The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 31, 2026

Filed:

Sep. 04, 2024
Applicant:

Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US);

Inventors:

Liudmila Domakhina, Toronto, CA;

Mohammad Esmalifalak, Toronto, CA;

Stuart Fergusson, Toronto, CA;

Min Hua Yu, Toronto, CA;

Hyo Jung S Son, Calgary, CA;

Tareq Al-Masri, Toronto, CA;

Assignee:

ROCKWELL AUTOMATION TECHNOLOGIES, INC., Mayfield Heights, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/20 (2023.01); G06Q 10/04 (2023.01); G06Q 10/0635 (2023.01); G06Q 10/087 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); G06Q 10/04 (2013.01); G06Q 10/0635 (2013.01); G06Q 10/087 (2013.01);
Abstract

A work order management system automates the process of scheduling maintenance tasks and generating corresponding work orders via analysis of monitored data generated by the industrial assets. The work order management system can monitor status and operational data from industrial devices on the plant floor and initiate creation of work orders based on a determination that the monitored industrial data indicates a current or predicted performance risk requiring investigation or maintenance. The system can leverage generative artificial intelligence (AI) or other types of AI in connection with determining when and how to schedule a maintenance task intended to mitigate asset risk. The system dynamically updates the work orders in response to changing contextual conditions within the plant to ensure that work order priority, scheduling, and resource allocations satisfy a defined maintenance optimization criterion.


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