792results about "Vehicle route interaction devices" patented technology

The invention relates to a linear detection means, in particular a measuring strip (1), for detecting loads along a section, in particular track section, comprising a number N of optical fibres (2), where N > 1, wherein the detection means has at least one measuring portion (4) which extends over at least part of the detection means, wherein at least one of the optical fibres (2) is designed as a measuring fibre which has, in the measuring portion (4), a plurality of sensors arranged at certain points, wherein the maximum dimension of the detection means in a cross-sectional plane is at most 20 cm. The invention also relates to a device and a system having such a detection means.

An infusion system may include a radioisotope generator that generates a radioactive eluate via elution, a beta detector, a gamma detector, and a controller. The beta detector and the gamma detector may be positioned to measure beta emissions and gamma emissions, respectively, emitted from the radioactive eluate. In some examples, the controller is configured to calibrate the infusion system using the gamma detector. For example, the controller may generate a radioactive eluate and measure the activity of the radioactive eluate using both the beta detector and the gamma detector. The high accuracy of the activity measured by the gamma detector may be used to calibrate the infusion system. In subsequent use, the infusion system calibrated using the gamma detector may adjust measurements made to monitor and / or control patient infusion procedures.

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 train control method and a train control system based on credible interval entry check. The train control method comprises the following steps: starting a backup command; the temporary speed limit server starts a sending module used for sending authorization to a train self-protection system; performing interval credible entry check; determining the existence condition of the train in the interval; the temporary speed limit server updates a train existence condition list in the interval; the train obtains a front driving permission; the train runs according to the running permission. According to the train control method and the train control system based on the credible interval entry check, the axle counting equipment is arranged at the interval entrance, software of the temporary speed limit server only needs to adjust individual modules, and the software of the temporary speed limit server can be only used for recording the train condition in the interval and is not used for authorized calculation, so that the train control method and the train control system are convenient to use. The deployment cost of the temporary speed limit server is reduced, the transportation efficiency under the condition of a CTCS-2 system fault is improved, and the toughness of the CTCS-2 system is improved.

The invention relates to a train interlocking control method and system based on distributed interlocking control, and belongs to the technical field of urban rail transit signal systems.The train interlocking control method comprises the steps that the real-time position and dispatching demand data of a train are received; determining the next target position of the train according to the scheduling demand data, and generating a corresponding scheduling command; the dispatching command is analyzed and verified according to the current track state data, the signal machine state data and the turnout position data, confirmation feedback information or correction feedback information is generated to confirm or correct the dispatching command, a final dispatching command is obtained, and a signal machine state adjusting command and a turnout position adjusting command are generated; according to the execution feedback result and the circuit state monitoring data, the execution condition of the final dispatching command is analyzed, and normal driving confirmation information or dispatching execution abnormal information is fed back to the train control center. According to the invention, distributed interlocking control can be realized, and the safety and efficiency of train operation are greatly improved.

A system and method for virtual block stick circuits is presented. The present disclosure implements specialized algorithms adapted to determine the true status of a virtual block based on multiple inputs from different perspectives. In one embodiment, the system can use the far house perspective of that virtual track segment and the PTC hazard for the near virtual track segment directly adjacent to the near house uses the near house perspective of that virtual track segment. For the middle virtual track segments, the near house perspectives of the middle virtual track segments are held ‘TRUE’ if they are already ‘TRUE’ when the train first enters the block, using stick circuits for the near house perspective of the middle track circuits. The vital application can then indicate the true state of the virtual track segment as occupied (FALSE), to protect the train from trains that follow.

Methods and systems for train detection apparatus angle alignment is described. A train detection system includes a train detection apparatus configured for installation at an installation site at a defined angle with respect to railroad tracks and a processor configured to execute a method for aligning the train detection apparatus to the defined angle. The processor configured to determine a railroad tracks angle with respect to a reference angle based on an image captured of the installation site, obtain, from a sensor, a train detection apparatus angle with respect to the reference angle, determine an alignment angle based on the railroad tracks angle and the train detection apparatus angle, and send the alignment angle to substantially align the train detection apparatus to the railroad tracks in accordance with the defined angle.

Railcar inspection systems, methods, and apparatuses are disclosed, including a railcar inspection portal. The railcar inspection portal includes 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.

