Advance Search
ZHANG Jianzhong, GUO Jun. Discussion on industrial internet technology framework of smart mine[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(5).
Citation: ZHANG Jianzhong, GUO Jun. Discussion on industrial internet technology framework of smart mine[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(5).

Discussion on industrial internet technology framework of smart mine

Funds: 

Special Funding Project for Science and Technology Innovation and Entrepreneurship of China Coal Science and Industry Group Co., Ltd. (2019-2-ZD0022018-TD-MS059); Beijing Science and Technology Plan Funding Project (Z201100004520015)

More Information
  • Available Online: April 02, 2023
  • Published Date: May 24, 2022
  • Aiming at the problems of information island,data quality and network information security in the process of intelligent mine construction,this paper analyzes the current situation of smart mine construction technology framework,and compares the relationship between smart mine construction and coal industry internet.The main methodology is ISO/IEC/IEEE42010 system and software engineering standard,The Internet architecture system of smart mine industry is put forward,including four system construction of “network,logo,platform and security” of equipment layer,edge layer,enterprise layer and industry layer,it expounds the five layer architecture of smart mine industry internet platform technology,and analyzes the main contents and interrelations of each layer,including ①Site layer,providing data sources and process optimization scenarios for industrial equipment and business management; ②Edge layer,an edge cloud computing architecture based on the integration of OPC UA and TSN is constructed to realize the closed-loop edge application of perception,interconnection and computing; ③IaaS layer,to build a storage and computing architecture based on edge cloud collaboration,to realize the virtualization and pooling of network,storage,CPU and other resources; ④Industrial PaaS platform layer,including general resource deployment and management,mining big data engine,mining mechanism and big data modeling analysis,mining digital twin information model modeling engine and development environment based on micro service framework and components; ⑤The industrial SaaS application layer calls and encapsulates the development tools,mine mechanism model,data-driven model and other services on the industrial PaaS platform to develop intelligent mine business operation and mine intelligent application APP. It also discusses the construction of “smart mine brain” enabling intelligent mine based on PaaS platform of smart mine industry internet operation system,The main application scenarios are mine resource exploration,digital collaborative design,mine construction management,integrated automation integration,intelligent mining,rapid excavation,geological survey management,fault diagnosis,〖JP2〗intelligent logistics,intelligent ventilation,accurate perception,major hazard identification and control,emergency rescue and long-range supervision and supervision. Finally,the summary and prospect are given.
  • Related Articles

    [1]CUI Yazhong, HE Jianrong, REN Yanyan. Research on application of artificial intelligence safety production management and control platform in Shendong mining area[J]. COAL SCIENCE AND TECHNOLOGY, 2025, 53(S1): 275-283. DOI: 10.12438/cst.2024-0102
    [2]SHEN Binxue. Design and key technology of intelligent management and control system for coal preparation plant based on Mining Industry Internet[J]. COAL SCIENCE AND TECHNOLOGY, 2024, 52(9): 210-219. DOI: 10.12438/cst.2024-0873
    [3]CUI Yao, YE Zhuang. Research on cloud-edge-terminal collaborative intelligent control of coal shearer based on 5G communication[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(6): 205-216. DOI: 10.13199/j.cnki.cst.2022-1017
    [4]CHEN Xiaojing. Construction of intelligent prevention and control of coal mine fire based on “cloud-edge-end” cooperation[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(12): 136-143. DOI: 10.13199/j.cnki.cst.2021-0488
    [5]ZHANG Xiaoxia, LI Shoubin, SU Shanghai, LI Hao. Design and implementation of mine big data platform based on industrial internet architecture[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(6): 277-285.
    [6]WANG Enyuan, LI Zhonghui, LI Baolin, QIN Ben, XU Jiankun, LI Nan, XIA Hongyu, ZHANG Guorui, LI Yang, FENG Xiaojun, LIU Xiaofei. Big data monitoring and early warning cloud platform for coal mine gas disaster risk and potential danger and its application[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(1): 142-150.
    [7]LI Shoubin. Coal Industry Internet and its key technologies[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(7).
    [8]WANG Zhongxin, SUN Xin, WANG Jinjin, QI Zhenpeng, SONG Bo. Collaborative work platform architecture and key technologies of intelligent open pit mine based on BIM[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (10).
    [9]ZHENG Linjiang, ZHOU Longhui, WANG Jie, LI Jian, HUANG Jing. Design of coal mine dust monitoring cloud service platform based on Internet of Things[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (7).
    [10]Integrated Platform System Framework of Mine Internet of Things Based on Cloud Computation[J]. COAL SCIENCE AND TECHNOLOGY, 2012, (9).
  • Cited by

    Periodical cited type(33)

