SELF-FORMING COMMUNICATION AND CONTROL SYSTEM

1 . A computerized method for processing data of a self-forming communication and control system, the method comprising:

executing, by a processor, environment interpretation software from a first non-transitory memory causing the processor to detect and identify a plurality of objects of an environment based on a message obtained from another processor that includes at least one of a representation of environment signaling of the environment and premise messages exchanged between a set of processors to produce an identified plurality of objects and an identified object identifier for each object of the identified plurality of objects, each object comprising at least one of a physical object within the environment when the environment includes a physical environment and a virtual object within the environment when the environment includes a virtual environment, the environment signaling comprising at least one of an unencoded direct electromagnetic emission, an unencoded indirect electromagnetic emission, an encoded electromagnetic emission, an encoded electronic signal, an unencoded mechanical wave, and an encoded mechanical wave, the premise messages comprising object profile information for each object of the identified plurality of objects, the object profile information comprising one or more of object basics, object deployment information, and object availability information;

executing, by the processor, profile generation software from a second non-transitory memory to facilitate intercommunication between the environment interpretation software and the profile generation software causing the processor to exchange prescriptive information associated with each identified object identifier with an artificial intelligence (AI) memory, the prescriptive information comprising object learnings based on an interpretation of a plurality of historical object behavior observations associated with a plurality of other objects associated with a set of environments; and

executing, by the processor, object tracking software from a third non-transitory memory to facilitate intercommunication between the profile generation software and the object tracking software causing the processor to interpret further environment signaling for the identified plurality of objects within the environment using the object profile information and at least some of the prescriptive information to produce object tracking information for storage within a digital twin memory, wherein the object tracking information is available to be subsequently recovered from the digital twin memory and utilized to virtually represent at least some of the identified plurality of objects within a virtual representation of the environment.

2 . The method of claim 1 further comprising:

executing, by the processor, object learning software from a fourth non-transitory memory causing the processor to:

interpret other environment signaling for the corresponding plurality of other objects associated with the set of environments to produce other object tracking information, store the other object tracking information in the AI memory as the plurality of historical object behavior observations associated with the corresponding plurality of other objects, recover a portion of the plurality of historical object behavior observations from the AI memory, and

infer the object learnings based on an interpretation of the portion of the plurality of historical object behavior observations as the prescriptive information, the object learnings predicting future object behavior of the identified plurality of objects.

3 . The method of claim 1 further comprising:

executing, by the processor, further profile generation software from the second non-transitory memory causing the processor to produce updated object profile information for the identified plurality of objects based on corresponding identified object identifiers and updated prescriptive information associated with the identified plurality of objects within the AI memory, the updated object profile information comprising one or more of updated object basics, updated object deployment information, and updated object availability information, the updated prescriptive information comprising one or more of updated object learnings based on another interpretation of the plurality of historical object behavior observations associated with the corresponding plurality of other objects associated with the set of environments each of the other objects associated with the set of environments and an evaluation of the updated object learnings against a standard.

4 . The method of claim 1 further comprising:

executing, by the processor, dashboard software from a fifth non-transitory memory to facilitate intercommunication between the object tracking software and the dashboard software causing the processor to interpret a portion of the object tracking information for the identified plurality of objects recovered from the digital twin memory to produce dashboard information, the dashboard information comprising a representation of status of the identified plurality of objects based on the further environment signaling and in accordance with the object profile information.

5 . The method of claim 4 further comprising:

executing, by the processor, further dashboard software from the fifth non-transitory memory causing the processor to:

obtain the portion of the object tracking information that corresponds to the further environment signaling for the identified plurality of objects recovered from the digital twin memory, and

interpret the portion of the object tracking information in accordance with the object profile information to produce the dashboard information.

6 . The method of claim 4 further comprising:

executing, by the processor, prescriptive software from a sixth non-transitory memory to facilitate intercommunication between the dashboard software and the prescriptive software causing the processor to process a portion of the dashboard information to produce the prescriptive information within the AI memory, the prescriptive information comprising one or more of an interpretation of the portion of the dashboard information, an evaluation of the portion of the dashboard information against a standard, and adaptive processor-executable instructions for use with the object profile information and the further environment signaling to cause change with regards to the identified plurality of objects within the environment.

7 . The method of claim 6 further comprising:

executing, by the processor, further prescriptive software from the sixth non-transitory memory causing the processor to:

determine tracking parameters of the object tracking of the identified plurality of objects based on the object profile information, determine signaling parameters of the further environment signaling based on the identified plurality of objects, and

generate the processor-executable instructions based on the tracking parameters and the signaling parameters to facilitate subsequent collection of the further environment signaling associated with the identified plurality of objects to provide the object tracking of the identified plurality of objects within the environment.

8 . The method of claim 6 further comprising:

executing, by the processor, further prescriptive software from the sixth non-transitory memory causing the processor to:

obtain the portion of the dashboard information corresponding to a prescriptive timeframe from the digital twin memory,

process the portion of the dashboard information in accordance with the object profile information to produce preliminary prescriptive information,

determine a format for the prescriptive information based on the preliminary prescriptive information and an object knowledgebase of the AI memory,

interpret the portion of the dashboard information in accordance with the format for the prescriptive information to produce the prescriptive information, and

store the prescriptive information within the AI memory.

9 . The method of claim 1 , wherein the processor further executes the environment interpretation software from the first non-transitory memory causing the processor to detect the identified plurality of objects of the environment based on the message obtained from another processor to produce the identified plurality of objects by:

extracting the representation of the environment signaling of the environment from the message obtained from the another processor;

indicating the physical object as a particular identified object when identifying a physical object pattern from at least one of the unencoded direct electromagnetic emission, the unencoded indirect electromagnetic emission, and the unencoded mechanical wave of the environment signaling; and

indicating the virtual object as a particular detected object when identifying a virtual object pattern from at least one of the encoded electromagnetic emission, the encoded electronic signal, and the encoded mechanical wave of the environment signaling.

10 . The method of claim 1 , wherein the processor further executes the environment interpretation software from the first non-transitory memory causing the processor to produce the identified plurality of objects by:

accessing a portion of the digital twin memory that includes an object knowledgebase based on a particular identified object;

comparing an attribute of detection of the particular identified object to the portion of the digital twin memory that includes the object knowledgebase to produce the particular identified object; and

accessing the portion of the digital twin memory that includes the object knowledgebase based on the particular identified object to produce the object profile information.