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Modelling Industrial Cyber-Physical Systems using IEC 61499 and OPC UA

Authors: Song, Yineng; Zhang, Zhijie; Wang, Peng; Pang, Cheng; Vyatkin; Valeriy; Dai, Wenbin;

Modelling Industrial Cyber-Physical Systems using IEC 61499 and OPC UA

Abstract

Industrial Cyber-Physical Systems (iCPS) are considered as the enabling technology for achieve Industry 4.0. One main characteristic of the iCPS is the information transparency to allow interoperability among various devices and systems. The OPC UA provides a common information model for connecting Industry 4.0 components. On the other hand, the IEC 61499 is commonly used as an executable modeling language for iCPS. The IEC 61499 function block network provides an abstract view of the system configuration. By combining IEC 61499 and OPC UA, a visual executable model for iCPS is completed. In this paper, the mapping between two standards are provided and a case study of the proposed mapping is given.

Related Organizations
Keywords

ta113, ta213, Executable Modelling Language, Industrial Cyber-Physical Systems, IEC 61499 Function Blocks, Interoperability, OPC-UA

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
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