ROOF CONDITION EVALUATION AND RISK SCORING SYSTEM AND METHOD

• US 20150302529A1
• Filed: 04/16/2015
• Published: 10/22/2015
• Est. Priority Date: 04/18/2014
• Status: Abandoned Application

• Current Assignee: Marshall & Swift/Boeckh, LLC (CoreLogic Incorporated)
• Original Assignee: Marshall & Swift/Boeckh, LLC (CoreLogic Incorporated)
• Inventors: Jagannathan, Janakiraman
• Application Number:
  US14/688,254
• Publication Number:
  US 20150302529A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

Computer systems and methods for determining a risk indicator for the condition of a roofing system of a building are disclosed. The system may include an interface configured to receive at least one input regarding the building, roofing system, location of the building roofing system, location-specific weather data, historical building performance data, or data extracted from imagery. The system includes a roof condition risk scoring engine configured to receive the input through the interface and to apply the input using a probabilistic roof model to calculate an indicator for a probability of loss associated with the roofing system replacement or reconstruction cost. The probability can be scaled into a roof condition risk score (e.g., a numeric score, a grade, a quality rating, etc.).

Claims

1. A system comprising:

physical data storage configured to store data associated with roofing systems associated with a plurality of real estate properties; and

a computer system comprising computer hardware, the computer system in communication with the physical data storage, the computer system programmed to;

receive identification information associated with a property, the identification information comprising a location of the property;

receive a roofing characteristic associated with a roofing system associated with the property, the roofing system comprising a roof of a building on the property;

receive a weather characteristic associated with the location of the property; and

generate a roof condition score based at least in part on applying a roof condition model to the roofing characteristic and the weather characteristic.

2. The system of claim 1, wherein the identification information comprises information related to one or more of an elevation of the building, a builder of the roofing system or building, building code compliance, maintenance of the building or the roofing system, warranty coverage for the building or the roofing system, or financial data regarding the building or an owner or occupant of the building.

3. The system of claim 1, wherein the roof characteristic comprises one or more of a roof age, a roof dimension, a roof slope, a roof aspect, a roof pitch, a roof direction, a roof shape, a roof type, a roof covering material type, a roof building code, or a roof installation.

4. The system of claim 1, wherein the weather characteristic comprises information related to one or more of snowfall, rainfall, humidity, heat index, precipitation, temperature, cloud cover, hail, catastrophe events, tornado events, hurricane events, thunderstorm events, or lightning events.

5. The system of claim 1, wherein the weather characteristic comprises information on pre-existing damage to the roofing system.

6. The system of claim 5, wherein the pre-existing damage comprises pre-existing damage from a historical weather event.

7. The system of claim 5, wherein the computer system is programmed to generate the roof condition score without information from a physical inspection of the roofing system.

8. The system of claim 1, wherein the weather characteristic comprises information related to one or more of hail events, hail size, hail duration, hail direction, a distance of the location of the property from a hail core of a hailstorm, a date of a last hail event, a date of a last severe hail event, or a number or frequency of hail events.

9. The system of claim 1, wherein the computer system is further programmed to:

receive an image of the roof of the building on the property; and

generate a roof image characteristic based on an analysis of the image,

wherein the roof condition score is generated based at least in part on the roof image characteristic.

10. The system of claim 9, wherein the roof image characteristic comprises at least one of a slope of the roof, a pitch of the roof, a dimension of the roof, a shape of the roof, or evidence of prior damage to the roof.

11. The system of claim 9, wherein the computer system is further programmed to determine a discrepancy between the generated roof image characteristic and the received roofing characteristic.

12. The system of claim 1, wherein the roof condition model is one or more of a logistic regression model, a binomial distribution model, a generalized linear model, a support vector machine, a naï

ve Bayes model, or a random forest model.

13. The system of claim 1, wherein the computer system is further programmed to calculate a probability of loss associated with an estimate for a replacement cost or a reconstruction cost for the roofing system.

14. The system of claim 13, wherein the computer system is further programmed to determine the replacement cost or the reconstruction cost for the roofing system.

15. The system of claim 1, wherein the computer system is further programmed to receive insurance claims information relating to whether a previous insurance claim was made for the roofing system, and to generate the roof condition score based at least in part on the received insurance claims information.

16. A method comprising:

under control of a roof condition risk scoring engine comprising physical computing hardware;

receiving identification information associated with a property, the identification information comprising a location of the property;

receiving a roofing characteristic associated with a roofing system associated with the property, the roofing system comprising a roof of a building on the property;

receiving a weather characteristic associated with the location of the property; and

applying a roof condition model to the roofing characteristic and the weather characteristic to generate a roof condition score.

17. The method of claim 16, wherein the identification information comprises information related to one or more of an elevation of the building, a builder of the roofing system or building, building code compliance, maintenance of the building or the roofing system, warranty coverage for the building or the roofing system, or financial data regarding the building or an owner or occupant of the building.

18. The method of claim 16, wherein the roof characteristic comprises one or more of a roof age, a roof dimension, a roof slope, a roof aspect, a roof pitch, a roof direction, a roof shape, a roof type, a roof covering material type, a roof building code, or a roof installation.

19. The method of claim 16, wherein the weather characteristic comprises information related to one or more of snowfall, rainfall, humidity, heat index, precipitation, temperature, cloud cover, hail, catastrophe events, tornado events, hurricane events, thunderstorm events, or lightning events.

20. The method of claim 16, wherein the weather characteristic comprises information on pre-existing damage to the roofing system caused by a historical weather event.

21. The method of claim 20, wherein the roof condition score is generated without information from a physical inspection of the roofing system.

22. The method of claim 16, wherein the weather characteristic comprises information related to one or more of hail events, hail size, hail duration, hail direction, a distance of the location of the property from a hail core of a hailstorm, a date of a last hail event, a date of a last severe hail event, or a number or frequency of hail events.

23. The method of claim 16, further comprising:

receiving an image of the roof of the building on the property; and

generating a roof image characteristic based on an analysis of the image,

wherein the roof condition score is generated based at least in part on the roof image characteristic.

24. The method of claim 23, further comprising determining a discrepancy between the generated roof image characteristic and the received roofing characteristic.

25. The method of claim 16, wherein the roof condition model is one or more of a logistic regression model, a binomial distribution model, a generalized linear model, a support vector machine, a naï

ve Bayes model, or a random forest model.

26. The method of claim 16, further comprising calculating a probability of loss associated with an estimate for a replacement cost or a reconstruction cost for the roofing system.

27. The method of claim 16, further comprising receiving insurance claims information relating to whether a previous insurance claim was made for the roofing system, and generating the roof condition score based at least in part on the received insurance claims information.