Application of Expert System to Blast Furnace Operation

Watanabe, Satoshi; Amano, Shigeru; Takarabe, Tsuyoshi; Nakamori, Takashi; Oda, Hiroshi; Taira, Masamichi; Seki, Takatoshi

doi:10.1016/s1474-6670(17)53118-3

Cited by 4 publications

(1 citation statement)

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“…The first expert system application to blast furnace operation was presented as early as in 1989 by Watanabe et al, 1989. This system was implemented in the Kimitsu Works of Nippon Steel Corporation.…”

Section: Mineral Processingmentioning

confidence: 99%

Current status and future trends in the automation of mineral and metal processing

Jämsä‐Jounela¹

2001

Control Engineering Practice

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Abstract:A review of the current status and future trends in the automation and control of mineral and metal processing is presented. An evaluation of publications on IFAC MMM events during the last 20 years shows some trends in the application of a number of process control methods in the MM industry. Classical control has seen an extraordinarily wide application, but its inability to solve all the application problems of interest has led to further developments in control system methodologies and theory. One aim of this paper is to review the success of the translation of theoretically based developments into practice. Finally, the importance of information technology for the MM industry and process automation is highlighted and discussed. r

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Section: Mineral Processingmentioning

confidence: 99%

Current status and future trends in the automation of mineral and metal processing

Jämsä‐Jounela¹

2001

Control Engineering Practice

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Artificial intelligence and expert systems in the steel industry

Carayannis

1993

JOM

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This article was prepared in an effort to determine the state of the art with respect to the use of artificial intelligence and expert system technologies within the steel industry. A number of important developments have been reported and most of them resulted in significant savings. Mathematical modeling is quite important both for understanding and for controlling a process. However, most steelmaking operations are extremely complex and cannot be described mathematically. They are, however, adequately controlled by human operators on the basis of their knowledge and expertise. Because of this, artificial intelligence is an ideal technology for the automation of many steelmakingrelated processes.

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