Resource allocation and risk modeling for geographically distributed assets

• US 10,417,592 B2
• Filed: 11/04/2013
• Issued: 09/17/2019
• 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, Carttar, David, Samal, Monalisa, Kumar, Surender
• Primary Examiner(s): Stamber, Eric W
• Assistant Examiner(s): Torrico-Lopez, Alan
• Application Number:
  US14/070,843
• Publication Number:
  US 20140278708A1
• Time in Patent Office: 2,143 Days
• Field of Search: None
• 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 network asset, wherein the network asset comprises a continuously distributed infrastructure;

storing first meta-data in an asset database in association with the first geographic representation, the first meta-data associating portions of the continuously distributed infrastructure with first characterizing information describing respective portions of the continuously distributed infrastructure;

representing a plurality of baseline features using a second geographic representation, wherein each baseline feature describes a context of the network asset;

storing second meta-data in a baseline database in association with the second geographic representation, the second meta-data associating each baseline feature of the plurality of baseline features with a location and second characterizing information describing the baseline feature;

at least one of the first geographic representation and the second geographic representation comprising a first portion represented at a first resolution and a second portion represented at a second resolution, wherein the second resolution is higher than the first resolution;

generating a plurality of geographic representation points by;

generating, based on the first geographic representation and the second geographic representation, a third geographic representation identifying intersections between the continuously distributed infrastructure and the plurality of baseline features;

determining, based on the third geographic representation, a plurality of intersection points, wherein a density of intersection points at each location corresponds to a resolution of the first geographic representation and the second geographic representation at the each location;

generating, for each intersection point of the plurality of intersection points, a geographic representation point, wherein the geographic representation point represents an intersection between a particular portion of the continuously distributed infrastructure at the intersection point and a risk posed by a baseline feature at the intersection point;

wherein the second characterizing information includes a risk type and the one or more characterizing values includes a risk value, wherein the second portion adds resolution to a particular baseline feature of the plurality of baseline features, and increasing the number of geographic representation points used to describe the particular baseline feature responsive to the risk type indicating elevated risk posed by the particular baseline feature relative to other baseline features;

for each geographic representation point of the plurality of geographic representation points;

querying the asset database to retrieve first meta-data associated with a location of the geographic representation point;

querying the baseline database to retrieve second meta-data associated with the location of the geographic representation point;

based on the first meta-data and the second meta-data associated with the location of the geographic representation point, calculating an asset value and one or more characterizing values, wherein each characterizing value describes one or more risk factors associated with the geographic representation point; and

calculating a risk exposure value for the geographic representation point by applying the one or more characterizing values to the asset value;

wherein the method is performed by one or more computing devices.

2. The method of claim 1, wherein calculating the one or more characterizing values comprises calculating at least one characterizing value using a user-defined characterizing value.

3. The method of claim 1, wherein the first geographic representation comprises the first portion and the second portion, wherein the second portion adds resolution to a portion of the continuously distributed infrastructure and the method further comprising increasing the number of geographic representation points used to describe the portion of the continuously distributed infrastructure.

4. The method of claim 1, wherein the first geographic representation comprises one or more line segments.

5. The method of claim 1, wherein the first geographic representation comprises one or more polygons.

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

7. The method of claim 6, wherein the weighing function is a function of asset value.

8. 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 the geographic representation point to the asset value.

9. A system comprising:

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 a network asset using a first geographic representation, the first geographic representation representing the network asset, wherein the network asset comprises a continuously distributed infrastructure;

storing first meta-data in an asset database in association with the first geographic representation, the first meta-data associating portions of the continuously distributed infrastructure with first characterizing information describing respective portions of the continuously distributed infrastructure;

representing a plurality of baseline features using a second geographic representation, wherein each baseline feature describes a context of the network asset;

storing second meta-data in a baseline database in association with the second geographic representation, associating each baseline feature of the plurality of baseline features with a location and second characterizing information describing the baseline feature;

at least one of the first geographic representation and the second geographic representation comprising a first portion represented at a first resolution and a second portion represented at a second resolution, wherein the second resolution is higher than the first resolution;

generating a plurality of geographic representation points by;

generating, based on the first geographic representation and the second geographic representation, a third geographic representation identifying intersections between the continuously distributed infrastructure and the plurality of baseline features;

determining, based on the third geographic representation, a plurality of intersection points, wherein a density of intersection points at each location corresponds to a resolution of the first geographic representation and the second geographic representation at the each location;

generating, for each intersection point of the plurality of intersection points, a geographic representation point, wherein the geographic representation point represents an intersection between a particular portion of the continuously distributed infrastructure at the intersection point and a risk posed by a baseline feature at the intersection point;

