System and method integrating an energy management system and yard planner system

• US 10,399,584 B2
• Filed: 05/30/2018
• Issued: 09/03/2019
• Est. Priority Date: 03/27/2014
• Status: Active Grant

• Current Assignee: GE Global Sourcing LLC (Westinghouse Air Brake Technologies Corporation)
• Original Assignee: GE Global Sourcing LLC (Westinghouse Air Brake Technologies Corporation)
• Inventors: Brooks, James D., Mathews, Jr., Harry Kirk, Schoonmaker, William
• Primary Examiner(s): Shafi, Muhammad
• Application Number:
  US15/992,749
• Publication Number:
  US 20180273064A1
• Time in Patent Office: 461 Days
• Field of Search: 701 19
• CPC Class Codes: B61L 17/00 Switching systems for classification yards
• CPC Class Codes: B61L 27/12 Preparing schedules
• CPC Class Codes: B61L 27/14 Following schedules
• CPC Class Codes: B61L 27/16 Trackside optimisation of vehicle or train operation
• CPC Class Codes: B61L 27/40 Handling position reports or trackside vehicle data

Abstract

A system and method identifies vehicles to be included in a multi-vehicle system that is to travel along one or more routes for an upcoming trip, and determines plural different potential builds of the multi-vehicle system. The different potential builds represent different sequential orders of the vehicles in the multi-vehicle system. The system and method also simulate travels of the different potential builds for the upcoming trip, calculate a safety metric, consumption metric, and/or build metric for the different potential builds based on travels that are simulated, and generates a quantified evaluation of the safety metric, consumption metric, and/or build metric for the different potential builds for use in selecting a chosen potential build of the different potential builds. The chosen potential build is used to build the multi-vehicle system for the upcoming trip.

Claims

1. A method comprising:

identifying, with one or more processors, vehicles to be included in a multi-vehicle system that is to travel along one or more routes for an upcoming trip;

determining, with the one or more processors, plural different potential builds of the multi-vehicle system, the different potential builds representing different sequential orders of the vehicles in the multi-vehicle system;

simulating, with the one or more processors, travels of the different potential builds of the multi-vehicle system over the one or more routes of the upcoming trip;

calculating, with the one or more processors, one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system based on travels of the different potential builds that are simulated; and

generating, with the one or more processors, a quantified evaluation of the one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system for use in selecting a chosen potential build of the different potential builds, wherein the chosen potential build is used to build the multi-vehicle system for the upcoming trip.

2. The method of claim 1, wherein the different potential builds of the multi-vehicle system differ from each other in that the different potential builds include one or more of:

different numbers of propulsion-generating vehicles of the vehicles in the multi-vehicle system,

different locations of the propulsion-generating vehicles in the multi-vehicle system,

different numbers of non-propulsion-generating vehicles of the vehicles in the multi-vehicle system, or

different locations of the non-propulsion-generating vehicles in the multi-vehicle system.

3. The method of claim 1, wherein the different potential builds of the multi-vehicle system differ from each other in that the different potential builds include different locations of combined blocks of the non-propulsion-generating vehicles in the multi-vehicle system,

wherein the non-propulsion-generating vehicles included in each of the combined blocks remains constant across or through the different potential builds of the multi-vehicle system.

4. The method of claim 1, wherein simulating travel of the different potential builds of the multi-vehicle system includes calculating the one or more safety metrics, consumption metrics, or build metrics based on a trip plan for the upcoming trip that designates one or more operational settings of the different potential builds of the multi-vehicle system at one or more of different locations along the one or more routes, different distances along the one or more routes, or different times during the upcoming trip.

5. The method of claim 1, wherein the safety metrics are calculated by the one or more processors for the different potential builds of the multi-vehicle system, the safety metrics representing inter-vehicle forces that are calculated for the different potential builds in the travels that are simulated.

6. The method of claim 5, wherein the safety metrics are calculated by the one or more processors as the inter-vehicle forces exerted on couplers that mechanically connect the vehicles in the different potential builds in the travels that are simulated, the inter-vehicle forces calculated during one or more of tractive power applied at an upper designated power limit or braking effort applied at an upper designated braking limit during the travels that are simulated.

7. The method of claim 1, wherein the consumption metrics are calculated by the one or more processors for the different potential builds of the multi-vehicle system, the consumption metrics representing amounts of one or more of fuel or energy calculated as being consumed by the different potential builds of the multi-vehicle system in the travels that are simulated.

8. The method of claim 7, wherein the consumption metrics are calculated by the one or more processors based on one or more of:

different wind drag forces that are calculated as being exerted on the different potential builds of the multi-vehicle system in the travels that are simulated,

different sizes of the different potential builds of the multi-vehicle system in the travels that are simulated,

different weights of the different potential builds of the multi-vehicle system in the travels that are simulated,

different numbers of propulsion-generating vehicles of the vehicles in the different potential builds of the multi-vehicle system in the travels that are simulated, or

different locations of the propulsion-generating vehicles of the vehicles in the different potential builds of the multi-vehicle system in the travels that are simulated.

9. The method of claim 1, wherein the build metrics are calculated by the one or more processors for the different potential builds of the multi-vehicle system, the build metrics representing amounts of time needed to couple the vehicles together in a vehicle yard according to the different potential builds for the travels that are simulated.