The invention relates to a two-way early warning method and system for work depot operation, processing equipment and a storage medium, and the method comprises the steps: arranging a vibration sensor on each track, and enabling the vibration sensors of all tracks in a certain region to form a corresponding vibration sensor array; the signals collected by the vibration sensors are processed, the vibration signals, collected by the vibration sensors, of the train passing through the track are extracted, and the track of the coming train is determined; a computer vision algorithm is adopted, based on the video monitoring data of the track of the coming train, the behavior state of a working worker in operation in the track is detected, and the behavior state is sent to a train center controller of the coming train; the train center controller of the coming train judges whether the working personnel in operation have potential threats or not according to the detected behavior state of the working personnel in operation in the track, if yes, early warning is carried out, and the method can be widely applied to the field of operation scenes of the railway service depot.

An apparatus for detecting movement of an object of interest includes a battery, a vibration sensor in power communication with the battery, and an energy emitter in communication with the vibration sensor and configured to emit energy in response to the vibration sensor sensing vibration exceeding a threshold value to detect movement of the object of interest. A method for detecting movement of an object of interest is also provided.

A microphone assembly including an outer housing, an inner housing, a printed circuit board (PCB) and a cord. The outer housing includes an outer surface, an inner surface opposite the outer surface and defining an opening there through, and a plurality of attachment structures protruding from the inner surface thereof. The inner housing includes an outer surface, an opening, and a plurality of attachment structures protruding from the outer surface thereof. The PCB includes at least one micro-electromechanical systems (MEMS) microphone including an acoustic port. The PCB is coupled to the inner housing such that the acoustic port of the at least one MEMS microphone is positioned within the opening. The cord interconnects the attachment structures of the outer and inner housings, respectively, together.

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 discloses a track axle counting device and a track axle counting method. The system comprises an electromagnetic axle counting module and an axle counting host unit, the electromagnetic axle counting module comprises an electromagnetic axle counting sensor unit and a fiber grating sensor unit; the fiber bragg grating sensor unit is used for generating a synchronously changing wavelength signal due to the change of rail stress when a train wheel passes through an axle counting point and inputting the wavelength signal into the axle counting host unit; and the axle counting host unit is used for determining whether the electromagnetic axle counting sensing unit is in an interference error axle counting state or not according to the electromagnetic axle counting current information and the wavelength signal and determining the actual axle number of the axle counting point. According to the technical scheme, whether the electromagnetic axle counting sensor unit is interfered or not is determined according to the electromagnetic axle counting current information of the electromagnetic axle counting sensor unit and the wavelength signal of the fiber grating sensor unit, then the axle counting number is judged, the situation that the electromagnetic axle counting sensor unit counts axles mistakenly due to metal foreign matter or electromagnetic interference is eliminated, and the axle counting accuracy is improved. And the safety and the stability of a train operation system are improved.

A measuring method for detecting a mechanical force acting on an object using a fiber optic sensor unit is disclosed. At least one measuring channel has a sensor fiber with a fiber Bragg grating embedded in the sensor fiber with a Bragg wavelength and a sensor detection element. The sensor fiber is fixed to the object in the area of the sensor FBG. The method includes coupling light from a light source into the sensor fiber and detecting the light reflected and / or transmitted by the sensor FBG by the sensor detection element. The light source has a wavelength-dependent intensity distribution with an edge. A wavelength change in the Bragg wavelength of the sensor FBG is determined by evaluating a measurement signal which has an intensity change in the detected light intensity of the entire light reflected by the sensor FBG and / or of the entire light transmitted by the sensor FBG.

A computer-implemented method for evaluating a data set from an axle counter (100) is described, comprising: i) determining a plurality of signals from the data set; ii) classifying the determined signals; and iii) providing an evaluation of the data set (130) based on the determination and classification of the signals; a) wherein the determination and classification of the signals is performed using a deep learning algorithm (150), and b) wherein the deep learning algorithm (150) comprises a convolutional neural network (110).

A monitoring unit for monitoring a railway track is provided. The monitoring unit may include a processing unit, at least one wheel sensor connectable to a rail of the railway track, and a sensor arrangement connectable to a railway switch of the railway track. The wheel sensor and the sensor arrangement may be connected with the processing unit, and the processing unit may include an output that is connectable to a signaling system. Furthermore, a method for monitoring a railway track is provided.

Railcar inspection systems, methods, and apparatuses are disclosed, including a railcar inspection portal. The railcar inspection portal includes 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.

