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智慧矿山数据治理概念内涵、发展目标与关键技术

谭章禄 王美君

谭章禄,王美君. 智慧矿山数据治理概念内涵、发展目标与关键技术[J]. 工矿自动化,2022,48(5):6-14.  doi: 10.13272/j.issn.1671-251x.2021120090
引用本文: 谭章禄,王美君. 智慧矿山数据治理概念内涵、发展目标与关键技术[J]. 工矿自动化,2022,48(5):6-14.  doi: 10.13272/j.issn.1671-251x.2021120090
TAN Zhanglu, WANG Meijun. Research on the concept connotation, development goal and key technologies of data governance for smart mine[J]. Journal of Mine Automation,2022,48(5):6-14.  doi: 10.13272/j.issn.1671-251x.2021120090
Citation: TAN Zhanglu, WANG Meijun. Research on the concept connotation, development goal and key technologies of data governance for smart mine[J]. Journal of Mine Automation,2022,48(5):6-14.  doi: 10.13272/j.issn.1671-251x.2021120090

智慧矿山数据治理概念内涵、发展目标与关键技术

doi: 10.13272/j.issn.1671-251x.2021120090
基金项目: 国家自然科学基金项目(61471362)。
详细信息
    作者简介:

    谭章禄(1962—­),男,江西赣县人,教授,博士,博士研究生导师,主要从事智慧矿山、管理信息系统、数据治理等方面的教学与科研工作,E-mail:tanzl@vip.sina.com

  • 中图分类号: TD67

Research on the concept connotation, development goal and key technologies of data governance for smart mine

  • 摘要: 煤矿数据是推动煤矿智能化技术开发、应用模式创新、市场竞争力提升的核心资源,数据治理是智慧矿山初级阶段向高级阶段发展的关键瓶颈,但目前在智慧矿山数据治理的概念内涵、发展目标和关键技术等方面尚未达成共识。针对该问题,剖析了数据治理在智慧矿山建设中的重要地位,界定了智慧矿山数据治理的概念内涵:智慧矿山数据治理是在“沉淀、复用、共享、协同”的治理理念引导下,煤炭企业内各部门连同行业和政府监管部门通力协作,制定数据标准和管理规范,重塑煤炭企业数据架构和数据传输链路,打通智慧矿山数据壁垒,保障数据质量和数据安全,构建智慧矿山技术联动和业务协同机制,实现数字驱动型决策和柔性生产的过程。从总体目标、发展策略、阶段性任务3个方面探讨了智慧矿山数据治理的发展目标,指出智慧矿山数据治理的重点是解决智慧矿山建设过程中的信息孤岛问题,实现数据共享和业务协同,使得智慧矿山真正成为促进煤炭企业价值提升的有机整体;智慧矿山数据治理需要妥善处理好局部协同与整体协同、物理集成与逻辑集成、智能业务系统与数据治理平台、集团级数据治理平台与矿级数据治理平台、本地处理与云处理等5个方面的关系。提出智慧矿山数据治理需突破数据标准构建、全局数据建模、数据汇聚、数据开发、数据管理、中台架构等6个方面的关键技术。

     

  • 图  1  智能化矿山整体框架

    Figure  1.  The overall framework of intelligent mine

  • [1] 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.

    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.
    [2] 国家发展改革委, 国家能源局, 应急部, 等. 关于印发《关于加快煤矿智能化发展的指导意见》的通知[EB/OL]. (2020-02-25)[2021-12-25]. http://www.gov.cn/zhengce/zhengceku/2020-03/05/content_5487081.htm.

    National Development and Reform Commission, National Energy Administration, Ministry of Emergency Management, et al. Notice on issuing the Guiding Opinions on Accelerating the Intelligent Development of Coal Mines[EB/OL]. (2020-02-25)[2021-12-25]. http://www.gov.cn/zhengce/zhengceku/2020-03/05/content_5487081.htm.
    [3] 国家能源局, 国家矿山安全监察局. 国家能源局国家矿山安全监察局关于印发《煤矿智能化建设指南(2021年版)》的通知[EB/OL]. (2021-06-05)[2021-12-25]. http://www.gov.cn/zhengce/zhengceku/2021-06/19/content_5619502.htm.

