79 results about "Freight trains" patented technology

The invention relates to a freight train future speed prediction method and device based on brain-like acceleration and a medium, the method inputs obtained freight train related data into a speed prediction model, a freight train future speed prediction result is output, the speed prediction model adopts a three-level network structure of an MLP encoder-Transformer encoder-MLP decoder, and the speed prediction model is used for predicting the freight train future speed. After the MLP encoder encodes the two paths of input respectively, the two paths of input are input into the Transform encoder for spatio-temporal feature extraction, decoding is carried out through the MLP decoder to obtain a prediction result, the forward propagation process of the Transform is converted into a brain-like instruction sequence, and the brain-like chip is controlled based on the brain-like instruction sequence to carry out operation so as to realize accelerated prediction. Compared with the prior art, the method has the advantages that the static characteristics can be dynamically processed in a time sequence mode, and the prediction efficiency can be improved by fully utilizing the brain-like chip.

The invention relates to a freight train inspection method, device and equipment and an inspection robot. The method comprises the following steps: acquiring inspection environment data corresponding to a to-be-inspected freight train of an inspection robot, wherein the inspection environment data comprises image data and point cloud data; performing path planning processing according to the image data and the point cloud data to obtain a target inspection path from the current position of the inspection robot to the target inspection site; and controlling the inspection robot to go to the target inspection site based on the target inspection path, performing inspection from the target inspection site to obtain target inspection data, and sending the target inspection data to the master console. By adopting the method, the inspection reliability can be improved.

The invention discloses a method for predicting the temperature of an unsteady-state tread brake wheel shoe on a long and large ramp of a railway wagon. The method comprises the following steps: constructing a transient heat transfer finite element model of the wheel shoe; writing a train speed and thermal boundary condition calculation subprogram based on an electric-pneumatic hybrid braking model of the freight train, and integrating the subprogram into a finite element model to realize coupling of train speed calculation and wheel tile transient heat transfer calculation; temperature monitoring points are arranged on wheels and brake shoes respectively, temperature signals are transmitted to the subprograms, and a wheel shoe temperature monitoring module is constructed; the judgment results of the train speed and the wheel tile temperature are associated with tread braking and electric braking parameters through subprograms, and a train braking control module based on feedback control is constructed; inputting train marshalling, brake control, line information and environment information parameters, and calculating temperatures of wheels and brake shoes; according to the method, the problems of wheel tile temperature checking and braking strategy design of freight train long and large ramp tread braking are solved.

The invention relates to a train, in particular a freight train, with a plurality of wagons coupled to one another by mechanical couplings; with a main air line extending through the carriages via coupled air couplings at axial ends of the carriages facing each other and coupled to each other by mechanical couplings; with shut-off devices that include shut-off valves arranged in the area of ​​the air couplings in order to selectively release and pressure-tightly shut off the main air line at the air couplings. The train according to the invention is characterized in that the shut-off valves are designed as air valves that are at least indirectly electrically actuated.

The application discloses a kind of freight train image detection method and system based on Doppler vibration coupling perception, it is related to railway freight car fault monitoring technical field.Joint state vector is constructed by collecting train bogie image, vibration data and Doppler frequency shift and signal-to-noise ratio of millimeter wave communication;Vibration feature map is generated by Fourier transform to vibration data, and spatial attention map is generated to enhance image features;Doppler frequency shift, signal-to-noise ratio and vibration intensity in state vector are used to dynamically calculate suppression threshold, anchor frame size and confidence threshold;Candidate box is generated using dynamic anchor frame size, and after screening by confidence threshold and deduplication by suppression threshold, component information is output.The communication physical layer parameters, mechanical vibration and image semantic depth are coupled, the adaptive adjustment of detection parameters is realized, the problem of high small target miss detection rate and poor detection stability in high-speed running scene is solved, and the fault recognition ability under complex working conditions is improved.

