[1] Gartner. Gartner’s Top 10 Strategic Technology Trends for 2019 [EB/OL]. [2018-10-15].https://www.gartner.com/ en/newsroom/press-releases/2018-10-15-gartner-identifies-the-top-10-strategic-technology-trends-for-2019. [2] Gartner. 2017 Hype Cycles Highlight Enterprise and Ecosystem Digital Disruptions[EB/OL]. [2017-09-26]. http://www.gartner.com/technology/research/hype-cycles. [3] Gartner. Gartner’s Top 10 Strategic Technology Trends for 2017[EB/OL]. [2017-09-25].http://www.gartner.com/ smarterwithgartner/gartners-top-10-technology-trends-2017. [4] 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. [5] 工四100术语编写组. 数字孪生(编号308)[EB/OL]. (2016-03-31) [2016-11-04]. http://www.hysim.cc/view. php?id=81. Editing Group for Terminology of Industry 4.0. Digital twin (NO.308) [EB/OL]. (2016-03-31) [2016-11-04]. http://www.hysim.cc/view.php?id=81. [6] GRIEVES M.Product lifecycle management: the new paradigm for enterprises[J]. International Journal of Product Development (S1477-9056), 2005, 2(1/2): 71. [7] GRIEVES M.Product lifecycle management - driving the next generation of lean thinking[M]. New York: McGraw-Hill Companies, 2006. [8] GRIEVES M. Digital twin: manufacturing excellence through virtual factory replication[EB/OL]. [2017-03-06]. http://innovate.fit.edu/plm/documents/doc_mgr/912/1411.0_Digital_Twin_White_Paper_Dr_Grieves.pdf. [9] Qi Q, Tao F, Zuo Y, et al.Digital Twin Service towards Smart Manufacturing[C]. 51st CIRP Conference on Manufacturing Systems. Procedia CIRP 72, 2018, 237-242. [10] Rosen R, von Wichert G, Lo G, et al. About the importance of autonomy and digital twins for the future of manufacturing[J]. IFACPapersOnLine (S2405-8963), 2015, 48(3): 567-572. [11] Tao F, Qi Q.New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems(S2168-2216), 2017, 49(1):81-91. [12] Uhlemann T, Lehmann C, Steinhilper R.TheDigital Twin: Realizing the Cyber-Physical Production System for Industry 4.0[C]. The 24th CIRP Conference on Life Cycle Engineering. Procedia CIRP 61, 2017: 335-340. [13] Tao F, Cheng J, Cheng Y, et al.SDMSim: a manufacturing service supply-demand matching simulator under cloud environment[J]. Robotics and computer-integrated manufacturing (S0736-5845), 2017, 45(6): 34-46. [14] GRIEVES M. Digital twin: manufacturing excellence through virtual factory replication[EB/OL]. [2017-03-06]. http://innovate.fit.edu/plm/documents/doc_mgr/912/1411.0_Digital_Twin_White_Paper_Dr_Grieves.pdf. [15] Lee J, Bagheri B, Kao H-A.A cyber-physical systems architecture for industry 4.0-based manufacturing systems[J]. Manuf Lett (S2213-8463), 2015,3(1):18-23. [16] 张霖, 周龙飞. 制造中的建模仿真技术[J]. 系统仿真学报, 2018, 30(6): 1997-2012. Zhang Lin, Zhou Longfei.Modeling & Simulation Technology in Manufacturing[J]. Journal of System Simulation, 2018, 30(6): 1997-2012. [17] Ray Y. Zhong, Xun Xu, Eberhard Klotz,et al. Newman. Intelligent Manufacturing in the Context of Industry 4.0: A Review[J]. Engineering (S2095-8099), 2017, 3(5): 616-630. [18] Qin J, Liu Y, Grosvenor R.A Categorical Framework of Manufacturing for Industry 4.0 and Beyond[J]. Procedia CIRP (S2212-8271), 2016, 52(1): 173-178. [19] 陶剑, 戴永长, 魏冉. 基于数字线索和数字孪生的生产生命周期研究[J]. 航空制造技术, 2017, 60(21): 26-31. Tao Jian, Dai Yongchang, Wei Ran.Study on Production Lifecycle Based on Digital Thread and Digital Twin[J]. Aerospace manufacturing technology, 2017, 60(21): 26-31. [20] Kraft E M.The US air force digital thread/digital twin-life cycle integration and use of computational and experimental knowledge[C]. Proceeding of 54th AIAA Aerospace Sciences Meeting. San Diego, California, USA, 2016: 8012-8033. [21] 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, 4(23): 753-768. Zhuang Cunbo, Liu Jianhua, Xiong Hui, et al.Connotation, architecture and trends of product digital twin[J]. Computer Integrated Manufacturing System, 2017, 4(23): 753-768. [22] 于勇, 范胜廷, 彭关伟, 等. 数字孪生模型在产品构型管理中应用探讨[J]. 航空制造技术, 2017,60(7): 41-45. Yu Yong, Fan Shengyan, Peng Guanwei, et al.Study on Application of Digital Twin Model in Product Configuration Management[J]. Aerospace manufacturing technology, 2017, 60(7): 41-45. [23] Qi Q, Tao F.Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison[J]. IEEE Access (S2169-3536), 2018, 6(6): 3585-3593. [24] M Sc Juhás P., M Sc Molnár K.Key Components of the Architecture of Cyber-Physical Mamufacturing Systems[J]. International Scientific Joural “Industry 4.0”(S2643-8582), 2017, 2(5): 205-207. [25] 韩枫, 李晓玲, 孙秀雯, 等. 智慧城市公共信息服务交互系统设计与实现[J]. 系统仿真学报, 2018, 30(5): 1893-1899. Han Feng, Li Xiaoling, Sun Xiuwen, et al.Design and Implementation of Human-computer Interactive System for Public Information Service in Smart City[J]. Journal of System Simulation, 2018, 30(5): 1893-1899. [26] Gabor T, Belzner L, Kiermeier M, et al.A Simulation Based Architecture for Smart Cyber-Physical Systems[C]// Proceedings of the IEEE International Conference on Autonomic Computing. Washington, D. C., USA: IEEE, 2016: 374-379. |