• 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
井工煤矿智能化基础理论及关键技术
  • Title

    Basic Theory and Key Technologies ofIntelligent Mining in Jinggong Coal Mine

  • 作者

    张珂

  • Author

    ZHANG Ke

  • 单位

    中煤科工集团常州研究院有限公司天地(常州)自动化股份有限公司

  • Organization
    CCTEG Changzhou Research Institute
    Tiandi (Changzhou) Automation Co., Ltd.
  • 摘要

    随着矿业行业的不断发展,智能矿山建设已成为提高生产效率、保障安全和降低环境污染的重要手段。对当前井工煤矿智能化基础理论和关键技术研究现状进行了深入探讨,指出了存在的技术问题和挑战,并提出了未来发展的方向和重点。通过对井工煤矿智能化关键技术的分析,认为加强技术研发和创新、优化算法和提高传感器技术水平、降低成本和实施难度是推动智能矿山建设的核心要素。同时,需要加强跨学科、跨领域的合作与交流,促进产学研用合作,加速成果的转化和应用。总之,智井工煤矿智能化基础理论和关键技术的研究对于推动矿业领域的可持续发展具有重要的意义。

  • Abstract

    With the continuous development of the mining industry, the construction of intelligent mines hasbecome an important means to improve production efficiency, ensure safety, and reduce environmental pollution.An in-depth discussion was conducted on the current research status of intelligent basic theories and keytechnologies in underground coal mines, pointing out the existing technical problems and challenges, and proposingthe direction and focus of future development. Through the analysis of key technologies for intelligent mining inunderground mining, it is believed that strengthening technological research and innovation, optimizing algorithmsand improving sensor technology, reducing costs and implementation difficulties are the core elements to promotethe construction of intelligent mines. At the same time, it is necessary to strengthen interdisciplinary and crossdisciplinary cooperation and exchange, promote industry university research and application cooperation, andaccelerate the transformation and application of achievements. In summary, the research on the basic theory andkey technologies of intelligent mining in Zhijing Coal Mine is of great significance for promoting sustainabledevelopment in the mining industry.

  • 关键词

    智能矿山基础理论关键技术

  • KeyWords

    intelligent mining;basic theory;key technology3·6·

  • DOI
  • 引用格式
    张珂.井工煤矿智能化基础理论及关键技术[ J]. 煤矿机电,2024,45(2):35-38,45.
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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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