Remote Sensor Data Systems

• US 20160225098A1
• Filed: 04/08/2016
• Published: 08/04/2016
• Est. Priority Date: 09/04/2003
• Status: Active Grant

• Current Assignee: Hartford Fire Insurance Company (The Hartford Financial Services Group, Inc.)
• Original Assignee: Hartford Fire Insurance Company (The Hartford Financial Services Group, Inc.)
• Inventors: Rippel, Steven, Helitzer, Jonathan A., Carvalko, Joseph R. Jr., Frey, Kelly L. Sr., Murchie, G. Stewart, Chen, Susannah, Campbell, Casey Ellen
• Granted Patent: US 9,881,342 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

The invention relates to systems and methods for analyzing data collected from sensors monitoring property. In particular, the systems and methods analyze the data to make property insurance underwriting decisions based on the collected sensor data using a computerized process that varies the way in which it manipulates the collected sensor data based on a characteristic of the property being insured, a characteristic of the entity seeking the insurance, and/or on the value of one or more collected data parameters. The invention also relates to systems and methods of making property insurance pricing decisions based on a similarly dynamic computerized process.

Claims

1. A sensor based analysis system, comprising:

a first communication device configured to receive a request to insure a property of an entity;

one or more property sensors configured to collect property sensor data corresponding to the property;

a terminal comprising a remote communication device in communication with the one or more property sensors and storing computer-readable instructions defining an automated webservice application configured to dynamically upload the property sensor data;

a second communication device configured to receive the property sensor data from the first remote communication device, wherein the property sensor data includes at least one data parameter;

a memory configured to store (1) a plurality of sets identifying specific data parameters to be analyzed, wherein each of the plurality of sets is associated with one or more of (a) at least one characteristic of the property, (b) at least one characteristic of an entity seeking coverage, (c) a value of the at least one characteristic of the property, and (d) a value of the at least one characteristic of the entity seeking coverage, wherein each of the plurality of sets identifying specific data parameters to be analyzed is at least partially different from others of the plurality of sets identifying specific data parameters to be analyzed, and (2) a plurality of underwriting and pricing algorithms, wherein at least one of the plurality of underwriting and pricing algorithms applies a different set of specific data parameters than another one of the plurality of underwriting and pricing algorithms;

an application server configured to;

render, for display on the terminal, a series of user interfaces for requesting data indicative of the at least one characteristic of the property and data indicative of the at least one characteristic of the entity;

receive, from the terminal, the data indicative of the at least one characteristic of the property and the data indicative of the at least one characteristic of the entity;

receive, from the terminal, the property sensor data dynamically uploaded by the automated webservice application;

identify, based on (1) the received data indicative of at least one characteristic of the property, (2) the received data indicative of at least one characteristic of the entity, and (3) the received property sensor data, one or more of the at least one characteristic of the property to be covered, the at least one characteristic of the entity seeking coverage, the value of the at least one characteristic of the property to be covered, and the value of the at least one characteristic of the entity seeking coverage,

dynamically select one of the plurality of sets identifying specific data parameters to be analyzed based on (1) the received data indicative of the at least one characteristic of the property, (2) the received data indicative of the at least one characteristic of the entity, and (3) the received property sensor data;

select the one of the plurality of underwriting and pricing algorithms that corresponds to the selected one of the plurality of sets identifying specific data parameters to be analyzed; and

dynamically analyze, by the selected one of the plurality of underwriting and pricing algorithms, the specific data parameters identified by the selected one of the plurality of sets identifying specific data parameters to be analyzed, to generate one of data indicative of an underwriting determination and data indicative of a pricing determination; and

an output device configured to output the generated one of the data indicative of underwriting determination and data indicative of the pricing determination.

2. The system of claim 1, wherein the data indicative of underwriting determination comprises one of data indicative of a new policy offer decision and data indicative of an existing policy renewal decision.

3. The system of claim 1, wherein the data indicative of pricing determination comprises one of data indicative of a price for a new policy and data indicative of a price adjustment for an existing policy.

4. The system of claim 1, wherein the property comprises a vehicle,

wherein the at least one characteristic of the property comprises one of a vehicle size characteristic, a vehicle safety rating characteristic, a vehicle engine size characteristic, a vehicle color characteristic, a vehicle cargo capacity characteristic, and a vehicle age characteristic;

and

wherein the specific data parameters to be analyzed include one or more of a speed data parameter, an acceleration data parameter, a braking data parameter, a turning speed data parameter, a blinker usage data parameter, a driving time of day data parameter, a mileage data parameter, a driving location data parameter, a seat belt usage data parameter, a number of passengers data parameter, an oil level data parameter, a tire pressure data parameter, an engine temperature data parameter, a brake condition data parameter, a fuel level data parameter, and a status of warning light indicators data parameter.

