Using AI to automatically generate mining algorithms

在加拿大北部用硬岩开采铀矿具有挑战性，而且往往很困难。在高品位铀矿体中开采时，运营风险敞口会增加，这些矿体可能会受到矿井上方水淹的影响。为了在这种环境中取得成功，Cameco成功地实现了作业的机械化，并依赖于喷射钻削技术。这个拟议的项目计划通过以下方式推进喷射钻削的可见性和自动化系统：1)创建通过持续测量过程创建的大量数据；2)收集、分析和综合这些数据以形成结论；以及3)确认使用这些结论来通知、控制和指导机械化喷射钻削系统的操作决策和自动化的有效性。在这个早期阶段，概念验证层面的工作将确定进一步的机会，这些机会可以指出或建议在采矿领域进一步实现自动化和优化的路线图。

Hard-rock mining of uranium in Canada's north is challenging and often difficult. Operating risk exposures are heightened when mining in high-grade uranium ore bodies that are exposed to possible flooding from water above the mine. To succeed in this environment Cameco has successfully mechanized their operations and relies on Jet Boring technology. This proposed project is planned to advance the visibility and automation systems for Jet Boring by: 1) creating large volumes of data created by ongoing measurement of the process; 2) collecting, analyzing, and synthesizing that data in order to form conclusions; and 3) confirming the effectiveness of using those conclusions to inform, control and direct operational decisions and automation of the mechanized Jet Boring systems. At this early stage, proof of concept level work will identify further opportunities that can point to or suggest a roadmap for further automation and optimization possibilities within mining.