used in wastewater treatment system is discussed. The results indicate that these soft sensors based on neural networks can realize data analysis and simulation, and the application of these soft sensors can be improved by optimizing neural networks structure by combing with other data processing methods to calculate important system parameters and collecting the parameters closely related to biological process.

References:

[1] 卿晓霞 , 余建平 .软测量技 术及其在 污水处理 系统中的 应用 [J] .工业水处理 , 2005 , 25(3):13-16 .
[2] 杨中宝 , 彭省临, 李朝艳 .基于 GIS 的人工神经 网络矿产预测 系统设计及 应用[J] .地球科学 与环境学 报, 2005 , 27(1):30- 33.
[3] 祁国强 , 刘载文 , 崔莉凤 .基于 RBF 人工 神经网 络的生 活污 水处理软 测量 方法[J] .北 京工 商 大学 学报 :自 然 科学 版 , 2004 , 22(3):36-38 .
[4] 管 秋 , 王万良 , 徐新黎 , 等 .基于神经 网络的污 水处理 指标 软测量研究[J] .环境污染与防治 , 2006 , 28(2):156-158 .
[5] H ong Y S T , Rosen M R , Bhamidimarri R.Analysis of a Muni cipal Wast ew ater Treatment Plant Using a Neu ral Net- Work-Based Pat tern Analysi s[J] .Water Research , 2003 , 37 (7):1608-1618 .
[6] El-Din A G , Smith D W, El-Din M G .Applicati on of Art ificial Neural Netw orks in Wast ewater Treatment [J] .Journal of Environment al Engineering and S cience , 2004 , 3(Sup):81-95 .
[7] H amed M M , Khalafallah M G , H as sani en E A .Predict ion 第 1 期 杨文娟:神经网络和主元分析 神经网络软测量技术在污水处理系统中的应用 105 of Was tew at er T reatmen t Pl an t Perf orm ance Using Arti fici al Neural Netw ork s[J] .E nvi ronmental M odelling and Sof tw are, 2004 , 19(10):919-928 .
[8] S chul ze F H , Wolf H , Jansen H W, et al.A pplicati ons of A rtif icial Neural Netw orks in Integrated Wat er M anagement :Ficti on or Futu re[J] .Water S cien ce and Techn ol ogy , 2005 , 52(9):21-31 .
[9] Aguado D, Ferrer A , Seco A , et al.C om pari son of Dif ferent Predi ct ive M odels f or Nut ri en t Es tim at ion in a S equencing Bat ch React or f or Wastew ater Treatment[J] .C hem om et rics and Intelligent Laborat ory Sy st em s , 2006 , 84(1/ 2):75-81 .
[10] Rá duly B , Gernaey K V, C apodaglio A G , et al.Arti fici al Neural Netwo rk s f or Rapid WWTP Perf ormance Evaluation : Methodology and Case Study[J] .Envi ronm en tal M odelling and Sof tw are, 2007 , 22(8):1208-1216 .
[11] Mjalli F S , Al-Ash eh S , Alf adala H E .Use of Arti fici al Neu ral Netwo rk Bl ack-Box Modeling fo r the P redict ion of Wast ew ater T reatmen t Plant s Perfo rm ance[J] .Jou rn al of Environment al Management , 2007 , 83(3):329-338 .
[12] Rosen C , Olss on G .Di sturbance Det ecti on in Wast ewat er Treatment Syst ems [J] .Wat er Science and Techn ol ogy , 1998 , 37(12):197-205 .
[13] Lennox J .Mul tivariate S ubspaces for Fau lt Det ecti on and Is ol at ion :wi th Appli cation s t o the Was tew at er T reatment Process[D] .Bri sbane:Universit y of Queensl and , 2002 .
[14] Niu Dong xi ao , Gu Xihua .Appli cation of Linear Prog rammin g Tech niques for Mu ltidimen sional Analysis of Pref eren ce-Kern el Principal Component Analysis Model in Was tewat er Treatment [C] ∥ In ternati onal Ass oci at ion of Engineers .Proceedings of Int ernat ional Mult iconf erence of Engineers and Compu ter S cien ti st s 2007 .H ongkong :New sw ood Ltd , 2007 .
[15] 樊立萍 , 于海斌 .基于KPCA 的 SB R 过程监视[J] .仪器仪表 学报 , 2006 , 20(3):249-253 .
[16] Fan Liping , Xu Yang .A PC A-Combined Neu ral Netw ork Sof tware Sensor for SBR Proces ses[C] ∥ Liu Derong , Fei Sh umin , H ou Zengguang , et al.Advances in Neu ral Netw orks-4th In ternati onal S ymposium on Neu ral Netw orks 2007 Proceedings :Part Ⅱ .Berlin :Sp ringer-Verl ag , 2007 .
[17] Charef A , Ghauch A , Bau ssand P , et al.Water Qualit y Monit oring U sing a Smart S ensing Sys tem[J] .Measurem ent , 2000 , 28(3):219-224 .
[18] Olivei ra-Esquerre1 K P, Mori M , Bru ns R E .Simul at ion of an Indu st rial Wast ew ater Treatment Pl an t Using A rtif icial Neural Netw orks and Principal Component s Analysis [J] . Brazilian Journal of Ch emical Engineering , 2002 , 19 (4): 365-370 .
[19] 冉维丽 , 乔俊飞 .基 于 PCA-GABP 神 经网络 的 BOD 软 测量 方法[J] .控制工程 , 2004 , 11(3):212-215 .
[20] Lee D S , Jeon C O , Park J M , et al.Hyb rid Neu ral Netw ork Modeling of a Ful l-S cale Indus t rial Was tew at er Treatment Process[J] .Biot echnology and Bioen gineering , 2002 , 78(6):670-682 .

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Last Update: 2008-03-20