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新一代信息技术赋能煤矿装备数智化转型升级

金智新 闫志蕊 王宏伟 李正龙 史凌凯

金智新,闫志蕊,王宏伟,等. 新一代信息技术赋能煤矿装备数智化转型升级[J]. 工矿自动化,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123
引用本文: 金智新,闫志蕊,王宏伟,等. 新一代信息技术赋能煤矿装备数智化转型升级[J]. 工矿自动化,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123
JIN Zhixin, YAN Zhirui, WANG Hongwei, et al. The new generation of information technology empowers the digital and intelligent transformation and upgrading of coal mining equipment[J]. Journal of Mine Automation,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123
Citation: JIN Zhixin, YAN Zhirui, WANG Hongwei, et al. The new generation of information technology empowers the digital and intelligent transformation and upgrading of coal mining equipment[J]. Journal of Mine Automation,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123

新一代信息技术赋能煤矿装备数智化转型升级

doi: 10.13272/j.issn.1671-251x.18123
基金项目: 中国工程院咨询研究项目(2022SX2,2021SX3);山西省科技计划揭榜招标资助项目(20201101005);山西省基础研究计划资助项目(202203021212275)。
详细信息
    作者简介:

    金智新(1959—),男,辽宁锦州人,教授级高级工程师,中国工程院院士,博士,主要研究方向为煤炭智能开采技术与煤矿安全工程管理,E-mail:jinzhixin@tyut.edu.cn

    通讯作者:

    闫志蕊(1993—),女,山西吕梁人,博士研究生,主要研究方向为煤矿机电智能化控制技术,E-mail:mjlayue29@163.com

  • 中图分类号: TD67

The new generation of information technology empowers the digital and intelligent transformation and upgrading of coal mining equipment

  • 摘要: 当前,煤矿智能化建设正处于初级向中高级智能化过渡探索期,现有智能装备自主创新能力尚需加强,核心技术“卡脖子”,井下复杂赋存条件下可靠性问题突出,如何利用新一代信息技术,纵深推动煤矿装备数智化转型升级,以数字化、智能化推动煤炭安全高效绿色开采具有重要意义。回顾了我国煤炭开采技术与装备智能化发展的演进过程,分析了煤炭开采各阶段的生产特征,认为煤矿智能化彻底改变了煤炭生产方式,生产要素以智能装备、智能化系统和复合型技术人才为主,从本质上提升了煤矿安全高效生产水平,助推煤矿实现减人增安提效。其中智能煤矿装备是煤矿智能化的核心要素,面对未来煤矿装备数智化转型发展的需求,探索了新一代信息技术与煤矿装备融合发展的路径,即以装备为智能化载体,通过新一代信息技术赋予装备智能感知与分析、智能判断与推理、智能决策与控制、智能诊断与学习的类人化智能化能力,并构建了物联网、5G、大数据、云计算、人工智能技术赋能煤矿装备智能感知、智能传输、智能分析、智能计算和智能决策的系统架构。深入分析了煤矿装备数智化发展过程中存在的理论、技术和人才难题,提出了煤矿装备数智化发展的建议:夯实基础是第一要务,须构建煤矿装备智能化顶层设计理论体系,加强关键核心技术攻关,加快新型基础设施建设,夯实煤矿智能化发展根基;煤矿装备智能化技术与煤矿特殊应用场景协同耦合发展,贴近煤矿井下现场需求,形成煤矿专用场景智能化技术,探索装备数智融合创新模式;智能技术与绿色开采技术相互融合促进,打造数字化、智能化、绿色化装备,开发煤炭智能高效低碳开采新模式,促进煤炭生产节能降耗;建立健全煤矿智能化人才培养体系,培养多学科交叉复合型人才,为煤矿智能化建设增强人才储备力量。

     

  • 图  1  煤炭开采技术的演进及生产特征

    Figure  1.  Evolution and production characteristics of coal mining technology

    图  2  中国GDP与煤炭产量随煤矿智能化发展的变化

    Figure  2.  Relationship between China's GDP and coal production with the development of coal mine intelligence

