Cross Level Switching Technology for Multi-resolution Model of Complex Products

doi:10.16182/j.issn1004731x.joss.21-1314

Abstract

Abstract:

In the R&D of complex products, different design stages have different design goals and different simulation tasks, which need different resolution complex products simulation models. The models and interfaces for the multi-resolution characteristics are defined and thus the resolution control mechanism is studied. The description mechanisms for the system structure status and model resolution state are established separately, the control mechanism for the system resolution is proposed, and a cross level switching technology is sorted out. The experimental results show that the method can effectively solve the problem of model resolution switching, which ensures the simulation accuracy, improves the simulation efficiency and saves the required simulation resources. The method has simple structure, and can be popularized in the future.

Key words: complex products, multi-resolution, model resolution, control mechanism, switching technology

CLC Number:

TP391.9

Wei Li, Wenjia Zhang, Heming Zhang. Cross Level Switching Technology for Multi-resolution Model of Complex Products[J]. Journal of System Simulation, 2022, 34(5): 944-953.

Figures/Tables 7

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References 25

[1]	范文慧, 肖田元. 复杂产品协同设计、仿真、优化一体化平台[J]. 科技导报, 2007, 25(4): 15-24.
	Fan Wenhui, Xiao Tianyuan. Integrated Platform for Collaborative Design, Simulation and Optimization of Complex Products[J]. Science & Technology Review, 2007, 25(4): 15-24.
[2]	Council N. Technology for the United States Navy and Marine Corps, 2000-2035 Becoming a 21st-Century Force: Volume 9: Modeling and Simulation[M]. 1997.
[3]	Kracke M A. Overview of the Advanced Manufacturing Partnership[C]//Aeromat 23 Conference and Exposition American Society for Metals. Charlotte, North Carolina USA: American Society for Metals: 2012.
[4]	Adamick J. A National Strategic Plan for Advanced Manufacturing[J]. Journal of Applied Clinical Pediatrics (S1003-515X), 2012, 35(5): 267-268.
[5]	姚咏, 范文慧, 熊光楞. 复杂产品开发过程仿真及其优化方法研究[J]. 系统仿真学报, 2006, 18(3): 726-730.
	Yao Yong, Fan Wenhui, Xiong Guangleng. Research on Simulation of Complex Product Development Process and Its Optimization Method[J]. Journal of System Simulation, 2006, 18(3): 726-730.
[6]	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 and Simulation Technology in Manufacturing[J]. Journal of System Simulation, 2018, 30(6): 1997-2012.
[7]	熊光楞, 范文慧, 陈晓波. 复杂产品开发的仿真技术[J]. 系统仿真学报, 2004, 16(2): 194-201.
	Xiong Guangleng, Fan Wenhui, Chen Xiaobo. Simulation Technology for Complex Product Development[J]. Journal of System Simulation, 2004, 16(2): 194-201.
[8]	刘宝宏, 黄柯棣. 多分辨率建模的研究现状与发展[J]. 系统仿真学报, 2004, 16(6): 1150-1154.
	Liu Baohong, Huang Kedi. Research Status and Development of Multi-Resolution Modeling[J]. Journal of System Simulation, 2004, 16(6): 1150-1154.
[9]	程旺迟, 许瑞明, 张最良. 多分辨率建模理论方法研究的现状与发展[J]. 军事运筹与系统工程, 2003(3): 58-61.
	Cheng Wangchi, Xu Ruiming, Zhang Zhuiliang. Research Status and Development of Multi-Resolution Modeling Theory and Method[J]. Military Operation Research and Systems Engineering, 2003(3): 58-61.
[10]	周小媛. 基于LVC的多分辨率模型聚合解聚关键技术研究[D]. 长沙: 国防科技大学, 2017.