The adsorption type unhooking robot comprises a fixing device and an unhooking mechanical arm, and the fixing device comprises a 3-PRS assembly, an adsorption base assembly, a clamping arm assembly, a worm reducer assembly and a motor lead screw assembly. The device has good adaptability and stability, electronic devices such as an electronic ruler, an ultrasonic distance measuring sensor and a torque sensor are used in the fixing device, and data such as the extending distance of the air cylinder, the distance between the contact block and the corresponding face of the pedal and the clamping force applied to the surface of the pedal by the clamping arm assembly are fed back in real time; convenience is provided for feedback adjustment of the device, and the adaptability of the device is greatly improved. The acting object of the adsorption fixing device is a pedal, and the adsorption fixing device is widely applied to various freight trains and is a standard part, so that the fixing device can adapt to various train types.

The application discloses a freight train load calculation method and device. It is related to the field of railway technology, and aims to improve the operation efficiency of the train. The main technical scheme of the application is as follows: obtaining a specified control parameter value; using a load calculation module to calculate the load of the freight train in real time based on the specified control parameter value and a freight train motion formula. The application is used for calculating the load of the freight train.

The invention relates to the technical field of marshalling plans of freight trains, in particular to a digital platform for compiling a marshalling plan of a railway freight train, which establishes the digital compiling platform for the marshalling plan of the railway freight train and realizes intelligent definition of a group number range and intelligent generation of text description. The planning requirements of business personnel at all levels of the railway are met, the productivity is further liberated, and the production quality and efficiency are improved; according to the method, a planned route algorithm is designed, pre-judgment of a transfer technical station with reconciliation and without reconciliation in the cargo transportation process is achieved, and technical support is provided for intelligent compilation of a railway cargo train marshalling plan. The invention provides a marshalling plan intelligent compilation algorithm, the algorithm is composed of a basic traffic flow method, a path umbrella and a traffic flow convergence algorithm, and intelligent compilation of the marshalling plan of the marshalling station from far to near is realized according to the intensity of the marshalling traffic flow.

This invention discloses a freight train composed of sub-trainsets connected end-to-end. Each sub-trainset consists of a motor car that also functions as a freight car and a group of conventional freight cars it drives. The power supply and pneumatic braking systems of each sub-trainset are independent. Sub-trainsets can be separated from and joined to the main train, enabling rapid unloading and loading of freight. This rationally advances the regional division of labor between rail freight and road transport from arrival and departure hubs to intermediate stations, ensuring that most of the busiest railway lines within 150km can be rationally connected to road freight. This distributed train scheme allows for compact component specifications; it can adopt large-scale passenger car permanent magnet motor drive systems produced in large quantities, accelerating the realization of permanent magnet synchronization of railway drive motors; it uses rubber wheel drive frames, significantly improving the traction force per unit weight, thus multiplying the proportion of trailer-driven motor cars; it makes full use of existing freight cars and existing railways; these cost-saving measures comprehensively promote the "road-to-rail" shift in medium- and long-distance road freight.

The application relates to an automatic telescopic side protection device suitable for a truck train and the truck train, and belongs to the technical field of vehicles. The automatic telescopic side protection device suitable for the truck train comprises a side protection main body which is arranged between a tractor and a trailer. The side protection main body is configured to change its length following the angle of the tractor relative to the trailer. The application embodiment provides an automatic telescopic side protection device suitable for a truck train and the truck train. The side protection main body is arranged, the side protection main body changes its length following the angle of the tractor relative to the trailer, and then the side protection length can be automatically adjusted when the tractor turns, interference with the trailer is avoided, the vehicle body structure is effectively protected from damage, meanwhile, a pedestrian or a vehicle is prevented from entering the vehicle bottom through the gap between the tractor and the trailer, a rolling accident is avoided, and the vehicle and the pedestrian are protected and buffered.

