Patent classifications
B61L25/04
Independent cart system and method of operating the same
A method and system for motion control of movers in an independent cart system is disclosed. In one implementation, the independent cart system includes a plurality of track segments, each section having a respective controller. One of the controllers receives a motion command for a plurality of carts, respectively. The controller generates a force command for each of the plurality of carts and transmits the respective commands to the track segments commutating the plurality of carts.
Method for operating a cableway
In order to simplify the troubleshooting in a cableway during operation of the cableway, a unique car identification is assigned to each car, with the car identification of each car being known by the cableway control system. At least one function monitoring unit transmits malfunctions triggered by cars during the operation of the cableway to the cableway control system in a function status message FSi. The cableway control system assigns a malfunction that was received to the triggering car and the malfunctions together with the car identification of the triggering car are stored and evaluated in the cableway control system.
Method for operating a cableway
In order to simplify the troubleshooting in a cableway during operation of the cableway, a unique car identification is assigned to each car, with the car identification of each car being known by the cableway control system. At least one function monitoring unit transmits malfunctions triggered by cars during the operation of the cableway to the cableway control system in a function status message FSi. The cableway control system assigns a malfunction that was received to the triggering car and the malfunctions together with the car identification of the triggering car are stored and evaluated in the cableway control system.
METHOD AND APPARATUS FOR IDENTIFYING PROPERTIES OF A VEHICLE, COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE MEDIUM FOR STORING AND/OR PROVIDING THE COMPUTER PROGRAM PRODUCT
A method for identifying properties of rail-guided vehicles uses an axle counter to detect vehicle measurement data as the vehicle crosses. The measurement data are analyzed in a computer and speed and distances between vehicle axles are ascertained. A property of the vehicle is ascertained in a computer based on the ascertained speed and distances between axles. A checking step ascertains a pattern of normal distances between axles in that a normal distance between axles calculated by considering a predefined normal speed is assigned to each ascertained distance between axles, and by considering their order, the normal distances between axles merge to form the pattern. The pattern is compared with reference patterns, and upon identified conformity of the pattern and reference pattern, a type linked to the reference pattern is assigned to the vehicle as a property. An apparatus and computer program determining properties of vehicles are also provided.
METHOD AND APPARATUS FOR IDENTIFYING PROPERTIES OF A VEHICLE, COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE MEDIUM FOR STORING AND/OR PROVIDING THE COMPUTER PROGRAM PRODUCT
A method for identifying properties of rail-guided vehicles uses an axle counter to detect vehicle measurement data as the vehicle crosses. The measurement data are analyzed in a computer and speed and distances between vehicle axles are ascertained. A property of the vehicle is ascertained in a computer based on the ascertained speed and distances between axles. A checking step ascertains a pattern of normal distances between axles in that a normal distance between axles calculated by considering a predefined normal speed is assigned to each ascertained distance between axles, and by considering their order, the normal distances between axles merge to form the pattern. The pattern is compared with reference patterns, and upon identified conformity of the pattern and reference pattern, a type linked to the reference pattern is assigned to the vehicle as a property. An apparatus and computer program determining properties of vehicles are also provided.
DEGRADATION ESTIMATION SYSTEM OF RAILROAD GROUND EQUIPMENT AND METHOD THEREOF
A degradation estimation system includes a processing unit simulating an operation mode of equipment on a corresponding railroad section at each set-up timing based on corresponding railroad section timetable information, and processing respective simulation results, and an estimation unit aggregating respective processing results of the processing unit. The processing unit simulates a travel transition of each training existing in the corresponding railroad section timetable information as a dynamic of each train based on corresponding railroad section timetable information and a running curve, simulates a state change of each track circuit based on the simulation result and railroad track information, and simulates an operational change of the equipment on each track circuit. The estimation unit aggregates the simulation result of the processing unit indicating the operational change of the equipment disposed on each track circuit, and estimates the degradation of the equipment from the aggregation result.
Real time machine vision and point-cloud analysis for remote sensing and vehicle control
Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
Real time machine vision and point-cloud analysis for remote sensing and vehicle control
Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
Train information announcement system
A train information announcement system of the present invention includes vehicle radio sets VRS1 and VRS2 which performs wireless communication, and is installed on a train 1 which moves on a railroad track R, wayside radio sets WRS1 to WRS5 arranged along the railroad track R, and an information providing means which provides train information announcements at a station at predetermined timing based on information about a train location obtained by the wireless communication between the vehicle radio sets VRS1 and VRS2 and the wayside radio sets WRS1 to WRS5.
Train information announcement system
A train information announcement system of the present invention includes vehicle radio sets VRS1 and VRS2 which performs wireless communication, and is installed on a train 1 which moves on a railroad track R, wayside radio sets WRS1 to WRS5 arranged along the railroad track R, and an information providing means which provides train information announcements at a station at predetermined timing based on information about a train location obtained by the wireless communication between the vehicle radio sets VRS1 and VRS2 and the wayside radio sets WRS1 to WRS5.