TY - GEN
T1 - The enhanced modeling method of industrial Internet manufacturing resource
AU - Li, Jiming
AU - Zhang, Guozhen
AU - Qian, Chen
AU - Zhang, Yingfeng
N1 - Publisher Copyright:
© 2024 SPIE.
PY - 2024
Y1 - 2024
N2 - In the manufacturing environment for the industrial Internet, manufacturing resources are developing rapidly in the direction of intelligence and diversification. But, industrial manufacturing resources also show the characteristics of isomerization, complexity and distribution. This seriously hinders the implementation of the concept of optimal allocation of resources in the industrial Internet environment, especially in the joint research and development process of large-scale industrial products (such as aviation engines, etc.), which is easy to cause bottlenecks in production collaboration, and it is difficult to meet the requirements of the industrial Internet for cross-departmental and cross-platform interconnection of manufacturing resources at the resource layer. Therefore, aiming at complex manufacturing scenarios and massive multi-source heterogeneous intelligent manufacturing resources in the underlying distributed environment, this paper focuses on the general description and modeling methods of the underlying multi-source heterogeneous resources, studies the isomeric modeling and componentized encapsulation of enhanced resource models. At last, a case is designed, which shows that the enhanced modeling method could shield resource heterogeneity, improve reusability, and provide robust modeling language support for resource service.
AB - In the manufacturing environment for the industrial Internet, manufacturing resources are developing rapidly in the direction of intelligence and diversification. But, industrial manufacturing resources also show the characteristics of isomerization, complexity and distribution. This seriously hinders the implementation of the concept of optimal allocation of resources in the industrial Internet environment, especially in the joint research and development process of large-scale industrial products (such as aviation engines, etc.), which is easy to cause bottlenecks in production collaboration, and it is difficult to meet the requirements of the industrial Internet for cross-departmental and cross-platform interconnection of manufacturing resources at the resource layer. Therefore, aiming at complex manufacturing scenarios and massive multi-source heterogeneous intelligent manufacturing resources in the underlying distributed environment, this paper focuses on the general description and modeling methods of the underlying multi-source heterogeneous resources, studies the isomeric modeling and componentized encapsulation of enhanced resource models. At last, a case is designed, which shows that the enhanced modeling method could shield resource heterogeneity, improve reusability, and provide robust modeling language support for resource service.
KW - IIoT
KW - Intelligent Manufacturing
KW - Resource Modeling
UR - http://www.scopus.com/inward/record.url?scp=85202059791&partnerID=8YFLogxK
U2 - 10.1117/12.3038399
DO - 10.1117/12.3038399
M3 - 会议稿件
AN - SCOPUS:85202059791
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2024
A2 - Zhang, Ke
A2 - Zhang, Dailin
PB - SPIE
T2 - 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2024
Y2 - 24 May 2024 through 26 May 2024
ER -