The application discloses a freight train long and large slope brake cylinder exhaust control device and method, and relates to the field of train braking; the freight train pipe is provided with two train pipes, which are a train pipe and a second train pipe; the train pipe is connected with the total air cylinder of a locomotive through a locomotive brake, is used for providing compressed air to the brake of a connected vehicle, transmitting braking and relieving instructions, and the working state of the train pipe is controlled by the locomotive brake; the second train pipe is connected with the total air cylinder of the locomotive through a second locomotive brake, is used for providing compressed air to the brake of the connected vehicle, transmitting braking and relieving instructions, and the working state of the second train pipe is controlled by the second locomotive brake; and a control method is provided; the application is provided with two train pipes, and one additional train pipe is used for reserving and transmitting high-pressure air, and can be used for controlling the relieving time of the brake valve on a long and large slope.

The present application relates to a kind of freight train carriage cleaning robot, comprising: walking body, auxiliary transition body and cleaning device.The freight train carriage cleaning robot provided by the present application can clean train carriage by remote control or automatically.In addition to the traditional magnetic adsorption, push force assistance is also provided, and the air pipe can use the output airflow of negative pressure of three-axis rotating support, when the robot slides down due to insufficient adsorption force between the robot and wall, directly use the output airflow of negative pressure adsorption device to generate push force, so that the robot remains stable on the wall, improve the energy utilization efficiency, save cost, meet the actual application requirements.

1. Name of the product in this design: Railway Freight Train Inspection Robot. 2. Application of this design: Intelligent inspection of railway freight trains. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The invention provides a method and a device for monitoring longitudinal dynamic performance of a heavy-load freight train, and the method comprises the steps: carrying out time synchronization based on global navigation satellite system time and a network time protocol, and collecting signals of a force transducer, a vibration acceleration and a displacement sensor on a coupler; acquiring coupler longitudinal force, longitudinal vibration acceleration, coupler longitudinal displacement and coupler transverse displacement data of multiple sections of the heavy-load freight train on the basis of signals of the force transducer, the vibration acceleration and the displacement sensor; obtaining a transverse component force based on the coupler longitudinal force, the coupler transverse displacement and the coupler deflection radius; obtaining unit displacement longitudinal force based on the coupler longitudinal force and the coupler longitudinal displacement; by means of time synchronism, the distribution condition of the maximum value of coupler longitudinal force, longitudinal vibration acceleration, transverse component force and unit displacement longitudinal force of each section in the time period from pressure reduction to recovery of the truck pipe pressure is analyzed; and judging whether the longitudinal dynamic performance of the heavy-load freight train is normal or not according to the distribution condition.

The invention provides a cargo train control method and related equipment, and relates to the technical field of rail train control. The method comprises the steps that according to the forward direction of a train, the running mode of the current train is determined, and the running mode comprises long-end forward and short-end forward; determining a to-be-identified target ground transponder in the plurality of ground transponders based on the current parking type and the operation mode of the train; when the train runs until the target ground transponder is recognized, determining a target running distance required by the train to finish parking of the current parking category based on the running mode and the target ground transponder; and based on the real-time speed data and the target driving distance of the train, calculating the accumulated displacement of the train from the target ground transponder position in real time, and adjusting the real-time speed of the train so as to control the train to stop at the target position corresponding to the current parking category. According to the embodiment of the invention, high-precision and self-adaptive automatic parking control can be realized.

The application discloses a method and system for optimizing skylight and train diagram considering fluctuation demand, and relates to the technical field of skylight and train diagram optimization. The method comprises the following steps: obtaining the working state of track equipment, passenger and freight transportation demand, maintenance operation demand, passenger and freight train operation parameters, and maintenance operation cancellation cost parameters; constructing a skylight and train diagram optimization model considering fluctuation demand according to the above information; decomposing the initial model into a series of minimum cost sub-models by using a high-order term dimension reduction method and an alternating direction multiplier decomposition method; solving the minimum cost sub-models by using an improved heuristic algorithm based on an alternating direction multiplier framework, and outputting an optimal skylight scheme and train diagram under specific passenger and freight transportation demand. The application simultaneously considers passenger and freight train operation cost and maintenance operation cancellation cost, adjusts skylight length by changing the number of daily skylight maintenance operations, and flexibly matches passenger and freight transportation demand, so that the service level of trains is improved while the safety of railway transportation organization is ensured.

