Cloud-based analytics for industrial automation

A method, comprising:

• receiving, by a system comprising a processor, a set of industrial data from a set of devices of an industrial automation system for storage in a data store associated with the industrial automation system, wherein the set of devices comprises an industrial device;
• performing, by the system, analytics on the set of industrial data;
• based at least in part on the analytics, determining, by the system, respective correlations between respective items of interest associated with the industrial automation system to facilitate enhancing performance of the industrial automation system, wherein the respective correlations between the respective items of interest comprise a first item related correlation between a first item of interest and a second item of interest of the respective items of interest, wherein the first item related correlation is determined based at least in part on a result of the analytics, and wherein the first item of interest relates to a variable of the industrial device of the industrial automation system and the second item of interest relates to a production outcome of the industrial automation system, wherein the analytics comprise a first analytics and a second analytics;
• generating, by the system, a first model that corresponds to and is representative of the industrial automation system, with regard to a first time period, based at least in part on the first item related correlation and the first analytics performed on a first subset of the set of industrial data;
• performing, by the system, a first simulation of first operation of the industrial automation system, with regard to the first time period, based at least in part on the first model, wherein the first model, in part, is representative of the first item related correlation and the variable of the industrial device;
• during the first time period, based at least in part on the first simulation of the first operation of the industrial automation system using the first model, the first item related correlation, and the first analytics, determining, by the system, a first formula for the variable of the industrial device that indicates a first level of influence the variable has on the production outcome of the industrial automation, wherein the first formula is implemented in the industrial automation system and relates to a configuration of the industrial device, and wherein the configuration of the industrial device is based at least in part on the first formula;
• modifying, by the system, the first model to generate a second model that corresponds to and is representative of the industrial automation system, with regard to a second time period, based at least in part on the first item related correlation and the second analytics performed on a second subset of the set of industrial data;
• performing, by the system, a second simulation of second operation of the industrial automation system with regard to the second time period based at least in part on the second model, wherein the second model, in part, is representative of the first item related correlation and the variable of the industrial device;
• and
• during the second time period, based at least in part on the second simulation of the second operation of the industrial automation system using the second model, the first item related correlation, and the second analytics:
• determining, by the system, that the first level of influence of the variable on the production outcome has changed, and
• in response to determining that the first level of influence of the variable on the production outcome has changed, determining, by the system, a second formula for the variable that indicates a second level of influence the variable has on the production outcome, to facilitate the enhancing of the performance of the industrial automation system, wherein the second formula is implemented in the industrial automation system and relates to a reconfiguration of the industrial device, and wherein the reconfiguration of the industrial device is based at least in part on the second formula.

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

• collecting a set of industrial data from a set of devices of an industrial automation system for storage in a data store associated with the industrial automation system, wherein the set of devices comprises an industrial device;
• performing analytics on the set of industrial data;
• determining respective correlations between respective items of interest associated with the industrial automation system, based at least in part on the analytics, to facilitate improving performance associated with the industrial automation system, wherein the respective correlations comprise a first correlation between the first item of interest and a second item of interest, and wherein the first item of interest relates to a variable of an industrial device of the industrial automation system and the second item of interest relates to a production outcome of the industrial automation system, wherein the analytics comprise a first analytics and a second analytics;
• creating a first model that is representative of the industrial automation system, with regard to a first time interval, based at least in part on the first correlation and the first analytics performed on a first subset of the set of industrial data;
• executing a first simulation of first operation of the industrial automation system, with regard to the first time interval, based at least in part on the first model, wherein the first model, in part, is representative of the first correlation and the variable of the industrial device with regard to the first time interval;
• during the first time interval, based at least in part on the first simulation of the first operation of the industrial automation system using the first model, the first correlation, and the first analytics, determining a first formula for the variable of the industrial device that relates 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 automation system and relates to a configuration of the industrial device, and wherein the configuration of the industrial device is based at least in part on the first formula;
• adjusting the first model to create a second model that is representative of the industrial automation system, with regard to a second time interval, based at least in part on the first correlation and the second analytics performed on a second subset of the set of industrial data;
• executing a second simulation of second operation of the industrial automation system with regard to the second time interval based at least in part on the second model, wherein the second model, in part, is representative of the first correlation and the variable of the industrial device with regard to the second time interval;
• and
• during the second time interval, based at least in part on the second simulation of the second operation of the industrial automation system using the second model, the first correlation, and the second analytics:
• determining that the first amount of influence of the variable on the production outcome has changed, and
• in response to determining that the first amount of influence of the variable on the production outcome has changed, determining a second formula for the variable that relates to a second amount of influence the variable has on the production outcome, to facilitate the improving of the performance associated with the industrial automation system, wherein the second formula is part of the industrial automation system and relates to a reconfiguration of the industrial device, and wherein the reconfiguration of the industrial device is based at least in part on the second formula.