• 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
千万吨矿井群综放智能化开采设备关键技术
  • Title

    Key technologies of fully- mechanized caving intelligent mining equipment in ten million tons of mines group

  • 作者

    庞义辉刘新华马英

  • Author

    Pang Yihui Liu Xinhua Ma Ying

  • 单位

    天地科技股份有限公司开采设计事业部

  • Organization
    Coal Mining and Designing Department,Tiandi Science & Technology Co.,Ltd.
  • 摘要

    为了提高千万吨矿井群智能化开采水平及综合协调管理水平,以同煤集团千万吨矿井群开采实践为基础,明确了千万吨矿井群的定义,研究了基于电液控制系统的综放工作面记忆割煤、自动跟机移架、智能放煤技术,分析了基于云计算技术的千万吨矿井群综放智能化开采系统,编制了千万吨矿井群装备系列型谱。研究结果表明:采煤机记忆截割、支架自动跟机移架、智能放煤技术是实现综放工作面智能化开采的基础。云计算技术较好地解决了千万吨矿井群综放智能化开采系统存在的数据量大、处理复杂等问题。通过编制千万吨矿井群装备系列型谱,可以实现矿井群之间设备的统一管理与调配,大幅提高了设备的使用效率。

  • Abstract
    In order to improve level of intelligent mining technology and comprehensive coordination management technology in ten million tons of mines group,the def inition of ten million tons of coal mines group was cleared.The technology of coal cutter cutting automatically,.hydraulic support automatically move with coal cutter and top coal caving intelligently were studied based on electrohydraulic control system in Datong Coal Mine Group.The fully-mechanized caving intelligent mining system which wa s based on cloud computing technology was analyzed.The results showed that technology of coal cutter cutting automatically,hydraulic support automatically move with coa I cutter and top coal caving intelligently were foundation to achieve intelligent mining in fully-mechanized top coal caving face. The problems of mass data and handler com plex in fully-mechanized caving itelligent mining system were better solved based on cloud computing technology.The equipment was managed and allocated by equipme nt series spectrum,which improve the efficiency of use of equipment greatly.
  • 关键词

    千万吨矿井群采煤机记忆截割支架自动跟机移架智能放煤装备系列型谱

  • KeyWords

    ten million tons of mines group; coal cutter cutting automatically; hydraulic support automatically move; top coal caving intelligently; equipment series sp ectrum;

  • 基金项目(Foundation)
    国家高技术研究发展计划(863计划)资助项目(2012AA06A407);国家重点基础研究发展计划(973计划)资助项目(2014CB046302);
  • 相关专题
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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

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