US 11,880,179 B2
Cloud-based analytics for industrial automation
John Strohmenger, Strongsville, OH (US); Jessica L. Korpela, Milwaukee, WI (US); Matthew W. Fordenwalt, Hudson, OH (US); Jan Pingel, Weddington, NC (US); Stephen L Hickox, Middlefield, OH (US); and Douglas B Weber, Glendale, WI (US)
Assigned to Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed by Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed on Jan. 14, 2022, as Appl. No. 17/648,098.
Application 17/648,098 is a continuation of application No. 14/658,345, filed on Mar. 16, 2015, granted, now 11,243,505.
Prior Publication US 2022/0137582 A1, May 5, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 19/042 (2006.01); G05B 15/02 (2006.01); G06Q 10/06 (2023.01); G05B 23/02 (2006.01)
CPC G05B 19/0428 (2013.01) [G05B 15/02 (2013.01); G05B 23/0237 (2013.01); G06Q 10/06 (2013.01); G05B 2219/23026 (2013.01); G05B 2219/23068 (2013.01); G05B 2219/24015 (2013.01); G05B 2219/32187 (2013.01); Y02P 90/02 (2015.11); Y02P 90/80 (2015.11)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
with regard to a first time period, generating, by a system comprising a processor, a first model representative of an industrial automation system, comprising a set of devices, based at least in part on a first result of first analytics performed on a first subset of a set of industrial data obtained from the set of devices of the industrial automation system, wherein the first result comprises a correlation between a first item of interest relating to a variable associated with an industrial process associated with the industrial automation system and a second item of interest relating to a production output of the industrial automation system, wherein the first model is utilized to perform a first simulation of first operation of the industrial automation system with regard to the first time period, and wherein the first model, in part, is representative of the correlation and the variable associated with the industrial process;
with regard to the first time period, based at least in part on the first simulation, the correlation, and the first analytics, determining, by the system, a first formula for the variable associated with the industrial process that corresponds to a first level of influence the variable has on the production output of the industrial automation system, wherein the first formula is part of the industrial process and utilized to configure a device associated with the industrial process, and wherein the set of devices comprises the device;
subsequently generating, by the system, a second model representative of the industrial automation system, with regard to a second time period, based at least in part on the correlation and a second result of second analytics performed on a second subset of the set of industrial data, wherein the second model is utilized to perform a second simulation of second operation of the industrial automation system, and wherein the second model, in part, is representative of the correlation and the variable associated with the industrial process; and
with regard to the second time period, based at least in part on the second simulation, the correlation, and the second analytics:
determining, by the system, the first level of influence of the variable on the production output has changed to a second level of influence, and
determining, by the system, a second formula for the variable that corresponds to the second level of influence the variable has on the production output to facilitate improving a performance of the industrial automation system, wherein the second formula is implemented as part of the industrial process, and wherein the device is reconfigured based at least in part on the second formula.