Experimental Study of Intelligent Monitoring of Blast Furnace Stave

摘要：

To monitor the thermal situation of the blast furnace stave and to prolong the lifetime of the blast furnace, the neural network simulation technique is introduced for mathematical simulation of a blast furnace stave. Based on the heat-transfer model and the data of the test, the relationship of the maximum temperature of hot surface of the blast furnace staves and survey points on the stave with uniform temperature and local high temperature in hot surface on staves is explored. The monitoring model for staves is trained by taking advantage of the experimental data to improve the degree of agreement between the model and practical physical as well. The model can predict the thermal situation of a blast furnace stave on-line.

关键词： blast furnace stave prediction experimental study

作者: Lu Zu’an Wu Lijun Sun Guoping Zhou Weiguo Xiong Liangyong

作者单位: Department of Thermal Engineering , School of Mechanical Engineering, Tong Ji University,Shanghai, 2 Ironmaking plant of Nanjing Iron & Steel United Co.LTD, Nanjing, 210035, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 1251-1254

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）