Apparatus and method for determining vehicle load weight status

• US 20030040885A1
• Filed: 08/14/2001
• Published: 02/27/2003
• Est. Priority Date: 08/14/2001
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Mortenson, Douglas P., Schoess, Jeffrey N., Jicha, Thomas R.
• Application Number:
  US09/929,170
• Publication Number:
  US 20030040885A1
• Time in Patent Office: Days
• US Class Current: 702/173
• CPC Class Codes: G01G 19/042 having electrical weight-sensitive devices
• CPC Class Codes: G01G 19/08 for incorporation in vehicles
• CPC Class Codes: G01G 23/3728 with wireless means
• CPC Class Codes: G01G 3/16 measuring variations of frequency of oscillations of the body

Abstract

A system and method for determining load weight status for a vehicle, such as a rail car, is provided. The system may include an acceleration sensor secured to the vehicle, and a processor. The acceleration sensor is operable to obtain a vibration input associated with the vehicle, and the processor is operable to determine the load weight status from the vibration input using time domain processing. The time domain processing may include performing a histogram analysis on the vibration input, applying a selective threshold detection scheme, and performing a multi-timeslot voting procedure, according to one embodiment.

Claims

1. A system for determining load weight status for a vehicle operable to move over a surface, comprising in combination:

an acceleration sensor secured to the vehicle, wherein the acceleration sensor is operable to obtain a vibration input associated with the vehicle; and

a processor operable to determine the load weight status from the vibration input using time domain processing.

2. The system of claim 1, further comprising an output mechanism operable to provide the load weight status to an entity selected from the group consisting of a user and a monitoring system.

3. The system of claim 1, wherein the acceleration sensor is a single-axis accelerometer oriented to measure acceleration in a z-axis, wherein the z-axis is substantially orthogonal to the surface over which the vehicle is operable to move.

4. The system of claim 1, wherein the acceleration sensor is operable to periodically provide the vibration input to the processor as a voltage level per unit time.

5. The system of claim 1, wherein the acceleration sensor is connected to the processor by a link selected from the group consisting of a hard-wired connection and a wireless link.

6. The system of claim 1, wherein the acceleration sensor and the processor are co-located.

7. The system of claim 1, wherein the processor is located remotely from the acceleration sensor.

8. The system of claim 7, wherein the processor is located remotely from the vehicle.

9. The system of claim 1, further comprising a wireless transceiver operable communicate the load weight status wirelessly.

10. The system of claim 1, wherein the load weight status is communicated wirelessly to an entity selected from the group consisting of a handheld terminal, a traffic control tower, and a fleet administration authority.

11. The system of claim 1, wherein the vehicle is a rail car, and wherein the load weight status is communicated via a hard-wired connection to a locomotive connected to the rail car.

12. The system of claim 1, wherein the vehicle is selected from the group consisting of a rail car, a truck, a boat, and a bus.

13. The system of claim 1, wherein the vehicle is a rail car, and wherein at least one of the acceleration sensor and the processor is located within a portion of the rail car to avoid environmental exposure.

14. The system of claim 1, wherein the vehicle is a rail car operable to move on at least one rail, and wherein at least one of the acceleration sensor and the processor is located substantially away from the at least one rail.

15. The system of claim 1, further comprising an analog-to-digital converter connected between the acceleration sensor and the processor.

16. The system of claim 1, wherein the processor includes an associated memory.

17. The system of claim 1, wherein the vehicle is a rail car, wherein at least one of the acceleration sensor and the processor are integrated with a rail car handbrake device, and wherein the rail car handbrake device comprises:

a handbrake controller including the processor; and

a pneumatic brake release mechanism operable to operate a brake for the rail car.

18. A system for determining a load weight status for a rail car comprising, in combination:

an acceleration sensor operable to periodically provide a vibration input associated with movement by the rail car; and

a handbrake controller having a processor and means for operating a brake for the rail car, wherein the processor is operable to receive the vibration input, wherein the processor is operable to determine a vibration signature from the vibration input, and wherein the processor is operable to determine the load weight status by applying a time-domain histogram analysis to the vibration signature.

19. The system of claim 18, wherein the processor is operable to apply a voting scheme to assist in determining the load weight status.

20. A method for determining a load weight status for a vehicle, comprising in combination:

providing a vibration input associated with the vehicle; and

determining the load weight status by applying time-domain processing to the vibration input.

21. The method of claim 20, wherein the vibration input is provided by an acceleration sensor secured to the vehicle, and wherein the load weight status is determined by a processor linked to the acceleration sensor.

22. The method of claim 20, wherein determining the load weight status comprises:

applying a histogram algorithm to the vibration input to obtain at least one histogram;

applying a threshold detection scheme to determine the load weight status and a confidence factor for each of the at least one histogram; and

applying a voting algorithm to the load weight status and the confidence factor to determine a load weight status output.

23. A computer readable medium including instructions for causing a processor to execute the instructions of claim 22.