Based on BP Network Terminal Quality Prediction for BOF Steelmaking Process

摘要：

The aspect of impact on the quality of steel is considered, according to the actual production process data in a refinery, BP neural network is applied to establish the steel quality forecasting model, which would improve steel making rate as a target. Based on existing Manage Information System of steelmaking factory, the factors which impact to hit ratio of steel’s kinds are investigated in details. A quality control model for the appropriate steelmaking process is studied, and the black box model of BOF steelmaking terminal prediction and process optimization is established. The results show that the steel pre-evaluation system is designed based on BP neural network to benefit for steel quality evaluation.

关键词： BOF Steelmaking Terminal Prediction BP Network Model Quality Evaluation

作者: Guicheng Wang Xiangping Kong Zhansheng Zhang Wendan Zhao Shuzhi Gao Xinhe Xu

作者单位: College of Information Engineering, Shenyang Institute of Chemical Technology, Shenyang , 110142 Sch College of Information Engineering, Shenyang Institute of Chemical Technology, Shenyang , 110142 School of Information Science and Engineering, Northeastern University, Shenyang, 110004

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 2663-2666

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）