Application for large scale database-based online modeling of melting furnace

Y. Akaike, K. Higashi, N. Tanaka, H. Furuya, M. Ogawa, Y. Yeh, T. Tokunaga, Harutoshi Ogai

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

1 Citation (Scopus)

Abstract

Recently, attention has been drawn by the local modeling techniques of a idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online modeling (LOM)" has been proposed LOM is such a technique that makes the retrieval of neighboring data more efficient by using stepwise method and quantization. This paper reports the application of LOM, a computerized sequential prediction method which uses a local regression model, on the shaft-furnace direct melting system (melting furnace) to systematically support and enhance the operation procedure compared to conventional methods of relying only human skills and experiences.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages120-125
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IFAC Workshop on Automation in the Mining, Mineral and Metal Industries, MMM 2012 - Gifu
Duration: 2012 Sep 102012 Sep 12

Other

Other2012 IFAC Workshop on Automation in the Mining, Mineral and Metal Industries, MMM 2012
CityGifu
Period12/9/1012/9/12

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Keywords

  • Database
  • JIT modeling
  • LOM
  • Melting furnace
  • Operation support
  • Sequential prediction

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Akaike, Y., Higashi, K., Tanaka, N., Furuya, H., Ogawa, M., Yeh, Y., Tokunaga, T., & Ogai, H. (2012). Application for large scale database-based online modeling of melting furnace. In IFAC Proceedings Volumes (IFAC-PapersOnline) (pp. 120-125) https://doi.org/10.3182/20120910-3-JP-4023.00016