DocumentCode
301496
Title
Computational intelligence in a real-time SCADA system to monitor and control continuous casting of steel billets
Author
Rakocevic, V. ; Meech, J.A. ; Kumar, S. ; Samarasekera, I.V. ; Brimacombe, J.K.
Author_Institution
Centre for Metall. Process Eng., British Columbia Univ., Vancouver, BC, Canada
Volume
2
fYear
1995
fDate
22-25 Oct 1995
Firstpage
1653
Abstract
An intelligent module has been developed for a continuous billet casting mould in which features are extracted from rapidly-changing data (~200 Hz). The system mimics how a human reads a graph or time-series chart and instantly recognizes aspects and trends about process operation and stability. A real-time expert system then uses this preprocessed data for intelligent supervisory or adaptive control. The tools for real-time filtering use elements of the new field known as computational intelligence. Mathematical primitives and heuristic processing allow rapid analysis to provide symbolic information. This paper describes the concept of CI as used to support real-time monitoring of continuous casting of steel billets
Keywords
SCADA systems; adaptive control; casting; expert systems; process control; real-time systems; steel industry; adaptive control; computational intelligence; continuous casting; graph; intelligent module; intelligent supervisory control; rapidly-changing data; real-time SCADA system; real-time expert system; real-time filtering; real-time monitoring; steel billets; symbolic information; time-series chart; Billets; Casting; Competitive intelligence; Computational intelligence; Data mining; Feature extraction; Humans; Monitoring; Real time systems; SCADA systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.538011
Filename
538011
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