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

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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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Abbreviations

API:

Application program interfaces

CNC:

Computer numerical control

C/S:

Client/server

CP:

Control point

CP-DCGM:

CP display/control GUI sub-module

CPLD:

Complex programmable logic device

DAI:

Distributed artificial intelligence

DCP:

Device control protocol

DDCM:

Device data collection module

DP:

Device point

DP-DSCM:

DP data and status collection sub-module

DS:

Data service

DSCP:

Data service center point

DSCP-DSQM:

DSCP data storage and query sub-module

DSP:

Digital signal processor

DSSM:

Data storage service module

EDCS:

Embedded data collection system

EPA:

Ethernet for plant automation

EVP:

Entropy vector projection

FW/NAT:

Firewall/network address translation

GA:

Genetic algorithm

IPC:

Inter-process communication

LPC:

Iower position computer

MCC:

Monitoring and control center

ML-KNN:

Multi label k nearest neighbor

MW:

Manufacturing workshops

NMM:

Network middleware module

NMS:

Networked manufacturing system

NSC:

Network service center

P2P:

Peer-to-peer

PCT:

Parameter configuration table

PDP:

Parameter data package

PSO:

Particle swarm optimization

RBAC:

Role-based access control

SLOF:

Shengli oil field

SPFC:

Shenyang pump factory corporation

SWM:

Small world model

UMM:

User monitoring module

UPC:

Upper position computer

UPnP:

Universal plug and play

WISCO:

Wuhan iron and steel corporation

XML:

Extensible markup language

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Acknowledgments

This work was supported in part by the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization under Grant No. U1509212; Natural Science Foundation of China under Grant Nos. 51375446, 51275470; the Zhejiang Provincial Natural Science Foundation for Distinguished Young Scientists under Grant No. LR16E050001; the Visiting Scholar Foundation of the State Key Lab of Digital Manufacturing Equipment and Technology under Grant No. DMETKF2013006.

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Authors and Affiliations

  1. Key Laboratory of E & M, Ministry of Education & Zhejiang Province, Zhejiang University of Technology, Hangzhou, 310014, China

    Dapeng Tan, Libin Zhang & Qinglin Ai

  2. State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China

    Dapeng Tan

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  1. Dapeng Tan
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  2. Libin Zhang
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  3. Qinglin Ai
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Correspondence to Dapeng Tan.

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Tan, D., Zhang, L. & Ai, Q. An embedded self-adapting network service framework for networked manufacturing system. J Intell Manuf 30, 539–556 (2019). https://doi.org/10.1007/s10845-016-1265-3

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