Improvement for Large scale database-based Online Modelling of Melting Furnace

Abstract

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.