411 results about "Rail line" patented technology

An intelligent fault-in-rail analysis method based on multimodal fusion learning. Ultrasonic analysis data of the rail and high-definition rail surface images taken by line scan cameras are exploited in combination to detect and display internal and surface faults of the rail through different renditions using multimodal data. Rail DEtection TRansformer (R-DETR) technology or a You Only Look Once (YOLO) inspection machine-learning algorithm are employed in a deep convolutional neural network to analyze B-scan and rail surface image data to recognize rail line faults. After obtaining expressive data through data enhancement by computer processing, faults are recognized and pinpointed using the deep convolutional neural network learning algorithm. Analysis results are corrected with expert systems. The disclosed automatic ultrasonic fault-in-rail inspection solves the problem of slow detection and difficulties in tracking faults in everyday routine maintenance while also protecting the safety of rail operation and maintenance personnel.

The invention discloses a convergence method and device for a train safety envelope, and relates to the technical field of railway train driving. According to the scheme, for a train running on a railway line, an RBC can receive a train position report from a vehicle-mounted ATP according to a preset time period through train-ground wireless communication equipment and vehicle-mounted interaction, and after an interlocking device handles a route for the train and the train drives into the route, the RBC sends the train position report to the vehicle-mounted ATP, and the RBC receives the train position report from the vehicle-mounted ATP according to the preset time period. According to the data information in the train position report fed back at the moment, the last relevant transponder group of the train path can be determined, so that the train envelope is calculated according to the train position report and the rail section position determined by the last relevant transponder group, and the train path is determined. The train envelope on the railway line correspondingly occupies a certain number of track sections, so that the track section which is currently in an unlocking state is determined from the track sections according to section unlocking state information fed back by interlocking equipment, and the track section is used for converging the train envelope.

The invention discloses an operation optimization method, system and equipment for cooperative carbon reduction of an intelligent rail line network, and relates to the technical field of energy-saving scheduling and low-carbon operation of urban public transport. A refined section-level energy consumption and carbon emission quantitative model is constructed based on dynamic characteristics of intelligent rail vehicles and carbon emission factors of a power grid; a deep learning network is used for fusing multi-source data to carry out cross-line short-time passenger flow prediction, real-time passenger flow demands, energy consumption and carbon emission indexes and intersection signal phase time window constraints are uniformly incorporated into a multi-target collaborative optimization framework, and solving is carried out through mixed integer linear programming in a rolling vision field. According to the method, combined optimization and dynamic closed-loop control of departure intervals, section operation speeds and road right strategies are realized, so that the total operation energy consumption and carbon emission of the intelligent rail line network are remarkably reduced on the premise of ensuring passenger flow transportation requirements and service quality, and the line network level energy-saving and carbon-reducing operation targets are achieved.

The invention discloses an urban rail vehicle simulation driving training method and system based on scene simulation, and belongs to the technical field of driving simulation, and the method specifically comprises the steps: collecting rail line parameters, weather data, passenger flow density, vehicle equipment state and driving data in real time, carrying out the preprocessing, constructing a dynamic personalized simulation scene, and simulating driving operation. According to operation of a driver and a preset simulation scene, micro features of eye-brow areas of the driver are recognized, the psychological stress of the driver is analyzed in combination with historical data, the simulation scene is dynamically adjusted according to a psychological stress analysis result, the performance of the driver in the training is scored according to a preset evaluation standard, and a detailed training report is generated. According to the method, pressure analysis is carried out on the eyebrow area, pressure evaluation is carried out in combination with the physiological dimension, the pressure of the driver in a simulation scene can be judged in real time, different simulation scenes are provided for different drivers, and the training effect is greatly improved.

