Systems, methods and apparatus to identify network maintenance zones

• US 20070106784A1
• Filed: 11/08/2005
• Published: 05/10/2007
• Est. Priority Date: 11/08/2005
• Status: Abandoned Application

• Current Assignee: SBC Knowledge Ventures LP (AT&T, Inc.)
• Original Assignee: SBC Knowledge Ventures LP (AT&T, Inc.)
• Inventors: Dickman, David
• Application Number:
  US11/268,920
• Publication Number:
  US 20070106784A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 41/0677 Localisation of faults
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 41/149 for prediction of maintenance
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]

Abstract

Systems, methods and apparatus are disclosed to identify network maintenance zones. An example system disclosed herein includes a network map database to receive and store location information of a network element. The example system further includes a repair database to receive and store repair data of the network element; and a network forecaster in communication with the repair database to identify network element rehabilitation zones based on the repair data.

Claims

1. A system to identify network rehabilitation zones based on repair data comprising:

a network map database to receive and store location information of a network element;

a repair database to receive and store repair data of the network element; and

a network forecaster in communication with the repair database to identify network element rehabilitation zones based on the repair data.

2. A system as defined in claim 1 further comprising a field unit to receive data associated with a trouble ticket and to submit the repair data of the network element to the repair database.

3. A system as defined in claim 2 further comprising a resource administrator communicatively connected to the field unit to assign the trouble ticket.

4. A system as defined in claim 2 wherein the field unit comprises an intelligent field device.

5. A system as defined in claim 4 wherein the intelligent field device comprises at least one of a laptop or a personal digital assistant.

6. A system as defined in claim 4 wherein the intelligent field device comprises a display unit.

7. A system as defined in claim 6 wherein the display unit comprises a touchscreen and a graphical user interface.

8. A system as defined in claim 4 wherein the intelligent field device is adapted to wirelessly communicate to at least one of the repair database or the network map database.

9. A system as defined in claim 1 wherein the repair data of the network element comprises at least one of a network element name, a network element coordinate, or a network element repair date.

10. A system as defined in claim 1 wherein the network forecaster comprises a rules engine to apply rules to the repair data.

11. A system as defined in claim 10 wherein the rules engine comprises a rule applicator and a map generator to generate a graphical representation of the repair data.

12. A system as defined in claim 10 wherein the rules applied to the repair data include at least one of distance limits, density limits, age limits, service date limits, or network element type limits.

13. A system as defined in claim 11 wherein the map generator generates the graphical representation of the repair data comprising a plurality of network element rehabilitation zones.

14. A system as defined in claim 13 wherein at least one rule applies to each of the plurality of network element zones.

15. A system as defined in claim 13 wherein different rules apply to each of the plurality of network element zones.

16. A system as defined in claim 1 further comprising a rehabilitation zone selection algorithm.

17. A system as defined in claim 16 wherein the rehabilitation zone selection algorithm automatically determines the network element rehabilitation zone.

18. A system as defined in claim 16 wherein the rehabilitation zone selection algorithm comprises a predetermined density threshold.

19. A system as defined in claim 18 wherein the predetermined density threshold comprises at least one of number of repaired network elements per unit area, number of network elements of a predetermined age per unit area, or number of network elements of a predetermined type per unit area.

20. A system as defined in claim 1 wherein the network forecaster comprises a user interface.

21. A system as defined in claim 20 wherein the user interface is at least one of a graphical user interface or a table.

22. A system as defined in claim 20 wherein the user interface comprises at least one of a rule design interface or a rule execution interface.

23. A system as defined in claim 1 further comprising a plurality of field units.

24-41. -41. (canceled)

42. A method to select network rehabilitation comprising:

recording locations of network elements serviced in a network and data associated with the network elements to create a service history database; and

analyzing the recorded data and network locations to select a network element rehabilitation zone.

43. A method as defined in claim 42 further comprising validating the locations of network elements serviced in the network with an intelligent field device.

44. A method as defined in claim 43 wherein the intelligent field device receives geographic coordinates from a GPS unit.

45. A method as defined in claim 43 wherein the intelligent field device wirelessly communicates with a resource administrator.

46-58. -58. (canceled)

59. An article of manufacture storing machine readable instructions which, when executed, cause a machine to:

record location data and network element data of serviced network elements; and

analyze the location data and network element data to identify a network element rehabilitation zone.

60-76. -76. (canceled)