• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
中国煤炭开采技术及装备50年发展与创新实践——纪念《煤炭科学技术》创刊50周年
  • Title

    Development and innovation practice of China coal mining technology and equipment for 50 years: Commemorate the 50th anniversary of the publication of Coal Science and Technology

  • 作者

    王国法杜毅博徐亚军任怀伟张德生庞义辉

  • Author

    WANG Guofa, DU Yibo, XU Yajun, REN Huaiwei, ZHANG Desheng, PANG Yihui

  • 单位

    中国煤炭科工集团有限公司中煤科工开采研究研究有限公司煤炭科学研究总院开采研究分院

  • Organization
    China Coal Technology & Engineering Group Co., Ltd.
    CCTEG Coal Mining Research Institute
    Coal Mining Branch, China Coal Research Institute
  • 摘要

    回顾《煤炭科学技术》杂志推动和见证中国煤炭开采技术及装备50年发展与创新实践的发展概况,阐述从煤矿机械化到煤矿智能化的创新历程并重点分析采煤机装备技术研发支撑煤炭开发工艺变革,综述煤矿装备智能化迭代发展并提出煤矿装备智能化发展思路。煤炭开采技术历经炮采、普通机械化开采、综合机械化开采、智能化开采4次重大技术变革,实现了煤炭生产力的巨大进步。采煤机装备研发支撑煤炭开发工艺变革,液压支架支护理论、设计方法、支架架型结构和制造技术的创新支撑实现我国液压支架产品由低端到高端的突破;采煤机制造工艺、机型适应性和监控系统等短板技术攻坚取得重大进展,采高0.8~9.0 m全系列采煤机满足我国煤矿高效生产要求,智能化水平不断提升;大运量长运距工作面刮板输送机关键技术不断突破,450 m超长工作面大运量刮板输送机可靠运行,智能变频一体机传动代替传统CST等传动,节能近30%;大运量带式输送机永磁直驱、芳纶带和无基础带式输送机结构等技术创新具有节能、可靠和智能的显著优势;电液控制和无人化智能开采控制技术快速发展,国产化SAC型液压支架电液控制系统、SAM型工作面自动化系统和SAP型智能供液系统广泛应用;“掘锚一体机+锚运破+大跨距转载”掘锚一体机系统、悬臂式掘锚护一体机+临时支护系统和TBM全断面硬岩掘进系统,解决了采掘失衡难题;智能变频节能传动支撑矿山节能,采煤机装备全面国产化创新与智能制造能力快速提升,研发的30多种煤矿机器人在陕煤柠条塔煤矿集群应用,取得良好效果。煤矿智能化技术快速迭代发展,分析了煤矿数据流分类与关联,提出了煤矿智能化总体技术架构与“分级抽取-关联分析-虚实映射”的数据处理基础理论,综述了煤矿智能化系统耦合与迭代开发进展以及煤矿智能化技术标准体系建设进展,提出包括构建以“煤智云”为基础的数据价值生态,推进复杂条件智能开采工艺与装备及煤矿机器人集群研发,建设系统智能与人文智慧融合的煤矿智慧生态的煤矿智能化发展思路,为企业高质量发展指明了技术方向。

  • Abstract

    The paper reviewed the development of Coal Science and Technology in the past 50 years which promoted and witnessed the progress and innovation practice of the coal mining technology and equipment in China. Furthermore, the innovation process from coal mine mechanization to coal mine intelligence was expounded and the research and development of coal machine equipment technology which supports the reform of coal development process was analyzed emphatically. Finally, the paper summarized the iterative development of smart coal mine and put forward some ideas for future development trends. Coal mining technology has experienced four major technological changes from blasting mining, ordinary mechanized mining, comprehensive mechanized mining, intelligent mining, through continuous independent research and development and innovation, to achieve great progress in coal productivity. Research and development of coal machinery equipment supports the reform of coal development technology. Hydraulic support is the core of fully mechanized mining. The innovation of supporting theory, design method, frame structure and manufacturing technology supported the breakthrough of hydraulic support products from low-end to high-end. Significant progress has been made in the short board technology for coal mining machines such as manufacturing process, model adaptability, monitoring system and so on. The full series of coal mining machines from 0.8 to 9 m could meet the requirements of efficient production of Chinese coal mines, and the intelligent level was constantly improving. The key technologies of large volume and long distance working face scraper conveyor were constantly broken through. The 450 m ultralong working face scraper conveyor with large volume runs reliably. The intelligent frequency conversion integrated machine drives instead of traditional CST and other drives, saving energy by nearly 30%. Innovations such as permanent magnet direct drive, arylon belt, and belt conveyor without foundation for large volume belt conveyor showed significant advantages in energy saving, reliability, and intelligence. Electro-hydraulic control and unmanned intelligent mining control technology develop rapidly, and the domestic SAC hydraulic support electro-hydraulic control system, SAM face automation system and SAP intelligent liquid supply system were widely used. To solve the problem of mining imbalance, it had developed the “driving and anchor machine + anchoring and breaking + large-span reloading” intellectualized driving and anchor machine, boom-type roadheader + temporary support system and TBM full face hard rock tunneling system. Intelligent frequency conversion energy-saving transmission supports energy saving in mines, comprehensive domestic innovation of coal machinery equipment and rapid improvement of intelligent manufacturing capacity. More than 30 kinds of coal mine robots had been developed and applied in NingTiaoTa coal mine of Shaanxi coal, achieving good results. The intelligent technology of coal mine developed rapidly and iteratively. This paper analyzed the classification and correlation of coal mine data flow, proposed the overall technical framework of smart coal mine and the basic data processing theory of “hierarchical extraction- association analysis-virtual-real mapping”, summarized the coupling and iterative development progress of smart coal mine system and the construction progress of smart coal mine technical standard system, and finally puts forward the development idea of intelligent coal mine. It is necessary to build a data value ecology based on “coal intelligence cloud”, push forward the research and development of intelligent mining technology and equipment under complex conditions and coal mine robot cluster. Furth more a coal mine intelligence ecology that integrates system intelligence and human wisdom should be built, which could boost the high-quality development of enterprises.


  • 关键词

    中国煤炭综合机械化煤矿智能化液压支架综采装备智能开采控制技术

  • KeyWords

    China coal; comprehensive mechanization; intellectualization of coal mine; hydraulic support; fully-mechanized equipment; intelligent production control technology

  • 基金项目(Foundation)
    国家自然科学基金重点资助项目(51834006);
  • DOI
  • 引用格式
    王国法,杜毅博,徐亚军,任怀伟,张德生,庞义辉.中国煤炭开采技术及装备50年发展与创新实践——纪念《煤炭科学技术》创刊50周年[J].煤炭科学技术,2023,51(01):1-18.DOI:10.13199/j.cnki.cst.2022-1801.
  • Citation
    WANG Guofa,DU Yibo,XU Yajun,et al. Development and innovation practice of China coal mining technology and equipment for 50 years: Commemorate the 50th anniversary of the publication of Coal Science and Technology[J]. Coal Science and Technology,2023,51(1):1−18
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