Research on evaluation and promotion strategy of data governance capability for intelligent coal mines

WANG Meijun; TAN Zhanglu; LI Huiyuan; LÜ Hanbing

doi:10.19606/j.cnki.jmst.2024.01.011

Volume 9 Issue 1

Feb. 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Mining Science and Technology > 2024 > 9(1): 106-115

WANG Meijun, TAN Zhanglu, LI Huiyuan, LÜ Hanbing. Research on evaluation and promotion strategy of data governance capability for intelligent coal mines[J]. Journal of Mining Science and Technology, 2024, 9(1): 106-115. doi: 10.19606/j.cnki.jmst.2024.01.011

Citation:

PDF( 7599 KB)

Research on evaluation and promotion strategy of data governance capability for intelligent coal mines

doi: 10.19606/j.cnki.jmst.2024.01.011

School of Management, China University of Mining and Technology-Beijing, Beijing 100083, China

Received Date: 2023-05-26
Rev Recd Date: 2023-07-22
Publish Date: 2024-02-29

Abstract

Abstract

Data governance capability is fundamental to coal mine intelligence construction. It could accelerate the intelligent construction of coal mines and promote the digital transformation of the coal industry so as to building a modern energy system in digital China. This paper therefore discusses the theory and methods of improving data governance capability for intelligent coal mines. Specifically, this study analyzes its strategic demands of intelligent coal mine construction on data governance and offers a working definition for data governance capability for intelligent coal mines. Then an evaluative system is proposed for the evaluation of data governance capability for intelligent coal mines. Further, by drawing on capability maturity theory, this study establishes a maturity model that specifies the improvement path of data governance capability for intelligent coal mines. Finally, based on the PDCA cycle theory, this paper puts forward strategies for improving data governance capability for intelligent coal mines, in order to 1)supplement existing theories of data governance capability enhancement, and 2)provide references for future practices of data governance.
- intelligent coal mine,
- data governance,
- capability maturity,
- data management,
- data standard

FullText(HTML)

References(22)

References

[1]	国家发展改革委, 国家能源局, 应急管理部, 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)[2023-05-25]. http://www.gov.cn/zhengce/zhengceku/2020-03/05/content_5487081.htm.
[2]	国家能源局. 关于加快推进能源数字化智能化发展的若干意见[EB/OL]. (2023-03-28)[2023-05-25]. http://www.gov.cn/zhengce/zhengceku/2023-04/02/content_5749758.htm.
[3]	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. 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.
[4]	谭章禄, 王美君. 智能化煤矿数据治理概念模型及技术架构研究[J]. 矿业科学学报, 2023, 8(2): 242-255. doi: 10.19606/j.cnki.jmst.2023.02.011 TAN Zhanglu, WANG Meijun. Research on conceptual model and technical framework of intelligent coal mine data governance[J]. Journal of Mining Science and Technology, 2023, 8(2): 242-255. doi: 10.19606/j.cnki.jmst.2023.02.011
[5]	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.
[6]	谭章禄, 王美君. 智能化煤矿数据归类与编码实质、目标与技术方法[J]. 工矿自动化, 2023, 49(1): 56-62, 72. TAN Zhanglu, WANG Meijun. The essence, target and technical method of intelligent coal mine data classification and coding[J]. Journal of Mine Automation, 2023, 49(1): 56-62, 72.
[7]	谭章禄, 王美君, 叶紫涵. 智能化煤矿数据治理体系与关键问题研究[J]. 工矿自动化, 2023, 49(5): 22-29. TAN Zhanglu, WANG Meijun, YE Zihan. Research on intelligent coal mine data governance system and key issues[J]. Journal of Mine Automation, 2023, 49(5): 22-29.
[8]	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.
[9]	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. 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.
[10]	王霖, 方乾, 张晓霞, 等. 智能化煤矿数据仓库建模方法[J]. 工矿自动化, 2022, 48(4): 5-13. WANG Lin, FANG Qian, ZHANG Xiaoxia, et al. Intelligent coal mine data warehouse modeling method[J]. Journal of Mine Automation, 2022, 48(4): 5-13.
[11]	刘海强, 陈晓晶, 张兴华, 等. 面向煤矿安全监控的数据仓库关键技术[J]. 工矿自动化, 2022, 48(4): 31-37, 113. LIU Haiqiang, CHEN Xiaojing, ZHANG Xinghua, et al. Key technologies of data warehouse for coal mine safety monitoring[J]. Journal of Mine Automation, 2022, 48(4): 31-37, 113.
[12]	方乾, 张晓霞, 王霖, 等. 智能化煤矿大数据治理关键技术研究、实践与应用[J]. 工矿自动化, 2023, 49(5): 37-45, 73. FANG Qian, ZHANG Xiaoxia, WANG Lin, et al. Research, practice and application of key technologies of intelligent coal mine big data governance[J]. Journal of Mine Automation, 2023, 49(5): 37-45, 73.
[13]	叶兰. 数据管理能力成熟度模型比较研究与启示[J]. 图书情报工作, 2020, 64(13): 51-57. YE Lan. The comparative research and reference on capability maturity models for data management[J]. Library and Information Service, 2020, 64(13): 51-57.
[14]	国家质量监督检验检疫总局, 中国国家标准化管理委员会. 信息技术服务数据中心服务能力成熟度模型: GB/T 33136—2016[S]. 北京: 中国标准出版社, 2016.
[15]	国家质量监督检验检疫总局, 中国国家标准化管理委员会. 数据管理能力成熟度评估模型: GB/T 36073—2018[S]. 北京: 中国标准出版社, 2018.
[16]	国家市场监督管理总局, 国家标准化管理委员会. 信息安全技术数据安全能力成熟度模型: GB/T 37988—2019[S]. 北京: 中国标准出版社, 2019.
[17]	孙旭东, 刘庚慧, 段星月, 等. 智能化煤矿监测监控数据治理能力提升路径研究[J]. 煤炭工程, 2023, 55(6): 139-144. SUN Xudong, LIU Genghui, DUAN Xingyue, et al. Improvement path of monitoring data governance ability for intelligent coal mines[J]. Coal Engineering, 2023, 55(6): 139-144.
[18]	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. doi: 10.19606/j.cnki.jmst.2022.02.014 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. doi: 10.19606/j.cnki.jmst.2022.02.014
[19]	MARK C. Paulk, Bill Curtis, Mary Beth Chrissis, et al. Capability Maturity Model SM for Software, Version1.1[R/OL]. (1993-02)[2023-05-25]. https://resources.sei.cmu.edu/library/asset-view.cfm?assetID=11955.
[20]	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.
[21]	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.
[22]	中共中央, 国务院. 数字中国建设整体布局规划[EB/OL]. (2023-02-27)[2023-05-25]. http://www.gov.cn/xinwen/2023-02-27/content_5743484.htm.

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(3) / Tables(1)

Get Citation

PDF

XML

Article Metrics

Article views (101) PDF downloads(44)

Research on evaluation and promotion strategy of data governance capability for intelligent coal mines

doi: 10.19606/j.cnki.jmst.2024.01.011

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Export File

Citation

Format

Content