738 results about "Rail transportation" patented technology

The invention provides a railway track periodical intelligent monitoring method based on the Internet of Things. The railway track periodical intelligent monitoring method comprises the steps that track geometric deformation data and track temperature distribution data are collected through sensing nodes deployed beside a track and on the track; extracting abnormal sections in the track geometric deformation data based on time window segmentation, and mapping the abnormal sections to a space grid of the track temperature distribution data to generate a deformation-temperature incidence matrix; calculating a track stress change gradient by combining the matrix and historical track temperature distribution data, and generating a track health degree evaluation index; and when the track health degree evaluation index meets a preset degradation condition, inputting the time sequence multi-source fusion data into a deep learning track state prediction module, and outputting a track failure risk level. According to the invention, the efficiency, accuracy and intelligent level of railway track monitoring can be improved, and the safety and reliability of railway transportation are guaranteed.

The invention discloses an electric locomotive rail obstacle identification method, device and system and electronic equipment, and relates to the technical field of rail transit. The method comprises the following steps: acquiring geographic information along a track and current positioning information, acquiring current radar information to perform obstacle detection when a driving state is determined according to the current positioning information, and performing a first alarm and acquiring current video image information when a suspected obstacle is detected; performing time-space synchronization and data fusion on the current positioning information, the current radar information and the current video image information, and inputting the fused data, the locomotive running state data and the geographic information into a pre-established obstacle recognition model to recognize a suspected obstacle to obtain a recognition result; and determining a risk level according to the identification result, so that the electric locomotive gives a second alarm according to the risk level and takes countermeasures. According to the invention, multi-source data is acquired through various sensors, accurate identification of small targets is realized, and the safety of railway transportation is guaranteed.

The invention provides a railway automatic goods yard loading and unloading operation method, and relates to the technical field of railway goods yards, and the method is characterized in that a railway automatic goods yard goods loading and unloading operation system comprises a loading and unloading machine tool positioning system, a goods positioning system and a loading and unloading machine tool management system; the railway freight yard is provided with a freight car loading and unloading operation area, a warehouse operation area and a railway freight car loading and unloading operation area, and goods are loaded and unloaded in different areas. The loading and unloading machine tool management system controls the loading and unloading machine tools to carry out truck unloading operation and truck loading operation in the truck loading and unloading area, carry out warehousing operation and ex-warehouse operation in the warehousing operation area and carry out railway loading operation and railway unloading operation in the railway loading and unloading area. According to the method, rapid loading and unloading, efficient stacking and intelligent management of goods can be achieved, and the efficiency and competitiveness of railway transportation are improved; meanwhile, labor cost can be reduced, operation risks are reduced, and the automation degree of the railway freight yard is improved.

The invention discloses a ballastless track concrete bonding interface mechanical state testing method, belongs to the technical field of track traffic engineering, and realizes a multi-field coupling loading test on a ballastless track interlayer test piece by constructing an interlayer mechanical testing device comprising a servo loading mechanism, a DIC technology and finite element mechanical analysis. A high-speed camera is adopted to synchronously record the whole process of interlayer interface damage, an interface stress distribution cloud picture is obtained in combination with a distributed strain patch, and a load-displacement curve and interlayer slippage data are synchronously collected. A refined finite element model containing a cohesion unit is established based on measured data, and iterative fitting of a simulation result and test data is achieved by dynamically adjusting interface damage parameters. According to the method, the limitation of a traditional single-point stress test is broken through, space-time multi-scale analysis of interlayer mechanical behaviors is achieved, the technical problems that an interlayer interface failure mechanism is not clear and simulation model parameters are difficult to calibrate are solved, and a novel test is provided for durability evaluation of a ballastless track structure.

