US 12,190,248 B2
Systems and methods for automated parsing of schematics
Louis Poirier, Paris (FR); Willy Douhard, Paris (FR); Shouvik Mani, San Jose, CA (US); and Dan Constantini, Paris (FR)
Assigned to C3.ai, Inc., Redwood City, CA (US)
Filed by C3.ai, Inc., Redwood City, CA (US)
Filed on Feb. 9, 2021, as Appl. No. 17/171,996.
Application 17/171,996 is a continuation of application No. PCT/US2020/050271, filed on Sep. 10, 2020.
Claims priority of provisional application 62/899,011, filed on Sep. 11, 2019.
Prior Publication US 2021/0319327 A1, Oct. 14, 2021
Int. Cl. G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/088 (2023.01)
CPC G06N 3/088 (2013.01) [G06N 3/045 (2023.01)] 18 Claims
OG exemplary drawing
 
1. A method for generating a digital representation of a system from engineering documents of the system comprising one or more schematics and a components table, the method comprising:
(a) classifying, using a deep learning algorithm, (i) each of a plurality of symbols in the one or more schematics as a component and (ii) each group of related symbols as an assembly, wherein classifying each group of related symbols as an assembly comprises, for each group, detecting dashed lines in the one or more schematics that delineate the group;
(b) determining connections between the components and the assemblies;
(c) associating a subset of the components and the assemblies with entries in the components table; and
(d) generating the digital representation of the system from the components, the assemblies, the connections, and the associations, wherein the digital representation of the system comprises at least a digital model of the system and a machine-readable bill of materials.