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Design requirements and operational concepts for a robotic underground scissor bolter

Design requirements and operational concepts for a robotic underground scissor bolter
机器人地下剪式锚杆机的设计要求和操作概念
批准号:
523529-2018
负责人:
Marshall, Joshua
金额:
$1.8万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

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中文摘要
翻译
为了提高地下采矿作业的生产率和安全性,矿产资源公司**一直在重新努力推进和应用新技术。近年来,机器人和自动化技术的设计和应用一直处于最前沿,这些技术通过使用自主或半自动(例如,通过远程或监督控制)的机器人,将人类从恶劣和危险的环境中移除。该提案旨在逐步实现螺栓连接过程的自动化,传统上,螺栓连接是通过螺栓连接机器完成的,而这些机器需要在危险的条件下直接参与。这个简短的项目将侧重于指定设计要求和自动化螺栓的操作概念,这将通过开发基于计算机的模拟来研究。通过与行业合作伙伴MacLean Engineering的合作,我们将设计一种螺栓螺栓,配备必要的传感器和执行器,以便自动将机器的臂架定位在开始位置,并根据感测的隧道轮廓,为未来的(半)自动定位和钻井工作提供便利。该项目将综合利用麦克莱恩工程公司**的工业/制造经验,以及女王大学采矿系统实验室在采矿机器人和自动化领域的技术专长。
英文摘要
In order to improve the productivity and safety of underground mining operations, mineral resource companies**have been making renewed efforts to advance and apply new technologies. At the forefront in recent years has**been the design and application of robotics and automation technologies that remove humans from harsh and**dangerous environments by using robots that either act autonomously or semi-autonomously (e.g., via remote**or supervisory control). This proposal is about embarking on the task of incrementally automating the bolting**process, which is traditionally done by using bolting machines that require significant and direct human**involvement in dangerous conditions. This short project will focus specifying the design requirements and an**operational concept for automated bolting, which will be studied through the development of a computer-based**simulation. In collaboration with industry partner MacLean Engineering, we will design for fitting a bolter**with the necessary sensors and actuators in order to automatically position the machine's boom at a start**position, and facilitate future work in (semi-) automatically positioning and drilling based on a sensed tunnel**profile. This project will leverage the combined industrial/manufacturing experience of MacLean Engineering**and the technical expertise of the Mining Systems Laboratory at Queen's University in the areas of mining**robotics and automation.
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Multi-Robot Tools and Techniques for Exploration and Mobile Surveying
  • 批准号:
    RGPIN-2015-04025
  • 项目类别:
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  • 资助金额:
    $1.82万
  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
Multi-Robot Tools and Techniques for Exploration and Mobile Surveying
  • 批准号:
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  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 批准号:
    533392-2018
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2021
  • 负责人:
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  • 依托单位:
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  • 批准号:
    533392-2018
  • 项目类别:
    Department of National Defence / NSERC Research Partnership
  • 资助金额:
    $10.93万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
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