通信学报 ›› 2020, Vol. 41 ›› Issue (2): 1-12.doi: 10.11959/j.issn.1000-436x.2020036

• 专题:智慧矿山 •    下一篇

矿山物联网人-机-环状态感知关键技术研究

袁亮1, 俞啸2(), 丁恩杰2, 赵小虎2, 冯仕民2, 张达3, 刘统玉4, 王卫东5, 黄艳秋6   

  1. 1 安徽理工大学能源与安全学院,安徽 淮南 232001
    2 中国矿业大学物联网(感知矿山)研究中心,江苏 徐州 221008
    3 北京矿冶科技集团有限公司矿山工程研究设计所,北京 100160
    4 山东科学院激光研究所,山东 济南 250014
    5 北京邮电大学电子工程学院,北京 100876
    6 不来梅大学电动力学与微电子研究所,不来梅 28359
  • 修回日期:2020-01-30 出版日期:2020-02-25 发布日期:2020-02-01
  • 作者简介:袁亮(1960- ),男,安徽金寨人,中国工程院院士,主要研究方向为煤炭开采及瓦斯治理、煤炭精准开采
    俞啸(1989- ),男,山东微山人,博士,中国矿业大学讲师,主要研究方向为矿山物联网、信号处理、故障诊断
    丁恩杰(1962- ),男,山东青岛人,博士,中国矿业大学教授,主要研究方向为工业物联网、模式识别、人员定位等
    赵小虎(1976- ),男,江苏徐州人,博士,中国矿业大学教授、博士生导师,主要研究方向为物联网、机器学习
    冯仕民(1983- ),男,江苏连云港人,博士,中国矿业大学助理研究员,主要研究方向为矿山物联网、图像识别技术
    张达(1980- ),男,北京人,博士,北京矿冶科技集团有限公司教授级高级工程师,主要研究方向为矿山安全监测、矿山物联网及矿山智能化技术
    刘统玉(1963- ),男,山东济宁人,博士,山东省科学院研究员,主要研究方向为光纤传感技术
    王卫东(1967- ),男,内蒙古包头人,博士,北京邮电大学教授、博士生导师,主要研究方向为卫星通信、移动通信、物联网等
    黄艳秋(1988- ),女,江苏徐州人,博士,不来梅大学在站博士后,主要研究方向为无线传感网络
  • 基金资助:
    国家重点研发计划基金资助项目(2017YFC0804400);国家重点研发计划基金资助项目(2017YFC0804401);国家重点研发计划基金资助项目(2017YFC0804404)

Research on key technologies of human-machine-environment states perception in mine Internet of things

Liang YUAN1, Xiao YU2(), Enjie DING2, Xiaohu ZHAO2, Shimin FENG2, Da ZHANG3, Tongyu LIU4, Weidong WANG5, Yanqiu HUANG6   

  1. 1 School of Energy and Safety,Anhui University of Science &Technology,Huainan 232001,China
    2 IoT Perception Mine Research Center,China University of Mining and Technology,Xuzhou 221008,China
    3 BGRIMM Technology Group,Beijing 100160,China
    4 Laser Institute,Shandong Academy of Sciences,Jinan 250014,China
    5 School of Telecommunication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China
    6 Institute of Electrodynamics and Microelectronics,University of Bermen,Bermen 28359,Germany
  • Revised:2020-01-30 Online:2020-02-25 Published:2020-02-01
  • Supported by:
    The National Key Research and Development Program of China(2017YFC0804400);The National Key Research and Development Program of China(2017YFC0804401);The National Key Research and Development Program of China(2017YFC0804404)

摘要:

物联网技术的多学科交叉融合特性为解决矿山安全生产问题提供了全新的途径,矿山“人-机-环”状态信息的实时精准感知是矿山物联网应用的基础。分析了矿山安全生产物联网技术体系架构,围绕矿山物联网感知理论、智能传感技术、标准化方法、大数据分析服务几个关键问题,建立了基于信息物理系统和数字孪生的虚实融合感知理论模型,提出了矿山“人-机-环”信息统一描述方法,研究了矿用光学等多参数传感与能量自动捕获技术,规范了矿山物联网编码与交互协议标准,设计了矿山物联网融合通信网络服务架构,构建了矿山物联网大数据高效接入与深度分析应用服务体系,实现矿山安全生产状态信息的全面精准感知、实时高效交互与智能分析应用。为提升矿山安全预防准备、监测预警、态势预判、综合保障技术水平,提高矿山安全生产效率提供有力的科技支撑。

关键词: 矿山物联网, 虚实融合感知, 智能传感器, 融合通信网络, 大数据分析服务

Abstract:

The multi-disciplinary cross-integration of Internet of things (IoT) technology provides a new way to thoroughly solve the problem of mine safety production.The real-time accurate perception and intelligent analysis of mine “human-machine-environment” status information is the basis of mine IoT application.The technological architecture of the IoT was analyzed for mine safety production,the virtual-real fusion perception theory model based on CPS and DT was established to solve key issues in mine IoT,such as perception theory,intelligent sensing technology,standardization method and large data analysis service.A unified description method for mine “human-machine-environment” information was put forward,the multi-parameter sensors and intelligent autonomous sensing devices were developed,and the mine IoT coding and interaction protocol standards were standardized.In addition,it was designed for the mine IoT converged communication network service architecture,the application service system of high-efficiency access and deep analysis of large data in mine IoT was constructed,which realized the comprehensive and accurate perception,real-time and efficient interaction and intelligent analysis application of mine safety production status information.It also provides strong scientific and technological support for the mine safety prevention preparation,monitoring and early warning,situational prejudgment,comprehensive protection and other technical levels.

Key words: mine Internet of things, virtual-real fusion perception, smart sensor, converged communication network, big data analysis service

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