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Knowledge graph-driven methodology for complex product architecture solution generation and simulation verification
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DOI：10.1016/j.aei.2025.103590.png)
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Abstract
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• Knowledge graph-driven architecture design for intelligent decision-making: This method improves the efficiency and intelligence of complex product architecture design by systematically managing design knowledge, optimizing decision-making, and reducing dependence on expert experience. • Design solution generation and optimization based on the Knowledge Graph: Using knowledge graph retrieval and matching, combined with constraint information, architecture solutions are quickly generated and optimized, improving the response speed of architecture generation and optimization. • Integrated simulation verification for improved accuracy and reliability: By coupling the knowledge graph with mechanistic models, this approach enables fast and effective validation of solution feasibility and reliability, streamlining verification, improving design consistency, and supporting iterative optimization in complex product development. • Systematic management and application of product design knowledge: By constructing a knowledge graph, product functions, component characteristics, and their constraint relationships are stored in a structured manner, providing knowledge support for architecture design.
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