Using AI to automatically generate mining algorithms

利用AI自动生成挖矿算法

• 批准号: 544678-2019
• 负责人: Rogers, Kevin
• 金额: $ 10.93万
• 依托单位: Saskatchewan Polytechnic
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 3
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=721003
• 关键词: Using; AI; automatically; generate; mining

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.

加拿大北部的硬岩铀矿开采具有挑战性，而且往往很困难。当开采高品位铀矿体时，由于其上方可能会被水淹没，因此经营风险会增加。为了在这种环境中取得成功，Cameco成功地实现了机械化操作，并依赖于Jet Boring技术。该拟议项目计划通过以下方式推进Jet Boring的可见性和自动化系统：1）通过对过程的持续测量创建大量数据; 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Jet Boring系统的操作决策和自动化的有效性。在这个早期阶段，概念验证工作将确定更多的机会，这些机会可以指向或建议采矿中进一步自动化和优化可能性的路线图。