DING Zhen, SUN Jiping, ZHANG Fan, et al. Study on the technical specification of communication interface and protocol for intelligent mine[J]. Journal of Mine Automation,2023,49(2):6-13. DOI: 10.13272/j.issn.1671-251x.18061
Citation: DING Zhen, SUN Jiping, ZHANG Fan, et al. Study on the technical specification of communication interface and protocol for intelligent mine[J]. Journal of Mine Automation,2023,49(2):6-13. DOI: 10.13272/j.issn.1671-251x.18061

Study on the technical specification of communication interface and protocol for intelligent mine

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  • Received Date: November 28, 2022
  • Revised Date: February 09, 2023
  • Available Online: February 26, 2023
  • At present, there are some problems in the construction of the intelligent mine, such as the non-uniform interface protocol and the formation of new "information island". They lead to the difficulty of data fusion and sharing in mines and the difficulty of realizing the high-quality development of intelligent mine. It is pointed out that the key problem of mine intelligent construction lies in the lack of standardized and unified data acquisition, transmission and sharing standards. According to the core specification, application specification, and operation and maintenance specification, the technology system of intelligent mine communication interface and protocol is designed. The communication interface and protocol model of intelligent mine is proposed. The perception layer, transmission layer and application layer of the model are defined. The model of intelligent mining equipment is constructed, and the communication interface is described formally. The intelligent mine data is divided into perception data, text data and audio-visual data. The message structures of the three kinds of data are defined. According to the current mining equipment, technology application and development direction, the intelligent mine data acquisition modes are divided into equipment direct acquisition, protocol conversion acquisition, and system transfer acquisition. The application scenarios of three data acquisition modes are pointed out. The acquisition and transmission process of perception data, text data, and audio-visual data are described. The technical specification of intelligent mine communication interface and protocol covers the whole process of mine data fusion communication. It provides unified interface mode and communication protocol specification for intelligent mine data acquisition, transmission, fusion and sharing. And it realizes interconnection and intercommunication among various systems of the mine.
  • [1]
    孙继平,张高敏. 矿井应急通信系统[J]. 工矿自动化,2019,45(8):1-5.

    SUN Jiping,ZHANG Gaomin. Mine emergency communication system[J]. Industry and Mine Automation,2019,45(8):1-5.
    [2]
    张帆. 矿井移动通信理论与技术[M]. 哈尔滨: 哈尔滨工业大学出版社, 2021.

    ZHANG Fan. Mine mobile communication theory and technology[M]. Harbin: Harbin Institute of Technology Press, 2021.
    [3]
    崔亚仲,白明亮,李波. 智能矿山大数据关键技术与发展研究[J]. 煤炭科学技术,2019,47(3):66-74.

    CUI Yazhong,BAI Mingliang,LI Bo. Key technology and development research on big data of intelligent mine[J]. Coal Science and Technology,2019,47(3):66-74.
    [4]
    罗香玉,李嘉楠,郎丁. 智慧矿山基本内涵、核心问题与关键技术[J]. 工矿自动化,2019,45(9):61-64. DOI: 10.13272/j.issn.1671-251x.2019020046

    LUO Xiangyu,LI Jianan,LANG Ding. Basic connotation,core problems and key technologies of wisdom mine[J]. Industry and Mine Automation,2019,45(9):61-64. DOI: 10.13272/j.issn.1671-251x.2019020046
    [5]
    王国法,任怀伟,赵国瑞,等. 煤矿智能化十大“痛点”解析及对策[J]. 工矿自动化,2021,47(6):1-11.

    WANG Guofa,REN Huaiwei,ZHAO Guorui,et al. Analysis and countermeasures of ten 'pain points' of intelligent coal mine[J]. Industry and Mine Automation,2021,47(6):1-11.
    [6]
    王鹏,胡而已,徐金陵,等. 智能化矿山数据融合共享规范体系研究[J]. 中国煤炭,2022,48(6):19-27. DOI: 10.3969/j.issn.1006-530X.2022.06.005

    WANG Peng,HU Eryi,XU Jinling,et al. Research on data fusion and sharing standard system of intelligent mine[J]. China Coal,2022,48(6):19-27. DOI: 10.3969/j.issn.1006-530X.2022.06.005
    [7]
    谭章禄,马营营,郝旭光,等. 智慧矿山标准发展现状及路径分析[J]. 煤炭科学技术,2019,47(3):27-34.

    TAN Zhanglu,MA Yingying,HAO Xuguang,et al. Development status and path analysis of smart mine standards[J]. Coal Science and Technology,2019,47(3):27-34.
    [8]
    赵小虎,王宽,沈雪茹,等. 面向煤矿井下的多协议融合网关设计[J]. 工矿自动化,2019,45(1):6-12.