    图  3  2002−2022年中国煤矿安全生产形势变化

    Figure  3.  Changes in China's coal mine safety production situation from 2002 to 2022

    图  4  煤矿智能装备系统类人化结构对照

    Figure  4.  Comparison of humanized structure of intelligent equipment system in coal mine

    图  5  煤矿装备物联网智能感知系统架构

    Figure  5.  Architecture of IoT intelligent perception system for coal mine equipment

    图  6  基于5G的掘进装备远程集控网络架构

    Figure  6.  Remote centralized control network architecture for tunneling equipment based on 5G

    图  7  煤矿装备大数据平台

    Figure  7.  Coal mine equipment big data platform

    图  8  煤矿装备大数据“云−边−端”协同应用架构

    Figure  8.  The "cloud-edge-terminal" collaborative application architecture of big data for coal mine equipment

    图  9  “煤矿机器人+人工智能”智能协同模式

    Figure  9.  Intelligent collaborative mode of "coal mine robot + artificial intelligence"

  • [1] 李首滨. 基于工业互联网的煤矿智能一体化管控平台[J]. 智能矿山,2022,3(4):2-11.

    LI Shoubin. Intelligent integrated control platform for coal mine based on industrial Internet[J]. Journal of Intelligent Mine,2022,3(4):2-11.
    [2] 王国法, 刘峰. 中国煤矿智能化发展报告(2022年)[M]. 北京: 应急管理出版社, 2022.

    WANG Guofa, LIU Feng. China coal mine intelligence development report (2022)[M]. Beijing: Emergency Management Press, 2022.
    [3] 黄曾华. 综采装备单机智能化向智能协同模式转型的探索研究[J]. 煤炭科学技术,2021,49(4):169-175. doi: 10.13199/j.cnki.cst.2021.04.020

    HUANG Zenghua. Exploration and research on transformation from intelligent single machine equipment to intelligent synergy in coal mine[J]. Coal Science and Technology,2021,49(4):169-175. doi: 10.13199/j.cnki.cst.2021.04.020
    [4] 金智新,王宏伟,付翔. HCPS理论体系下新一代智能煤矿发展路径[J]. 工矿自动化,2022,48(10):1-12.

    JIN Zhixin,WANG Hongwei,FU Xiang. Development path of new generation intelligent coal mine under HCPS theory system[J]. Journal of Mine Automation,2022,48(10):1-12.
    [5] 中国煤炭工业协会. 2022煤炭行业发展年度报告[R]. 北京: 中国煤炭工业协会, 2023.

    China National Coal Association. 2022 annual report on the development of the coal industry[R]. Beijing: China National Coal Association, 2023.
    [6] 王国法,富佳兴,孟令宇. 煤矿智能化创新团队建设与关键技术研发进展[J]. 工矿自动化,2022,48(12):1-15.

    WANG Guofa,FU Jiaxing,MENG Lingyu. Development of innovation team construction and key technology research in coal mine intelligence[J]. Journal of Mine Automation,2022,48(12):1-15.
    [7] 张建锋, 肖利华, 许诗军. 数智化: 数字政府、数字经济与数字社会大融合[M]. 北京: 电子工业出版社, 2022.

    ZHANG Jianfeng, XIAO Lihua, XU Shijun. Digital intelligence: the integration of digital government, digital economy, and digital society[M]. Beijing: Publishing House of Electronics Industry, 2022.
    [8] 陈国青,任明,卫强,等. 数智赋能:信息系统研究的新跃迁[J]. 管理世界,2022,38(1):180-196. doi: 10.3969/j.issn.1002-5502.2022.01.013

    CHEN Guoqing,REN Ming,WEI Qiang,et al. Data-intelligence empowerment:a new leap of information systems research[J]. Journal of Management World,2022,38(1):180-196. doi: 10.3969/j.issn.1002-5502.2022.01.013
    [9] 王国法,刘峰,庞义辉,等. 煤矿智能化——煤炭工业高质量发展的核心技术支撑[J]. 煤炭学报,2019,44(2):349-357. doi: 10.13225/j.cnki.jccs.2018.2041

