Method and system for providing recommendations concerning a configuration process
AssigneeSiemens Aktiengesellschaft
InventorsMarcel Hildebrandt, Serghei Mogoreanu
Life of this patent
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Abstract
A computer-implemented method for providing recommendations, REC, concerning a configuration process is provided to configure an industrial system, SYS, the method including the steps of calculating by a trained graph neural network, GNN, scores, s, for components, c, of a set, C, of configurable component types, ct; generating recommendations, REC, for introducing at least one additional component, c, into the industrial system, SYS, on the basis of the calculated scores, s; and outputting the generated recommendations, REC, to a user by a user interface or executing the generated recommendations.
Claims14
A computer-implemented method for providing recommendations REC concerning a configuration process to configure an industrial system SYS, the method comprising:
- calculating by a trained graph neural network GNN, scores s for components c of a set C of configurable component types ct;
- generating recommendations REC for introducing at least one additional component c into the industrial system SYS on the basis of the calculated scores s;
- outputting the generated recommendations REC to a user by a user interface or executing the generated recommendations;
- and
- wherein the graph neural network GNN is trained to encode component features and a topology of the industrial system SYS configured by the configuration process, wherein the component features comprise static features and configurable attributes of a respective component c.
A recommendation engine for providing recommendations REC concerning a configuration process to configure an industrial system SYS,
- wherein the recommendation engine is configured to calculate scores s by a trained graph neural network GNN for components c of a set C of configurable component types ct and to generate automatically recommendations REC for introducing at least one additional component c into the industrial system SYS on the basis of the calculated scores s, wherein the generated recommendations REC are output to a user by a user interface or executed automatically by the recommendation engine, and wherein the graph neural network GNN is trained to encode component features and a topology of the industrial system SYS configured by the configuration process, wherein the component features comprise static features and configurable attributes of a respective component c.
Dependencies are inferred from the claim text.