Paper
5 August 2024 The enhanced modeling method of industrial Internet manufacturing resource
Jiming Li, Guozhen Zhang, Cheng Qian, Yingfeng Zhang
Author Affiliations +
Proceedings Volume 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024); 132264L (2024) https://doi.org/10.1117/12.3038399
Event: 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 2024, Changsha, China
Abstract
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiming Li, Guozhen Zhang, Cheng Qian, and Yingfeng Zhang "The enhanced modeling method of industrial Internet manufacturing resource", Proc. SPIE 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 132264L (5 August 2024); https://doi.org/10.1117/12.3038399
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KEYWORDS
Manufacturing

Modeling

Data modeling

Internet

Industrial applications

Analytical research

Data transmission

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