Maximizing mine-mill reconciliation through a new cut-off grade and capacity setting model

ThreeDify是一家加拿大采矿设计和规划软件公司。目前矿业软件行业竞争激烈**。ThreeDify的目标是通过增加新功能来使其产品组合多样化。作为这一目标的一部分，ThreeDify倾向于与麦吉尔团队合作开发新的截止品位和产能设置模块。**截止品位理论目前是建立在贵重金属的基础上的。然而，岩石中不需要的矿物**对加工回收率和吞吐量有显著影响。生产**块采用截止品位时，加工头品位不能保证满足品位要求。拟议的研究**将设法把不需要的矿物的影响纳入截止理论，以便为采矿项目增加新的**价值。此外，为了最大限度地减少与闲置产能相关的成本，将调查截止等级与产能安装之间的关系。**本研究将在考虑块访问约束的情况下寻找一种空间聚合技术。在这个过程中，有价值和不需要的矿物的品位要求将被设定在损失函数的中心。本文还将探讨一种适合选矿设计等级公差的损失函数。截断等级问题将被表述为一个优化问题。目标函数将表示为通过选择的损失函数使与要求等级的偏差最小化。由于区块**等级是用稀疏数据估计/模拟的，因此等级存在不确定性。矿体的多幅图像将被用来量化这种不确定性带来的风险。将优化方法扩展到** *，综合问题的概率性来寻找一个鲁棒解。这项研究的关键结果将是在采矿项目的可行性研究中找到满足装机容量与矿体非均质性相一致的截止品位。该模型具有强大的潜力，可以产生一种新的软件产品，从而最大限度地实现矿厂协调。因此，提高了采矿作业的效率。

ThreeDify is a Canadian mining design and planning software company. There is currently fierce competition**in the mining software industry. ThreeDify aims to diversify its product portfolio by adding new features. As a**part of this aim, ThreeDify inclines to collaborate McGill team to develop a new cut-off grade and capacity**setting module.**The cut-off grade theory is currently built on the valuable metals. However, unwanted minerals within the rock**have a significant effect on processing recovery and throughput. When a cut-off grade is applied to production**blocks, the head grade of processing cannot guarantee to satisfy the grade requirements. The proposed research**will address to incorporate the effects of unwanted minerals into the cut-off theory in such a way as to add new**value to a mining project. Also, to minimize the cost associated with idle capacities, the relationship between**cut-off grade and capacity installation will be investigated.**The research will search a spatial aggregation technique in a way access constraint of blocks are considered. In**this process, grade requirements of valuable and unwanted minerals will be set at the center of loss function to**be used. A loss function fitting grade tolerances of mineral processing design will also be explored. The cut-off**grade problem will be formulated as an optimization problem. The objective function will be expressed as the**minimization of deviations from the required grades through the selected loss function. Given that the block**grades are estimated/simulated by sparse data, there is uncertainty in grades. Multiple images of orebody will**be used to quantify risks emerging from this uncertainty. The optimization approach will be extended to**integrate probabilistic nature of the problem to find a robust solution. The critical outcome of this research will**be to find a cut-off grade meeting installed capacities coinciding with orebody heterogeneity in feasibility**studies of a mining project. This model has a strong potential to produce a new software product such that mine**- mill reconciliation is maximized. Thus, the efficiency of mining operations is enhanced.