Providing Resource Consumption Recommendations

• US 20140006329A1
• Filed: 06/30/2012
• Published: 01/02/2014
• Est. Priority Date: 06/30/2012
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.), AT&T Mobility II LLC (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.), AT&T Mobility II LLC (AT&T, Inc.)
• Inventors: Hu, Qingmin, Daly, Brian Kevin, Toren, Jamie, Causey, Mark Edward, Mullis, Karen
• Granted Patent: US 9,123,082 B2
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

The subject disclosure provides systems and methods for recommending optimal consumption of a variety of resources that may be consumed by a consumer. A recommendation provided by the system may be based upon resource-consumption statistics gathered by a plurality of sensors, consumer'"'"'s resource-consumption behavior, consumer-defined criteria, resource availability, and a cost of consumption. The recommendation may include a recommendation on how the consumer may lower resource consumption costs. The recommendation may further include optimal consumption considering consumption trends of a plurality of consumers living in a geographical proximity. The recommendation may include optimal usage of a consumer'"'"'s vehicle such that the vehicle may consume the least amount of energy. The recommendation may further include offer(s) of credit/incentives by resource providers to consumers in exchange for less consumption of resource, alternative consumption of resources, and any combination thereof.

Claims

1. A system, comprising:

a server on a network, the server including a memory, and a processor; and

a logic on the memory which, responsive to being executed by the processor, causes the processor to perform operations comprising;

analyzing a plurality of resource consumption statistics received from a sensor connected to an equipment consuming a resource, the plurality of resource consumption statistics being associated with the resource; and

generating a recommendation on a consumption of the resource, the recommendation being based on the analysis.

2. The system of claim 1, further comprising a mobile device, the mobile device for receiving the recommendation from the server.

3. The system of claim 1, wherein the equipment is at least one of a vehicle, an electrical equipment, a plumbing fixture, or a power outlet.

4. The system of claim 3, further comprising a tracking inventory system for transmitting an inventory data to the server.

5. The system of claim 4, wherein the inventory data is used in generating the recommendation.

6. The system of claim 1, further comprising incorporating a data received from a resource server into generating the recommendation, the resource server being associated with a resource provider servicing the equipment.

7. The system of claim 6, further comprising a database for storing the resource consumption statistics, a result of the analysis, and the data received from the resource server.

8. The system of claim 6, wherein the data received from the resource server includes a resource availability and a pricing information.

9. The system of claim 1, wherein the analysis is further based on a consumer consumption behavior and a consumer-defined criteria specifying at least one consumer preference to be incorporated into the recommendation.

10. The system of claim 1, wherein the resource includes at least one of water, gas, or electricity.

11. A method, comprising:

analyzing a plurality of resource consumption statistics received from a sensor connected to an equipment consuming a resource using a logic on a server, the plurality of resource consumption statistics being associated with the resource; and

generating a recommendation on a consumption of the resource using the logic on the server, the recommendation being based on the analysis.

12. The method of claim 11, wherein generating the recommendation is further based on a data received from a resource server, the resource server being associated with a resource provider servicing the equipment.

13. The method of claim 12, further comprising storing the plurality of resource consumption statistics, a result of the analysis, and data received from the resource server in a database.

14. The method of claim 11, further comprising presenting the recommendation to the consumer.

15. The method of claim 14, further comprising regulating a supply of resources to the equipment upon the presented recommendation being accepted.

16. The method of claim 11, wherein generating the recommendation is further based on a plurality of resource consumption statistics corresponding to a plurality of equipment associated with a plurality of consumers living in a geographical proximity.

17. The method of claim 11, wherein the generated recommendation is for a vehicle'"'"'s consumption of the resource.

18. The method of claim 11, wherein the generated recommendation includes an offer of credit by a resource provider in exchange for less consumption of the resource provided by the resource provider.

19. The method of claim 11, wherein the resource includes at least one of water, gas, or electricity.

20. A computer-readable medium having a computer-executable code stored thereon, the computer executable code comprising instructions, which when executed by a processor, causes the processor to perform functions including:

analyzing a plurality of resource consumption statistics received from a sensor connected to an equipment consuming a resource, the plurality of resource consumption statistics being associated with the resource; and

an instruction for generating a recommendation on a consumption of the resource, the recommendation being based on the analysis.