Monitoring of real-time behavior of industrial ethernet for industry 4.0

Fuchs, Stefan; Gercikow, Alexander; Schmidt, Hans‐Peter

doi:10.1109/ieecon.2017.8075915

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…e control loop consists of all the physical and cyber components to autonomously adjust states of the production environment to equal the value of a desired state [7]. Various industrial control network technologies [8][9][10] make it possible to observe real-time states of the production environment. Recent advances in big data and AI technologies have led to the development of AI-based decision-making applications [11].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Runtime Verification Framework for Cyber-Physical Production Systems

Kang

Chun

Kim

2019

Journal of Engineering

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Traditional factories are turning into smart factories with the advent of various ICT technologies, and various control decisions are derived by AI technologies. In this circumstance, runtime verification of a control command is important for zero-defect manufacturing processes but challengeable because factories of the future are highly complex and heterogeneous systems. In this paper, we propose DigTwinOps, a Digital Twin framework for Runtime Verification of Cyber-Physical Production Systems (CPPSs). DigTwinOps features a Digital Twin Execution Engine (DTEE) that manages a Digital Twin Model to synchronize states of a real CPPS object in a production environment. With a monitoring and simulation combination process, a human worker can observe the states of the CPPS object and verify the effectiveness of control commands before applying it to a real production environment. The proposed framework is applied to a CPPS prototype production system, and the results show that the framework can work effectively in the controllability verification of control commands.

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