420 results about "Rail traffic" patented technology

The invention discloses an energy storage rapid compensation method and system based on track overhead line system voltage fluctuation feature recognition, and relates to the technical field of track traffic traction power supply. The method comprises the following steps: synchronously acquiring voltage and current signals of the overhead line system, and extracting a composite feature vector containing disturbance root attributes and transient change rate; on the basis of the vector, a transient energy vacancy sequence covering the ultra-short-term future is output in real time through a prediction model fusing dynamic phasor analysis and a feedforward neural network; according to the sequence, a cooperative control strategy fusing overshoot and active damping is generated in combination with a proximity compensation principle and a voltage recovery state so as to drive an along-line energy storage unit; the strategy is executed in advance, compensation energy is injected, and finally double closed-loop correction is conducted based on the voltage residual error. According to the method, the problems of response lag, unclear disturbance identification, poor collaboration and lack of adaptive ability in the prior art are solved, and advanced, accurate, collaborative and self-optimized rapid suppression of the voltage fluctuation of the overhead line system is realized.

The invention relates to the field of rail traffic intelligent control, and discloses a rail obstacle real-time detection and braking system based on multi-sensor redundancy, which comprises at least two groups of sensing modules arranged at the front end and the rear end of a train, and each group of sensing module comprises a laser radar used for collecting three-dimensional point cloud data of a forward or backward rail area of the train; the binocular camera is used for acquiring color image data and depth image data in corresponding directions; and the robot controller is in communication connection with the sensing module and is used for receiving sensing data acquired by the laser radar and the binocular camera and executing obstacle recognition, redundant information fusion and brake control logic. By constructing a multi-sensor redundancy sensing structure based on the laser radar and the binocular camera, high-robustness recognition of a dynamic or static obstacle target in a complex orbit environment is realized, and the effect of remarkably improving the obstacle detection accuracy and the false alarm suppression capability is achieved.

The invention discloses a track digital twinning real-time online deduction method and system, and belongs to the technical field of traffic simulation based on machine learning. The problem that in the prior art, a traditional traffic simulation and rail passenger flow dynamic allocation method is low in solving efficiency, and consequently the large-scale rail traffic network dynamic passenger flow allocation requirement is difficult to meet is solved. The method comprises the following steps: constructing a track road network model; generating road network passenger flow data and line shift data; further, simulation individuals of the train and the passengers are generated, path track matching based on time and space is carried out, and passenger-train dynamic traffic distribution and passenger-train interactive operation deduction are completed; according to the real-time detection data and the simulation result, dynamic line shift and passenger flow adjustment is carried out until a preset convergence condition is reached, and dynamic traffic checking is completed; and simulation is carried out to realize reduction and prediction of the passenger flow / flow direction of the whole line network. The method effectively improves the rail passenger flow dynamic distribution efficiency, and can be applied to large-scale traffic network simulation.

The invention relates to the technical field of rail traffic safety monitoring, and discloses a railway foreign matter invasion real-time monitoring and alarm system based on an SAR radar, and the system comprises an SAR multi-dimensional information depth perception module which extracts polarization, coherence, texture and other multi-dimensional features from SAR data; the multi-scale space-time attention fusion module adaptively focuses the key space-time change through a space and time attention mechanism to generate space-time fusion features; and the railway foreign matter invasion evolution knowledge graph construction and reasoning module integrates the space-time fusion features and multi-source information such as railway infrastructure, environment and historical events to construct a dynamic knowledge graph, and performs risk reasoning and alarming by using a graph neural network. According to the invention, through deep fusion of multi-dimensional perception, intelligent attention and knowledge graph reasoning, the accuracy, robustness and intelligent level of foreign matter invasion monitoring are significantly improved, and deep understanding and adaptive early warning of risks are realized.

