1376results about "Signalling indicators on vehicle" patented technology

A system and method generate a trip plan for a trip of a vehicle system along a route. The usage of an engine during the trip is determined based on engine operational parameters, energy storage device operational parameters, and one or more objectives of the trip desired to be achieved. The usage of the energy storage device during the trip is also determined based on the engine operational parameters, the energy storage device operational parameters, and the one or more objective, including when to charge or discharge the energy storage device during the trip.

According to the novel transponder and the Beidou short message-combined realization function and application method and system, multiple functions are realized by utilizing multiple combinations of ground and vehicle-mounted transponder system equipment, the novel transponder can be applied to multiple scenes, the equipment types can be simplified, the construction cost can be reduced, and the maintenance workload can be reduced; beidou positioning and short message functions, positioning and communication of wireless communication and the like are used as supplements to perfect train operation control and other functions, and the transportation efficiency and safety are improved.

The invention discloses a bullet train section / bullet train station remote shunting system and method, and belongs to the technical field of high-speed railway train operation control. By additionally arranging a ground remote control server, a remote console, a vehicle-mounted remote control unit, a dormancy awakening unit, an environment sensing unit and other devices and combining an ATP / ATO system and a 5G communication technology, the functions of automatic dormancy awakening, remote driving and unmanned shunting of the motor train unit in a motor train section / a motor train station are achieved. The problems that traditional manual shunting is high in labor intensity, low in efficiency and multiple in potential safety hazards are solved.

The invention discloses a train protection zone processing method based on a train-to-train communication architecture, which comprises the following steps that: an ATP (Automatic Train Protection) of a fault train submits an application for requesting to establish a protection zone to an RC (Remote Control), and the RC sends inquiry information to all trains which establish communication with the RC in a control zone of the RC; after receiving inquiry information of the RC, the trains check the relation between the trains and the protection area and reply, and if all the trains reply to agree to establish the protection area, the RC establishes the protection area; according to the distance between the train inside and outside the protection area and the fault train and the corresponding driving direction, the running state of the train is determined; the running state is emergency braking or continuous running; and after the fault train does not report derailment to the RC or an obstacle exists on the track, the protection area of the fault train is cancelled. The safety and efficiency of train operation are improved.

The invention discloses a rail transit multi-system fusion platform, and relates to the technical field of intelligent operation and maintenance of rail transit vehicles, and the platform comprises a fusion platform host, a communication switch, an application system and terminal equipment thereof. The core of the system is that logic functions of all application systems are packaged in an SDK mode, interaction with a fusion platform host is achieved through a unified API interface, computing power sharing of hardware resources such as an AI module and an MPU module in the host is achieved through a 10-gigabit PCIE bus, a SWITCH switch module dispatches data transmission in a unified mode, the independent computing capacity of a subsystem is reserved, and the data transmission efficiency is improved. By means of the framework, the newly-added system does not need to additionally deploy a host, the function can be expanded only by accessing terminal equipment meeting the standard, the limitation that in a distributed framework, hardware needs to be added to the newly-added system is effectively solved, and elastic reuse of the hardware resources is achieved.

A method for generating an auxiliary troubleshooting strategy for communication faults of a locomotive power battery system. The method comprises: acquiring a communication fault troubleshooting record of a locomotive power battery system; extracting fault causes at various levels for each type of communication faults, and establishing a fault tree; when there is a specific alarm communication fault, determining the time type and duration of the communication fault, and intercepting a fault subtree of the alarm communication fault; qualitatively analyzing the fault subtree to obtain a minimum cut set; quantitatively analyzing the fault subtree to obtain critical importance degrees of bottom events, and ranking same in a descending order; correcting the ranking of the importance degrees of the bottom events, so as to form a bottom event importance degree ranking table; and successively performing troubleshooting on the basis of the bottom event importance degree ranking table. Auxiliary troubleshooting strategies for communication faults are provided accurately, which improves the efficiency and accuracy of troubleshooting communication faults by maintenance staff, and helps to take corresponding maintenance measures, thus improving the utilization rate of new energy locomotives, and reducing downtime costs.

