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Adapting a Phenomenological Model of a Rougher Flotation Circuit to Industrial Historical Operating Data Base

机译:使粗浮选电路的现象学模型适应工业历史操作数据库

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The use of simulators is a powerful tool to train plant operators and to be also incorporated in the development and test of supervisory control strategies. However, the phenomenological models describing the process are relatively complex, characterized by nonlinear relationships and whose parameters are depending on many local factors, such as, the plant configuration, the individual characteristics of the equipment, the availability of on-line measurements and the characteristics of the feed, among others.In this work, the previously developed phenomenological model is adapted to the particular characteristics of the rougher circuit of an industrial flotation plant, considering its particular layout and the available information to feed the simulator. The rougher circuit consists of three lines of 8 mechanical cells processing a feed of 4000 tons/h.The new model predictions were tested for a family of feed characteristics, including variation of mineralogical species under different operating conditions. Since some variables are commonly unmeasured during the operation, additional data were incorporated to improve the model predictability. The use of the simulator is illustrated in several examples, as well a discussion of the model prediction limitations due to some particularities found in the historical operating data.
机译:模拟器的使用是培训工厂操作员的强大工具,并且也将被纳入监督控制策略的开发和测试中。但是,描述过程的现象学模型相对复杂,具有非线性关系,其参数取决于许多局部因素,例如工厂配置,设备的个别特性,在线测量的可用性和特性。在这项工作中,考虑到它的特殊布局和可提供给模拟器的信息,先前开发的现象学模型适用于工业浮选厂粗循环的特殊特征。较粗的电路由3条线组成,每条线由8个机械单元组成,处理4000吨/小时的进料。新的模型预测针对一系列进料特性进行了测试,包括在不同操作条件下的矿物种类变化。由于在操作过程中通常无法测量某些变量,因此合并了其他数据以提高模型的可预测性。在几个示例中说明了模拟器的使用,并讨论了由于历史操作数据中发现的某些特殊性而导致的模型预测限制。

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