Application of AI techniques to blast furnace operations

Journal Article · Sun Oct 01 04:00:00 EDT 1995 · Iron and Steel Engineer

OSTI ID:131723

Iida, Osamu; Ushijima, Yuichi; Sawada, Toshiro ^[1]

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1. Kawasaki Steel Corp., Kurashiki (Japan)

It was during the first stages of application of artificial intelligence (AI) to industrial fields, that the ironmaking division of Mizushima works at Kawasaki Steel recognized its potential. Since that time, the division has sought applications for these techniques to solve various problems. AI techniques applied to control the No. 3 blast furnace operations at the Mizushima works include: Blast furnace control by a diagnostic type of expert system that gives guidance to the actions required for blast furnace operation as well as control of furnace heat by automatically setting blast temperature; Hot stove combustion control by a combination of fuzzy inference and a physical model to insure good thermal efficiency of the stove; and blast furnace burden control using neural networks makes it possible to connect the pattern of gas flow distribution with the condition of the furnace. Experience of AI to control the blast furnace and other ironmaking operations has proved its capability for achieving automation and increased operating efficiency. The benefits are very high. For these reasons, the applications of AI techniques will be extended in the future and new techniques studied to further improve the power of AI.

• OSTI ID: 131723
• Journal Information: Iron and Steel Engineer, Journal Name: Iron and Steel Engineer Journal Issue: 10 Vol. 72; ISSN IRSEA5; ISSN 0021-1559
• Country of Publication: United States
• Language: English

Related Subjects

01 COAL, LIGNITE, AND PEAT
ARTIFICIAL INTELLIGENCE
BLAST FURNACES
COAL
COKE
COMBUSTION CONTROL
CONTROL SYSTEMS
EXPERT SYSTEMS
PROCESS CONTROL
PULVERIZED FUELS
TEMPERATURE CONTROL