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数字孪生−应对智能化综采工作面技术挑战

葛世荣 王世博 管增伦 王雪松 安文龙 吕渊博 陈书航

葛世荣,王世博,管增伦,等. 数字孪生−应对智能化综采工作面技术挑战[J]. 工矿自动化,2022,48(7):1-12.  doi: 10.13272/j.issn.1671-251x.17959
引用本文: 葛世荣,王世博,管增伦,等. 数字孪生−应对智能化综采工作面技术挑战[J]. 工矿自动化,2022,48(7):1-12.  doi: 10.13272/j.issn.1671-251x.17959
GE Shirong, WANG Shibo, GUAN Zenglun, et al. Digital twin: meeting the technical challenges of intelligent fully mechanized working face[J]. Journal of Mine Automation,2022,48(7):1-12.  doi: 10.13272/j.issn.1671-251x.17959
Citation: GE Shirong, WANG Shibo, GUAN Zenglun, et al. Digital twin: meeting the technical challenges of intelligent fully mechanized working face[J]. Journal of Mine Automation,2022,48(7):1-12.  doi: 10.13272/j.issn.1671-251x.17959

数字孪生−应对智能化综采工作面技术挑战

doi: 10.13272/j.issn.1671-251x.17959
基金项目: 国家自然科学基金面上项目(51874279)。
详细信息
    作者简介:

    葛世荣(1963—),男,浙江天台人,中国工程院院士,教授,博士研究生导师,主要研究方向为智能矿山装备,E-mail:gesrcumt@126.com

    通讯作者:

    王世博(1979—),男,河北新河人,教授,博士,博士研究生导师,主要研究方向为智能矿山装备,E-mail:wangshb@cumt.edu.cn

  • 中图分类号: TD67

Digital twin: meeting the technical challenges of intelligent fully mechanized working face

  • 摘要: 基于智能化综采工作面目标任务−自主完成综采工作面可靠割煤、保持工作面几何关系、顶板可靠支护,提出了综采工作面智能控制关键技术,包括采煤机定位技术、工作面可视化技术、液压支架电液控制技术(装置)、工作面通信技术、综采装备协同控制技术、采煤机自动调高技术、工作面自动调直技术和工作面围岩支护控制技术(其中前3种技术属于智能化综采工作面的感知与执行层,工作面通信技术是智能化综采工作面的传输层,后4种技术属于智能化综采工作面的决策层)。指出智能化综采工作面面临的挑战为决策层的自主决策能力不能适应复杂多变的工况、感知与执行层不能支撑决策层的信息需求和决策指令的可靠执行。针对上述挑战问题,采用基于仿真的数字孪生建模方法,提出了综采工作面数字孪生系统架构。综采工作面数字孪生系统虚拟实体包括机理模型和行为模型,利用综采装备机理模型可获得综采装备物理系统的不可测数据,行为模型可为综采工作面智能控制系统提供反映物理装备运行状态的全息信息,解决决策层数据信息匮乏问题;综采装备机理模型与其控制系统组合的离线运行模式形成综采工作面硬件在环仿真系统,为基于工艺规则的智能控制算法提供测试平台;综采装备机理模型、行为模型与其控制系统组合的离线运行模式形成综采工作面计算实验系统,为综采工作面智能控制系统真正的自主决策复杂算法开发提供测试平台。

     

  • 图  1  综采工作面装备

    Figure  1.  Equipment on fully mechanized working face

    图  2  智能化综采工作面关键技术及其逻辑关系[25]

    Figure  2.  Key technologies of intelligent fully mechanized working face and their logical relationship[25]

    图  3  PLM概念设想[29]

    Figure  3.  Conceptual ideal for product lifecycle management(PLM)[29]

    图  4  数字模型、数字影子、数字孪生模式下物理实体和虚拟实体之间的数据流[34]

    Figure  4.  Data flow between physical entity and virtual entity in digital model, digital shadow and digital twin modes[34]

    图  5  数字孪生五维概念模型[52]

    Figure  5.  Five-dimensional conceptual model of digital twins[52]

    图  6  基于仿真的数字孪生原理及其应用[59]

    Figure  6.  Principle and application of simulation-based digital twin[59]

    图  7  综采工作面数字孪生系统架构

    Figure  7.  Digital twin system architecture of fully mechanized working face

    图  8  综采工作面虚拟实体离线运行模式

    Figure  8.  Off-line run mode of virtual entities of fully mechanized working face

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出版历程
  • 收稿日期:  2022-05-30
  • 修回日期:  2022-07-08
  • 网络出版日期:  2022-08-09

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