New Embedded Simulation Technology for Smart Internet of Things

doi:10.16182/j.issn1004731x.joss.22-0119

Abstract

Abstract:

Human society in the new development era and journey is facing the new situation. The operation paradigm, technology and ecosystem of industries related to the national economy and people's livelihood、national security are changing significantly towards the digital, networked, cloud-based and intelligent "Smart Internet of Things". The new embedded simulation technology, with the capabilities of online and continuous analysis, cognition, learning, decision-making, operation and optimization,is urgently needed for the development of "Smart Internet of Things". "Smart Internet of Things" is briefly introduced and the connotation, characteristics and application mode of the new embedded simulation technology are proposed and its architecture, technical system and nine key technologies are systematically discussed. The application examples on the industries of intelligent manufacturing, smart city and military intelligence are introduced. The achievements are summarized and the development suggestions are proposed.

Key words: Smart IoT, modelling and simulation, embedded simulation, pervasive simulation, cloud simulation, high performance simulation, cyber-physical systems, digital twin

CLC Number:

TP391.9

Bohu Li, Xudong Chai, Lin Zhang, Duzheng Qing, Guoqiang Shi, Tingyu Lin, Liqin Guo, Chen Yang, Mu Gu, Zhengxuan Jia, Hui Gong, Zhen Tang. New Embedded Simulation Technology for Smart Internet of Things[J]. Journal of System Simulation, 2022, 34(3): 419-441.

