Mineral processing plant performance depends on multiple factors, including the feed and the parameters to control the process. In this work, we show how to assess plant performance using geometallurgical modeling and dynamic simulation. Several models that describe comminution, classification, flotation, and residence time distribution (RTD) are implemented as modules and then connected to represent generic plant configurations. The estimation of the RTD is used to assess the ore blending generated within the plant through a methodology based on weighting the ore contribution at the plant discharge. Additionally, the RTD is used to display the ore permanence at different plant stages, which can be used as an operational input to anticipate the consequences of a perturbation in the feed. Different simulation scenarios are tested using synthetic data, including different plant configurations, time support for blending assessment, and ore feeding sequence. The results show that the simulation is sensitive to these attributes. Significant differences are detected in the generated product compositions when the plant configuration is changed. Also, distinct mine plans can be evaluated through simulation, predicting their processing performance. Therefore, the simulation tool developed can be used to evaluate real mineral processing operations and to test different operative strategies.

矿物加工厂的性能取决于多种因素，包括进料和控制过程的参数。在这项工作中，我们展示了如何使用地质冶金建模和动态模拟来评估工厂性能。描述粉碎、分类、浮选和停留时间分布 (RTD) 的几个模型被实现为模块，然后连接以表示通用工厂配置。RTD 的估计用于通过基于加权工厂排放的矿石贡献的方法来评估工厂内产生的矿石混合。此外，RTD 用于显示不同工厂阶段的矿石持久性，可用作操作输入以预测进料扰动的后果。使用合成数据测试不同的模拟场景，包括不同的工厂配置、混合评估的时间支持和给矿顺序。结果表明，模拟对这些属性很敏感。当工厂配置发生变化时，在生成的产品成分中检测到显着差异。此外，可以通过模拟评估不同的矿山计划，预测其处理性能。因此，开发的模拟工具可用于评估真实的矿物加工操作并测试不同的操作策略。当工厂配置发生变化时，在生成的产品成分中检测到显着差异。此外，可以通过模拟评估不同的矿山计划，预测其处理性能。因此，开发的模拟工具可用于评估真实的矿物加工操作并测试不同的操作策略。当工厂配置发生变化时，在生成的产品成分中检测到显着差异。此外，可以通过模拟评估不同的矿山计划，预测其处理性能。因此，开发的模拟工具可用于评估真实的矿物加工操作并测试不同的操作策略。