258 results about "Track circuit" patented technology

The invention provides a metro driver abnormal behavior recognition method based on multi-modal data fusion. The method comprises the steps that metro driver abnormal behaviors are recognized based on multi-modal data fusion, track positioning and platform screen door sensor data are fused to detect the position of a train, and a station entering confirmation instruction is generated; according to the data of the seat pressure distribution sensor, driver off-seat inspection is judged; generating an outbound completion event in combination with a track circuit signal, an ATO instruction and the like; analyzing console touch pressure, voice instructions, hand actions and the like to verify operation compliance, and triggering an alarm when the operation is abnormal; aggregating results at edge computing nodes, encrypting and transmitting the aggregated results to a central scheduling system, dynamically mapping driver behaviors in a digital twin cockpit, and automatically triggering hierarchical alarms and associating data snapshots when the driver behaviors are abnormal; according to the invention, accurate recognition and real-time early warning of subway driver behaviors can be realized by means of multi-modal data fusion and intelligent analysis, and the subway operation safety and the emergency response efficiency are greatly improved.

The invention discloses an interval occupation logic checking method, a train control system, a storage medium and electronic equipment, which are used for automatically blocking a standard railway line, and the method comprises the following steps: acquiring train position information and a train type; acquiring track circuit data, and judging a track section state; and generating a corresponding signal permission for the train based on the train position information, the train type and the track section state, and judging the logic state of the corresponding block partition based on the signal permission. The method has the advantages that the normal train, the fault train and the non-moving block train can be ensured to safely run on the automatic block system railway line at the same time, the normal train can still adopt the moving block system and does not need to be degraded into the automatic block system, the running density of the normal train is improved, and the running efficiency is improved. Therefore, the traffic capacity of the automatic block type railway line is improved.

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 field of railway shunting management and control, and provides a field intelligent shunting management and control method and device.The method comprises the steps that field real-time information is obtained, and the field real-time information comprises a vehicle license plate picture, laser ranging information and an original signal collected by a track circuit; the field section real-time information is recognized, modeling information is obtained, and the modeling information comprises vehicle identity information, vehicle position coordinates and real-time station track occupancy states; establishing a digital twinborn model according to the modeling information; performing dynamic planning algorithm processing according to the digital twinborn model in combination with preset vehicle target distribution, station track capacity limitation and locomotive performance parameters to obtain a shunting coupler plan; the turnout position is adjusted to the preset angle according to the shunting coupler plan, the overall efficiency of shunting operation and the accuracy of the plan can be remarkably improved, and the safety and reliability of the operation process are effectively enhanced.

The utility model relates to the technical field of rail transit, in particular to a double-end I-shaped steel type anti-falling guardrail which comprises a guardrail support, a walking rail and an I-shaped steel guardrail body. The I-shaped steel guard rail is clamped at the top of the insulating sleeve boot type elastic cushion block and fastened on the guard rail support through a detachable fastening mechanism, the walking rail is locked on the guard rail support through a locking mechanism, and the portion, making contact with the guard rail support, of the bottom of the walking rail is sleeved with an insulating spacer. The service life is doubled, meanwhile, the structural stability is higher than that of a single working face, meanwhile, the insulating property is high, the requirement for track circuit laying is lowered, the safety of a track circuit is further guaranteed, and therefore cross-signal-area laying can be conveniently conducted.

The invention relates to an active secondary train positioning device, method, equipment and medium, the device is respectively connected with a trackside beacon and an interlocking subsystem, the device comprises a vehicle-mounted backup positioning subsystem BLS and an indoor backup positioning subsystem WBLS, the vehicle-mounted backup positioning subsystem BLS acquires trackside beacon information, and the indoor backup positioning subsystem WBLS acquires the trackside beacon information. And the beacon ID is sent to the indoor backup positioning subsystem WBLS, and the indoor backup positioning subsystem WBLS calculates the occupation state of the secondary detection section SDD according to the beacon ID and sends the occupation state to the interlocking subsystem. Compared with the prior art, the method has the advantages that passive secondary train positioning devices such as trackside axle counters or track circuits are reduced, the equipment maintenance workload can be reduced, and the whole life cycle cost of the system is reduced.

