A Neuro-Symbolic Hybrid Framework for Automated P&ID Auditing: Integrating Graph Neural Networks with Knowledge-Grounded RAG for Human-in-the-Loop Safety Verification
Piping and Instrumentation Diagrams (P&IDs) represent the foundational safety records of chemical process facilities, yet their accuracy frequently degrades in brownfield facilities due to undocumented process modifications and Management of Change implementation. This documentation decay introduces latent topologica...