400results about "Vehicle route interaction devices" patented technology

The invention discloses an information acquisition and transmission system of track control equipment, which relates to the technical field of track traffic intelligent monitoring and comprises an intelligent sensing terminal, an edge intelligent analysis node, a safety communication module, a central control platform, a digital twin diagnosis center and a predictive maintenance engine. According to the invention, the intelligent sensing terminal integrates various sensors, adopts a permalloy shielding cavity to isolate external electromagnetic interference, is equipped with a three-stage lightning protection circuit to realize microsecond-stage lightning surge protection, can stably collect parameters of track control equipment in a severe environment, is internally provided with a lightweight LSTM model, carries out preliminary filtering analysis on original data, and is used for monitoring the parameters of the track control equipment. The device operation state can be dynamically identified, the sampling strategy can be adjusted, the basic sampling frequency is maintained in the stable state to reduce power consumption, the sampling frequency is improved by 10 times and the sensor gain is enhanced in the early warning or emergency state, all analysis decisions are completed at the local millisecond level without depending on the cloud, and the real-time performance and accuracy of data processing are effectively improved.

The invention discloses a railway axle counting equipment management system which comprises a hyper-fusion sensing terminal, an edge intelligent diagnosis unit, a digital twin management platform, a block chain evidence storage subsystem and an intelligent interaction terminal. The super-fusion sensing terminal is integrated with an orthogonal magnetic head array, a vibration sensor, a temperature and humidity sensor, a tilt angle sensor, a laser ranging module, a current sensor and a dust concentration sensor; the edge intelligent diagnosis unit is internally provided with a lightweight neural network and a fault feature knowledge graph; the digital twinborn management platform can construct a three-dimensional digital twinborn body of axle counting equipment, and integrates a multi-physics field coupling simulation module; the block chain evidence storage subsystem can perform uplink evidence storage on the fault original signal and the maintenance work order record; the intelligent interaction terminal comprises a three-dimensional visual interface and a mobile operation and maintenance App. The intelligent level of railway axle counting equipment management can be effectively improved, railway transportation safety and operation efficiency are enhanced, and the method is suitable for various scenes such as high-speed railways and urban rail transit.

The invention discloses a track circuit signal anomaly detection method and device. The method comprises the following steps: periodically collecting original waveform array data of a track circuit signal; acquiring time domain index data and frequency domain index data corresponding to the acquisition time based on the original waveform array data of the track circuit signal acquired at each acquisition time; restoring the track circuit signal according to the time domain index data and the frequency domain index data corresponding to the plurality of acquisition moments; and determining whether abnormity exists or not according to the restored track circuit signal. According to the scheme, early warning can be carried out in the early stage of track circuit signal abnormity, troubleshooting and solving are carried out in the early stage, and therefore train operation safety and operation efficiency are improved.

The invention relates to the technical field of rail transit monitoring, in particular to an axle counting technology-based section occupancy state monitoring system, which comprises an axle counting sensing array, an axle analysis unit, a section state deduction module and a remote operation and maintenance management platform, the axle counting sensing array obtains axle passing data through the array type axle counting sensor, and the axle passing data is processed by the edge computing node and then transmitted to the trackside processing terminal; the axle analysis unit extracts axle time sequence data, performs characteristic parameter calculation and bidirectional occupation logic discrimination, and generates a section state characteristic matrix; the section state deduction module constructs a prediction model by using a deep neural network based on the feature matrix, and performs real-time deduction and abnormal early warning on the section occupancy state; the remote operation and maintenance management platform interacts with trackside equipment in a bidirectional mode through a special communication protocol, and equipment parameter remote configuration, operation state on-line monitoring and early warning information grading processing are carried out. Therefore, the problems of insufficient monitoring precision, poor adaptability, low intelligent level and the like in the prior art are solved.

The invention relates to a method for identifying the characteristics of a rail vehicle (FZ), in which an axle counter (AZ1 ... AZ2) records measurement data during the passage of the rail vehicle (FZ). The measurement data is analyzed by a computer to determine the axle spacing of the rail vehicle (FZ). Based on the determined axle spacing, a first characteristic is determined by the computer, namely whether the rail vehicle (FZ) is a passenger train or a freight train. In a first test step, the determination of this first characteristic is checked to see if identical or similar patterns can be found in at least a predominant part of the sequence of axle spacings. If no pattern can be found, the rail vehicle (FZ) is assigned the characteristic of a freight train as its first attribute.Once a pattern has been identified, the railway vehicle (FZ) is assigned the characteristic of a passenger train as its first property, and / or a further test step is carried out to validate or extend the test result. This process can be supported by machine learning. Furthermore, the invention comprises a device for determining the properties of railway vehicles (FZ), a computer program, and a delivery device.

