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，矿业软件行业的竞争非常激烈。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边际品位和产能**设定模块。**边际品位理论目前建立在有价值的金属之上。然而，岩石中不需要的矿物**对加工回收率和产量有很大影响。当边际品位应用于生产**区块时，加工的头部品位不能保证满足品位要求。拟议的研究**将致力于将不想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容量相关的成本，还将研究**截止等级与容量安装之间的关系。**研究将以一种考虑区块访问限制的方式来寻找空间聚集技术。在这个过程中，有价矿物和无用矿物的品位要求将被设置在损失函数的中心**被使用。还将探索适合选矿设计品位公差的损失函数。下限**等级问题将被描述为优化问题。目标函数将被表示为**通过选定的损失函数使与所需等级的偏差最小化。由于区块**等级是由稀疏数据估计/模拟的，因此等级中存在不确定性。多幅矿体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**集成问题的概率性质，以找到稳健的解。这项研究的关键结果将**是在采矿项目的可行性研究**中找到符合装机容量和矿体非均质性的截止品位。这种模式有很强的潜力来生产一种新的软件产品，从而最大限度地实现我的**磨坊对帐。从而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.