南京航空航天大学学报（英文版）2023，Vol.40Issue(1)：106-114,9.
在云制造背景下用架构驱动的建模方法探讨数字孪生企业
Investigation on Digital Twin Enterprises with an Architecture-Driven Modeling Approach in Cloud Manufacturing
摘要
Abstract
The cloud manufacturing required by an increasingly dynamic competitive industrial environment results in the formation of "digital twin enterprises". In order to investigate the digital twin enterprise with an architecture-driven modeling approach, this paper first introduces the essential elements of the digital twin enterprise architecture. These elements are converged by the multi-agent technology to form digital resources that can be dynamically connected to the cloud manufacturing platform. Then, by combining the digital twin technology, the general activities of enterprises are further refined to form the main operation flow of the architecture. Finally, as the digital twin technology is the core supporting technology for cloud manufacturing, this paper conducts a detailed analysis of the process of digital twin enterprises participating in cloud manufacturing. Through the application of digital twin technology, enterprises can reasonably control their production resources, and the internal production data flow can be further utilized to optimize the production process. Meanwhile, the manufacturing resources of enterprises can be accessed to the networked manufacturing platform in real time, and personalized orders can be obtained and further exploited according to the enterprise's real status. The digitalization degree of enterprises has been greatly improved by constructing the multi-agent operation framework and optimizing the process of enterprises participating in networked production activities.关键词
云制造/数字孪生/多智能体/企业活动Key words
cloud manufacturing/digital twin (DT)/multi-agent/enterprise activity分类
信息技术与安全科学引用本文复制引用
聂庆玮,朱海华,唐敦兵,王立平,宋家烨,刘长春..在云制造背景下用架构驱动的建模方法探讨数字孪生企业[J].南京航空航天大学学报（英文版）,2023,40(1):106-114,9.基金项目
This work was supported in part by the National Key Research and Development Program of China(No.2018YFE0177000)and the National Natural Sci-ence Foundation of China(No.52075257). （No.2018YFE0177000）