    WANG Guofa,LIU Feng,PANG Yihui,et al. Coal mine intellectualization:the core technology of high quality development[J]. Journal of China Coal Society,2019,44(2):349-357. doi: 10.13225/j.cnki.jccs.2018.2041
    [10] 李首滨. 智能化开采研究进展与发展趋势[J]. 煤炭科学技术,2019,47(10):102-110. doi: 10.13199/j.cnki.cst.2019.10.012

    LI Shoubin. Progress and development trend of intelligent mining technology[J]. Coal Science and Technology,2019,47(10):102-110. doi: 10.13199/j.cnki.cst.2019.10.012
    [11] 王国法,徐亚军,张金虎,等. 煤矿智能化开采新进展[J]. 煤炭科学技术,2021,49(1):1-10. doi: 10.13199/j.cnki.cst.2021.01.001

    WANG Guofa,XU Yajun,ZHANG Jinhu,et al. New development of intelligent mining in coal mines[J]. Coal Science and Technology,2021,49(1):1-10. doi: 10.13199/j.cnki.cst.2021.01.001
    [12] 金智新,曹孟涛,王宏伟. “中等收入”与新“双控”背景下煤炭行业转型发展新机遇[J]. 煤炭科学技术,2023,51(1):45-58.

    JIN Zhixin,CAO Mengtao,WANG Hongwei. New opportunities for coal industry transformation and development under the background of the level of a moderately developed country and a new "dual control" system[J]. Coal Science and Technology,2023,51(1):45-58.
    [13] 许日杰,杨科,吴劲松,等. 麻地梁煤矿智能化开采研究[J]. 工矿自动化,2021,47(11):9-15. doi: 10.13272/j.issn.1671-251x.2021080034

    XU Rijie,YANG Ke,WU Jinsong,et al. Research on intelligent mining in Madiliang Coal Mine[J]. Industry and Mine Automation,2021,47(11):9-15. doi: 10.13272/j.issn.1671-251x.2021080034
    [14] 崔亚仲,任艳艳,白明亮. 神东矿区煤炭智能化建设实践[J]. 煤炭科学技术,2022,50(增刊1):218-226.

    CUI Yazhong,REN Yanyan,BAI Mingliang. Practice of intelligent construction of Shendong Coal Mine[J]. Coal Science and Technology,2022,50(S1):218-226.
    [15] 丁恩杰,廖玉波,张雷,等. 煤矿信息化建设回顾与展望[J]. 工矿自动化,2020,46(7):5-11. doi: 10.13272/j.issn.1671-251x.17624

    DING Enjie,LIAO Yubo,ZHANG Lei,et al. Review and prospect of coal mine informatization construction[J]. Industry and Mine Automation,2020,46(7):5-11. doi: 10.13272/j.issn.1671-251x.17624
    [16] 袁亮,俞啸,丁恩杰,等. 矿山物联网人-机-环状态感知关键技术研究[J]. 通信学报,2020,41(2):1-12. doi: 10.11959/j.issn.1000-436x.2020036

    YUAN Liang,YU Xiao,DING Enjie,et al. Research on key technologies of human-machine-environment states perception in mine Internet of things[J]. Journal on Communications,2020,41(2):1-12. doi: 10.11959/j.issn.1000-436x.2020036
    [17] 丁恩杰,俞啸,廖玉波,等. 基于物联网的矿山机械设备状态智能感知与诊断[J]. 煤炭学报,2020,45(6):2308-2319. doi: 10.13225/j.cnki.jccs.zn20.0340

    DING Enjie,YU Xiao,LIAO Yubo,et al. Key technology of mine equipment state perception and online diagnosis under Internet of Things[J]. Journal of China Coal Society,2020,45(6):2308-2319. doi: 10.13225/j.cnki.jccs.zn20.0340
    [18] 孙继平. 煤矿智能化与矿用5G和网络硬切片技术[J]. 工矿自动化,2021,47(8):1-6. doi: 10.13272/j.issn.1671-251x.17821