wherein the second characterizing information includes a risk type and the one or more characterizing values includes a risk value, wherein the second portion adds resolution to a particular baseline feature of the plurality of baseline features, and increasing the number of geographic representation points used to describe the particular baseline feature responsive to the risk type indicating elevated risk posed by the particular baseline feature relative to other baseline features;

for each geographic representation point of the plurality of geographic representation points;

querying the asset database to retrieve first meta-data associated with a location of the geographic representation point;

querying the baseline database to retrieve second meta-data associated with the location of the geographic representation point;

based on the first meta-data and the second meta-data associated with the location of the geographic representation point, calculating an asset value and one or more characterizing values, wherein each characterizing value describes one or more risk factors associated with the geographic representation point; and

calculating a risk exposure value for the geographic representation point by applying the one or more characterizing values to the asset value.

10. The system of claim 9, wherein calculating the one or more characterizing values comprises calculating at least one characterizing value using a user-defined characterizing value.

11. The system of claim 9, wherein the first geographic representation comprises the first portion and the second portion, wherein the second portion adds resolution to a portion of the continuously distributed infrastructure and the method further comprising increasing the number of geographic representation points used to describe the portion of the continuously distributed infrastructure.

12. The system of claim 9, wherein the first geographic representation comprises one or more line segments.

13. The system of claim 9, wherein the first geographic representation comprises one or more polygons.

14. The system of claim 9, wherein a weighing function is applied to each geographic representation point.

15. The system of claim 14, wherein the weighing function is a function of asset value.

16. The system of claim 9, 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.

17. 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 a network asset using a first geographic representation, the first geographic representation representing a network asset, wherein the network asset comprises a continuously distributed infrastructure;

storing first meta-data in an asset database in association with the first geographic representation, the first meta-data associating portions of the continuously distributed infrastructure with first characterizing information describing respective portions of the continuously distributed infrastructure;

representing a plurality of baseline features using a second geographic representation, wherein each baseline feature describes a context of the network asset;

storing second meta-data in a baseline database in association with the second geographic representation, associating each baseline feature of the plurality of baseline features with a location and second characterizing information describing the baseline feature;

at least one of the first geographic representation and the second geographic representation comprises a first portion represented at a first resolution and a second portion represented at a second resolution, wherein the second resolution is higher than the first resolution;

generating a plurality of geographic representation points by;

generating, based on the first geographic representation and the second geographic representation, a third geographic representation identifying intersections between the continuously distributed infrastructure and the plurality of baseline features;

determining, based on the third geographic representation, a plurality of intersection points, wherein a density of intersection points at each location corresponds to a resolution of the first geographic representation and the second geographic representation at the each location;

generating, for each intersection point of the plurality of intersection points, a geographic representation point, wherein the geographic representation point represents an intersection between a particular portion of the continuously distributed infrastructure at the intersection point and a risk posed by a baseline feature at the intersection point;

wherein the second characterizing information includes a risk type and the one or more characterizing values includes a risk value, wherein the second portion adds resolution to a particular baseline feature of the plurality of baseline features, and increasing the number of geographic representation points used to describe the particular baseline feature responsive to the risk type indicating elevated risk posed by the particular baseline feature relative to other baseline features;

for each geographic representation point of the plurality of geographic representation points;

querying the asset database to retrieve first meta-data associated with a location of the geographic representation point;

querying the baseline database to retrieve second meta-data associated with the location of the geographic representation point;

based on the first meta-data and the second meta-data associated with the location of the geographic representation point, calculating an asset value and one or more characterizing values, wherein each characterizing value describes one or more risk factors associated with the geographic representation point; and

calculating a risk exposure value for the geographic representation point by applying the one or more characterizing values to the asset value.

18. The computer program product of claim 17, wherein calculating the one or more characterizing values comprises calculating at least one characterizing value using a user-defined characterizing value.

19. The computer program product of claim 17, wherein the first geographic representation comprises the first portion and the second portion, further comprising using the second portion for adding resolution to a portion of the continuously distributed infrastructure and increasing the number of geographic representation points used to describe the portion of the continuously distributed infrastructure.

20. The computer program product of claim 17, wherein the first geographic representation comprises one or more line segments.

21. The computer program product of claim 17, wherein the first geographic representation comprises one or more polygons.

22. The computer program product of claim 17, wherein a weighing function is applied to each geographic representation point.

23. The computer program product of claim 22, wherein the weighing function is a function of asset value.

24. The computer program product of claim 17, 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.