Maschinelles Lernen einer Funktion zur Vorhersage von Einschränkungen für eine 2D-Skizze, die mindestens einen Teil eines Mechanischen Teils Repräsentiert

Details

Veröffentlichungs-Nr.

EP4807609

Anmeldetag

12. März 2025

Veröffentlichung

16. September 2026

Rechtsraum

EP

Abstract

The disclosure concerns a method for machine-learning a function configured constraints prediction for a sketch representing at least a portion of a mechanical part. The method comprises providing a training dataset of training examples, each comprising a graph representing a sketch. The graph comprises object nodes each representing a geometric object, geometry nodes each representing a geometric property, topological edges each representing a topological link, geometrical edges each connecting a geometry node to one object node, and constraint edges each representing a constraint and labeled with a label of a predefined set of labels each representing a constraint of a predefined constraints set. The method comprises training the function to take as input a graph representing a sketch and to output constraints each of a constraint edge of the graph and each belonging to the predefined constraints set.

Anmelder

Firma

Dassault Systèmes

Land

🇫🇷 Frankreich