数字孪生五维模型及十大领域应用
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Five-dimension digital twin model and its ten applications
  • 作者:陶飞 ; 刘蔚然 ; 张萌 ; 胡天亮 ; 戚庆林 ; 张贺 ; 隋芳媛 ; 王田 ; 徐慧 ; 黄祖广 ; 马昕 ; 张连超 ; 程江峰 ; 姚念奎 ; 易旺民 ; 朱恺真 ; 张新生 ; 孟凡军 ; 金小辉 ; 刘中兵 ; 何立荣 ; 程辉 ; 周二专 ; 李洋 ; 吕倩 ; 罗椅民
  • 英文作者:TAO Fei;LIU Weiran;ZHANG Meng;HU Tianliang;QI Qinglin;ZHANG He;SUI Fangyuan;WANG Tian;XU Hui;HUANG Zuguang;MA Xin;ZHANG Lianchao;CHENG Jiangfeng;YAO Niankui;YI Wangmin;ZHU Kaizhen;ZHANG Xinsheng;MENG Fanjun;JIN Xiaohui;LIU Zhongbing;HE Lirong;CHENG Hui;ZHOU Erzhuan;LI Yang;LYU Qian;LUO Yimin;School of Automation Science and Electrical Engineering,Beihang University;School of Mechanical Engineering,Shandong University;RIAMB(Beijing)Technology Development Co.,Ltd.;China National Machine Tool Quality Supervision Testing Center;Shenyang Aircraft Design and Research Institute;Beijing Institute of Spacecraft Environment Engineering,China Academy of Space Technology;SIPPR Engineering Group Co.,Ltd.;No.55Research Institute of China North Industries Group Corporation;Beijing Aero-top Hi-Tech Co.,Ltd.;Beijing Aerospace Wanyuan Science&Technology Co.,Ltd.;Beijing Bicotest Technology Co.,Ltd.;Shanghai Aerospace Equipments Manufacturer;State Grid Electric Power Research Institute;Innovation Research Director of PV Cloud,State Grid Electronic Commerce Co.,Ltd.;Southest China Institute of Electronic Technology;National Research Center for Rehabilitation Technical Aids;
  • 关键词:数字孪生 ; 五维模型 ; 十大领域 ; 应用
  • 英文关键词:digital twin;;five-dimension digital twin model;;ten fields;;applications
  • 中文刊名:JSJJ
  • 英文刊名:Computer Integrated Manufacturing Systems
  • 机构:北京航空航天大学自动化科学与电气工程学院;山东大学机械工程学院;北自所(北京)科技发展有限公司;国家机床质量监督检验中心;沈阳飞机设计研究所;中国空间技术研究院北京卫星环境工程研究所;机械工业第六设计研究院有限公司;中国兵器工业集团第五五研究所;北京航天拓扑高科技有限公司;北京航天万源科技有限公司;北京必可测科技股份有限公司;上海航天设备制造总厂;国网电力科学研究院;国网电子商务有限公司光伏云事业部;中国电子科技集团第十研究所;国家康复辅具研究中心发展战略研究所;
  • 出版日期:2019-01-15
  • 出版单位:计算机集成制造系统
  • 年:2019
  • 期:v.25;No.249
  • 基金:国家自然科学基金面上基金资助项目(51875030);; 北京市科委计划资助项目(Z181100003118001)~~
  • 语种:中文;
  • 页:JSJJ201901001
  • 页数:18
  • CN:01
  • ISSN:11-5946/TP
  • 分类号:5-22
摘要
数字孪生(Digital Twin)作为践行智能制造、工业4.0、工业互联网、智慧城市等先进理念的使能技术与手段,近期备受学术界和企业界关注,尤其是数字孪生的落地应用更是关注热点。模型是数字孪生的基础与核心,而传统数字孪生三维模型已无法满足现阶段技术发展与应用需求。在此背景下,为推动数字孪生技术在相关领域和行业的进一步应用,在数字孪生车间研究过程中,提出了数字孪生五维模型的概念,以适应新需求。基于前期相关研究,在进一步阐述数字孪生五维模型后,结合相关合作企业实际应用需求,重点探讨了数字孪生五维模型在卫星/空间通信网络、船舶、车辆、发电厂、飞机、复杂机电装备、立体仓库、医疗、制造车间、智慧城市10个领域的应用思路与方案,以期为相关领域践行数字孪生理念与技术提供参考。
        As an enabling technology for implementing smart manufacturing,industrial 4.0,industrial internet and smart city,digital twin has received great attention from both academics and industry,especially its industrial applications.Model is the foundation and core of digital twin theories and technologies,but the traditional three-dimension digital twin model can no longer meet the new application requirements and technology development trends.To promote the application of digital twin in more fields,a