Rail profiles, track geometry, forward-facing video, LiDAR imagery, drone inspection—you name it. As sensors and formats proliferate, the continuous pileup of data can quickly become overwhelming. It also leaves a risk that the most important information will slip through, unnoticed.

Our process begins with this wide variety of data formats and organizes them into a single data architecture.  In essence, this allows various data types to “talk” to each other, rather than being assessed individually.

As part of the uploading process, plugin workflows automatically cleanse and sort data, label attributes, and detect changes. Custom data formats can be handled with customized plugins that allow specialized data to integrate with the rest of the system.

These workflows can be “mixed and matched” based on your particular business needs or goals. For example, a plugin could be added to deal with particularly bad data or integrate weather-related information from an additional sensor.

After the new data is fully processed, high-power analytics compare historical trends and visualize trendlines to identify the most urgent areas for maintenance.

Once these areas are identified, the RailLinks Workspace brings together the various data streams—current and historical track geometry measurements, rail profiles, imagery, and a satellite map view—into a single dashboard, giving maintainers a synchronized snapshot of any given point on the track.