Maschinenlernoptimierung eines Steuerungscodes in Industriellen Automatisierungsumgebungen

Details

Veröffentlichungs-Nr.

EP4246251

Aktenzeichen

EP23160433

Anmeldetag

7. März 2023

Veröffentlichung

20. September 2023

Rechtsraum

EP

IPC

G05B19/05G06N20/00

Abstract

Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods for applying machine learning techniques to industrial control code to detect errors, perform optimizations, and generate predictions. In some embodiments, a design application in an industrial automation environment generates a functional block diagram configured for implementation by a programmable logic controller. The design application generates feature vectors that represent the functional block diagram configured for ingestion by a machine learning model. The design application supplies the feature vectors to the machine learning model. The design application receives a machine learning output that comprises the recommendation feedback generated by the machine learning model and responsively modifies the functional block diagram based on the recommendation feedback.

Anmelder

Firma

Rockwell Automation Technologies, Inc.

Land

🇺🇸 USA

Fachgebiete