Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (18): 223-225.

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Oxidation-reduction potential optimal setting for purification of removal of cobalt and nickel with arsenic salt process

GAO Wei1, TANG Zhaohui1, WU Tiebin1,2   

  1. 1.School of Information Science and Engineering, Central South University, Changsha 410083, China
    2.Ddepartment of Communications & Control Engineering, Hunan Institute of Humanities Science and Technology, Loudi, Hunan 417000, China
  • Online:2012-06-21 Published:2012-06-20

砷盐净化除钴镍过程氧化还原电位的优化设定

高  伟1,唐朝晖1,伍铁斌1,2   

  1. 1.中南大学 信息科学与工程学院,长沙 410083
    2.湖南人文科技学院 通信与控制工程系,湖南 娄底 417000

Abstract: In the purification process of zinc hydrometallurgy, the adding of the zinc powder is controlled by Oxidation-Reduction Potential(ORP) measuring instrument. It is difficult to establish accurate mathematical model of ORP and the cobalt ion concentration in purification process. Owing to this problem, a Case-Based Reasoning optimal ORP setting technology is proposed. In order to overcome the problem that KNN is easily disturbed by feature weighted and the subjectivity of the choice of K value, genetic algorithm is used to optimize these parameters. When the operating mode condition changes, optimal ORP setting system can automatically adjust ORP setting value, add the amount of zinc in real-time adjustment to achieve optimization of zinc powder added, reducing the consumption of the zinc powder.

Key words: nickel cobalt removal, Oxidation-Reduction Potential, case-based reasoning, genetic algorithm, optimal setting

摘要: 在湿法炼锌净化除钴镍过程中,锌粉的加入量由现场的氧化还原电位(ORP)测量仪控制。针对净化除钴镍过程中ORP与钴离子浓度难以建立精确数学模型,提出了一种基于案例推理(Case-Based Reasoning,CBR)技术的除钴镍过程氧化还原电位的优化设定方法。为了克服案例推理最近邻检索(KNN)算法易受单个特征属性干扰及近邻个数选取具有很大的主观性因素影响,采用遗传算法优化特征属性权重和近邻数,提高案例的检索精度。基于案例推理的ORP优化设定方法在工况条件发生变化时,能够自动调整ORP设定值,实时调整锌粉添加量,实现了锌粉的优化添加,降低了锌粉的消耗。

关键词: 净化除钴镍, 氧化还原电位(ORP), 案例推理, 遗传算法, 优化设定