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Volume 51 Issue 3
Jul.  2021
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Article Contents
LIU Zhansheng, SHI Guoliang, SUN Jiajia. DIGITAL TWIN AND ITS APPLICATION IN INTELLIGENT CONSTRUCTION[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(3): 184-192. doi: 10.13204/j.gyjzG20081017
Citation: LIU Zhansheng, SHI Guoliang, SUN Jiajia. DIGITAL TWIN AND ITS APPLICATION IN INTELLIGENT CONSTRUCTION[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(3): 184-192. doi: 10.13204/j.gyjzG20081017

DIGITAL TWIN AND ITS APPLICATION IN INTELLIGENT CONSTRUCTION

doi: 10.13204/j.gyjzG20081017
  • Received Date: 2020-10-20
    Available Online: 2021-07-17
  • To promote the transformation and upgrading of construction industry, it was a key to the introduction and popularization of the Digital Twin in intelligent construction. Firstly, the related connotation, characteristics, development procedures and main application of Digital Twin was introduced, and the five characteristics and development trends of Digital Twin were summarized. The related connotations of intelligent construction, the characteristics of Digital Twin and intelligent construction were analyzed, and the relation between them were summarized. On the basis, the four key problems to be solved in the process of application of Digital Twin in intelligent construction were analyzed. In view of these problems, the framework of Digital Twin applied in the construction stage of intelligent construction was constructed, and the application contents and value of Digital Twin in each stage of intelligent construction were summarized, which could provide theoretical reference to related research and application in the future.
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  • MONOSTORI L, KÁDÁR B, BAUERNHANSL T, et al. Cyber-Physical Systems in Manufacturing[J]. CIRP Annals-Manufacturing Technology, 2016, 65(2):621-641.
    ROSEN R, VON WICHER G,LO G, et al.About the Importance of Autonomy and Digital Twins for the Future of Manufacturing[J].IFAC-Papers on Line, 2015, 48(3):567-572.
    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.
    董雷霆,周轩,赵福斌,等.飞机结构数字孪生关键建模仿真技术[J/OL].[2021-02-25].航空学报,http://kns.cnki.net/kcms/detail/11.1929.V.20200615.1314.016.html.
    李浩,王昊琪,程颖,等.数据驱动的复杂产品智能服务技术与应用[J].中国机械工程,2020,31(7):757-772.
    王建军,向永清,何正文.基于数字孪生的航天器系统工程模型与实现[J].计算机集成制造系统,2019,25(6):1348-1360.
    GRÉGORIO J L, LARTIGUE C, THIÉBAUT F, et al. A Digital Twin-Based Approach for the Management of Geometrical Deviations During Assembly Processes[J]. Journal of Manufacturing Systems,2020(5):1-10. DOI: 10.1016/j.jmsy.2020.04.020.
    樊启祥,陆佑楣,周绍武,等.金沙江水电工程智能建造技术体系研究与实践[J].水利学报,2019,50(3):294-304.
    吴建清,宋修广.智慧公路关键技术发展综述[J]. 山东大学学报(工学版),2020,50(4):52-69.
    KHOURY H, CHDID D, OUEIS R, et al. Infrastructureless Approach for Ubiquitous User Location Tracking in Construction Environments[J]. Automation in Construction, 2015, 56(8):47-66.
    CHOI S, MYEONG W, JEONG Y, et al. A Vision-Based 6-DOF Displacement Measurement Method for Assembling PC Bridge structures Using a Planar Marker[C]//4th International Conference on Robot Intelligence Technology and Applications. Bucheon:2017:501-509.
    GONG J, YU Y, KRISHNAMOORTHY R, et al. Real-Time Tracking of Concrete Vibration Effort for Intelligent Concrete Consolidation[J]. Automation in Construction, 2015, 54(1):12-24.
