IP Library Granted Patent US 10,325,473
Granted Patent B1
US 10,325,473 · App. 16/141,193 · Granted Jun 18, 2019

Sensor data to identify catastrophe areas

Inventors: Phillip Moon (Bloomington, IL); Sunish Menon (Normal, IL); Jeffrey Kinsey (Bloomington, IL); Jeffrey W. Stoiber (Atlanta, GA)
Assignee: State Farm Mutual Automobile Insurance Company
G08B21/10G08B27/001
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Quick Facts
Patent No.
US 10,325,473
App. No.
16/141,193
Granted
Jun 18, 2019
Kind
B1
Abstract

A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.

Claims (18)

1. A computer-implemented method of generating an automated response to a catastrophic event, the method comprising:

analyzing, via one or more processors, a sample set of data generated in association with an instance of a catastrophic event type to determine a threshold pattern, the sample set of data being generated by a plurality of sensors installed across a plurality of geographically-distributed structures and respectively affected by the instance of the catastrophic event type;

receiving, via one or more processors, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; or (vii) presence of pollutants in air or water;

determining, via the one or more processors, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern associated with the catastrophic event type;

automatically generating, via the one or more processors, a response if the home sensor data indicates a match to the threshold pattern associated with the catastrophic event type, the response including a list of person(s) affected or likely to be affected by the catastrophic event type; and

comparing a set of insurance claims with the list of person(s).

2. The computer-implemented method of claim 1 , the method further comprising issuing, via the one or more processors, operational instructions to the smart home controller to reconfigure for collection of additional home sensor data.

3. The computer-implemented method of claim 1 , wherein generation of the response is further conditioned on confirming the match to the threshold pattern by analyzing, via the one or more processors, a supplemental data set, the supplemental data set including weather-related data received from an external database configured for weather tracking.

4. The computer-implemented method of claim 1 , wherein the response includes an indication that human personnel should be deployed to an area near the home.

5. A computer system for generating an automated response to a catastrophic event, the computer system comprising one or more processors and transceivers configured to:

analyze a sample set of data generated in association with an instance of a catastrophic event type to determine a threshold pattern, the sample set of data being generated by a plurality of sensors installed across a plurality of geographically-distributed structures and respectively affected by the instance of the catastrophic event type;

receive home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; or (vii) presence of pollutants in air or water;

determine based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern associated with the catastrophic event type;

automatically generate a response if the home sensor data indicates a match to the threshold pattern associated with the catastrophic event type, the response including a list of person(s) affected or likely to be affected by the catastrophic event type; and

compare a set of insurance claims with the list of person(s).

6. The computer system of claim 5 , wherein the one or more processors and transceivers are further configured to issue operational instructions to the smart home controller to reconfigure for collection of additional home sensor data.

7. The computer system of claim 5 , wherein the one or more processors and transceivers are further configured to confirm the match to the threshold pattern by analyzing a supplemental data set, the supplemental data set including weather-related data received from an external database configured for weather tracking.

8. The computer system of claim 5 , wherein the one or more processors and transceivers are further configured to issue the response to include an indication that human personnel should be deployed to an area near the home.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 25, 2018
From: MOON, PHILLIP; MENON, SUNISH; STOIBER, JEFFREY; KINSEY, JEFF
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 046964/0383 →
Continuity (4)
Continuation 15904769 · Feb 26, 2018
Continuation 15397277 · Jan 3, 2017
Provisional Application 62307101 · Mar 11, 2016
Provisional Application 62275566 · Jan 6, 2016
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