| Autor: |
Zhoupeng HAN, Yan LI, Mingshun YANG, Qilong YUAN, Li BA, Erbao XU |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 14, Iss 7, Pp JAMDSM0100-JAMDSM0100 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1881-3054 |
| DOI: |
10.1299/jamdsm.2020jamdsm0100 |
| Popis: |
There are lots of general parts with frequent maintenance and high interchangeability for continuous casting machine during its operation and maintenance. To acquire the service information of each general part under the environment of high temperature and serious oil pollution for predicting remaining life and preventative maintenance, a digital twin-driven monitoring and traceability system for general parts in continuous casting machine is proposed. First, the systematic architecture of proposed approach is given in detail, where a typical five-layer model for digital twin-driven monitoring and traceability is established. Second, the Web-based 3D visualization monitoring for continuous casting machine is achieved by using lightweight 3D twin model. After that, an assembly model based on polychromatic sets is built for expressing and describing the assembly relationships and assembly process of general parts. Meanwhile, an encoding rule for part and position is put forward by considering assembly position information. On the basis of that, the general parts with total process information are traced in the service life cycle. Finally, digital twin-based 3D visualization monitoring and traceability prototype system is developed and implemented, where the experiment cases verify the effectiveness and feasibility of the proposed approach. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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