Advance Search

XIE Jiacheng,ZHENG Ziying,WANG Xuewen,et al. Preliminary research on the operation mode of virtual-real integration in fully-mechanized mining face based on industrial metaverse[J]. Coal Science and Technology,2023,51(10):266−279

. DOI: 10.13199/j.cnki.cst.2022-1864
Citation:

XIE Jiacheng,ZHENG Ziying,WANG Xuewen,et al. Preliminary research on the operation mode of virtual-real integration in fully-mechanized mining face based on industrial metaverse[J]. Coal Science and Technology,2023,51(10):266−279

. DOI: 10.13199/j.cnki.cst.2022-1864

Preliminary research on the operation mode of virtual-real integration in fully-mechanized mining face based on industrial metaverse

Funds: 

Central Guidance for Local Science and Technology Development Funding Project (YDZJSX2022A014); Major Science and Technology Special Project of Shanxi Province (202101020101021); Shanxi Province Scholarship Program for Research Activities of Overseas Students (20230008)

More Information
  • Received Date: November 07, 2022
  • Available Online: September 27, 2023
  • The key to promoting intelligent construction is to integrate the digital twin technology form the operation mode of virtual and real integration. And the industrial metaverse based on digital twin is the future development direction of intelligent mining face. The concept of virtual and real integration operation mode of fully-mechanized mining face based on virtual reality-digital twin-cyber physical system-industrial metaverse is proposed. It has six connotation characteristics, such as display and off-line simulation, monitoring and auxiliary operation, online simulation and preview. It is an evolution process from low-level display simulation to high-level deep integration function. Finally, it have four abilities : the ability of reproduction mapping from real to virtual precision, the ability of reasoning and forecasting decision-making in virtual iteration, the ability of reproduction control from virtual to real, the ability of seamless cooperation between virtual and real human-computer, and the ability of lean management. The four capabilities of industrial metaverse and the key technologies to realize industrial metaverse are analyzed.Based on the existing monitoring, decision-making and control capabilities, AR remote assistance technology that can strengthen the cooperation ability between field operators and remote operators, robot cooperation technology that can strengthen the safety of operators, and virtual human technology that can use AI-driven operation in virtual space are integrated to build a hydraulic support adjusting experimental system based on industrial metaveise,and preliminary understanding of the application of industrial metaverse in coal mining.

  • [1]
    刘 峰,曹文君,张建明,等. 我国煤炭工业科技创新进展及“十四五”发展方向[J]. 煤炭学报,2021,46(1):1−15. doi: 10.13225/j.cnki.jccs.2021.0042

    LIU Feng,CAO Wenjun,ZHANG Jianming,et al. Current technological innovation and development direction of the 14th Five-Year Plan period in China coal industry[J]. Journal of China Coal Society,2021,46(1):1−15. doi: 10.13225/j.cnki.jccs.2021.0042
    [2]
    王国法,任怀伟,赵国瑞,等. 智能化煤矿数据模型及复杂巨系统耦合技术体系[J]. 煤炭学报,2022,47(1):61−74. doi: 10.13225/j.cnki.jccs.YG21.1860

    WANG Guofa,REN Huaiwei,ZHAO Guorui,et al. Digital model and giant system coupling technology system of smart coal mine[J]. Journal of China Coal Society,2022,47(1):61−74. doi: 10.13225/j.cnki.jccs.YG21.1860
    [3]
    陶 飞,刘蔚然,张 萌,等. 数字孪生五维模型及十大领域应用[J]. 计算机集成制造系统,2019,25(1):1−18.

    TAO Fei,LIU Weiran,ZHANG Meng,et al. Five-dimension digital twin model and its ten applications[J]. Computer Integrated Manufacturing Systems,2019,25(1):1−18.
    [4]
    葛世荣,郝雪弟,田 凯,等. 采煤机自主导航截割原理及关键技术[J]. 煤炭学报,2021,46(3):774−788. doi: 10.13225/j.cnki.jccs.yt21.0114

    GE Shirong,HAO Xuedi,TIAN Kai,et al. Principle and key technology of autonomous navigation cutting for deep coal seam[J]. Journal of China Coal Society,2021,46(3):774−788. doi: 10.13225/j.cnki.jccs.yt21.0114
    [5]
    WANG J H,HUANG Z H. The Recent Technological Development of Intelligent Mining in China[J]. Engineering,2017(3):444.
    [6]
    RALSTON J C,REID D C,DUNN M T,et al. Longwall automation: Delivering enabling technology to achieve safer and more productive underground mining[J]. International Journal of Mining Science & Technology,2015,25(6):865−876.
    [7]
    陶 飞,张 贺,戚庆林,等. 数字孪生模型构建理论及应用[J]. 计算机集成制造系统,2021,27(1):1−15.

