Time and motion data fusion for high fidelity data sets

• US 10,417,599 B2
• Filed: 09/04/2015
• Issued: 09/17/2019
• Est. Priority Date: 09/04/2015
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Pignataro, Carlos M., Stanley, III, James D., Vargheese, Rajesh, Rayes, Ammar, Prantl, David, Dahir, Hazim Hashim, Salgueiro, Gonzalo A.
• Primary Examiner(s): Brockington, III, William S
• Application Number:
  US14/845,777
• Publication Number:
  US 20170068913A1
• Time in Patent Office: 1,474 Days
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: Y02P 90/82 Energy audits or management systems therefor

Abstract

A plurality of data sets are compiled in a memory. A first data set comprises a location mapping of an item of interest within a predetermined environment, and a second set comprises energy usage data within the predetermined environment. The first data set is correlated, via a processor, with the second data set to locate a subset of energy usage data in the second data set associated with the item of interest. A third data set is generated by combining the first data set with the subset of energy usage data in the second data set to increase an accuracy of the location mapping of the item of interest based upon the subset of energy usage data. The third data set is applied to a computing resource.

Claims

1. A method comprising:

acquiring, via a processor, a plurality of data sets from a plurality of data sources, wherein a first data set is acquired from a first data source and a second data source, the first data source being a video motion capture device, the second data source being at least one network node, and comprises a location mapping of an item of interest within a predetermined environment that is derived from video motion data and network traffic data, the item of interest being one of a plurality of items of interest within the predetermined environment, and wherein a second data set is acquired from a third data source and comprises energy usage data for the plurality of items of interest within the predetermined environment;

compiling, in a memory, the plurality of data sets;

correlating, via the processor, the first data set with the second data set to locate a subset of energy usage data in the second data set associated with the item of interest;

generating, via the processor, a third data set by combining the first data set with the subset of energy usage data in the second data set to increase an accuracy of the location mapping of the item of interest based upon the subset of energy usage data; and

applying the third data set to a computing resource.

2. The method of claim 1, wherein applying the third data set to the computing resource comprises updating a computer aided design model of the predetermined environment.

3. The method of claim 2, wherein the predetermined environment comprises a manufacturing environment, wherein the item of interest is a product being manufactured, and wherein updating the computer aided design model comprises updating a location of the product being manufactured in the computer aided design model.

4. The method of claim 1, wherein applying the third data set to the computing resource comprises generating visual graphs illustrating the energy usage data of the plurality of items of interest at particular locations within the predetermined environment.

5. The method of claim 1, wherein applying the third data set to the computing resource comprises reserving resources for the item of interest in an electronic reservation system.

6. The method of claim 1, further comprising predicting a future location of the item of interest within the predetermined environment and adding the future location to the location mapping,

wherein applying the third data set to the computing resource comprises providing the future location to the computing resource.

7. The method of claim 6, further comprising tracking motion of the item of interest based upon the location mapping and the future location of the item of interest.

8. The method of claim 1, wherein combining the first data set with the subset of energy usage data in the second data set further comprises tracking a location of the item of interest in a predetermined location based on the subset of energy usage data.

9. The method of claim 1, wherein the first data set further comprises Wi-Fi location data.

10. The method of claim 1, wherein combining the first data set with the subset of energy usage data comprises combining the first data set with the subset of energy usage data with a fourth data set, wherein the fourth data set comprises Wi-Fi location data.

11. An apparatus comprising:

a memory; and

a processor, wherein the processor is configured to;

acquire a plurality of data sets from a plurality of data sources, wherein a first data set is acquired from a first data source and a second data source, the first data source being a video motion capture device, the second data source being at least one network node, and comprises a location mapping of an item of interest within a predetermined environment that is derived from video motion data and network traffic data, the item of interest being one of a plurality of items of interest within the predetermined environment, and wherein a second data set is acquired from a third data source and comprises energy usage data for the plurality of items of interest within the predetermined environment;

compile, in the memory, the plurality of data sets;

correlate the first data set with the second data set to locate a subset of energy usage data in the second data set associated with the item of interest;

generate a third data set by combining the first data set with the subset of energy usage data in the second data set to increase an accuracy of the location mapping of the item of interest based upon the subset of energy usage data; and

apply the third data set to a computing resource.

12. The apparatus of claim 11, wherein the processor is configured to apply the third data set to the computing resource by updating a computer aided design model of the predetermined environment.

13. The apparatus of claim 12, wherein the predetermined environment comprises a manufacturing environment, and wherein the processor is configured to update the computer aided design model of the predetermined environment by updating the computer aided design model of the manufacturing environment to indicate a location of a product being manufactured.

14. The apparatus of claim 11, wherein the processor is configured to apply the third data set to the computing resource by generating visual graphs illustrating the energy usage data of the plurality of items of interest at particular locations within the predetermined environment.

15. The apparatus of claim 11, wherein the processor is configured to apply the third data set to the computing resource by reserving resources for the item of interest in an electronic reservation system.

16. A tangible, non-transitory computer readable media encoded with instructions, wherein the instructions, when executed by a processor, cause the processor to:

acquire a plurality of data sets from a plurality of data sources, wherein a first data set is acquired from a first data source and a second data source, the first data source being a video motion capture device, the second data source being at least one network node, and comprises a location mapping of an item of interest within a predetermined environment that is derived from video motion data and network traffic data, the item of interest being one of a plurality of items of interest within the predetermined environment, and wherein a second data set is acquired from a third data source and comprises energy usage data for the plurality of items of interest within the predetermined environment;

compile, in a memory, the plurality of data sets;

correlate the first data set with the second data set to locate a subset of energy usage data in the second data set associated with the item of interest;

generate a third data set by combining the first data set with the subset of energy usage data in the second data set to increase an accuracy of the location mapping of the item of interest based upon the subset of energy usage data; and

apply the third data set to a computing resource.

17. The computer readable media of claim 16, further comprising instructions that cause the processor to apply the third data set to the computing resource by updating a computer aided design model of the predetermined environment.

18. The computer readable media of claim 17, wherein the predetermined environment comprises a manufacturing environment, and further comprising instructions that cause the processor to update the computer aided design model of the predetermined environment by updating the computer aided design model of the manufacturing environment to indicate a location of a product being manufactured.

19. The computer readable media of claim 16, further comprising instructions that cause the processor to apply the third data set to the computing resource by generating visual graphs illustrating the energy usage data of the plurality of items of interest at particular locations within the predetermined environment.

20. The computer readable media of claim 16, further comprising instructions that cause the processor to apply the third data set to the computing resource by reserving resources for the item of interest in an electronic reservation system.