US 11,747,801 B2
Systems and methods for locally modeling a target variable
Bijan SayyarRodsari, Austin, TX (US); Alexander B. Smith, Round Rock, TX (US); Kadir Liano, Pflugerville, TX (US); Wei Dai, Austin, TX (US); and Yash P. Puranik, Mayfield Heights, OH (US)
Assigned to Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed by ROCKWELL AUTOMATION TECHNOLOGIES, INC., Mayfield Heights, OH (US)
Filed on Feb. 14, 2022, as Appl. No. 17/650,995.
Application 17/650,995 is a continuation of application No. 16/146,647, filed on Sep. 28, 2018, granted, now 11,249,469.
Prior Publication US 2022/0171381 A1, Jun. 2, 2022
Int. Cl. G05B 23/02 (2006.01); G05B 19/418 (2006.01)
CPC G05B 23/0294 (2013.01) [G05B 19/41845 (2013.01); G05B 23/0254 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to:
receive a plurality of datasets associated with a plurality of operations that corresponds to a plurality of industrial automation components over a first period of time;
receive one or more target variables associated with one or more operations of one or more industrial automation components separate from the plurality of industrial automation components, a subset of the plurality of operations that corresponds to a subset of the plurality of industrial automation components, or both;
identify one or more changes in a subset of the plurality of datasets that correspond to one or more changes to the one or more target variables;
determine one or more predicted values for the one or more target variables based on the one or more changes in the subset of the plurality of datasets over a second period of time after the first period of time; and
adjust at least one operation of the one or more industrial automation components, at least one of the plurality of industrial automation components, or both based on the one or more predicted values.