Method and system for sensor monitoring and analysis

Patent metadata

Field	Value
Publication number	US-10451526-B2
Application number	US-201715664024-A
Country	US
Kind code	B2
Filing date	Jul 31, 2017
Priority date	Jul 31, 2017
Publication date	Oct 22, 2019
Grant date	Oct 22, 2019

Abstract

A method for monitoring performance of at least one component on a moving platform, the method including receiving sensor data for the at least one component, along with supplemental data, at a processing node; and processing the sensor data, the processing using the supplemental data to filter the sensor data.

First claim

The invention claimed is:

1. A method for monitoring performance of at least one component on a moving platform, the method comprising:
receiving sensor data for the at least one component, along with supplemental data, at a processing node; and
processing the sensor data, the processing using the supplemental data to filter the sensor data;
wherein the supplemental data comprises at least one of:
a location fix, a time stamp, an image from a camera on the moving platform, a temperature, a pressure, weather conditions, map information, historic data from the moving platform, historic data from a different moving platform, or load information.

2. The method of claim 1 , wherein the at least one component is a wheel assembly, and wherein the sensor data comprises data from at least one of: a bearing sensor; a tire pressure monitoring sensor; or an acoustic sensor.

3. The method of claim 2 , wherein sensor data from the acoustic sensor is processed in the frequency domain to develop a characteristic signature.

4. The method of claim 3 , wherein the processing comprises comparing the characteristic signature against a baseline characteristic signature.

5. The method of claim 2 , wherein sensor data from the bearing sensor includes at least one of vibration or temperature data.

6. The method of claim 5 , wherein the processing comprises comparing sensor data from the wheel assembly with sensor data from at least one other wheel assembly on the moving platform.

7. The method of claim 2 , wherein the supplemental data includes a location fix and a timestamp, and wherein the processing comprises:
retrieving weather conditions based on the location fix and timestamp; and filtering the sensor data based on the weather conditions.

8. The method of claim 2 , wherein the supplemental data includes a position fix, and wherein the processing comprises:
retrieving road information based on the position fix; and
filtering the sensor data based on the road information.

9. The method of claim 2 , wherein the supplemental data is an image from a camera on the moving platform, and wherein the processing comprises:
performing image processing to determine road conditions; and
filtering the sensor data based on the determined road conditions.

10. The method of claim 2 , further comprising using historical data from at least one of the moving platform or a fleet of moving platforms to further process the sensor data.

11. A processing node for monitoring performance of at least one component on a moving platform, the processing node comprising:
a processor; and
a communications subsystem,

wherein the processing node is configured to:
receive sensor data for the at least one component, along with supplemental data; and
process the sensor data, the processing using the supplemental data to filter the sensor data;
wherein the supplemental data comprises at least one of:
a location fix, a time stamp, an image from a camera on the moving platform, a temperature, a pressure, weather conditions, map information, historic data from the moving platform, historic data from a different moving platform, or load information.

12. The processing node of claim 11 , wherein the at least one component is a wheel assembly, and wherein the sensor data comprises data from at least one of: a bearing sensor; a tire pressure monitoring sensor; or an acoustic sensor.

13. The processing node of claim 12 , wherein sensor data from the acoustic sensor is processed in the frequency domain to develop a characteristic signature.

14. The processing node of claim 13 , wherein the processing node is configured to process by comparing the characteristic signature against a baseline characteristic signature.

15. The processing node of claim 12 , wherein sensor data from the bearing sensor includes at least one of vibration or temperature data.

16. The processing node of claim 15 , wherein the processing node is configured to process by comparing sensor data from the wheel assembly with sensor data from at least one other wheel assembly on the moving platform.

17. The processing node of claim 12 , wherein the supplemental data includes a location fix and a timestamp, and wherein the processing node is configured to process by:
retrieving weather conditions based on the location fix and timestamp; and
filtering the sensor data based on the weather conditions.

18. The processing node of claim 12 , wherein the supplemental data includes a position fix, and wherein the processing node is configured to process by:
retrieving road information based on the position fix; and
filtering the sensor data based on the road information.

19. The processing node of claim 12 , wherein the supplemental data is an image from a camera on the moving platform, and wherein the processing node is configured to process by:
performing image processing to determine road conditions; and
filtering the sensor data based on the determined road conditions.

20. The processing node of claim 12 , wherein the processing node is further configured to use historical data from at least one of the moving platform or a fleet of moving platforms to further process the sensor data.

21. A computer readable medium for storing instruction code, which, when executed by a processor on a processing node are configured for monitoring performance of at least one component on a moving platform, the instruction code causing the processing node to:
receive sensor data for the at least one component, along with supplemental data; and
process the sensor data, the processing using the supplemental data to filter the sensor data;
wherein the supplemental data comprises at least one of:
a location fix, a time stamp, an image from a camera on the moving platform, a temperature, a pressure, weather conditions, map information, historic data from the moving platform, historic data from a different moving platform, or load information.

Assignees

• Blackberry Ltd

Inventors

• Montemurro Michael Peter
• Williams Roland Emlyn
• Lepp James Randolph Winter
• Mccann Stephen

Classifications

• G01N2291/2692

  Tyres · CPC title

• G01N29/4454

  Signal recognition, e.g. specific values or portions, signal events, signatures · CPC title

• G01N29/46 Primary

  by spectral analysis, e.g. Fourier analysis {or wavelet analysis (spectral signal processing per se G06F17/14)} · CPC title

• G01N2291/2696

  Wheels, Gears, Bearings · CPC title

• G01N29/14

  using acoustic emission techniques {(echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00)} · CPC title