A Digital Twin Comprehensive Monitoring System for Ship Equipment
In this study, a comprehensive digital twin monitoring system for ship equipment was designed and implemented, including the system architecture, key technologies, and applications. Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2024-12-01
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| Series: | Polish Maritime Research |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/pomr-2024-0055 |
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| _version_ | 1823860468229341184 |
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| author | Miao Zhe Zhao Yong Su Shaojuan Song Nanzhe |
| author_facet | Miao Zhe Zhao Yong Su Shaojuan Song Nanzhe |
| author_sort | Miao Zhe |
| collection | DOAJ |
| description | In this study, a comprehensive digital twin monitoring system for ship equipment was designed and implemented, including the system architecture, key technologies, and applications. Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. The digital twin model and virtual scenarios constructed here provide a visualisation and simulation platform for equipment status monitoring, enhanced fault diagnosis and support for maintenance decisions. The system integrates real-time monitoring, fault warning, and data analysis, and testing results show good stability and accuracy. In addition, the system optimises the user experience through multi-round feedback testing, and ensures data security and privacy protection through multi-layer encryption, identity verification, and role-based access control. A case study indicates that the proposed system effectively monitors equipment status and provides fault warnings, and has broad application prospects and practical value. Future work will focus on optimising the functionality and improving the applicability and security of the system. |
| format | Article |
| id | doaj-art-fa02c126cb5a4b64a238e7a91f056612 |
| institution | Kabale University |
| issn | 2083-7429 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Polish Maritime Research |
| spelling | doaj-art-fa02c126cb5a4b64a238e7a91f0566122025-02-10T13:26:05ZengSciendoPolish Maritime Research2083-74292024-12-0131411112110.2478/pomr-2024-0055A Digital Twin Comprehensive Monitoring System for Ship EquipmentMiao Zhe0Zhao Yong1Su Shaojuan2Song Nanzhe3Dalian Maritime University, ChinaDalian Maritime University, ChinaDalian Maritime University, ChinaDalian Maritime University, ChinaIn this study, a comprehensive digital twin monitoring system for ship equipment was designed and implemented, including the system architecture, key technologies, and applications. Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. The digital twin model and virtual scenarios constructed here provide a visualisation and simulation platform for equipment status monitoring, enhanced fault diagnosis and support for maintenance decisions. The system integrates real-time monitoring, fault warning, and data analysis, and testing results show good stability and accuracy. In addition, the system optimises the user experience through multi-round feedback testing, and ensures data security and privacy protection through multi-layer encryption, identity verification, and role-based access control. A case study indicates that the proposed system effectively monitors equipment status and provides fault warnings, and has broad application prospects and practical value. Future work will focus on optimising the functionality and improving the applicability and security of the system.https://doi.org/10.2478/pomr-2024-0055various ship equipmentdigital twincomprehensive monitoring systemsecurity privacy protection |
| spellingShingle | Miao Zhe Zhao Yong Su Shaojuan Song Nanzhe A Digital Twin Comprehensive Monitoring System for Ship Equipment Polish Maritime Research various ship equipment digital twin comprehensive monitoring system security privacy protection |
| title | A Digital Twin Comprehensive Monitoring System for Ship Equipment |
| title_full | A Digital Twin Comprehensive Monitoring System for Ship Equipment |
| title_fullStr | A Digital Twin Comprehensive Monitoring System for Ship Equipment |
| title_full_unstemmed | A Digital Twin Comprehensive Monitoring System for Ship Equipment |
| title_short | A Digital Twin Comprehensive Monitoring System for Ship Equipment |
| title_sort | digital twin comprehensive monitoring system for ship equipment |
| topic | various ship equipment digital twin comprehensive monitoring system security privacy protection |
| url | https://doi.org/10.2478/pomr-2024-0055 |
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