5.1. 2005. Oulu Raahe Oulainen Helsinki 5.1. 2005 Finnish Education System.
ACQUEAU WOrkshop Helsinki 2015_Brokerage session_Esko Juuso_University of Oulu
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Transcript of ACQUEAU WOrkshop Helsinki 2015_Brokerage session_Esko Juuso_University of Oulu
![Page 1: ACQUEAU WOrkshop Helsinki 2015_Brokerage session_Esko Juuso_University of Oulu](https://reader036.fdocuments.net/reader036/viewer/2022071721/55ad537c1a28ab656b8b45d9/html5/thumbnails/1.jpg)
ADVANCED CONTROL
FOR INDUSTRIAL WASTEWATER TREATMENT
1
Esko Juuso
Control Engineering, Faculty of Technology
University of Oulu, Finland
16.3.2015
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WASTEWATER TREATMENT
•Process alternatives
•Measurements
• Intelligent analyzers: combine measurements
•Control
•Diagnostics: Detection of operating conditions
16.3.2015
2
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Shortage of nutrients
Too much nutrients
High oxygen
Low oxygen
High temperature
Low temperature
High flow
Low flow
Very good
Low reduction
Settling problems
Very good
Warnings
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TREND ANALYSIS
• Trend index: scaled values, two windows
• Change
k
nki
j
L
k
nki
j
S
T
j
LS
kXn
kXn
kI )(1
1)(
1
1)(
Alarm
Alarm
There was a problem, but things are now getting better?Very good or
Very good
or
Variable specific
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TREATMENT RESULTS
Low
reduction
Settling
problems
Very good
Very good
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SUBMODELS
Water treatment
Fuzzy LE blocks
BioMass
Load
- Load
- Nutrients
- Oxygen
- Temperature
Condition of
the biomass
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INTELLIGENT ANALYSERS CONTROL
Intelligent analyser
(Software sensor)
Control
Decision making
Intelligent analyser
(Software sensor)Intelligent analyser
(Software sensor)
Control
Decision makingControl
Decision making
On-line modelling- identification
High-level control & diagnosticsweighting of stragies, switching,
cascade control,
plant-wide control, expertise
Performance
analysis
Adaptationadaptation mechanisms,
gain scheduling, scaling
Measurement
technology
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CONCLUSIONS
• Step-by-step procedure• Nonlinear scaling
• Trend indices (time windows, importance)
• Change of trend indices
• Deviation index
• Prognostics
• Early detection• Warnings
• Alarms
• Diagnostics, DSS & Control
• Hybrid models are needed• Uncertainty (features of influent, microbial
composition)• Mechanistic + Databased + Intelligent
Variable specific
Intelligent indices
Combinations Process states