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

Xiaoxia Li; Fazhi He; Weidong Li

doi:10.1007/s12652-018-0832-1

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

Xiaoxia Li, Fazhi He, Weidong Li

Research output: Contribution to journal › Article › peer-review

22 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 language	English
Pages (from-to)	1049–1064
Number of pages	16
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume	10
Issue number	3
Early online date	10 May 2018
DOIs	https://doi.org/10.1007/s12652-018-0832-1
Publication status	Published - Mar 2019

Keywords

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

ASJC Scopus subject areas

Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s12652-018-0832-1

Cite this

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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.",

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AU - Li, Xiaoxia

AU - He, Fazhi

AU - Li, Weidong

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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

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JO - Journal of Ambient Intelligence and Humanized Computing

JF - Journal of Ambient Intelligence and Humanized Computing

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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