A computing system may receive first and second linear network railway track measurement data collected during a first track measurement campaign and a second track measurement campaign. The first linear and second network railway track measurement data includes first and second data respectively corresponding to a shape and condition of a geographical segment of track. The computing system may geographically align the first and second linear network railway track measurement data collected during the first and second measurement campaigns using the first and second data corresponding to the shape and condition of the geographical segment of track collected in the first and second measurement campaigns to thereby generate first aligned data.

The present invention relates to conditions monitoring of structures forming part of a transport network, e.g. structural health monitoring of structures, especially tunnels by performing distributed acoustic sensing (DAS) on at least one optical fiber (104) deployed so as to monitor the structure (206) and detecting and analyzing the acoustic response to movement of traffic (205) on the network in the vicinity of the structure to detect the acoustic response (303, 304) of the structure. The acoustic response of the structure is then analyzed to detect any change in condition.

Predicting operational changes in a multi-detector environment includes generating, via a computer processing device, a factor matrix for each univariate time series data in a set of sparse time series data collected from data sources, identifying a subset of the time series data as a feature selection based on application of a loss function, and generating a predictive model from the subset of the time series data.

The present disclosure discloses a rail corrugation recognition method and apparatus based on a support vector machine, a device, and a medium. The method includes: obtaining wheel-rail noise signals in different time periods, and obtaining wheel-rail noise time domain information; dividing the wheel-rail noise time domain information into segmented wheel-rail noise time domain information corresponding to each of the different time periods; preprocessing each piece of segmented wheel-rail noise time domain information, and extracting a time domain statistical characteristic quantity and frequency domain eigenmode energy of each piece of segmented wheel-rail noise time domain information, to obtain a multi-dimensional wheel-rail noise characteristic vector; constructing a rail corrugation state recognition model based on a support vector machine, and training the rail corrugation state recognition model; and recognizing to-be-recognized wheel-rail noise data by using the rail corrugation state recognition model based on a support vector machine, to obtain a rail corrugation state.

A device 10 for a track bound monitoring system for monitoring conditions on a railway track 28 comprising a first rail 26 and a second rail 30 comprises a signal generation unit 12 having an output 13. The signal generation unit is configured to generate an electrical monitoring signal having a monitoring signal characteristic. The output is connectable to at least one of the first rail and the second rail. A sensing unit 16 has an input 17 which is connectable to at least one of the rails. A controller 20 is connected to the generation unit and the sensing unit and is configured to cause the generation unit to generate the monitoring signal which propagates in the first rail and to receive from the sensing unit a return signal. The return signal is derived from the monitoring signal and has a return signal characteristic. The controller is configured to utilize a time difference between the monitoring signal characteristic and the return signal characteristic to monitor conditions on the railway track.

A track maintenance machine, with a sensor for identifying an A-point of a chord, having a frame, axles, and wheels operatively connected to the axles and configured to support the machine on a track. A workhead is arranged between the axles. A B-point is placed at the workhead at a predetermined height above the track, and a C-point placed at a rear end of the at a predetermined height above the track. A sensor is arranged at a forward end of the frame at a predetermined height above the track. The sensor scans forward of the machine to identify an A-point; acquire track data for the A-point; and transmit the data to a machine control system. The machine control system is configured to calculate a chord by combining the track data for the A-point with the C-point to calculate operation data for the workhead at the B-point.

Methods and systems for detecting and measuring physical conditions of a railroad track based on image-based distance measurements are provided. In embodiments, at least one object associated with a condition of a railroad track is detected in at least one image. A first point and a second point on the at least one object is detected. A pixel distance between the first point and the second point is measured, and a physical distance-based measurement of the condition of the railroad track is determined, using a conversion model, based on the pixel distance between the first point and the second point. An alert is generated when the physical distance-based measurement of the condition of the railroad track exceeds a predetermined threshold.

Assemblies, systems, and methods for inspecting vehicles are disclosed. An assembly can comprise a first angled camera, a second angled camera, an upright camera, lights, and a housing configured to attach to a railway between opposing rails. The first angled camera can be oriented at least partially in a vertical direction and at least partially in a first horizontal direction, and directed to a first target region from a first viewpoint. The second angled camera can be oriented at least partially in the vertical direction and at least partially in a second horizontal direction that is substantially opposite the first horizontal direction, and directed to a second target region from a second viewpoint. The upright camera can be oriented substantially in a vertical direction, and configured to capture images of a third target region from a third viewpoint.

Railcar inspection systems, methods, and apparatuses are disclosed, including a railcar inspection portal. The railcar inspection portal includes a physical structure positioned around a railroad track, and through which a railcar can travel. The railcar inspection portal can include wheel detection sensors along the railroad track for detecting the presence of a railcar passing over the sensors. The sensors can transmit signals, corresponding to railcars passing over the sensors, to computing devices for determining railcar speeds. The railcar inspection portal can include imaging devices configured to capture images and readings of railcars passing through the inspection portal. Based on a determined speed corresponding to a passing railcar, the computing devices can control the imaging devices to capture specific areas or components of the passing railcar, or individual cars thereon. The computing devices can process the captured images to detect defects corresponding to the passing railcar, or individual cars thereon.

A method and a measuring system for determining the surface condition on a rail head along a laid railway track formed by rails uses a measuring carriage and a measuring unit with at least a first measuring arrangement. The first measuring arrangement includes a measurement base carrier, a guide arrangement, and at least one first sensor located on the measurement base carrier. The measurement base carrier is guided in a movable manner relative to the carriage frame by the guide arrangement in a normal alignment with respect to a rail plane defined by one of the respective rails. Furthermore, the measurement base carrier including the at least one first sensor is mechanically supported on at least one of the rails by a supporting device during displacement of the measuring carriage, and is thus constantly guided at a predetermined, fixed distance above the rail.