Research on Digital Twin Credibility Assessment Process and Index

doi:10.16182/j.issn1004731x.joss.21-1043

Abstract

Abstract:

With the application field expansion of digital twin technology, in order to meet the requirement of digital twin credibility and promote the digital twin credibility assessment, the credibility assessment process and indicators of digital twin are researched. The development process of digital twin is analyzed and the construction method of flexible multi-layer digital twin credibility assessment process model based on IDEF0 is proposed. Two index systems, process-stage-activity layers(P-S-A) and activity-element-feature layers(A-E-F),are proposed to solve the problems of defect backtracking and evaluation of complex objects. Several examples of index system are given.

Key words: digital twin, credibility assessment, integrated computer aided manufacturing-definition method (IDEF0), process model, index system

CLC Number:

TP391.9

Fan Yang, Ping Ma, Wei Li, Ming Yang. Research on Digital Twin Credibility Assessment Process and Index[J]. Journal of System Simulation, 2023, 35(2): 350-358.

Figures/Tables 10

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References 20

1	Glaessgen E, Stargel D. The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles[C]//Collection of Technical Papers-AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. NY: AIAA International, 2012.
2	Hochhalter J, Leser W, Newman J, et al. Coupling Damage-Sensing Particles to the Digitial Twin Concept. [R]. Hampton, VA: NASA Langley Research Center, 2014.
3	耿建光, 姚磊, 闫红军. 数字孪生概念、模型及其应用浅析[J]. 网信军民融合, 2019(2): 60-63.
4	田锋, 段海波, 杨振亚, 等. 数字孪生体技术白皮书(2019)[R]. 北京: 安世亚太数字孪生体实验室, 2019.Tian Feng, Duan Haibo, Yang Zhenya,et al. White Paper on Digital Twin Technology(2019)[R]. Beijing: Anshi Asia-Pacific Digital Twin Laboratory, 2019.
5	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.
	Tao Fei, Liu Weiran, Zhang Meng, et al. Digital Twin Five-Dimensional Model and Application in Ten Major Fields[J]. Computer Integrated Manufacturing System, 2019, 25(1): 1-18.
6	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 Mode of Workshop Operation in the Future[J]. Computer Integrated Manufacturing System, 2017, 23(1): 1-9.
7	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, 23(4): 753-768.
	Zhuang Cunbo, Liu Jianhua, Xiong Hui, et al. Connotation, Architecture and Trends of Product Digital Twin[J]. Computer Integrated Manufacturing System, 2017, 23(4): 753-768.
8	王胜任, 郭岩, 乔兴华, 等. 基于数字孪生的飞机装配工艺技术研究[J]. 组合机床与自动化加工技术, 2021(8): 131-134.
	Wang Shengren, Guo Yan, Qiao Xinghua, et al. Research on Assembly Process Technology Based on Digital Twin[J]. Modular Machine Tool and Automatic Processing Technology, 2021(8): 131-134.
9	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.
	Guo Dongsheng, Bao Jinsong, Shi Gongwei, et al. Research on Modeling of Aerospace Structural Parts Manufacturing Workshop Based on Digital Twin[J]. Journal of Donghua University(Natural Science), 2018, 44(4): 578-585, 607.
10	曾艾婧, 刘永姜, 陈跃鹏, 等. 基于数字孪生的物流配送调度优化[J]. 科学技术与工程, 2021, 21(21): 9005-9011.
	Zeng Aijing, Liu Yongjiang, Chen Yuepeng, et al. Optimization of Logistics Distribution Scheduling Based on Digital Twins[J]. Science Technology and Engineering, 2021, 21(21): 9005-9011.
11	Wang S, Lai X, He X, et al. Building a Trustworthy Product-level Shape-performance Integrated Digital Twin with Multi-fidelity Surrogate Model[J]. Journal of Mechanical Design(S1050-0472), 2022, 144(3):031703.
12	Grieves M, Vickers J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems[M]. Switzerland: Springer International Publishing, 2017.
13	陶飞, 张贺, 戚庆林, 等. 数字孪生模型构建理论及应用[J]. 计算机集成制造系统, 2021, 27(1): 1-15. DOI:10.13196/j.cims.2021.01.001 .
	Tao Fei, Zhang He, Qi Qinglin, et al. Theory and Application of Digital Twin Model Construction[J]. Computer Integrated Manufacturing System, 2021, 27(1): 1-15. DOI: 10.13196/j.cims.2021.01.001 .
14	Mujber T S, Szecsi T, Hashmi M. Virtual Reality Applications in Manufacturing Process Simulation[J]. Journal of Materials Processing Technology(S0924-0136), 2004, 155: 1834-1838.
15	崔玮. 基于数字样机的大型飞机装配工艺评估与优化研究[D]. 合肥: 合肥工业大学, 2012: 7-29.
	Cui Wei. Research on Assembly Process Evaluation and Optimization of Large Aircraft Based on Digital Prototype[D]. Hefei: Hefei University of Technology, 2012: 7-29.
16	冯昊天. 薄壁零件柔性装配线数字孪生模型构建[D]. 北京: 北京信息科技大学, 2021. DOI:10.26966/d.cnki.gbjjc.2021.000023 .
	Feng Haotian. Construction of Digital Twin Model for Flexible Assembly Line of Thin-Walled Parts[D]. Beijing: Beijing University of Information Science and Technology, 2021. DOI: 10.26966/d.cnki.gbjjc.2021.000023 .
17	Grieves M. Virtually Perfect: Driving Innovative and Lean Products through Product Lifecycle Management [M]. Florida: Space Coast Press, 2011: 79-80.
18	孙世霞. 复杂大系统建模与仿真的可信性评估研究[D]. 长沙: 国防科学技术大学, 2005: 56-63.
	Sun Shixia. Research on Reliability Evaluation of Complex Large System Modeling and Simulation[D]. Changsha: National University of Defense Technology, 2005: 56-63.
19	任伟, 崔学淼, 卢继平, 等. 航天数字化车间评价指标体系研究[J]. 江汉大学学报(自然科学版), 2019, 47(4): 306-313.
	Ren Wei, Cui Xuemiao, Lu Jiping, et al. Research on the Evaluation Index System of Aerospace Digital Workshop[J]. Journal of Jianghan University(Natural Science Edition), 2019, 47(4): 306-313.
20	Negri E, Fumagalli L, Macchi M. A Review of the Roles of Digital Twin in CPS-Based Production Systems[J]. Procedia Manufacturing(S2351-9789), 2017, 11: 939-948.

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