Abstract: Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process using a trained artificial intelligence agent and a custom objective function determined based on process information from the industrial system.

Abstract: In variants, a method for industrial process control can include: determining an industrial system representation using a set of industrial system templates, wherein each template is associated with a control model and a set of attributes corresponding to control model features; determining associations between the attributes of the industrial system representation and data streams from the industrial system; and generating a set of control instructions for the industrial system based on the data streams associated with the attributes.

Abstract: In variants, a method for industrial process control can include: determining AI setpoint values using an AI agent; determining local setpoint values using a local control system; selecting a setpoint source from a set of candidate setpoint sources including the AI agent and the local control system; optionally determining a set of transition setpoint values based on setpoints provided by the setpoint source; and limiting the setpoint values; wherein the industrial system is operated based on the limited setpoint values.

Abstract: Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process. Such a plan is determined based on generating a query for information associated with the KPIs and based on receiving user-provided object information corresponding to the KPIs. The method includes receiving, at a user interface, one or more KPIs associated with an industrial process. The method includes generating, based on the one or more KPIs, at least one query for information associated with the KPI. The method includes receiving, at the user interface, a response to the at least one query. The method includes determining, by an artificial intelligence agent, a plan for optimizing the KPI.

Abstract: In variants, a method for industrial process control can include: determining AI setpoint values using an AI agent; determining local setpoint values using a local control system; selecting a setpoint source from a set of candidate setpoint sources including the AI agent and the local control system; optionally determining a set of transition setpoint values based on setpoints provided by the setpoint source; and limiting the setpoint values; wherein the industrial system is operated based on the limited setpoint values.

Abstract: In variants, a method for industrial process control can include: determining an industrial system representation using a set of industrial system templates, wherein each template is associated with a control model and a set of attributes corresponding to control model features; determining associations between the attributes of the industrial system representation and data streams from the industrial system; and generating a set of control instructions for the industrial system based on the data streams associated with the attributes.

Abstract: Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process. Such a plan is determined based on generating a query for information associated with the KPIs and based on receiving user-provided object information corresponding to the KPIs. The method includes receiving, at a user interface, one or more KPIs associated with an industrial process. The method includes generating, based on the one or more KPIs, at least one query for information associated with the KPI. The method includes receiving, at the user interface, a response to the at least one query. The method includes determining, by an artificial intelligence agent, a plan for optimizing the KPI.