Patent classifications
B61L27/57
Measurement Method, Measurement Device, Measurement System, And Measurement Program
A measurement method includes: generating first measurement data based on observation data of an observation point of a structure; generating second measurement data by performing filter processing on the first measurement data; calculating a first deflection amount of the structure; calculating a second deflection amount by performing filter processing on the first deflection amount; approximating the second measurement data with a linear function of the second deflection amount to calculate a first-order coefficient and a zero-order coefficient; calculating a third deflection amount based on the first-order coefficient, the zero-order coefficient, and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; and calculating a static response by adding the offset and a product of the first-order coefficient and the first deflection amount.
VEHICLE SYSTEM AND METHOD
In one example, a wayside device monitoring system is provided. The system may include a wayside device and a controller. The wayside device may detect one or more operating parameters of a vehicle in a vehicle system moving over a route segment. The controller can receive information from the wayside device regarding at least the one or more operating parameters detected, and can control movement the vehicle directly or indirectly based at least in part on the received information.
Planning of maintenance of railway
The present invention relates to a method for automatically planning maintenance in railway, the method comprising the steps of determining maintenance for different assets at different locations comprising determining at least one of a predicted technical condition of an asset and automatically optimizing the planning accordingly. Further, a railway planning system for automatically planning maintenance comprising a determining component for determining maintenance for different assets at different locations comprising a determining component for determining at least one of a predicted technical condition of an asset and an optimization component for automatically optimizing the planning accordingly.
Planning of maintenance of railway
The present invention relates to a method for automatically planning maintenance in railway, the method comprising the steps of determining maintenance for different assets at different locations comprising determining at least one of a predicted technical condition of an asset and automatically optimizing the planning accordingly. Further, a railway planning system for automatically planning maintenance comprising a determining component for determining maintenance for different assets at different locations comprising a determining component for determining at least one of a predicted technical condition of an asset and an optimization component for automatically optimizing the planning accordingly.
Systems and methods for improved operations of ski lifts
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
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.
Automated positive train control event data extraction and analysis engine and method therefor
A system and method for automating workflow and performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data characterizing the enforcement event, as well as analyze the data to evaluate what is the root cause of the enforcement event. The system can extract critical information from train system logs of the train using an extraction model to generate a window of activity providing an analysis model with a comprehensive scope to analyze the enforcement event. The system can give the user robust and accurate information of the root cause of the enforcement event.
Image-Based Vehicle Evaluation for Non-compliant Elements
A solution for evaluating passing vehicles can include one or more imaging devices and a computing unit for processing image data acquired by the imaging device(s). The imaging devices can acquire image data that enables the computing unit to accurately identify a location of an element of the vehicle in an area that includes a region in which the passing vehicle is located and a restricted region in which no element or portion of an element of the passing vehicle should be unnecessarily located. The computing unit can classify any element at least partially located within the restricted region and initiate an action when such an element is not classified into a category of elements that is necessary to be located within the restricted region.
Rail system and method for operating a rail system having a rail-guided mobile part and having a central control system
In a rail system and method for operating a rail system having a rail-guided mobile part and having a central control system, the mobile part includes a device for acquiring the position of the mobile part, the mobile part has a first drive, in particular a traction drive, the mobile part has a current acquisition device, the mobile part has a processor for evaluating the current-value profile acquired between a first position and a second position, the processor as a device for evaluating the current-value profile is configured such that the processor determines as an evaluation value tuples which include at least an item of position information and a value determined from the current-value profile, the processor is connected with the aid of a data transmission channel to the central control system for the transmission of the value tuples, the central control system is adapted to monitor the value tuples and monitors the respective value determined from the individual current profile for an exceeding of a permissible measure of a deviation from a predefined value, in particular a setpoint value.
Device to Capture High Resolution Images of the Underside of a Freight Car Traveling at Full Speed
A plurality of cameras is secured to railroad ties to take high resolution images of the underside of a train car as it passes over this plurality of cameras. These images are important to insure the structural integrity of the parts of the rail car as well as the connection means—a coupler and pin—between two rail cars. The shutter speed of the cameras is determined by the speed of the train as it passes over the cameras. As the images are taken, the images can be downloaded and sent to a remote location for further analysis.