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 discloses a low-cost train operation control simulation system based on digital twinning and an SSA-DBO algorithm. The system is composed of hardware, software and a digital twinborn body. Firstly, a single chip microcomputer, a wireless communication module, a common cathode nixie tube, a yellow-green LED lamp, a motor driving module and the like are designed as hardware, and the modules form a physical entity; secondly, according to software design, input signals of a track circuit are monitored, and corresponding logic judgment and processing are carried out according to received information; and finally, the digital twin designs a virtual model based on a physical system, the virtual model comprises a train, a track, a sensor and other components, various state information of the physical system is collected in real time through a track circuit, the train sensor and the like of the solid model, the state information is uploaded to a server by utilizing the Internet of Things technology, and after data screening is carried out through an SSA-DBO algorithm, the state information of the physical system is obtained. The data and the model together drive the digital twin for monitoring, analysis, optimization, prediction and visualization.

The invention relates to a BERT and multi-module fusion-based track circuit fault label classification method and device and a medium, and the method comprises the steps: obtaining a to-be-classified track circuit fault text, and carrying out the cleaning and standardization processing of the to-be-classified track circuit fault text; performing word segmentation and vectorization processing on the track circuit fault text to generate a lexical symbol sequence conforming to BERT encoder input specifications; extracting a context semantic vector representation of the input lexical symbol sequence through a BERT encoder; performing feature extraction through a TextCNN module and a self-attention module which are parallel to obtain local features and weighted global features, and splicing the local features and the weighted global features to obtain a comprehensive feature vector; and synchronously generating a multi-label classification result of a fault phenomenon, a fault reason and a solution measure corresponding to the current fault text through a multi-label classification head based on the comprehensive feature vector. Compared with the prior art, the method has the advantages of high discrimination, high accuracy, high practicability and the like.

The invention discloses a risk assessment and prediction method and system for poor shunting of a track circuit. The method comprises the following steps: acquiring track circuit related data and environment data; extracting the data, and constructing a knowledge graph; calculating the attention weights of the nodes according to an attention weight algorithm, analyzing the relation between the nodes, and connecting the nodes with the relation in the knowledge graph; performing weighted summation on the attention weight of the node to obtain a comprehensive risk score of the node; the comprehensive risk score is compared with a historical score, and the risk degree is judged; combining the comprehensive risk score with a historical score to predict a risk change trend; and determining the priority of the equipment needing to be maintained. According to the method, the relationship among various events, parameter states and poor shunting of the track circuit is effectively quantified through a graph attention mechanism, so that operation and maintenance personnel can accurately evaluate the risk and predict the evolution trend of the poor shunting risk, and suggestions are provided for predictive maintenance.

The utility model discloses a calibration device for a track circuit dynamic detection system, and relates to the technical field of track circuit dynamic detection. The device comprises a signal source module, a power amplifier, a load resistor and an ampere meter, the controller outputs a control signal to the signal generator; the signal generator outputs a current signal to the gain regulator based on the control signal; the gain regulator outputs the current signal after gain regulation to the power amplifier based on the current signal; the power amplifier outputs an amplified current signal to the load resistor based on the current signal after gain adjustment; according to the utility model, the precision and the stability of the output current signal can be improved, and the stability, the accuracy and the efficiency of the calibration of the track circuit dynamic detection system can be improved.

The utility model relates to the technical field of railway signal monitoring, in particular to a 25Hz phase-sensitive track circuit traction current imbalance monitoring system, which comprises a current acquisition module arranged at the power transmitting end and the power receiving end of a steel rail and comprising a plurality of current transformers coupled to the secondary side of a choke transformer; the signal conditioning modules are respectively configured at the rear stage of each current transformer, and each signal conditioning module comprises a pre-amplification unit, a band-pass filtering unit, a rear amplification unit and an analog-to-digital conversion unit which are electrically connected in sequence; and the data processing module is configured at the rear stage of the plurality of signal conditioning modules and comprises a data processing chip U8. According to the utility model, through a multi-stage processing flow, weak signals are firstly subjected to primary amplification, then interference signals are subjected to band-pass filtering, and finally secondary amplification and analog-to-digital conversion are carried out, so that the signal-to-noise ratio and the precision of the signals are greatly improved, and high-quality digital signals are provided for subsequent data processing.

