Development of unmanned aerial vehicle systems for real-time mining data acquisition and decision making

开发实时采矿数据采集和决策的无人机系统

• 批准号: 508741-2017
• 负责人: Esmaeili, Kamran
• 金额: $ 4.45万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=650301
• 关键词: Development; unmanned; aerial; vehicle; systems

In recent decades, there has been tremendous progress in the development of technology for the mining and minerals sectors. These technology advances have been embraced by the mining industry for more efficient mineral resource management. However, given the new challenges facing the mining industry including: volatile market conditions, complex and lower grade ore deposits, tighter environmental regulations, etc., these improvements are insufficient to ensure long-term sustainable growth and productivity of the industry. Discontinuous and intermittent mining process monitoring approaches as well as decision making based on partial information and missing facts that are usually employed in mineral resource management, will be no longer suitable to address the complex mining challenges. Innovative solutions need to be developed for real-time acquisition of high-resolution mining data in order to make effective decisions to maximize the efficiency and profitability of mining process.****The main goal of this proposal is to develop Unmanned Aerial Vehicle (UAV) solutions for real-time, on-demand, high-resolution mining data acquisition and decision making. This will involve monitoring drilling and blasting practices for real-time rock fragmentation analysis, monitoring and assessing ore dilution in post-blast muck piles and inspection and monitoring of surface excavations and earth works. Combining the UAV and sensing technologies in this study will enable continuous mining process control and optimization. The study will be conducted at the El Gallo 1 open pit mine, which is being operated by McEwen Mining, a Canadian mining company, with several gold and silver mining operations around the world. ****The development of innovative solutions for real-time mining data acquisition and decision making will allow the University of Toronto (UofT) to make essential scientific advances in the area of mining process monitoring and optimization. It also allows McEwen Mining to fully integrate these advanced technologies in its current mining operations to significantly enhance the efficiency of the operations.****

近几十年来，采矿和矿产领域的技术发展取得了巨大进展。这些技术进步已被采矿业所接受，以实现更有效的矿产资源管理。但是，鉴于采矿业面临的新挑战包括：波动的市场状况，复杂和低级的矿床，更严格的环境法规等，这些改进不足以确保该行业的长期可持续增长和生产力。基于部分信息和通常在矿产资源管理中使用的部分信息和缺失的事实的不连续和间歇性采矿过程监测方法以及决策将不再适合应对复杂的采矿挑战。需要开发创新的解决方案，以实时获取高分辨率采矿数据，以便做出有效的决策以最大化采矿过程的效率和盈利能力。****该提案的主要目标是开发无人机（无人机）实时，按需，高分辨率采矿数据采集和决策的解决方案。这将涉及监测钻孔和爆破实践，以实时岩石碎片分析，监测和评估爆破后粘液桩中的矿石稀释以及检查和监测地面发掘和地球的作品。在这项研究中，将无人机和传感技术结合起来将实现连续的采矿过程控制和优化。这项研究将在加拿大矿业公司McEwen Mining经营的El Gallo 1 Open Pit矿山上进行，世界各地有几项黄金和白银矿业业务。 ****开发用于实时采矿数据获取和决策的创新解决方案将使多伦多大学（UOFT）在采矿过程监测和优化领域取得基本的科学进步。它还允许McEwen采矿将这些高级技术完全整合到当前的采矿业务中，以显着提高运营的效率。****