Improvement for large scale database-based online modelling of melting furnace

Chunlin Yu, Harutoshi Ogai, Norihiro Tanaka, Hidehiko Furuya, Yuhei Akaike

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Recently, attention has been drawn by the local modeling techniques of an idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online modelling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using stepwise method and quantization. This paper reports the improvement of LOM, a computerized sequential prediction method which uses a local regression model by PLS, on the shaft-furnace direct melting system (melting furnace). The gas temperature prediction of the furnace is done without delay.

Original languageEnglish
Pages (from-to)28-32
Number of pages5
Issue number17
Publication statusPublished - 2015 Jul 1
Event4th IFAC Workshop on Mining, Mineral and Metal Processing, MMM 2015 - Oulu, Finland
Duration: 2015 Aug 252015 Aug 27


  • JIT modeling
  • LOM
  • PLS
  • Sequential prediction
  • Top gas temperature prediction

ASJC Scopus subject areas

  • Control and Systems Engineering


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