A cloud-terminal-based cyber-physical system architecture for energy efficient machining process optimization

Xiaoxia Li, Fazhi He, Weidong Li

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

An innovative cloud-terminal-based cyber-physical system (CTCPS) architecture is presented to support energy efficient machining process optimization. The CTCPS consists of four levels: machine level, control level, data level and decision support level. The machine level and control level are composed of all kinds of terminals related to machining process and mainly responsible for monitoring machines and controlling machines to execute the optimal solutions. The data level and decision support level are deployed in cloud for data storage, management and analysis and optimization. Experiments on the practical case shows that the CTCPS is promising and has significant potential of implementation in practice.
Original languageEnglish
Pages (from-to)1049–1064
Number of pages16
JournalJournal of Ambient Intelligence and Humanized Computing
Volume10
Issue number3
Early online date10 May 2018
DOIs
Publication statusPublished - Mar 2019

Fingerprint

Machining
Level control
Storage management
Monitoring
Cyber Physical System
Experiments

Keywords

  • Cyber-physical system
  • Energy efficient machining
  • Machining process optimization
  • Sustainable manufacturing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

A cloud-terminal-based cyber-physical system architecture for energy efficient machining process optimization. / Li, Xiaoxia; He, Fazhi; Li, Weidong.

In: Journal of Ambient Intelligence and Humanized Computing, Vol. 10, No. 3, 03.2019, p. 1049–1064.

Research output: Contribution to journalArticle

@article{7309829ad5584ebfa5430538b9ce33df,
title = "A cloud-terminal-based cyber-physical system architecture for energy efficient machining process optimization",
abstract = "An innovative cloud-terminal-based cyber-physical system (CTCPS) architecture is presented to support energy efficient machining process optimization. The CTCPS consists of four levels: machine level, control level, data level and decision support level. The machine level and control level are composed of all kinds of terminals related to machining process and mainly responsible for monitoring machines and controlling machines to execute the optimal solutions. The data level and decision support level are deployed in cloud for data storage, management and analysis and optimization. Experiments on the practical case shows that the CTCPS is promising and has significant potential of implementation in practice.",
keywords = "Cyber-physical system, Energy efficient machining, Machining process optimization, Sustainable manufacturing",
author = "Xiaoxia Li and Fazhi He and Weidong Li",
year = "2019",
month = "3",
doi = "10.1007/s12652-018-0832-1",
language = "English",
volume = "10",
pages = "1049–1064",
journal = "Journal of Ambient Intelligence and Humanized Computing",
issn = "1868-5137",
publisher = "Springer Verlag",
number = "3",

}

TY - JOUR

T1 - A cloud-terminal-based cyber-physical system architecture for energy efficient machining process optimization

AU - Li, Xiaoxia

AU - He, Fazhi

AU - Li, Weidong

PY - 2019/3

Y1 - 2019/3

N2 - An innovative cloud-terminal-based cyber-physical system (CTCPS) architecture is presented to support energy efficient machining process optimization. The CTCPS consists of four levels: machine level, control level, data level and decision support level. The machine level and control level are composed of all kinds of terminals related to machining process and mainly responsible for monitoring machines and controlling machines to execute the optimal solutions. The data level and decision support level are deployed in cloud for data storage, management and analysis and optimization. Experiments on the practical case shows that the CTCPS is promising and has significant potential of implementation in practice.

AB - An innovative cloud-terminal-based cyber-physical system (CTCPS) architecture is presented to support energy efficient machining process optimization. The CTCPS consists of four levels: machine level, control level, data level and decision support level. The machine level and control level are composed of all kinds of terminals related to machining process and mainly responsible for monitoring machines and controlling machines to execute the optimal solutions. The data level and decision support level are deployed in cloud for data storage, management and analysis and optimization. Experiments on the practical case shows that the CTCPS is promising and has significant potential of implementation in practice.

KW - Cyber-physical system

KW - Energy efficient machining

KW - Machining process optimization

KW - Sustainable manufacturing

UR - http://www.scopus.com/inward/record.url?scp=85049592622&partnerID=8YFLogxK

U2 - 10.1007/s12652-018-0832-1

DO - 10.1007/s12652-018-0832-1

M3 - Article

VL - 10

SP - 1049

EP - 1064

JO - Journal of Ambient Intelligence and Humanized Computing

JF - Journal of Ambient Intelligence and Humanized Computing

SN - 1868-5137

IS - 3

ER -