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综采工作面采煤机智能化技术研究现状

赵亦辉 赵友军 周展

赵亦辉, 赵友军, 周展. 综采工作面采煤机智能化技术研究现状[J]. 工矿自动化, 2022, 48(2): 11-18,28. doi: 10.13272/j.issn.1671-251x.2021090024
引用本文: 赵亦辉, 赵友军, 周展. 综采工作面采煤机智能化技术研究现状[J]. 工矿自动化, 2022, 48(2): 11-18,28. doi: 10.13272/j.issn.1671-251x.2021090024
ZHAO Yihui, ZHAO Youjun, ZHOU Zhan. Research status of intelligent technology of shearer in fully mechanized working face[J]. Industry and Mine Automation, 2022, 48(2): 11-18,28. doi: 10.13272/j.issn.1671-251x.2021090024
Citation: ZHAO Yihui, ZHAO Youjun, ZHOU Zhan. Research status of intelligent technology of shearer in fully mechanized working face[J]. Industry and Mine Automation, 2022, 48(2): 11-18,28. doi: 10.13272/j.issn.1671-251x.2021090024

综采工作面采煤机智能化技术研究现状

doi: 10.13272/j.issn.1671-251x.2021090024
详细信息
    作者简介:

    赵亦辉(1981-),男,山西运城人,高级工程师,硕士,主要从事煤矿装备自动化、智能化方面的研发工作,E-mail:xamjzhaoyihui@163.com。

  • 中图分类号: TD632

Research status of intelligent technology of shearer in fully mechanized working face

  • 摘要: 介绍了国内外采煤机智能化技术研究现状:国外从20世纪90年代起,采煤机智能化技术进入成熟发展阶段,在采煤机记忆截割、煤岩识别、机载主控软件及远程监控等方面取得引领性创新突破;国内采煤机智能化发展从引进吸收到自主创新,基本实现初级智能化综采作业。按照采煤机功能的不同进行智能化横向分类,分为采煤机智能感知、智能控制、智能诊断及智能通信4类:智能感知关键技术包括位姿感知、运行环境状态感知、机载视频感知、人员临近识别、智能防碰撞检测、直线度感知、煤岩识别感知;智能控制关键技术包括滚筒自动调高控制、自适应调速控制、环境瓦斯联动控制、煤流负载平衡控制、俯仰导向控制;智能诊断关键技术包括实时在线诊断技术和采煤机全生命周期管理;智能通信关键技术包括有线通信技术和无线通信技术。根据采煤机割煤过程中的人为干预情况进行智能化纵向分级,分为辅助自动化、初级自动化、高级自动化、智能化4个等级。通过采煤机智能化分类分级,可以直观地查阅采煤机智能化功能,并可通过判断条件确定采煤机所处智能化等级,为智能化矿井建设评级提供量化参考,同时也更清晰地展现采煤机智能化发展的脉络。

     

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出版历程
  • 收稿日期:  2021-09-07
  • 修回日期:  2022-02-11
  • 网络出版日期:  2022-03-01

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