The invention discloses a long-distance rail identification and obstacle detection method and system, and the method comprises the steps: combining a long-focus optical system with an ultra-high-speed industrial camera at a hardware level, and building a high-collection-frame-rate and long-distance optical detection system; on the software level, a region of interest for obstacle detection is delimited according to recognition and visual segmentation of left and right rail lines of a rail, advanced visual tasks such as a rail obstacle intrusion detection algorithm based on target detection are executed, and finally high-frame-rate recognition and detection of long-distance rails and rail obstacles are achieved. According to the invention, a Schmidt-Cassegrain optical system with a focal length of 2000mm is used, and an ultra-high-speed industrial camera with a resolution of 1920 * 1080 and 3000 frames per second is combined to build a long-distance high-frame-rate optical detection platform which is erected on a driving position of a train to detect railway conditions within a range of 6km in real time; serious accidents caused by overlong braking distance due to high-speed running of the train can be prevented. Compared with a traditional train driver eye observation and laser radar-based scanning imaging mode, a farther detection distance, better detection and recognition robustness and a higher frame rate can be realized through the long-distance optical observation platform and the rear-end real-time detection system.

The invention discloses a method and a system for predicting the propagation direction of a seismic wave field excited by a high-speed rail seismic source. The method comprises the following steps: simplifying the high-speed rail seismic source into vertical downward impact force of wheels on the ground; taking the Ricker wavelet as a deformation function of force, summing all wheels of the high-speed rail train to obtain a high-speed rail sub-seismic source function, and performing Fourier transform to obtain an amplitude spectrum; the method comprises the following steps: modeling uniformly arranged sleepers or piers of a high-speed rail line into a uniform linear array, exciting seismic waves at each array element in the uniform linear array, and summing seismic wave signals of each array element at a far-field receiving point to obtain an array factor; a radiation factor formula of the P wave and the S wave of the seismic wave field of the high-speed rail seismic source is obtained by combining the radiation pattern factors of the seismic P wave and the S wave excited by the single-point concentrated force; drawing a theoretical interference directional diagram of seismic waves; and establishing a model for simulation, comparing a theoretically predicted interference pattern with a simulation data wave field snapshot, and keeping the predicted direction consistent with the simulated wave field direction, thereby verifying the rationality and correctness of the proposed method.

The present invention discloses a gait optimization method and system for an on-track walking assembly robot, the method comprising: constructing a robot-structure coupling dynamics model and obtaining the coupling relationship between the robot joint motion and the structural vibration; constructing a joint trajectory function based on the sum of a quintic polynomial and a finite-term cosine Fourier series; constructing an objective function according to the relationship between structural vibration and joint motion; finding the joint trajectory parameters that minimize the objective function based on a PSO algorithm, and substituting the parameters into the joint trajectory function to obtain the joint trajectory. The system comprises: a coupling dynamics model construction module, a joint trajectory function construction module, an objective function construction module, and an optimization module. By using the present invention, the gait trajectory during the robot motion process is optimized, which helps to reduce the force on the structure caused by the robot motion, so that the residual vibration generated by the structure is minimized. The present invention can be widely used in the field of robot control.

The utility model discloses a rail transfer mechanism of an RGV, which relates to the technical field of material conveying equipment and particularly comprises two rail transfer mechanisms which are oppositely designed and mounted, and the two rail transfer mechanisms are both mounted in the middle of two linear rail lines in the existing rail mechanism of the RGV equipment and can also be mounted at the ends of the two linear rail lines of the rail mechanism. The two rail transfer mechanisms are connected through a first rail and a second rail. Through the structural design and cooperation of the two rail transfer mechanisms, the rail system of the whole RGV equipment can flexibly switch various different conveying paths, more path choices can be provided for transportation scheduling of the RGV equipment, convenience is provided for expansion of the rail system of the RGV equipment, and the overall efficiency of goods carrying of the RGV equipment can be effectively improved.

