skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Application of AI techniques to blast furnace operations

Abstract

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.

Authors:
; ;  [1]
  1. Kawasaki Steel Corp., Kurashiki (Japan)
Publication Date:
OSTI Identifier:
131723
Resource Type:
Journal Article
Journal Name:
Iron and Steel Engineer
Additional Journal Information:
Journal Volume: 72; Journal Issue: 10; Other Information: PBD: Oct 1995
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; BLAST FURNACES; PROCESS CONTROL; EXPERT SYSTEMS; ARTIFICIAL INTELLIGENCE; TEMPERATURE CONTROL; COMBUSTION CONTROL; COKE; PULVERIZED FUELS; COAL; CONTROL SYSTEMS

Citation Formats

Iida, Osamu, Ushijima, Yuichi, and Sawada, Toshiro. Application of AI techniques to blast furnace operations. United States: N. p., 1995. Web.
Iida, Osamu, Ushijima, Yuichi, & Sawada, Toshiro. Application of AI techniques to blast furnace operations. United States.
Iida, Osamu, Ushijima, Yuichi, and Sawada, Toshiro. 1995. "Application of AI techniques to blast furnace operations". United States.
@article{osti_131723,
title = {Application of AI techniques to blast furnace operations},
author = {Iida, Osamu and Ushijima, Yuichi and Sawada, Toshiro},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/131723}, journal = {Iron and Steel Engineer},
number = 10,
volume = 72,
place = {United States},
year = {Sun Oct 01 00:00:00 EDT 1995},
month = {Sun Oct 01 00:00:00 EDT 1995}
}