    TAO Fei,ZHANG He,QI Qinglin,et al. Theory of digital twin modeling and its application[J]. Computer Integrated Manufacturing Systems,2021,27(1):1−15.
    [8]
    陶 飞,张 贺,戚庆林,等. 数字孪生十问: 分析与思考[J]. 计算机集成制造系统,2020,26(1):1−17.

    TAO Fei,ZHANG He,QI Qinglin,et al. Ten questions towards digital twin: analysis and thinking[J]. Computer Integrated Manufacturing Systems,2020,26(1):1−17.
    [9]
    李 浩,王昊琪,刘 根,等. 工业数字孪生系统的概念、系统结构与运行模式[J]. 计算机集成制造系统,2021,27(12):3373−3390. doi: 10.13196/j.cims.2021.12.001

    LI Hao,WANG Haoqo,LIU Yin,et al. Concept, system structure and operating mode of industrial digital twin system[J]. Computer Integrated Manufacturing Systems,2021,27(12):3373−3390. doi: 10.13196/j.cims.2021.12.001
    [10]
    TAO F,QI Q L,WANG L H,et al. Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: correlation and comparison[J]. Engineering,2019,5(4):653−661. doi: 10.1016/j.eng.2019.01.014
    [11]
    陶 飞,张辰源,张 贺,等. 未来装备探索: 数字孪生装备[J]. 计算机集成制造系统,2022,28(1):1−16.

    TAO Fei,ZHANG Chenyuan,ZHANG He,et al. Future equipment exploration: digital twin equipment[J]. Computer Integrated Manufacturing Systems,2022,28(1):1−16.
    [12]
    李普超,丁首辰,薛 冰. 从汽车智能化发展到汽车行业“元宇宙”展望[J]. 内燃机与配件,2021(24):164−166. doi: 10.3969/j.issn.1674-957X.2021.24.054

    LI Puchao,DING Shouchen,XUE Bing et al. From the development of automobile intelligence to the outlook of the"Meta Universe"of the automobile industry[J]. Internal Combustion Engine & Parts,2021(24):164−166. doi: 10.3969/j.issn.1674-957X.2021.24.054
    [13]
    陶 飞,程 颖,程江峰,等. 数字孪生车间信息物理融合理论与技术[J]. 计算机集成制造系统,2017,23(8):1603−1611.

    TAO Fei,CHENG Ying,CHENG Jiangfeng,et al. Theories and technologies for cyber-physical fusion in digital twin shop-floor[J]. Computer Integrated Manufacturing Systems,2017,23(8):1603−1611.
    [14]
    高 琪. 新时代链接元宇宙为行业加速赋能[J]. 大数据时代,2022(2):48−57.

    GAO Qi. Linking the metaverse in the new era to empower industry acceleration[J]. Big Data Time,2022(2):48−57.
    [15]
    王文喜,周 芳,万月亮,等. 元宇宙技术综述[J]. 工程科学学报,2022,44(4):744−756.

    WANG Wenxi,ZHOU Fang,WAN Yueliang,et al. A survey of metaverse technology[J]. Chinese Journal of Engineering,2022,44(4):744−756.
    [16]
    陶 飞,刘蔚然,刘检华,等. 数字孪生及其应用探索[J]. 计算机集成制造系统,2018,24(1):1−18.

    TAO Fei,LIU Weiran,LIU Jianhua,et al. Digital twin and its potential application exploration[J]. Computer Integrated Manufacturing Systems,2018,24(1):1−18.
    [17]
    谢嘉成,王学文,郝尚清,等. 工业互联网驱动的透明综采工作面运行系统及关键技术[J]. 计算机集成制造系统,2019,25(12):3160−3169. doi: 10.13196/j.cims.2019.12.017

    XIE Jiacheng,WANG Xuewen,HAO Shangqing,et al. Operating system and key technologies of transparent fully mechanized mining face driven by industrial Internet[J]. Computer Integrated Manufacturing Systems,2019,25(12):3160−3169. doi: 10.13196/j.cims.2019.12.017
    [18]
    葛世荣,张 帆,王世博,等. 数字孪生智采工作面技术架构研究[J]. 煤炭学报,2020,45(6):1925−1936. doi: 10.13225/j.cnki.jccs.ZN20.0327

    GE Shirong,ZHANG Fan,WANG Shibo,et al. Digital twin for smart coal mining workface: technological frame and construction[J]. Journal of China Coal Society,2020,45(6):1925−1936. doi: 10.13225/j.cnki.jccs.ZN20.0327
    [19]
    陈 龙,王 晓,杨健健,等. 平行矿山: 从数字孪生到矿山智能[J]. 自动化学报,2021,47(7):1633−1645.

