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APC/AI
Advanced Process Control & Artificial Intelligence
Gianni Mappa [email protected]
Jupiterweg 17 A PO Box 7562 8903 JN Leeuwarden
Process Optimization begin with a deep Knowledge and Understanding of process
Contents 1. - AI in Process Control: What for?
• What AI tech? Where applied it? How? • When? When Not? Why?
2. – Business Cases
• Dairy Industry : Trend Analysis and TOC peaks detection • Wine Industry: Cordis FP5 Project “ELEN-Tool” (Sensor) • Olive Oil Finishing: Knowledge Estraction from SCADA System • Textile Industry: Life Project (Water Recycle) – Color Sensor • WasteWater Industry: Knowledge Based Sensors & Controller • ...
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# Sometimes we have to face up process control cases where available data are not clearly correlated or they their correlation changing continuously, in this case we have a problem …
Artificial intelligence in Process Control
What we can do in a case of this?
Artificial intelligence in Process Control
On-Line
Probe/Sensors
# Sometimes we need to on-line detect a not-measurable process complex parameter (TOC, WQI, etc.), but unfortunately we have not the right on-line instrumentation to do it …. # Sometimes we have to face up in a complex (multidisciplinary) and constrained or hazardous context, where the problem is to timely (Early Warning) detect a risk or a critical event … # Sometimes we have to deal with “living” or evolutive process control (like biological reactor) so, we have not significant historical data base …
What we can do in a case of this?
The Hidden Side of Knowledge… How to discover it, with Knowledge Engineering approach…
There is a large part of Knowledge (qualitative, latent, heuristic, “common sense”..) that cannot be dealt with deterministic or statistical approach… Process Control not always is a defined mathematical model with around some casual disturbs variables, on the contrary the human expertise make use of all kind of knowledge when he is involved to decide how to control a process … In order to solve complex (real) problems by using human expertise integrating knowledge (all kind of it) into computer systems, we have to use KNOWLEDGE ENGINEERING discipline and technical approach…
Warning: don’t fall in temptation “adapting” theory to reality ...
The Hidden Side of Knowledge… How to discover it,… to late…
What Artificial intelligence in Process Control?
A simplifying distinction between Deterministic/Non-Deterministic approach:
Artificial
Intelligence
Both
Statistical APC & Artificial Intelligence
Artificial
Intelligence (Knowledge Extraction & Know. Engineering)
Statistical APC
Qu
alit
ati
ve D
ata
Quantitative Data
Non-DETERMINISTIC Approach
DETERMINISTIC Approach
His
tori
cal B
ase
d a
pp
roa
ch
Knowledge Based approach
SPC – Statistical Process Control
ANN – Artificial Neural Networks
FDC – Fault Detection & Pattern Recognition /Classification
SS - Soft Sensors
ES/KBS – Real-Time Knowledge Based System
ML – Machine Learning
GA – Genetic Algorithms
MPM – Multivariate Process Modeling
MBPC – Model Based Predictive Control
FDC/Wavelets Framework
QTA – Qualitative Trend analysis/Forecasting
NF – Artificial Neuro -Fuzzy Networks
SO – Sensor Ontology
ISS - Intelligent Soft Sensors
"He who lives by the crystal ball soon
learns to eat ground glass."
Edgar R. Fiedler
What Artificial intelligence in Process Control?
Eff
ect
ra
te
N° of Causes
XBase Tech
A simplifying distinction between N°Causes & Effect rate towards a problem and related problem-solving approach:
What Artificial intelligence in Process Control?
2) Intelligent Monitoring & (Learning) Control System
3) Real-Time Expert System (XBASE: Cognitive Tool)
1) Knowledge Extraction and Engineering
What Artificial intelligence in Process Control?
