Health monitoring system for diagnosing and reporting anomalies

• US 9,547,944 B2
• Filed: 06/10/2015
• Issued: 01/17/2017
• Est. Priority Date: 06/10/2015
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Nelson, Erik T., Vechart, Andrew Peter, De Mers, Robert E
• Primary Examiner(s): Beaulieu, Yonel
• Application Number:
  US14/735,807
• Publication Number:
  US 20160364920A1
• Time in Patent Office: 587 Days
• US Class Current: 1/1
• CPC Class Codes: B60K 35/00 Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
• CPC Class Codes: G07C 5/00 Registering or indicating the working of vehicles
• CPC Class Codes: G07C 5/006 Indicating maintenance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• 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 5/085 using electronic data carriers

Abstract

A health monitoring system for monitoring a vehicle and a method for operating the same are provided. The system, for example, may include, but is not limited to, at least one sensor configured to collect data corresponding to the vehicle, an interface system, a memory, and a processor communicatively coupled to the at least one sensor, the interface system and the memory, the processor configured to: determine when the vehicle is experiencing an anomaly, collect, from the interface system, data corresponding to the anomaly from a user of the vehicle, and associate, the data collected from the interface system and the data collected from the at least one sensor.

Claims

1. A health monitoring system for monitoring a vehicle, comprising:

at least one sensor configured to collect data corresponding to the vehicle;

a memory; and

a processor communicatively coupled to the at least one sensor, the memory, and an interface system, the processor configured to;

determine when the vehicle is experiencing an anomaly;

collect, after the processor determines that the vehicle is experiencing the anomaly, user observed anomaly data corresponding to the anomaly from a user of the vehicle from the interface system; and

associate the user observed anomaly data collected from the interface system with the data collected from the at least one sensor during the anomaly, wherein the processor is further configured to;

determine, based upon the user observed anomaly data collected from the interface system and the data collected from the at least one sensor, a vehicle safety level; and

output, to the interface system, the vehicle safety level.

2. The health monitoring system of claim 1, wherein the processor is further configured to output a warning through the interface system when the vehicle safety level exceeds a predetermined threshold.

3. The health monitoring system of claim 1, wherein the processor is configured to determine when the vehicle is experiencing the anomaly based upon data from the interface system.

4. The health monitoring system of claim 1, further comprising:

a vehicle system communicatively coupled to the at least one sensor and the processor, wherein the processor is configured to determine when the vehicle is experiencing an anomaly based upon data from the at least one sensor and data from the vehicle system.

5. The health monitoring system of claim 4, wherein the vehicle system is a health and usage management system.

6. The health monitoring system of claim 4, wherein the vehicle system outputs an indication of an anomaly when data from the at least one sensor does not correspond to a known vehicle state or a known vehicle fault.

7. The health monitoring system of claim 1, wherein the processor is further configured to:

determine, based upon the user observed anomaly data collected from the interface system and the data collected from the at least one sensor, whether additional data is needed to analyze the data collected from the interface system and the data collected from the at least one sensor; and

output, via the interface system, at least one question when the processor determines additional data is needed to analyze the data collected from the interface system and the data collected from the at least one sensor.

8. The health monitoring system of claim 7, wherein the at least one question is an observational question.

9. The health monitoring system of claim 7, wherein the at least one question is a diagnostic question.

10. The health monitoring system of claim 1, wherein the interface system comprises a voice recognition system.

11. A method for controlling a health monitoring system for a vehicle, comprising:

determining, by a processor, when the vehicle is experiencing an anomaly;

collecting, by the processor, sensor data from at least one sensor and associating the data collected from the at least one sensor with the anomaly when the processor determines the vehicle is experiencing the anomaly;

collecting, by the processor, user observed anomaly data from an interface system and associating the user observed anomaly data collected from the interface system with the anomaly when the processor determines the vehicle is experiencing the anomaly; and

storing, by the processor, the sensor data associated with the anomaly and the user observed anomaly associated with the anomaly in a memory;

the method further comprising;

determining, by the processor, a safety level of the vehicle based upon the sensor data associated with the anomaly and the user observed anomaly associated with the anomaly; and

outputting, by the processor, the determined safety level via the interface system.

12. The method of claim 11, wherein the determining when the vehicle is experiencing the anomaly further comprises, determining the vehicle is experiencing the anomaly based upon user data received from the interface system.

13. The method of claim 11, wherein the determining when the vehicle is experiencing the anomaly further comprises receiving, from a vehicle system, an indication of the anomaly when data from the at least one sensor does not correspond to a known vehicle state or a known vehicle fault.

14. The method of claim 11, wherein the determining when the vehicle is experiencing the anomaly further comprises determining, by the processor, that the vehicle is experiencing an anomaly when data from the at least one sensor does not correspond to a known vehicle state or a known vehicle fault.

15. The method of claim 11, wherein the processor is further configured output a warning via the interface system when the safety level exceeds a predetermined threshold.

16. The method of claim 15, further comprising:

determining, by the processor, when additional data is needed to analyze the data associated with the anomaly based upon the sensor data associated with the anomaly and the user observed anomaly associated with the anomaly;

outputting, by the processor, at least one question when the processor determines additional data is needed to analyze the data associated with the anomaly via the interface system; and

determining, by the processor, the safety level of the vehicle based upon the data associated with the anomaly.

17. The method of claim 16, wherein the at least one question is an observational question.

18. The method of claim 16, wherein the at least one question is a diagnostic question.