A method and system for predicting system states is provided. The method includes receiving a first reference model associated with a first operational attribute of a system from a first integrated circuit internally comprising a first processing circuit and a first sensor measuring a first parameter of the system. Additionally, a second reference model associated with a second operational attribute of the system is received from a second integrated circuit internally comprising a second processing circuit and a second sensor measuring a second parameter of the system. A combination reference model based on the first reference model and the second reference model is generated and a predicted future state and associated operational attributes for the system are determined based on the combination reference model.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A distributed sensor network based predictive method comprising: receiving, by a processor of a hardware device from a first integrated circuit, a first reference model associated with a first operational attribute of a hardware system, wherein said first integrated circuit internally comprises a first processing circuit and a first sensor, wherein said first sensor measures a first parameter of said hardware system, and wherein said first processing circuit generates said first reference model based on said first parameter; receiving, by said processor from a second integrated circuit, a second reference model associated with a second operational attribute of said hardware system, wherein said second integrated circuit internally comprises a second processing circuit and a second sensor, wherein said second sensor measures a second parameter of said hardware system, wherein said second processing circuit generates said second reference model based on said second parameter, wherein said second operational attribute differs from said first operational attribute, and wherein said second parameter differs from said first parameter; generating, by said processor, a combination reference model based on said first reference model and said second reference model; and generating, by said processor based on said combination reference model, a predicted future state and associated operational attributes for said hardware system. 2. The method of claim 1, wherein said first processing circuit generates said first reference model via execution of a first executable algorithm, and wherein said second processing circuit generates said second reference model via execution of a second executable algorithm. 3. The method of claim 2, wherein said first executable algorithm differs from said second executable algorithm. 4. The method of claim 2, wherein said first executable algorithm comprises a same algorithm as said second executable algorithm. 5. The method of claim 1, wherein said first integrated circuit is communicatively connected to said second integrated circuit. 6. The method of claim 2, wherein said first executable algorithm and said second executable algorithm each comprises an algorithm selected from the group consisting of a deep learning algorithm and a machine learning algorithm. 7. The method of claim 1, wherein said first processing circuit is integrated with said first sensor, and wherein said second processing circuit is integrated with said second sensor. 8. The method of claim 1, wherein said first processing circuit is independent from said first sensor, and wherein said second processing circuit is independent from said second sensor. 9. The method of claim 1, wherein said first processing circuit is integrated with said first sensor, and wherein said second processing circuit is independent from said second sensor. 10. The method of claim 1, wherein said first sensor and said second sensor each comprise a sensor selected from the group consisting of a GPS sensor, an RFID sensor, a temperature sensor, an infrared sensor, a video retrieval device, a pressure sensor, and a flow sensor. 11. The method of claim 1, further comprising: providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the control hardware, said code being executed by the computer processor to implement: said receiving said first reference model, said receiving said second reference model, said generating said combination reference model, and said generating said predicted future state and associated operational attributes for said hardware system. 12. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a processor of a hardware device implements a distributed sensor network based predictive method, said method comprising: receiving, by said processor from a first integrated circuit, a first reference model associated with a first operational attribute of a hardware system, wherein said first integrated circuit internally comprises a first processing circuit and a first sensor, wherein said first sensor measures a first parameter of said hardware system, and wherein said first processing circuit generates said first reference model based on said first parameter; receiving, by said processor from a second integrated circuit, a second reference model associated with a second operational attribute of said hardware system, wherein said second integrated circuit internally comprises a second processing circuit and a second sensor, wherein said second sensor measures a second parameter of said hardware system, wherein said second processing circuit generates said second reference model based on said second parameter, wherein said second operational attribute differs from said first operational attribute, and wherein said second parameter differs from said first parameter; generating, by said processor, a combination reference model based on said first reference model and said second reference model; and generating, by said processor based on said combination reference model, a predicted future state and associated operational attributes for said hardware system. 