Application of Data Mining in BOF Steelmaking Endpoint Control

In this work, data mining was applied into in BOF steelmaking endpoint control. Through the characteristic analysis of key factors, the data sheet to control end point was formed. Potential knowledge was explored from the data sheet using association rule mining algorithm, then expert rule are achieved automatically. The results show that through the combination of the effective expert rules and traditional BOF endpoint model, carbon content and temperature were predicted with high accuracy. Therefore it can be a new research method to improve BOF automation.