210 results about "Freight trains" patented technology

The invention relates to the technical field of rail traffic safety detection, in particular to a railway freight train key part online monitoring system based on an unmanned aerial vehicle, which comprises an unmanned aerial vehicle control module, a multi-modal data acquisition module, an edge calculation module, a central processing module and a feedback execution module. A dynamic three-dimensional grid flight path is generated by fusing a train Beidou positioning signal and a millimeter wave radar sensing result, a system is provided with an infrared thermal imager, a laser radar and a high-speed polarization camera, bearing temperature, train body point cloud and a train coupler image sequence are obtained, and temperature rise area identification, structural deformation extraction and coupling state modeling are completed on the edge side. The central processing module outputs a multi-dimensional safety assessment result, and the feedback module generates a compensation control instruction and a graded early warning signal based on the risk fusion index. The method has the advantages of being high in autonomy degree, high in recognition precision and high in response speed, and is suitable for full-time structural intelligent inspection and early warning of the freight train in a high-speed operation environment.

The invention discloses a railway freight train data acquisition method and system based on multi-sensor fusion, and relates to the technical field of railway transportation, and the method comprises the steps: detecting the operation state and position of a train in real time through wireless communication, and carrying out the self-inspection of each sensor when the train is detected to be about to enter a monitoring region; constructing a three-dimensional health state model of the train through three-dimensional reconstruction and synchronous positioning according to the comprehensive state data of the train; in combination with a three-dimensional health state model and a side cloud collaborative architecture, layered processing and dynamic optimization of train comprehensive state data are accelerated by using a quantum algorithm, and abnormal features are identified in real time; the abnormal features are analyzed through deep learning and a time sequence analysis algorithm, and alarm information is generated and fed back to the edge computing terminal; according to the method, the running state of the train and the cargo state data are deeply fused through the convolution operation of the three-dimensional health state model and the space-time diagram, so that the global perception capability of the data 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 invention relates to the technical field of railway freight train technical inspection, in particular to a rail system for movement of a wagon bottom inspection robot, which comprises a robot and a robot rail, a groove is formed in the surface of the robot rail, a rail clamping device is arranged at the bottom of the robot, and a polyurethane outer ring bearing is mounted on one side of the rail clamping device. The polyurethane outer ring bearing is located in the groove, and the rail clamping device is connected to the surface of a robot rail in a clamped mode. When a robot inspects the bottom of a preset truck on the robot track, the polyurethane outer ring bearing is always located in a groove in the surface of the robot track, and the robot is prevented from derailing; the non-metal outer ring bearings of the rail clamping devices make contact with the side faces of the robot rails when the robot moves, so that the non-metal outer ring bearings of the rail clamping devices are located in the grooves in the side faces of the two robot rails all the time, the robot cannot be separated from the robot rails, the robot is prevented from being damaged due to derailing, and the working efficiency of the robot is improved.

The invention relates to the technical field of train operation optimization, and discloses an air braking efficiency uncertainty-oriented freight train operation optimization method, which comprises the following steps of: generating a state value function approximate value and a working condition selection set by adopting a constraint-based state value function table learning algorithm according to an initial state and a disturbance sampling value of a freight train; according to the state value function approximate value and the working condition selection set, a state value function table approximate algorithm based on operation time estimation is adopted to generate an operation time approximate value and an operation time estimation value; and according to the operation time approximate value and the operation time estimated value, a freight train operation sequence meeting the air braking constraint, the speed limit constraint and the operation time limit is generated by adopting an operation optimization algorithm meeting the time constraint. According to the method, the freight train operation sequence meeting various constraints can be calculated in a short time, meanwhile, the influence caused by uncertain disturbance is reduced, and the overall optimization effect of the calculation result is improved.

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 present invention belongs to the field of train control. Provided are an automatic speed-limited operation method, system and device. The method comprises: a ground device respectively determining detection areas for an electric multiple unit and a freight train which are about to meet; and on the basis of an overlapping range between the detection area for the electric multiple unit and the detection area for the freight train, the ground device controlling the electric multiple unit to perform temporary speed limiting / normal driving / revocation of speed limiting. In the automatic speed-limited operation method, system and device of the present invention, the system can automatically identify the position where a passenger train and a freight train are about to meet and the related trains, and automatically trigger, in a timely manner, speed-reduced operation of the high-speed passenger train, thereby effectively guaranteeing safe operation of the high-speed passenger train; a safety control technical method is used for implementation, and the existing manual management method is replaced, thus achieving the characteristics of being safer, more reliable and more automatic; and the implementation method in the present invention is realized on the basis of the existing train-ground wireless communication system architecture and is realized only by means of software optimization and adaptation instead of hardware modification, thereby having broad implementability.

