The lack of dedicated systems has meant many companies have enormous amounts of engineering knowledge represented by 2d tables and spreadsheets developed over years of operations.
This knowledge, long called “tribal knowledge”, is usually difficult to find, hard to access, and seldom well documented. The only remedy is often to employ resources in a soul crushing manual re-archiving processes, which, given the likely huge number of drawings that may have accumulated over the years, could prove to be an extremely long term and onerous task.
Artificial intelligence can help by providing automatic extraction tools and knowledge management from technical drawings and significantly reducing time and costs compared to manual solutions.