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Research on dosage matching for gold and antimony froth flotation based on rough sets and case-based reasoning

机译:基于粗糙集和案例推理的金锑泡沫浮选剂量匹配研究

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Currently controlling dosage in mineral flotation process is based on the subject experiences of operators, which are influenced by different operating technique. According to different shifts, process performance of forth flotation is different so that the flotation process is often running in unstable states. Lots of production data of gold and antimony forth flotation process have been acquired, which can be used to build case rules of adding dosage for the process, build the flotation process of flotation reagents adding quantity is putted forward based on a large amount of data acquried by flotation process, combining with the characteristics of rough set to dealing uncertain knowledge, the introduction of the Cauchy inequality. A new method of flotation dose matching is proposed based on rough sets and case-based reasoning., realized the control of reagent adding in floatation process. This method has been applied in a real industrial site. The application results show that the proposed method can effectively reduce the contents of tailings and improve the recovery rate.
机译:当前在矿物浮选过程中控制剂量是基于操作者的经验,受不同操作技术的影响。根据不同的变化,第四次浮选的过程性能也不同,因此浮选过程通常在不稳定状态下运行。获得了大量的金,锑浮选工艺生产数据,可用于建立工艺过程中添加剂量的案例规则,并根据大量的数据提出了浮选试剂添加量的浮选过程。通过浮选过程,结合粗糙集的特征来处理不确定的知识,引入柯西不等式。提出了一种基于粗糙集和案例推理的浮选剂量匹配新方法,实现了浮选过程中试剂添加的控制。此方法已在实际的工业现场中应用。应用结果表明,该方法可有效减少尾矿含量,提高回收率。

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