The invention provides a railway safety protection system, which comprises a laser correlation detection module formed by a laser transmitting end and a laser receiving end symmetrically arranged on two sides of a railway opening and used for generating a plurality of groups of laser grating networks and monitoring a light beam shielding event in real time; the intelligent analysis module is used for identifying the type of an intrusion target according to the shielding signal of the laser grating network and analyzing a target movement track to filter false triggering; the alarm linkage module is used for triggering a sound-light alarm after the invasion is confirmed, closing a railway barrier gate and sending alarm information to a control center; the monitoring integration module is used for being linked with a video monitoring system to call the high-definition image of the intrusion area and assisting in judgment through AI image recognition; and the environment self-adaption module is used for integrating a temperature and humidity sensor and a wind speed sensor to dynamically adjust a laser sensitivity threshold value to adapt to environment change. Personnel invasion at the railway crossing of the thermal power plant is monitored through a laser correlation technology, so that unauthorized personnel or vehicles are prevented from entering a railway transportation area of the thermal power plant, and the operation safety of the thermal power plant is guaranteed.

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

The invention discloses a manufacturing defect-oriented multi-scale composite material mechanical property prediction method, and belongs to the technical field of composite material mechanical property analysis. The method comprises the following steps: based on a multi-scale representative volume element (RVE) theory, respectively constructing parameterized models containing pores and fiber dislocations in a microscopic scale and a mesoscale; the equivalent elastic parameters under each scale are calculated through a finite element numerical homogenization technology, and an agent model is constructed in combination with an artificial neural network, so that the calculation cost is remarkably reduced, and the high-efficiency cross-scale prediction of the rigidity and strength performance of the composite material is realized. The method overcomes the defect of defect modeling of a traditional model, has high precision and high efficiency, and is suitable for performance evaluation and optimization design of composite material structures in the fields of aerospace, rail transit and the like.

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 discloses a railway transportation cargo loading and unloading device based on vision, and relates to the technical field of railway transportation cargo loading and unloading, and the railway transportation cargo loading and unloading device comprises a mobile bearing platform which is used for moving in a railway freight scene and providing an operation base, and a multi-modal visual acquisition assembly, a central controller, a self-adaptive loading and unloading assembly and the like are integrated to cooperate to load and unload cargos; a complete railway cargo intelligent loading and unloading operation mode is formed, cargo form and weight and carriage space three-dimensional information are sensed in real time as a whole, the optimal stacking sequence and grabbing strategy can be decided independently as a whole, self-adaptive adjustment is effectively carried out according to the actual situation of on-site cargoes and the real-time space of a carriage, and the working efficiency is improved. By means of the technical scheme, heavy object bottom-layer placement, space maximum utilization and gravity center stability optimization are achieved, the problems of low efficiency and high risk caused by the fact that traditional loading and unloading depend on manual experience are fundamentally solved, meanwhile, the equipment rapid reloading and multi-mode grabbing mechanism can adapt to different vehicle types and goods materials, and the equipment universality and operation reliability are greatly improved.

The invention relates to the technical field of railway transportation safety, in particular to a multi-source data fusion train area sensing and active protection system and method.The method comprises the steps that a data acquisition module obtains obstacle sensing data in front of a train and receives state and position data reported by a personnel terminal; the space-time reference and electronic fence management module provides unified positioning and map services and generates an electronic fence according to a plan; the multi-source situation fusion module carries out fusion processing on the information to generate a global dynamic situation; the real-time risk quantification module calculates a collision time TTC based on the situation, and outputs an evaluation result according to a dynamic risk model; the intelligent early warning decision-making module generates a graded early warning instruction containing specific action guidance; and finally, the early warning cooperative execution module synchronously distributes the instruction to the train and personnel terminal. According to the invention, the conversion from passive monitoring to active early warning is realized, and the safety protection capability of driving and operation in a complex environment is improved.

The invention relates to the field of image detection, discloses a dynamic analysis system for cracks of a railway track, and aims to solve the problems of strong background interference, high error and omission ratio and single dynamic analysis dimension of track crack detection in the prior art. The system is characterized by comprising a texture library construction module, an image acquisition module, an image processing module, a texture expansion module, a damage judgment module and a dynamic analysis module. By constructing a multi-dimensional texture library and combining with an image processing and texture expansion module, accurate identification and hierarchical judgment of cracks are realized; and performing damage assessment and development trend prediction on the crack through multi-characteristic index damage judgment and dynamic analysis. According to the method, accurate, comprehensive and dynamic monitoring and evaluation of the railway track cracks can be realized, the false alarm and omission ratio is reduced, the maintenance efficiency and accuracy are improved, and the railway transportation safety is guaranteed.

