US 12,443,857 B2
Method and system for semi-automated generation of machine-readable skill descriptions of production modules
Anna Himmelhuber, Maxhütte-Haidhof (DE); Sonja Zillner, Berlin (DE); and Stephan Grimm, Munich (DE)
Assigned to SIEMENS AKTIENGESELLSCHAFT, Munich (DE)
Filed by Siemens Aktiengesellschaft, Munich (DE)
Filed on Apr. 26, 2021, as Appl. No. 17/240,460.
Claims priority of application No. 20171599 (EP), filed on Apr. 27, 2020.
Prior Publication US 2021/0334670 A1, Oct. 28, 2021
Int. Cl. G06N 5/02 (2023.01); G06N 20/00 (2019.01)
CPC G06N 5/02 (2013.01) [G06N 20/00 (2019.01)] 6 Claims
OG exemplary drawing
 
1. A method for semi-automated generation of a machine-readable skill description of a production module of a flexible production environment comprising a plurality of production lines with one or more production modules each having a set of provided skills, the method comprising:
one or more processors executing the steps of:
processing knowledge stored in a knowledge storage with an inductive learning component, the inductive learning component performing class expression learning to create class expressions, with each class expression representing a constraint or property of a skill of the production module, wherein the processed knowledge contains at least:
instance data of operations previously carried out by the production module and/or other production modules; and
an ontology containing at least a class hierarchy of several production modules and parameters of at least some of the production modules;
ordering, by a metric, the class expressions, thereby forming an ordered recommender list;
outputting, by a display of a user interface, the ordered recommender list to a user;
receiving, by the user interface, one or more user interactions, the user interactions providing a selection of class expressions from the ordered recommender list;
building the machine-readable skill description with the selected class expressions for the set of provided skills of at least one production module;
storing the machine-readable skill description in the knowledge storage to enrich the knowledge storage;
as a function of building the machine-readable skill description for the set of provided skills of at least one production module, matching the set of provided skills with a set of required skills of a manufacturing operation;
in response to the matching, automatically creating a production plan by assigning one or more production steps of the manufacturing operation to the at least one production module as part of the production plan; and
automatically executing the production plan by controlling the at least one production module to produce a product.