Research on parametric visualization modeling technology of ship digital model

Bin Dong; Qingyu Cai; Duo Zhang; Haiyang Sun; Xiaoan Tang

doi:10.1117/12.2668085

20 April 2023 Research on parametric visualization modeling technology of ship digital model

Bin Dong, Qingyu Cai, Duo Zhang, Haiyang Sun, Xiaoan Tang

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260229 (2023) https://doi.org/10.1117/12.2668085
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

A method of building hull model with OpenGL and C++ is proposed, which can better realize 3D modeling. Compared with the traditional 2D method, 3D design can express products more intuitively. Compared with some major commercial modeling software on the market, although commercial software can establish a complete surface space, the entire system modeling cannot be separated from the operation of commercial software, and software application cannot be promoted without independent intellectual property rights. The model constructed by this method analyzes the complex curves and surfaces contained in the shape of the hull according to the characteristics of the hull, and proposes a geometric modeling algorithm based on key points, which uses quadrilateral patches to splicing key points. Implement model meshing. Finally, a parametric model is formed by OpenGL rendering. The hull parametric model system developed based on OpenGL has good stability and strong compatibility, and can better assist in the evaluation of ship damage effects and target vulnerability, which are two extremely important tasks.

Citation Download Citation

Bin Dong, Qingyu Cai, Duo Zhang, Haiyang Sun, and Xiaoan Tang "Research on parametric visualization modeling technology of ship digital model", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260229 (20 April 2023); https://doi.org/10.1117/12.2668085

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