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

Dapeng Tan (), Libin Zhang and Qinglin Ai
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Dapeng Tan: Zhejiang University of Technology
Libin Zhang: Zhejiang University of Technology
Qinglin Ai: Zhejiang University of Technology

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 2, No 5, 539-556

Abstract: 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.

Keywords: Networked manufacturing system; Service framework; Universal plug and play; Complex network; Self-adapting; Embedded system (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-016-1265-3

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