Ai-based orchestration in industrial control systems

An orchestration system of an industrial system having a process control system (PCS), the orchestration system comprising;

• at least one memory configured to store a plurality of programmable instructions;
• and
• at least one processing device in communication with the memory, wherein the processing device, upon execution of the plurality of programmable instructions is configured to, autonomously or semi-autonomously:
• perform a plurality of tasks for monitoring the industrial system, including the PCS, each of the plurality of tasks being performed using a plurality of inputs related to functionality of at least one controller of the PCS, the at least one controller having at least one control function related to a physical aspect of the PCS;
• for each of the plurality of tasks performed, analyze one or more dynamic states of the PCS and the PCS's at least one controller using at least one machine learning (ML) algorithm, the one or more dynamic states being affected by the plurality of inputs;
• and
• perform, cause to be performed, or advise to perform an action responsive to an output of the at least one ML algorithm, the action adjusting at least one of functionality of the at least one controller and functionality of or a setting used by or affecting a component of the PCS that affects the at least one controller.

A non-transitory computer readable storage medium and one or more computer programs embedded therein, the computer programs comprising instructions, which when executed by a computer system, cause the computer system to, autonomously or semi-autonomously:

• perform a plurality of tasks for monitoring an industrial system, including a process control system (PCS) of the industrial system, each of the plurality of tasks being performed using a plurality of inputs related to functionality of at least one controller of the PCS, the at least one controller having at least one control function related to a physical aspect of the PCS;
• for each of the plurality of tasks performed, analyze one or more dynamic states of the PCS and the PCS's at least one controller using at least one machine learning (ML) algorithm, the one or more dynamic states being affected by the plurality of inputs;
• and
• perform, cause to be performed, or advise to perform an action responsive to an output of the at least one ML algorithm, the action adjusting at least one of functionality of the at least one controller and functionality of or a setting used by or affecting a component of the PCS that affects the at least one controller.