The invention discloses a single board detection system and method, and relates to the field of rail transit, and the system comprises an adapter plug-in box which is provided with at least one first slot and at least one second slot, the first slot is used for connecting a detected plug-in, and the second slot is used for connecting an accompanying test plug-in; and the main control assembly is connected with the adapter plug-in box and is configured to send test information corresponding to the tested plug-in to the accompanying test plug-in when the tested plug-in is a first type of plug-in, determine a test result of the tested plug-in based on test data, and output a preset test signal to the tested plug-in when the tested plug-in is a second type of plug-in, obtaining a test result of the tested plug-in; and the accompanying test plug-in is configured to load configuration parameters corresponding to the test information so as to disguise the accompanying test plug-in as a target interaction plug-in of the tested plug-in, then interact with the tested plug-in and collect test data in the interaction process. According to the invention, the cost of developing special detection equipment for different plug-in types can be reduced, and the universality of the detection system is improved.

The invention relates to the field of rail traffic intelligent driving, and discloses a rail car safety state real-time monitoring and early warning system based on deep learning, which comprises a multi-modal data acquisition module for deploying sensors on key components of a rail car and acquiring time sequence data including vibration, temperature, pressure and operation parameters; the cross-modal feature conversion module encodes the collected time sequence data into a three-channel color image; the safety state evaluation module is used for performing deep modeling and feature learning on the three-channel color image, predicting a current state classification result of the rail car in real time, and obtaining a safety state evaluation result of the rail car; and the early warning and intelligent decision-making module is used for carrying out anomaly detection and alarm prompt when potential risks exist in the rail car according to the safety state evaluation result. According to the invention, high-precision early fault identification and automatic early warning are realized.

The invention provides a door-shaped steel bar optimization method and system based on ballastless track interface damage analysis, and relates to the field of track traffic, the method comprises the following steps: determining track interlayer bonding parameters of a ballastless track based on interface comprehensive mechanical property test data of a concrete material composite test piece of the ballastless track, and establishing a finite element model of the ballastless track; a service temperature field of the ballastless track is calculated, and equivalent simulation of shrinkage of the self-compacting concrete layer is completed; on the basis of the multiple structure optimization variables, multiple door-shaped steel bar optimization schemes are determined, and the track interface damage area and distribution of the ballastless track under the combined action of shrinkage of the self-compacting concrete layer and the temperature load are calculated by utilizing a finite element analysis method based on a finite element model of the ballastless track corresponding to the door-shaped steel bar optimization schemes; the method has the advantages that the early-stage interface damage risk is reduced, and the durability and reliability of the track structure are improved.

The invention discloses a railway marshalling station intelligent scheduling control method and system based on hierarchical reinforcement learning, and belongs to the technical field of rail transit. In the hierarchical reinforcement learning framework, the upper layer achieves a global marshalling priority strategy by using a deep Q network trained in stages and by means of dynamic reward function design; and the lower layer optimizes a PPO algorithm by means of a near-end strategy of dynamic action space cutting, and regulates and controls the state of the debugging equipment in real time. A security policy distillation technology is adopted in a marshalling station scheduling control process, and a security policy passing verification is extracted as a rule tree to serve as an initial policy for reinforcement learning, so that a training convergence process is accelerated. A transfer learning method is further applied, so that the method can adapt to the dynamic flow distribution requirements of marshalling stations of different scales. By adopting the technical scheme of the invention, the physical limitation and the operation safety standard of the railway marshalling station can be met as far as possible.

The utility model relates to the technical field of rail traffic, in particular to an eccentric support type anti-falling guard rail which comprises a guard rail support, a walking rail and a guard rail, the walking rail is vertically locked at the middle bottom of the guard rail support through a first locking mechanism, a guard rail eccentric support with the top sleeved with an elastic sleeve shoe is arranged at the top of one side of the guard rail support in a clamped mode, and the elastic sleeve shoe is arranged on the guard rail eccentric support. The guard rail and the guard rail eccentric support are horizontally locked at the top of one side of the guard rail support through the second locking mechanism, the guard rail eccentric support and the elastic sleeve shoe are adopted to solve the problem that original cushion blocks are large in model number and prone to falling off, the transverse load is increased, the guard rail strength of the guard rail is further guaranteed, and the service life of the guard rail is prolonged. The eccentric support type anti-falling guard rail is convenient to install and not prone to falling off, meanwhile, the installation height is kept constant, the transverse load is high, and the strength of the guard rail is high.

