Research on Visualization Methods for Marine Environmental Element Fields in Twin Spaces
Visualization of marine environmental field elements is one of the core technologies in marine science research. Particularly in the context of “digital twin of the ocean” (DTO) construction and application, accurately reproducing the dynamic evolution of marine environmental elements remains a critical challenge. Existing visualization methods are primarily limited to static displays and fail to achieve deep integration and dynamic expression of marine environmental elements and sea conditions. To address this, this paper proposes a new visualization method for marine environmental element fields in a twin-space framework. This method first constructs dynamic wave twin objects based on wave data, then develops a marine environmental element field model based on environmental element data, and finally generates a coupled marine environmental element twin object through integration. This approach facilitates the dynamic and collaborative visualization of multiple marine elements. The collaborative visualization results of wave information, ocean surface temperature, and salinity data indicate that this method effectively enhances the dynamic expression capability and information fusion level of the ocean environment feature field. It provides new ideas and approaches for the development of ocean environment visualization technology in twin spaces, with promising application potential.
Authors
- Cunjin Xue (ORCID: https://orcid.org/0000-0003-3605-6578)
- Yingying Ma (ORCID: https://orcid.org/0000-0002-8699-0652)
- Lianwei Li (ORCID: https://orcid.org/0009-0003-8310-420X)
- Shiyu Wu (ORCID: https://orcid.org/0009-0004-0358-8839)
- Qiming Qin
Institutions
- Qingdao Binhai University (CN)
- Chinese Academy of Sciences (CN)
- Aerospace Information Research Institute (CN)
- China University of Petroleum, East China (CN)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3390/jmse13030449
- Citations
- 2
- Primary Topic
- Simulation and Modeling Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China