System for intelligent sensor data transfer and device manipulation leveraging quantum optimization engine

1. A computer-implemented method for intelligent data transfer, the computer-implemented method comprising:

collecting sensor data from a plurality of user devices, the plurality of user devices being connected to a device gateway in an edge layer of a network;

combining the collected sensor data with contextual data stored in a contextual information database, wherein the contextual data comprises device usage data and user data;

generating a data transfer rule set for governing data transfer from the plurality of user devices over the network based on the combined data;

calculating, using a quantum optimization engine, a data configuration flow for the plurality of user devices based on the data transfer rule set; and

executing the data configuration flow to control a flow of the sensor data transferred from the device gateway to an application server in a platform layer;

wherein the sensor data collected from the plurality of user devices and the contextual data is processed in parallel simultaneously by the quantum optimization engine.

2. The computer-implemented method of claim 1 , wherein the contextual data further comprises user interaction patterns, device usage duration data, and device usage location data.

3. The computer-implemented method of claim 1 , wherein a machine learning engine is configured for receiving the combined data and generating the data transfer rule set based on the combined data.

4. The computer-implemented method of claim 1 further comprising grouping the plurality of user devices based on the data transfer rule set and the data configuration flow, wherein the sensor data from the grouped user devices is transferred to the application server together.

5. The computer-implemented method of claim 4 , wherein the sensor data from the grouped user devices is transferred from the device gateway to the application server across a shared data channel.

6. The computer-implemented method of claim 1 , wherein executing the data configuration flow comprises controlling the flow of the sensor data over a number of data channels.

7. The computer-implemented method of claim 1 further comprising:

determining a priority of each of the plurality of user devices; and

calculating the data configuration flow based on the priority of each of the plurality of user devices, wherein an order of the sensor data transferred to the application server is based on the priority of each of the plurality of user devices.

8. The computer-implemented method of claim 1 , wherein at least one the plurality of user devices comprises an actuator configured to execute an action, and wherein the computer-implemented method further comprises:

transmitting a command from the application server in the platform layer to the device gateway in the edge layer; and

executing the command via the actuator of the at least one of the plurality of user devices.

9. A system for intelligent data transfer, the system comprising:

a memory device with computer-readable program code stored thereon;

a communication device connected to a network;

a quantum optimization engine; and

a processing device, wherein the processing device is configured to execute the computer-readable program code to:

collect sensor data from a plurality of user devices, the plurality of user devices being connected to a device gateway in an edge layer of the network;

combine the collected sensor data with contextual data stored in a contextual information database, wherein the contextual data comprises device usage data and user data;

generate a data transfer rule set for governing data transfer from the plurality of user devices over the network based on the combined data;

calculate, using the quantum optimization engine, a data configuration flow for the plurality of user devices based on the data transfer rule set; and

execute the data configuration flow to control a flow of the sensor data transferred from the device gateway to an application server in a platform layer;

wherein the sensor data collected from the plurality of user devices and the contextual data is processed in parallel simultaneously by the quantum optimization engine.

10. The system of claim 9 , wherein the contextual data further comprises user interaction patterns, device usage duration data, and device usage location data.

11. The system of claim 9 further comprising a machine learning engine, wherein the machine learning engine is configured for receiving the combined data and generating the data transfer rule set based on the combined data.

12. The system of claim 9 , wherein the processing device is further configured to execute the computer-readable program code to group the plurality of user devices based on the data transfer rule set and the data configuration flow, wherein the sensor data from the grouped user devices is transferred to the application server together.

13. The system of claim 12 , wherein the sensor data from the grouped user devices is transferred from the device gateway to the application server across a shared data channel.

14. The system of claim 9 , wherein executing the data configuration flow comprises controlling the flow of the sensor data over a number of data channels.

15. The system of claim 9 , wherein the processing device is further configured to execute the computer-readable program code to:

determine a priority of each of the plurality of user devices; and

calculate the data configuration flow based on the priority of each of the plurality of user devices, wherein an order of the sensor data transferred to the application server is based on the priority of each of the plurality of user devices.

16. The system of claim 9 , wherein at least one the plurality of user devices comprises an actuator configured to execute an action, and wherein the processing device is further configured to execute the computer-readable program code to:

transmit a command from the application server in the platform layer to the device gateway in the edge layer; and

execute the command via the actuator of the at least one of the plurality of user devices.

17. A computer program product for intelligent data transfer, wherein the computer program product comprises a non-transitory computer-readable medium comprising computer-readable instructions, the computer-readable instructions, when executed by a processing device, cause the processing device to:

collect sensor data from a plurality of user devices, the plurality of user devices being connected to a device gateway in an edge layer of a network;

combine the collected sensor data with contextual data stored in a contextual information database, wherein the contextual data comprises device usage data and user data;

generate a data transfer rule set for governing data transfer from the plurality of user devices over the network based on the combined data;

calculate, using a quantum optimization engine, a data configuration flow for the plurality of user devices based on the data transfer rule set; and

execute the data configuration flow to control a flow of the sensor data transferred from the device gateway to an application server in a platform layer;

wherein the sensor data collected from the plurality of user devices and the contextual data is processed in parallel simultaneously by the quantum optimization engine.

18. The computer program product of claim 17 , wherein the contextual data further comprises user interaction patterns, device usage duration data, and device usage location data.

19. The computer program product of claim 17 , the computer-readable instructions, when executed by the processing device, cause the processing device to:

receive, using a machine learning engine, the combined data; and

generate, using the machine learning engine, the data transfer rule set based on the combined data.

20. The computer program product of claim 17 , wherein the computer-readable instructions, when executed by the processing device, cause the processing device to group the plurality of user devices based on the data transfer rule set and the data configuration flow, wherein the sensor data from the grouped user devices is transferred to the application server together.