The invention relates to a railway line rail fixing structure device, and relates to the technical field of railway track fixing, and the railway line rail fixing structure device comprises a fixing seat used for supporting a steel rail; the two embedded iron bases are located on the two sides of the fixing base correspondingly; the limiting device comprises two fixing assemblies, a buffering assembly and an adjusting assembly, and the two fixing assemblies are symmetrically arranged on the two sides of the steel rail and used for fixing the steel rail and the fixing base; the two buffering assemblies are symmetrically arranged on the two sides of the steel rail and used for buffering and damping vibration generated by acting force on the steel rail when a train passes through the steel rail. The adjusting assembly is arranged between the two buffering assemblies and used for adjusting the distance between the two buffering assemblies. The rail fixing structure has the effects that the mounting process of the rail fixing structure is simplified, the deformation resistance of the rail fixing structure is improved, and the risk of deformation or displacement of the steel rail due to external force is reduced.

The invention discloses a virtual reality interactive simulation system based on high-speed rail line maintenance, and belongs to the technical field of high-speed rail line maintenance simulation. The system comprises a virtual scene construction unit, an operation action capture unit, a rule verification unit, a difference calculation unit, an abnormity positioning unit and a comprehensive risk prompting unit. The virtual scene construction unit generates a standardized virtual scene model by using high-speed rail line maintenance manual data and real-time equipment state information; the operation motion capture unit captures a user three-dimensional space coordinate sequence and outputs motion track data; the rule verification unit compares the action track data with a preset maintenance rule base and outputs an operation compliance judgment result; the difference calculation unit calculates an operation deviation measure; an abnormal positioning unit positions an abnormal operation physical position; and the comprehensive risk prompting unit generates a maintenance risk grade identifier. The system provides a simulation environment for maintenance personnel, and carries out real-time monitoring and feedback operation.

The invention relates to the technical field of railway line planning, in particular to an improved SAC railway line planning method based on course learning, and the method comprises the steps: modeling a three-dimensional line selection environment; constructing an improved SAC decision model, and designing a 100-dimensional state space including topographic features, forbidden zone positions and unfavorable geological risks; constructing a reward function fusing engineering cost, terrain fitness and invalid action penalty; curriculum learning staged training is carried out; and generating and optimizing a line scheme. According to the improved SAC railway line planning method based on course learning, a continuous action space decision framework based on the SAC algorithm can effectively solve the high-dimensional continuous action optimization problem of railway line selection. By designing a multi-dimensional fusion state space, a continuous action space based on a proportionality coefficient and a reward function based on target guidance, the adaptability of the intelligent line selection model to topographic features is remarkably improved.

The invention relates to a primitive feature-based high-speed rail roadbed cross section design information datamation method, which comprises the following steps of: converting a DWG file into a DXF format file, extracting basic primitive information, obtaining straight line and arc information and text information, and carrying out data processing on the straight line and arc information and the text information; and identifying and matching extracted object information possibly contained in the railway subgrade cross section drawing according to railway design specifications and the graphic features of the extracted objects. And finally, storing the obtained extracted object information in a database according to name-type-attribute-coordinate by taking the railway line position as a reference. According to the method, a high-speed rail roadbed cross section design digital drawing can be analyzed, required information can be extracted, the drawing information can be checked by using the digitized information, the engineering quantity in the drawing can be calculated, and meanwhile, basic data information can be provided for further design.

Provided are a boarding apparatus and a boarding apparatus control method. The boarding apparatus comprises a control module (10), a motion actuator (11), a boarding step (12), and an obstacle detection sensor (13). Controlling the movement of the boarding step by means of the motion actuator solves the problem of the boarding apparatus being restricted by infrastructure under different rail lines, thereby making the boarding apparatus more flexible and convenient; in addition, obstacle detection is performed by means of the obstacle detection sensor during the movement of the boarding step, and when an obstacle has been detected, the obstacle detection sensor can feed back a detection signal to the control module, which in turn controls the motion actuator to adjust the position of the boarding step, so as to prevent collisions and squeezing between the boarding apparatus and the obstacle, thereby enhancing the safety of the boarding apparatus.