The invention provides a sensor layout method and device and a train, and can be applied to the technical field of rail transit. The sensor layout method comprises the following steps: determining a plurality of to-be-screened position points for installing sensors in a train; clustering the plurality of position points according to the strain energy density and the information entropy of each position point, and determining at least one to-be-screened region according to a clustering result; the multiple position points, the to-be-screened area and mechanical and load data, obtained through pre-testing, of all the position points are input into a pre-constructed target layout model, at least one initial layout scheme is output, and the initial layout scheme comprises the number of sensors and the installation positions of the sensors; and optimizing the at least one initial layout scheme by utilizing a multi-objective optimization algorithm and executing multiple iterative optimization operations to obtain a target layout scheme.

The invention discloses an urban multi-layer traffic network modeling and toughness analysis method under the influence of rainstorm, and relates to the technical field of traffic control, a rainstorm ponding model is built based on historical rainfall information, and a runoff depth and a ponding depth are simulated based on the rainstorm ponding model; building a multi-mode traffic model based on SUMO software; a rainstorm ponding model and a multi-mode traffic model are integrated to construct a coupling model, ponding information is matched to a corresponding road through a road ID, failure mechanisms of different traffic modes under rainstorm ponding are obtained, ponding influences are considered for road traffic and rail traffic respectively, and corresponding influence parameters are set. Adjusting the road speed limit in real time and updating the route in real time; the SUMO simulation output result is utilized, the toughness index change in different scenes is calculated, the comprehensive traffic network toughness in different rainstorm scenes is analyzed from the four dimensions of topology, convenience, service and safety, the comprehensive traffic network toughness is evaluated, the dynamic capture of traffic characteristics is realized, and the analysis depth and breadth are improved.

The invention discloses a remote rail fault intelligent detection system based on big data driving, and relates to the technical field of rail traffic intelligent monitoring and state maintenance. The problems that a traditional detection method is high in manual dependence, slow in response and lack of prediction and self-repairing capacity are solved. According to the method, multi-source data are acquired through a fixed sensing network and a mobile inspection vehicle, a multi-scale digital twin is constructed and updated, and a probabilistic fault evolution graph is generated based on a random phase field model; collaborative judgment is carried out based on distributed edge computing nodes, and a maintenance scheme is generated by adopting a hybrid geometric distance retrieval immune memory bank; and finally, collaborative repair is executed through mixed reality and a micro-robot cluster, and continuous optimization of the system is realized based on federated learning and case-based reasoning. According to the system, integrated closed loop of track state sensing, fault prediction, intelligent decision making and self-repairing is achieved, and the detection foreseeability, the maintenance accuracy and the system self-adaptive capacity are improved.

The invention relates to a train positioning method based on a digital track map, which belongs to the technical field of satellite navigation and track traffic positioning, and is characterized in that a track is fitted by acquired track data to obtain a high-precision track curve model. Then, in the train positioning process, the train position calculated by the GNSS is matched with the fitted track curve, and a track constraint optimization method is adopted to correct the train position. A GNSS positioning result is projected to a nearest point of a fitting track curve, deviation correction is carried out in combination with track geometric information, positioning errors caused by environmental interference are eliminated, and therefore the relative positioning precision of a train is improved; according to the method, the train positioning precision is further improved by performing accurate fitting on the track line features and combining a global navigation satellite system (GNSS) positioning technology, the ambiguity fixing rate is effectively improved, and the problems of insufficient train positioning precision, low ambiguity fixing rate and the like in the prior art are solved.

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

The invention provides an intelligent rail tramcar dynamic section road right release method and system based on V2X cooperation, and relates to the technical field of intelligent rail traffic control, and the method comprises the steps: deploying a sensing network at a key node of a road section based on V2X, and obtaining the multi-source data of the road section in real time based on the sensing network; acquiring real-time information of social vehicles and intelligent rail tramcars based on the multi-source data; according to the real-time information, dynamic division is carried out, a three-level section range is calculated in real time, a plurality of sections are obtained, and the sections comprise an emergency protection area, a dynamic buffer area and a free passing area; and carrying out differential control on the social vehicles and the intelligent rail tramcars based on a three-level section road right release strategy, and carrying out road right release on each section. The problem that a traditional fixed section division mode cannot adapt to a dynamic change scene and is difficult to meet the requirement for reasonable management and control of the intelligent rail tramcar and the social vehicle in an open road right scene is solved.

