Development of rapid and automated remote sensing methods for ground engagement equipment enabling selective mining

开发用于地面接触设备的快速自动化遥感方法，以实现选择性采矿

基本信息

批准号：
561062-2020
负责人：
Esmaeili, Kamran
金额：
$ 6.74万
依托单位：
University of Toronto
依托单位国家：
加拿大
项目类别：
Alliance Grants
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=721860
关键词：
Development rapid automated remote sensing

项目摘要

The mining industry is responding to many challenges (e.g., complex and lower grade ore deposits, tighter environmental regulations) by adopting advanced technologies and increasingly automating mining operations. The operating costs of a mining project can be significantly reduced through the combined implementation of a high-resolution multi-sensor data acquisition system, along with an automated, data-processing system that incorporates analytics-based decision-making solutions. However, the adoption of selective mining systems (enabling cost-effective and sustainable mining operations) has been hampered by limitations in data acquisition and measurement capabilities, with an impact in the robustness of analytics solutions.The main goal of this proposal is to enable selective mining by developing analytics-based decision-makingsolutions based on real-time data acquisition. This will include the acquisition and analysis of high-resolutionhyperspectral and LiDAR data, obtained through ground engagement equipment in an active mine face. The information will be used for characterization of ore hardness; rock fragmentation analysis and discrimination of ore from waste rock. The results of the research will be applicable to a large number of mining operations in Canada and across the world. The project will be conducted in lab scale first, followed by field experiments (in cooperation with industry partner), producing prototype implementations of the analytical solutions, and including extensive testing and validation using real datasets.

采矿业通过采用先进的技术和越来越多的自动化采矿业务来应对许多挑战（例如，复杂和低级矿床，更严格的环境法规）。通过共同实施高分辨率的多传感器数据采集系统，以及一个自动化的数据处理系统，该系统可以大大降低采矿项目的运营成本，该系统结合了基于分析的决策解决方案。但是，通过数据获取和测量能力的限制，采用选择性采矿系统（使成本效益和可持续的采矿业务）受到了阻碍，这对分析解决方案的鲁棒性产生了影响。通过基于实时数据获取的基于分析的决策策略来开采采矿。这将包括通过主动矿井中的地面订婚设备获得的高分辨率光术和激光元数据的获取和分析。该信息将用于表征矿石硬度；岩石碎片分析和从废岩中辨别矿石。该研究的结果将适用于加拿大和世界各地的大量采矿业务。该项目将首先以实验室规模进行，然后进行现场实验（与行业合作伙伴合作），生成分析解决方案的原型实现，包括使用真实数据集进行广泛的测试和验证。