    National Energy Administration, National Mine Safety Administration. Notice on issuing the Guide to Intelligent Construction in Coal Mines(2021 Edition) [EB/OL]. (2021-06-05)[2021-12-25]. http://www.gov.cn/zhengce/zhengceku/2021-06/19/content_5619502.htm.
    [4] 中国煤炭工业协会. 关于印发《煤炭工业“十四五”高质量发展指导意见》的通知[EB/OL]. (2021-06-03)[2021-12-25]. http://www.coalchina.org.cn/index.php?m=content&c=index&a=show&catid=464&id=129818.

    China National Coal Association. Notice on issuing the Guiding Opinions on High Quality Development of the 14th Five-Year Plan Period in China Coal Industry[EB/OL]. (2021-06-03) [2021-12-25]. http://www.coalchina.org.cn/index.php?m=content&c=index&a=show&catid=464&id=129818.
    [5] 全国人民代表大会. 中华人民共和国国民经济和社会发展第十四个五年规划和2035年远景目标纲要[EB/OL]. (2021-03-13)[2021-12-25]. http://www.gov.cn/xinwen/2021-03/13/content_5592681.htm.

    National People's Congress of the People's Republic of China. The 14th Five-Year Plan for national economic and social development of the people's Republic of China and the outline of long-term objectives for 2035[EB/OL]. (2021-03-13)[2021-12-25]. http://www.gov.cn/xinwen/2021-03/13/content_5592681.htm.
    [6] 工业和信息化部. 工业和信息化部关于印发“十四五”信息化和工业化深度融合发展规划的通知[EB/OL]. (2021-11-30) [2021-12-25]. https://www.miit.gov.cn/zwgk/zcwj/wjfb/tz/art/2021/art_117ccbb3dd4f4a27b21d988fbaa8b625.html.

    Ministry of Industry and Information Technology. Notice on issuing the development plan for the deep integration of informatization and industrialization in the 14th Five-Year Plan[EB/OL]. (2021-11-30)[2021-12-25]. https://www.miit.gov.cn/zwgk/zcwj/wjfb/tz/art/2021/art_117ccbb3dd4f4a27b21d988fbaa8b625.html.
    [7] 刘峰,曹文君,张建明,等. 我国煤炭工业科技创新进展及“十四五”发展方向[J]. 煤炭学报,2021,46(1):1-15.

    LIU Feng,CAO Wenjun,ZHANG Jianming,et al. Current technological innovation and development direction of the 14th Five-Year Plan period in China coal industry[J]. Journal of China Coal Society,2021,46(1):1-15.
    [8] 谭章禄,吴琦. 基于层级链参考模型的智慧矿山建设问题分析[J]. 矿业科学学报,2022,7(2):257-266.

    TAN Zhanglu,WU Qi. Analysis of the problems of smart mine construction based on the layer-level-chain reference model[J]. Journal of Mining Science and Technology,2022,7(2):257-266.
    [9] 何敏. 智能煤矿数据治理框架与发展路径[J]. 工矿自动化,2020,46(11):23-27.

    HE Min. Framework and development path of data governance in intelligent coal mine[J]. Industry and Mine Automation,2020,46(11):23-27.
    [10] 疏礼春. 智能煤矿数据中台架构及关键技术研究[J]. 工矿自动化,2021,47(6):40-44.

    SHU Lichun. Research on the architecture and key technologies of intelligent coal mine data middle platform[J]. Industry and Mine Automation,2021,47(6):40-44.
    [11] 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.

    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.
    [12] 张平松,李圣林,邱实,等. 巷道快速智能掘进超前探测技术与发展[J]. 煤炭学报,2021,46(7):2158-2173.

    ZHANG Pingsong,LI Shenglin,QIU Shi,et al. Advance detection technology and development of fast intelligent roadway drivage[J]. Journal of China Coal Society,2021,46(7):2158-2173.
    [13] 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.

