2016Procedia CIRPOpen access

A Cyber-physical System Architecture in Shop Floor for Intelligent Manufacturing

Chao Liu, Pingyu Jiang

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Abstract

A Cyber-physical System (CPS) architecture in shop floor is proposed for achieving the goals of intelligent manufacturing. The proposed architecture provides a guideline to construct a CPS system from the hardware interconnection, to the data acquisition, processing, and visualization, and the final knowledge acquisition and learning. Furthermore, three key enabling technologies are discussed, i.e., interconnection and interoperability among different devices, industrial big data analysis for production process management and control, and intelligent decision-making based on knowledge acquisition and learning methodology. Finally, a CPS added on a small-scale flexible automated production line in our Micro Manufacturing System Lab is taken as an example to verify the feasibility of proposed CPS architecture.

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What this paper is about

A Cyber-physical System (CPS) architecture in shop floor is proposed for achieving the goals of intelligent manufacturing. The proposed architecture provides a guideline to construct a CPS system from the hardware interconnection, to the data acquisition, processing, and visualization, and the final knowledge acquisition and learning. Furthermore, three key enabling technologies are discussed, i.e., interconnection and interoperability among different devices, industrial big data analysis for production process management and control, and intelligent decision-making based on knowledge acquisition and learning methodology. Finally, a CPS added on a small-scale flexible automated production line in our Micro Manufacturing System Lab is taken as an example to verify the feasibility of proposed CPS architecture.

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Available abstract

A Cyber-physical System (CPS) architecture in shop floor is proposed for achieving the goals of intelligent manufacturing. The proposed architecture provides a guideline to construct a CPS system from the hardware interconnection, to the data acquisition, processing, and visualization, and the final knowledge acquisition and learning. Furthermore, three key enabling technologies are discussed, i.e., interconnection and interoperability among different devices, industrial big data analysis for production process management and control, and intelligent decision-making based on knowledge acquisition and learning methodology. Finally, a CPS added on a small-scale flexible automated production line in our Micro Manufacturing System Lab is taken as an example to verify the feasibility of proposed CPS architecture.

Key concepts: Cyber-physical system, Interoperability, Architecture, Interconnection, Computer science, Process (computing), Systems engineering, Embedded system

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