According to the train-ground cooperative neutral section passing device and method, a train and the ground are matched with each other, a train operation control system is adjusted, communication between a ground traction power supply system and the train is increased, and a transponder or an auxiliary signal device of a ground train automatic protection system is matched; the train electrified section passing under a bilateral power supply mode and the train power-off neutral section passing under a unilateral power supply mode are realized, the train neutral section breaking accident is effectively avoided, the safe operation of the train is guaranteed, and the reliability of a traction power supply system is improved. The train-ground collaborative neutral section passing device can solve the problem of train neutral section passing in the electric segmentation and electric neutral section conversion state of an alternating-current electrified railway bilateral power supply traction power supply system, is reliable in structure, can prevent the occurrence of a neutral section breaking accident, and improves the reliability of train operation.

An onboard control system for controlling operation of a drive system of a rail vehicle or a train of coupled rail vehicles is provided. The drive system has extraction equipment to extract electrical power from an external electrical power line for onward supply to one or more traction motors of the drive system. The drive system further has an onboard energy storage system for supply of electrical power to the traction motors. The onboard energy storage system is rechargeable by receiving electrical power from the external electrical power line via the extraction equipment. The train has plural operational states which are at least partly defined by command signals from an operator of the train specifying respective amounts of torque demanded of the traction motors. The onboard control system has a database which relates the operational states to respective current limit values. The onboard control system is configured to: receive the command signals and on the basis thereof determine the present operational state of the train, and control the drive system such that electrical current passing through the extraction equipment does not exceed the current limit value from the database corresponding to the present operational state.

The present invention discloses a variable frequency regulation system and method for improving the anti-interference performance of a wheel sensor, comprising a microcontroller circuit; the microcontroller circuit is respectively connected to a DDS signal generating circuit, a receiving resonance regulating circuit, a receiving signal sampling conversion circuit, a temperature detection circuit, a CAN communication circuit, an EEPROM circuit and an ADC reference circuit; the DDS signal generating circuit is sequentially connected to a power amplifier circuit, a transmitting resonance regulating circuit and a transmitting signal sampling conversion circuit; the output end of the transmitting signal sampling conversion circuit is connected to the microcontroller circuit; and the transmitting resonance regulating circuit is controlled by the microcontroller circuit. The present invention can improve the sensing reliability and anti-interference performance of the wheel sensor to meet the wheel detection requirements under the electromagnetic environment of different projects, and the present invention can adjust the working frequency of the wheel sensor according to the different interference frequencies of each project, so that the wheel sensor has higher flexibility and anti-interference ability.

The invention relates to the technical field of railway switch machine application and detection, in particular to a switch machine contact device for real-time state detection and a detection system, the switch machine contact device comprises a shell, a plurality of static contacts and a plurality of movable contacts are arranged in the shell in a one-to-one correspondence mode, the movable contacts are hinged to the bottom wall of the shell, and connecting structures connected with the movable contacts are arranged on the static contacts; the auxiliary moving contacts are arranged along the distribution direction of the plurality of moving contacts; the auxiliary static contacts are arranged along the distribution direction of the plurality of static contacts, and the static contacts and the auxiliary moving contacts are oppositely arranged; the fixed resistor is arranged on the auxiliary movable contact and the auxiliary static contact; the main body part of the angle sensor is fixedly connected to the outer wall of the shell, and the detection end is fixedly connected with the auxiliary movable contact rotating shaft; the camera is arranged at the top end of the shell, and a camera module corresponds to the interior of the shell. The method has the advantages that the detection precision of the switch machine is improved, and the overall condition in the switch machine is obtained in real time.

The invention relates to a train approaching early warning system and method, and the system comprises an embedded rail vibration signal collection device which comprises a three-axis vibration sensor which can be adsorbed on a rail to collect the vibration data of the rail in the X axis, the Y axis and the Z axis; the neural network model is used for analyzing the vibration data, converting the neural network model trained at the server side into a format suitable for the embedded rail vibration signal acquisition equipment, and deploying the neural network model in the embedded rail vibration signal acquisition equipment; the neural network model comprises a dual-channel input convolution layer, a lower sampling layer, an upper sampling layer and an output layer; wherein the two-channel input convolution layer processes the high-frequency part and the low-frequency part in the vibration data, the features of the high-frequency part and the low-frequency part are fused, and a classification result is generated through the output layer after gradual compression of the lower sampling layer and reconstruction of the upper sampling layer. Rail vibration signals are processed on site in real time, and the accuracy and response speed of train approaching early warning are improved.

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.