Application for Large scale database-based Online Modeling of Melting Furnace

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.