INTERFACE DEVICE, VEHICLE EXAMINING DEVICE CONNECTING WITH THE INTERFACE DEVICE, AND CONTROLLING METHOD OF THE VEHICLE EXAMINING DEVICE

• US 20160240021A1
• Filed: 10/22/2015
• Published: 08/18/2016
• Est. Priority Date: 02/12/2015
• Status: Active Grant

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Inventors: RYU, Seongpil, AHN, Dongjun, YANG, Young Jee, KIM, JiTae
• Granted Patent: US 9,830,750 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 23/0267 Fault communication, e.g. human machine interface [HMI]
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction

Abstract

An interface device includes an input module for receiving evaluation data of a vehicle input by a user, and a display module for displaying one or more estimated causes corresponding to the evaluation data, wherein the input module receives one estimated cause selected from the estimated causes as a real cause.

Claims

1. An interface device comprising:

an input module for receiving evaluation data of a vehicle input by a user; and

a display module for displaying one or more estimated causes corresponding to the evaluation data,

wherein the input module receives one estimated cause selected from the estimated causes as a real cause.

2. The interface device according to claim 1, wherein the input module receives a solution for the real cause input by the user.

3. The interface device according to claim 1, further comprising a communication module for transmitting a signal to, and for receiving a signal from, a vehicle examination apparatus analyzing the one or more estimated causes based on a mapping model.

4. The interface device according to claim 3, wherein the input module receives information pertaining to whether to update the mapping model.

5. A vehicle examining device comprising:

a storage module for storing a mapping model; and

a cause analyzing module for analyzing an estimated cause corresponding to evaluation data input by a user based on the mapping model.

6. The vehicle examining device according to claim 5, further comprising:

a display module for displaying the estimated cause to the user; and

an input module for receiving one estimated cause selected out of one or more estimated causes as a real cause from the user.

7. The vehicle examining device according to claim 6, wherein the cause analyzing module stores an evaluation result comprising the evaluation data and the real cause in the storage module.

8. The vehicle examining device according to claim 7, wherein the input module receives a solution input by the user, and

the cause analyzing module stores an evaluation result comprising the evaluation data, the real cause, the solution and the estimated cause in the storage module.

9. The vehicle examining device according to claim 7, wherein the storage module stores a refined evaluation result as sampling data.

10. The vehicle examining device according to claim 7, further comprising a cause learning module for updating the mapping model,

wherein the storage module stores sampling data respectively corresponding to a plurality of evaluation results, and

the cause learning module updates the mapping model based on the sampling data.

11. The vehicle examining device according to claim 5, further comprising a performance test module for testing performance of the mapping model on the basis of at least one performance index.

12. The vehicle examining device according to claim 5, further comprising a communication module for receiving the evaluation data input by the user from an interface device and transmit the estimated cause to the interface device.

13. The vehicle examining device according to claim 12, wherein the communication module receives one estimated cause selected by the user out of one or more estimated causes from the interface device as a real cause.

14. The vehicle examining device according to claim 13, wherein the cause analyzing module stores an evaluation result comprising the evaluation data and the real cause in the storage module.

15. The vehicle examining device according to claim 14, wherein the communication module receives a solution input by the user from the interface device, and

the cause analyzing module stores an evaluation result comprising the evaluation data, the real cause, the solution and the estimated cause in the storage module.

16. The vehicle examining device according to claim 14, further comprising a cause learning module for updating the mapping model,

wherein the storage module stores sampling data respectively corresponding to a plurality of evaluation results, and

the cause learning module updates the mapping model based on the sampling data.

17. A method of controlling a vehicle examining device, the method comprising:

receiving evaluation data of a vehicle from a user by an input module;

analyzing an estimated cause corresponding to the evaluation data based on a mapping model stored in a storage module by a cause analyzing module; and

displaying one or more estimated causes corresponding to the evaluation data by a display module.

18. The method according to claim 17, further comprising receiving one estimated cause selected out of the one or more estimated causes as a real cause by the input module.

19. The method according to claim 18, further comprising storing an evaluation result comprising the evaluation data and the real cause in the storage module by the cause analyzing module.

20. The method according to claim 19, further comprising:

generating storing sampling data corresponding to the evaluation result and storing the generated sampling data in the storage module by a cause learning module; and

updating the mapping model based on the sampling data respectively corresponding to a plurality of evaluation results stored in the storage module by the cause learning module.