The invention belongs to the technical field of rail traffic signals, particularly relates to a rail circuit interference test analysis method, system and equipment, and aims to solve the problems that a mixed interference source is difficult to accurately position, accidental faults cannot be captured and diagnosis is subjective. The method comprises the following steps: performing multi-channel synchronous acquisition and real-time storage on a voltage signal and a current signal of a track circuit; processing the original signal in real time, analyzing different frequency components through high-resolution spectrum analysis, and comparing with a preset threshold in combination with time domain analysis to trigger an alarm and generate a real-time analysis report; and performing intelligent analysis on historical data, performing verification and feature recognition on fault period data by establishing a probability model of a normal working condition, and generating a diagnosis analysis report. According to the method, the interference source can be accurately separated and positioned, the transient fault is automatically captured, objective and intelligent fault diagnosis is provided, and the efficiency and reliability of track circuit troubleshooting are remarkably improved.

The invention provides a method for transmitting a low-frequency code sequence by a train control center and processing the low-frequency code sequence by a vehicle-mounted device and a train control system, and the train control center not only can transmit the low-frequency code sequence to the vehicle-mounted device based on a track circuit interface, but also can directly transmit the low-frequency code sequence to the vehicle-mounted device based on wireless communication. Therefore, the problem that in the prior art, a train control center can only send low-frequency code sequence information to vehicle-mounted equipment through a single track circuit interface is solved. Under the scene of track circuit interface single-channel link failure, a train control center uses a redundant channel to continuously provide driving permission information for vehicle-mounted equipment, and the train operation efficiency and the line transport capacity are improved.

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 utility model discloses a track circuit reader test interface switching device, and relates to the field of track circuit equipment. The utility model aims to solve the problem that the traffic safety is influenced because the number of test items of TCR equipment is small. According to the track circuit reader test interface switching device of the utility model, a CAN signal input / output end of a CAN isolation transmit-receive module is used for being connected with a CAN bus of a DB15 connector, and a logic level input / output end of the CAN isolation transmit-receive module is connected with a logic level input / output end of an MCU. The parallel port information input and output end of the MCU is connected with the parallel port information input and output end of the optocoupler, and the optocoupler outputs or receives signals through the external input and output signal test interface module.

1. Name of the design product: Train track detector. 2. Use of the design product: Used for detecting train track circuits. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Perspective view.

The present application relates to the technical field of switch snow melting heating control, and particularly to a railway switch snow melting intelligent control method and system, the method comprising the following steps: obtaining early warning information indicating that a vehicle is about to arrive at a switch, the electric heating element of the switch being divided into a core heating zone and a regular heating zone; based on the early warning information, a first heating mode is executed, the first heating mode concentrating heating power on the core heating zone; the track circuit occupation state of the switch itself is monitored, and the actual occupation duration of the vehicle occupying the track circuit is recorded; after the track circuit occupation state of the switch itself is released, the first heating mode or the second heating mode is terminated; by starting core zone heating in advance based on train early warning information, and switching to core zone and regular zone common heating when the train occupies for a long time, the problem of instantaneous and local secondary freezing caused by train passing is effectively solved.

