Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities
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 process...
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/2075-1702/13/1/19 |
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| author | Min-Su Kang Dong-Hee Lee Mahdi Sadeqi Bajestani Duck Bong Kim Sang Do Noh |
| author_facet | Min-Su Kang Dong-Hee Lee Mahdi Sadeqi Bajestani Duck Bong Kim Sang Do Noh |
| author_sort | Min-Su Kang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b4a5dfc56b204b5489ad3eff1884ce32 |
| institution | Kabale University |
| issn | 2075-1702 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-b4a5dfc56b204b5489ad3eff1884ce322025-01-24T13:39:09ZengMDPI AGMachines2075-17022024-12-011311910.3390/machines13010019Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing CapabilitiesMin-Su Kang0Dong-Hee Lee1Mahdi Sadeqi Bajestani2Duck Bong Kim3Sang Do Noh4Department of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of KoreaDepartment of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of KoreaDepartment of Mechanical Engineering, Tennessee Technological University, Cookeville, TN 38505, USADepartment of Manufacturing and Engineering Technology, Tennessee Technological University, Cookeville, TN 38505, USADepartment of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of KoreaDigital 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.https://www.mdpi.com/2075-1702/13/1/19digital twinedge computingISO 23247Wire+Arc additive manufacturing |
| spellingShingle | Min-Su Kang Dong-Hee Lee Mahdi Sadeqi Bajestani Duck Bong Kim Sang Do Noh Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities Machines digital twin edge computing ISO 23247 Wire+Arc additive manufacturing |
| title | Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities |
| title_full | Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities |
| title_fullStr | Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities |
| title_full_unstemmed | Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities |
| title_short | Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities |
| title_sort | edge computing based digital twin framework based on iso 23247 for enhancing data processing capabilities |
| topic | digital twin edge computing ISO 23247 Wire+Arc additive manufacturing |
| url | https://www.mdpi.com/2075-1702/13/1/19 |
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