The invention relates to a rail train wheel polygon detection system and a control method thereof, the system comprises a graphene optical fiber sensor array module, a data acquisition module, a data processing module and a wheel polygon order display module, the graphene optical fiber sensor array module is arranged at the bottom of a steel rail; the sensor is used for sensing rail pressure change of a steel rail and generating optical signals; the data acquisition module is used for acquiring an optical signal output by the graphene optical fiber sensor array module and converting the optical signal into an electric signal; the data processing module is used for analyzing the electric signal through a signal processing algorithm and deducing to obtain a wheel polygon order; and the wheel polygon order display module is used for receiving the wheel polygon order from the data processing module and carrying out visualization processing on the wheel polygon order. Compared with the prior art, the method can achieve the high-precision measurement of the polygon order of the wheel, improves the precision of a measurement system, gives an alarm when the order is abnormal, and guarantees the operation safety of a train.

The invention discloses a method and system for distributing directions for a single transponder group based on satellite positioning, and the method comprises the steps: judging whether the satellite positioning is effective or not when a train arrives at a single transponder group, and calculating the current running direction of the train through the satellite positioning if the satellite positioning is effective; according to the current running direction of the train and a first binding relation, the direction of the single transponder group is distributed, and the first binding relation is stored in an electronic map of train control on-board equipment and used for representing the relation between the direction of the single transponder group and the running direction of the train. The arrangement number of the ground transponders can be reduced, and the system cost is saved; directions can be distributed for the single transponder group when link information is not used; the system adaptability with the existing train control system is high; the situation that satellite positioning is invalid is considered, and the stability and applicability of the system are improved.

The invention relates to the technical field of track traffic, in particular to an intelligent track circuit section state monitoring and alarming system which comprises a multi-type sensor module, a data processing module, a dynamic monitoring module and a grading alarming module. Wherein the multi-type sensor module is deployed at a key node of a track circuit section and is used for acquiring track occupation state, electrical parameters and equipment temperature data; the data processing module is used for transmitting the acquired data to a deep forest model for training and tuning, and outputting a health state evaluation result of the track circuit; the dynamic monitoring module generates a visual map based on a state evaluation result, distinguishes track sections in different health states through color coding, and displays an electrical parameter over-limit value and a temperature abnormal position in real time; and the grading alarm module triggers a differential alarm mechanism according to the health state grade. Therefore, the problems of interlocking failure caused by poor shunt, limited monitoring means, difficulty in meeting efficient and safe operation requirements and the like in the prior art are solved.

The invention provides a backup signal system and a train operation control method, and the system comprises a grating vibration sensor which is used for collecting a vibration signal generated when a train passes; the grating axle counting equipment is used for detecting position information and speed information of the whole train based on the vibration signal; the interlocking equipment is used for sending the signal machine state information and the position information and the speed information of the front train to the backup vehicle-mounted processing equipment when the train is degraded due to the fault reason; the backup vehicle-mounted processing equipment is used for calculating the position of a train safety protection point according to the signal machine state information and the position information and the speed information of the front train; and generating a safety speed protection curve based on the position of the train safety protection point and the route road condition information in a preset electronic map. According to the backup signal system based on the grating axle counting, accurate positioning of the train is achieved, a safety speed protection curve is generated, train tracking safety and speed curve supervision protection are achieved, and running safety and efficiency of the whole train are guaranteed.

The present invention relates to a method for detection of foreign material on a railroad track segment comprising: - determining a reference current value of a transmitted and / or received current corresponding to an unoccupied state of said segment; - detecting an occupied state with at least two changes of current value of said transmitted and / or received current, during a vehicle passage on said segment, representative of the inbound and outbound of said railway vehicle, - detecting a fall of foreign materials comprising: - determining an after occupancy current value of said transmitted and / or received current after expiration of said passage, - determining the absolute value of the difference between said after occupancy and said reference current values, - if the absolute value of the difference is higher than a predetermined threshold, identifying a fall, - alerting about the presence of foreign materials.

Method for monitoring a track switch with a switch drive, wherein the switch drive includes a housing, a switch setting motor arranged in the housing and a switch rod extending out of the housing for coupling to a track switch. The method includes providing a piezoelectric sensor arranged on the housing and detecting measurement signals of the piezoelectric sensor during a switching operation of the switch drive. Periodic components of the measurement signal are at least partially filtered out in order to obtain signal components representative of a non-periodic change in the strain of the housing. The method also includes evaluating a temporal progression of the signal components representative of the non-periodic change in strain in order to identify deviations from a nominal state.

