The present disclosure generally relates to automated detection of railroad track features. Images of a railroad track are captured and analyzed to identify track features such as anchors, spikes, rail ties, tie plates, and joints. Various image processing techniques are utilized to accurately distinguish between track features and other objects in the captured images. Track features identified in the images are assigned identifiers and locations and stored in a database so that a status and/or condition of the track features may be monitored for maintenance purposes.

The invention relates to a method for monitoring the physical state of a longitudinal element (IO) of a railway-type rail, the method having a step of detecting mechanical waves moving along the longitudinal element (IO), in particular due to the passing of a train, by means of an array of mechanical wave sensors placed along and in contact with the longitudinal element, the array having at least one first pair (A) of sensors each positioned at one end of a first portion (IOa) of the longitudinal element (IO), and a step of processing the signals emitted by the sensors in the array of sensors, the processing step having the determination of at least one first interfered signal determined from signals provided by the sensors in the first pair (A) of sensors over a first predetermined period of time.

A system and method for automating railroad maintenance for a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables the automating of an adaptive maintenance process for the asset that is being maintainanced. The system can identify a railroad asset scheduled for maintenance using various forms of inspection including real-time kinematic (RTK)-corrected GPS data, radar signal processing data, and real-time imaging. The system also provides for the acquisition and upload of asset pictures for verification and analysis of a railroad asset. The system can identify a next location to perform maintenance and can calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics. The system further can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset.

A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.

A sensor-enabled geogrid system for and method of monitoring the health, condition, and/or status of rail track infrastructure is disclosed. In some embodiments, the sensor-enabled geogrid system includes a sensor-enabled geogrid that further includes a geogrid holding an arrangement of one or more sensors. The sensor-enabled geogrid system further includes a communication means or network for collecting information and/or data from the sensor enabled geogrid about the health, condition, and/or status of rail track infrastructure. Further, a method of using the presently disclosed sensor-enabled geogrid system for monitoring the health, condition, and/or status of rail track infrastructure is provided.

A system and method for minimizing safety hazards along a railroad track by optimizing visual railroad inspection frequency based on acquired data relating to railroad safety maintenance. The system and method can provide various rating systems for the railroad assets to optimize railroad inspections by focusing the inspections to railroad assets experiencing suboptimal conditions. The ratings of the railroad assets are based on various data collected from physical factors impacting the life of the railroad assets, such as an amount of rainfall, locomotive weight and frequency of passing, and manually detected defects. The system and method can focus the railroad inspection efforts to the railroad assets requiring increased attention in response to the suboptimal conditions. The focused inspections can result in longer lifespan of the railroad assets, efficient inspections, and safer railroads.

A system and method for automating railroad maintenance for a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables the automating of an adaptive maintenance process for the asset that is being maintainanced. The system can identify a railroad asset scheduled for maintenance using various forms of inspection including real-time kinematic (RTK)-corrected GPS data, radar signal processing data, and real-time imaging. The system also provides for the acquisition and upload of asset pictures for verification and analysis of a railroad asset. The system can identify a next location to perform maintenance and can calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics. The system further can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset.

A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.

A track measuring vehicle for recording a track geometry of a track includes a vehicle frame which has rail undercarriages and is mobile on two rails of a track. The vehicle also includes a first measuring base on which are arranged an inertial measuring unit and, for a position determination relative to each rail, at least one contact-less position measuring device. A lowerable second measuring base has measuring running wheels designed to be set upon the rails and is connected to the first measuring base via compensation measuring devices.

A railroad infrastructure communication network is presented. The network can include a plurality of infrastructure nodes distributed proximate a railroad track, such as near railroad equipment and/or assets. Infrastructure nodes can be configured to receive data from equipment sensor and/or assets and transmit such data via the network. Infrastructure nodes can further generate alert and/or alert packets based on such received data. Infrastructure nodes can self-define in a network infrastructure depending on configured connection types, and can for example, serve as repeater nodes (to promulgate a transmission to additional infrastructure nodes) and/or collector nodes (to collect data for a centralized server node). A server node can be configured to receive data and/or packet from infrastructure nodes and generate requests for additional systems, personnel, etc. to address such requests. The network can limit the data transmission size and leverage distributed processing capabilities to enable transmissions over long ranges, such as by reducing the bandwidth required to transmit packets.