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The aim of the research project is the improvement of the blast furnace control by the operators. This shall be achieved by creating an expert system, which offers a support to the necessary continuous assessment and prognosis of the furnace condition as well as actions to be inferred. A system was implemented, that uses knowledge sources of different origins:

- Knowledge of experience of operators and engineers, expressed by rules;
- Physical and chemical interferences, expressed by mathematical models;
- Characteristic signal shapes, interpreted by artificial neural networks.

The expert system adopts a coordinating task, applies the respective advantages of the different representations of knowledge, and compiles their results to a global assessment of the process situation. tion.

Additional information

Authors: PLÜM H D, Verein Deutscher Eisenhüttenleute, Düsseldorf (DE);PETERS H, Verein Deutscher Eisenhüttenleute, Düsseldorf (DE);KREIBICH K, Verein Deutscher Eisenhüttenleute, Düsseldorf (DE);PLUM H D, Verein Deutscher Eisenhuttenleute, Dusseldorf (DE)
Bibliographic Reference: EUR 16783 DE (1997) 56pp., FS, ECU 10.00
Availability: Available from the (2)
ISBN: ISBN 92-828-1124-7
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