东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (12): 1673-1676.DOI: -

• 论著 •    下一篇

基于案例推理的电弧炉终点预报

袁平;王福利;毛志忠;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(N100404011)

CBR based endpoint prediction of EAF

Yuan, Ping (1); Wang, Fu-Li (1); Mao, Zhi-Zhong (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Yuan, P.
  • About author:-
  • Supported by:
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摘要： 在电弧炉(EAF)冶炼生产过程中,出钢温度、碳含量和磷含量等终点参数直接关系到后续生产工艺,甚至影响产品质量.基于增量预报模型的思想,提出采用案例推理方法进行电弧炉炼钢的终点预报,该方法由于建立在已有的炼钢案例基础上,具有方法简单、不需要复杂数学推理的优点,并具有较强的鲁棒性.考虑到电弧炉炼钢影响因素较多、具有较强的非线性,采用支持向量机对案例推理的结果进行增量补偿修整.实践证明,经补偿后的案例推理方法预报精度较高,预报结果接近实际值,该方法是切实可行并有效的,可以用于电弧炉炼钢终点钢水温度、碳含量和磷含量的预报.

关键词: 终点预报, 案例推理, 支持向量机, 电弧炉, 增量模型

Abstract: In the smelting process of electric arc furnace (EAF), as the endpoint parameters , the steel temperature, carbon content and phosphorus content affect the EAF's operation and quality of production, and therefore the endpoint control is of gr eat importance. Based on the idea of increasing model, a case based reasoning (CBR) based endpoint prediction model is proposed. In order to minimize the severe nonlinear correlation among the input parameters, and to improve the accuracy and robustness of the model, the result of CBR is corrected by fuzzy least square support vector machines (FLS-SVM). The accuracy of prediction model is remarkably improved and the simulation results demonstrate the efficiency of the method.

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