    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.
    [14] 范京道,李川,闫振国. 融合5G技术生态的智能煤矿总体架构及核心场景[J]. 煤炭学报,2020,45(6):1949-1958.

    FAN Jingdao,LI Chuan,YAN Zhenguo. Overall architecture and core scenario of a smart coal mine incorporating 5G technology ecology[J]. Journal of China Coal Society,2020,45(6):1949-1958.
    [15] 齐冲冲,杨星雨,李桂臣,等. 新一代人工智能在矿山充填中的应用综述与展望[J]. 煤炭学报,2021,46(2):688-700.

    QI Chongchong,YANG Xingyu,LI Guichen,et al. Research status and perspectives of the application of artificial intelligence in mine backfilling[J]. Journal of China Coal Society,2021,46(2):688-700.
    [16] 吴增彤,姜福川,卢国斌,等. 区块链技术在煤矿安全投入中的应用探讨[J]. 中国安全生产科学技术,2021,17(5):187-192.

    WU Zengtong,JIANG Fuchuan,LU Guobin,et al. Discussion on application of blockchain technology in safety investment of coal mine[J]. Journal of Safety Science and Technology,2021,17(5):187-192.
    [17] 谭章禄,吴琦. 智慧矿山理论与关键技术探析[J]. 中国煤炭,2019,45(10):30-40. doi: 10.3969/j.issn.1006-530X.2019.10.008

    TAN Zhanglu,WU Qi. Analysis and discussion of smart mine theory and key technologies[J]. China Coal,2019,45(10):30-40. doi: 10.3969/j.issn.1006-530X.2019.10.008
    [18] 王学文,刘曙光,王雪松,等. AR/VR融合驱动的综采工作面智能监控关键技术研究与试验[J]. 煤炭学报,2022,47(2):969-985.

    WANG Xuewen,LIU Shuguang,WANG Xuesong,et al. Key technologies research and test of intelligent monitoring and control driven by AR/VR for fully mechanized coal-mining face[J]. Journal of China Coal Society,2022,47(2):969-985.
    [19] 王国法,王虹,任怀伟,等. 智慧煤矿2025情景目标和发展路径[J]. 煤炭学报,2018,43(2):295-305.

    WANG Guofa,WANG Hong,REN Huaiwei,et al. 2025 scenarios and development path of intelligent coal mine[J]. Journal of China Coal Society,2018,43(2):295-305.
    [20] WATSON H J,FULLER C,ARIYACHANDRA T. Data warehouse governance:best practices at Blue Cross and Blue Shield of North Carolina[J]. Decision Support Systems,2004,38(3):435-450. doi: 10.1016/j.dss.2003.06.001
    [21] ISO 8000-2-2020 Data quality-part 2: vocabulary[S].
    [22] ISO/IEC 20547-3-2020 Information technology-big data reference architecture-part 3: reference architecture[S].
    [23] ITU-T technical specification D2.1 data processing and management framework for IoT and smart cities and communities[S].
    [24] The Data Governance Institute. The DGI data governance framework[EB/OL]. [2021-12-25]. https://datagovernance.com/the-dgi-data-governance-framework/.
    [25] DAMA International. DAMA-DMBOK: data management body of knowledge[M]. 2nd Edition. New York: Technics Publications, 2017: 37.
    [26] GB/T 34960.5—2018 信息技术服务 治理 第5部分: 数据治理规范[S].

    GB/T 34960.5-2018 Information technology service-governance-part 5: specification of data governance[S].
    [27] 付登坡, 江敏, 任寅姿, 等. 数据中台: 让数据用起来[M]. 北京: 机械工业出版社, 2020: 22-28.

    FU Dengpo, JIANG Min, REN Yinzi, et al. Data middle office: make data valuable[M]. Beijing: China Machine Press, 2020: 22-28.
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出版历程
  • 收稿日期:  2021-12-27
  • 修回日期:  2022-04-20
  • 网络出版日期:  2022-03-05

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