The invention discloses a train fault state detection method and system based on artificial intelligence, and relates to the technical field of train fault state detection. The method comprises the steps that multiple types of sensors are arranged at key parts of a train, state data such as temperature, vibration, electricity, energy consumption and noise are collected in real time, local receiving, preprocessing and wireless uploading of the data are achieved by means of a mobile terminal, and a cloud platform conducts multi-dimensional analysis and fault recognition through an artificial intelligence algorithm on the basis of a health assessment model. According to the train fault diagnosis system and method, health indexes and early warning information are generated and pushed to operation and maintenance personnel in real time, the system supports overhaul process recording and multimedia information uploading, information archiving and analysis tracing are achieved, the accuracy and response efficiency of train fault diagnosis are remarkably improved, the operation and maintenance cost is reduced, and the safety and intelligent level of a railway system are enhanced.

The invention discloses a heavy haul train automatic driving curve planning method, electronic equipment and a storage medium. The method comprises the steps that a DP state transition table is loaded, and a plurality of initial states, a plurality of actions capable of being adopted in each initial state and a transition state capable of being reached by each action are defined in the DP state transition table; acquiring a protection curve as a speed limit line, and drawing according to the protection curve to obtain a guide line; performing curve planning by taking N DP step lengths as a cycle, for each DP step length, sequentially traversing each migration state corresponding to the initial state of the DP step length from top to bottom in the DP state migration table, and performing judgment based on a speed limit line and a guide line to obtain respective target migration states of the N DP step lengths; and generating a speed-mileage planning curve of the train according to the final speed of a differential interval obtained by performing dynamic differential calculation by adopting the action corresponding to the target migration state of each DP step length. According to the invention, the planning success rate and fault tolerance can be improved.

The invention discloses a multi-vehicle cooperative intelligent marshalling speed regulation method for railway transportation of power batteries. The method comprises the following steps: establishing state characteristics of each transportation truck, and constructing a position sensitive damage cost function for evaluating the risk cost of each truck at different marshalling positions according to the state characteristics; in the railway vehicle transportation process, an event-driven time pane dynamic optimization method is adopted, a vehicle marshalling and train speed control curve is dynamically updated according to state parameters collected in real time, and in the optimization process, a variable damping distribution strategy of a coupler and a cooperative vehicle speed curve generation algorithm are adopted, so that the train speed control curve is dynamically updated. Meanwhile, time dispersion is carried out on coupling impact events through an impact time peak shifting strategy; and when the comprehensive risk index of any transport truck exceeds a preset threshold value, an emergency re-marshalling strategy based on the energy absorption remaining amount of the battery packaging unit and the coupler health degree is executed. The method can comprehensively consider the thermal characteristics of the power lithium battery, the dynamic response of the vehicle and the risk evolution.

The invention relates to the technical field of railway locomotives, and particularly discloses a railway loosening alarm system and a traction device loosening alarm method.The system comprises a redundancy monitoring assembly, a signal collecting assembly and an alarm control element, the redundancy monitoring assembly comprises a displacement monitoring module and a mechanical triggering module, the displacement monitoring module is used for monitoring displacement of a traction base, and the mechanical triggering module is used for triggering the mechanical triggering module; the mechanical triggering module comprises a mechanical triggering piece arranged on the traction seat, the mechanical triggering module is used for generating a second alarming signal when the mechanical triggering piece is broken, and the signal collecting assembly is used for collecting vibration and acoustic emission signals of the traction seat. When the vibration and acoustic emission signal exceeds a threshold value, a third alarm signal is generated, and the alarm control element is used for receiving the first alarm signal, the second alarm signal and the third alarm signal and giving an alarm; the method applies the system. The system can carry out real-time monitoring and timely grading early warning on loosening of the traction device.

