基于数字孪生的多维多尺度智能制造空间及其建模方法
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摘要
随着数字孪生、信息物理融合系统等新兴技术的发展,如何实现面向制造业应用的物理空间、信息空间与业务空间的多维融合已成为智能制造落地实施的关键。针对该问题,从逻辑关联的视角提出了多维多尺度智能制造空间的内涵与特征,并结合数字孪生技术的实现逻辑,研究了智能制造空间的虚实映射建模方法、复杂多维时空域下智能制造过程及数据建模方法。进一步,结合某叶轮的生产制造案例对所提出的建模方法进行了验证,证明了该建模方法的可行性和有效性,为实现智能制造空间多要素、多业务、多流程的实时同步仿真与虚实联动控制提供了支撑。
With the development of digital twin and Cyber-Physical System(CPS)technologies,how to build the cyber-physical-social space fusion model for the manufacturing industry has been the key factor to implement smart manufacturing mode.Aiming at this problem,a multi-dimensional and multi-scale Smart Manufacturing Space(SMS)model was defined,and the characteristics of SMS were analyzed.Combined with the realization logic of digital twin technology,the cyber-physical mapping modeling method of SMS and the smart manufacturing process and data modeling method were discussed.A case of impeller manufacturing was applied to verify the feasibility and efficiency of the proposed modeling methods.It was expected that the proposed method would provide the basis for the multi-role,multi-business and multi-process real-time synchronous simulation and cyber-physical interconnected control of SMS.
With the development of digital twin and Cyber-Physical System(CPS)technologies,how to build the cyber-physical-social space fusion model for the manufacturing industry has been the key factor to implement smart manufacturing mode.Aiming at this problem,a multi-dimensional and multi-scale Smart Manufacturing Space(SMS)model was defined,and the characteristics of SMS were analyzed.Combined with the realization logic of digital twin technology,the cyber-physical mapping modeling method of SMS and the smart manufacturing process and data modeling method were discussed.A case of impeller manufacturing was applied to verify the feasibility and efficiency of the proposed modeling methods.It was expected that the proposed method would provide the basis for the multi-role,multi-business and multi-process real-time synchronous simulation and cyber-physical interconnected control of SMS.
引文
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[2]DING Kai,JIANG Pingyu.Incorporating social sensors,cyber-physical system nodes,and smart products for personalized production in a social manufacturing environment[J].Proceedings of the Institution of Mechanical Engineers,Part B:Journal of Engineering Manufacture,2017,232(13):2323-2338.
[3]LI Bohu,ZHANG Lin,WANG Shilong,et al.Cloud manufacturing:a new service-oriented networked manufacturing model[J].Computer Integrated Manufacturing Systems,2010,16(1):1-7,16(in Chinese).[李伯虎,张霖,王时龙,等.云制造---面向服务的网络化制造新模式[J].计算机集成制造系统,2010,16(1):1-7,16.]
[4]HUANG G Q,WRIGHT P K,NEWMAN S T.Wireless manufacturing:a literature review,recent developments,and case studies[J].International Journal of Computer Integrated Manufacturing,2009,22(7):579-594.
[5]CHEN T,TSAI H R.Ubiquitous manufacturing:Current practices,challenges,and opportunities[J].Robotics and Computer-Integrated Manufacturing,2017,45:126-132.
[6]WANG X,ONG S K,NEE A Y C.A comprehensive survey of ubiquitous manufacturing research[J].International Journal of Production Research,2018,56(1/2):604-628.
[7]HOU Ruichun,DING Xiangqian,TAO Ye,et al.Internet of manufacturing things and relevant technical architecture[J].Computer Integrated Manufacturing Systems,2014,20(1):11-20(in Chinese)[侯瑞春,丁香乾,陶冶,等.制造物联及相关技术架构研究[J].计算机集成制造系统,2014,20(1):11-20.]
[8]YAO Xifan,LIAN Zhaotong,YANG Yi,et al.Wisdom manufacturing:a new humans-computers-things collaborative manufacturing model[J].Computer Integrated Manufacturing Systems,2014,20(6):1490-1498(in Chinese).[姚锡凡,练肇通,杨屹,等.智慧制造---面向未来互联网的人机物协同制造新模式[J].计算机集成制造系统,2014,20(6):1490-1498.]