A method for monitoring the integrity of a railway system (2) comprises the steps of: acquiring measurement signals from multiple strain sensors (21) on a track rail (6) of the railway system (2); determining the integrity of at least one component (5, 6, 7, 9) of the railway system (2) based on the measurement signals, wherein the multiple strain sensors (21) are components of a linear detection device (19) attached to the track rail (6) and extend over a measuring section (31) along the track rail (6) with a length (L) of at least 100 m; and wherein the integrity is determined by means of an electronic evaluation unit (20) which is in signal communication with the multiple strain sensors (21), in particular at least 100 of the strain sensors (21), for receiving the measurement signals. A monitoring device (1) for monitoring the integrity of the railway system (2).

The invention relates to the technical field of railway signal processing, and discloses a track circuit compensation capacitor fault prediction method and system. The method comprises the following steps: acquiring real-time impedance spectroscopy data by using a distributed capacitive sensor network; performing multi-scale wavelet decomposition on the data, and extracting frequency domain energy distribution and transient abnormal fluctuation characteristics; constructing a dynamic Bayesian network model, and updating hidden state node posterior probability distribution through a variational inference algorithm; generating a fault risk index sequence based on a posterior probability, and designing an adaptive threshold adjustment strategy by using a reinforcement learning framework; constructing a mixed integer dynamic programming model to output fault early warning grade data; and constructing a multi-stage decision tree which comprises a feature screening layer, a pattern matching layer and a verification feedback layer. The method and the system can accurately predict the track circuit compensation capacitor fault in real time, improve the fault prediction accuracy and the system adaptability, reduce the false alarm rate, and provide reliable basis for railway operation and maintenance.

The present invention provides a monitoring system (104) comprising at least two interconnected sensors (102a, b, c) for monitoring events or situations in a traffic infrastructure (100) by detecting vibration at multiple sensor locations, wherein each sensor (102a, b, c) is integrated in a housing of an electrical connector directly connected to a traffic infrastructure equipment for deriving vibration patterns (109a, b, c) from the detected vibration, a method for monitoring events or situations in a traffic infrastructure (100) using a monitoring system (104) and a traffic infrastructure (100), in particular railway infrastructure, provided with such monitoring system (104).

The invention relates to the technical field of fault prediction, in particular to an online fault diagnosis method and system for railway axle counting equipment, and the method comprises the following steps: collecting an original analog voltage signal of an axle counting sensor on line in real time, sampling a wheel passing signal each time, obtaining an original voltage signal sample, and calculating the fault of the axle counting sensor; time axis stretching transformation is carried out on each original voltage signal sample, and a standardized waveform sequence is established; according to the method, the original analog voltage signal of the axle counting sensor is subjected to successive sampling and standardization processing, so that the comparability of the waveform in the time dimension is improved, and the micromorphological feature vector is constructed by combining a plurality of waveform features such as peak symmetry, rising edge slope, falling edge slope, oscillation attenuation rate after zero crossing, integral area and the like; fine-grained information reflecting the health state of the sensor is modeled.

Embodiments of the application relate to a technical field of traffic trackside intelligent devices. A trackside device includes: a collection module configured to collect detection information at a side of a track; a processing module configured to process the detection information to obtain a processing result; a trackside resource control module configured to drive and control a trackside resource when a trackside resource request is received from a target train and the trackside resource is in a released state, wherein the trackside resource control module is further configured to monitor a state of the trackside resource; and a communication module configured to communicatively connect with a ground center and the target train.

Assemblies, systems, and methods for inspecting vehicles are disclosed. An assembly can comprise a first angled camera, a second angled camera, an upright camera, lights, and a housing configured to attach to a railway. The first angled camera can be oriented at least partially in a generally vertical direction and at least partially in a first horizontal direction, and directed to a first target region from a first viewpoint. The second angled camera can be oriented at least partially in the generally vertical direction and at least partially in a second horizontal direction, and directed to a second target region from a second viewpoint. The upright camera can be oriented substantially in a vertical direction, and configured to capture images of a third target region from a third viewpoint.

A rail vehicle system is described which comprises: i) a track section which has a monitoring device, in particular an axle counter, which is configured to monitor the state of the track section; ii) a rail vehicle which passes the track section forwards and / or backwards; and iii) a control device which is coupled to the rail vehicle and which is configured to perform ghost train detection using the rail vehicle and the state of the monitoring device; characterized in that iv) the control device is further configured to determine whether a short vehicle whose position is not recorded in the rail vehicle system meets an activation criterion, and, if the activation criterion is met, to perform ghost train detection in a high-speed mode at increased speed.