The invention discloses a railway driver driving behavior monitoring method based on artificial intelligence. An artificial intelligence processing unit completes hardware interface initialization; the integrated wireless equipment of the railway locomotive sends a network IP address and equipment identification information of the main control end to a host process of the artificial intelligence processing unit; a host process of the artificial intelligence processing unit initiates a video stream pulling request to a digital camera at a corresponding end through an RTSP protocol; the main process of the artificial intelligence processing unit receives the RTSP code stream and then decodes the RTSP code stream into a picture in a JPEG format, the image is cut and zoomed, and complete metadata information is added for each picture; three reasoning processes of the artificial intelligence processing unit run in parallel, and each process performs targeted reasoning detection on the decoded JPEG picture and metadata based on a self-loaded model: a main process receives a reasoning detection result, performs comprehensive judgment in combination with a preset threshold value and an abnormal state duration, and sends the result to the main process; triple alarms of local reminding, driver informing and remote monitoring are realized, and the driving behavior of the driver is standardized.

This invention discloses a method for acoustic emission signal recognition, comprising the following steps: collecting acoustic emission signal data generated during axle operation; preprocessing the collected signal data; importing the preprocessed signal data into a network recognition module, and using a pre-trained improved one-dimensional CNN network model in the network module to identify and analyze the imported signal data; and outputting the recognition result. This invention also discloses a model training method for training the improved one-dimensional CNN network model. This invention is applicable to the field of train fault diagnosis, enabling the identification of acoustic emission signals from train axles after acquisition and real-time monitoring during axle operation. It can extract higher-level signal features from the original acoustic emission signals through a deep network architecture and possesses good fault identification capabilities.

A kind of railway driver driving behavior monitoring method based on artificial intelligence, artificial intelligence processing unit completes hardware interface initialization;Railway locomotive comprehensive wireless device sends the network IP address of main control end, device identification information to the main process of artificial intelligence processing unit;Artificial intelligence processing unit main process initiates video stream pull request to the digital camera of corresponding end by RTSP protocol;Artificial intelligence processing unit main process decodes into JPEG format picture after receiving RTSP code stream, trims zoom image, adds complete metadata information to each picture;Three inference processes of artificial intelligence processing unit run in parallel, each process is based on the model loaded by itself to decode the JPEG picture and metadata for targeted inference detection:Main process receives inference detection result, carries out comprehensive judgment in conjunction with preset threshold and abnormal state duration, realizes local reminder, driver notification, remote monitoring triple alarm, standardizes driver driving behavior.

The invention discloses a car coupler state detection and execution control circuit and a car coupler automatic picking and hanging system and method, and relates to the technical field of railway vehicle automation control, and the car coupler state detection and execution control circuit comprises a state detection unit which comprises a plurality of non-contact sensors arranged at different detection positions of a car coupler; the safety execution unit comprises a 2oo2 interlocking structure formed by a first relay and a second relay which are connected in series, a through-type Hall current sensor arranged on a main loop between the first relay and the second relay, and a third relay for controlling the extension and retraction directions of an electric push rod; the power supply management unit comprises a 24VDC power supply input terminal, a fuse, a reverse connection protection diode and a surge suppression TVS (Transient Voltage Suppressor) tube; wherein the output end of the state detection unit is connected to the input port of the controller, and the output port of the controller is connected to the control end of the safety execution unit. The safety of the system is improved through a hardware-level redundant architecture, and the reliability of coupler state detection is improved through multi-sensor fusion.

The invention relates to the technical field of rail traffic control, in particular to a novel APM train marshalling control method and system.The method comprises the steps that a marshalling selection switch with four fixed gears is arranged; collecting a train gear state to construct a marshalling state vector; calculating a permission contact state of each vehicle according to a preset rule; a unified state confirmation signal is generated. Compared with the prior art that a mode of realizing marshalling identification by depending on a software bus or fixed marshalling is difficult to realize hardware closed-loop identification and flexible and efficient train marshalling in a multi-train flexible marshalling scene with changeable passenger flow, the method provided by the invention has the advantages that a physical logic loop detection mechanism is adopted; strong coupling of marshalling configuration and state judgment is achieved, and marshalling flexibility and operation safety of the APM train system are improved.