The invention discloses a road network traffic state prediction method based on large language model spatial-temporal feature embedding, and belongs to the technical field of calculation, reckoning or counting. According to the method, semantic embedding of space and time is extracted by pre-training a large language model, and the space-time heterogeneity of a traffic system is quantified; a dynamic adjacent matrix is constructed by using Tucker decomposition, and combined modeling is performed on historical traffic data in combination with a dynamic space-time diagram convolutional network, so that high-precision prediction of a future traffic state is realized. The method does not need manual feature design, has good generalization ability and multi-mode adaptability, can be widely applied to scenes of road traffic, rail traffic demand prediction and the like, and significantly improves prediction accuracy and control response ability in a complex traffic environment.

The utility model belongs to the technical field of rail traffic, and particularly discloses a dust collection type rail self-cleaning device which comprises a movable trolley, and a dust collection device used for sucking and collecting dust is arranged at the rear end of the top of the movable trolley. A sweeping assembly used for sweeping dust in the I-shaped steel rail and a symmetrical dust collecting assembly used for guiding and collecting swept dust and sundries are arranged below the movable trolley, the sweeping assembly comprises brush rollers symmetrically arranged on the two sides of the I-shaped steel rail, and the tops of the brush rollers are connected with a servo motor through a shaft rod. The servo motor is mounted at the bottom of the movable trolley; the dust collection assembly comprises a dust collection frame and a dust collection head which are symmetrically arranged on the two sides of the I-shaped steel rail, one end of the dust collection head is fixedly connected with the dust collection frame, and the other end of the dust collection head is fixedly connected with a dust collection device through a connecting pipe.

Embodiments of the application relate to a technical field of traffic trackside intelligent devices. A trackside device includes: a collection module configured to collect detection information at a side of a track; a processing module configured to process the detection information to obtain a processing result; a trackside resource control module configured to drive and control a trackside resource when a trackside resource request is received from a target train and the trackside resource is in a released state, wherein the trackside resource control module is further configured to monitor a state of the trackside resource; and a communication module configured to communicatively connect with a ground center and the target train.

The elastic wide sleeper comprises a sleeper body, the sleeper body comprises a sleeper middle part and sleeper edge parts symmetrically distributed on the two sides of the sleeper middle part, rail bearing tables are arranged on the sleeper edge parts, rail bearing grooves are formed in the rail bearing tables, the top face of the sleeper middle part is a plane, and the plane is as high as the bottom ends of the rail bearing tables on the two sides; the pillow middle part and the pillow edge parts are equal in width, and the width is larger than 500 mm. According to the elastic wide sleeper, the problems that in the prior art, stress of a sleeper and a ballast bed is concentrated, frequent maintenance and repair are needed, and the operation cost is large are solved, and the purposes of reducing the maintenance and repair frequency of a track line and reducing the operation cost are achieved.

The invention discloses a quick release structure for a rail traffic communication module and a heat dissipation assembly thereof and a use method. The quick release structure comprises a bottom plate, a mainboard, a communication module, a heat conduction pad and a heat dissipation plate. The bottom plate is fixedly connected with the mainboard through a pressing rivet stud, the communication module is installed on the mainboard, the heat dissipation plate is arranged on the outer side of the communication module, one end of the heat dissipation plate is detachably clamped with a bottom plate hook hole through a hook, the other end of the heat dissipation plate is screwed and locked with a mainboard module mortise column through a captive screw, and a heat conduction pad is arranged between the communication module and the heat dissipation plate and used for heat conduction. During installation, the heat dissipation plate is rotationally attached to the heat conduction pad and then locked, and during disassembly, the heat dissipation plate can be taken down by loosening the screws and rotating reversely. The structure realizes quick disassembly and assembly of the heat dissipation assembly, is simple and convenient to operate, does not need tools, has excellent heat dissipation performance, is suitable for various rail transit communication modules, and has the advantages of compact structure, high universality, high maintenance efficiency and the like.

