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我国露天矿智能运输技术现状及发展趋势

王忠鑫 辛凤阳 陈洪亮 宋波 田凤亮 曾祥玉 白怡明

王忠鑫,辛凤阳,陈洪亮,等. 我国露天矿智能运输技术现状及发展趋势[J]. 工矿自动化,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921
引用本文: 王忠鑫,辛凤阳,陈洪亮,等. 我国露天矿智能运输技术现状及发展趋势[J]. 工矿自动化,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921
WANG Zhongxin, XIN Fengyang, CHEN Hongliang, et al. Current status and development trend of intelligent transportation technology in China's open-pit mines[J]. Journal of Mine Automation,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921
Citation: WANG Zhongxin, XIN Fengyang, CHEN Hongliang, et al. Current status and development trend of intelligent transportation technology in China's open-pit mines[J]. Journal of Mine Automation,2022,48(6):15-26.  doi: 10.13272/j.issn.1671-251x.17921

我国露天矿智能运输技术现状及发展趋势

doi: 10.13272/j.issn.1671-251x.17921
基金项目: 中国煤炭科工集团有限公司科技创新创业资金专项重点项目(2020-ZD002)。
详细信息
    作者简介:

    王忠鑫(1984—),男,内蒙古赤峰人,教授级高级工程师,博士研究生,主要从事煤炭露天开采理论、核心装备及其智能化技术研究工作,E-mail:wzx_syy@qq.com

    通讯作者:

    辛凤阳(1994—),男,内蒙古赤峰人,蒙古族,助理工程师,硕士,主要从事露天开采理论与优化、智能矿山规划设计、矿山设备数据采集及软件开发等工作,E-mail:1643660267@qq.com

  • 中图分类号: TD824

Current status and development trend of intelligent transportation technology in China's open-pit mines

  • 摘要: 运输环节作为露天矿生产工艺的最重要因素之一,其智能化是矿山整体智能化技术的重要研究内容。介绍了露天矿运输系统的构成及分类;明确了露天矿智能运输系统是以露天矿煤岩高效运输为应用场景,以智能化运输装备为核心载体,将物联网、云计算、大数据、人工智能、移动互联等数字技术与露天矿运输系统运行原理和工艺要求深度融合,建立运输系统内设备、环境、物料的自主协同高效运行体系,进而建立起大范围内发挥作用的实时、准确、高效的运输综合管理系统,其构成要素主要包括基础设施、运输工具和运算技术。指出露天矿传统运输系统与智能运输系统的区别在于智能运输系统以提高现场生产作业安全和效率为目标,服务对象由原来的生产管理人员转变为生产作业人员。从基础设施智能化、装备智能化、管控智能化、维保智能化和设计智能化5个方面,综述了我国露天矿智能运输系统的研究和产品应用现状。分析了露天矿卡车运输系统和带式输送机运输系统实现智能化亟待突破的关键技术:卡车智能运输关键技术包括矿山复杂路况的环境感知技术、无人驾驶卡车线控改造技术、多目标智能调度技术、有人−无人混编设备群智能协同技术;带式输送机智能运输关键技术包括工作面带式输送机自主横移技术、自移式大倾角带式输送机运输技术、带式输送机运行控制技术、带式输送机状态在线检测技术、带式输送机智能巡检技术、带式输送机无人化维护技术、带式输送机运输系统智能管控平台。指出露天矿智能运输发展的趋势为连续化、无人化、低碳化、高效协同和本质安全。

     

  • 图  1  露天矿运输系统构成

    Figure  1.  Composition of transportation system in open-pit mine

    图  2  无人驾驶车辆传感器布设

    Figure  2.  Sensors layout on unmanned driving vehicles

    图  3  露天矿环境感知传感器

    Figure  3.  Environmental perception sensors in open-pit mine

    图  4  NSGA−II算法流程

    Figure  4.  NSGA−II algorithm flow

    图  5  输送带钢丝绳芯X射线在线损伤检测系统组成

    Figure  5.  Composition of on-line damage detection system of steel core belt based on X-ray

    图  6  带式输送机故障信息处理流程

    Figure  6.  Fault information process flow of belt conveyor

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出版历程
  • 收稿日期:  2022-04-08
  • 修回日期:  2022-06-14
  • 网络出版日期:  2022-06-28

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