Edge computing-based digital twin framework based on ISO 23247 for enhancing data processing capabilities
Open accessAbstract
Digital Twin (DT) technology has evolved to contextualize real-time interactions between the physical and digital worlds. It has gained increasing attention in various research areas and industries, including the manufacturing, aerospace, and automotive industries, while facing challenges in processing and analyzing large datasets. To address these challenges, this paper proposes an edge computing-based DT (E-DT) framework and elaborates on its functional and informational aspects. The functional aspect is represented using ISO 23247 as the reference architecture, while the informational aspect is elaborated by introducing a data fusion model. Then, an E-DT for Wire+Arc Additive Manufacturing (WAAM) is developed, its performance is evaluated, and the benefits of edge computing in enhancing real-time processing and decision-making are verified. In addition, a typical non-edge computing-based DT for WAAM is implemented according to ISO 23237 for comparison. The results show that the proposed E-DT for WAAM achieved reduction in latency through faster data processing, smaller data upload volume, and more consistent data upload speed.
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Edge computing and 5G networks offer promising solutions by processing data closer to its source, significantly reducing latency and enhancing synchronization.
“Edge computing and 5G networks offer promising solutions by processing data closer to its source, significantly reducing latency and enhancing synchronization [127,128].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [127]
Section 5 (Conclusions) says the proposed edge-computing framework processes data locally and significantly reduces network latency. Section 3.2 (Informational Aspect) describes synchronization between real-time data and digital representations through an event-driven consistency model. The paper does not support the claim about 5G networks or attribute the synchronization benefit to 5G. (LLM, conf=0.86)
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Cited by
Sorted by citations
Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0
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“Edge computing and 5G networks offer promising solutions by processing data closer to its source, significantly reducing latency and enhancing synchronization [127,128].”
- Authors
- Kang, M.-S., Lee, D.-H., Bajestani, M. S., Kim, D. B., & Noh, S. D.
- Affiliations
- Sungkyunkwan University (KR)
- Tennessee Technological University (US)
- Corresponding author
- Lee, Dong-Hee
- Venue
- Machines
- Publisher
- MDPI AG
- Published
- 2024-12-31
- Volume
- 13
- Issue
- 1
- Pages
- 19
- ISSN
- 2075-1702 (ISSN-L)
- OpenAlex
- W4405921370
- Cited by
- 32
- References
- 41
- Citations by year
- 2026: 14 · 2025: 18
- FWCI
- 6.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Machines (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Brain Pool Program funded by the Ministry of Science and ICT through the National Research Foundation of Korea (RS-2023-00262501)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Keywords
- digital twin, edge computing, ISO 23247, wire arc additive manufacturing, data fusion, reference architecture, real-time data processing, latency reduction, decision-making
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