SYSTEM AND METHOD TO ANALYZE AND DETECT ANOMALIES IN VEHICLE SERVICE PROCEDURES

• US 20180005199A1
• Filed: 07/01/2016
• Published: 01/04/2018
• Est. Priority Date: 07/01/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Abuelsaad, Tamer E., Boss, Gregory J., Moore, JR., John E., Rendahl, Randy A.
• Granted Patent: US 10,592,870 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B

Abstract

A method and system for analyzing captured vehicle parts alteration data and correlating with vehicle service procedures to identify service completion and anomalies is disclosed. The method and system includes loading captured vehicle parts alteration data for a particular vehicle from a vehicle history module, the vehicle parts alteration data being captured by one or more sensors and stored in the vehicle history module, identifying predefined service procedure events and corresponding procedural steps for the particular vehicle, analyzing the captured vehicle parts alteration data for one or more events that match the predefined service procedure events; and for each service procedure event matched, automatically identifying anomalies by one or more of: identify procedural steps that have been completed and procedural steps that have not been completed and identifying procedural steps that were done that are not in one of the predefined service procedure events.

Claims

1. A method for analyzing captured vehicle parts alteration data and correlating with vehicle service procedures to identify service completion and anomalies, comprising:

(a) loading captured vehicle parts alteration data for a particular vehicle from a vehicle history module, the vehicle parts alteration data being captured by one or more sensors and stored in the vehicle history module;

(b) identifying predefined service procedure events and corresponding procedural steps for the particular vehicle;

(c) analyzing the captured vehicle parts alteration data for one or more events that match the predefined service procedure events; and

(d) for each service procedure event matched, automatically identifying anomalies by one or more of;

determining whether or not all procedural steps have been completed; and

determining whether one or more procedural steps were done that are not in one of the predefined service procedure events.

2. The method of claim 1, wherein the loaded captured vehicle parts alteration data for a particular vehicle is for one of the life of the vehicle and a selected period of time.

3. The method of claim 1, wherein the corresponding steps for one or more of the predefined service procedure events are performed in a prescribed order and the matched events are performed in the prescribed order.

4. The method of claim 1, wherein the loaded captured vehicle parts alteration data includes a set of ranking data related to which vehicle parts are considered more important than others and which service procedure events are more important than others, and merging the ranking data with the identified anomalies to rate the impact of the identified anomalies on the particular vehicle operational lifetime.

5. The method of claim 1, further including generating a report based on the matched the predefined service procedure events, the report including the identified anomalies and vehicle meta data, the vehicle meta data including at least one or more of location of service, mileage and length of service.

6. The method of claim 1, further including providing access to an external application or plug-in to perform independent analysis by the external application or plug-in, the access including granting access to the data and events of steps (a) and (b) to the external application or plug-in. matching module.

7. The method of claim 1, wherein the step of automatically identifying anomalies includes one or more of determining:

whether the procedure event was done at an authorized repair shop;

whether the procedure event was done at recommended mileage; and

whether the procedure steps were performed in the proper sequence.

8. A system comprising:

at least one data processor connected to at least one memory that stores software instructions, where execution of the software instructions by the at least one data processor causes the system to analyze captured vehicle parts alteration data and correlate with vehicle service procedures to identify service completion and anomalies by;

(a) loading captured vehicle parts alteration data for a particular vehicle from a vehicle history module, the vehicle parts alteration data being captured by one or more sensors and stored in the vehicle history module;

(b) identifying predefined service procedure events and corresponding procedural steps for the particular vehicle;

(c) analyzing the captured vehicle parts alteration data for one or more events that match the predefined service procedure events; and

(d) for each service procedure event matched, automatically identifying anomalies by one or more of;

identify procedural steps that have been completed and procedural steps that have not been completed; and

identifying procedural steps that were done that are not in one of the predefined service procedure events.

9. The system of claim 8, wherein the loaded captured vehicle parts alteration data for a particular vehicle is for one of the life of the vehicle and a selected period of time.

10. The system of claim 8, wherein the corresponding steps for one or more of the predefined service procedure events are performed in a prescribed order and the matched events are performed in the prescribed order.

11. The system of claim 8, wherein the loaded captured vehicle parts alteration data includes a set of ranking data related to which vehicle parts are considered more important than others and which service procedure events are more important than others, and merging the ranking data with the identified anomalies to rate the impact of the identified anomalies on the particular vehicle operational lifetime.

12. The system of claim 8, further including generating a report based on the matched the predefined service procedure events, the report including the identified anomalies and vehicle meta data, the vehicle meta data including at least one or more of location of service, mileage and length of service.

13. The system of claim 8, further including providing access to an external application or plug-in to perform independent analysis by the external application or plug-in, the access including granting access to the data and events of steps (a) and (b) to the external application or plug-in. matching module.

14. The system of claim 8, wherein the system further automatically identifies anomalies by one or more of determining:

whether the procedure event was done at an authorized repair shop;

whether the procedure event was done at recommended mileage; and

whether the procedure steps were performed in the proper sequence.

15. A computer program product comprising:

software instructions on a non-transitory computer-readable medium, where execution of the software instructions using a computer causes the computer to analyze captured vehicle parts alteration data and correlate with vehicle service procedures to identify service completion and anomalies by;

(a) loading captured vehicle parts alteration data for a particular vehicle from a vehicle history module, the vehicle parts alteration data being captured by one or more sensors and stored in the vehicle history module;

(b) identifying predefined service procedure events and corresponding procedural steps for the particular vehicle;

(c) analyzing the captured vehicle parts alteration data for one or more events that match the predefined service procedure events; and

(d) for each service procedure event matched, automatically identifying anomalies by one or more of;

identify procedural steps that have been completed and procedural steps that have not been completed; and

identifying procedural steps that were done that are not in one of the predefined service procedure events.

16. The computer program product of claim 15, wherein the loaded captured vehicle parts alteration data for a particular vehicle is for one of the life of the vehicle and a selected period of time.

17. The computer program product of claim 15, wherein the corresponding steps for one or more of the predefined service procedure events are performed in a prescribed order and the matched events are performed in the prescribed order.

18. The computer program product of claim 15, wherein the loaded captured vehicle parts alteration data includes a set of ranking data related to which vehicle parts are considered more important than others and which service procedure events are more important than others, and merging the ranking data with the identified anomalies to rate the impact of the identified anomalies on the particular vehicle operational lifetime.

19. The computer program product of claim 15, further including generating a report based on the matched the predefined service procedure events, the report including the identified anomalies and vehicle meta data, the vehicle meta data including at least one or more of location of service, mileage and length of service.

20. The computer program product of claim 15, further including providing access to an external application or plug-in to perform independent analysis by the external application or plug-in, the access including granting access to the data and events of steps (a) and (b) to the external application or plug-in. matching module.