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: Queen's University
• 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
• 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=658839
• 关键词: Design; requirements; operational; concepts; robotic

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.

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，处于最前沿的是机器人和自动化技术的设计和应用，这些技术通过使用自主或半自主行动的机器人（例如，通过远程 ** 或监督控制）。该提案是关于着手逐步实现螺栓连接过程自动化的任务，传统上，螺栓连接过程是通过使用螺栓连接机器来完成的，这些机器需要在危险条件下进行大量和直接的人工参与。这个简短的项目将集中于指定自动螺栓连接的设计要求和操作概念，这将通过基于计算机的模拟来研究。通过与行业合作伙伴麦克莱恩工程公司（MacLean Engineering）的合作，我们将设计一款带有必要传感器和执行器的锚杆钻机 **，以便将机器的动臂自动定位在起始位置 **，并根据感应到的隧道轮廓 ** 促进未来的（半）自动定位和钻孔工作。该项目将利用麦克莱恩工程公司 ** 的工业/制造经验和皇后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。