Assembly Process Knowledge Graph for Digital Twin

Author(s):  
Yukun Jiang ◽  
Changjiang Chen ◽  
Xiaojun Liu
2021 ◽  
Author(s):  
Jinfeng Liu ◽  
Jianwei Dong ◽  
Xuwen Jing ◽  
Xuwu Cao ◽  
Chenxiao Du ◽  
...  

Abstract In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heterogeneous model is proposed in this paper. Firstly, the multi-element process knowledge graph is constructed, and the heterogeneous ship model is described in a unified way. Then, the multi-strategy ontology mapping method is applied, and the semantic expression between the process knowledge graph and the entity model is realized. Finally, by obtaining implicit semantics based on case-based reasoning and checking the similarity of the matching results, the case knowledge reuse is achieved, to achieve rapid design of the process. This method provides reliable technical support for the design of ship component assembly and welding process, greatly shortens the design cycle, and improves the working efficiency. In addition, a case study of the test model is carried out to verify the feasibility and efficiency of the proposed method.


2019 ◽  
Vol 55 (17) ◽  
pp. 110
Author(s):  
GUO Feiyan ◽  
LIU Jianhua ◽  
ZOU Fang ◽  
ZHAI Yunong ◽  
WANG Zhongqi ◽  
...  

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

2020 ◽  
Vol 14 (1) ◽  
pp. 6-17
Author(s):  
Atsuko Enomoto ◽  
Noriaki Yamamoto ◽  
Yoshio Yamamura ◽  
Yoshio Sugawara ◽  
◽  
...  

Completely automated assembly sequence planning for control panels is proposed. The proposed algorithm generates the manufacturing bill of material for the assembly processes and total assembly sequence. The algorithm integrates the knowledge of assembly process into a near optimum assembly sequence generation.


2018 ◽  
Vol 30 (7) ◽  
pp. 1342
Author(s):  
Xiuling Li ◽  
Shusheng Zhang ◽  
Rui Huang ◽  
Bo Huang ◽  
Changhong Xu ◽  
...  

2021 ◽  
Author(s):  
Qiangwei Bao ◽  
Gang Zhao ◽  
Yong Yu ◽  
Sheng Dai ◽  
Wei Wang

Abstract Digital twin (DT) technology has been entrusted with the tasks of modeling and monitoring of the product, process and production system. Moreover, the development of semantic modeling and digital perception provides the feasibility for the application of DT in the manufacturing industry. However, the application of DT technology in assembly workshop modeling and management is immature for the discreteness of assembly process, diversity of assembly resource and complexity of dataflow in the assembly task execution. A method of ontology-based modeling and evolution of DT for the assembly workshop is proposed to deal with this situation. Firstly, the ontology-based modeling method is given for the assembly resource and process. By instantiating in the ontology, resources and processes can be involved in the modeling and evolution of the DT workshop. Secondly, the DT assembly workshop framework is introduced with the detailed discussions of dataflow mapping, DT evolution, storage and tracing of historical data generated during the operation of the workshop. In addition, a case study is illustrated to show the entire process of construction and evolution of DT modeled on an experimental field, indicating the feasibility and validity of the method proposed.


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