The utility model discloses a limiting device for track noise detection, which relates to the technical field of track traffic noise detection and comprises a square mounting frame. The two mounting plates are symmetrically arranged on the mounting frame, and the two mounting plates are connected with the mounting frame in a sliding and locking mode; two first limiting mechanisms; two clamping jaw parts; and two second limiting mechanisms. According to the utility model, firstly, the detected track is supported by the second limiting mechanism to ensure that the detected track is in a horizontal detection position, and then the detected track is limited and fixed by the first limiting mechanism and the clamping jaw part, so that the connection condition between the clamping jaw part and the detected track can be observed; whether the detected track is flat and qualified or not is preliminarily observed, and then levelness detection is conducted on the detected track through flatness detection equipment. The purpose of detecting the flatness of the surface of the track is achieved.

The present invention discloses a process and a plate for three-dimensionally weaving a plate with channels, comprising: arranging yarns on a three-dimensional weaving base according to the shape of the plate, not arranging yarns in the empty positions of the channels, and weaving the plate with channels in three dimensions according to a four-step method. In the present invention, a three-dimensional weaving plate with channels is made using three-dimensional weaving technology. This plate has good structural integrity and strong load-bearing performance. It will not delaminate after being subjected to force. The design of its channels can reduce the weight of the plate while also having the function of thermal insulation. Furthermore, the shape, arrangement, and number of the channels in the present invention can be designed according to the working conditions of the product, which is conducive to reasonably improving the mechanical contribution rate of the fiber. The plate with channels of the present invention has high specific strength and high specific modulus, and can be matched with the selection of materials to meet the needs of aerospace, rail transportation, sports and leisure, construction and other fields for different composite material plates.

The invention discloses a fireproof partition system, method and device of a rail vehicle energy storage system and a medium, relates to the technical field of rail traffic, and provides the fireproof partition system of the rail vehicle energy storage system in order to solve the problem that an effective fireproof scheme is lacked in a space-first application scene of the rail vehicle energy storage system at present. Fireproof protection of the energy storage system is achieved through the air door arranged at the ventilation and heat dissipation air opening of the energy storage system, and the air door and the energy storage system hardly occupy extra space. And closing control over the air door is fused with an original fault processing mechanism of the train, additional control module arrangement is omitted, and occupied space is further reduced. Therefore, the system provides an effective protection scheme for the fire prevention problem of the rail vehicle energy storage system in a scene with extremely limited space. The energy storage system can be additionally arranged on the railway vehicle on the premise that the requirement of the railway traffic for the fireproof safety level is guaranteed.

The application provides a kind of steel rail turnout milling and grinding processing method based on vision, belongs to the field of track traffic maintenance intelligent equipment, comprising: obtaining the three-dimensional data of steel rail turnout;The three-dimensional data is fitted to generate two-dimensional turnout track diagram;The distance between the upper rail of frog heart and the lower rail of frog heart is l 1 Place vertical first boundary line, the distance between the connecting point of upper side switch rail and upper side wing rail l 2 Place vertical second boundary line, the distance between upper side general rail and upper side switch rail l 2 Place vertical third boundary line, according to the first to the sixth curve and the first to the third boundary line, determine the processable area and non-processable area of steel rail turnout;Control the milling and grinding car to process the processable area.This application can effectively improve the processing efficiency and processing precision, completely repair the disease site, and avoid damage to the steel rail turnout.

The invention discloses a switch rail tip chipping detection device and method, and relates to the technical field of switch rail detection of rail traffic, and the switch rail tip chipping detection device comprises a walking mechanism moving along the extension direction of a switch rail, a detection device suspended between the walking mechanism and the switch rail, and a signal processing module installed on the walking mechanism. The floating part automatically adapts to the contour of a rail head, the detection part senses pressure fluctuation in real time, block falling state data are obtained through threshold judgment of the signal processing module, and a brake parking structure is linked in case of serious defects, so that automatic continuous monitoring is realized; the problems that manual inspection efficiency is low, and missing detection and misjudgment are easily caused by environmental lighting limitation are effectively solved, and turnout operation safety and detection timeliness are greatly improved.