    1. 陈生凯,明平田,申宁. 青海某金矿安全监管视频AI智能系统建设. 黄金. 2025(01): 20-23+36+6 .
    2. 张荣浩,胡刚,马立豪,牛飞. 基于智能技术的煤矿设备撤退方案设计. 内蒙古煤炭经济. 2025(05): 67-69 .
    3. 弯茂全,李昊,王浩. 基于工业互联网平台的煤矿跨系统统一数据服务研究与应用. 工矿自动化. 2025(03): 96-104 .
    4. 赵文,王超,何利辉,李瑞锋. 智能矿山一体化管控平台研究. 矿山机械. 2025(04): 61-66 .
    5. 柳小波,丛峰武,张宝金,马新博,陈晓云,张兴帆,王连成. 我国金属矿山智慧化转型实践与展望. 金属矿山. 2025(05): 1-16 .
    6. 卢丽君. 数字化转型背景下煤炭行业内部审计转型路径研究. 商业经济. 2024(03): 161-164 .
    7. 尹建辉. 基于工业互联网架构的煤矿瓦斯智能抽采管控系统设计. 工矿自动化. 2024(02): 28-34 .
    8. 王国法,庞义辉,任怀伟,战凯,杜明,张勇,程健,杜毅博,张建中,巩师鑫,王丹丹,孟令宇,孟积渐. 智慧矿山系统工程及关键技术研究与实践. 煤炭学报. 2024(01): 181-202 .
    9. 莫灿,和帅. 矿山智能化掘进系统的开发与应用. 世界有色金属. 2024(02): 46-48 .
    10. 黄若洪,吴岩,程云涛,姚红春. 基于微服务架构的智慧矿山基础平台建设. 测绘通报. 2024(S1): 221-225 .
    11. 郭奋超,凌鹏涛,强辉. 红柳林煤矿智能化生产经营管理体系建设研究. 煤炭经济研究. 2024(04): 59-64 .
    12. 汪发宝. 5G智慧矿山的关键技术和创新应用. 科技资讯. 2024(13): 45-49 .
    13. 申斌学. 基于矿山工业互联网的选煤厂智能管控体系设计与关键技术. 煤炭科学技术. 2024(09): 210-219 . 本站查看
    14. 张智星,付翔,张小强,李浩杰,秦一凡,刘萌,孙岩,贾一帆,杨宇琪. 煤矿工业数据AI模型自动推理技术. 工矿自动化. 2024(09): 138-143 .
    15. 张强,杨康,曹津铭,白雨,邓攀博,杨子. 视频AI算法分析的煤矿固体智能充填开采方法. 煤炭科学技术. 2024(11): 163-173 . 本站查看
    16. 钱明明,高山,陈琛,王冬梅,桑云. 面向矿山安全检验机构的智慧云综合应用平台开发研究. 电脑编程技巧与维护. 2024(12): 148-150 .
    17. 王海军,覃杰. 煤炭企业数字化转型基本框架与实施路径研究. 中国煤炭. 2024(12): 115-123 .
    18. 高平. 智能巷道素描图同步绘制系统设计与应用. 煤炭工程. 2024(S1): 1-6 .
    19. 杨军,张超,杨恢凡,郭一楠. 煤炭工业互联网技术研究综述. 工矿自动化. 2023(04): 23-32 .
    20. 弯茂全,李昊. 基于微服务架构的煤炭工业互联网平台研究与设计. 中国煤炭. 2023(07): 109-115 .
    21. 王耀. 基于5G工业互联网的井工煤矿信息化技术研究. 工矿自动化. 2023(S1): 29-31 .
    22. 肖粲俊,刘红梅,石发强,邓从阳,赖建. 基于数字孪生的煤矿智能管控平台架构研究与实现. 矿业安全与环保. 2023(05): 43-49 .
    23. 高俊莲,张佳琪,张博. 构建全国统一煤炭大市场的思考与对策. 煤炭经济研究. 2023(07): 4-10 .
    24. 张俊杰,徐宗宇,朱永鑫,尚东冉. 微服务技术在车辆智能运维系统中的实践与应用. 智慧轨道交通. 2023(06): 89-92 .
    25. 邓文革,赵星宇,张仁生. 煤矿云计算数据中心建设研究. 工矿自动化. 2023(S2): 103-106 .
    26. 赵子瑜,毕林. 矿边智能:智能矿山边缘侧建设新趋势. 黄金科学技术. 2023(06): 964-977 .
    27. 鲁杰,李平,徐青云,宁掌玄,张望杰,郑嘉璐. “双碳”背景下山西省智慧矿山建设路径研究. 煤炭工程. 2022(03): 186-192 .
    28. 王忠鑫,辛凤阳,宋波,曾祥玉,刘英璐,王金金,田凤亮,赵明,李杰,李申岩. 论露天煤矿智能化建设总体设计. 煤炭科学技术. 2022(02): 37-46 . 本站查看
    29. 刘见中. 强化科技创新推动煤炭行业高质量发展研究. 中国煤炭. 2022(04): 1-7 .
    30. 任艳艳,张磊. 基于工业互联网的煤矿生产管控平台研究. 内蒙古煤炭经济. 2022(12): 33-36 .
    31. 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. 工矿自动化. 2022(10): 1-12 .
    32. 张海宙. 以工业互联网推进煤炭产业数字化转型的研究与实践. 内蒙古煤炭经济. 2022(24): 115-117 .
    33. 李建博,张煦. 某选矿厂碎矿系统5G+信息化建设实践. 现代矿业. 2021(10): 150-152+155 .

    Other cited types(5)

Catalog

    Article views (191) PDF downloads (3455) Cited by(38)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return