five-dimension digital twin model was put forward in authors'previous research to digital twin shop-floor.In view of the new demands on digital twin and based on the previous research,a more systematic five-dimension digital twin model was presented.Furthermore,its applications in ten fields were discussed,including satellite/space communication network,ships,vehicles,power plant,aircraft,complex equipment,stereoscopic warehouse,medical,shop-floor and smart city,which could provide theoretical and methodological references for the application of digital twin in the future.
引文
[1]TAO F,ZHANG M,NEE A.Digital twin driven smart manufacturing[M].Amsterdam,the Netherlands:Elsevier,2019.
    [2]TAO Fei,ZHANG Meng,CHENG Jiangfeng,et al.Digital twin workshop:a new paradigm for future workshop[J].Computer Integrated Manufacturing Systems,2017,23(1):1-9(in Chinese).[陶飞,张萌,程江峰,等.数字孪生车间:一种未来车间运行新模式[J].计算机集成制造系统,2017,23(1):1-9.]
    [3]TAO F,CHENG J,QI Q,et al.Digital twin-driven product design,manufacturing and service with big data[J].The International Journal of Advanced Manufacturing Technology,2018,94(9/10/11/12):3563-3576.
    [4]TAO F,ZHANG M.Digital twin shop-floor:a new shop-floor paradigm towards smart manufacturing[J].IEEE Access,2017,5:20418-20427.
    [5]TAO Fei,CHENG Ying,CHENG Jiangfeng,et al.Theories and technologies for cyber-physical fusion in digital twin shopfloor[J].Computer Integrated Manufacturing Systems,2017,23(8):1603-1611(in Chinese).[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.]
    [6]TAO F,ZHANG H,LIU A,NEE A.Y.C.Digital twin in industry:state-of-the-art[J].IEEE Transactions on Industrial Informatics,2018,DOI:10.1109/TII.2018.2873186.
    [7]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(in Chinese).[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.]
    [8]TAO F,ZHANG M,LIU Y,et al.Digital twin driven prognostics and health management for complex equipment[J].CIRP Annals-Manufacturing Technology,2018,67(1):169-172.
    [9]TAO F,SUI F,LIU A,et al.Digital twin-driven product design framework[J].International Journal of Production Research,2018,DOI:10.1080/00207543.2018.1443229.
    [10]QI Q,ZHAO D,LIAO T W,et al.Modeling of cyber-physical systems and digital twin based on edge computing,fog computing and cloud computing towards smart manufacturing[C]//Proceedings of the 13th ASME International Manufacturing Science and Engineering Conference.New York,N.Y.,USA:American Society of Mechanical Engineers,2018:V001T05A018-V001T05A018.
    [11]QI Q,TAO F,ZUO Y,et al.Digital twin service towards smart manufacturing[J].Procedia CIRP,2018,72:237-242.
    [12]QI Q,TAO F.Digital twin and big data towards smart manufacturing and industry 4.0:360degree comparison[J].IEEEAccess,2018,6:3585-3593.
    [13]TAO F,CHENG J,QI Q.IIHub:an industrial Internet-ofThings hub towards smart manufacturing based on cyberphysical system[J]IEEE Transactions on Industrial Informatics,2018,14(5):2271-2280.
