Automated tie marking

Patent metadata

Field	Value
Publication number	US-11565730-B1
Application number	US-202217687025-A
Country	US
Kind code	B1
Filing date	Mar 4, 2022
Priority date	Mar 4, 2022
Publication date	Jan 31, 2023
Grant date	Jan 31, 2023

Abstract

A system and method for automating railroad maintenance for a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables the automating of an adaptive maintenance process for the asset that is being maintainanced. The system can identify a railroad asset scheduled for maintenance using various forms of inspection including real-time kinematic (RTK)-corrected GPS data, radar signal processing data, and real-time imaging. The system also provides for the acquisition and upload of asset pictures for verification and analysis of a railroad asset. The system can identify a next location to perform maintenance and can calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics. The system further can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset.

First claim

What is claimed is:

1. A method for performing maintenance using electronic tie marking (ETM), comprising:
receiving a maintenance operation request for a maintenance item, the request having a calibration location, predetermined maintenance information, and location information for a maintenance operation;
positioning a first vehicle having a GPS receiver identifying the first vehicle location at the calibration location by correlating the first vehicle location with the calibration location;
calculating a travel distance from the calibration location to a maintenance location based on the maintenance information;
traveling the travel distance from the calibration location to the maintenance location to perform the maintenance operation for a maintenance item at the maintenance location;
capturing an image of the maintenance item;
generating an analysis of the maintenance item based on the image; and
automatically performing a maintenance operation based on the analysis.

2. The method of claim 1 , wherein the method further comprises:
verifying a calibration location of a machine based on the maintenance information and the location information; and traveling to the calibration location to calibrate the machine.

3. The method of claim 1 , wherein the file is via a Universal Serial Bus (USB).

4. The method of claim 1 , wherein the calibration location is verified based on a comparison between the location information with real-time kinematic (RTK) corrected global position system (GPS) data, radar signal processing, and a real-time image.

5. The method of claim 1 , further comprising transmitting the image to a central server to generate the analysis, wherein the central server includes a server on a machine in a tie gang or the central server includes a server in a cloud-based environment.

6. The method of claim 1 , wherein the maintenance item is to receive maintenance when the analysis meets a condition.

7. The method of claim 1 , wherein the maintenance item is to receive maintenance based on a maintenance indicator, wherein the maintenance indicator is based on whether the maintenance item already received maintenance.

8. The method of claim 1 , wherein the maintenance item is to receive maintenance based on a comparison between the maintenance information and information from the image including railway plate hole characteristics, railway spike patterns, and a distance corresponding to the plate hole characteristics.

9. The method of claim 1 , wherein the maintenance information includes tie marking information and tie grading information.

10. The method of claim 1 , wherein the maintenance action is based on at least one workhead actions such as spike pulling, anchor spreading, and tie kicking, wherein the maintenance item includes a railway tie.

11. The method of claim 1 , wherein the analysis is based on image analysis techniques, wherein the image analysis techniques include a machine learning model.

12. A system for electronic tie marking (ETM), comprising:
a memory including railway markings for ETM; and
a networked computer processor operably coupled to the memory and capable of executing machine-readable instructions to perform program steps, the program steps comprising:
receiving a maintenance operation request for a maintenance item, the request having a calibration location, predetermined maintenance information, and location information for a maintenance operation;
positioning a first vehicle having a GPS receiver identifying the first vehicle location at the calibration location by correlating the first vehicle location with the calibration location;
calculating a travel distance from the calibration location to a maintenance location based on the maintenance information;
traveling the travel distance from the calibration location to the maintenance location to perform the maintenance operation for a maintenance item at the maintenance location;
capturing an image of the maintenance item;
generating an analysis of the maintenance item based on the image; and
automatically performing a maintenance operation based on the analysis.

13. The system of claim 12 , wherein the file is via a Universal Serial Bus (USB).

14. The system of claim 12 , wherein the calibration location is verified based on a comparison between the location information with real-time kinematic (RTK) corrected global position system (GPS) data, radar signal processing, and a real-time image.

15. The system of claim 12 , further comprising transmitting the image to a central server to generate the analysis, wherein the central server includes a server on a machine part of a tie gang or a server in a cloud-based environment.

16. The system of claim 12 , wherein the maintenance item is to receive maintenance when a paint marker is present.

17. The system of claim 12 , wherein the maintenance item is to receive maintenance based on a maintenance indicator, wherein the maintenance indicator is based on whether the maintenance item already received maintenance.

18. The system of claim 12 , wherein the maintenance item is to receive maintenance based on a comparison between the maintenance information and information from the image including railway plate hole characteristics, railway spike patterns, and a distance corresponding to the plate hole characteristics.

19. The system of claim 12 , wherein the location information includes latitude and longitude information.

20. The system of claim 12 , wherein the maintenance information includes tie marking information and tie grading information.

21. The system of claim 12 , wherein the maintenance action is based on at least one of spike pulling, an anchor spreading, or tie kicking, wherein the maintenance item includes a railway tie.

22. The system of claim 12 , wherein the analysis is based on image analysis techniques, wherein the image analysis techniques include a machine learning model.

Assignees

• Bnsf Railway Co

Inventors

• Brick Michael James
• Kelly Lisa Marie
• Minton Samuel
• Keller Richard William

Classifications

• E01B35/00

  Applications of measuring apparatus or devices for track-building purposes (apparatus on locomotives or cars to indicate or record bad track sections B61K9/00; measuring angles, linear dimensions, or irregularities in general G01B, G01C) · CPC title

• E01B29/26

  the fastening means being spikes (E01B29/16 takes precedence; hand-held tools for nail or staple driving or extracting B25C) · CPC title

• B61L25/025 Primary

  Absolute localisation, e.g. providing geodetic coordinates · CPC title

• E01B29/02

  Transporting, laying, removing, or renewing lengths of assembled track, assembled switches, or assembled crossings (E01B29/04 takes precedence) · CPC title

• B61L23/042

  Track changes detection · CPC title