Detailed train makeup from wayside weighing in motion system
AssigneeTransportation IP Holdings, LLC
InventorsDaniel Tuttle Spencer, Adam Hausmann
Life of this patent
Estimating the term…
Abstract
Methods and systems for evaluating detailed vehicle makeup (DVM) data associated with a vehicle system. A vehicle management server compares observed imaging data received from one or more wayside devices to the detailed vehicle makeup data. If the vehicle management server determines that the accuracy of the DVM data fails to meet an accuracy threshold associated with an expect value, it may notify a client and request new DVM data. The vehicle management server can generate new DVM data and request an updated drive profile associated with the new DVM data.
Claims20
A system, comprising:
- a sensor configured to capture vehicle imaging data indicative of a vehicle parameter for a plurality of vehicles;
- a control circuit for communicating with the sensor, wherein the control circuit is configured to:
- receive detailed vehicle makeup (DVM) data associated with the plurality of vehicles;
- receive the vehicle imaging data from the sensor;
- determine an expected vehicle parameter for at least one of the plurality of vehicles based on the vehicle imaging data and a vehicle parameter model;
- compare the expected vehicle parameter to the DVM data for a corresponding vehicle;
- and
- determine an accuracy of the vehicle parameter in the DVM data based on the comparison of the expected vehicle parameter to the DVM data.
A method comprising:
- receiving detailed vehicle makeup (DVM) data, wherein the DVM data comprises vehicle load data for a plurality of vehicles;
- receiving vehicle imaging data from a wayside device, wherein the wayside device is configured to capture the vehicle load data for the plurality of vehicles;
- determining an expected vehicle load for the plurality of vehicles based on the vehicle imaging data and a vehicle parameter model;
- and
- determining an accuracy of the vehicle load data in the DVM data based on a comparison to the expected vehicle load.
A method comprising:
- receiving detailed vehicle makeup (DVM) data, wherein the DVM data comprises a vehicle weight for a plurality of vehicles;
- receiving surface deflection data from a wayside device, wherein the wayside device is configured to capture the surface deflection data indicative of the vehicle weight;
- determining an expected vehicle weight for the plurality of vehicles based on the surface deflection data and a surface deflection model;
- and
- determining an accuracy metric of the vehicle weight in the DVM data for the plurality of vehicles based on the expected vehicle weight and a statistical threshold of the vehicle weight in the DVM data.
Dependencies are inferred from the claim text.