A Fuzzy Logic System for Carbon Estimation in a Basic Oxygen Furnace

摘要：

In this paper, a fuzzy logic system for metal analysis in a basic oxygen furnace (BOF) is described. This system uses the optical spectral emitted from the BOF mouth as inputs and the carbon content of the molten metal contained in BOF as outputs, in order to provide an efficient decision support application. The membership functions and the rules are defined by utilizing both data analysis and expert knowledge. The optical radiation variables employed to develop the fuzzy logic system are selected from the real production data supported by a dedicated optical sensor of a full scale BOF at Nanjing steels. In experiments with real data, the fuzzy logic system provides accurate estimates of the carbon content in the converter.

关键词： BOF Steelmaking Carbon content Fuzzy logic

作者: Meng Zhang Yanru Chen Lingfei Xu Yongqing Wang

作者单位: School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology Nanjing 210094, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 30-33

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）