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Journal of Intelligent Manufacturing

Erschienen in:

03.10.2016

An embedded self-adapting network service framework for networked manufacturing system

verfasst von: Dapeng Tan, Libin Zhang, Qinglin Ai

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 2/2019

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Abstract

To improve the self-adapting ability and real-time performance of client/server based networked manufacturing system (NMS), this paper introduces the universal plug and play (UPnP), an intelligent network middleware, into networked manufacturing area, and proposes an embedded self-adapting network framework and related service methods. Referring to small world model and scale-free principles, a complex network model oriented to digital manufacturing is set up. Based on the model, an improved entropy vector projection algorithm is proposed to evaluate the network complexity and reveal the evolution regulars. Then, the self-adapting services for NMS are performed by UPnP service-calling and inter-process communication methods. Finally, the case studies and industrial field experiments verify the effectiveness of the proposed service framework.

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Titel: An embedded self-adapting network service framework for networked manufacturing system
verfasst von: Dapeng Tan
Libin Zhang
Qinglin Ai
Publikationsdatum: 03.10.2016
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 2/2019
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-016-1265-3

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