锑浮选过程粗选扫选工序的药剂量协调优化方法

摘要

Considering the influence of reagent adjustment in different flotation bank on the final production index and the difficulty of establishing an effective mathematical model, a coordinated optimization method for dosage reagent based on key characteristics variation tendency and case-based reasoning is proposed. On the basis of the expert reagent regulation method in antimony flotation process, the reagent dosage pre-setting model of the roughing–scavenging bank is constructed based on case-based reasoning. Then, the sensitivity index is used to calculate the key features of reagent dosage. The reagent dosage compensation model is constructed based on the variation tendency of the key features in the roughing and scavenging process. At last, the prediction model is used to finish the classification and discriminant analysis. The simulation results and industrial experiment in antimony flotation process show that the proposed method reduces fluctuation of the tailings indicators and the cost of reagent dosage. It can lay a foundation for optimizing the whole process of flotation.%在浮选过程中不同工序药剂的调节对最终生产指标均有不同程度的影响,且难以使用数学模型对此进行有效描述,为此提出一种基于关键特征变化趋势和案例推理的药剂量协调优化方法.在分析锑浮选过程中药剂量专家调节方式的基础上,构建基于案例推理的粗选–扫选工序药剂量预设定模型;采用敏感性指数计算粗选、扫选工序对药剂量变化敏感的关键特征,提出基于关键特征变化趋势的粗选工序药剂量修正规则库;同时,利用粗选关键特征变化趋势预测获取扫选工序关键特征变化趋势,建立扫选工序的药剂修正规则库进行提前补偿;最后,采用预估模型进行指标的分类判断,实现不同工序的药剂修正.某锑浮选过程工业数据的验证说明所提方法的有效性,能有效稳定锑浮选的精矿品位和尾矿品位.