13. The computer program product of claim 12, wherein said first processing circuit generates said first reference model via execution of a first executable algorithm, and wherein said second processing circuit generates said second reference model via execution of a second executable algorithm. 14. The computer program product of claim 13, wherein said first executable algorithm differs from said second executable algorithm. 15. A hardware device comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a distributed sensor network based predictive method comprising: receiving, by said processor from a first integrated circuit, a first reference model associated with a first operational attribute of a hardware system, wherein said first integrated circuit internally comprises a first processing circuit and a first sensor, wherein said first sensor measures a first parameter of said hardware system, and wherein said first processing circuit generates said first reference model based on said first parameter; receiving, by said processor from a second integrated circuit, a second reference model associated with a second operational attribute of said hardware system, wherein said second integrated circuit internally comprises a second processing circuit and a second sensor, wherein said second sensor measures a second parameter of said hardware system, wherein said second processing circuit generates said second reference model based on said second parameter, wherein said second operational attribute differs from said first operational attribute, and wherein said second parameter differs from said first parameter; generating, by said processor, a combination reference model based on said first reference model and said second reference model; and generating, by said processor based on said combination reference model, a predicted future state and associated operational attributes for said hardware system. 16. A sensor based predictive method comprising: initializing, by a first processing circuit internal to a first integrated circuit, a first sensor internal to said first integrated circuit; measuring, by said first sensor, a first parameter of a hardware system; generating based on said first parameter, by said first processing circuit, a first reference model associated with a first operational attribute of said hardware system; and transmitting, by said first integrated circuit to a processor of a hardware device, said first reference model, wherein a second reference model associated with a second operational attribute of said hardware system is received by said processor from a second integrated circuit, wherein said second integrated circuit internally comprises a second processing circuit and a second sensor, wherein said second sensor measures a second parameter of said hardware system, wherein said second processing circuit generates said second reference model based on said second parameter, wherein said second operational attribute differs from said first operational attribute, wherein said second parameter differs from said first parameter, wherein said a combination reference model is generated by said processor based on said first reference model and said second reference model, and wherein a predicted future state and associated operational attributes are generated for said hardware system based on said combination reference model. 17. The method of claim 16, wherein said first integrated circuit, said second integrated circuit, and said hardware device are comprised by said hardware system. 18. The method of claim 17, wherein said first processing circuit generates said first reference model via execution of a first executable algorithm, and wherein said second processing circuit generates said second reference model via execution of a second executable algorithm. 19. The method of claim 18, wherein said first executable algorithm differs from said second executable algorithm. 20. The method of claim 18, wherein said first executable algorithm comprises a same algorithm as said second executable algorithm. 21. The method of claim 16, wherein said first integrated circuit is communicatively connected to said second integrated circuit. 22. The method of claim 16, wherein said first processing circuit is integrated with said first sensor. 23. The method of claim 16, wherein said first processing circuit is independent from said first sensor. 24. The method of claim 16, wherein said first sensor and said second sensor each comprise a sensor selected from the group consisting of a GPS sensor, an RFID sensor, a temperature sensor, an infrared sensor, a video retrieval device, a pressure sensor, and a flow sensor. 25. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a first processing circuit internal to a first integrated circuit implements sensor based predictive method, said method comprising: initializing, by said first processing circuit, a first sensor internal to said first integrated circuit; measuring, by said first sensor, a first parameter of a hardware system; generating based on said first parameter, by said first processing circuit, a first reference model associated with a first operational attribute of said hardware system; and transmitting, by said first integrated circuit to a processor of a hardware device, said first reference model, wherein a second reference model associated with a second operational attribute of said hardware system is received by said processor from a second integrated circuit, wherein said second integrated circuit internally comprises a second processing circuit and a second sensor, wherein said second sensor measures a second parameter of said hardware system, wherein said second processing circuit generates said second reference model based on said second parameter, wherein said second operational attribute differs from said first operational attribute, wherein said second parameter differs from said first parameter, wherein said a combination reference model is generated by said processor based on said first reference model and said second reference model, and wherein a predicted future state and associated operational attributes are generated for said hardware system based on said combination reference model.