The enhanced modeling method of industrial Internet manufacturing resource

Jiming Li, Guozhen Zhang, Chen Qian, Yingfeng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationThird International Conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2024
EditorsKe Zhang, Dailin Zhang
PublisherSPIE
ISBN (Electronic)9781510681804
DOIs
StatePublished - 2024
Event3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2024 - Changsha, China
Duration: 24 May 202426 May 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13226
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2024
Country/TerritoryChina
CityChangsha
Period24/05/2426/05/24

Keywords

  • IIoT
  • Intelligent Manufacturing
  • Resource Modeling

Fingerprint

Dive into the research topics of 'The enhanced modeling method of industrial Internet manufacturing resource'. Together they form a unique fingerprint.

Cite this