Process Optimization begin with a deep Knowledge and
Process Optimization begin with a deep Knowledge and Understanding of process APC/AI Advanced Process Control & Artificial Intelligence Turning Knowledge into Business Advantage Gianni Mappa g. mappa@anova. it 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? Where? How? • When? When Not? Why? 2. – Business Cases • • • Dairy Industry (TOC) Trend Analisys Life Project in Textile Industry (Water Recycle) Olive Oil finishing (Knowledge Estraction) Knowledge Base Sensors WQI
What for Artificial intelligence in Process Control? What we can do in this case? (with scatterplots as the following) . . . and What we can do when we have no correlation among data in a multidimensional database? 3
What Artificial intelligence can do in Process Control? What we can do On-Line Probe/Sensors when we have to dynamically detect a complex process parameter (TOC, WQI, etc. ) and we have not specific on-line instrumentation to do it? Or when we have hazardous constraints in using traditional process control approach? . . . and What we can do when we have a new or not repetitive industrial process changing ? . . . and so on. . .
What for Artificial intelligence in Process Control? A first gross differentiation: about Algorithmic Approach to a fixed problem. Qualitative Data Non-DETERMINISTIC Approach Artificial Intelligence (Knowledge Extraction & Know. Engineering) Both Statistical APC & Artificial Intelligence Statistical APC DETERMINISTIC Approach Quantitative Data Rate
What for Artificial intelligence in Process Control? A second gross differentiation: about N° Causes/Effect from a fixed problem. Effect rate XBase N° of Causes
What for Artificial intelligence in Process Control? A third gross differentiation: about Warning in “adapting” theory to reality in a fixed problem.
- Slides: 7