10. The method of claim 9, wherein the build metrics are calculated by the one or more processors from a yard database storing one or more of:

availabilities of propulsion-generating vehicles of the vehicles in the vehicle yard,

locations of the vehicles in the vehicle yard,

availabilities of equipment in the vehicle yard to move the vehicles in yard routes in the vehicle yard to form the different potential builds,

availabilities of different yard routes within the vehicle yard,

scheduled departure times of the vehicles from the vehicle yard, or

scheduled maintenance of one or more of the vehicles in the vehicle yard.

11. The method of claim 1, wherein determining the different potential builds of the multi-vehicle system includes the one or more processors receiving one or more user-selected different potential builds of the multi-vehicle system, and

wherein the one or more processors generate the quantified evaluation by:

presenting, using the one or more processors directing a display device, the quantified evaluation to a user, receiving a user modification of one or more of the user-selected different potential builds,

simulating, using the one or more processors, travels of the one or more user-selected different potential builds that are modified,

calculating, using the one or more processors, one or more safety metrics, consumption metrics, or build metrics for the one or more user-selected different potential builds that are modified, and

generating, using the one or more processors, an updated quantified evaluation of the one or more user-selected different potential builds.

12. A system comprising:

one or more processors configured to identify vehicles to be included in a multi-vehicle system that is to travel along one or more routes for an upcoming trip, the one or more processors also configured to determine plural different potential builds of the multi-vehicle system, the different potential builds representing different sequential orders of the vehicles in the multi-vehicle system,

wherein the one or more processors are configured to calculate one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system based on simulated travels of the different potential builds,

wherein the one or more processors also are configured to generate a quantified evaluation of the one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system for use in selecting a chosen potential build of the different potential builds,

wherein the chosen potential build is used to build the multi-vehicle system for the upcoming trip.

13. The system of claim 12, wherein the different potential builds of the multi-vehicle system differ from each other in that the different potential builds include one or more of:

different numbers of propulsion-generating vehicles of the vehicles in the multi-vehicle system,

different locations of the propulsion-generating vehicles in the multi-vehicle system,

different numbers of non-propulsion-generating vehicles of the vehicles in the multi-vehicle system, or

different locations of the non-propulsion-generating vehicles in the multi-vehicle system.

14. The system of claim 12, wherein the one or more processors are configured to calculate the safety metrics for the different potential builds of the multi-vehicle system, the safety metrics representing inter-vehicle forces that are calculated for the different potential builds in the travels that are simulated.

15. The system of claim 12, wherein the one or more processors are configured to calculate the consumption metrics for the different potential builds of the multi-vehicle system, the consumption metrics representing amounts of one or more of fuel or energy calculated as being consumed by the different potential builds of the multi-vehicle system in the travels that are simulated.

16. The system of claim 12, wherein the one or more processors are configured to calculate the build metrics for the different potential builds of the multi-vehicle system, the build metrics representing amounts of time needed to couple the vehicles together in a vehicle yard according to the different potential builds for the travels that are simulated.

17. A method comprising:

identifying, using one or more processors, vehicles to be included in a multi-vehicle system that is to travel along one or more routes for an upcoming trip;

determining, using the one or more processors, plural different potential builds of the multi-vehicle system, the different potential builds representing different sequential orders of the vehicles in the multi-vehicle system;

calculating, using the one or more processors, one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system based on simulated travel of the different potential builds; and

generating, using the one or more processors, a quantified evaluation of the one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system for use in selecting a chosen potential build of the different potential builds, wherein the chosen potential build is used to build the multi-vehicle system for the upcoming trip.

18. The method of claim 17, wherein the different potential builds of the multi-vehicle system differ from each other in that the different potential builds include one or more of:

different numbers of propulsion-generating vehicles of the vehicles in the multi-vehicle system,

different locations of the propulsion-generating vehicles in the multi-vehicle system,

different numbers of non-propulsion-generating vehicles of the vehicles in the multi-vehicle system, or

different locations of the non-propulsion-generating vehicles in the multi-vehicle system.

19. The method of claim 17, wherein the safety metrics are calculated using the one or more processors for the different potential builds of the multi-vehicle system, the safety metrics representing inter-vehicle forces that are calculated for the different potential builds in the travel that is simulated.

20. The method of claim 17, wherein the consumption metrics are calculated using the one or more processors for the different potential builds of the multi-vehicle system, the consumption metrics representing amounts of one or more of fuel or energy calculated as being consumed by the different potential builds of the multi-vehicle system in the travel that is simulated.

21. The method of claim 17, wherein the build metrics are calculated using the one or more processors for the different potential builds of the multi-vehicle system, the build metrics representing amounts of time needed to couple the vehicles together in a vehicle yard according to the different potential builds for the travel that is simulated.

22. A method comprising:

identifying, using one or more processors, vehicles to be included in a multi-vehicle system that is to travel along one or more routes for an upcoming trip;

determining, using the one or more processors, plural different potential builds of the multi-vehicle system, the different potential builds representing different sequential orders of the vehicles in the multi-vehicle system;

simulating, using the one or more processors, travels of the different potential builds of the multi-vehicle system over the one or more routes of the upcoming trip;

calculating, using the one or more processors, one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system based on travels of the different potential builds that are simulated;

generating, using the one or more processors, a quantified evaluation of the one or more safety metrics, consumption metrics, or build metrics for the different potential builds of the multi-vehicle system; and

presenting, using a display device connected with the one or more processors, the quantified evaluation on a user interface in a decision support mode for use in selecting a chosen potential build of the different potential builds, wherein the chosen potential build is used to build the multi-vehicle system for the upcoming trip.