    CHEN Long,WANG Xiao,YANG Jianjian,et al. Parallel Mining Operating systems: from digital twins to mining intelligence[J]. Acta Automatica Sinica,2021,47(7):1633−1645.
    [20]
    谢嘉成,王学文,杨兆建. 基于数字孪生的综采工作面生产系统设计与运行模式[J]. 计算机集成制造系统,2019,25(6):1381−1391.

    XIE Jiacheng,WANG Xuewen,YANG Zhaojian. Design and operation mode of production system of fully mechanized coal mining face based on digital twin theory[J]. Computer Integrated Manufacturing Systems,2019,25(6):1381−1391.
    [21]
    徐雪战,孟祥瑞,何叶荣,等. 基于三维可视化与虚拟仿真技术的综采工作面生产仿真研究[J]. 中国安全生产科学技术,2014,10(1):26−32. doi: 10.11731/j.issn.1673-193x.2014.01.004

    XU Xuezhan,MENG Xiangrui,HE Yerong,et al. Research on virtual simulation of full mechanized mining face production based on three-dimensional visualization and virtual simulation[J]. Journal of Safety Science and Technology,2014,10(1):26−32. doi: 10.11731/j.issn.1673-193x.2014.01.004
    [22]
    孙 政,廉自生,谢嘉成,等. VR环境下综采工作面三机网络协同操作系统研究[J]. 矿业研究与开发,2018,38(6):94−98. doi: 10.13827/j.cnki.kyyk.2018.06.020

    SUN Zheng,LIAN Zisheng,XIE Jiacheng,et al. Research on the collaborative operating system of three-machine network in fully mechanized coal mining face under vr environment[J]. Mining Research and Development,2018,38(6):94−98. doi: 10.13827/j.cnki.kyyk.2018.06.020
    [23]
    王学文,谢嘉成,郝尚清,等. 智能化综采工作面实时虚拟监测方法与关键技术[J]. 煤炭学报,2020,45(6):1984−1996. doi: 10.13225/j.cnki.jccs.zn20.0342

    WANG Xuewen,XIE Jiacheng,HAO Shangqing,et al. Key technologies of real-time virtual monitoring method for an intelligent fully mechanized coal-mining face[J]. Journal of China Coal Society,2020,45(6):1984−1996. doi: 10.13225/j.cnki.jccs.zn20.0342
    [24]
    XIE J C,LIU S G,WANG X W. Framework for a closed-loop cooperative human Cyber-Physical System for the mining industry driven by VR and AR: MHCPS[J]. Computers & Industrial Engineering,2022,46(6):108050.
    [25]
    谢嘉成,王学文,李 祥,等. 虚拟现实技术在煤矿领域的研究现状及展望[J]. 煤炭科学技术,2019,47(3):53−59. doi: 10.13199/j.cnki.cst.2019.03.007

    XIE Jiacheng,WANG Xuewen,LI Xiang,et al. Research status and prospect of virtual reality technology in field of coal mine[J]. Coal Science and Technology,2019,47(3):53−59. doi: 10.13199/j.cnki.cst.2019.03.007
    [26]
    王学文,刘曙光,王雪松,等. AR/VR融合驱动的综采工作面智能监控关键技术研究与试验[J]. 煤炭学报,2022,47(2):969−985.

    WANG Xuewen,LIU Shuguang,WANG Xuesong,et al. Research and test on key technologies of intelligent monitoring and control driven by AR/VR for fully mechanized coal-mining face[J]. Journal of China Coal Society,2022,47(2):969−985.
    [27]
    王学文,李素华,谢嘉成,等. 机器人运动学与时序预测融合驱动的刮板输送机调直方法[J]. 煤炭学报,2021,46(2):652−666.

    WANG Xuewen,LI Suhua,XIE Jiacheng,et al. Straightening method of scraper conveyor driven by robot kinematics and time series prediction[J]. Journal of China Coal Society,2021,46(2):652−666.
    [28]
    JIAO X,XIE J,WANG X,et al. Intelligent decision method for the position and attitude self-adjustment of hydraulic support groups driven by a digital twin system[J]. Measurement,2022,202:111722. doi: 10.1016/j.measurement.2022.111722
  • Cited by

    Periodical cited type(1)

    1. 徐裴,白喜成,马伟,张宝鹏,王宇,张龙科. 基于水文地质特征的矿井涌水量预测及水害防治措施研究. 陕西煤炭. 2025(01): 64-68+73 .

    Other cited types(1)

Catalog

    Article views (154) PDF downloads (75) Cited by(2)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return