scholarly journals Digital Twin Workshop System Rapid Construction Method Based on Parallel Computing of Logic and Model Data

2021 ◽  
Vol 57 (17) ◽  
pp. 76
2021 ◽  
Author(s):  
Luyao Xia ◽  
Lu Jianfeng ◽  
Hao Zhang ◽  
Mengying Xu ◽  
Zhaojia Li ◽  
...  

Abstract Many enterprises have built their own digital twin factory model for physical factory planning, simulation optimization and real-time monitoring. However, the digital twin system, which has a single field, a short time cycle and unsinkable service, cannot fully reflect the interaction and integration of the physical and information world required by intelligent manufacturing. Therefore, the research on the construction method of the smart factory digital twin system with cross-domain and multi-model has an important influence on the application of smart manufacturing. In view of the above problems, this paper proposes the concept and composition of digital twin manufacturing ecosystem (DTMEs) based on the requirements and characteristics of product lifecycle, and analyzes the construction requirements of DTMEs for factory digital twin system, product digital twin system and supply chain digital twin system from the perspective of lifecycle. Finally, the smart factory digital twin system architecture is applied to the digital and intelligent upgrading of the hydraulic cylinder factory. The experimental results show that the intelligent improvement of the hydraulic factory, the reduction of Work-in-process inventory and the advance of delivery time, and prove the feasibility and effectiveness of the smart factory digital twin system.


2021 ◽  
Author(s):  
Yanhong Zhu ◽  
Danyang Chen ◽  
Cheng Zhou ◽  
Lu Lu ◽  
Xiaodong Duan

2021 ◽  
Vol 113 (9-10) ◽  
pp. 2685-2699
Author(s):  
Chao Zhang ◽  
Qingchao Sun ◽  
Wei Sun ◽  
Xiaokai Mu ◽  
Yunlong Wang

2022 ◽  
Vol 355 ◽  
pp. 02029
Author(s):  
Yimin Du ◽  
Lingling Shi ◽  
Xiang Zhai ◽  
Hanqing Gong ◽  
Zhijing Zhang

The actual product assembly process mainly relies on manual assembly by workers, and the personal experience of workers is difficult to effectively reuse. Ontology as a knowledge management and expression tool is gradually applied in the field of assembly. However, the manual construction of the ontology is time-consuming and labor-intensive, and the automatic construction of the ontology requires a large number of corpora for training, both of which are difficult to obtain a good assembly case ontology. This paper proposes a method in which automatically extracts relevant knowledge from case assembly process files to generates case database and integrates ontology framework of assembly domain to construct ontology. It shows that the accuracy can be guaranteed on the basis of the rapid construction of case ontology. The feasibility of this method is proved by a practical case.


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