Volume 50 Issue 5
May  2024
Turn off MathJax
Article Contents
PAN Wenlong, LI Shengjun, GAO Quanjun, et al. Research on information model of coal mine fully mechanized mining equipment based on industrial Internet[J]. Journal of Mine Automation,2024,50(5):84-92.  doi: 10.13272/j.issn.1671-251x.2024010022
Citation: PAN Wenlong, LI Shengjun, GAO Quanjun, et al. Research on information model of coal mine fully mechanized mining equipment based on industrial Internet[J]. Journal of Mine Automation,2024,50(5):84-92.  doi: 10.13272/j.issn.1671-251x.2024010022

Research on information model of coal mine fully mechanized mining equipment based on industrial Internet

doi: 10.13272/j.issn.1671-251x.2024010022
  • Received Date: 2024-01-09
  • Rev Recd Date: 2024-05-18
  • Available Online: 2024-06-13
  • The equipment for coal mine fully mechanized working faces comes from different manufacturers, with inconsistent interfaces, different data systems and business logic, resulting in data barriers and slow data exchange between systems. Based on the industrial Internet architecture, an intelligent fully mechanized mining technology architecture including equipment layer, access layer, edge layer, PaaS layer and application layer is proposed. Based on this architecture, coal mine fully mechanized mining equipment is treated as the overall data object, and a method for constructing an information model of coal mine fully mechanized mining equipment is designed. Four key elements and modeling rules, including attributes, methods, events, and alarms are defined to achieve seamless communication between various physical entities and heterogeneous systems. This means defining, describing, and associating information resources of fully mechanized mining equipment, providing a complete and unified data object expression, description, and operation model. A modeling element optimization mechanism based on importance and semantic similarity is proposed to address the problem of excessive attribute elements in the information model of fully mechanized mining equipment. A fully mechanized mining equipment information model for the 81004 working face of No.1 Mine of Huayang New Materials Technology Group Co., Ltd. is established using the above method. The operation status of the electric motors of the fully mechanized mining equipment is evaluated. The results show that based on this model, all electric motors in the working face could be monitored for starting times in a short period of time, multiple motor equipment starting power balance, and the operating efficiency. Analysis results are generated to provide data support for decision-making work.

     

  • loading
  • [1]
    王国法,刘峰,孟祥军,等. 煤矿智能化(初级阶段)研究与实践[J]. 煤炭科学技术,2019,47(8):1-36.

    WANG Guofa,LIU Feng,MENG Xiangjun,et al. Research and practice on intelligent coal mine construction(primary stage)[J]. Coal Science and Technology,2019,47(8):1-36.
    [2]
    王国法,范京道,徐亚军,等. 煤炭智能化开采关键技术创新进展与展望[J]. 工矿自动化,2018,44(2):5-12. doi: 10.13272/j.issn.1671-251x.17307

    WANG Guofa,FAN Jingdao,XU Yajun,et al. Innovation progress and prospect on key technologies of intelligent coal mining[J]. Industry and Mine Automation,2018,44(2):5-12. doi: 10.13272/j.issn.1671-251x.17307
    [3]
    工业互联网产业联盟. 工业互联网信息模型白皮书(征求意见稿)[EB/OL]. [2023-11-30]. http://www.aii-alliance.org/index/c316/n47.html.

    Alliance of Industrial Internet. Industrial Internet information model white paper(consultative document)[EB/OL]. [2023-11-30]. http://www.aii-alliance.org/index/c316/n47.html.
    [4]
    王金华,黄乐亭,李首滨,等. 综采工作面智能化技术与装备的发展[J]. 煤炭学报,2014,39(8):1418-1423.

    WANG Jinhua,HUANG Leting,LI Shoubin,et al. Development of intelligent technology and equipment in fully-mechanized coal mining face[J]. Journal of China Coal Society,2014,39(8):1418-1423.
    [5]
    杜毅博,张乘风,巩师鑫. 基于OPC UA的智能化综采工作面信息模型[J]. 工矿自动化,2022,48(2):42-48.

    DU Yibo,ZHANG Chengfeng,GONG Shixin. Information model of intelligent fully mechanized working face based on OPC UA[J]. Industry and Mine Automation,2022,48(2):42-48.
    [6]
    王健全,马彰超,孙雷,等. 工业网络体系架构的演进、关键技术及未来展望[J]. 工程科学学报,2023,45(8):1376-1389.

    WANG Jianquan,MA Zhangchao,SUN Lei,et al. Evolution,key technology,prospects,and applications of industrial network architecture[J]. Chinese Journal of Engineering,2023,45(8):1376-1389.
    [7]
    葛世荣. 煤矿智采工作面概念及系统架构研究[J]. 工矿自动化,2020,46(4):1-9.

