A cyber physical production system framework for online monitoring, visualization and control by using cloud, fog, and edge computing technologies

ABSTRACT

Cyber physical production system (CPPS) is an essential prerequisite to facilitate online monitoring, visualization, and control in a smart manufacturing system. The goal of this paper is to provide a proof of concept by proposing a CPPS framework, based on complementing cloud, fog and edge computing technologies, to demonstrate the real-time online monitoring, visualization, and control of a conventional 3D printer. The proposed methodology was successfully used for online detection and control of part defects, filament runouts, and smoke generation. The proposed methodology was also used to acquire, monitor, and visualize energy consumption, relative humidity, temperature, volatile organic compounds, particulate matters, and acceleration during 3D printing. The present work utilizes the computing technologies where they do not compete, but instead complement each other to enable intelligent capabilities and online sharing of resources which are scalable, reliable, and efficient. The proposed CPPS framework can be extended to provide low-cost solutions to micro, small and medium enterprises to convert their traditional critical equipment for real-time monitoring, visualization, control, and analytics.

KEYWORDS:

• Cyber physical production system
• cloud computing
• fog computing
• edge computing
• 3D printing
• Industry 4.0

Acknowledgements

This research is part of the project “JInGAS- Joint Indo-German Academy towards Sustainability in Engineering, Education and Entrepreneurship”, a joint project between Technische Universität Braunschweig and Birla Institute of Technology and Science Pilani, funded by the German Academic Exchange Service (DAAD) under grant number 57515043. The authors are thankful for the funding and support.

Disclosure statement

No potential conflict of interest was reported by the authors.

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

The work was supported by the German Academic Exchange Services Berlin [57515043].