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

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dc.contributor.author Sangwan, Kuldip Singh
dc.date.accessioned 2023-08-31T06:40:53Z
dc.date.available 2023-08-31T06:40:53Z
dc.date.issued 2023-03
dc.identifier.uri https://www.tandfonline.com/doi/abs/10.1080/0951192X.2023.2189312
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11751
dc.description.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 en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Mechanical Engineering en_US
dc.subject Cyber-Physical Production System en_US
dc.subject Cloud computing en_US
dc.subject Fog computing en_US
dc.subject Edge computing en_US
dc.subject 3D Printing en_US
dc.subject Industry 4.0 en_US
dc.title A cyber physical production system framework for online monitoring, visualization and control by using cloud, fog, and edge computing technologies en_US
dc.type Article en_US


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