A new academic paper released on arXiv (here the complete paper) proposes a practical framework for translating complex engineering standards, including valve design specifications and pressure equipment codes, into machine-interpretable ontologies.
The researchers demonstrate how semantic models can capture the logical relationships between valve types, materials, pressure ratings, and compliance clauses (e.g., ASME, API, ISO). This structure allows CAD and PLM systems to automatically validate designs against regulatory and safety requirements, drastically reducing manual review time.
The study points to a near-future where digital twins of valves can carry embedded compliance data, enabling AI-assisted design checks and automatic documentation generation. The approach could help manufacturers align design automation with certification workflows, ensuring consistency across global standards.
