PMID- 21862097
OWN - NLM
STAT- MEDLINE
DCOM- 20111118
LR  - 20131121
IS  - 1879-2448 (Electronic)
IS  - 0043-1354 (Linking)
VI  - 45
IP  - 16
DP  - 2011 Oct 15
TI  - Improving the efficiencies of simultaneous organic substance and nitrogen removal 
      in a multi-stage loop membrane bioreactor-based PWWTP using an on-line 
      Knowledge-Based Expert System.
PG  - 5266-78
LID - 10.1016/j.watres.2011.07.032 [doi]
AB  - The results of the use of an expert system (ES) to control a novel multi-stage 
      loop membrane bioreactor (MLMBR) for the simultaneous removal of organic 
      substances and nutrients are reported. The study was conducted at a bench-scale 
      plant for the purpose of meeting new discharge standards (GB21904-2008) for the 
      treatment of chemical synthesis-based pharmaceutical wastewater (1200-9600 mg/L 
      COD, 500-2500 mg/L BOD5, 50-200 mg/L NH4+-N and 105-400 mg/L TN in the influent 
      water) by developing a distributed control system. The system allows various 
      expert operational approaches to be deployed with the goal of minimizing organic 
      substances and nitrogen levels in the outlet while using the minimum amount of 
      energy. The proposed distributed control system, which is supervised by a 
      Knowledge-Based Expert System (KBES) constructed with G2 (a tool for expert 
      system development) and a back propagation BP artificial neural network, permits 
      the on-line implementation of every operating strategy of the experimental 
      system. A support vector machine (SVM) is applied to achieve pattern recognition. 
      A set of experiments involving variable sludge retention time (SRT), hydraulic 
      retention time (HRT) and dissolved oxygen (DO) was carried out. Using the 
      proposed system, the amounts of COD, TN and NH4+-N in the effluent decreased by 
      55%, 62% and 38%, respectively, compared to the usual operating conditions. These 
      improvements were achieved with little energy cost because the performance of the 
      treatment plant was optimized using operating rules implemented in real time.
CI  - Copyright (c) 2011 Elsevier Ltd. All rights reserved.
FAU - Chen, Zhao-Bo
AU  - Chen ZB
AD  - School of Materials Science & Chemical Engineering, Harbin Engineering 
      University, 145 Nantong Street, Harbin 150001, China.
FAU - Nie, Shu-Kai
AU  - Nie SK
FAU - Ren, Nan-Qi
AU  - Ren NQ
FAU - Chen, Zhi-Qiang
AU  - Chen ZQ
FAU - Wang, Hong-Cheng
AU  - Wang HC
FAU - Cui, Min-Hua
AU  - Cui MH
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Retracted Publication
DEP - 20110803
PL  - England
TA  - Water Res
JT  - Water research
JID - 0105072
RN  - 0 (Membranes, Artificial)
RN  - 0 (Organic Chemicals)
RN  - N762921K75 (Nitrogen)
SB  - IM
RIN - Water Res. 2013 Feb 1;47(2):955. PMID: 23390642
MH  - *Bioreactors
MH  - Equipment Design
MH  - *Expert Systems
MH  - *Membranes, Artificial
MH  - Nitrogen/*isolation & purification
MH  - Organic Chemicals/*isolation & purification
EDAT- 2011/08/25 06:00
MHDA- 2011/12/13 00:00
CRDT- 2011/08/25 06:00
PHST- 2011/04/06 00:00 [received]
PHST- 2011/07/23 00:00 [revised]
PHST- 2011/07/25 00:00 [accepted]
PHST- 2011/08/25 06:00 [entrez]
PHST- 2011/08/25 06:00 [pubmed]
PHST- 2011/12/13 00:00 [medline]
AID - S0043-1354(11)00429-5 [pii]
AID - 10.1016/j.watres.2011.07.032 [doi]
PST - ppublish
SO  - Water Res. 2011 Oct 15;45(16):5266-78. doi: 10.1016/j.watres.2011.07.032. Epub 
      2011 Aug 3.