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Machine Monitoring Based on Cyberphysical Systems for Industry 4.0

Abstract:

This article presents the design, and implementation of an architecture based on cyber-physical systems (CPS), which are mechanisms controlled and/or monitored by computational algorithms and closely integrated with the internet, to supervise variables acquired from a machine with computer numerical control (CNC) and a manipulator robot. This architecture uses low-cost components and is fully implemented on a Raspberry Pi 2 Model B computer. Furthermore, the architecture uses a topology of multiple client-server programmed on Python language for an appropriate global visualization of the variables acquired from the connected machines. A user interface (HMI) was also developed for the real-time visualization of the key machine indicators selected according to the user criteria. Moreover, the architecture was tested in an industrial part machining process and the stability of the data acquisition system was validated based on the machine condition information. Therefore, the architecture has sufficient robustness and capability to be used in other manufacturing environments. Finally, the presented system also becomes a useful tool in the decision-making process since it uses continuously updated information, statistics and trend history of each machine that composes the CPS.