According to the braking interface, the braking system and the braking method suitable for the heavy-load freight train, a front contact of a relay is connected to a dry contact of the locomotive braking system in parallel, after a main control computer breaks down or loses external power, the relay loses power, the front contact is disconnected, and then the dry contact is disconnected; and the unexpected emergency braking command cannot be output to the train, so that the potential safety hazard that the main control computer outputs the unexpected emergency braking command to the normally running heavy-load freight train due to failure or loss of external power is solved. Meanwhile, a sound-light alarm device is additionally arranged, and the lowest equipment list of the main control computer is automatically checked before the train is put into operation, so that the automatic protection function of the train is ensured to still conform to the fault-safety principle specified by the TB / T 2615-2018 railway signal fault-safety principle.

The invention relates to the technical field of train operation scheduling, in particular to a passenger and freight train collinear operation-oriented operation diagram and speed curve integrated generation method. According to the scheme, the running charts and the speed curves of the passenger and freight trains are optimized, the waiting time of the trains on the way is shortened to the maximum extent, resource allocation is optimized, the operation cost is saved, the overall utilization rate of the line is increased, safe running of the passenger and freight trains in the collinear process can be guaranteed, and the overall utilization rate of the line can be increased.

The invention relates to the technical field of artificial intelligence, in particular to a railway freight train adaptive asynchronous control method based on artificial intelligence. The method comprises the following steps that train running data are collected through a train sensor, train running and track linkage processing and train running real-time positioning detection are carried out, and train running-track linkage data and train running real-time positioning data are generated; acquiring train driving planning data; carrying out train running schedule design based on the train running planning data and the train running real-time positioning data, and generating train running schedule data; and based on the train running real-time positioning data, the train running-track linkage data and the train running schedule data, train carriage running state and train traction linkage analysis and train self-adaptive asynchronous control instruction setting are carried out, and train self-adaptive asynchronous control operation is executed. According to the invention, self-adaptive asynchronous control of the train is realized.

The invention provides a freight train speed control method, an electronic device and a medium, and the method comprises the steps: building a freight train simple substance point time-delay model, predicting the control quantity of a freight train after a certain time delay through combining the current control quantity and a target speed, eliminating the transmission delay of the control quantity in a freight train system, and improving the speed of the freight train. The purpose of reducing overshoot of a speed tracking curve is achieved; by adding observation on a total disturbance differential value in the expansion observer, the speed tracking and control precision is improved, and the accurate estimation on the total disturbance of the freight train when the freight train runs on a complex line is improved; the anti-slip control of the freight train is realized by combining the creep rate observed by the unscented Kalman filter, the slip phenomenon of the freight train is prevented, the anti-interference capability of the freight train is improved, the tracking and anti-slip control of the target speed are realized, and the speed control and operation stability of the freight train is improved.

The invention discloses an online monitoring system and method for the air braking performance of a long marshalling freight train, and the system comprises a power module, a pressure monitoring module, a vibration monitoring module, a data storage and transmission module, and an upper computer. Dynamic change data of pressure of a braking system and vibration data of a braking valve in the braking process are obtained through a pressure monitoring module and a vibration monitoring module, a truck is organized into a group for a loaded truck experiment, and a truck air braking prediction model is built by means of Matlab simulation software and carried on a train monitoring platform. Prediction values of pressure of all pipelines and cylinder bodies of a braking system are returned to be compared with real pressure values, the leakage rate of the pressure values of all the pipelines and the cylinder bodies, whether the 120 valve effect is good or not and whether braking and relieving delay of a train are normal or not are analyzed and evaluated, and safety early warning is given out when abnormal conditions occur. The method can be used for monitoring the state of the heavy-load train and has application value in the early warning aspect of a train braking system.

