An example remote control locomotive (RCL) system includes a consist having at least one locomotive and at least one pneumatic brake pipe, and an RCL controller. The RCL controller includes a memory configured to store at least one pressurization reference including correspondence relationships between pneumatic brake pipe pressurization time periods and pneumatic brake pipe air volumes, and a processor configured to monitor a time period to pressurize the at least one pneumatic brake pipe of the consist. The processor is also configured to compare the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference, and determine a fault or a number of locomotives in the consist according to the comparison of the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference.

An example remote control locomotive (RCL) system includes a consist having at least one locomotive and at least one pneumatic brake pipe, and an RCL controller. The RCL controller includes a memory configured to store at least one pressurization reference including correspondence relationships between pneumatic brake pipe pressurization time periods and pneumatic brake pipe air volumes, and a processor configured to monitor a time period to pressurize the at least one pneumatic brake pipe of the consist. The processor is also configured to compare the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference, and determine a fault or a number of locomotives in the consist according to the comparison of the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference.

A system and method for automatically communicating an identification signal from a vehicle controller of a vehicle that may include receiving trip data from a dispatch controller based on the identification signal that is communicated. Software of the vehicle controller may be updated at a determined time based on the trip data that is received, and movement of the vehicle may be controlled based on movement allowance signals received by the vehicle controller and used by the software of the vehicle controller during the movement of the vehicle to determine whether the vehicle is permitted to enter into segments of one or more routes.

A locomotive control system includes a locomotive having a traction motor and sensors. The traction motor provides tractive effort for propelling the locomotive and the sensors measure performance conditions of the locomotive. The system also includes a controller having one or more processors communicatively coupled with the traction motor. The controller selects one or more baseline conditions that designate operational conditions under which the locomotive is to operate, and monitors the performance conditions that are generated by the locomotive during operation of the locomotive according to the operational conditions designated by the one or more baseline conditions. The controller identifies a flashover condition or a plugging condition of the locomotive by comparing the performance conditions that are generated by the locomotive during operation of the locomotive with the one or more baseline conditions. The flashover condition or the plugging condition causing degradation of one or more components of the locomotive.

A locomotive control system includes a locomotive having a traction motor and sensors. The traction motor provides tractive effort for propelling the locomotive and the sensors measure performance conditions of the locomotive. The system also includes a controller having one or more processors communicatively coupled with the traction motor. The controller selects one or more baseline conditions that designate operational conditions under which the locomotive is to operate, and monitors the performance conditions that are generated by the locomotive during operation of the locomotive according to the operational conditions designated by the one or more baseline conditions. The controller identifies a flashover condition or a plugging condition of the locomotive by comparing the performance conditions that are generated by the locomotive during operation of the locomotive with the one or more baseline conditions. The flashover condition or the plugging condition causing degradation of one or more components of the locomotive.

The present disclosure provides a state testing method for a rail vehicle, an on-board controller, and a zone controller. The state testing method for a rail vehicle includes: receiving a rail vehicle wake-up instruction; performing an on-board controller self-test to obtain an on-board controller self-test result; receiving a vehicle self-test result; receiving rail vehicle position information; outputting a static test instruction according to the on-board controller self-test result, the vehicle self-test result, and the rail vehicle position information; receiving a static test result; outputting a dynamic test instruction according to the static test result and the rail vehicle position information; receiving a dynamic test result; and outputting dynamic test completion status information according to the dynamic test result, and updating the dynamic test completion status information to a determination as to a dynamic test condition of other rail vehicles adjacent to a rail vehicle in real time through the ZC.

The present disclosure provides a state testing method for a rail vehicle, an on-board controller, and a zone controller. The state testing method for a rail vehicle includes: receiving a rail vehicle wake-up instruction; performing an on-board controller self-test to obtain an on-board controller self-test result; receiving a vehicle self-test result; receiving rail vehicle position information; outputting a static test instruction according to the on-board controller self-test result, the vehicle self-test result, and the rail vehicle position information; receiving a static test result; outputting a dynamic test instruction according to the static test result and the rail vehicle position information; receiving a dynamic test result; and outputting dynamic test completion status information according to the dynamic test result, and updating the dynamic test completion status information to a determination as to a dynamic test condition of other rail vehicles adjacent to a rail vehicle in real time through the ZC.

An improved method for investigating a functional behavior of a component of a technical installation includes comparing a signal of the component to be investigated and representing the functional behavior of the component with a reference signal which describes an average functional behavior of identical components. During the comparison, a comparison variable describing the deviation of the signal from the reference signal is determined. In addition, a probability of the occurrence of the comparison variable is determined by using a predefinable distribution of a multiplicity of such comparative variables. A computer program and a computer readable storage medium are also provided.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.

Systems and methods for improved operations of ski lifts increase skier safety at on-boarding and off-boarding locations by providing an always-on, always-alert system that “watches” these locations, identifies developing problem situations, and initiates mitigation actions. One or more video cameras feed live video to a video processing module. The video processing module feeds resulting sequences of images to an artificial intelligence (AI) engine. The AI engine makes an inference regarding existence of a potential problem situation based on the sequence of images. This inference is fed to an inference processing module, which determines if the inference processing module should send an alert or interact with the lift motor controller to slow or stop the lift.