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.
Patent No.:
Date of Patent:
Jun. 11, 2019
Filed:
Aug. 18, 2016
Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US);
Sharon M. Billi-Duran, Euclid, OH (US);
Christopher W. Como, Chagrin Falls, OH (US);
Edward A. Gray, Olmstead Township, OH (US);
Kyle K. Reissner, Hudson, OH (US);
Jonathan D. Walter, Broadview Heights, OH (US);
Mohit Singhai, Lyndhurst, OH (US);
Douglas J. Reichard, Fairview Park, OH (US);
Scott N. Sandler, Chagrin Falls, OH (US);
Ronald E. Bliss, Twinsburg, OH (US);
Michael J. Pantaleano, Willoughby, OH (US);
Ryan Cahalane, Chagrin Falls, OH (US);
Jessica L. Korpela, Milwaukee, WI (US);
Bruce T. McCleave, Jr., Mission Viejo, CA (US);
Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US);
Abstract
An industrial search and diagnosis system discovers available data items across heterogeneous data platforms that make up an industrial enterprise and indexes the data items in a unified searchable namespace. The system also indexes non-textual or multimedia input, including image data, video data, and audio data. This multimedia data can be indexed by the system in association with the relevant industrial systems (e.g., machines, automation systems, devices, production lines, etc.) so that the system can provide the multimedia data to the user when the relevant industrial systems are searched or invoked. The system also accepts and processes multimedia data from as search criteria or for diagnostic analysis. In an example analysis, users can submit images, audio, or video of an industrial machine or automation system, and the diagnosis system can identify an operational abnormality based on comparative analysis performed on the multimedia information.