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唐恩贤, 张玉良, 马骋. 煤矿智能化开采技术研究现状及发展展望[J]. 煤炭科学技术, 2019, (10).
引用本文: 唐恩贤, 张玉良, 马骋. 煤矿智能化开采技术研究现状及发展展望[J]. 煤炭科学技术, 2019, (10).
TANG Enxian ZHANG Yuliang MA Cheng, . Research status and development prospect of intelligent mining technology in coal mine[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (10).
Citation: TANG Enxian ZHANG Yuliang MA Cheng, . Research status and development prospect of intelligent mining technology in coal mine[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (10).

煤矿智能化开采技术研究现状及发展展望

Research status and development prospect of intelligent mining technology in coal mine

  • 摘要: 通过分析煤矿智能化开采技术研究现状,指出目前我国煤矿智能化开采技术研究大多处于初级阶段,主要以“可视化远程干预型”智能化开采技术路线为主,虽然实现了井下工作面无人、少人作业,但受限于传感器水平与处理系统性能等困境,导致综采装备整体智能化程度不高,且不能智能感知工作面地质条件变化,并通过智能分析决策系统进行装备及工艺的自适应调整。尽管目前国内外科研机构和高等院校正在开展煤岩识别等有关技术难题的研究和探索,但基本都处于理论研究阶段,还未进行真正的实践应用。另外,现有装备未实现故障自诊断及采集数据的大数据分析整合,导致现有智能化开采技术未取得实质性突破。因此,在诸多新技术尚不成熟以及关键性技术难题尚未攻克的前提下,未来的一段时间里,不能完全沿着现有的技术路线进行探索和研究,需要不断开展技术创新。从目前智能化开采技术应用过程存在的关键技术难题出发,重点对地理地质信息系统的透明工作面、工作面复杂环境条件与智能化采煤的耦合应用、高速监控平台和大数据分析处理技术、系统自适应和故障自诊断技术等创新性研究内容进行了展望,同时为进一步提升煤矿智能化开采技术水平,提供一些建议和思路。

     

    Abstract: By analyzing the research status of itelligent mining technology in coal mines,it is pointed out that most of the research on itelligent mining technology of coal mine in China is mostly in the primary stage,mainly based on the' visualized remote intervention"intelligent mining technology route. Although no one and few pe ople work in the underground working face,and limited by the level of sensor level and processing system performance, the overall intelligent level of fully-mechanized m ining equipment is not high,and it can not be intelligently perceived and integrated with the change of geological conditions.Although domestic and foreign scientific res earch institutions are carrying out research and exploration on related technical problems such as coal and rock identification,they are basically in the stage of theoretic al research. There is still a long way to go from real practice and application.In addition,the existing equipment has not realized the fault self-diagnosis and the big data analysis and integration of the collected data,resulting in no breakthrough in the existing intelligent mining technology. Therefore,under the premise that many new tech nologies are not yet mature and key technical problems have not yet been overcome,in the future,it is impossible to explore and research along the existing technologic al route completely and technological innovation needs to be continuously carried out. Starting from the key technical problems existing in the application process of int elligent mining technology, this paper focused on the creation of the transparent working face of geo-geological information system,the coupling application of complex e nvironmental conditions of working face with intelligent mining,high-speed monitoring platform and big data analysis and processing technology. Innovative research CO ntents such as system adaptive and fault self-diagnosis technology have been prospected,and some suggestions and ideas are provided to further improve the level of i ntelligent mining technology in coal mines.

     

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