    [14]ZHANG M,ZUO Y,TAO F.Equipment energy consumption management in digital twin shop-floor:a framework and potential applications[C]//Proceedings of the 15th IEEE International Conference on Networking,Sensing and Control(ICNSC).Piscataway,N.J.,USA:IEEE,2018:1-5.
    [15]TAO F,QI Q,LIU A,et al.Data-driven smart manufacturing[J].Journal of Manufacturing System,2018,48:157-169.
    [16]ZHUANG Cunbo,LIU Jianhua,XIONG Hui,et al.Connotation,architecture and trends of product digital twin[J].Computer Integrated Manufacturing Systems,2017,23(4):753-768(in Chinese).[庄存波,刘检华,熊辉,等.产品数字孪生体的内涵、体系结构及其发展趋势[J].计算机集成制造系统,2017,23(4):753-768.]
    [17]GRIEVES M,VICKERS J.Digital twin:mitigating unpredictable,undesirable emergent behavior in complex system[M]//Trans-disciplinary Perspectives on Complex Systems.Berlin,Germany:Springer-Verlag,2017.
    [18]GLAESSGEN E,STARGEL D.The digital twin paradigm for future NASA and U.S.air force vehicles[C]//Proceedings of the 53rd AIAA/ASME/ASCE/AHS/ASC Structures,Structural Dynamics and Materials Conference.Reston,Va.,USA:AIAA,2012:7274-7260.
    [19]TUEGEL E J,INGRAFFEA A R,Eason T G,et al.Reengineering aircraft structural life prediction using a digital twin[J].International Journal of Aerospace Engineering,2011,2011:1-14.
    [20]LIU Yawei.Lockheed Martin used digital twin to speed up production of F-35[EB/OL].(2017-12-27).http://www.sohu.com/a/212980157_613206,2017-12-27(in Chinese).[刘亚威.美国洛马公司利用数字孪生提速F-35战斗机生产[EB/OL].(2017-12-27).http://www.sohu.com/a/212980157_613206,2017-12-27.]
    [21]SIEMENS.For a digital twin of the grid Siemens solution enables a single digital grid model of the Finnish power system[EB/OL].https://www.siemens.com/press/pool/de/events/2017/corporate/2017-12-innovation/inno2017-digitaltwin-e.pdf,2017.
    [22]SWEDBERG C.Digital twins bring value to big RFID and IoT data[EB/OL].http://www.rfidjournal.com/articles/view?17421.
    [23]Wired Brand Lab.Digital twin:bridging the physical-digital divide[EB/OL].https://www.ibm.com/blogs/internet-ofthings/iot-digital-twin-enablers/
    [24]Dr.Hempel Digital Health Network.Healthcare solution testing for future|digital twins in healthcare.[EB/OL].(2017-12-29).https://www.dr-hempel-network.com/digital-health-technolgy/digital-twins-in-healthcare/.
    [25]DNVGL.Digital twin at work.[EB/OL].https://www.dnvgl.com/feature/digital-twins.html.
    [26]ALAM K M,SADDIK A.C2PS:A digital twin architecture reference model for the cloud-based cyber-physical systems[J].IEEE Access,2017,5:2050-2062.
    [27]ROMELFANGER M,KOLICH M.Comfortable automotive seat design and big data analytics:A study in thigh support[J].Applied Ergonomics,2019,75:257-262.
    [28]YAN J,MENG Y,Lu L,et al.Big-data-driven based intelligent prognostics scheme in industry 4.0environment[C]//Proceedings of 2017Prognostics and System Health Management Conference.Piscataway,N.J.,USA:IEEE,2017:1-5.
    [29]KUO Y,LEUNG J,TSOI K,et al.Embracing big data for simulation modelling of emergency department processes and activities[C]//Proceedings of 2015IEEE International Congress on Big Data.Washington.D.C.,USA:IEEE,2015:313-316.