A freight railway-oriented group train cooperative control system and method are characterized in that according to a group plan, a plurality of freight trains in the same station track need to depart and run in a group mode, in-station group depart cooperative control is carried out, and after the group trains depart and before the group trains arrive at a running terminal point, station-passing cooperative control is carried out on the group trains; and when the group train arrives at a predetermined de-compiling position in the group plan, performing group train de-compiling cooperative control, and de-compiling the freight train which does not run in the group any more. Through distributed cooperative control and train-to-train communication, intelligent marshalling and cooperative operation of multiple trains during departure in the station, passing on the way and de-marshalling are achieved, the station operation process of the long and large marshalling freight train can be optimized, the line passing efficiency and the transportation density are improved, meanwhile, dependence on additional hardware equipment is reduced, and the working efficiency of the long and large marshalling freight train is improved. And efficient, safe and flexible heavy haul railway grouping operation control is realized by taking a software algorithm as a core.

The invention discloses an automatic driving control method for a heavy-load freight train, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining a basic braking force calculation formula of the train according to an air braking force calculation formula of the train, so as to compile a basic braking force characteristic curve of the train; by taking the traction characteristic curve of the diesel locomotive, the basic braking force characteristic curve of the train and preset operation conditions as constraints, generating a speed-mileage curve of the train and a corresponding operation sequence by utilizing a dynamic programming algorithm; and outputting the corresponding operation sequence as a real-time operation command by utilizing a model prediction control method, and sending the real-time operation command to the driver controller, so that the driver controller controls the train to run according to a speed-mileage curve. According to the method, the traction efficiency of the locomotive in the constant power interval can be fully exerted, the running efficiency loss caused by constraint mismatching is avoided, the method strictly fits the control specification, and the illegal operation risk is reduced.

The application relates to an ATP braking test method and device suitable for heavy freight trains. The method comprises the following steps: obtaining a locomotive braking system response to an ATP control instruction, a control demand time length corresponding to different pressure reduction amounts, and a control standard time length set by the ATP for the corresponding pressure reduction amounts; determining a braking test result corresponding to the corresponding pressure reduction amount according to the size relationship between the control demand time length corresponding to each pressure reduction amount and the corresponding control standard time length; and determining a target test result of the locomotive braking system according to the braking test result corresponding to at least one pressure reduction amount. The method can improve the braking test accuracy.

Inspection robots[Railway freight trains]

The invention discloses a relay valve with a kink characteristic and a braking method thereof. The relay valve comprises a control pressure cavity, a relay valve BC pressure piston, a BC pressure acting part, a kink valve piston and a kink valve pressure limiting part. According to the braking method, after the right cavity of the right piston enters pressure, the right piston reversely moves leftwards under the action of the pressure of the left cavity and the right cavity, under the heavy load condition, a BC pressure acting part valve port is closed under the action of the right piston, along with rising of control pressure, a kink valve pressure limiting part is closed, and the pressure in the right cavity of the left piston is constant; the pressure of the left cavity of the left piston is larger than that of the right cavity of the left piston, the left piston moves rightwards under the action of the pressure of the left cavity and the right cavity, a valve port of the BC pressure acting part is pushed to be opened through the right piston till the valve port is completely opened, and the kink action is finished. The invention has the beneficial effects of simple principle, compact structure and high product integration level, and can be used for an SS-pole truck which is only provided with a tread brake.

