面向数字孪生的动态数据驱动建模与仿真方法

doi:10.3969/j.issn.1001-506X.2020.12.14

Abstract

Abstract:

Cyber-physical system (CPS) is a comprehensive technical system that supports the deep integration of information and industrialization. The classical modeling and simulation method fail to satisfy the application requirements of the CPS. Therefore, a digital twin oriented dynamic data driven modeling and simulation method is proposed, and a random finite set (RFS) is used to build the data driven simulation model of physical entities and sensors of CPS. The Bayesian inference based prediction and update method is proposed to run the CPS model. The proposed method can implement the virtual and real combined simulation running for digital twin very well. It can also enable the data driven model running, and improve the accuracy and credibility of simulation results by using the data from the real space. Finally, the feasibility and validity of the proposed method is certified by using the operational application cases of the surface ships.

Key words: cyber-physical system (CPS), dynamic data driven simulation, random finite set (RFS), digital twin

CLC Number:

Peng WANG, Mei YANG, Jiancheng ZHU, Rusheng JU, Ge LI. Dynamic data driven modeling and simulation method for digital twin[J]. Systems Engineering and Electronics, 2020, 42(12): 2779-2786.

Figures/Tables 8

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舰船	真实的转弯角速率/(rad/s)	偏差的转弯角速率/(rad/s)	开始时间/s	结束时间/s
舰船1	0.005 8	0.009 2	1	100
舰船2	0.005 8	0.009 2	1	80
舰船3	0.008 7	0.013 7	1	90
舰船4	0.008 7	0.013 7	30	100
舰船5	0.005 8	0.009 2	35	100
母船	0.004 4	0.006 9	1	50

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Dynamic data driven modeling and simulation method for digital twin

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