Railroad train monitoring system

• US 8,212,685 B2
• Filed: 01/11/2010
• Issued: 07/03/2012
• Est. Priority Date: 12/23/2005
• Status: Active Grant

• Current Assignee: Amsted Rail Company Incorporated (Amsted Industries Incorporated)
• Original Assignee: Amsted Rail Company Incorporated (Amsted Industries Incorporated)
• Inventors: LeFebvre, William, McCann, Michael J.
• Primary Examiner(s): La, Anh V
• Application Number:
  US12/685,049
• Publication Number:
  US 20100174428A1
• Time in Patent Office: 904 Days
• Field of Search: 340/682, 340/870.17, 340/870.26, 340/870.3, 340/631, 340/632, 340/438, 340902-905, 73/530.5, 384/459, 384/446, 384/448, 384/456, 384/626, 246/169.R, 246/122.R, 246/292, 246/473.R
• US Class Current: 340/682
• CPC Class Codes: B60L 2200/26 Rail vehicles
• CPC Class Codes: B61K 13/00 Other auxiliaries or accessories for railways safety belts or harnesses A62B35/00
• CPC Class Codes: B61K 9/00 Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
• CPC Class Codes: B61L 15/0072 On-board train data handling
• CPC Class Codes: B61L 15/0081 On-board diagnosis or maintenance
• CPC Class Codes: B61L 2205/04 Satellite based navigation systems, e.g. global positioning system [GPS]
• CPC Class Codes: B61L 25/021 Measuring and recording of train speed
• CPC Class Codes: B61L 25/025 Absolute localisation, e.g. providing geodetic coordinates
• CPC Class Codes: B61L 27/40 Handling position reports or trackside vehicle data
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles

Abstract

Railcar monitoring utilizes instrumented, flexible pads supported within the truck pedestal jaws on the bearing adapters. The pads contain sensors for monitoring temperature pressure, shifting loads, truck hunting and the like and have circuitry for processing information received from the sensors and for processing and reporting departures of performance variables to a remote source. The system cyclically activates polling each pad on a car and communicates signals of critical departures and car identity to a remote source.

Claims

1. A monitoring system for monitoring performance criteria of a railcar, said railcar including a car body and a plurality of trucks each carrying one or more wheel sets mounted on said railcar, comprising:

one or more elastomeric pads disposed between each wheel set and its corresponding truck;

one or more sensors disposed on one or more of said pads, said sensors measuring parameters relevant to the operating performance of said railcar;

a computational element disposed on one or more of said pads programmed to control the periodicity and sampling frequency of readings from said one or more sensors and for performing an analysis of data gathered via said readings;

a communication element disposed on one or more of said pads for transmitting data selected as a result of said analysis; and

wherein said one or more pads are in direct communication with one or more other of said pads and further wherein data transmitted by any one of said pads may be relayed by another of said pads to a receiver.

2. The monitoring system of claim 1 wherein said receiver comprises:

a data control unit, mounted on a train of which said railcar is a part, for receiving data transmitted from one or more of said pads, for analyzing said data, and for selectively communicating said data to a remote location.

3. The monitoring system of claim 2 wherein data transmitted by any of said pads may be relayed to another of said pads before reaching said data control unit.

4. The monitoring system of claim 2

wherein said one or more pads may be located on multiple railcars.

5. The monitoring system of claim 2,

wherein said data control unit programs said computational element on each of said pads to control (i) the sampling frequency for each sensor associated with said pad;

(ii) the periodicity of sampling for each sensor associated with said pad; and

(iii) how often collected data should be transmitted via said communications element to said data control unit.

6. The monitoring system of claim 5, wherein said data control unit communicates said data to said remote location wirelessly.

7. The monitoring system of claim 5, wherein said communication element on each of said pads transmits said gathered data wirelessly to said data control unit.

8. The monitoring system of claim 2, wherein each of said sensors is responsive to one or more of a plurality of variables, including changes in compressive stress, shear stress and temperature within said pad.

9. The monitoring system of claim 2, wherein each of said pads transmits an unsolicited or unscheduled message if the corresponding computational element determines that said gathered data is outside an acceptable range for a particular sensed parameter.

10. The monitoring system of claim 2, wherein said data control unit also contains a computational element, further comprising:

an inference engine, implemented as software running in said computational element of said data control unit, said inference engine deriving inferences regarding the status of said railcar based on data collected by a plurality of sensors located on a plurality of pads.

11. The monitoring system of claim 10 wherein said logical inference engine is distributed over said one or more computational elements of said pads and said computational element of said data control unit.

12. The monitoring system of claim 10, wherein said data control unit transmits a message to said remote location when it determines that said inferred status indicates a problem in the operation or performance of said railcar.

13. The monitoring system of claim 10, wherein said data control unit periodically transmits a status message to said remote location when said inferred status indicates that said railcar is operating with acceptable boundaries.

14. The monitoring system of claim 10 wherein said inference engine uses information available from outside sources in addition to all data collected regarding said railcar in deriving said inferences regarding the behavior of said railcar.

15. The monitoring system of claim 14 wherein said outside sources are selected from a group consisting of a GPS device, an ambient temperature sensor, a speed sensor, an ambient humidity sensor, an accelerometer and a gyroscope.

16. The monitoring system of claim 1 wherein said pads are powered by power elements which generate energy from the motion of said railcars.

17. A method of monitoring performance of interconnected mobile units having bodies supported by wheels, wherein one of said mobile units is a controllable prime mover and the remainder of said units are interconnected to said prime mover, said method comprising:

providing interfacing pads between the wheels and the bodies of the mobile units, said pads having embedded sensors for measuring operational parameters of said mobile units, said pads being programmable to control the sampling frequency for each sensor and the periodicity of sampling for each of said sensors; and

providing, on said pads, a computational capability for evaluating said measured operational parameters, and for identifying performance behavior derived from said measured operational parameters considered to be outside of a normal operating range; and

communicating to a single location messages identifying the performance behavior to be outside of a normal operating range.

18. A method of monitoring according to claim 17, further including the step of including in the messages communicated to said single location an identification code unique to the mobile unit from which the signals identifying behavior considered to be outside of a normal operating range originate.

19. The method of claim 17 wherein said single location is located on said prime mover.