    [30]UM J,WAYER S,QUINT F.Plug-and-simulate within modular assembly line enabled by digital twins and the use of automation ML[J].IFAC-Papers on Line,2017,50(1):15904-15909.
    [31]ZHANG H,LIU Q,CHEN X.A digital twin-based approach for designing and multi-objective optimization of hollow glass production line[J].IEEE Access,2017,5:26901-26911.
    [32]SCHROEDER G N,STEINMETZ C,PEREIRA C E,et al.Digital twin data modeling with automation ML and a communication methodology for data exchange[J].IFAC-Papers On Line,2016,49(30):12-17.
    [33]HU L,NGUYEN N T,TAO W,et al.Modeling of cloudbased digital twins for smart manufacturing with MT Connect[J].Procedia Manufacturing,2018,26:1193-1203.
    [34]YUN S,PARK J H,KIM W T.Data-centric middleware based digital twin platform for dependable cyber-physical systems[C]//Proceedings of the 9th International Conference on Ubiquitous and Future Networks(ICUFN).Washington,D.C.,USA:IEEE,2017:922-926.
    [35]GE Renewable Energy.Digital wind farm-the next evolution of wind energy[EB/OL].Phttps://www.ge.com/content/dam/gepower-renewables/global/en_US/downloads/brochures/digital-wind-farm-solutions-gea31821b-r2.pdf.
    [36]BESCH H M.Large aircraft landing gears-a brief overview[C]//Proceedings of the 6th International Munich Chassis Symposium 2015.Berlin,Germany:Springer-Verlag,2015:685-715.
    [37]KURUPPU K A D D,HETTIARACHCHI C J.Case study on aircraft tyre wear in Y12aircraft tyres[J].The Aeronautical Journal,2018,122(1253):1-22.
    [38]HOU Zengguang,ZHAO Xingang,CHENG Long,et.al.Recent advances in rehabilitation robots and intelligent assistance systems[J].Acta Automatica Sinica,2016,42(12):1765-1779(in Chinese).[侯增广,赵新刚,程龙,等.康复机器人与智能辅助系统的研究进展[J].自动化学报,2016,42(12):1765-1779.]
    [39]China Academy of Information and Communication.What would digital twin city of Xiongan be like in the future?Let's take a look at the sample in reality.[EB/OL].(2018-05-08).https://www.sohu.com/a/231025717_354877,2018-05-08(in Chinese).[中国信息通信研究院CAICT.雄安数字孪生城市和智能城市长啥样?来看看现实的样板……[EB/OL].(2018-05-08).https://www.sohu.com/a/231025717_354877,2018-05-08.]
    [40]China Academy of Information and Communication.The 3rd seminar on digital twin city was held in Beijing.[EB/OL].(2018-06-25).http://www.caict.ac.cn/xwdt/ynxw/201806/t20180625_175807.htm,2018-06-25(in Chinese).[中国信息通信研究院CAICT.数字孪生城市第三次研讨会在京召开[EB/OL].(2018-06-25).http://www.caict.ac.cn/xwdt/ynxw/201806/t20180625_175807.htm,2018-06-25.]
    [41]Flying Strategic Battalion.City's brain:exploration of digital twin city[EB/OL].(2018-06-28).https://yq.aliyun.com/articles/603873,2018-06-28(in Chinese).[飞天战略营.城市大脑:探索“数字孪生城市”[EB/OL].(2018-06-28).https://yq.aliyun.com/articles/603873,2018-06-28.]
    [42]Dassault Systèmes.Meet virtual Singapore,the city's 3Ddigital twin[EB/OL].https://govinsider.asia/digital-gov/meet-virtual-singapore-citys-3d-digital-twin/.
    [43]CHATHA A.Smart cities sparking innovation in digital twin visualization platforms[EB/OL].https://industrial-iot.com/2017/05/smart-cities-digital-twin-visualization-platforms/.
    [44]CARLOS G.Breaking down the digital twin with IBM[EB/OL].(2018-04-16).http://www.machinedesign.com/mechanical/breaking-down-digital-twin-ibm,2018-04-16.