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
基本信息
- 批准号:508741-2017
- 负责人:
- 金额:$ 4.45万
- 依托单位:
- 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:
- 关键词:
项目摘要
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,采矿和矿产部门的技术发展取得了巨大进步。这些技术进步已被采矿业接受,以便更有效地管理矿产资源。然而,鉴于采矿业面临的新挑战,包括:动荡的市场状况、复杂和较低品位的矿藏、更严格的环境法规等,这些改进不足以确保行业的长期可持续增长和生产率。矿产资源管理中通常采用的不连续、间歇性的采矿过程监测方法,以及基于部分信息和缺失事实的决策,将不再适合于应对复杂的采矿挑战。需要为高分辨率挖掘数据的实时采集开发创新的解决方案,以便做出有效的决策,以最大限度地提高挖掘过程的效率和盈利能力。*本提案的主要目标是开发用于实时、按需、高分辨率挖掘数据采集和决策的无人机解决方案。这将包括监测钻探和爆破做法,以进行实时岩石破碎分析,监测和评估爆破后淤泥桩中的矿石稀释情况,以及检查和监测地面挖掘和土方工程。本研究将无人机和传感技术相结合,将使连续采矿过程控制和优化成为可能。这项研究将在El Gallo 1露天矿进行,该露天矿由加拿大矿业公司麦克尤恩矿业公司运营,在世界各地有几个金银开采业务。*针对实时采矿数据采集和决策的创新解决方案的开发将使多伦多大学(UofT)能够在采矿过程监控和优化领域取得重要的科学进步。它还使McEwen矿业公司能够在其当前的采矿作业中充分整合这些先进技术,以显著提高作业效率。*
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Esmaeili, Kamran其他文献
A deep learning approach for rock fragmentation analysis
- DOI:
10.1016/j.ijrmms.2021.104839 - 发表时间:
2021-06-25 - 期刊:
- 影响因子:7.2
- 作者:
Bamford, Thomas;Esmaeili, Kamran;Schoellig, Angela P. - 通讯作者:
Schoellig, Angela P.
Continuous Monitoring and Improvement of the Blasting Process in Open Pit Mines Using Unmanned Aerial Vehicle Techniques
- DOI:
10.3390/rs12172801 - 发表时间:
2020-09-01 - 期刊:
- 影响因子:5
- 作者:
Bamford, Thomas;Medinac, Filip;Esmaeili, Kamran - 通讯作者:
Esmaeili, Kamran
Discontinuous Modeling of Roof Strata Caving in a Mechanized Longwall Mine in Tabas Coal Mine
- DOI:
10.1061/(asce)gm.1943-5622.0002337 - 发表时间:
2022-05-01 - 期刊:
- 影响因子:3.7
- 作者:
Arasteh, Hossein;Esmaeili, Kamran;Farsangi, Mohammad Ali Ebrahimi - 通讯作者:
Farsangi, Mohammad Ali Ebrahimi
An analytical solution for analysis of toppling-slumping failure in rock slopes
- DOI:
10.1016/j.enggeo.2019.105396 - 发表时间:
2020-02-01 - 期刊:
- 影响因子:7.4
- 作者:
Haghgouei, Hadi;Kargar, Ali Reza;Esmaeili, Kamran - 通讯作者:
Esmaeili, Kamran
Esmaeili, Kamran的其他文献
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{{ truncateString('Esmaeili, Kamran', 18)}}的其他基金
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
- 批准号:
RGPIN-2020-06196 - 财政年份:2022
- 资助金额:
$ 4.45万 - 项目类别:
Discovery Grants Program - Individual
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
- 批准号:
RGPIN-2020-06196 - 财政年份:2021
- 资助金额:
$ 4.45万 - 项目类别:
Discovery Grants Program - Individual
Automated Geological and Structural Mapping of Open Pit Mines using Unmanned Aerial Vehicle (UAV) Systems and Machine Learning
使用无人机 (UAV) 系统和机器学习自动绘制露天矿地质和结构测绘
- 批准号:
561041-2020 - 财政年份:2021
- 资助金额:
$ 4.45万 - 项目类别:
Alliance Grants
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
- 批准号:
561062-2020 - 财政年份:2021
- 资助金额:
$ 4.45万 - 项目类别:
Alliance Grants
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
- 批准号:
RGPIN-2020-06196 - 财政年份:2020
- 资助金额:
$ 4.45万 - 项目类别:
Discovery Grants Program - Individual
A Spatial Numerical Approach for Heterogeneous Slope Stability Analysis in Open Pit Mines
露天矿非均质边坡稳定性分析的空间数值方法
- 批准号:
RGPIN-2014-03992 - 财政年份:2019
- 资助金额:
$ 4.45万 - 项目类别:
Discovery Grants Program - Individual
A Spatial Numerical Approach for Heterogeneous Slope Stability Analysis in Open Pit Mines
露天矿非均质边坡稳定性分析的空间数值方法
- 批准号:
RGPIN-2014-03992 - 财政年份:2018
- 资助金额:
$ 4.45万 - 项目类别:
Discovery Grants Program - Individual
Characterizing the effect of micro and macro heterogeneity of rock on its comminution behaviour
表征岩石微观和宏观非均质性对其破碎行为的影响
- 批准号:
500310-2016 - 财政年份:2017
- 资助金额:
$ 4.45万 - 项目类别:
Collaborative Research and Development Grants
Improving blast-induced rock fragmentation in Milton Quarry
改善米尔顿采石场爆炸引起的岩石破碎
- 批准号:
514506-2017 - 财政年份:2017
- 资助金额:
$ 4.45万 - 项目类别:
Engage Grants Program
A Spatial Numerical Approach for Heterogeneous Slope Stability Analysis in Open Pit Mines
露天矿非均质边坡稳定性分析的空间数值方法
- 批准号:
RGPIN-2014-03992 - 财政年份:2017
- 资助金额:
$ 4.45万 - 项目类别:
Discovery Grants Program - Individual
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