    GE Shirong. Research on concept and system architecture of smart mining workface in coal mine[J]. Industry and Mine Automation,2020,46(4):1-9.
    [8]
    刘洋. 面向工业场景的OPC UA信息模型建模研究与应用[D]. 杭州:浙江大学,2023.

    LIU Yang. Research and application of OPC UA information model construction for industrial fields[D]. Hangzhou:Zhejiang University,2023.
    [9]
    王立平,张兆坤,邵珠峰,等. 机床制造加工数字化车间信息模型及其应用研究[J]. 机械工程学报,2019,55(9):154-165. doi: 10.3901/JME.2019.09.154

    WANG Liping,ZHANG Zhaokun,SHAO Zhufeng,et al. Research on the information model of digital machining workshop for machine tools and its applications[J]. Journal of Mechanical Engineering,2019,55(9):154-165. doi: 10.3901/JME.2019.09.154
    [10]
    张卡. 面向石化智能工厂测控与控制设备的信息模型设计与验证[J]. 当代化工研究,2023(23):194-196.

    ZHANG Ka. Information model design and verification of measurement and control equipment for petrochemical intelligent plant[J]. Modern Chemical Research,2023(23):194-196.
    [11]
    李迪,张柳,张春华,等. 基于AutomationML的信息物理生产线系统模型驱动开发方法[J]. 机械设计与制造,2021(10):295-299,303. doi: 10.3969/j.issn.1001-3997.2021.10.065

    LI Di,ZHANG Liu,ZHANG Chunhua,et al. A model-driven approach to cyber-physical production line system development based on AutomationML[J]. Machinery Design & Manufacture,2021(10):295-299,303. doi: 10.3969/j.issn.1001-3997.2021.10.065
    [12]
    李锋,张坤,原丽娜. 基于OPC UA的纺织智能染整车间信息模型研究与实现[J]. 纺织学报,2020,41(2):149-154.

    LI Feng,ZHANG Kun,YUAN Li'na. Research and implementation of information model for textile intelligent dyeing and finishing workshop based on OPC UA[J]. Journal of Textile Research,2020,41(2):149-154.
    [13]
    王国法,任怀伟,庞义辉,等. 煤矿智能化(初级阶段)技术体系研究与工程进展[J]. 煤炭科学技术,2020,48(7):1-27.

    WANG Guofa,REN Huaiwei,PANG Yihui,et al. Research and engineering progress of intelligent coal mine technical system in early stages[J]. Coal Science and Technology,2020,48(7):1-27.
    [14]
    王国法,杜毅博,任怀伟,等. 智能化煤矿顶层设计研究与实践[J]. 煤炭学报,2020,45(6):1909-1924.

    WANG Guofa,DU Yibo,REN Huaiwei,et al. Top level design and practice of smart coal mines[J]. Journal of China Coal Society,2020,45(6):1909-1924.
    [15]
    孟庆勇,顾闯. 煤矿工业互联网信息安全风险评估[J]. 工矿自动化,2019,45(8):43-47.

    MENG Qingyong,GU Chuang. Information security risk assessment of industrial Internet of coal mine[J]. Industry and Mine Automation,2019,45(8):43-47.
    [16]
    崔竟成. 煤矿云边协同智能云盒系统设计研究[J]. 煤炭技术,2022,41(7):206-209.

    CUI Jingcheng. Design and research of coal mine cloud-box system based on cloud edge collaboration[J]. Coal Technology,2022,41(7):206-209.
    [17]
    余思聪,黄颖,刘阳,等. 工业互联网信息模型发展现状及趋势研究[J]. 信息通信技术与政策,2020(6):36-41. doi: 10.3969/j.issn.1008-9217.2020.06.009

    YU Sicong,HUANG Ying,LIU Yang,et al. Research on the development status and trend of industrial Internet information model[J]. Information and Communications Technology and Policy,2020(6):36-41. doi: 10.3969/j.issn.1008-9217.2020.06.009
    [18]
    YU Sicong,HUANG Ying,DU Tao,et al. The proposal of a modeling methodology for an industrial internet information model[J]. PeerJ Computer Science,2022,8. DOI: 10.7717/PEERJ-CS.1150.
    [19]
    涂凡,黄海松,姚立国. 面向离散车间制造信息本体建模的研究[J]. 机械设计与制造,2018(2):263-266. doi: 10.3969/j.issn.1001-3997.2018.02.077

    TU Fan,HUANG Haisong,YAO Liguo. Research on ontology modeling of manufacturing information for discrete workshop[J]. Machinery Design & Manufacture,2018(2):263-266. doi: 10.3969/j.issn.1001-3997.2018.02.077
  • 加载中

Catalog

    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

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(13)  / Tables(9)

    Article Metrics

    Article views (115) PDF downloads(25) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return