Design optimization of access roads and networks in hard-rock underground mines

硬岩地下矿山进场道路和网络的设计优化

• 批准号: 533528-2018
• 负责人: Kumral, Mustafa
• 金额: $ 2.48万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=685214
• 关键词: Design; optimization; access; roads; networks

The mineral industry is a significant part of the Canadian economy and contributes to the wealth and prosperity of Canadians. Underground mining operations have important challenges. The commodity prices have been quite low for the last five year. Operating costs continuously grow due to high energy costs and increasing depth. To remain business, underground mining operations need to find new ways of doing such that productivity and efficiency of the operations will be enhanced. New optimization tools and technologies present great potential to manage "new ways of doing". This research proposal aims to develop an optimization tool for access road network used for material handling and ventilation in underground mining. The research will start to explore a decision support tool for selection of central access as shaft or adit, and its dimensioning. This selection will reduce the size of the problem. Then, using emerging approaches in the Steiner tree and Dubins planning path algorithms, the network optimization will be fulfilled. The problem will be formulated as the minimization of haulage costs under constraints of minimum turning radius, maximum gradient, stability requirements, and production capacities. In the second stage of the research, the focus will be the integration of network optimization with the previously solved stope layout and sequencing optimizations such that a global optimization for underground mine planning is attained. The objective will shift from cost minimization to maximization of net present value. For this reason, a framework based on a divide and conquer approach will be constructed, and the framework will be solved by parallel simulated annealing. The main idea behind this solution approach is to parallelize three sub-problems of underground mine planning in such a way as to reach the optimality in a reasonable time. At the end of this research, an optimization tool will be delivered to Canadian mining operations. Also, the research outcomes will assist in diversifying the product portfolio of the mine planning software industry.

矿产工业是加拿大经济的重要组成部分，并为加拿大人的财富和繁荣做出了贡献。地下采矿业务面临重要挑战。过去五年的商品价格一直很低。由于高能源成本和深度增加，运营成本不断增长。为了保持业务，地下采矿业务需要找到新的方法，以便将提高业务的生产力和效率。新的优化工具和技术具有管理“新方法”的巨大潜力。该研究建议旨在为地下采矿中的材料处理和通风开发一种优化工具。该研究将开始探索一个决策支持工具，以选择中央访问作为轴或ADIT及其尺寸。此选择将减少问题的大小。然后，使用Steiner树和Dubins计划路径算法中的新兴方法，将实现网络优化。该问题将被提出，因为在最小转弯半径，最大梯度，稳定性要求和生产能力的限制下，运输成本的最小化。在研究的第二阶段，重点将是将网络优化与先前解决的支场布局和测序优化的整合，从而实现了用于地下矿山计划的全球优化。目标将从成本最小化转变为净现值的最大化。因此，将构建基于鸿沟和征服方法的框架，并通过平行模拟退火来解决该框架。这种解决方案方法背后的主要思想是平行于地下矿山计划的三个子问题，以在合理的时间内达到最佳性。在这项研究结束时，将向加拿大采矿业提供了优化工具。此外，研究成果将有助于多元化矿山计划软件行业的产品组合。