The invention discloses an intelligent control method and system for a train based on a slip scene, and relates to the technical field of intelligent control, and the method comprises the steps: determining a corresponding slip compensation distance based on the event content of a slip control event, a slip data combination of wheels and corresponding speed data; and according to the slip compensation distance, the corresponding slip position deviation amount and the corresponding slip virtual distance, an intelligent control system of the train in the slip scene is determined, and the accuracy of the intelligent control system of the train in the slip scene is improved. Determining a plurality of slip positions based on the intelligent control system, the slip state of the train and the movement event of the wheels, and determining a signal loss event of the train according to the plurality of slip positions and the movement path of the train; the protection area of the train is determined according to the signal loss event and the trackside subsystem, the running mode of the train is determined based on the protection area of the train, the current speed of the train and the corresponding working state, and the accuracy of the running mode of the train is improved.

Systems and methods are provided for ultra-wideband (UWB) based navigation of arbitrary paths based on reference markers. A train-mounted unit may be configured to, when deployed on a train, communicate with any wayside unit, from a plurality of wayside units configured for placement on or near tracks in a railway network, that comes within communication range of the train-mounted device, with the communicating including use of ultra-wideband (UWB) signals, and generate based on communication, train location information, with the generating of the train location information including determining based on processing of communicated UWB signals with at least one wayside unit, range to the at least one wayside unit, and determining based on the determined range to the at least one wayside unit, change in range (ΔR) to the at least one wayside unit and change in location (ΔL) on a track in the railway network.

According to the novel transponder device and the method and device for achieving multiple functions through power line carrier communication, multiple functions such as train positioning and speed measurement, station track occupation recognition, train occupation and integrity check and train-ground communication are achieved through the novel transponder device and the power line carrier communication, and wireless communication technologies such as the power line carrier communication are integrated; the method can be applied to train operation control, train-ground coordination action, locomotive vehicle information management, unmanned stations and train state monitoring in various scenes, can simplify the types of equipment, reduces the construction cost and the maintenance workload, and improves the transportation efficiency and safety at the same time.

The invention discloses a train safe driving guarantee control system based on the Internet of Things, and particularly relates to the field of train safe driving. Comprising a multi-node data interaction screening module, a data space-time alignment association module, an ice and snow environment comprehensive influence quantification module, a wheel-rail contact stability dynamic evaluation module, a safe driving boundary dynamic calculation module, a multi-dimensional control strategy execution module and a dynamic closed-loop feedback optimization module. The multi-node data interaction screening module is used for constructing a multi-node interaction link through a wireless communication technology to obtain multi-dimensional data and screening effective parameters; according to the method, the multi-dimensional space-time association data matrix is constructed through multi-node real-time interaction and in combination with the space-time alignment technology, the problems that data fragmentation is caused, space distribution monitoring is insufficient, and the global state is deduced only depending on single-point data are solved, the ice and snow environment assessment accuracy is improved, and reliable data support is provided for accurate control of a train.

The invention relates to a method, equipment and extended application for realizing multiple functions and scenes by using a novel transponder, belongs to the field of rail transit, optimizes the performance and simplifies the equipment type by utilizing the combination of the novel transponder or induction loop ground and vehicle-mounted equipment and adopting a new technology, and realizes power-down operation through an energy storage unit and a charging technology. A redundant train positioning and occupation checking method is realized through train-ground wireless communication, multiple functions are realized, and the method is applied to different scenes.

