Application of large scale database-based online modelling on blast furnace operation

Masahiro Ito, Shinroku Matsuzaki, Harutoshi Ogai, Kenichi Mori, Kenko Uchida, Shinichi Saito, Nozomi Sasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

A practical method of JIT modelling for a blast furnace process data whose characteristics are very complicated physical phenomena and stiff nonlinear process are studied. The proposed method is composed of severely selecting process data variables by stepwise method and searching the past similar data in quantized topological space constructed by the selected variables. The effectiveness of this method is confirmed. It is also confirmed that it is sufficiently possible to apply this method to online use because the calculation time is quite short for searching the past similar data and estimating the future.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Pages253-258
Number of pages6
ISBN (Print)008045108X, 9780080451084
DOIs
Publication statusPublished - 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume16
ISSN (Print)1474-6670

Keywords

  • Database
  • Dynamic modelling
  • Nonlinear models
  • On-line control
  • Regression estimates
  • Steel manufacture
  • Validity
  • Variables

ASJC Scopus subject areas

  • Control and Systems Engineering

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