The invention provides a freight train opening scheme and freight rate collaborative optimization method based on a finite rationality behavior. The method comprises the steps of obtaining a utility coefficient and a foreground theoretical parameter which influence a shipper decision-making behavior; coding particle positions by using a freight rate discount coefficient, a cargo volume area discontinuity point and railway transportation time, and initializing a particle swarm; calculating a foreground value of each particle by using a finite rationality cargo quantity distribution model with operation income maximization as a target, and outputting distribution cargo quantity and railway operation income; inputting the distributed cargo quantity into a freight train operation scheme compilation model taking the operation cost minimization as a target, and outputting the railway transportation time and a freight train operation scheme by using a CPLEX solver; and feeding back the railway transportation time to the finite rationality cargo quantity distribution model, updating the position of each particle by taking the railway operation income as the particle fitness, and outputting a freight train operation scheme until the maximum income is reached. According to the method, the operation and income level can be integrally optimized while the demand prediction accuracy can be remarkably improved.

The present application belongs to the field of freight train control, and relates to obstacle identification technology, which is used to solve the problem that the single obstacle monitoring and identification means in the prior art cannot effectively deal with the obstacle identification avoidance of the whole process of freight train transportation, and specifically is a railway freight train adaptive asynchronous control system based on obstacle identification, which comprises obstacle monitoring modules, obstacle identification modules, response analysis modules and verification optimization modules connected in sequence, and the obstacle identification modules, the response analysis modules and the verification optimization modules are all connected with a database; the present application solves the problem of insufficient reliability of the single monitoring means in the prior art, improves the accuracy and anti-interference ability of obstacle detection through high-precision scanning of laser radar and quantitative analysis of obstacle value, provides a more reliable data basis for subsequent braking decision, improves the accuracy of obstacle identification through cross-validation mechanism, and automatically starts system self-checking and parameter optimization when the detection results conflict.

The invention provides a high-performance copper-based composite material and a preparation method thereof, and belongs to the field of material preparation. According to the invention, dendritic electrolytic copper powder is used as a matrix, graded SiCp is used as a reinforcing phase, secondary reduced foam iron powder is used as a friction adjusting component, graphite is used as a lubricating component, matrix / component collaborative design of morphology synergy, performance matching, process adaptation and function complementation is adopted, and double-motion mixing, bell jar type pressure sintering and cryogenic circulation grading aging treatment processes are combined, so that the wear-resistant and wear-resistant corrosion-resistant copper alloy material is obtained, and the service life of the wear-resistant and wear-resistant corrosion-resistant corrosion-resistant copper alloy material is prolonged. The technical problems that an existing brake material is high in raw material cost, poor in friction stability, large in brake noise and short in service life are effectively solved. The density of the prepared composite material is larger than or equal to 99.5%, the bending strength is larger than or equal to 430 MPa, the conductivity is larger than or equal to 48.2% IACS, the friction coefficient is stabilized to be 0.33-0.37, the abrasion loss is smaller than or equal to 0.25 cm / MJ, the braking noise is reduced by 15-20 dB, the service life is 30-400 thousand kilometers, and the composite material is suitable for multi-scene braking systems such as high-speed trains, medium-speed trains, subways, heavy machinery and freight trains with the speed being 350 km / h or above.

The application discloses a method for improving the synchronization of long and large train relief, which comprises the following steps: installing a wind storage cylinder in communication with a train pipe at the tail of the long and large train, wherein the pressure in the wind storage cylinder is greater than the pressure of the train pipe; obtaining a motion signal at the locomotive end, and storing wind in the wind storage cylinder or charging wind into the train pipe through the wind storage cylinder according to the motion signal, wherein the motion signal at least comprises a train braking signal and a train relief signal; and the application improves the synchronization of train relief and shortens the relief time by synchronously boosting the wind charging of the train pipe at the train tail; and the application solves the problems of slow wind charging of the train pipe of the freight train, especially the long and large train, long relief time, different relief synchronization, and large longitudinal impulse of the train.