A method for ensuring the standstill of a rail vehicle, in particular ensuring the standstill of the rail vehicle for safety reasons, uses a vehicle controller of the rail vehicle having an electronic control system in order to implement driving commands and standstill commands in the rail vehicle. In addition, a monitoring instance is used, which is independent of the control system and which detects a movement of the rail vehicle, compares the detected movement with a valid driving command of the vehicle controller and, in the case of a deviation, initiates braking of the rail vehicle independently of the control system in order to bring the rail vehicle to a standstill.

The invention relates to a locomotive monitoring method, device and equipment based on digital twinning and a storage medium. The method comprises the following steps: acquiring real-time running state data of a locomotive and external environment data of the locomotive; performing target association on the real-time running state data of the locomotive and the external environment data of the locomotive to obtain a multi-source heterogeneous data set; according to a preset fatigue damage accumulation model and locomotive real-time operation state data in the newest digital twinborn body, obtaining a service life prediction value of each target part of the locomotive, and displaying the service life prediction value through the digital twinborn body; and according to the service life prediction value of each target part of the locomotive, determining monitoring information of each target part of the locomotive and feeding back to a locomotive operation and maintenance system. By adopting the method, real-time monitoring, accurate prediction and intelligent maintenance decision making of the operation state of the locomotive can be realized, and the operation and maintenance efficiency and safety of the locomotive are remarkably improved.

A locomotive has DC or AC traction motors, powered by a hydrogen fuel cell, and optionally other sources such as regenerative braking. The traction motors of the locomotive may be connected to a set of independent DC choppers or AC inverters, linked via a common DC bus, configured to regulate power from the one or more power sources. A manager module, among other functions, may receive inputs and signals to coordinate delivery of electricity from the sources to the motor. A method for retrofitting a legacy locomotive may include removing a generator and a control apparatus configured for diesel fuel, and installing a kit of apparatus configured to be powered by a hydrogen fuel cell. A railway system for use by locomotives powered by hydrogen has one or more hydrogen-generation stations deployed near a track of the railway system.

Systems and techniques for generating track geometry data (TGD) for railroad track analysis. In embodiments, rail profile data for each of the rails of a track may be obtained at regular intervals as a vehicle carrying the system traverses the track. The rail profile data may be validated, and reference points on the profiles of each of the rails corresponding to specific geometric features of the rails may be identified. The rail profile data may be filtered and processed to generate track geometry data. The track geometry data may include data for a plurality of data channels. The track geometry data may be transmitted to a backend system receives for further processing to determine rail defects, and to generate notifications and alerts based on the determined defects. The system utilizes machine learning algorithms and models for defect detection and validation.

The invention provides a multi-modal intelligent diagnosis method and system for temperature vibration of a high-speed rail bearing based on a working condition spectrogram, and relates to the technical field of intelligent diagnosis, and the method comprises the steps: synchronously collecting vibration, temperature distribution and phase angle signals of a bearing, and extracting a self-adaptive reference baseline in combination with an operation working condition; and obtaining a temperature vibration joint sequence through phase alignment, calculating a thermal vibration coupling intensity spectrum, and comparing the thermal vibration coupling intensity spectrum with a baseline to obtain circumferential deviation distribution. And after dynamic threshold correction, mapping the over-limit phase interval into a fault space coordinate on the bearing raceway, and determining a fault type according to frequency spectrum characteristics. According to the invention, accurate space positioning and type identification of high-speed rail bearing faults are realized, and the adaptability and accuracy of diagnosis are improved.

A system that includes a controller that may receive one or more input characteristics related to upcoming movement of a group of vehicles, the one or more input characteristics indicative of an amount of energy needed to move the group of the vehicles along a segment of a route. The controller may also calculate a threshold range of tractive effort needed to move the group of the vehicles along the segment of the route based on the one or more characteristics and to monitor the tractive effort expended by a propulsion-generating vehicle of the vehicles in the group to move one or more of the vehicles in the group, and determine whether the vehicles in the group are coupled with each other or whether two or more of the vehicles are not coupled with each other based on the tractive effort that is monitored and the threshold range.

