US 12,314,039 B2
Providing a model as an industrial automation object
Jordan C. Reynolds, Austin, TX (US); John J. Hagerbaumer, Mequon, WI (US); Troy W. Mahr, Pleasant Prairie, WI (US); Thomas K. Jacobsen, Wake Forest, NC (US); and Giancarlo Scaturchio, Pisa (IT)
Assigned to Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed by Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed on Sep. 24, 2021, as Appl. No. 17/484,031.
Prior Publication US 2023/0102717 A1, Mar. 30, 2023
Int. Cl. G05B 19/418 (2006.01); G05B 19/05 (2006.01); G05B 23/02 (2006.01); G06N 20/00 (2019.01)
CPC G05B 19/41845 (2013.01) [G05B 19/05 (2013.01); G05B 19/4183 (2013.01); G05B 19/4185 (2013.01); G05B 23/0272 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a memory that stores executable components; and
a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising:
an interface component configured to:
display, on a graphical user interface in an industrial automation environment, a graphical representation of a machine learning asset comprising at least one machine learning model, wherein the graphical representation includes:
an asset visual element representing the machine learning asset,
an output visual indicator representing an output from the at least one machine learning model,
a status visual element depicting an operational status of the machine learning asset, and
one or more selectable elements for controlling a behavior of the machine learning asset; and
adjust the graphical representation based at least in part on the output from the at least one machine learning model; and
a process control component configured to adjust at least one parameter for controlling an industrial device in the industrial automation environment based at least in part on the output from the at least one machine learning model, wherein the industrial device is also visible to an operator viewing the graphical user interface from inside the industrial automation environment.