Process knowledge graph modeling techniques and application methods for ship heterogeneous models

Area of Science:

• Marine Engineering
• Knowledge Representation
• Computer-Aided Design

Background:

• Heterogeneous models in marine component design hinder process knowledge and experience reuse.
• Existing methods struggle to effectively express and leverage embedded design knowledge.

Purpose of the Study:

• To propose a process knowledge representation model for ship heterogeneous models.
• To enable efficient expression and reuse of process design knowledge and experience.
• To facilitate rapid process design for marine components.

Main Methods:

• Construction of a multi-element process knowledge graph for unified description of heterogeneous ship models.
• Application of multi-strategy ontology mapping for semantic expression between knowledge graphs and entity models.
• Case-based reasoning for implicit semantics acquisition and similarity matching to achieve knowledge reuse.

Main Results:

• Successfully unified the description of heterogeneous ship models.
• Achieved semantic expression between process knowledge graphs and entity models.
• Demonstrated effective case knowledge reuse for rapid process design, validated with a ship's double-deck bottom segment example.

Conclusions:

• The proposed model effectively acquires process knowledge from design cases.
• It significantly improves the efficiency and intelligence of knowledge reuse in ship heterogeneous model process design.
• Provides reliable technical support for ship component assembly and welding, shortening design cycles and enhancing efficiency.