IP Library Patent Application 13608355
Patent Application
App. No. 13/608,355

IDENTIFYING VEHICLE SYSTEMS USING VEHICLE COMPONENTS

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Quick Facts
Patent No.
US None
App. No.
13/608,355
Abstract

Embodiments of a repair correlation system are described, wherein the repair correlation system identifies related vehicle repairs based on key parts (or the most important parts) of an automotive sub-system. The repair correlation system can use a database or other data repository of matching parts to identify related automotive sub-systems (e.g., engine, transmission, etc.) by matching key parts for sub-systems across different brands and models. For example, the repair correlation system can determine that repairs for a first engine with key parts A, B, and C are applicable to a second engine with the same key parts. Thus, an engine in a Honda car and an engine in a Ford car could be identified by the system as having co-applicable repair data based at least partly on the key parts matching, even though the engines are used by different brands and models.

Claims (54)

1 . A system for identifying repair recommendations for vehicle systems, the system comprising:

one or more computer processors configured to execute software modules including:

a repair correlation module configured to:

identify key parts of a first vehicle system of a first vehicle;

identify one or more related vehicle systems from one or more vehicles different from the first vehicle by matching the key parts of the first vehicle system with corresponding parts in the one or more related vehicle systems; and

associate the one or more related vehicle systems with the first vehicle system;

a repair recommendation module that responds to repair recommendation requests, the repair recommendation module configured to:

receive a request for repair recommendations for the first vehicle system of the first vehicle;

obtain repair data for the first vehicle system;

obtain repair data for the one or more related vehicle systems associated with the first vehicle system; and

generate one or more repair recommendations based at least partly on the repair data for the one or more related vehicle systems and the repair data for the first vehicle system.

2 . The system of claim 1 , wherein the first vehicle and the one or more related vehicles are produced by different manufacturers.

3 . The system of claim 1 , wherein the first vehicle and the one or more related vehicles are different vehicle models produced by a first manufacturer.

4 . The system of claim 1 , wherein the repair recommendation module assigns a confidence score to a first repair recommendation based at least partly on a level of similarity between the matched key parts of the first vehicle system and the corresponding parts in the related vehicle system from which the first repair recommendation is derived.

5 . The system of claim 1 , wherein the repair recommendation module assigns a confidence score to a first repair recommendation based at least partly on a number of key parts of the first vehicle system having a match with the corresponding parts in the related vehicle system from which the first repair recommendation is derived.

6 . The system of claim 1 , further comprising a data repository storing parts data and repair data for vehicle systems for multiple vehicles.

7 . The system of claim 1 , wherein said matching the key parts of the first vehicle system with corresponding parts in the one or more related vehicle systems comprises comparing part numbers of the key parts to part numbers of the corresponding parts.

8 . The system of claim 1 , wherein the repair correlation module is configured to identify the key parts of the first vehicle system of the first vehicle by:

identifying one or more vehicles similar to the first vehicle; and

selecting key parts of the first vehicle system based at least partly on key parts of one or more corresponding systems of the similar vehicles.

9 . The system of claim 1 , wherein the repair correlation module is configured to identify the key parts of the first vehicle system of the first vehicle based at least partly on user designated key parts of the first vehicle system.

10 . The system of claim 1 , wherein the repair recommendation module is configured to generate the one or more repair recommendations by:

identifying an issue with the first vehicle system based on the request for repair recommendations;

identifying a first solution to the issue with the first vehicle system based on the repair data for the first vehicle system;

identifying a second solution to the issue with the first vehicle based on repair data for the one or more related vehicle systems associated with the first vehicle system; and

providing the first solution and the second solution in the one or more repair recommendations.

11 . A method for identifying repair recommendations, the method comprising:

receiving a request for information regarding a first vehicle;

determining a first vehicle system associated with the request;

accessing a data structure storing associations between vehicle systems of various vehicles, the associations determined based on matching key parts of respective vehicle systems;

selecting, from the data structure, one or more related vehicle systems that are associated with the first vehicle system, the one or more related vehicle systems from one or more vehicles different from the first vehicle;

obtaining repair data for the one or more related vehicle systems from a repair data repository; and

providing the obtained repair data to an entity that requested the information regarding the first vehicle.

12 . The method of claim 11 , further comprising:

associating, in a data repository, the repair data for the one or more related vehicle systems with the first vehicle system.

13 . The method of claim 12 , wherein said associating the repair data comprises linking the repair data for the one or more related vehicle systems with the first vehicle system in the data repository.

14 . The method of claim 11 , wherein said matching key parts of respective vehicle systems comprises comparing matching part numbers.

15 . The method of claim 11 , wherein key parts of the first vehicle system of the first vehicle are selected based on user designations of key parts of the first vehicle system.

16 . The method of claim 11 , wherein said receiving the request comprises receiving the request from a first computing device over a computer network and said providing the obtained repair data comprises transmitting the obtained repair data to the first computing device over the computer network.

17 . Non-transitory computer storage having stored thereon instructions that, when executed, direct a computing system to:

receive a request for information regarding a first vehicle;

determine a first vehicle system associated with a request;

access a data structure storing associations between vehicle systems of various vehicles, the associations determined based on matching key parts of respective vehicle systems;

select, from the data structure, one or more related vehicle systems that are associated with the first vehicle system, the one or more related vehicle systems from one or more vehicles different from the first vehicle;

obtain repair data for the one or more related vehicle systems from a repair data repository; and

provide the obtained repair data to an entity that requested the information regarding the first vehicle.

18 . The non-transitory computer storage of claim 17 , wherein the instructions direct the computing system to associate the repair data with the first vehicle system by linking the repair data with the first vehicle system in a data repository.

19 . The non-transitory computer storage of claim 17 , further comprising instructions that direct the computing system to, in response to a request for a repair recommendation for the first vehicle, determine a responsive repair recommendation based at least partly on the repair data for the one or more related vehicle systems from the one or more vehicles different from the first vehicle.

20 . The non-transitory computer storage of claim 19 , further comprising instructions that direct the computing system to determine the responsive repair recommendation by:

identifying an issue with the first vehicle system based on the request for repair recommendations;

identifying a first solution to the issue with the first vehicle system based on the repair data for the first vehicle system;

identifying a second solution to the issue with the first vehicle based on repair data for the one or more related vehicle systems associated with the first vehicle system; and

including the first and second solution in the responsive repair recommendation.

21 . The non-transitory computer storage of claim 17 , wherein the instructions direct the computing system to provide the obtained data to the entity by transmitting the data over a computer network to a computing device associated with the entity.

Assignments (4)
RELEASE OF SECURITY INTEREST Recorded Dec 9, 2013
From: GENERAL ELECTRIC CAPITAL CORPORATION
To: SERVICE REPAIR SOLUTIONS, INC.
Reel/Frame 031742/0907 →
SECURITY AGREEMENT Recorded Jul 25, 2013
From: SERVICE REPAIR SOLUTIONS, INC.
To: GENERAL ELECTRIC CAPITAL CORPORATION
Reel/Frame 030889/0529 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2013
From: SERVICE REPAIR SOLUTIONS, INC.
To: MOBILE PRODUCTIVITY INC.
Reel/Frame 030703/0898 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 29, 2012
From: ZOBRIST, NATE; DALEY, MARCUS ISAAC; BERGQUIST, CHARLES MARTIN; KLINGENSMITH, KENT CHARLES
To: SERVICE REPAIR SOLUTIONS, INC.
Reel/Frame 029377/0514 →