The present application relates to on-board charger (OBC) methods and systems. An on-board battery charger (OBC) includes first and second rails that generate a first detection signal and a second detection signal based on a voltage event such as a zero-crossing or peak voltage event of an input voltage provided to the rail circuit. The OBC includes a relay that can switch between (i) an open state and (ii) a closed state. In the open state, the relay disconnects the rails so that the rails can receive a first-phase input voltage and a second-phase input voltage from a polyphase mains power supply, respectively. In the closed state, the relay connects the rails so that the rails can both receive the same input voltage from a single-phase mains power supply. A controller determines whether the input voltages received by the rails from the mains power supply are out of phase or in phase based on a comparison of the detection signals at the same time, in order to determine therefrom whether the mains power supply is polyphase or single-phase and / or whether the relay is properly or improperly open or closed.

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.

The utility model discloses a communication protocol conversion board and a train control system, and the communication protocol conversion board comprises an Ethernet communication interface module which receives coded data transmitted by a train control master control module through an Ethernet interface and uploads track circuit state data to the train control master control module; the CAN communication interface module is used for acquiring CAN data of two CAN buses of the track circuit equipment through two CAN interfaces and sending two pieces of state inquiry data to the track circuit equipment; the main control logic module is used for receiving the coded data, generating two identical state inquiry data according to the coded data, sending the two identical state inquiry data to the CAN communication interface module, converting the received first CAN data and second CAN data into track circuit state data, storing the track circuit state data in a first buffer, and sending the track circuit state data to a second buffer when the coded data is received in the next period; and sending the track circuit state data stored in the first buffer to a train control master control module. According to the invention, network port resources of the train control master control module can be saved, and the real-time performance and the high efficiency of track circuit state data response are improved.

The invention discloses a track circuit fault cause analysis method based on text record data mining, and belongs to the technical field of track circuit fault diagnosis and analysis in a railway signal system, and the method comprises the following steps: S1, collecting a track circuit fault text, and processing the track circuit fault text into a standardized fault text R; s2, semantic features and word order features of the R are extracted and fused, and a feature set S is output after optimization of an SMOTE algorithm; s3, inputting the S into an FEML model, and outputting a large-class label corresponding to the fault text through parameter optimization, parallel training of a base learner and integration of a meta learner; s4, in combination with the weight value and a Dirichlet multi-term hybrid model, extracting and outputting a fine-grained fault type and a cause thereof under the large-class label; and S5, constructing a visual map by using Neo4j, and realizing association analysis through a Cyber query language. According to the method, the analysis model and the visual knowledge graph are constructed, fault causes are accurately mined, and the operation and maintenance efficiency is improved.

A track circuit apparatus (1) measures a transmission voltage and transmission current of an AC signal transmitted to rails, calculates an impedance equivalent value based on amplitudes of and a phase difference between the measured transmission voltage and transmission current, and determines presence of the train based on values of real and imaginary component values of the calculated impedance equivalent value.

The application discloses a tracking lock type maximum power point tracking circuit and an implementation method thereof, which comprises a rectifier circuit, a control circuit, a step-down-step-up converter control circuit and a step-down-step-up converter. The rectifier circuit is used for converting input alternating current energy into direct current energy. The control circuit is used for judging the length of current inductance demagnetization time, adjusting the current inductance demagnetization time, realizing indirect detection of inductance current zero-crossing point, and generating a switch timing control signal. The step-down-step-up converter control circuit is used for generating a first switch tube driving signal and a second switch tube driving signal. The step-down-step-up converter is used for adjusting input impedance according to the first switch tube driving signal and the second switch tube driving signal, and realizing maximum power point tracking. The application can realize adaptive locking of the maximum power point under different vibration frequencies and different open circuit voltages, improve the tracking speed of the circuit when the input changes, and can be widely applied to the technical field of integrated circuits.

The invention provides an insulation fault detection system and method. The insulation fault detection system comprises a detection unit, a grounding subsystem, a leakage current detection subsystem and a controller. The detection unit is a maximum power point tracking circuit formed by photovoltaic group strings or parallel connection of the photovoltaic group strings. And the grounding subsystem is connected with the positive and negative electrodes of the direct-current bus and the ground and executes positive electrode or negative electrode grounding switching operation. The leakage current detection subsystems are correspondingly arranged on the detection units and used for collecting leakage current. The insulation fault detection system is configured to be capable of forming an independent measurement loop dominated by a current detected unit when executing leakage current collection, the controller receives leakage current values of all the units in sequence based on the independent loop, and through preset numerical value processing, a specific detection unit with an insulation fault can be positioned, and the leakage current values of all the units can be detected. And the approximate position range of the fault photovoltaic module in the detection unit can be further calculated.