5. The system of claim 1, wherein the property comprises a building,

wherein the at least one characteristic of the property comprises one of a location characteristic, a size characteristic, a construction type characteristic, and a safety features characteristic;

and

wherein the specific data parameters to be analyzed include one or more of a temperature data parameter, a humidity data parameter, an exterior wind speeds data parameter, a times and durations of open doors and windows data parameter, an air quality data parameter, an occupancy data parameter, an operational hours data parameter, and a safety equipment condition data parameter.

6. The system of claim 1, wherein the application server is further configured to vary a weight accorded to the specific data parameters identified by the selected one of the plurality of sets identifying specific data parameters to be analyzed, and

wherein the application server is further configured to dynamically analyze the specific data parameters based on the weight accorded to the specific data parameters.

7. The system of claim 1, wherein the selected one of the plurality of underwriting and pricing algorithms is integral to a predictive model used to analyze the specific data parameters identified by the one of the plurality of sets identifying specific data parameters.

8. The system of claim 1, wherein the application server is configured to receive the property sensor data in real time.

9. A computer-implemented method, comprising:

receiving, by a first communication device, a data request related to a property of an entity;

collecting property sensor data, by one or more property sensors for collecting property sensor data corresponding to the property;

dynamically uploading the property sensor data by a terminal executing an automated webservice application, the terminal comprising a remote communication device in communication with the one or more property sensors;

storing, in a data storage device, (1) a plurality of sets identifying specific data parameters to be analyzed, wherein each of the plurality of sets is associated with one or more of (a) at least one characteristic of the property, (b) at least one characteristic of an entity seeking coverage, (c) a value of the at least one characteristic of the property, and (d) a value of the at least one characteristic of the entity seeking coverage, and wherein each of the plurality of sets identifying specific data parameters to be analyzed is at least partially different from others of the plurality of sets identifying specific data parameters to be analyzed, and (2) a plurality of underwriting and pricing algorithms, wherein at least one of the plurality of underwriting and pricing algorithms applies a different set of specific data parameters than another one of the plurality of underwriting and pricing algorithms;

rendering, by an application server for display on the terminal, a series of user interfaces for requesting data indicative of the at least one characteristic of the property and data indicative of the at least one characteristic of the entity;

transmitting, by the application server via the first communications device to the terminal, the series of user interfaces;

receiving, by the application server via the first communications device from the terminal, the data indicative of the at least one characteristic of the property and the data indicative of the at least one characteristic of the entity;

identifying, by the application server based on (1) the received data indicative of at least one characteristic of the property, (2) the received data indicative of at least one characteristic of the entity, and (3) the received property sensor data, one or more of the at least one characteristic of the property to be covered, the at least one characteristic of the entity seeking coverage, the value of the at least one characteristic of the property to be covered, and the value of the at least one characteristic of the entity seeking coverage,

dynamically selecting, by the application server, one of the plurality of sets identifying specific data parameters to be analyzed, based on (1) the received data indicative of the at least one characteristic of the property, (2) the received data indicative of at least one characteristic of the entity, and (3) the received property sensor data;

selecting, by the application server, the one of the plurality of underwriting and pricing algorithms that corresponds to the selected one of the plurality of sets identifying specific data parameters to be analyzed;

dynamically analyzing, by the application server based on the selected one of the plurality of underwriting and pricing algorithms, the specific data parameters identified by the one of the plurality of sets identifying specific data parameters to be analyzed to generate one of data indicative of an underwriting determination and data indicative of the a pricing determination; and

outputting, by an output device, the generated one of the data indicative of the underwriting determination and the data indicative of the pricing determination.

10. The computer-implemented method of claim 9, wherein the data indicative of the underwriting determination comprises one of data indicative of a new policy offer decision and data indicative of an existing policy renewal decision.

11. The computer-implemented method of claim 9, wherein the data indicative of the pricing determination comprises one of data indicative of a price for a new policy and data indicative of a price adjustment for an existing policy.

12. The computer-implemented method of claim 9, wherein the property comprises a vehicle,

wherein the at least one characteristic of the property comprises one of a vehicle size characteristic, a vehicle safety rating characteristic, a vehicle engine size characteristic, a vehicle color characteristic, a vehicle cargo capacity characteristic, and a vehicle age characteristic;

and

wherein the specific data parameters to be analyzed include one or more of a speed data parameter, an acceleration data parameter, a braking data parameter, a turning speed data parameter, a blinker usage data parameter, a driving time of day data parameter, a mileage data parameter, a driving location data parameter, a seat belt usage data parameter, a number of passengers data parameter, an oil level data parameter, a tire pressure data parameter, an engine temperature data parameter, a brake condition data parameter, a fuel level data parameter, and a status of warning light indicators data parameter.

