摘要
针对南钢二号高炉的实际情况,对炉腰及炉腹新型铜冷却壁进行了传热分析和智能监测。借助冷却壁筋肋和本体的测点温度,并将人工神经网络技术引入高炉冷却壁数值仿真,采用冷却壁传热分析与人工神经网络结合的方式,使得仿真软件在对错综复杂的实际对象特性进行认知和模拟时具备一定的智能,实现了对冷却壁热面最高温度以及冷却壁热面炉渣厚度的预测,从而使高炉操作者对炉形状况及趋势一目了然。
According to the actual situation of No.2 blast furnace in Nanjing Iron and Steel United Co.,LTD.,the thermal analysis and intelligent monitor of new type cast copper stave located in the furnace belly and bosh were carried out.With the help of the measuring point temperature of cooling stave body and its rib,simultaneously,artificial neural network was introduced into the numerical simulation of blast furnace.The simulation software which has the define intelligence to acknowledge and simulate the characteristics of the actual object makes the prediction to the maximum temperature and slag thickness of cooling stave hot surface come true by the combination of the heat transfer analysis and artificial neural network.Consequently,the blast furnace shape and trend are clear at a glance for the BF operators.
出处
《钢铁》
CAS
CSCD
北大核心
2010年第10期22-26,共5页
Iron and Steel
基金
国家自然科学基金资助项目(50974097)
关键词
智能监测
高炉铜冷却壁
人工神经网络
数值仿真
intelligent monitoring
blast furnace copper stave
artificial neural network
numeral simulation