The invention relates in particular to a wheel detector for a railway track system for detecting the wheels of a passing track vehicle. According to the invention, in relation to the wheel detector, the transmitting device (10) of the wheel detector designed to generate an alternating electromagnetic field can adjust its effective transmission frequency (f) by means of a control signal (ST) and is allowed to select the effective transmission frequency (f) from at least two different transmission frequencies, and the evaluation device (30) of the wheel detector is designed to adjust the transmission frequency (f) by means of a control signal (ST) when the reception signal (Se) of the receiving device (20) of the wheel detector meets predetermined conversion criteria.

The utility model relates to a signal acquisition and processing device and a track signal detection system, the signal acquisition and processing device comprises a coil interface, the signal acquisition end of the coil interface is used for being connected with the signal output end of a maintenance interface of a locomotive signal host; the signal acquisition module is connected with the signal acquisition end, and the signal acquisition module is used for carrying out analog-to-digital conversion processing on the track signals output by the signal acquisition end; the signal processing module is connected with the signal acquisition module, and the signal processing module is used for decoding the track signals output by the signal acquisition module; the data storage module is connected with the signal processing module, and the data storage module is used for storing the track signals output by the signal processing module. The signal collecting and processing equipment solves the problem that in the prior art, the quality condition of a track signal collected by a ground sending end is difficult to accurately reflect the quality condition of a track signal received by a vehicle-mounted receiving end.

Railcar inspection systems, methods, and apparatuses are disclosed, including a railcar inspection portal. The railcar inspection portal can include a physical structure positioned around a railroad track, and through which a railcar can travel. The railcar inspection portal can include wheel detection sensors along the railroad track for detecting the presence of a railcar passing over the sensors. The sensors can transmit signals, corresponding to railcars passing over the sensors, to computing devices for determining railcar speeds. The railcar inspection portal can include imaging devices configured to capture images and readings of railcars passing through the inspection portal. Based on a determined speed corresponding to a passing railcar, the computing devices can control the imaging devices to capture specific areas or components of the passing railcar, or individual cars thereon. The computing devices can process the captured images to detect defects corresponding to the passing railcar, or individual cars thereon.

To provide systems for blocking access to gaps in certain amusement park ride systems.SOLUTION: A ride vehicle 14 is coupled to a transport part extending through a gap 30. A guardrail assembly having a plurality of guardrail units is coupled to a first portion, where the guardrail units are configured to transition between a first position and a second position. The guardrail units are configured to block access to the gap 30 when in the first position. The ride vehicle 14 includes an engagement feature part configured to interface with an individual guardrail unit of the guardrail units to selectively transition the individual guardrail unit from the first position to the second position. The individual guardrail unit is configured to permit the ride vehicle 14 to occupy a guest-accessible position adjacent to or on a loading platform 17 in the second position.SELECTED DRAWING: Figure 1

A system and method for virtual block operational status control with long block time delay is presented. The present disclosure can advantageously increase the capacity and safety of the existing railroad track infrastructure used by the railroads by determining whether a virtual block is healthy or unhealthy. The long block mode can provide a coarse granularity on the presence of a train. In virtual block mode, the system can implement a finer granularity so the virtual aspects of the sub blocks can be realized. The present disclosure provides a long block mode that can provide the system an opportunity to analyze the potential tradeoffs between granularity and reliability by determining which mode (virtual block or long block) is best utilized in a given situation. The system can operate by default in long block mode and ignore the virtual block capabilities until absolutely needed.

A maintenance apparatus (10) transmits a pulse signal from a predetermined observation point (P) of rails (R), observes an observation signal that appears at the observation point (P) after transmission of the pulse signal, compares an observation history of the observation signals and the observation signal received this time, and detects occurrence of abnormality in any one of the rails (R) and at least one electric apparatus (20) connected to the rails (R).

A system and method for virtual block operational status control with long block time delay is presented. The present disclosure can advantageously increase the capacity and safety of the existing railroad track infrastructure used by the railroads by determining whether a virtual block is healthy or unhealthy. The long block mode can provide a coarse granularity on the presence of a train. In virtual block mode, the system can implement a finer granularity so the virtual aspects of the sub blocks can be realized. The present disclosure provides a long block mode that can provide the system an opportunity to analyze the potential tradeoffs between granularity and reliability by determining which mode (virtual block or long block) is best utilized in a given situation. The system can operate by default in long block mode and ignore the virtual block capabilities until absolutely needed.

A train simulator test device is disclosed that is operably coupled to a rail to measure the static impedance of the track circuit and to simulate a train by varying the rail inductance for a set period of time. The testing device can select the speed, direction and number of trains to be simulated. By applying a variable inductor on the rail, the test device can simulate that a train enters and exits an island at a variable speed. The test device may use electrical induction on the rail to simulate simultaneous movement of two or more trains in each direction of the track, as well as multiple appearances and routes. The train simulator test device may include simulation software to vary parameters of the train simulation and couple a variable inductor on the rail.