Study of optimizing oxygen injection in EAF process based on K-means clustering

The history data produced by steel-making were analyzed and then were processed to classify them according to the differences of hot metal, cost, oxygen consumption and yield. It provides practical infor-mation for the operator. For different sorts, several groups of oxygen injection and active power curves were found representing the corresponding sort and its optimization oxygen injection and active power curve were obtained after processing the curves together.