    ZHAO Xiaohu,WANG Kuan,SHEN Xueru,et al. Design of multi-protocol fusion gateway for underground coal mine[J]. Industry and Mine Automation,2019,45(1):6-12.
    [9]
    韩茜. 智慧矿山信息化标准化系统关键问题研究[D]. 北京: 中国矿业大学(北京), 2016.

    HAN Xi. Study on key issues of intellimine informatization standardization system[D]. Beijing: China University of Mining and Technology-Beijing, 2016.
    [10]
    邬莎莎,廖晓群,马莉,等. 煤矿安全监控系统数据接口标准的研究[J]. 工矿自动化,2010,36(12):21-24.

    WU Shasha,LIAO Xiaoqun,MA Li,et al. Research of standard of data interface of safety monitoring and control system of coal mine[J]. Industry and Mine Automation,2010,36(12):21-24.
    [11]
    梁龙兵. 矿用多接口转换传输设备的设计与实现[D]. 徐州: 中国矿业大学, 2016.

    LIANG Longbing. Design and realization of mine-used multi-interface conversion transmission device[D]. Xuzhou: China University of Mining and Technology, 2016.
    [12]
    温亮,李丹宁. 基于EtherNet/IP的井工煤矿数据治理研究[J]. 煤炭科学技术,2022,50(增刊1):227-232.

    WEN Liang,LI Danning. Research on data management of coal mine based on EtherNet/IP[J]. Coal Science and Technology,2022,50(S1):227-232.
    [13]
    丁震,赵永峰,尤文顺,等. 国家能源集团煤矿智能化建设路径研究[J]. 中国煤炭,2020,46(10):35-39. DOI: 10.3969/j.issn.1006-530X.2020.10.007

    DING Zhen,ZHAO Yongfeng,YOU Wenshun,et al. Research on coal mine intelligent construction path of China Energy[J]. China Coal,2020,46(10):35-39. DOI: 10.3969/j.issn.1006-530X.2020.10.007
    [14]
    张帆,管增伦. 矿井盲区环境移动通信系统研究与设计[J]. 矿业科学学报,2016,1(2):181-187.

    ZHANG Fan,GUAN Zenglun. A novel mine mobile communication system of blackout environment in the coal mine[J]. Journal of Mining Science and Technology,2016,1(2):181-187.
    [15]
    庞义辉,王国法,任怀伟. 智慧煤矿主体架构设计与系统平台建设关键技术[J]. 煤炭科学技术,2019,47(3):35-42.

    PANG Yihui,WANG Guofa,REN Huaiwei. Main structure design of intelligent coal mine and key technology of system platform construction[J]. Coal Science and Technology,2019,47(3):35-42.
    [16]
    吴群英,蒋林,王国法,等. 智慧矿山顶层架构设计及其关键技术[J]. 煤炭科学技术,2020,48(7):80-91.

    WU Qunying,JIANG Lin,WANG Guofa,et al. Top-level architecture design and key technologies of smart mine[J]. Coal Science and Technology,2020,48(7):80-91.
    [17]
    王国法. 综采自动化智能化无人化成套技术与装备发展方向[J]. 煤炭科学技术,2014,42(9):30-34.

    WANG Guofa. Development orientation of complete fully- mechanized automation,intelligent and unmanned mining technology and equipment[J]. Coal Science and Technology,2014,42(9):30-34.
    [18]
    戴万波. 安全监控系统瓦斯电闭锁检测装置设计[J]. 工矿自动化,2021,47(8):121-127.

    DAI Wanbo. Design of gas electric locking detection device for safety monitoring system[J]. Industry and Mine Automation,2021,47(8):121-127.
    [19]
    李中杰. 基于数据分发服务的矿井通信系统设计[D]. 南京: 东南大学, 2020.

    LI Zhongjie. Design of mine communication system based on data distribution service[D]. Nanjing: Southeast University, 2020.
    [20]
    刘振兴. 煤矿电力监控系统硬件数据接口及通信协议标准研究[J]. 能源科技,2022,20(3):37-40.

    LIU Zhenxing. Research on hardware data interface and communication protocol standard of coal mine power monitoring system[J]. Energy Science and Technology,2022,20(3):37-40.
    [21]
    李国民,章鳌,贺耀宜,等. 智能矿井多元监控数据集成关键技术研究[J]. 工矿自动化,2022,48(8):127-130.

    LI Guomin,ZHANG Ao,HE Yaoyi,et al. Research on key technologies of multi-element monitoring data integration in intelligent mine[J]. Journal of Mine Automation,2022,48(8):127-130.
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