13. The system of claim 9, wherein the property comprises a building,

wherein the at least one characteristic of the property comprises one of a location characteristic, size, a construction type characteristic, and a safety features characteristic;

and

wherein the specific data parameters to be analyzed include one or more of a temperature data parameter, a humidity data parameter, an exterior wind speeds data parameter, a times and durations of open doors and windows data parameter, an air quality data parameter, an occupancy data parameter, an operational hours data parameter, and a safety equipment condition data parameter.

14. The computer-implemented method of claim 9, wherein the selected one of the plurality of underwriting and pricing algorithms is integral to a predictive model used to analyze the specific data parameters identified by the one of the plurality of sets identifying specific data parameters.

15. The computer-implemented method of claim 9, further comprising varying, by the application server, a weight accorded to the specific data parameters identified by the selected one of the plurality of sets identifying specific data parameters to be analyzed, and

wherein analyzing the specific data parameters comprises analyzing the specific data parameters based on the weight accorded.

16. The computer-implemented method of claim 9, wherein the selected one of the plurality of underwriting and pricing algorithms is integral to a predictive model used to analyze the specific data parameters identified by the one of the plurality of sets identifying specific data parameters.

17. A sensor based analysis system, comprising:

a first communication device configured to receive a request to insure a property of an entity;

one or more property sensors configured to collect property sensor data corresponding to the property;

a terminal comprising a remote communication device in communication with the one or more property sensors and storing computer-readable instructions defining an automated webservice application configured to dynamically upload the property sensor data;

a second communication device configured to receive the property sensor data from the remote communication device, wherein the property sensor data includes at least one data parameter;

a memory configured to store (1) a plurality of sets identifying specific data parameters to be analyzed, wherein each of the plurality of sets is associated with one or more of (a) at least one characteristic of the property, (b) at least one characteristic of an entity seeking coverage, (c) a value of the at least one characteristic of the property, and (d) a value of the at least one characteristic of the entity seeking coverage, wherein each of the plurality of sets identifying specific data parameters to be analyzed is at least partially different from others of the plurality of sets identifying specific data parameters to be analyzed, and (2) a plurality of underwriting and pricing algorithms, wherein at least one of the plurality of underwriting and pricing algorithms applies a different set of sensor data parameter weights than another one of the plurality of underwriting and pricing algorithms;

an application server configured to;

render, for display on the terminal, a series of user interfaces for requesting data indicative of the at least one characteristic of the property and data indicative of the at least one characteristic of the entity;

receive, from the terminal, the data indicative of the at least one characteristic of the property and the data indicative of the at least one characteristic of the entity;

receive, from the terminal, the property sensor data dynamically uploaded by the automated webservice application;

identify, based on (1) the received data indicative of at least one characteristic of the property, (2) the received data indicative of at least one characteristic of the entity, and (3) the received property sensor data, one or more of the at least one characteristic of the property to be covered, the at least one characteristic of the entity seeking coverage, the value of the at least one characteristic of the property to be covered, and the value of the at least one characteristic of the entity seeking coverage,

dynamically select, based on (1) the received data indicative of at least one characteristic of the property, (2) the received data indicative of at least one characteristic of the entity, and (3) the received property sensor data, one of the plurality of sets identifying specific data parameters to be analyzed;

select the one of the plurality of underwriting and pricing algorithms that corresponds to the selected one of the plurality of sets identifying specific data parameters to be analyzed; and

dynamically analyze, by the selected one of the plurality of underwriting and pricing algorithms, the specific data parameters identified by the one of the plurality of sets identifying specific data parameters to be analyzed based on the corresponding sensor data parameter weights to generate one of data indicative of an underwriting determination and data indicative of a pricing determination; and

an output device configured to output the generated one of the data indicative of the underwriting determination and the data indicative of the pricing determination.

18. The system of claim 17, wherein the selected one of the plurality of underwriting and pricing algorithms is integral to a predictive model used to analyze the specific data parameters identified by the one of the plurality of sets identifying specific data parameters.

19. The system of claim 18, wherein the property sensor data comprises one of vehicle sensor data and building sensor data.

20. The system of claim 19, wherein the application server is configured to receive the property sensor data in real time.