The invention provides intelligent assistant software of a motor train unit and a fault diagnosis and disposal method thereof, and belongs to the technical field of railway transportation. Through cooperative work of the central control unit and multiple modules, intelligent closed-loop management of fault processing of the motor train unit is realized: the system can analyze HMI fault information in real time and automatically match an optimal maintenance scheme, and by combining three-dimensional space positioning, a dynamic circuit schematic diagram and a fault processing scheme, the fault positioning and processing efficiency is remarkably improved; through torque standard automatic pushing and visual guidance, the risk of manual operation errors is effectively reduced; the emergency response time is greatly shortened based on an automatic notification mechanism of a fault level and generation of a personalized disposal scheme; through intelligent linkage and data sharing among the modules, whole-process auxiliary decision support from fault discovery, diagnosis analysis to disposal implementation is formed, normalization and accuracy of maintenance operation are improved, and system performance is continuously optimized through historical data accumulation and adaptive learning.

The embodiment of the invention provides a rail distance measuring device for rail transit, and relates to the technical field of rail distance measurement. A track distance measuring device for track traffic comprises a measuring body, two sets of moving assemblies, a marking assembly, a driving part, an auxiliary measuring mechanism and a sealing assembly, and the two sets of moving assemblies are located on the two sides of the measuring body respectively and used for walking on a track; the auxiliary measuring mechanism is mounted on one side of the measuring body, and two ends of the auxiliary measuring mechanism are respectively contacted with the inner walls of the two groups of rails. High-precision track gauge measurement is achieved through the measuring wheel and the encoder, track gauge abnormity is sensed in real time in combination with the side rolling wheel and the displacement sensor, automatic marking is achieved in cooperation with the pump body, the storage box and the liquid outlet pipe, and leakage is prevented through the sealing assembly in the non-working state; meanwhile, full-automatic control over rolling wheel avoiding, sealing relieving and liquid spraying marking is achieved through a driving part linkage mechanism, and the track detection precision, efficiency, the intelligent level and the device reliability are remarkably improved.

To enable a user to access a station without crossing a track.SOLUTION: This track traffic system comprises a track including a travel path with which a running wheel can come into contact, and a guide rail that guides a traveling direction of a vehicle by being in contact with a guide wheel outside the running wheel in a width direction. The track includes a plurality of single-line station sections in which a first travel path which is the travel path is disposed and which has a station facing only the first travel path, a double-line section in which the first travel path and a second travel path which is the travel path disposed in parallel with the first travel path to move the vehicle in a reverse direction of the first travel path are arranged, and a branch section which has a branch path for changing a travel destination of the vehicle between the first travel path and the second travel path and which is adjacent to the single-line station sections. The guide wheel is disposed only on one side in the width direction with respect to the vehicle body.SELECTED DRAWING: Figure 1

The utility model discloses a frame trolley adaptive to sleeper replacement of a steel beam open bridge floor, which is characterized in that the frame trolley comprises a pair of walking frames, and the two walking frames are arranged in parallel; the suspender and the plurality of connecting rods are respectively connected between the two walking frames; the plurality of walking wheels are respectively mounted at the bottom of the walking frame, so that the walking frame can move along a walking track of an open bridge floor; and the lifting hole is connected to the lifting rod and used for installing a chain hoist, and the bridge sleeper is lifted and carried on the walking track through the lifting hole and the walking wheels by the walking frame. The frame trolley has the advantages that the frame trolley can be used for transporting and installing the bridge sleeper on the steel beam open bridge floor, the working efficiency of replacing the composite material bridge sleeper can be improved, manpower is saved, meanwhile, the skylight occupancy rate can be reduced, and the influence on railway transportation is reduced.

