MTComm Based Virtualization and Integration of Physical Machine Operations with Digital-Twins in Cyber-Physical Manufacturing Cloud
Open accessAbstract
Digital-Twins simulate physical world objects by creating 'as-is' virtual images in a cyberspace. In order to create a well synchronized digital-twin simulator in manufacturing, information and activities of a physical machine need to be virtualized. Many existing digital-twins stream read-only data of machine sensors and do not incorporate operations of manufacturing machines through Internet. In this paper, a new method of virtualization is proposed to integrate machining data and operations into the digital-twins using Internet scale machine tool communication method. A fully functional digital-twin is implemented in CPMC testbed using MTComm and several manufacturing application scenarios are developed to evaluate the proposed method and system. Performance analysis shows that it is capable of providing data-driven visual monitoring of a manufacturing process and performing manufacturing operations through digital twins over the Internet. Results of the experiments also shows that the MTComm based digital twins have an excellent efficiency.
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In the reviewed articles, DT was considered helpful for safety reasons in human-robot interaction, monitoring of smart wearable equipment, manufacturing of a produced part, VR visualization platform creation, and HMI visualization environments.
“- 6) DT was also considered helpful for 'Safety reasons' in human-robot interaction [61,63,64], in monitoring of a smart wearable equipment [67], or in the manufacturing process of a produced part [66], within a virtual reality (VR) visualization platform creation [65] or with a HMI visualization environment [60].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [63]
Two reviewed articles use a prediction model.
“In two cases is used a prediction model [25,63]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [63]
In four reviewed articles, the dataset description is done using Unified Modeling Language (UML).
“in four cases a description is done using Unified Modeling Language (UML) [25,51,63,73]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [63]
The dataset description is explicitly mentioned in only nineteen reviewed articles.
“The dataset description is showed only in nineteen articles: in four cases a description is done using Unified Modeling Language (UML) [25,51,63,73], in one case only with the Sequence Diagram (SD) [75].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [63]
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- Authors
- Shahriar, M. R., Sunny, S. M. N. A., Liu, X., Leu, M. C., Hu, L., & Nguyen, N.-T.
- Affiliations
- University of Arkansas at Fayetteville (US)
- Missouri University of Science and Technology (US)
- Venue
- 2018 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2018 4th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)
- Publisher
- IEEE
- Published
- 2018-06
- Pages
- 46-51
- OpenAlex
- W2885616781
- Cited by
- 75
- References
- 11
- Citations by year
- 2025: 3 · 2024: 9 · 2023: 9 · 2022: 22 · 2021: 22 · 2020: 5 · 2019: 5
- FWCI
- 12.60
- Type
- conference paper
- Language
- en
- Open access
- Licence
- cc-by-nd
- Locations
- IEEE International Conference on Cyber Security and Cloud Computing / IEEE International Conference on Edge Computing and Scalable Cloud (CSCloud/EdgeCom) (publishedVersion)
- Journal of the Arkansas Academy of Science (submittedVersion, cc-by-nd)
- Funders
- National Science Foundation
- Division of Civil, Mechanical and Manufacturing Innovation
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Engineering Technology and Methodologies
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Keywords
- digital twin, machining data, visual monitoring
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