The invention provides a multi-algorithm cooperative positioning method for a Beidou single-mode terminal of a railway locomotive, which belongs to the technical field of railway communication and positioning, and comprises the following steps: firstly, receiving a positioning signal flow which is sent by a Beidou satellite and contains a propagation path identifier, and carrying out shunt processing on a satellite signal unit; a direct signal is imported into a basic positioning algorithm module, a reflected signal is imported into an auxiliary positioning algorithm module, an initial positioning result and path correction information are obtained, then the initial positioning result and the path correction information are subjected to correlation verification, intermediate positioning data are generated, the intermediate positioning data are subjected to constraint adaptation based on railway line track feature information, and a constraint positioning result is obtained. Finally, the signal processing priority of the algorithm module is dynamically adjusted according to the constraint positioning result, final positioning information is generated and sent to a locomotive monitoring terminal, and therefore the accuracy and reliability of railway locomotive positioning can be effectively improved.

The energy-saving and consumption-reducing heat preservation structure comprises a heat preservation type vehicle body and a heat preservation type floor arranged at the lower end of the heat preservation type vehicle body, a vehicle window heat preservation structure is arranged at the connection position of a vehicle window installation opening and a vehicle window of the heat preservation type vehicle body, and a vehicle door heat preservation structure is arranged at the connection position of a vehicle door installation opening and a vehicle door of the heat preservation type vehicle body. A sealing heat preservation structure is arranged at the position of a through hole formed in the heat preservation type vehicle body and used for installing small parts. A heat preservation type movable floor covers the access hole of the heat preservation type floor, one end of the heat preservation type movable floor is hinged to the corresponding position of the access hole, and the other end of the heat preservation type movable floor is detachably and fixedly connected with the heat preservation type floor through a triangular lock. By optimizing the thermal insulation structure of the track engineering machinery vehicle, the defect of large temperature difference inside and outside the vehicle caused by large temperature difference between south and north climate of the track engineering machinery vehicle is overcome, the energy consumption of refrigeration of an air conditioner and heating power of an electric heater is effectively reduced, the requirements of high-speed railway lines in different regions at present are met, and the thermal insulation performance, safety and comfort of the whole vehicle are ensured; the energy consumption is reduced.

The invention provides a railway bridge line-bridge integrated design method and system based on driving performance, and relates to the technical field of railway bridge track smoothness control, and the method comprises the steps: obtaining first information and second information; a vehicle-line-bridge coupled vibration mathematical model is constructed according to the second information; performing simulation processing according to the first information and a vehicle-line-bridge coupled vibration mathematical model to obtain a management cut-off wavelength; obtaining deformation data of a bridge line shape under a preset load working condition, and obtaining sub-band track line shape data; obtaining an interval line track smoothness design index; obtaining an inter-band acceleration correlation formula according to the line-bridge integrated design index system and the sub-band track linear data; and obtaining a design limit value based on an inter-band acceleration correlation formula. According to the method, the rail smoothness management of the on-bridge lines and the section lines of the railway bridge is unified, and the problem that in the prior art, the on-bridge rail line shape and the section line line shape management standard are not coordinated is solved.

The invention discloses a high-speed rail cable breaking-cleaning integrated deicing device used in the technical field of cable deicing. The high-speed rail cable breaking-cleaning integrated deicing device comprises an ice breaking module, a post-processing module and a guiding module. According to the technical scheme, a rotary support is installed on the upper portion of a pantograph head support of a high-speed train, a motor drives a rotary crushing head to rotate, and the rotary crushing head crushes and removes an ice layer on a cable; the deicing knife removes ice layers left at the bottom and the periphery of the cable; the heat generator generates high-temperature hot air which is sprayed out at a high speed through the nozzle, and residual ice particles and accumulated snow on the contact line are thoroughly removed. According to the high-speed rail cable breaking-cleaning integrated deicing device, through close cooperation of the functions of the ice breaking module, the post-processing module and the guiding module, deep cleaning of an ice layer attached to the cable can be achieved, the needed power consumption is low, the deicing efficiency is high, operation is safe and reliable, various complex weather conditions can be dealt with, and the high-speed rail cable breaking-cleaning integrated deicing device is suitable for popularization and application. And safe operation of the high-speed rail line is ensured.