The invention relates to a railway freight train brake state on-line monitoring method and system, and the method comprises the steps: obtaining the brake state of each train in a running or static train, and obtaining the brake state data of the corresponding train; according to the train brake state data, the brake states of all the vehicles at the same moment are longitudinally compared, the vehicles with the brake states different from those of most of other vehicles in the same train are judged and determined as the vehicles with the abnormal brake performance, and the vehicle numbers and sequence information of the abnormal vehicles are obtained in the train running process; the vehicle with the abnormal brake state can be simply, conveniently, rapidly and accurately obtained, early warning is timely carried out, workers are reminded of handling, fault hidden dangers are eliminated, and the safety and reliability of train operation are improved.

The invention provides a freight train air-power joint multi-target manipulation optimization method, and relates to the technical field of rail transit operation control and energy-saving optimization, and the method comprises the steps: setting training parameters, vehicle information and freight train line information, and initializing a reinforcement learning environment and variables; calculating a selection action by utilizing a strategy function; decomposing the action vector to obtain a new state; calculating the state value of the new state; updating a Q value related to the current state in the Q table; and for the condition that the current step number n exceeds the maximum round number N, judging whether the updated Q table is converged or not by using the total reward, if so, executing actions by the agent according to the Q table, calculating a new state, obtaining a final sequence working condition, and completing the air-power joint multi-target operation optimization of the freight train. The problem that in the prior art, air braking and electric braking are not well matched in the long downhill section circulating braking process of the heavy-duty train is solved.

The invention provides a railway freight train image abnormal area editing method and system, and relates to the technical field of image processing, and the method comprises the steps: obtaining an original image of a compartment of a railway freight train, and an editing instruction of an abnormal area; inputting the editing instruction and the original image into a large language model for analysis, and gradually decomposing the editing instruction into subtask chains; target semantic information is extracted from the editing instruction, image features are extracted from the original image, target area positioning is carried out, and a space mask is generated; fusing the target semantic information and the image features to obtain a semantic control vector, and performing image editing according to the semantic control vector, the spatial mask and the image features to obtain an initial editing image; and matching and fusing the original image and the initial edited image to obtain an abnormal region edited image, thereby solving the technical problems of serious hysteresis and high cost of traditional manual monitoring of railway freight safety in the prior art.

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 relates to a high-speed rail freight train operation optimization method, device and equipment. The high-speed rail freight train operation optimization method comprises the following steps: establishing an operation optimization double-target nonlinear model of a high-speed rail freight train; decomposing into a train alternative set limitation main model, a freight train alternative set generation sub-model, a first single-target optimization model and a second single-target optimization model according to different modes; solving a train alternative set limitation main model and a freight train alternative set generation sub-model according to the high-speed rail freight train alternative set to obtain a current optimal freight train alternative set taking the initial freight train alternative set as a starting point; substituting into the first single-target optimization model and the second single-target optimization model to solve and obtain an optimal target value vector; and solving the optimal target value vector by adopting a genetic algorithm to obtain an optimal chromosome, and outputting the optimal chromosome as a final optimal solution. According to the method, the genetic algorithm and the column generation algorithm are combined, economical efficiency and transport capacity requirements are considered, matching of cargo flow and train flow is achieved, and a feasible high-speed rail freight train operation optimization scheme is obtained.

The invention discloses a freight train shunting method based on an unmanned aerial vehicle radar, and belongs to the technical field of freight train shunting. The method comprises the following steps: initiating a shunting task based on a communicator, and automatically distributing an unmanned aerial vehicle based on an initiated shunting request; unmanned aerial vehicle preparation operation: if the distributed unmanned aerial vehicle is an idle unmanned aerial vehicle, taking off from the unmanned aerial vehicle charging warehouse, starting an audible and visual alarm, vertically climbing to a preset height, and then positioning a vehicle head; otherwise, directly positioning the headstock; recognizing the tail of the vehicle and moving the vehicle to a position right above the tail of the vehicle to execute dwelling and stopping monitoring; and finally, a shunting locomotive driver executes shunting operation based on the real-time monitoring information of the unmanned aerial vehicle. The invention aims to take the unmanned aerial vehicle as an intermediate link of the freight train shunting system to replace the work of the personnel of the shunting train in the freight train shunting process, optimize the freight train shunting speed on the basis of guaranteeing the personal safety of the personnel, improve the commuting efficiency of the freight train system, and improve the freight train shunting safety. The intelligence of a traditional freight train railway network system is promoted.