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References 40

1	李伯虎. 面向云制造系统3.0工程的建模与仿真技术研究与实践[R]. 北京: 北京仿真中心成立30周年学术交流会, 2021.
	Li Bohu. Research and Practice of Modeling and Simulation Technology for Cloud Manufacturing System 3.0 Engineering[R]. Beijing: Symposium for Beijing Simulation Center 30th Anniversary, 2021.
2	李伯虎. "智慧物联网"——一种适应新时代、新态势、新征程的新型物联网[R]. 北京: 第六届世界物联网大会, 2021.
	Li Bohu. "Smart Internet of Things" ⁃ A New Type of Internet of Things Adapting to the New Era, New Situation and New Journey[R]. Beijing: The 6th World Internet of Things Conference, 2021.
3	Bahr H. Embedded Simulation for Ground Vehicles[C]// Spring 97 Simulation Interoperability Standards Workshop Proceedings. Florida, USA: SISO, 1997.
4	Brutzman D P, Fitzpatrick C. Creating Virtual Environments for Evaluating Human-Machine Teaming[D]. Monterey California: Naval Postgraduate School, 2020.
5	万明, 樊晓光, 禚真福, 等. 美军ACMI关键技术及发展趋势[J]. 电光与控制, 2015, 22(1): 62-66.
	Wan Ming, Fan Xiaoguang, Gao Zhenfu, et al. Key Technologies and Development Trend of USAF ACMI[J]. Electronics Optics & Control, 2015, 22(1): 62-66.
6	樊世友, 朱元昌. 嵌入式仿真研究[J]. 计算机仿真, 2005, 22(12): 10-13.
	Fan Shiyou, Zhu Yuanchang. Embedded Simulation[J]. Computer Simulation, 2005, 22(12): 10-13.
7	仇小光, 陶建锋, 张秦, 等. 雷达系统嵌入式仿真研究[J]. 现代防御技术, 2009, 37(1): 143-148.
	Qiu Xiaoguang, Tao Jianfeng, Zhang Qin, et al. Embedded Simulation of Radar System[J]. Modern Defence Technology, 2009, 37(1): 143-148.
8	周国平, 袁利国, 高宜朋, 等. 舰船动力装置实船嵌入式仿真训练系统[J]. 舰船科学技术, 2013, 35(5): 74-78.
	Zhou Guoping, Yuan Liguo, Gao Yipeng, et al. Research on Embedded on-Board Simulated Training System of Marine Power Plant[J]. Ship Science and Technology, 2013, 35(5): 74-78.
9	唐震, 李伯虎, 柴旭东, 等. 普适化仿真网格研究[J]. 计算机集成制造系统, 2008, 14(7): 1313-1321.
	Tang Zhen, Li Bohu, Chai Xudong, et al. Pervasive Simulation Grid[J]. Computer Integrated Manufacturing Systems, 2008, 14(7): 1313-1321.
10	Gill H. NSF Perspective and Status on Cyber-Physical Systems: NSF Workshop on Cyber-Physical Systems[M]. Austin, TX, USA: National Science Foundation, 2006.
11	Parrott A, Warshaw L. Industry 4.0 and the Digital Twin: Manufacturing Meets its Match[M]. Dallas: Deloitte University Press, 2017.
12	Wang Shiyong, Wan Jiafu, Zhang Daqiang, et al. Towards Smart Factory for Industry 4.0: a Self-Organized Multi-Agent System with Big Data Based Feedback and Coordination[J]. Computer Networks (S1389-1286), 2016, 101(4): 158-168.
13	国务院. 国务院关于深化制造业与互联网融合发展的指导意见(国发〔2016〕28号) [EB/OL]. (2016-05-20)[2021-12-11]. .
	Council State. Guiding Opinions of the State Council on Deepening the Integrated Development of Manufacturing Industry and Internet: the No.28 Document Issued by the State Council in 2016 [EB/OL]. (2016-05-20)[2021-12-11]. .
14	Zhou Ji, Zhou Yanhong, Wang Baicun, et al. Human-Cyber-Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing[J]. Engineering (S2095-8099), 2019, 5(4): 624-636.
15	Grieves M. Digital Twin: Manufacturing Excellence through Virtual Factory Replication White paper[R]. Melbourne: US Florida Institute of Technology, 2014.
16	Kamble Sachin S, Gunasekaran Angappa, Parekh Harsh, et al. Digital Twin for Sustainable Manufacturing Supply Chains: Current Trends, Future Perspectives, and an Implementation Framework[J]. Technological Forecasting and Social Change (S0040-1625), 2022, 176(11): 121448.
17	Negri E, Fumagalli L, Macchi M. A Review of the Roles of Digital Twin in CPSbased Production Systems[J]. Procedia Manuf (S2351-9789), 2017, 11: 939–948.
18	Glaessgen E, Stargel D. The Digital Twin Paradigm for Future NASA and US Air Force Vehicles[C]// 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Honolulu, HI, USA. Reston: American Institute of Aeronautics and Astronautics, 2012: 1818.
19	高星海. 从基于模型的定义(MBD)到基于模型的企业(MBE)——模型驱动的架构:面向智能制造的新起点[J]. 智能制造, 2017(5): 25-28.
	Gao Xinghai. From MBD to MBE--Model Driven Architecture: the New Starting Point for Intelligent Manufacturing[J]. IM(Intelligent Manufacturing), 2017(5): 25-28.
20	Gao Yinping, Chang Daofang, Chen Chun-Hsien, et al. Design of Digital Twin Applications in Automated Storage Yard Scheduling[J]. Advanced Engineering Informatics (S1474-0346), 2022, 51(2): 101477.
21	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.
	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.
22	王巍, 刘永生, 廖军, 等. 数字孪生关键技术及体系架构[J]. 邮电设计技术, 2021(8): 10-14.
	Wang Wei, Liu Yongsheng, Liao Jun, et al. Key Technology and Architecture of Digital Twin[J]. Designing Techniques of Posts and Telecommunications, 2021(8): 10-14.
