Oversized model lightweight method based on ship feature extraction and electronic equipment
A feature extraction and light-weight technology, applied in special data processing applications, geometric CAD, etc., can solve problems such as large amount of model data, high graphics card hardware requirements, and interference checks that affect the virtual maintenance process of the model, so as to reduce the hardware load , Improve the support ability and reduce the effect of hardware requirements
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Embodiment 1
[0049]Embodiment 1, a super-large model lightweight method based on ship feature extraction implemented according to the present invention, the method specifically includes:
[0050] A. Multi-document lightweight data structure definition, such as figure 1 As shown, specifically, the ship product design model is defined in the form of multi-document structure, the structure information file of the product design model is stored separately from the model file, and an association matrix is established to associate the structure information file with the model file. Realize the lightweight processing of model files without losing structural information, without changing the structure tree information and attribute information of the optimized model.
[0051] The structure information file records the structure tree information and attribute information of the product, specifically the structure tree information and related attribute information of the subordinate sub-model, inc...
Embodiment 2
[0107] Embodiment 2. The principle and technical solution of this embodiment are basically the same as those of Embodiment 1. The difference is that: the multi-document lightweight data structure definition adopts the multi-document lightweight display technology definition to adapt to super large data of ships. Quantitative model display data structure, specifically to define product structure tree information, model data information, attribute information and association matrix in the form of multi-document structure, to realize lightweight processing of model files without losing structural information, so as to adapt to With the characteristics of large data volume models of ships, it meets the needs of large scene roaming, virtual maintenance and other use scenarios, and provides 3D scene environment support for collaborative design and design result verification in the design process of subsequent ship products.
Embodiment 3
[0108] Embodiment 3. The principle and technical solution of this embodiment are basically the same as those of Embodiment 1. The difference lies in: the construction of the lightweight algorithm library adapted to the multi-specialty characteristics of the ship is specifically based on the thin plates of the hull, stiffeners, The characteristics of different models such as pipelines and equipment are used to build a lightweight algorithm library for multi-disciplinary models of ships; when simplifying the model, by reading the attribute information of the model, select the corresponding simplified algorithm in the lightweight algorithm model library to perform Model lightweight processing, so as to obtain models with different accuracy, can significantly improve the efficiency of ship model lightweight processing, and reduce the (CPU) hardware requirements for model processing.
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