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数据挖掘在连铸二冷配水控制优化中的应用

Data Mining Applications for Optimization of Secondary Cooling Control in Continuous Casting
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摘要 根据实际连铸生产线的现状和使用要求,利用数据挖掘技术对连铸二冷动态配水模型的仿真、二冷制度以及水流密度与传热系数的换算进行优化,提高了自主开发动态配水模型的效率和水平。从最终所建模型的效果来看,在满足现场需要的同时,达到了对国外先进技术吸收消化的目的。 Based on the operating conditions and technical demands of continuous casting, Optimizing for simulation of secondary cooling dynamic control model, calculation of specific loop water setpoints and coefficient of heat-transfer by data mining. It improved the developing efficiency of modeling .The result show that the model is satisfaction of the wants of caster.
出处 《微计算机信息》 2009年第25期20-21,6,共3页 Control & Automation
基金 基金申请人:张玉宝 项目名称:连铸坯动态轻压下机理研究 基金颁发部门:内蒙古科技厅(200607010705)
关键词 连铸 二冷配水控制模型 数据挖掘 优化 Continuous casting Secondary cooling control model Data mining Optimization
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