    SUN Jiping. Coal mine intelligence,mine 5G and network hard slicing technology[J]. Industry and Mine Automation,2021,47(8):1-6. doi: 10.13272/j.issn.1671-251x.17821
    [19] 张立亚. 煤矿5G通信系统安全应用技术研究[J]. 工矿自动化,2021,47(12):8-12,45. doi: 10.13272/j.issn.1671-251x.17854

    ZHANG Liya. Research on safety application technology of coal mine 5G communication system[J]. Industry and Mine Automation,2021,47(12):8-12,45. doi: 10.13272/j.issn.1671-251x.17854
    [20] 王国法,张铁岗,王成山,等. 基于新一代信息技术的能源与矿业治理体系发展战略研究[J]. 中国工程科学,2022,24(1):176-189.

    WANG Guofa,ZHANG Tiegang,WANG Chengshan,et al. Development of energy and mining governance system based on new-generation information technology[J]. Strategic Study of CAE,2022,24(1):176-189.
    [21] 崔亚仲,白明亮,李波. 智能矿山大数据关键技术与发展研究[J]. 煤炭科学技术,2019,47(3):66-74.

    CUI Yazhong,BAI Mingliang,LI Bo. Key technology and development research on big data of intelligent mine[J]. Coal Science and Technology,2019,47(3):66-74.
    [22] 曹现刚,马宏伟,段雍,等. 煤矿设备智能维护与健康管理技术研究现状与展望[J]. 智能矿山,2020,1(1):105-111.

    CAO Xiangang,MA Hongwei,DUAN Yong,et al. Research status and prospects of intelligent maintenance and health management technology for coal mine equipment[J]. Journal of Intelligent Mine,2020,1(1):105-111.
    [23] 王国法,任怀伟,赵国瑞,等. 智能化煤矿数据模型及复杂巨系统耦合技术体系[J]. 煤炭学报,2022,47(1):61-74. doi: 10.13225/j.cnki.jccs.YG21.1860

    WANG Guofa,REN Huaiwei,ZHAO Guorui,et al. Digital model and giant system coupling technology system of smart coal mine[J]. Journal of China Coal Society,2022,47(1):61-74. doi: 10.13225/j.cnki.jccs.YG21.1860
    [24] 马小平,胡延军,缪燕子. 物联网、大数据及云计算技术在煤矿安全生产中的应用研究[J]. 工矿自动化,2014,40(4):5-9.

    MA Xiaoping,HU Yanjun,MIAO Yanzi. Application research of technologies of Internet of things,big data and cloud computing in coal mine safety production[J]. Industry and Mine Automation,2014,40(4):5-9.
    [25] 姜德义,魏立科,王翀,等. 智慧矿山边缘云协同计算技术架构与基础保障关键技术探讨[J]. 煤炭学报,2020,45(1):484-492. doi: 10.13225/j.cnki.jccs.YG19.1371

    JIANG Deyi,WEI Like,WANG Chong,et al. Discussion on the technology architecture and key basic support technology for intelligent mine edge-cloud collaborative computing[J]. Journal of China Coal Society,2020,45(1):484-492. doi: 10.13225/j.cnki.jccs.YG19.1371
    [26] 马小平,杨雪苗,胡延军,等. 人工智能技术在矿山智能化建设中的应用初探[J]. 工矿自动化,2020,46(5):8-14. doi: 10.13272/j.issn.1671-251x.17593

    MA Xiaoping,YANG Xuemiao,HU Yanjun,et al. Preliminary study on application of artificial intelligence technology in mine intelligent construction[J]. Industry and Mine Automation,2020,46(5):8-14. doi: 10.13272/j.issn.1671-251x.17593
    [27] 康迎春. 我国煤矿智能化建设存在的主要问题及对策分析[J]. 智能矿山,2022,3(5):11-17.

    KANG Yingchun. Analysis of the main problems and countermeasures in the intelligent construction of coal mines in China[J]. Journal of Intelligent Mine,2022,3(5):11-17.
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  • 收稿日期:  2023-05-15
  • 修回日期:  2023-06-06
  • 网络出版日期:  2023-06-19

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