IR4AAS: An Identification Resolution-Enhanced AAS for Digital Twins Modeling

会议论文
发表日期：

2024年

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Mu Gu,
Fangfang Gao,
Lin Lin,
Chunhui Su,
Zhe Han,
Hua Zhang,
Yandong Li,
Quanbo Lu,
Jiehan Zhou

摘要

Existing Digital Twin (DT) models struggle to support interconnection and interoperability between DT applications. This paper proposes an identification resolution-enhanced Asset Administration Shell (AAS) for digital twins modeling (IR4AAS). IR4AAS features a unit-level DT model equipped with unique identification and a unified external service interface. IR4AAS builds a hierarchical DT model using business orchestration technique. Its effectiveness is validated through a case study in a precision machining workshop.