Analysis of the problems of smart mine construction based on the layer-level-chain reference model
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摘要: 煤矿信息化进程在历经数字矿山和感知矿山两个阶段的建设后，当前正朝着以透彻感知、深度互联和智能应用为主要特征的智慧矿山迈进。本文立足于“工业4.0”的国际发展背景，按照“中国制造2025”的方针政策，借鉴德、美、日的工业化参考模型，结合煤炭行业自身特点，从顶层设计的角度提出了符合我国国情的智慧矿山建设参考模型。模型分别从活动层、组织级和价值链三个维度阐明了智慧矿山建设所涉及的基本要素及其关系。基于参考模型对智慧矿山存在的问题与现状进行了分析，并指出了未来建设中应该重点攻克的方向。Abstract: After the process of coal mine informatization has gone through the two stages of construction of digital mines and perception mines, it is currently moving towards a smart mine featuring thorough perception, deep interconnection and intelligent applications. This article, based on the international development background of "Industry 4.0", in accordance with the guidelines and policies of "Made in China 2025", using the industrialization reference models of Germany, the United States, and Japan as references, and combining the characteristics of the coal industryproposes a reference model for smart mine construction in line with national conditions from the perspective of top-level design. The model clarifies the basic elements and relationships involved in the construction of smart mines from the three dimensions of activity level, organization level, and value chain. Based on the reference model, the existing problems and status quo of smart mines are analysed and the directions that should be focused on in the future construction is pointed out.
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Key words:
- smart mine /
- information construction /
- top-level design /
- reference model /
- made in China 2025
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图 3 完美智慧矿山三个世界及其联系
Figure 3. The three worlds of the perfect smart mine and their connections
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[1] 徐静, 谭章禄. 智慧矿山系统工程与关键技术探讨[J]. 煤炭科学技术, 2014, 42(4): 79-82. https://www.cnki.com.cn/Article/CJFDTOTAL-MTKJ201404023.htmXu Jing, Tan Zhanglu. Smart mine system engineering and discussion of its key technology[J]. Coal Science and Technology, 2014, 42(4): 79-82. https://www.cnki.com.cn/Article/CJFDTOTAL-MTKJ201404023.htm [2] ZVEI. The Reference architectural model RAMI 4.0 and the industrie 4.0 component[R]. Frankfurt: VVDI, VDE, ZVEI, 2015. [3] 欧阳劲松, 刘丹, 汪烁, 等. 德国工业4.0参考架构模型与我国智能制造技术体系的思考[J]. 自动化博览, 2016(3): 62-65. doi: 10.3969/j.issn.1003-0492.2016.03.035Ouyang Jinsong, Liu Dan, Wang Shuo, et al. The reference architecture model of German industry 4.0 and the thinking of intelligent manufacturing technology system in China[J]. Automation Panorama, 2016(3): 62-65. doi: 10.3969/j.issn.1003-0492.2016.03.035 [4] Moghaddam M, Cadavid M N, Kenley C R, et al. Reference architectures for smart manufacturing: a critical review[J]. Journal of Manufacturing Systems, 2018, 49: 215-225. doi: 10.1016/j.jmsy.2018.10.006 [5] ⅡC. Industrial internet reference architecture (ⅡRA). MA, USA: Industrial Internet Consortium, Needham; 2015. [6] Industrial Value Chain Reference Architecture (IVRA), Industrial Value Chain Initiative, https://iv-i.org/wp/en/downloads/. [7] Innovation. Industrial Value Chain Reference Architecture(IVRA)[EB/OL]. (2021-5-1)https://www.innovation4.cn/library/r7632. [8] 王莉. 德国工业4.0对《中国制造2025》的创新驱动研究[J]. 科学管理研究, 2017, 35(5): 100-103, 107. https://www.cnki.com.cn/Article/CJFDTOTAL-KXGY201705026.htmWang Li. German Industry 4.0(Industry 4.0)"China made 2025"innovation driven research[J]. Scientific Management Research, 2017, 35(5): 100-103, 107. https://www.cnki.com.cn/Article/CJFDTOTAL-KXGY201705026.htm [9] 国务院. 国务院关于印发《中国制造2025》的通知[EB/OL]. (2015-05-19)http://www.gov.cn/zhengce/content/2015-05/19/content_9784.htm. [10] 蒋选, 周怡. 先进制造业选择标准及建设制造强国的发展路径[J]. 理论探讨, 2018(3): 102-108. https://www.cnki.com.cn/Article/CJFDTOTAL-LLTT201803017.htmJiang Xuan, Zhou Yi. The choice standard of advanced manufacturing industry and the development path of building a powerful manufacturing country[J]. Theoretical Investigation, 2018(3): 102-108. https://www.cnki.com.cn/Article/CJFDTOTAL-LLTT201803017.htm [11] 吴立新, 朱旺喜, 张瑞新. 数字矿山与我国矿山未来发展[J]. 