23	李伯虎, 柴旭东, 李潭, 等. 复杂系统高效能仿真技术研究[J]. 中国电子科学研究院学报, 2012, 7(3): 221-228, 245.
	Li Bohu, Chai Xudong, Li Tan, et al. Research on High-Efficiency Simulation Technology of Complex System[J]. Journal of China Academy of Electronics and Information Technology, 2012, 7(3): 221-228, 245.
24	Li Bohu, Chai Xudong, Lin Tingyu, et al. Cyber-Physical System Engineering Oriented Intelligent High Performance Simulation Cloud[M]. Cham: Springer Nature Switzerland AG, 2020.
25	邹萍, 张华, 马凯蒂, 等. 面向边缘计算的制造资源感知接入与智能网关技术研究[J]. 计算机集成制造系统, 2020, 26(1): 40-48.
	Zou Ping, Zhang Hua, Ma Kaidi, et al. Perception and Access of Manufacturing Resource and Intelligent Gateway Technology for Edge Computing[J]. Computer Integrated Manutaturing Systems, 2020, 26(1): 40-48.
26	Yang Chen, Lan Shulin, Shen Weiming, et al. Towards Product Customization and Personalization in IoT-enabled Cloud Manufacturing[J]. Cluster Computing (S1386-7857), 2017, 20: 1717-1730.
27	唐震, 李伯虎, 柴旭东, 等. 普适化仿真网格中仿真服务迁移技术的研究[J]. 系统仿真学报, 2009, 21(12): 3631-3636, 3640.
	Tang Zhen, Li Bohu, Chai Xudong, et al. Studies on Simulation Service Migration Technologies in Pervasive Simulation Grid[J]. Journal of System Simulation, 2009, 21(12): 3631-3636, 3640.
28	唐震, 李伯虎, 柴旭东. 上下文感知在普适化仿真网格中的应用[J]. 计算机集成制造系统, 2008(8): 1550-1558.
	Tang Zhen, Li Bohu, Chai Xudong. Application of Context-Awareness in Pervasive Simulation Grid[J]. Computer Integrated Manutaturing Systems, 2008(8): 1550-1558.
29	Li Bohu, Shi Guoqiang, Lin Tingyu, et al. Smart Simulation Cloud (Simulation Cloud 2.0)—The Newly Development of Simulation Cloud[C]// 18th Asia Simulation Conference. Singapore: Springer, 2018: 168-185.
30	Guo Liqin, Wang Mei, Ruan Chao, et al. A Cloud Simulation Based Environment for Multi-Disciplinary Collaborative Simulation and Optimization[C]// IEEE International Conference on Computer Supported Cooperative Work in Design. Piscataway, NJ: IEEE, 2017.
31	Yang Chen, Shen Weiming, Lin Tingyu, et al. A Hybrid Framework for Integrating Multiple Manufacturing Clouds[J]. The International Journal of Advanced Manufacturing Technology (S1433-3015), 2016, 86(1): 895-911.
32	蔡继红, 卿杜政, 谢宝娣. 支持LVC互操作的分布式联合仿真技术研究[J]. 系统仿真学报, 2015, 27(1): 93-97.
	Cai Jihong, Duzheng Qing, Xie Baodi. Research of Joint Simulation Platform Supporting Interoperability of LVC[J]. Journal of System Simulation, 2015, 27(1): 93-97.
33	Lin Tingyu, Shi Guoqiang, Yang Chen, et al. Efficient Container Virtualization-Based Digital Twin Simulation of Smart Industrial Systems[J]. Journal of Cleaner Production (S0959-6526), 2020, 281(4): 124443.
34	Yang Chen, Chi Peng, Song Xiao, et al. An Efficient Approach to Collaborative Simulation of Variable Structure Systems on Multi-Core Machines[J]. Cluster Computing (S1573-7543), 2016, 19(1): 29-46.
35	Lin Tingyu, Jia Zhengxuan, Yang Chen, et al. Evolutionary Digital Twin: A New Approach for Intelligent Industrial Product Development[J]. Advanced Engineering Informatics (S1474-0346), 2021, 47(2): 101209.
36	李伯虎, 林廷宇, 贾政轩, 等. 智能工业系统智慧云设计技术[J]. 计算机集成制造系统, 2019, 25(12): 3090-3102.
	Li Bohu, Lin Tingyu, Jia Zhengxuan, et al. Smart Cloud Design Technology Applied to Intelligent Industrial System[J]. Computer Integrated Manutaturing Systems, 2019, 25(12): 3090-3102.
37	林廷宇, 肖莹莹, 贾政轩, 等. 一种模型驱动自主演进智能设计方法: 中国, 202111323785.2 [P]. 2021-11-10(patent application accepted).
	Lin Tingyu, Xiao Yingying, Jia Zhengxuan, et al. A Intelligent Design Method for Self-Adaptive Evolution: China, 202111323785.2[P]. 2021-11-10.
38	林廷宇, 李伯虎, 肖莹莹. 一种基于机器学习和平行仿真的高级计划与排程方法: 中国, ZL201810092577.8[P]. 2018-07-06.
	Lin Tingyu, Li bohu, Xiao Yingying. An Adaptive Plan and Scheduling Method Based on Machine Learning and Parallel Simulation: China, ZL201810092577.8[P]. 2018-07-06.
39	林廷宇, 贾政轩, 曾贲, 等. 一种基于人机混合增强的复杂产品自主构建方法和模块: 中国, 202010841483.3[P]. 2020-12-11(patent application accepted).
	Lin Tingyu, Jia Zhengxuan, Zeng Bi, et al. An Autonomous Construction Method and Module for Complex Products Based on Human-Machine Hybrid Enhancement: China, 202010841483.3[P]. 2020-12-11.
40	马静, 卿杜政, 费锦东, 等. 浅谈复杂电磁环境建模与仿真技术[C]// 第七届军事信息系统软件仿真学术研讨会, 北京:中国电子学会电子系统工程分会, 2010: 17-25.
	Ma Jing, Duzheng Qing, Fei Jindong, et al. Brief Talk on Modeling and Simulation Technology of Complex Electromagnetic Environment[C]// The 7th Military Information System Software Simulation Symposium, Beijing: Electronic System Engineering Branch of China Electronics Society, 2010: 17-25.

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