A method, device, and system for detecting a current leak in a traction power rail. Magnetic or electrical properties of the rail are measured. The measurements are performed using a rail instrument that senses the properties around the rail at various times while the instrument is being moved down the rail, such as using a cart or train. The rail instrument may be a flux concentrator or open Rogowski coil. The locations of the rail, about which the readings are taken by the rail instrument, may be determined and correlated with the measurements themselves. The method may comprise measuring the magnetic field of the rail along a length of the rail, and identifying a leak based on differences between the magnetic field measurements. The system may comprise a cart comprising the rail instrument and a location instrument.

A method, device, and system for detecting a current leak in a traction power rail. Magnetic or electrical properties of the rail are measured. The measurements are performed using a rail instrument that senses the properties around the rail at various times while the instrument is being moved down the rail, such as using a cart or train. The rail instrument may be a flux concentrator or open Rogowski coil. The locations of the rail, about which the readings are taken by the rail instrument, may be determined and correlated with the measurements themselves. The method may comprise measuring the magnetic field of the rail along a length of the rail, and identifying a leak based on differences between the magnetic field measurements. The system may comprise a cart comprising the rail instrument and a location instrument.

A system for modeling risk of rail buckling in railroad infrastructure is presented. The system can receive a myriad of data related to railroad tracks and/or railroad operations, and weight the data using specially-designed weighting factors that can be unique to each data type. The weighted data can be transformed via specialized algorithms to generate location scores reflective of a risk isolated to a particular area. The system can further utilize additional specialized algorithms to elucidate how such isolated risk can be extrapolated from one location to another. The system can implement a multilayer approach, formulating one or more layers of risk models and aggregating such models into an overarching risk model that can more-accurately forecast risk of rail buckling in a railroad track.

A system for railroad directive management is presented. The system can receive a myriad of data related to a directive, track segments, and/or vehicle events on the track and/or track segments. Vehicle- and/or event-specific data can be compared with one or more thresholds, including force thresholds, temporal thresholds, environmental thresholds, and/or event thresholds to determine whether and what kind of directive modification should be instantiated. Specialized algorithms can be implemented to trace vehicle paths along the track to determine whether directive-related segments are traversed, and specialized clustering algorithms can be utilized to cluster data unique to a particular segment on a per-segment basis. The system can be integrated with existing track infrastructure and can further generate alerts to notify coupled systems and/or personnel of directives and/or modification thereof.

The Automated Wayside Asset Monitoring system utilizes a camera-based optical imaging device and an image database to provide intelligence, surveillance and reconnaissance of environmental geographical information pertaining to railway transportation. Various components of the Automated Wayside Asset Monitoring system can provide features and functions that can facilitate the operation and improve the safety of transportation via a railway vehicle.

The Automated Wayside Asset Monitoring system utilizes a camera-based optical imaging device and an image database to provide intelligence, surveillance and reconnaissance of environmental geographical information pertaining to railway transportation. Various components of the Automated Wayside Asset Monitoring system can provide features and functions that can facilitate the operation and improve the safety of transportation via a railway vehicle.

The present invention provides a method for determining an element characteristic of at least one railroad element, comprising the steps of: providing a motion sensor (2) on the at least one railroad element (6); collecting motion data provided by the motion sensor (2), wherein the motion data is representing a motion characteristic of the railroad element (6) different from the element characteristic; determining the element characteristic on the basis of the motion data.

The present invention provides a method for determining an element characteristic of at least one railroad element, comprising the steps of: providing a motion sensor (2) on the at least one railroad element (6); collecting motion data provided by the motion sensor (2), wherein the motion data is representing a motion characteristic of the railroad element (6) different from the element characteristic; determining the element characteristic on the basis of the motion data.

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.

This disclosure relates to a system and method for recommending intelligent railway network access plans and modified access plans based on current status of execution of tasks and train timetables. Herein, the system and method need to consider multiple variables including train timetable changes, activity efficiencies etc. to derive an overall optimum access management solution for the railway network. They can interface with existing operational timetables and cost management systems. It is to be noted that the disclosure herein uses existing data sets for operations and cost data. The cost data is manipulated to identify fixed and variable costs and variability of variable costs with access duration and activity bundling. A trade-off between cost and value is considered which results in a longer continuous time window being available for maintenance, less visits to same location to complete a maintenance task, less time spent in setup/unwind activities and higher labour utilization.