Resource Allocation and Risk Modeling for Geographically Distributed Assets

• US 20140278708A1
• Filed: 11/04/2013
• Published: 09/18/2014
• Est. Priority Date: 03/13/2013
• Status: Active Grant

• Current Assignee: Risk Management Solutions, Inc. (Moody's Corporation)
• Original Assignee: Risk Management Solutions, Inc. (Moody's Corporation)
• Inventors: Byk, Jordan, Sams, Christopher, Samal, Monalisa, Kumar, Surender, Carttar, David
• Granted Patent: US 10,417,592 B2
• Time in Patent Office: Days
• US Class Current: 705/7.25
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis

Abstract

A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.

Claims

1. A computer-implemented method for determining an exposure value of a network asset, comprising:

representing the network asset using a first geographic representation, the first geographic representation representing a portion of the network asset;

associating first meta-data with the first geographic representation, the meta-data providing location and a first characterizing type for the portion of the network asset;

representing a baseline using a second geographic representation, the second geographic representation representing a baseline feature;

associating second meta-data with the second geographic representation, the meta-data describing location and a second characterizing type for the baseline feature;

generating a geographic representation point representing correspondence between the first geographic representation and the second geographic representation;

calculating a first characterizing value responsive to the first meta-data and the second meta-data; and

calculating the exposure value for the geographic representation point by applying the characterizing value to an asset value.

2. The method of claim 1, further comprising calculating a second characterizing value using a user-defined characterizing value.

3. The method of claim 1, wherein the geographic representation point corresponds to a portion of a variable resolution grid.

4. The method of claim 1, wherein the second characterizing type is a risk type and the characterizing value is a risk value, further comprising using a variable resolution grid for adding resolution responsive to the risk type indicating elevated risk posed by the baseline feature relative to other baseline features.

5. The method of claim 1, wherein the geographic representation is a line segment.

6. The method of claim 1, wherein the geographic representation is a polygon.

7. The method of claim 1, wherein a weighing function is applied to the geographic representation point.

8. The method of claim 7, wherein the weighing function is a function of asset value.

9. The method of claim 1, wherein calculating the risk exposure value for the geographic representation point comprises calculating a composite system-determined and user-defined weighting function for the geographic representation point and applying the composite weighting function for each geographic representation point to the asset value.

10. A system comprising:

a computer-readable medium that includes instructions that, when loaded into memory, cause a processor to perform a method, the method comprising;

representing the network asset using a first geographic representation, the first geographic representation representing a portion of the network asset;

associating first meta-data with the first geographic representation, the meta-data providing location and a first characterizing type for the portion of the network asset;

representing a baseline using a second geographic representation, the second geographic representation representing a baseline feature;

associating second meta-data with the second geographic representation, the meta-data describing location and a second characterizing type for the baseline feature;

generating a geographic representation point representing correspondence between the first geographic representation and the second geographic representation;

calculating a first characterizing value responsive to the first meta-data and the second meta-data; and

calculating the exposure value for the geographic representation point by applying the characterizing value to an asset value.

11. The system of claim 10, further comprising calculating a second characterizing value using a user-defined characterizing value.

12. The system of claim 10, further comprising using a variable resolution grid for adding resolution to the asset portion and increasing the number of geographic representation points used to describe the asset portion.

13. The system of claim 10, wherein the second characterizing type is a risk type and the characterizing value is a risk value, further comprising using a variable resolution grid for adding resolution to the baseline feature and increasing the number of geographic representation points used to describe the baseline feature responsive to the risk type indicating elevated risk posed by the baseline feature relative to others of the baseline features.

14. The system of claim 10, wherein the geographic representation is a line segment.

15. The system of claim 10, wherein the geographic representation is a polygon.

16. The system of claim 10, wherein a weighing function is applied to each geographic representation point.

17. The system of claim 16, wherein the weighing function is a function of asset value.

18. The system of claim 10, wherein calculating the risk exposure value for each geographic representation point comprises calculating a composite system-determined and user-defined weighting function for each geographic representation point, across all geographic representation points, and applying each composite weighting function for each geographic representation point to the asset value.

19. A computer program product stored on a non-transitory computer-readable medium that includes instructions that, when loaded into memory, cause a processor to perform a method, the method comprising:

representing the network asset using a first geographic representation, the first geographic representation representing a portion of the network asset;

associating first meta-data with the first geographic representation, the meta-data providing location and a first characterizing type for the portion of the network asset;

representing a baseline using a second geographic representation, the second geographic representation representing a baseline feature;

associating second meta-data with the second geographic representation, the meta-data describing location and a second characterizing type for the baseline feature;

generating a geographic representation point representing correspondence between the first geographic representation and the second geographic representation;

calculating a first characterizing value responsive to the first meta-data and the second meta-data; and

calculating the exposure value for the geographic representation point by applying the characterizing value to an asset value.

20. The computer program product of claim 19, further comprising calculating a second characterizing value using a user-defined characterizing value.

21. The computer program product of claim 19, further comprising using a variable resolution grid for adding resolution to the asset portion and increasing the number of geographic representation points used to describe the asset portion.

22. The computer program product of claim 19, wherein the second characterizing type is a risk type and the characterizing value is a risk value, further comprising using a variable resolution grid for adding resolution to the baseline feature and increasing the number of geographic representation points used to describe the baseline feature responsive to the risk type indicating elevated risk posed by the baseline feature relative to others of the baseline features.

23. The computer program product of claim 19, wherein the geographic representation is a line segment.

24. The computer program product of claim 19, wherein the geographic representation is a polygon.

25. The computer program product of claim 19, wherein a weighing function is applied to each geographic representation point.

26. The computer program product of claim 25, wherein the weighing function is a function of asset value.

27. The computer program product of claim 19, wherein calculating the risk exposure value for each geographic representation point comprises calculating a composite system-determined and user-defined weighting function for each geographic representation point, across all geographic representation points, and applying each composite weighting function for each geographic representation point to the asset value.