The invention provides an intelligent molten iron transportation system and an intelligent molten iron transportation operation method, and the system comprises an iron ladle whole-process management and control subsystem which is used for generating an iron ladle scheduling instruction according to an existing iron ladle resource state under the condition that a blast furnace tapping plan, a steelmaking plan or a steel rolling plan is received, generating a hot metal car dispatching instruction according to the current hot metal car use state and the line resource state; the intelligent molten iron vehicle monitoring subsystem is connected with the molten iron ladle whole-process management and control subsystem and is used for generating a transportation path instruction containing a transportation path according to the received dispatching instruction and transmitting the transportation path instruction to the intelligent molten iron automatic driving system; and the intelligent molten iron automatic driving system is connected with the intelligent molten iron vehicle monitoring subsystem and is used for controlling the molten iron vehicle to arrive at a specified tap hole to start receiving iron according to the transportation path instruction and controlling the molten iron vehicle to transport the heavy package to a steelmaking or steel rolling heavy package parking place after the iron receiving is finished. The defect that in-plant railway transportation informatization and intelligentization are insufficient in the prior art is effectively overcome.

The invention provides a train material volume detection method, device and equipment based on millimeter wave radar, and relates to the technical field of railway transportation intelligent detection and three-dimensional point cloud data processing. The method comprises the following steps: acquiring point cloud data obtained by scanning a train through a millimeter wave radar, and preprocessing the point cloud data to obtain a train main body point cloud; wherein the point cloud data comprises position coordinates of points; on the basis of density change characteristics of the train main body point cloud in the train advancing direction, carriage connection gaps are recognized; based on the compartment connection gap and the preset compartment length, compartment section point clouds are divided from the train main body point clouds; and based on the coordinates of the points in the compartment section point clouds in the train height direction, material surface point clouds are extracted, and material volume calculation is carried out based on the material surface point clouds. The system can stably run in a loading building environment with large dust, strong shielding and complex illumination, and provides a reliable technical means for real-time loading monitoring of bulk materials of a train.

The invention discloses a method for generating a post-earthquake seismic oscillation parameter field in a peripheral area of a railway by considering a topographic site, which can consider the influence of topographic features on seismic oscillation, improve the estimation precision of the post-earthquake seismic oscillation parameter field and provide technical support for post-earthquake inspection and driving order recovery. Meanwhile, railway workers can carry out targeted field inspection according to the mileage range, the inspection range is reduced, the emergency disposal time is shortened, the road network post-earthquake emergency disposal capacity is improved, the post-earthquake loss is reduced, and the railway transportation safety is guaranteed; moreover, the calculation work can be completed before the earthquake occurs, the calculation amount is relatively small after the earthquake occurs, and the actual demand of quick response after the earthquake of the railway can be met; besides, earthquake rapid report and station observation data from an earthquake station network center are comprehensively applied, information of a railway self-built station is fused, information utilization is comprehensive, and meanwhile, earthquake oscillation around the railway is better reflected.

The invention discloses a railway turnout fault diagnosis method based on power data, and relates to the technical field of rail transit. The method comprises the steps that power data when a train passes through a railway turnout and displacement of a switch rail and a stock rail are obtained and preprocessed, and standardized feature vector data are obtained; acquiring temperature data of a time node corresponding to the standardized feature vector data; correcting the standardized feature vector data according to the temperature data; and inputting the corrected standardized feature vector data into the trained deep cavity convolution long-short-term memory network attention model, and outputting the railway turnout fault type, thereby effectively improving the diagnosis accuracy of the railway turnout fault type, building a scientific foundation for operation and maintenance decisions through the accurate diagnosis result and prediction result, and improving the reliability of the railway turnout fault type diagnosis. And operation and maintenance personnel can plan a maintenance strategy in advance, so that sudden faults of equipment are effectively avoided, and safe and stable operation of railway transportation is stabilized.

The invention discloses a train working diagram station track adjustment method and system fused with multi-dimensional inspection. The method comprises the steps that train operation adjustment result data containing station track change information are received; generating an adjustment result dialog box which can be switched between a simplified version and a detailed version according to the adjustment result data; in the adjustment result dialog box, in response to a screening condition input by a user, screening the adjustment result data, and carrying out statistics on the screened data; displaying station track change entries in the adjustment result dialog box, and highlighting the unconfirmed station track change entries with a first visual identifier; in response to an interaction operation of a user on the station track change item, providing a station track adjustment option; and based on the station track adjustment option selected by the user, executing a corresponding station track adjustment operation or multi-dimensional feasibility check, and updating a station track adjustment result. The railway transportation quality can be improved, and the working intensity of dispatchers is relieved.

