Cloud-based analytics for industrial automation

A system, comprising:

• a non-transitory computer-readable memory that stores computer-executable components;
• and
• a processor, operatively coupled to the memory, that executes the computer-executable components, the computer-executable components comprising:
• an analytics component that performs first analytics on a first subset of a set of industrial data received from a set of devices of an industrial automation system, and, based at least in part on a first result of the first analytics, determines a correlation between a first item of interest relating to a first characteristic associated with the industrial automation system and a second item of interest relating to a second characteristic associated with the industrial automation system;
• a modeler component that generates a first model that corresponds to the industrial automation system, with regard to a first time period, based at least in part on the first result of the first analytics, 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, wherein the first model, in part, is representative of the correlation and the first characteristic associated with the industrial automation system,
• wherein, with regard to the first time period, based at least in part on the first simulation, the correlation, and the first analytics, the analytics component determines a first formula associated with the first characteristic associated with the industrial automation system that corresponds to a first level of influence the first characteristic has on the second characteristic associated with the industrial automation system, wherein the first formula is part of the industrial automation system and utilized to configure a device of the set of devices,
• wherein, with regard to a second time period, the analytics component subsequently performs second analytics on a second subset of the set of industrial data,
• wherein, the modeler component subsequently generates a second model that corresponds to the industrial automation system, with regard to the second time period, based at least in part on the correlation and a second result of the second analytics, wherein the second model is utilized to perform a second simulation of second operation of the industrial automation system, wherein the second model, in part, is representative of the correlation and the first characteristic associated with the industrial automation system,
• wherein, with regard to the second time period, based at least in part on the second simulation, the correlation, and the second analytics, the analytics component determines the first level of influence that the first characteristic had on the second characteristic has changed to a second level of influence the first characteristic has on the second characteristic associated with the industrial automation system, and determines and implements a second formula associated with the first characteristic that corresponds to the second level of influence the first characteristic has on the second characteristic to facilitate improving operation of the industrial automation system, and wherein the second formula is part of the industrial automation system and utilized to reconfigure the device.

A non-transitory machine-readable medium storing machine-executable instructions that, in response to execution, cause a system comprising a processor to perform operations, comprising:

• with regard to a first time interval, creating 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 relating to an industrial process of the industrial automation system and a second item of interest relating to a production outcome of the industrial automation system, wherein a first simulation of first operation of the industrial automation system is executed based at least in part on the first model, and wherein the first model, in part, is representative of the correlation and the variable relating to the industrial process;
• with regard to the first time interval, 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 relating to the industrial process that corresponds to a first amount of influence the variable has on the production outcome 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 creating a second model representative of the industrial automation system, with regard to a second time interval, based at least in part on a second result of second analytics performed on a second subset of the set of industrial data, wherein a second simulation of second operation of the industrial automation system is executed based at least in part on the second model, and wherein the second model, in part, is representative of the correlation and the variable relating to the industrial process;
• and
• with regard to the second time interval, based at least in part on the second simulation, the correlation, and the second analytics:
• determining that the first amount of influence the variable has on the production outcome has changed to a second amount of influence, and
• in response to determining that the first amount of influence the variable has on the production outcome has changed to the second amount of influence, determining a second formula for the variable that relates to the second amount of influence the variable has on the production outcome, to facilitate enhancing a performance of the industrial automation system, wherein the second formula is part of the industrial automation process and relates to a reconfiguration of the industrial device, and wherein the device is reconfigured based at least in part on the second formula.