The application discloses a rigid contact net self-adaptive polishing control method and system, belongs to the technical field of track traffic power supply equipment maintenance, obtains the pantograph-catenary action historical data of each position along the busbar direction of the contact net, and constructs a contact wire damage index distribution curve; based on the damage index, a high damage interval is identified, roughness, corrugation amplitude and oxidation thickness parameters are extracted, a damage intensity vector is constructed, and a fuzzy comprehensive evaluation method is used to calculate the damage level score of each position; according to the scoring results, a preset polishing strategy library is matched, corresponding polishing wheel combinations, rotating speeds and contact pressures are determined, and a control parameter set is generated; the polishing device dynamically adjusts the working state according to the control parameters in the running process, and the method realizes the whole-process self-adaptive closed-loop control of state recognition, strategy decision, execution control and quality feedback of the contact wire polishing operation.

The invention discloses a track defect detection method based on task alignment and dynamic category weighting, and belongs to the technical field of track traffic operation and maintenance, and the method comprises the steps: carrying out the inspection of a railway or urban track through employing an unmanned aerial vehicle to carry high-definition camera equipment, and obtaining track image data; the collected images are preprocessed and divided into a training set, a verification set and a test set; in the training process of the YOLO target detection network, task alignment scoring is introduced in a positive sample distribution stage; according to the method, classification loss of unified scarcity-size joint weighting is designed, dynamically updated category weight is introduced, and meanwhile, the influence of category scarcity and target size on learning difficulty is described, so that the overall detection precision is improved; and reasoning a new track image acquired by the unmanned aerial vehicle by using the trained model, and outputting a detection result containing a defect category, a position and confidence.

The invention belongs to the field of urban rail transit emergency command, and particularly relates to an urban rail transit emergency command method based on digital twinning, which comprises the following steps: collecting multi-source data and setting an emergency trigger condition; deploying a lightweight self-adaptive adjustment twinborn model; according to the rail transit guidance method, the problem of how to estimate the flow direction of crowds and issue an evacuation strategy under the condition that a fire occurs in a scene of urban rail transit and a camera is shielded by smoke or powered off is solved; according to the invention, the method can achieve the estimation of the flow direction of the crowd under the condition of no sight line, and gives an evacuation command accordingly.

The present application relates to the technical field of urban rail transit floor cleaning and maintenance equipment control, and provides a kind of urban rail transit floor cleaning and maintenance equipment control method and system, by real-time acquisition of the load information of motor driving cleaning brush disc and frequency analysis is carried out, identify the load fluctuation characteristics related to the rotation frequency of cleaning brush disc;According to the amplitude and phase change of load fluctuation characteristics, determine that the bristles of cleaning brush disc are in non-uniform wear state, adaptively adjust the closed-loop control parameters of motor / overlap the compensation signal synchronous with the rotation angle of cleaning brush disc in the control command of motor;The motor is controlled by the adjusted closed-loop control parameters and / or control command of motor, so as to dynamically optimize the motor control according to the actual wear condition of bristles, so that the cleaning force applied to the ground by the cleaning brush disc remains uniform during the entire rotation process, significantly improving the cleaning quality.

The invention discloses a track board laying device and a track board laying method based on the BIM technology, and relates to the technical field of track traffic construction.The track board laying device is provided with a track transporting vehicle, a guide rail, a walking truss, a position adjusting mechanism and a track board clamping and laying mechanism; the track plate clamping and laying mechanism firstly slowly lowers the height to enable the lower surface of the track plate and the roadbed or ballast bed surface to be close to a preset gap; and then the adsorption force of the adsorption assembly is released, and the clamping assembly is gradually opened, so that the track plate is stably released and laid in place under the action of gravity. Through the process, the device can complete automatic transfer, accurate positioning and release laying of the track plate, and frequent manual adjustment operation during traditional manual matched hoisting is avoided.