The utility model belongs to the technical field of rail transit cleaning, and relates to a movable spraying weeding device for rail transit, which comprises a vehicle body, a pesticide storage box, a fixed spraying mechanism and a movable spraying mechanism, the vehicle body moves along a track line; the pesticide storage box is fixed on the vehicle body; the fixed spraying mechanism is communicated with the pesticide storage box; the movable spraying mechanism is communicated with the pesticide storage box; in the moving process of the vehicle body, the fixed spraying mechanism sprays weeding agents to weeds close to the track, the movable spraying mechanism sprays weeding agents to weeds far away from the track, the fixed spraying mechanism and the movable spraying mechanism are matched with each other, it is guaranteed that the weeding agents cover the weeds comprehensively without dead corners, spraying blind areas are avoided, and the weeding efficiency is improved. The weeding effect is improved; meanwhile, by adjusting the height and angle of the movable spraying mechanism, the coverage range of the weeding agent is dynamically adjusted according to the growth condition of the weeds, it is further ensured that the weeding agent effectively covers most weeds, and the weeding effect is improved.

The invention provides a railway electronic map data making method and system, and the method comprises the steps: S1, receiving flat adjustment information and locomotive latitude and longitude information, and judging the driving state of a train set based on the flat adjustment information; s2, station yard code position information of the train set is received, and the position of the train set head or the train set tail on the railway line, a first trackside element spanned by the train set and the moment when the train set head and the train set tail pass through the first trackside element are judged based on the driving state and the station yard code position information; s3, calculating and obtaining longitude and latitude information corresponding to the first trackside element based on the locomotive longitude and latitude information when the train head part and the train tail part pass through the first trackside element; and S4, naming the first trackside element according to a set naming rule, and generating electronic map data based on the named name of the first trackside element and the latitude and longitude information of the first trackside element. The method has the advantages that the whole-line electronic map data drawing is realized, and the on-site survey and data manufacturing cost is saved.

The utility model relates to the technical field of integral crossing plates, and discloses an integral crossing plate for large-height-difference connection of a railway road at a railway level crossing, a first track groove and a second track groove are sequentially arranged on a crossing plate body from the inner side to the outer side of a turning radius, and the top surface of the crossing plate body is provided with a first track groove and a second track groove. A downward slope surface is arranged on the outer side face of the turning radius of the second track groove in the road connection direction, and / or an upward slope surface is arranged on the inner side face of the turning radius of the first track groove in the road connection direction, so that the height difference between the railways and the roads and the height difference between the two railway lines are reduced and avoided, the length of the connection slope is shortened, and slope making is avoided; therefore, construction difficulty and cost are reduced, the implementation period is shortened, and the device has the advantages of being simple in structure, high in practicability and good in using effect.

Embodiments of the present application disclose a method and system for positioning a rail transit train. Ultra-wideband (UWB) ground sensors are arranged on a rail line, and UWB vehicle-mounted sensors are arranged at set positions of the train. The UWB vehicle-mounted sensors include a UWB vehicle-mounted host and a UWB vehicle-mounted antenna that are connected to each other. The method includes: collecting distance information between the UWB ground sensors and the UWB vehicle-mounted antenna; calculating the spatial coordinates of the UWB vehicle-mounted antenna by using the distance information and the coordinates of the UWB ground sensors; and determining the positioning information of the train according to the spatial coordinates of the UWB vehicle-mounted antenna. Through the solution of this embodiment, the active positioning function of the mountain rail transit train is realized, and the positioning accuracy requirements are met.

