基于模糊操作模式的砷盐除钴过程操作参数协同优化

摘要

针对湿法炼锌砷盐除钴过程工况变化频繁和操作参数之间具有强耦合关系,导致操作参数优化困难的问题,提出了一种基于模糊操作模式的操作参数协同优化方法。根据大量的砷盐除钴工业运行数据,提炼初始操作模式库,根据入口工况参数,采用模糊匹配方法检索出相似操作模式,在操作模式重用时综合考虑系统参数缓慢变化和资源消耗的特点,然后采用灰色模糊最小二乘支持向量机(Least squares support vector machine, LSSVM)评估操作模式重用后的操作参数的可行性,并根据评估结果采用模糊专家规则修正操作参数。在工况发生变化时,系统能自动优化设定操作参数。工业验证结果表明,本文提出的操作参数协同优化方法保证了生产稳定,可有效提高净化后溶液中钴离子浓度的合格率和降低锌粉的消耗。%In the process of cobalt removal with arsenic salt in zinc hydrometallurgy, since the work conditions change frequently and the operating parameters couple strongly, it is difficult to optimize the operating parameters. To solve the problem, a method of operating parameters collaborative optimization based on fuzzy operational-pattern is proposed. The initial operational-pattern library is abstracted from the abundant industrial operating data of the cobalt removal process. A fuzzy matching method is adopted to search for similar operational-patterns according to the entrance working parameters. When the operational-pattern is reused, the slow change of system parameters and the characteristics of energy consumption should be considered comprehensively. Then the gray fuzzy least squares support vector machine (LSSVM) is used to evaluate the feasibility of operation parameter after reusing, and the operating parameters will be modified by fuzzy expert rules according to the evaluation result. When the working conditions change, the system can optimize and set the operating parameters automatically. The industrial test results show that the proposed operating parameters collaborative optimization method can ensure a stable production process running increase the qualified rate of outlet cobalt concentration, and help reduce zinc consumption effectively.