冯昊天,王红军,常城,杨俊峰.基于数字孪生的柔性生产线状态感知[J].电子测量与仪器学报,2021,35(2):17-24 |
基于数字孪生的柔性生产线状态感知 |
State perception of flexible production line based on digital twin |
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DOI: |
中文关键词: 数字孪生 柔性生产线 OPC UA 状态感知 |
英文关键词:digital twin flexible production line OPC UA state perception |
基金项目:国家自然科学基金(51975058)项目资助 |
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Author | Institution |
Feng Haotian | 1School of Mechanical Electrical Engineering, Beijing Information Science & Technology University, Beijing 100192, China; |
Wang Hongjun | 1School of Mechanical Electrical Engineering, Beijing Information Science & Technology University, Beijing 100192, China;2Beijing International Science Cooperation base of highend equipment intelligent Perception and Control, Beijing 100192, China;3Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science |
Chang Cheng | 1School of Mechanical Electrical Engineering, Beijing Information Science & Technology University, Beijing 100192, China; |
Yang Junfeng | 1School of Mechanical Electrical Engineering, Beijing Information Science & Technology University, Beijing 100192, China; |
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中文摘要: |
柔性生产线的数字孪生可以实现柔性生产过程运行状态的实时感知,并利用孪生数据优化生产。为此,提出了一种基于数字孪生的柔性生产线状态感知方法。首先建立了该方法的体系架构,并对系统实现中的3大关键技术,基于Unity 3D的数字孪生模型搭建、基于OPC UA的异构设备数据实时获取及基于孪生模型的状态感知分别进行了详细论述。最后,基于某柔性生产车间进行了试验验证,实现了状态感知及故障诊断,验证了所提方法的可行性与有效性,为柔性生产线状态感知的实现提供了有效的解决方案。 |
英文摘要: |
The digital twin of flexible production line can realize the real time perception of the operation state of flexible production process, and optimize production by using twin data. For this reason, a state aware method of flexible production line based on digital twin is proposed. The architecture of the method is established firstly, and three key technologies in the system implementation are discussed in detail: the construction of digital twin model based on unity 3D, the real time acquisition of heterogeneous equipment data based on OPC UA, and the state perception and evaluation based on twin model. Finally, based on a flexible production workshop, the state perception and fault diagnosis are realized, and the feasibility and effectiveness of the proposed method are verified, which provides an effective solution for the realization of the state perception of the flexible production line. |
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