Industrial Batch Processing Operation Control for Use with Artificial Intelligence (AI) Models

A non-transitory, tangible, computer-readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to perform operations comprising:

• receiving a set of data associated with one or more industrial devices of an industrial system;
• retrieving one or more pre-processing files and one or more training datasets files associated with the one or more industrial devices from a database, wherein the one or more pre-processing files are configured to transform the data for generating a model representative of the one or more industrial devices, and wherein the one or more training dataset files are representative of one or more operational characteristics of the one or more industrial devices over time;
• generating a set of prediction data representative of one or more expected operations of the one or more industrial devices based on the set of data and the model;
• determining one or more commands for adjusting one or more operational settings of the one or more industrial devices based on the set of prediction data;
• and
• sending the one or more commands to the one or more industrial devices.

A method comprising:

• receiving, via processing circuitry, a set of data associated with one or more industrial devices of an industrial system;
• retrieving, via the processing circuitry, one or more pre-processing files and one or more training datasets files associated with the one or more industrial devices from a database, wherein the one or more pre-processing files are configured to transform the data for generating a model representative of the one or more industrial devices, and wherein the one or more training dataset files are representative of one or more operational characteristics of the one or more industrial devices over time;
• generating, via the processing circuitry, a set of prediction data representative of one or more expected operations of the one or more industrial devices based on the set of data and the model;
• determining, via the processing circuitry, one or more commands for adjusting one or more operational settings of the one or more industrial devices based on the set of prediction data;
• and
• sending, via the processing circuitry, the one or more commands to the one or more industrial devices.