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Dynamic reasoning to solve complex problems in activated sludge processes: a step further in decision support systems

Martínez, M ; Rodríguez-Roda, I ; Poch, Manel LU ; Cortés, U and Comas, J (2006) In Water Science and Technology 53(1). p.191-198
Abstract
Decision support systems (DSS) have generated high expectations as a tool to support activated sludge operation because of their ability to represent heuristic reasoning and to handle large amounts of qualitative, uncertain and low-accuracy data. Previous applications have been satisfactory to control simple problems, when static reasoning and literature-based solutions were enough. However to face complex operational problems with biological origin and slow dynamics (e.g. solids separation problems), it is necessary to use dynamic reasoning and apply long-term control strategies, monitoring the evolution of the process and adjusting the action plan according to the feed back of the process. This paper presents a dynamic reasoning DSS to... (More)
Decision support systems (DSS) have generated high expectations as a tool to support activated sludge operation because of their ability to represent heuristic reasoning and to handle large amounts of qualitative, uncertain and low-accuracy data. Previous applications have been satisfactory to control simple problems, when static reasoning and literature-based solutions were enough. However to face complex operational problems with biological origin and slow dynamics (e.g. solids separation problems), it is necessary to use dynamic reasoning and apply long-term control strategies, monitoring the evolution of the process and adjusting the action plan according to the feed back of the process. This paper presents a dynamic reasoning DSS to face solids separation problems in the activated sludge system. The DSS is capable of identifying the complex problem affecting the process, determining if the current situation is new or a continuation from the previous one, assessing what is the specific cause of the situation, and recommending a long-term control strategy, which is daily adjusted according to the evolution of the process. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
bulking, artificial intelligence, decision support systems, solids separation problems, sludge, dynamic reasoning
in
Water Science and Technology
volume
53
issue
1
pages
191 - 198
publisher
IWA Publishing
external identifiers
  • scopus:33644613098
ISSN
0273-1223
DOI
10.2166/wst.2006.021
language
English
LU publication?
yes
id
8e8e267e-13ca-46e6-a0b2-55209b416a64 (old id 640523)
date added to LUP
2016-04-01 16:41:13
date last changed
2021-02-17 07:01:00
@article{8e8e267e-13ca-46e6-a0b2-55209b416a64,
  abstract     = {Decision support systems (DSS) have generated high expectations as a tool to support activated sludge operation because of their ability to represent heuristic reasoning and to handle large amounts of qualitative, uncertain and low-accuracy data. Previous applications have been satisfactory to control simple problems, when static reasoning and literature-based solutions were enough. However to face complex operational problems with biological origin and slow dynamics (e.g. solids separation problems), it is necessary to use dynamic reasoning and apply long-term control strategies, monitoring the evolution of the process and adjusting the action plan according to the feed back of the process. This paper presents a dynamic reasoning DSS to face solids separation problems in the activated sludge system. The DSS is capable of identifying the complex problem affecting the process, determining if the current situation is new or a continuation from the previous one, assessing what is the specific cause of the situation, and recommending a long-term control strategy, which is daily adjusted according to the evolution of the process.},
  author       = {Martínez, M and Rodríguez-Roda, I and Poch, Manel and Cortés, U and Comas, J},
  issn         = {0273-1223},
  language     = {eng},
  number       = {1},
  pages        = {191--198},
  publisher    = {IWA Publishing},
  series       = {Water Science and Technology},
  title        = {Dynamic reasoning to solve complex problems in activated sludge processes: a step further in decision support systems},
  url          = {http://dx.doi.org/10.2166/wst.2006.021},
  doi          = {10.2166/wst.2006.021},
  volume       = {53},
  year         = {2006},
}