	Zhou Xiaoyuan. Research on Key Technologies of Polymerization and Depolymerization Based on LVC Multi-Resolution Model[D]. Changsha: National University of Defense Technology, 2017.
[11]	闫雪飞, 李新明, 刘东, 等. 基于多分辨率的multi- Agent武器装备体系作战仿真研究[J]. 系统仿真学报, 2017, 29(1): 136-142, 153.
	Yan Xuefei, Li Xinming, Liu Dong, et al. Simulation Research on Systematic Operation of Multi-Agent Weapon Equipment Based on Multi-Resolution[J]. Journal of System Simulation, 2017, 29(1): 136-142, 153.
[12]	苟晨曦. 列车运行控制系统多分辨率建模理论与方法研究[D]. 北京: 北京交通大学, 2015.
	Gou Chenxi. Research on Multi-Resolution Modeling Theory and Method of Train Operation and Control System[D]. Beijing: Beijing Jiaotong University, 2015.
[13]	李浩钊. 基于多分辨率模型的城际铁路列控仿真培训系统研究[D]. 北京: 北京交通大学, 2019.
	Li Haozhao. Research on Train Control Simulation Training System of Intercity Railway Based on Multi-Resolution Model[D]. Beijing: Beijing Jiaotong University, 2019.
[14]	王荣泽. 常减压装置的多分辨率建模技术的思考[J]. 当代化工研究, 2017(12): 9-10.
	Wang Rongze. Thoughts on Multi-Resolution Modeling Technology of Atmospheric and Vacuum Distillation Unit[J]. Contemporary chemical research, 2017(12): 9-10.
[15]	吴文兵. 雷达信号处理系统多分辨率建模与仿真研究[D]. 成都: 电子科技大学, 2017.
	Wu Wenbing. Research on Multi-Resolution Modeling and Simulation of Radar Signal Processing System[D]. Chengdu: University of Electronic Science and Technology of China, 2017.
[16]	Benjamin P, Karen W, Max G. Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization[J]. SIAM Review (S0036-1445), 2018, 60(3): 550-591.
[17]	Davis P K. An Introduction to Variable-Resolution Modeling[J]. Naval Research Logistics (S0894-069X), 1995, 42(2): 151-181.
[18]	[1]Ringler T, Petersen M, Higdon R L, et al. A Multi-Resolution Approach to Global Ocean Modeling[J]. Ocean Modelling (S1463-5003), 2013, 69: 211-232.
[19]	Davis P K, Bigelow J H. Introduction to Multiresolution Modeling (MMR) with an Example Involving Precision Fires[J]. Proc Spie (S0277-786X), 1998.
[20]	Barros F J. Dynamic Structure Discrete Event System Specification: A new Formalism for Dynamic Structure Modeling and Simulation[C]//1995 Winter Simulation Conference. USA: IEEE, 1995: 781-785.
[21]	Uhrmacher A M. Dynamic Structures in Modeling and Simulation: A Reflective Approach[J]. Acm Transactions on Modeling & Computer Simulation (S1049-3301), 2001, 11(2): 206-232.
[22]	刘宝宏. 多分辨率建模的理论与关键技术研究[D]. 长沙: 国防科学技术大学, 2003.
	Liu Baohong. Research on the Theory and Key Technologies of Multi-Resolution Modeling[D]. Changsha: National University of Defense Technology, 2003.
[23]	李元. 多分辨率建模形式化与通用方法研究[D]. 北京: 北京航空航天大学, 2011.
	Li Yuan. Research on Formalization and General Method of Multi-Resolution Modeling[D]. Beijing: Beijing University of Aeronautics and Astronautics, 2011.
[24]	彭功状, 毛华超, 张和明. 基于组件的多分辨率动态结构建模与仿真[J]. 清华大学学报：自然科学版, 2016, 56(9): 974-979, 984.
	Peng Gongzhuang, Mao Huachao, Zhang Heming. Multi-Resolution Dynamic Structure Modeling and Simulation Based on Components[J]. Journal of Tsinghua University: Natural Science Edition, 2016, 56(9): 974-979, 984.
[25]	毛华超, 彭功状, 张和明, 等. 面向模型粒度控制的多分辨率建模方法[J]. 系统仿真学报, 2015, 27(11): 2630-2637.
	Mao Huachao, Peng Gongzhuang, Zhang Heming, et al. Multi-Resolution Modeling Method for Model Particle size Control[J]. Journal of System Simulation, 2015, 27(11): 2630-2637.