Graph Learning in Machine?Readable Plant Topology Data

Digitalization shows that data and its exchange are indispensable for a versatile sustainable process industry. There must be shift from document-oriented to data-oriented Standards the harmonization of structures play an essential role in this change. In engineering, DEXPI (Data Exchange Process Industry) is already well-developed, machine-readable standard describing piping instrumentation diagrams (P&ID). publication, industry, software vendors, research institutions have joined forces demonstrate current developments potentials P&IDs format combined with artificial intelligence. The aim use graph neural networks learn patterns P&ID data, which results efficient engineering development new P&IDs.