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结晶器专家系统在莱钢宽厚板连铸机中的应用
引用本文:刘海鲲,颜炳正,李凤巧,董跃华,鲍红宾.结晶器专家系统在莱钢宽厚板连铸机中的应用[J].山东冶金,2010,32(2):64-65.
作者姓名:刘海鲲  颜炳正  李凤巧  董跃华  鲍红宾
作者单位:莱芜钢铁集团有限公司,自动化部,山东,莱芜,271104
摘    要:为减少漏钢事故,莱钢在宽厚板连铸机应用结晶器专家系统,使用神经元网络模块建立振动摩擦力分析模型,通过拉钢过程中摩擦力的变化特征来预报不同类型的漏钢;将实时采集到的热电偶温度、拉速、液位、摩擦力等作为模型的基本参数,钢种、水垢厚度、保护渣、铸坯宽度等作为辅助参数,建立结晶器热力学模型,采用离线方式训练神经元网络。应用表明,连铸过程漏钢预警预报频率逐渐减少。

关 键 词:结晶器专家系统  神经元网络  振动摩擦力  漏钢预报

Application of Mold Expert System in Laiwu Steel's Heavy Plat CCM
LIU Hai-kun,YAN Bing-zheng,LI Feng-qiao,DONG Yue-hua,BAO Hong-bin.Application of Mold Expert System in Laiwu Steel's Heavy Plat CCM[J].Shandong Metallurgy,2010,32(2):64-65.
Authors:LIU Hai-kun  YAN Bing-zheng  LI Feng-qiao  DONG Yue-hua  BAO Hong-bin
Affiliation:(The Automation Department of Laiwu Iron and Steel Group Corporation,Laiwu 271104,China)
Abstract:In order to reduce breakout accidents,Laiwu Steel applied mold expert system in heavy plate CCM.It established the analyses model of vibration friction force by neural network and forecast breakouts of different types.It made the thermocouple temperature,casting speed,liquid level and friction force etc as the basic parameters and steel grades,scale thickness,mould powder and casting slab width etc as auxiliary parameters to establish mold thermodynamic model and trained the neural network in off line.Application showed that the early warning and forecast frequency for breakout in continuous casting process gradually reduced.
Keywords:mold expert system  neural network  vibration friction force  breakout prevention
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