科技导报, 2004, 22(7): 29-31, 28. doi: 10.3321/j.issn:1000-7857.2004.07.009Wu Lixin, Zhu Wangxi, Zhang Ruixin. Digital mine and the future development of mines in China[J]. Science & Technology Review, 2004, 22(7): 29-31, 28. doi: 10.3321/j.issn:1000-7857.2004.07.009 [12] 张申, 丁恩杰, 徐钊, 等. 物联网与感知矿山专题讲座之二: 感知矿山与数字矿山、矿山综合自动化[J]. 工矿自动化, 2010, 36(11): 129-132. https://www.cnki.com.cn/Article/CJFDTOTAL-MKZD201011038.htmZhang Shen, Ding Enjie, Xu Zhao, et al. Part ⅱof lecture of Internet of Things and sensor mine—sensor mine, digital mine and integrated automation of mine[J]. Industry and Mine Automation, 2010, 36(11): 129-132. https://www.cnki.com.cn/Article/CJFDTOTAL-MKZD201011038.htm [13] 高有进, 杨艺, 常亚军, 等. 综采工作面智能化关键技术现状与展望[J]. 煤炭科学技术, 2021, 49(8): 1-22. https://www.cnki.com.cn/Article/CJFDTOTAL-MTKJ202108001.htmGao Youjin, Yang Yi, Chang Yajun, et al. Status and prospect of key technologies of intelligentization of fully-mechanized coal mining face[J]. Coal Science and Technology, 2021, 49(8): 1-22. https://www.cnki.com.cn/Article/CJFDTOTAL-MTKJ202108001.htm [14] 康红普, 姜鹏飞, 高富强, 等. 掘进工作面围岩稳定性分析及快速成巷技术途径[J]. 煤炭学报, 2021, 46(7): 2023-2045. https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB202107002.htmKang Hongpu, Jiang Pengfei, Gao Fuqiang, et al. Analysis on stability of rock surrounding heading faces and technical approaches for rapid heading[J]. Journal of China Coal Society, 2021, 46(7): 2023-2045. https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB202107002.htm [15] 王虹, 王步康, 张小峰, 等. 煤矿智能快掘关键技术与工程实践[J]. 煤炭学报, 2021, 46(7): 2068-2083. https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB202107005.htmWang Hong, Wang Bukang, Zhang Xiaofeng, et al. Key technology and engineering practice of intelligent rapid heading in coal mine[J]. Journal of China Coal Society, 2021, 46(7): 2068-2083. https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB202107005.htm [16] 何敏. 智慧矿山重要特征与实现途径[J]. 工矿自动化, 2018, 44(3): 31-35. https://www.cnki.com.cn/Article/CJFDTOTAL-MKZD201803007.htmHe Min. Important characteristics and realization ways of wisdom mine[J]. Industry and Mine Automation, 2018, 44(3): 31-35. https://www.cnki.com.cn/Article/CJFDTOTAL-MKZD201803007.htm [17] 张旭平, 赵甫胤, 孙彦景. 基于物联网的智慧矿山安全生产模型研究[J]. 煤炭工程, 2012, 44(10): 123-125. https://www.cnki.com.cn/Article/CJFDTOTAL-MKSJ201210043.htmZhang Xuping, Zhao Fuyin, Sun Yanjing. Study on safety production model of intelligent mine base on Internet of Things[J]. Coal Engineering, 2012, 44(10): 123-125. https://www.cnki.com.cn/Article/CJFDTOTAL-MKSJ201210043.htm [18] 张科利, 任长忠. 基于物联网的智慧矿山的智能生产系统展望[J]. 中国矿业, 2012, 21(S1): 76-79, 130. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA2012S1021.htmZhang Keli, Ren Changzhong. Mine intelligent production systems outlook based on Internet of Things[J]. China Mining Magazine, 2012, 21(S1): 76-79, 130. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA2012S1021.htm [19] 龚金梅, 肖红卫, 刘消寒, 等. 物联网领域关键技术专利分析[J]. 云南大学学报: 自然科学版, 2012, 34(2): 152-158. https://www.cnki.com.cn/Article/CJFDTOTAL-YNDZ201202008.htmGong Jinmei, Xiao Hongwei, Liu Xiaohan, et al. The patent analysis for key technologies on Internet of Things[J]. Journal of Yunnan University: Natural Sciences Edition, 2012, 34(2): 152-158. https://www.cnki.com.cn/Article/CJFDTOTAL-YNDZ201202008.htm [20] 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. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGME201910008.htmTan Zhanglu, Wu Qi. Analysis and discussion of smart mine theory and key technologies[J]. China Coal, 2019, 45(10): 30-40. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGME201910008.htm [21] DAMA international. The DAMA guide to the data management body of knowledge[M]. New York: Technics Publications, 2009: 37. [22] Data Governance Institute. The DGI data governance frame-work[R]. USA: DGI, 2009. [23] 黄辉, 周文姗, 刘海滨. 适应智能采矿的人才培养模式研究[J]. 矿业科学学报, 2021, 6(3): 356-363. doi: 10.19606/j.cnki.jmst.2021.03.013Huang Hui, Zhou Wenshan, Liu Haibin. Research on talent training mode for intelligent mining[J]. Journal of Mining Science and Technology, 2021, 6(3): 356-363. doi: 10.19606/j.cnki.jmst.2021.03.013 -
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