The invention relates to a method for train initialization of a multiple-traction freight train comprising two traction vehicles, in particular two locomotives, and at least one freight wagon, wherein the two traction vehicles are each configured for multiple-traction control, each have local multiple-traction control components and each have a drive system and a brake system, wherein the local multiple-traction control components are each configured to interact with at least the drive and brake systems of the respective traction vehicle, wherein the two traction vehicles each have a superior multiple-traction control unit, wherein the two superior multiple-traction control units are configured toto communicate with each other via a wireless communication channel and to communicate with the respective local multiple traction control components of the same locomotive via a wired connection, wherein the multiple traction freight train is in an operating state after train initialization. The invention also relates to a multiple traction freight train, a multiple traction freight train system, a higher-level multiple traction control unit, a method for initializing a multiple traction train, a multiple traction train, and a multiple traction train system.

The embodiment of the application provides a railway freight train operation scheme optimization method and device under unbalanced transport capacity conditions, abstracts a station as a point, abstracts trunk line transportation, transfer loading and unloading, car bottom turnover and transportation demand as arcs, constructs a transportation service network according to the point and the arc, and is used for describing the transportation turnover process of a train; and based on the transportation service network, under a preset constraint condition, takes the maximum transportation net profit as a target function, adopts an adaptive disturbance mechanism to determine a train operation scheme, realizes optimization of the railway freight train operation scheme under the unbalanced transport capacity conditions, and improves railway transportation resource utilization.

The invention relates to a double-row double-side chained self-powered wireless monitoring system device and method based on a freight train wheel set, and belongs to the technical field of rail transit wireless monitoring. The invention discloses a freight train wheel set-based double-row double-side chain type self-powered wireless monitoring system device and method. The device comprises a flexible strain sensor module and a double-row double-side chain which are arranged on a rotating axle; a turbofan rotor power generation module, a high-efficiency flow increasing module and a Bluetooth communication module are arranged on the double-row bilateral chain, and power rectification modules are arranged in the high-efficiency flow increasing module and the Bluetooth communication module; alternating current generated by the turbofan rotor power generation module is subjected to alternating current and direct current conversion through the power rectification module and then provides stable voltage for the high-efficiency current increasing module and the Bluetooth communication module. According to the invention, the upper computer is directly used for monitoring the sensing signal of the flexible strain sensor module in real time, the acquisition, storage, real-time transmission of sensor data are realized, and the innovativeness of a generator system is improved.

The invention discloses a freight train shaft end multi-mode clutch control type energy recovery device and a using method, and belongs to the technical field of freight train energy recovery and operation safety. The freight train shaft end multi-mode clutch control type energy recovery device comprises an energy recovery unit, a vehicle-mounted independent power source, a power supply circuit, a locomotive auxiliary power source and a sensor; the vehicle-mounted independent power supply is connected with the energy recovery unit through a power supply line, and the vehicle-mounted independent power supply is also connected with the locomotive auxiliary power supply through the power supply line. By the adoption of the freight train shaft end multi-mode clutch control type energy recovery device and the using method, energy is effectively recovered and used for supplying power to the sensor.

The invention discloses an optical character recognition method and device based on deep learning and a medium, belongs to the technical field of computer vision and deep learning, and aims to solve the technical problem of how to overcome the defects of low recognition precision, low processing speed and poor adaptability to specific scenes in a complex environment of the existing OCR technology. The technical scheme adopted by the invention is as follows: the method comprises the following steps of: acquiring an original image of a railway freight train compartment code; the method comprises the following steps: performing contrast judgment and preprocessing, adaptive graying processing, local contrast enhancement processing, geometric correction and normalization processing, adaptive binarization processing and multistage morphological noise removal processing on original image data of railway freight train compartment coding to obtain a binarized image; and carrying out feature extraction on the binarized image through a multi-scale parallel convolutional network MSPCNN, introducing a channel attention mechanism, and dynamically adjusting weights of different scale features.