The invention discloses an image-based three-dimensional railway steel rail center line automatic extraction and reconstruction method and device, and the method comprises the steps: building an RTLP tracking railway line through a simulation train based on a Kalman filtering frame, and carrying out the RTLP initialization and RTLP tracking. Firstly, on the basis of reconstructed scene three-dimensional line segments, RTLP is initialized based on geometric feature constraints and texture alignment based on DBSCAN clustering of depth features, and RTLP seeds are formed. Then, on the basis of the RTLP seeds, predicting the growth direction of the RTLP seeds according to the inertia direction of a train, constructing a predicted value, detecting a two-dimensional railway center line in an image block based on a Hough frame, and performing three-dimensional reconstruction and constructing an observation value based on parallel constraints; and finally, based on a discrete Kalman filter, fusing the observed value and the predicted value, updating the state, and carrying out next Kalman filtering until RTLP is overlapped or the observed value cannot be stably reconstructed. According to the method provided by the invention, the railway center line can be completely reconstructed with high precision.

The invention discloses a railway line track displacement state automatic monitoring system, and relates to the technical field of track monitoring. The railway line track displacement state automatic monitoring system comprises an indoor host system and an outdoor extension set, and the indoor host system and the outdoor extension set are in transmission connection through cloud signals. The outdoor extension set is in signal transmission connection with an A-type monitor and a B-type monitor. According to the railway line track displacement state automatic monitoring system, the system setting module carries out first-level alarm and second-level alarm according to the percentage of the data exceeding the threshold value, so that workers are reminded to pay attention to the displacement problem of the tracks corresponding to the positions of the A-type monitor and the B-type monitor, and when no train passes by, the system setting module gives an alarm to the position of the A-type monitor and the position of the B-type monitor. And the indoor host system transmits the section data to the guide maintenance group, so that the guide maintenance group performs corresponding maintenance work, real-time monitoring of the track is realized, manual measurement is not needed any more, and potential safety hazards existing in manual measurement are reduced.

The invention discloses a high-speed rail line gale prediction system and method, and relates to the technical field of high-speed rail gale prediction. The system for predicting the gale along the high-speed rail comprises a multi-scale grouping representation module, a comprehensive prediction module and a data enhancement module, the multi-scale grouping representation module is used for generating a wind speed preliminary prediction value; the comprehensive prediction module is used for generating a final wind speed prediction value; the data enhancement module expands the diversity of the original wind speed data set. Based on the high-speed rail line gale prediction system, the high-speed rail line gale prediction method comprises the following steps: grouping multi-scale data; carrying out multi-dimensional attention feature fusion; calculating a preliminary predicted value; calculating a final predicted value; carrying out combined optimization training; expanding an original wind speed sample; and performing consensus enhancement training. The method has the advantages that through collaborative design of multi-scale feature fusion, dynamic adaptive weighting and unsupervised enhanced training, the three core problems of sudden wind speed report missing, noise sensitivity and marking dependence in high-speed rail gale prediction are solved, and the operation efficiency and safety of high-speed rail lines are improved.

The invention relates to a method for automatically controlling the ballast volume of at least one section of railway track, the ballast being spread around the railway track in the form of a berm, characterized in that it comprises a step of acquiring at least one point cloud of the section of railway track and the terrain surrounding said at least one section of railway track, a step of extracting the rails (14) of the track to be studied from the point cloud, a step of creating a digital terrain model (200) of the section of railway track from the point cloud, a step of creating at least one theoretical ballast profile (36a, 36b, 36a, 36b') from predetermined standard data, and a step of calculating the conformity of the ballast volume with respect to the theoretical profile

The invention discloses a high-speed rail network service energy-saving system and method. The system is characterized in that a plurality of 5G base stations are arranged along a target high-speed rail line, and each base station manages a cell and provides network service for terminals on the high-speed rail; the base stations at the head and tail ends are configured as sentry base stations, and the rest are intermediate base stations. The distance between the starting-point-side sentry base station and the starting point is not smaller than the acceleration distance of the high-speed rail; the sentry base station works in a first preset time period every day and sleeps in other time periods; and the intermediate base station works in a second preset time period every day and sleeps in other time periods. The first preset time period starts earlier than the second preset time period, and the two time periods are the same; and in the difference time period, when the sentry base station detects that the terminal is accessed, notifying the intermediate base station to switch to the working mode in advance. The technical problem that the sleep time of a 5G base station in a related high-speed rail network service scene is fixed, and the perception of early-shift high-speed rail users cannot be guaranteed is solved.

