Methods and systems for aggregating and leveraging location-based data generated by train recorder devices

A non-transitory computer-readable medium configured to store instructions, that when executed by a computing system comprising one or more processors, causes the computing system to perform operations comprising:

• obtaining a railroad map that represents a network of railroad tracks;
• receiving location data from a Global Navigation Satellite System (GNSS) receiver and motion data from an inertial measurement unit (IMU) as a train travels a route on one or more railroad tracks of the network of railroad tracks;
• monitoring a position of the train along the one or more railroad tracks based on the railroad map and location data;
• generating condition-monitoring data that associates the motion data comprising vibration or acceleration data indicative of track integrity with specific locations along the one or more railroad tracks to create a detailed profile of track health and performance for predictive maintenance;
• and
• storing the condition-monitoring data in memory.

A method comprising:

• aggregating location-based data from a plurality of computing devices coupled to a plurality of trains,
• wherein each computing device includes a Global Navigation Satellite System (GNSS) receiver configured to provide location data and an inertial measurement unit (IMU) configured to provide motion data comprising vibration or acceleration data indicative of track integrity,
• wherein a first computing device is attached to a first train and provides first condition-monitoring data based on first location data and first motion data obtained as the first train travels a first route on one or more railroad tracks of a network of railroad tracks and a second computing device is attached to a second train and provides second condition-monitoring data based on second location data and second motion data obtained as the second train travels a second route on one or more railroad tracks of the network of railroad tracks, and
• wherein the first condition-monitoring data associates the first motion data with specific locations along the one or more railroad tracks and the second condition-monitoring data associates the second motion data with specific locations along the one or more railroad tracks;
• and
• mapping the first condition-monitoring data and the second condition-monitoring data to the network of railroad tracks to create a detailed profile of track health and performance for predictive maintenance.