    张霖.关于数字孪生的冷思考及其背后的建模和仿真技术[J].系统仿真学报,2020,32(4):1-10.
    360个人图书馆.数字孪生白皮书[EB/OL].[2019-12-19].http://www.360doc.com/content/19/1219/21/54396214_880861990.shtml.
    刘大同,郭凯,王本宽,等.数字孪生枝术综述与展望[J].仪器仪表学报,2018,39(11):1-10.
    GRIEVES M. Digital Twin:Manufacturing Excellence Through Virtual Factory Replication[EB/OL].[2015-01-01]. http://www.apriso.com/library/Whitepaper_Dr_Grieves_Digital Twin_Manufacturing Excellence. Php.
    GRIEVES M. Product Lifecycle Management:the New Paradigm for Enterprises[J]. International Journal of Product Development, 2005,2(1/2):71-84.
    NEGRI E, FUMAGALLI L, MACCHI M. A Review of the Roles of Digital Twin in CPS-Based Production Systems[J]. Procedia Manufacturing, 2017(11):939-948.
    TUEGEL E J, INGRAFFEA A R, EASON T G, et al. Reengineering Aircraft Structural Life Prediction Using a Digital Twin[J/OL]. International Journal of Aerospace Engineering, 2011. https://doi.org/10.1155/2011/154798.
    TUEGEL E. The Airframe Digital Twin:Some Challenges to Realization[C]//AIAA/ASME/ASCE/AHS/ASC Structures. Structural Dynamics & Materials Conference AIAA/ASME/AHS Adaptive Structures Conference AIAA. Hawaii:2013.
    随阳,郭宏伟,田阳,等. 数字孪生工厂与航空发动机模型[C]//2018中国汽车工程学会年会论文集. 中国汽车工程学会,2018:1842-1847.
    郭东升,鲍劲松,史恭威,等.基于数字孪生的航天结构件制造车间建模研究[J].东华大学学报(自然科学版),2018,44(4):578-585,607.
    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.
    程恺.数字化工厂技术在锅炉智能制造中的应用[J].化工设计通讯,2020,46(6):69,82.
    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.
    RÍOS J, HERNÁNDEZ J C, OLIVA M, et al. Product Avatar as Digital Counterpart of a Physical Individual Product:Literature Review and Implications in an Aircraft[C]//22nd ISPE Inc. International Conference on Concurrent Engineering (CE2015). TU Delft:2015.
    BICOCCHI N, CABRI G, MANDREOLI F, et al. Dynamic Digital Factories for Agile Supply Chains:An Architectural Approach[J]. Journal of Industrial Information Integration, 2019(15):111-121.
    隋少春,许艾明,黎小华,等.面向航空智能制造的DT与AI融合应用[J].航空学报,2020,41(7):7-17.
    秦国梁,陈蓉,矫恒杰,等.锅炉压力容器焊接工艺及设备的发展现状[J].金属加工(热加工),2019(4):17-24.
    杜德林,黄洁,王姣娥.基于多源数据的中国智慧城市发展状态评价[J].地球信息科学学报,2020,22(6):1294-1306.
    甄峰,席广亮,秦萧.基于地理视角的智慧城市规划与建设的理论思考[J].地理科学进展,2015,34(4):402-409.
    中国信息通讯研究院.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]. http://www.sohu.com/a/231025717_354877.
    中国信息通讯研究院.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.
    张馨文,张春晓.虚拟地理环境在智慧城市中的研究与应用[J].测绘通报,2020(5):11-15,30.
    唐怀坤.下一个十年智慧城市发展的八大趋势[J].通信世界,2020(3):15-17.
    傅丽芳.基于BIM结合GIS的智能建筑测量仪器施工质量监测方法[J].自动化与仪器仪表,2020(6):132-135.
    韩佳,黄炳,钟子良.智能建筑火灾自动报警系统设计研究[J].信息与电脑(理论版),2019,31(24):53-55.
    罗钢,邢泽众,李欣宇,等.基于BIM的京杭运河枢纽港扩容提升工程绿色智能运维管理平台开发[J].建筑技术,2020,51(1):69-73.
    刘占省,张安山,王文思,等.数字孪生驱动的冬奥场馆消防安全动态疏散方法[J].同济大学学报(自然科学版),2020,48(7):962-971.
    岳璐.虚拟现实技术在室内装饰设计中的运用[J].工业建筑,2020,50(5):214.
    黄克华.基于互联网的室内VR智能创新设计[J].工业建筑,2020,50(1):215-216.
    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.
    刘占省,孙佳佳,杜修力,等智慧建造内涵与发展趋势及关键应用研究[J].施工技术,2019,48(24):1-7

    ,15.
    杨德钦, 岳奥博, 杨瑞佳. 智慧建造下工程项目信息集成管理研究:基于区块链技术的应用[J]. 建筑经济, 2019, 40(2):80-85.
    陶飞,戚庆林,王力翚,等.数字孪生与信息物理系统:比较与联系[J].Engineering,2019,5(4):132-149.
    买亚锋,张琪玮,沙建奇.基于BIM+物联网的智能建造综合管理系统研究[J].建筑经济,2020,41(6):61-64.
    刘占省,刘诗楠,赵玉红,等.智能建造技术发展现状与未来趋势[J].建筑技术,2019,50(7):772-779.
    丁烈云.智能建造创新型工程科技人才培养的思考[J].高等工程教育研究,2019(5):1-4,29. 勘误:2020年第11期,后彩插4,作者信息更改为"赵健祥,男,1983年

    出生,汉族,云南泸西县,本科,中交路桥南方工程有限公司,高级工程师。研究方向:道路桥梁。
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