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露天矿机器人化采运理论技术框架OA

A Theoretical and Technical Framework for Roboticized Mining and Hauling in Open-pit Mines

中文摘要英文摘要

露天矿机器人化开采面临复杂环境数据不足、极端工况测试难、现场试验风险高、动态感知建模复杂及实验周期长等挑战.为此,提出基于"端边感知、平行控制"的露天矿机器人化采运智慧生产模式,从车辆感控、车铲协同、集群调度与工程示范等多层面入手,系统地突破提效开采机理、高精度全域感知、稳定协同控制与可靠群体管控等核心科学问题.通过技术集成与工艺优化,实现百吨级以上无人驾驶运输车的规模化运行,形成我国露天煤矿高水平智能化的"双十"(10 项创新技术、10 项标准)、"双百"(100 台车示范,运输效率达有人系统 110%)、"双千"(千台车监控平台、千小时无故障运行)中国方案,有力支撑了我国矿山智能化绿色开采发展战略.

Roboticized mining in open-pit mines faces challenges such as insufficient data in complex environments,difficulties in testing under extreme working conditions,high risks in field trials,complexities in dynamic percep-tion and modeling,and lengthy experimental cycles.To address these,a smart production model for robotic mining and hauling in open-pit mines based on"end-edge sensing and parallel control"has been proposed.By focusing on vehicle perception and control,shovel-vehicle collaboration,fleet scheduling,and engineering demonstrations,this model systematically addresses core scientific issues,including the mechanisms for efficient mining,high-precision holistic perception,stable and efficient collaborative control,and reliable group management.Through technologic-al integration and process optimization,the large-scale operation of unmanned haul trucks with capacities exceed-ing 100 tons has been achieved.This forms the"double ten"(10 innovative technologies,10 robotic mining stand-ards),"double hundred"(100-vehicle demonstration,achieving 110%transportation efficiency compared to manned systems),and"double thousand"(monitoring platform for 1 000 vehicles,1 000 hours of mean time between failures)Chinese solution,driving high-level intelligent development in China's open-pit coal mines.It strongly supports the national strategy for intelligent and green mining.

葛世荣;王飞跃;杨健健;黄乾坤;宋瑞琦;陈龙;陈鹏;杨胜利;何适;丁震

中国矿业大学(北京)机械与电气工程学院 北京 100083煤矿智能化与机器人创新应用应急管理部重点实验室 北京 100083中国矿业大学(北京)内蒙古研究院 鄂尔多斯 017010江西理工大学 赣州 341000中国科学院自动化研究所 北京 100190中国矿业大学(北京)机械与电气工程学院 北京 100083煤矿智能化与机器人创新应用应急管理部重点实验室 北京 100083中国矿业大学(北京)内蒙古研究院 鄂尔多斯 017010中国矿业大学(北京)机械与电气工程学院 北京 100083煤矿智能化与机器人创新应用应急管理部重点实验室 北京 100083

机器人化采运端边感知平行控制自主运输高效协同群智调度工程应用

roboticized mining and haulingend-edge sensingparallel controlautonomous transportationefficient collaborationswarm intelligence schedulingengineering applications

《自动化学报》 2026 (1)

148-171,24

国家重点基础研究发展计划(2022YFB4703700)资助 Supported by National Basic Research Program of China(2022YFB4703700)

10.16383/j.aas.c250097

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