To provide a railroad wayside facility inspection system which can perform inspection of a railroad wayside facility with efficiency and accuracy.SOLUTION: A railroad wayside facility inspection system comprises an image acquisition unit, an inspection adaptability acquisition unit, an image selection unit, and an anomaly detection unit. The image acquisition unit is provided in a railroad vehicle, and acquires captured images from a plurality of imaging devices which can capture a railroad wayside facility which is an inspection object included in wayside on which the railroad vehicle travels from multiple directions. The inspection adaptability acquisition unit acquires an inspection adaptability parameter for determining whether or not to consider the captured image as an analysis object image for inspection of the railroad wayside facility, based on at least a content of the captured image. The image selection unit selects the analysis object image from the plurality of captured images, based on the inspection adaptability parameter. The anomaly detection unit detects presence / absence of abnormality of the railroad wayside facility by using the selected analysis object image.SELECTED DRAWING: Figure 3

The invention relates to the technical field of intelligent rail transit, and discloses a rail line detection method based on semantic segmentation. The method comprises the following steps: acquiring a track line image by using a laser camera, and preprocessing the acquired track line image by using a preprocessing module to obtain a preprocessed image; extracting track line features according to the preprocessed image through a backbone network; carrying out binarization segmentation on the extracted track line features by utilizing a binary segmentation module, carrying out track region division on the extracted track line features by utilizing a track embedding module, and clustering all pixels belonging to the same track line by utilizing segmentation results and division results; and carrying out fitting on the clustered pixels by utilizing a least square method post-processing module, and outputting a complete visual track line. Therefore, the robustness, the detection precision and the real-time performance of track line detection can be improved.

The invention discloses a train control method in a wet rail scene, and the method comprises the steps: a vehicle-mounted VOBC uploads train slip alarm information to a central ATS system based on collected slip alarm and / or signal side slip alarm information after vehicle processing; after the vehicle-mounted VOBC of the current vehicle reports slip, zero speed and degradation state information to the ZC / RC, the ZC / RC forwards the corresponding information to the vehicle-mounted VOBC of the rear vehicle closest to the same interval; and the rear vehicle manually sets or cancels the wet rail mode based on remote and / or local. By means of the method, the intelligent level of signal system processing response under the wet rail line condition is improved, so that a driver is matched to reduce the slip probability of the line under the wet rail condition and the emergency braking probability caused by invalid train speed measurement, and the system availability under the wet rail condition is improved.

The invention relates to the technical field of rail detection, in particular to a rail thickness detection device for rail traffic maintenance, which comprises a vehicle body, frames are fixedly mounted at two ends of the vehicle body, towing hooks are fixedly mounted on the outer walls of the frames, mounting shafts are fixedly arranged at two ends of each frame, and bearing parts sleeve the outer sides of the mounting shafts. The outer sides of the bearing parts are rotationally sleeved with wheels, a movable plate is movably arranged above the vehicle body, a support is fixedly installed on the upper surface of the movable plate, reinforcing ribs distributed at equal intervals are fixedly installed on the two sides of the support, and the ends of the reinforcing ribs are connected with the upper surface of the movable plate. The detection device can automatically walk on the rail, continuous detection of the thickness of the rail is achieved, the detection efficiency is greatly improved, compared with a traditional manual detection mode, the detection speed is greatly increased, the detection range is greatly widened, and the detection requirements of large-scale railway lines can be met.