The invention provides an unmanned train arbitrary end reconnection control system based on relay control, and relates to the technical field of rail vehicle train reconnection control. The unmanned train arbitrary end reconnection control system based on relay control comprises an electric hook connector, a reconnection conversion relay, a reconnection through relay and an electric hook connection relay. A first normally-open contact of the reconnection switching relay, a first normally-open contact of the electric hook connection relay and a normally-closed contact of the reconnection through relay are used for being connected between a preset forward voltage and a grounding point in series, and a first contact piece and a third contact piece of the electric hook connector are connected with the preset forward voltage. A second normally-open contact of the reconnection straight-through relay, a second normally-open contact of the electric hook connection relay and a normally-closed contact of the reconnection switching relay are connected between the second contact piece and the grounding point in series, the electric hook connection relay is connected between the fourth contact piece and the grounding point in series, and the wiring end of the fifth contact piece of the electric hook connector is connected with the wiring end of the sixth contact piece of the electric hook connector. The train reconnection efficiency can be effectively improved.

The embodiment of the invention provides a railway vehicle-mounted sensing system data acquisition system and method based on multi-source triggering, and the system comprises a satellite communication system which is used for obtaining the current position information of a train in real time; the vehicle-mounted ATO system is used for acquiring current state information and running condition information of the train; the ground trackside sensing unit is used for sensing the ground trackside environment through sensing equipment deployed along the railway and acquiring ground trackside environment sensing information; the vehicle-mounted sensing system is used for sensing a headroom area in front of running of a train through a vehicle-mounted sensor, acquiring sensing information of the headroom area in front of running, acquiring information of the satellite communication system, the vehicle-mounted ATO system and the ground trackside sensing unit, and sending the information to the data acquisition cloud platform; and the data acquisition cloud platform is used for acquiring the information sent by the vehicle-mounted sensing system, performing data summarization, and issuing data acquisition triggering information to each train according to data acquisition requirements based on the summarized data.

The invention provides a locomotive automatic driving risk detection and emergency disposal system based on environmental perception, and the system comprises a personnel perception system which is used for carrying out the perception and detection of the behaviors of safety personnel in a locomotive cab, and outputting a first detection result; the operation environment sensing system is used for sensing and detecting the operation track and / or the operation environment of the locomotive and outputting a second detection result; the automatic driving system is used for determining the current operation risk level of the locomotive according to the first detection result and / or the second detection result and outputting a control instruction according to the operation risk level; and the locomotive control system is used for executing the control instruction to complete locomotive operation and / or locomotive braking action. According to the invention, through a cooperation mechanism among the systems, timely detection and rapid response of potential risks are realized, the safety and reliability of locomotive automatic driving are greatly improved, and a powerful guarantee is provided for stable operation of rail transit.

The invention relates to a rail transit technology, in particular to a train adhesion sensing method and system. When the train system works in a traction, coasting or electric braking working condition, starting an adhesion sensing mode, configuring an adhesion sensing shaft, and detecting the speed of the train; when the train speed is larger than a first train speed threshold value, the current of the adhesion sensing shaft is controlled, so that the traction force or the electric braking force of the adhesion sensing shaft is balanced with the adhesion force of the adhesion sensing shaft; the traction force or the electric braking force of the adhesion sensing shaft is calculated, and the adhesion coefficient of the adhesion sensing shaft is calculated according to the traction force or the electric braking force; the adhesion coefficient of the adhesion sensing bogie is calculated according to the adhesion coefficient of the adhesion sensing shaft, and the adhesion coefficient of the whole train is calculated according to the adhesion coefficient of the adhesion sensing bogie. According to the method, the adhesion condition of the wheel track in the train operation process is sensed in real time, compared with an existing operation design according to a fixed adhesion coefficient, accurate line state information is provided for train operation, and the safety and efficiency of train operation control are improved.