Process mapping and monitoring using artificial intelligence

A system for improving emergency information delivery comprising:

• at least one processor,
• at least one non-transitory processor readable medium with instructions stored thereon configured and arranged to:
• compare asset data of a primary asset in an industrial system to one or more alarm limits, the asset data of the primary asset including at least one parameter;
• generate an alarm when a primary asset's parameter exceeds the one or more alarm limits;
• identify at least a second asset in the industrial system having a relationship with the primary asset by performing a statistical analysis on asset data of all the assets within the industrial system, in response to the primary asset's parameter exceeding the one or more alarm limits;
• determine correlation links between attributes of the primary asset and attributes of the at least second asset by executing at least one process simulation of the industrial system, the correlation links being used to generate an attribute map;
• generate secondary information for display in a graphical user interface (GUI) in conjunction with alarm information by processing a set of attributes from the attribute map through a AI model, the secondary information being produced as an output of the AI model;
• and
• generate a display comprising a visual representation of the alarm and the secondary information based on the primary asset's parameter exceeding the one or more alarm limits, the alarm information being continuously updated in the display as the current system time changes, by applying one or more system-defined rules, including grouping alarm records by alarm identifier, determining a display end time based on a comparison between a current system time and a predefined time control end time.

A system for improving emergency information delivery comprising:

• at least one processor,
• at least one non-transitory processor readable medium with instructions stored thereon configured and arranged to:
• compare asset data of a primary asset in an industrial system to one or more alarm limits, the asset data of the primary asset including at least one parameter;
• identify at least a second asset in the industrial system having a relationship with the primary asset by performing a statistical analysis on asset data of all the assets within the industrial system, when the at least one parameter exceeds the one or more alarm limits;
• determine correlation links between attributes of the primary asset and attributes of the at least second asset by executing at least one process simulation of the industrial system, the correlation links being used to generate an attribute map;
• generate secondary information for display in a graphical user interface (GUI) in conjunction with alarm information by processing a set of attributes from the attribute map through a AI model, the secondary information being produced as an output of the AI model;
• generate a display on the GUI based on the parameter of the primary asset exceeding the one or more alarm limits, the display including alarm information, asset data information, and the secondary information, the alarm information being continuously updated in the display as the current system time changes, by applying one or more system-defined rules, including grouping alarm records by alarm identifier, determining a display end time based on a comparison between a current system time and a predefined time control end time, the asset data information being displayed in a plurality of sections, each section being ranked based on importance, wherein displaying of a section during resizing of the display is dependent on the ranking of the section.