The present application belongs to the field of rail transit signal technology, and specifically relates to a rail circuit interference test analysis method, system and device, aiming to solve the problems of difficult accurate positioning of mixed interference sources, inability to capture occasional faults and subjective diagnosis. The present application comprises: multi-channel synchronous acquisition and real-time storage of voltage signals and current signals of the rail circuit; real-time processing of the original signals, analysis of different frequency components through high-resolution spectrum analysis, comparison with a preset threshold to trigger an alarm and generate a real-time analysis report in combination with time domain analysis; intelligent analysis of historical data, verification and feature recognition of fault period data through establishment of a probability model of normal working conditions to generate a diagnostic analysis report. The present application can realize accurate separation and positioning of interference sources, automatically capture transient faults, and provide objective and intelligent fault diagnosis, significantly improving the efficiency and reliability of rail circuit fault troubleshooting.

The invention relates to the technical field of track traffic safety monitoring, in particular to a track circuit operating characteristic analysis system and method.The track circuit operating characteristic analysis system comprises a traction rail backflow monitoring module used for monitoring line parameters on a lead wire between a choke transformer and a steel rail and extracting 50 Hz components of the line parameters; when the system is used, the absolute value and the flow direction state of rail backflow current are mastered in real time, a rail transmission line mathematical model is utilized, real-time quantitative monitoring of the train shunt state is achieved, and continuous spectrum tracking of a target frequency point is achieved through sliding Fourier transform; the method achieves the purpose of monitoring traction rail backflow, dynamic shunt resistance and adjacent line interference on line at the same time, carries out comprehensive analysis based on monitoring data, facilitates the improvement of the sensitive detection capability of abnormal shunt behaviors, eliminates the influence of adjacent line interference, can achieve multi-frequency-point signal extraction only through one current transformer, and improves the detection efficiency. And the hardware complexity and cost can be reduced.

A railway vehicle monitoring and signaling system 30 includes trackside devices (e.g. track circuits 36 and signals Sx, Sy) for reporting Safety Integrity Level 2 (SIL2) data regarding the presence or

The invention relates to the technical field of turnout snow melting heating control, in particular to a railway turnout snow melting intelligent control method and system.The method comprises the following steps that forecast information representing that a vehicle is about to arrive at a turnout is obtained, and an electric heating element of the turnout is divided into a core heating area and a conventional heating area; executing a first heating mode based on the forecast information, the first heating mode intensively applying heating power to the core heating area; the track circuit occupation state of the turnout is monitored, and the actual occupation time of the track circuit occupied by the vehicle is recorded; after the occupation state of the track circuit of the turnout is relieved, the first heating mode or the second heating mode is stopped; the heating of the core area is started in advance based on the train forecast information, and the core area and the conventional area are switched to be heated together when the train is occupied for a long time, so that the problem of instantaneous and local secondary freezing caused by passing of the train is effectively solved.

Disclosed are a control method and system for a level crossing device. The method comprises: dividing a level crossing train track into a plurality of track sections; obtaining a section state of each of the plurality of track sections; converting the section state of each track section into a logic variable, and, on the basis of the logic variables, determining a train travel state on the level crossing train track; and, on the basis of the train travel state, controlling a level crossing device on the level crossing train track. The control method for a level crossing device provided in the present invention is compatible with multiple requirements. On the basis of actual conditions and needs, the opening and closing of the level crossing can be automatically controlled using train running position, axle counting detection, and track circuit detection, and by receiving position information provided by an interlocking device, position information provided by an adjacent safety level crossing control system, and position information provided by an approach notification relay. The method includes group control functionality for adjacent level crossings within a region, and is configured with a manual control panel to provide emergency manual control capability.