Systems and methods for automated control of an industrial process

A system for automated control of an industrial process system, comprising:

• a data historian storing measured process data sensed by a plurality of sensors within the industrial process system;
• a processor;
• and,
• memory storing a control engine as computer readable instructions that, when executed by the processor, cause the processor to:
• analyze the measured process data stored by the data historian to identify conditions within the industrial process system, and output an artificial intelligence control setpoint using a machine learning routine to control the industrial process system to an operating condition;
• receive the artificial intelligence control setpoint for controlling the operating condition of the industrial process system;
• compare the artificial intelligence control setpoint to a static threshold and a dynamic threshold;
• and
• output a control signal, to manipulate the operating condition, as one of the artificial intelligence control setpoint, the static threshold, or the dynamic threshold based on a relationship of the artificial intelligence control setpoint to the static threshold or dynamic threshold.