[9]JIANG Pingyu,DING Kai,LENG Jiewu,et al.Service-driven social manufacturing paradigm[J].Computer Integrated Manufacturing Systems,2015,21(6):1637-1649(in Chinese).[江平宇,丁凯,冷杰武,等.服务驱动的社群化制造模式研究[J].计算机集成制造系统,2015,21(6):1637-1649.]
[10]DING Kai,JIANG Pingyu.RFID data analysis for production control in IoT-enabled smart job-shops[J].IEEE/CAAJournal of Automatica Sinica,2018,5(1):128-138.
[11]ZHONG R Y,HUANG G Q,LAN Shulin,et al.A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing[J].Advanced Engineering Informatics,2015,29(4):799-812.
[12]GUO Z X,NGAI E W T,YANG Can,et al.An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment[J].International Journal of Production Economics,2015,159:16-28.
[13]ZHANG Jie,GAO Liang,QIN Wei,et al.Big-data-driven operational analysis and decision-making methodology in intelligent workshop[J].Computer Integrated Manufacturing Systems,2016,22(5):1220-1228(in Chinese).[张洁,高亮,秦威,等.大数据驱动的智能车间运行分析与决策方法体系[J].计算机集成制造系统,2016,22(5):1220-1228.]
[14]YAO Xifan,ZHANG Jianming,LIN Yingzi.The basic theory nd technical framework for wisdom manufacturing systems[J].Systems Engineering-Theory&Practice,2016,36(10):2699-2711(in Chinese).[姚锡凡,张剑铭,Lin Yingzi.智慧制造系统的基础理论与技术体系[J].系统工程理论与实践,2016,36(10):2699-2711.]
[15]THRAMBOULIDIS K.A cyber-physical system-based approach for industrial automation systems[J].Computers in Industry,2015,72(C):92-102.
[16]FRANCALANZA E,BORG J,CONSTANTINESCU C.Aknowledge-based tool for designing cyber physical production systems[J].Computers in Industry,2017,84:39-58.
[17]ZHANG H,LIU Q,CHEN X,et al.A digital twin-based approach for designing and multi-objective optimization of hollow glass production line[J].IEEE Access,2017,5:26901-26911.
[18]DING Kai,CHAN Felix T S,ZHANG Xudong,et al.Defining a digital twin-based cyber-physical production system for autonomous manufacturing in smart shop floors[J].International Journal of Production Research,2019.DOI:10.1080/00207543.2019.1566661.
[19]WANG Tianran,KU Tao,ZHU Yunlong,et al.Smart manufacturing space[J].Information and Control,2017,46(6):641-645(in Chinese).[王天然,库涛,朱云龙,等.智能制造空间[J].信息与控制,2017,46(6):641-645.]
[20]LIU Lizhao,LIU Jian,LI Junyi,et al.Modeling method and application of multi-dimensional spatio-temporal for complex intelligent manufacturing[J].Journal of Beijing University of Technology,2019,45(1):35-46(in Chinese).[刘利钊,刘健,李俊祎,等.面向复杂智能制造的多维时空建模方法与应用[J].北京工业大学学报,2019,45(1):35-46.]
[21]CHEN Yuanfei,ZHU Zhenmin,LU Xiaowen.Modeling method for smart space based on cyber-physical space mapping[J].Journal of System Simulation,2013,25(2):216-219,227(in Chinese).[陈援非,朱珍民,鹿晓文.基于信息-物理空间映射的智能空间建模方法[J].系统仿真学报,2013,25(2):216-219,227.]
[22]WANG Chuang,JIANG Pingyu,DING Kai.A hybrid-dataon-tag enabled decentralized control system for flexible smart workpiece manufacturing shop floors[J].Proceeding of IMechE,Part C:Journal of Mechanical Engineering Science,2015,231(4):764-782.
[23]DING Kai,JIANG Pingyu,SUN Peilu,et al.RFID-enabled physical object tracking in process flow based on an enhanced graphical deduction modeling method[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2017,47(11):3006-3018.
[24]TAO Fei,CHENG Ying,CHENG Jiangfeng,et al.Theories and technologies for cyber-physical fusion in digital twin shop-floor[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.]
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