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 and method for inspecting a railway track using sensors oriented at an oblique angle relative to a rail vehicle on which the system is traveling. The orientation of the sensors allows for different data to be gathered regarding a particular rail including rail design specifications (gathered based on manufacturer markings detected and analyzed by the system), rail seat abrasion values based on direct measurement of rails from the oblique angle, and other analysis of rail features including joint bars, rail welds, bond wires, rail holes, and broken rails. The use of an air blower, ducts, and one or more air distribution lids over the sensors helps remove debris from blocking the sensors and structured light generators.

A rail vehicle has a vehicle frame which, supported on on-track undercarriages, is mobile on the rails of a track. The rail vehicle includes a first measuring platform with a first inertial measuring system for recording a track course. A second measuring platform is arranged on the rail vehicle, with a second inertial measuring system and at least one sensor device for recording surface points of a track section. The second measuring platform and the second inertial measuring system enable the movement of the sensor device in the three-dimensional space to be recorded in a simple manner.

An on-board thermal track misalignment detection system method therefor is presented. The system can use on-board locomotive sensors attached to an end-of-train device to detect (on the edge), signs and symptoms of thermal misalignments of the track. Once detected an alert can be transmitted to prevent potential derailments. The system can also include a forward-facing and rearward-facing imaging sensors (e.g., camera, LiDAR sensor, etc). The system can wirelessly communicate (e.g., via radio) with a leading locomotive to ensure proper air pressure and location. The system can be powered by an on-board battery and/or air pressure device. Advantageously, the system can calculate whether any rail deviation is significant (e.g., via one or more threshold values). The system can also leverage image processing functionality, executed by one or more processors) to find the centerline and the distance between the tracks.

In one embodiment, a method includes capturing, by a machine vision device, an image of an object in a railway environment. The machine vision device is attached to a first train car that is moving in a first direction along a first railroad track of the railway environment. The method also includes analyzing, by the machine vision device, the image of the object using one or more machine vision algorithms to determine a value associated with the object. The method further includes determining, by the machine vision device, that the value associated with the object indicates a potential deficiency of the object and communicating, by the machine vision device, an alert to a component external to the first train car. The alert comprises an indication of the potential deficiency of the object.

This application relates to an overload and unbalanced load detecting system for a railway and a detecting method. This system includes at least one steel rail. A rail web of each steel rail is provided with two sampling points at two sides between every two adjacent rail sleepers, respectively, and the two sampling points on one side are symmetrically disposed about the steel rail with respect to the two sampling points on the other side. A fiber-optic sensitive element used for continuously measuring a load when a train passes through the two sampling points is obliquely fixed at each sampling point, and two fiber-optic sensitive elements on the same side of each steel rail are disposed at an angle of 90 with each other.

A track recording vehicle for detecting the resilience of a rail track has a machine frame supported on two rail-mounted undercarriages. A first measuring system detects a vertical distance of the rail track under load and a second measuring system detects a vertical distance of the rail track under no load or with reduced load. The first measuring system is coupled to an evaluation device for calculating the course of a first vertical sine and the second measuring system determines a course of a second vertical sine, relative to a common reference base defined by two outer measuring points under load, at an interposed central measuring point without or with reduced load. The evaluation device calculates a subsidence of the rail track under load from the two vertical sines. The track recording vehicle detects a subsidence of the rail track under load in a single measuring run.

A system and method for inspecting a railway track using sensors oriented at an oblique angle relative to a rail vehicle on which the system is traveling. The orientation of the sensors allows for different data to be gathered regarding a particular rail including rail design specifications (gathered based on manufacturer markings detected and analyzed by the system), rail seat abrasion values based on direct measurement of rails from the oblique angle, and other analysis of rail features including joint bars, rail welds, bond wires, rail holes, and broken rails. The use of an air blower, ducts, and one or more air distribution lids over the sensors helps remove debris from blocking the sensors and structured light generators.

A system and method for adjusting light emitter output for a railway track inspection system based on data feedback from one or more devices.

In one embodiment, a method includes identifying, by an image detection tool, a tank within an image of a railway environment and identifying, by the image detection tool, a railroad track within the image of the railway environment. The method also includes determining, by the image detection tool, a distance between the tank and the railroad track and comparing, by the image detection tool, the distance between the tank and the railroad track to a predetermined threshold distance. The method further includes determining, by the image detection tool, that the tank presents a hazard to the railway environment in response to comparing the distance between the tank and the railroad track to the predetermined threshold distance.