A state-monitoring device includes: a state estimating unit to estimate a state of an instrument using operation information of a train on which the instrument is mounted; an instrument arrangement storing unit to store instrument arrangement information indicating arrangement of the instrument in the train; and a work plan output unit to extract the instrument to be maintained that requires inspection or component replacement on the basis of a state estimation value of the instrument, and output information regarding maintenance work in which the instrument to be maintained and the instrument arrangement information are associated with each other.

A railway vehicle charging control method includes the following steps: receiving vehicle information of the railway vehicle and a charging request transmitted by a signal system; establishing wireless communication connection with a vehicle control unit of the railway vehicle according to the vehicle information of the railway vehicle; determining a pantograph charger corresponding to the railway vehicle; controlling the pantograph charger corresponding to the railway vehicle to descend; and controlling, according to the charging request, to start charging the railway vehicle. The method is combined with the signal system of the railway vehicle, establishes communication connection with the corresponding railway vehicle according to the charging request and the vehicle information of the railway vehicle transmitted by the signal system, and controls the pantograph charger corresponding to the railway vehicle to descend, to charge the railway vehicle.

A method for logging an item of information relating to a rail vehicle, includes recording a speech input having the item of information, by a user of the rail vehicle and saving the recorded speech input as an audio file. The saved audio file is sent via a wireless communications network to a subscriber, remote from the rail vehicle, of the communications network. A device logs the subscriber, remote from a rail vehicle, of the communications network.

A vehicle control system includes a controller that detects a communication loss between a first vehicle and a second vehicle and/or a monitoring device in a vehicle system. The controller operationally restricts movement of the vehicle system based on the communication loss. The controller obtains or generates a transitional plan that designates operational settings for the first vehicle and/or the second vehicle based at least in part on a location of the first vehicle and/or the second vehicle. The controller selectively changes movement of the first vehicle and/or the second vehicle via the transitional plan to reduce a speed of the first vehicle and/or the second vehicle responsive to the communication loss being detected.

A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.

A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.

An operation status reproducing device includes an onboard information obtaining unit that obtains onboard information corresponding to date and time from an onboard device mounted on a designated train being a train specified by a train number and the date and time externally designated, a specific event detecting unit that specifies time at which a specific event occurs by analyzing the onboard information, a ground information obtaining unit that obtains ground information in a certain period including the time at which the specific event occurs from a ground device, an external information obtaining unit that obtains external information including weather information in a certain period including the time at which the specific event occurs, and a reproduction image generating unit that generates a reproduction image illustrating a past operation status of the designated train based on the onboard information, the ground information, and the external information.

A system and method for monitoring failure of a train within a tunnel is disclosed. The method comprises receiving, by the central server, an estimated crossing time for the train to cross the tunnel and the latest location of the train from a telemetry system onboard the train. The telemetry system comprises a Head-of-Train device communicatively coupled to an End-of-Train device. The method further comprises detecting a failure event associated with the train, by the central server, if an attempt to establish communication with the telemetry system is unsuccessful after the estimated crossing time. The method further comprises broadcasting, by the central server, an emergency alert message indicating the failure event to one or more receiving devices based on the latest location of the train. The receiving device is associated with at least one of an operator control station and an adjacent train.

The present invention relates to a method and system using multiple data sources for unsupervised and/or semi supervised algorithms to derive features such as speed of the train, length of the train, type of wagons, etc. Thus, classifying train categories. The invention provides a method and a system configured for analysing railway related vibration data. The invention is configured for collecting at least a first dataset from a sensor applied to the railway infrastructure. Further, it is configured for collecting at least a second dataset from a scheduling component. The at least one subset of the first dataset is curated with the second dataset to obtain first training database. The invention further discloses a method comprising the step of predicting at least a likelihood of one train belonging to at least one train-type.

The present invention relates to a method and system using multiple data sources for unsupervised and/or semi supervised algorithms to derive features such as speed of the train, length of the train, type of wagons, etc. Thus, classifying train categories. The invention provides a method and a system configured for analysing railway related vibration data. The invention is configured for collecting at least a first dataset from a sensor applied to the railway infrastructure. Further, it is configured for collecting at least a second dataset from a scheduling component. The at least one subset of the first dataset is curated with the second dataset to obtain first training database. The invention further discloses a method comprising the step of predicting at least a likelihood of one train belonging to at least one train-type.