The present invention provides a freight train operation control method based on a train operation monitoring and recording device (LKJ). By refining LKJ control data in small amounts and optimizing the LKJ control method, the problems of unexpected braking, over-advancing, etc. caused by the freight train during the operation of the hook pressing operation and the permissive signal control are solved, the effective control of the hook pressing operation is realized, the occurrence of unexpected braking during the hook pressing operation is prevented, the optimization and subdivision of the permissive signal control is realized, the over-advancing signal machine is prevented, the potential risk of safety accidents during the operation of the freight train is completely avoided, and the availability and safety of the LKJ are improved.

A railway freight train side frame supporting seat hole machining tool belongs to the field of railway freight train side frame machining and comprises a bottom plate, a left positioning seat, a right positioning seat, a front positioning seat, a longitudinal pressing plate, a horizontal pressing plate, a lateral jackscrew, a longitudinal positioning block, a transverse positioning block, a longitudinal bolt rod and a vertical bolt rod. The left positioning seat and the right positioning seat are arranged on the two transverse sides of the bottom plate and are provided with bearing tables and vertical plates, bearing blocks with vertical positioning faces are installed on the bearing tables, longitudinal positioning blocks with longitudinal positioning faces and longitudinal bolt rods are installed on the vertical plates, longitudinal pressing plates are arranged on the longitudinal bolt rods, lateral jackscrews are installed on the left positioning seat, and lateral jackscrews are installed on the right positioning seat. A transverse positioning block with a transverse positioning surface is mounted on the right positioning seat, the front positioning seat and the vertical bolt bar are arranged on the longitudinal front side of the bottom plate, a horizontal pressing plate is arranged on the vertical bolt bar, a workpiece is positioned by the aid of the pre-machined positioning surface during use, two supporting seat holes can be machined by one-time clamping, machining efficiency can be improved, and machining precision 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 invention discloses a refrigerated container power supply system and control method based on railway transportation, and the system comprises a plurality of refrigerated containers which are arranged on a railway freight train; the plurality of backpack type generator sets are respectively assembled on the plurality of refrigerated containers, and each backpack type generator set is used for supplying power to the corresponding refrigerated container; and the plurality of generator set controllers are respectively configured on the plurality of backpack type generator sets, and each generator set controller is used for controlling the corresponding backpack type generator set to execute power supply action according to a set control strategy. Through the technical scheme provided by the invention, the power supply flexibility of the refrigerated container based on railway transportation can be 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 invention discloses a container lining bag assembly, a container assembly and a railway transportation system. The container lining bag assembly comprises a bag body, reinforcing cloth and reinforcing belts. The top surface of the bag body comprises bending parts capable of extending to the exteriors of the left side and the right side of the open top container, the reinforcing band further comprises a plurality of top bands arranged above the bag body, traction pieces used for being connected with the outer side wall of the container are arranged at the ends of the top bands, and the top bands are fixed to the top surface. The container assembly comprises the open top container and the container lining bag assembly. The railway transportation system comprises a freight train and the container assembly. By the adoption of the technical scheme, the top face of the bag body forms the bent parts towards the left side and the right side of the open top container, the function of tarpaulin can be achieved, and rain and snow are effectively prevented from entering the container during railway transportation.

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 utility model discloses an axle temperature alarm device suitable for a freight train, which belongs to the technical field of axle temperature alarm and comprises a two-way redundant power supply unit, an acceleration acquisition unit, a temperature acquisition unit and a mainboard. The bearing state is judged by collecting temperature and acceleration data at the same time; data can be output through various communication modes such as 485, MVB, CAN and hard wire output; the basic functions of the system adopt redundancy design, and the whole machine operation is not influenced when any module is damaged; in a freight transport system with complex working conditions, the system can adapt to severe environments such as wind, sand, rain and snow, the system can achieve certain waterproof, moisture-proof and flame-retardant effects, and the adaptability to vehicle electromagnetic interference, power supply interference, grounding interference and the like is greatly improved; multiple communication modes coexist, the bearing state can be monitored at any time, and a judgment basis is provided for driving of a driver in time.

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.