Association Rules Mining for Oxygen Consumption Reduction in Basic Oxygen Furnace Steelmaking Process
摘要
Oxygen consumption reductionOxygen consumption reduction (OCR) is beneficial for the reduction of off-gas and saving energy in the basic oxygen furnace (BOF) steelmaking process. The traditional OCR method relies on manual experience, which has repeated blowing adjustments and increases oxygen consumption. In this study, a method based on association rules miningAssociation rules mining (ARM) has been proposed to obtain standard operation guidanceOperation guidance for OCR. Practical 686 heat data were collected and divided into 3 groups according to steelSteel target composition: low carbon and low phosphorus steelSteel (LCLPS), high carbon and low phosphorus steelSteel (HCLPS), and normal steelSteel (NS). ARM algorithm is used in each dataset to obtain the operation guidanceOperation guidance. The results indicate that the oxygen consumption in LCLPS, HCLPS, and NS is averaged reduced by 9.5 Nm3/heat, 2.9 Nm3/heat, and 39.3 Nm3/heat, respectively when the generated operations guidance is used in real production. This study is contributed for OCR in the BOF steelmaking processBOF steelmaking process.