System and method for adjusting a configuration of a facility ai component to produce a favorable facility output value

Abstract

Systems and methods for adjusting a configuration of a facility AI component to produce a favorable facility output value. An example system may include a facility with a core task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values, facility resource profiles, and corresponding historical facility outcome values. The controller may further include a facility prediction circuit to operate an adaptive learning system configured to train a facility artificial intelligence (AI) configuration circuit in response to the historical facility parameter values and the corresponding outcome values. The facility description may also interpret a plurality of present state facility parameter values and the AI configuration circuit may adjust, in response to present state facility parameter values, facility resource profiles and a configuration of a facility AI component to produce a favorable facility output.

What is claimed is: 
     
         1 . A transaction-enabling system comprising:
 a facility comprising a core task;   a controller, comprising:   a facility description circuit structured to interpret a plurality of historical facility parameter values, a set of facility resource profiles, and a corresponding plurality of historical facility outcome values;   a facility prediction circuit structured to operate an adaptive learning system, wherein the adaptive learning system is configured to train a facility artificial intelligence (AI) configuration circuit in response to the plurality of historical facility parameter values and the corresponding plurality of historical facility outcome values;   wherein the facility description circuit is further structured to interpret a plurality of present state facility parameter values;   wherein the trained facility AI configuration circuit is further structured to adjust, in response to the plurality of present state facility parameter values, the set of facility resource profiles, a configuration of a facility AI component to produce a favorable facility output; and   wherein the trained facility AI configuration circuit is further structured to update the set of facility resource profiles by removing an unused facility resource profile.   
     
     
         2 . The system of  claim 1 , wherein the trained facility AI configuration circuit is further structured to adjust the configuration of the facility AI component by one of producing or selecting a favorable facility AI component configuration profile from among a set of available facility AI component configuration profiles. 
     
     
         3 . The system of  claim 1 , wherein the favorable facility output value comprises at least one value selected from the values consisting of: a production volume description of the core task; a production quality description of the core task; a facility resource utilization description; an input resource utilization description; or a production timing description of the core task. 
     
     
         4 . The system of  claim 1 , wherein the facility description circuit is further structured to interpret historical external data from at least one external data source, and wherein the adaptive learning system is further configured to train the facility AI configuration circuit in response to the historical external data. 
     
     
         5 . The system of  claim 4 , wherein the at least one external data source comprises at least one data source selected from the data sources consisting of: a social media data source; a behavioral data source; a spot market price for an energy source; or a forward market price for an energy source. 
     
     
         6 . The system of  claim 4 , wherein the facility description circuit is further structured to interpret present external data from the at least one external data source, and wherein the trained facility AI configuration circuit is further structured to adjust the configuration of the facility AI component in response to the present external data. 
     
     
         7 . The system of  claim 1 , wherein the plurality of present state facility parameter values comprises at least one value selected from the values consisting of: a production volume description of the core task; a production quality description of the core task; a facility resource utilization description; an input resource utilization description; or a production timing description of the core task. 
     
     
         8 . The system of  claim 1 , wherein the facility description circuit is further structured to interpret historical external data from at least one external data source, and wherein the adaptive learning system is further configured to train the facility AI configuration circuit in response to the historical external data. 
     
     
         9 . The system of  claim 1 , wherein the plurality of present state facility parameter values comprises a facility production value. 
     
     
         10 . The system of  claim 1 , wherein the trained facility AI configuration circuit is further structured to update the set of facility resource profiles by removing an ineffective facility resource profile. 
     
     
         11 . A method, comprising:
 interpreting a plurality of historical facility parameter values, a set of facility resource profiles, and a corresponding plurality of historical facility outcome values;   operating an adaptive learning system, thereby training a facility artificial intelligence (AI) configuration circuit in response to the plurality of historical facility parameter values and the corresponding plurality of historical facility outcome values;   operating the trained facility AI configuration circuit to interpret a plurality of present state facility parameter values;   operating the trained facility AI configuration circuit to adjust, in response to the plurality of present state facility parameter values, the set of facility resource profiles, and a configuration of a facility AI component to produce a favorable facility output value; and   operating the trained facility AI configuration circuit to update the set of facility resource profiles by removing an unused facility resource profile.   
     
     
         12 . The method of  claim 11 , further comprising operating the trained facility AI configuration circuit to adjust the configuration of the facility AI component by one of producing or selecting a favorable facility AI component configuration profile from among a set of available facility AI component configuration profiles. 
     
     
         13 . The method of  claim 11  further comprising interpreting historical external data from at least one external data source, and further operating the trained facility AI configuration circuit in response to the historical external data. 
     
     
         14 . The method of  claim 13 , further comprising interpreting present external data from the at least one external data source, and further operating the trained facility AI configuration circuit is to adjust the configuration of the facility AI component in response to the present external data. 
     
     
         15 . The method of  claim 11 , wherein the favorable facility output value comprises at least one value selected from the values consisting of: a production volume description of a core task; a production quality description of a core task; a facility resource utilization description; an input resource utilization description; or a production timing description of a core task. 
     
     
         16 . The method of  claim 14 , wherein the at least one external data source comprises at least one data source selected from the data sources consisting of: a social media data source; a behavioral data source; a spot market price for an energy source; or a forward market price for an energy source. 
     
     
         17 . The method of  claim 11 , wherein the plurality of present state facility parameter values comprises at least one value selected from the values consisting of: a production volume description of a core task; a production quality description of a core task; a facility resource utilization description; an input resource utilization description; or a production timing description of a core task. 
     
     
         18 . The method of  claim 11 , further comprising interpreting historical external data from at least one external data source, and wherein the adaptive learning system is further configured to train the facility AI configuration circuit in response to the historical external data. 
     
     
         19 . The method of  claim 11 , wherein the plurality of present state facility parameter values comprises a facility production value. 
     
     
         20 . The method of  claim 11 , further comprising updating the set of facility resource profiles by removing an ineffective facility resource profile.