期刊
PROCEEDINGS OF THE 2022 ANNUAL MODELING AND SIMULATION CONFERENCE (ANNSIM'22)
卷 -, 期 -, 页码 102-113出版社
IEEE
关键词
Digital twins; self-adaptation; MAPE-K loop; automation
资金
- Poul Due Jensen Foundation
- China Scholarship Council
This paper discusses the significance of Digital Twins in the manufacturing industry and explores their implementation and application by bridging them with the MAPE-K loop and Cyber-Physical Systems (CPS).
In recent years the concept of Digital Twins (DTs) has gained significant attention, in particular in the manufacturing industry. In proper DTs there is a bidirectional connection to/from their Physical Twins such that it is possible to leave humans out of the loop. However, the underlying ideas of DTs have been inspired from a number of different scientific communities, in particular in relation to autonomy including the Monitor-Analyze-Plan-Execute over a shared Knowledge (MAPE-K). In this paper, we bridge the two concepts by demonstrating an implementation of a MAPE-K loop for an incubator case study within the context of its DT. We also discuss some of the limitations of the MAPE-K concept when applied to Cyber-Physical Systems (CPS).
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