The invention discloses a highway-railway combined transportation scheduling method and system based on digital twinning and multi-agent cooperation. The method comprises the following steps: establishing a unique binding relationship of people, vehicles and goods in a transportation order based on an RFID binding algorithm, and synchronizing the unique binding relationship to a database; collecting railway transportation state data, road transportation state data and freight station operation data in real time; standardizing the railway transportation state data, the road transportation state data and the freight station operation data through a multi-source data fusion center; the connection time, the route and the parking position of the road vehicle are dynamically adjusted based on the LSTM collaborative scheduling model, and a road vehicle diversion and waiting duration estimation scheme under the emergency situation is output; railway carriage demands are predicted through LSTM, dynamic optimal matching of road trucks and railway carriages is dynamically matched based on a mixed integer programming model, an optimal matching scheme of the road trucks and the railway carriages is generated, unique binding of people, vehicles and goods is achieved by introducing an RFID technology, information barriers are broken, and real-time sharing and standardized interaction of data are achieved.

The invention discloses a method for automatically identifying, tracking and positioning a vehicle in a railway station, relates to the technical field of railway transportation management, and solves the problems that a three-level judgment mechanism is difficult to construct to identify the vehicle in combination with multi-sensor data, and automatic conversion from coordinates to tags is difficult to realize through a digital twin model. The technical problem of lack of prediction variance-based weight adjustment and joint loss function for balancing the multi-task training effect is solved; comprising the steps that multi-source data are collected by constructing a comprehensive monitoring system, and automatic vehicle recognition is achieved in combination with a three-level judgment mechanism; calculating vehicle position information by using a Kalman filtering algorithm and a railway yard special coordinate system, and mapping coordinates into semantic position tags through a digital twin model; a multi-task neural network framework is constructed based on historical data and semantic tags, the weight of a loss function is dynamically adjusted to optimize a joint loss function, and efficient semantic prediction and classification of vehicle positions are achieved.

The invention relates to TBM water conveyance tunnel lining steel pipe installation and transportation equipment and a transportation and installation method, the TBM water conveyance tunnel lining steel pipe installation and transportation equipment comprises a rail transportation system, a transfer system, a wheel type transportation system, an installation butt joint device and temporary supporting profile steel, the rail transportation system is arranged on a drilling and blasting tunnel section, and the transfer system is arranged at the junction of the drilling and blasting tunnel section and a segment tunnel section; the wheel type transportation system is arranged on a pipeline, and the installation butt joint device is arranged at the end of a lined section. The rail transportation system and the transfer system share the same group of rails at the intersection; the installation and construction of the lining steel pipe of the TBM water delivery tunnel with the engineering quantity smaller than 1 kilometer can be facilitated, the construction efficiency is improved, and the cost is reduced.

The invention discloses a global and neighborhood feature fused railway network node importance degree evaluation method. The method comprises the following steps: obtaining railway transportation network node evaluation data; constructing a railway transportation facility topology network and railway transportation service complex network model; analyzing the global importance of the railway network nodes; outputting neighborhood attributes of the railway network nodes; setting a global and neighborhood feature fusion factor, and calculating a network node comprehensive importance index; and evaluating the importance of the railway network nodes. According to the method, the node importance of the railway transportation complex network is rapidly and accurately evaluated, the node importance evaluation result is more objective and accurate by fusing the global and neighborhood characteristics of the railway network nodes, and technical service support is provided for scientific and efficient railway transportation planning and complex network node importance analysis.

The invention discloses a railway driver distraction behavior identification method based on a visual large model, and belongs to the technical field of railway safety monitoring. Comprises: constructing a data set; based on the data set, training the visual big language model by adopting a LoRA method to obtain a fine-tuning visual big language model; obtaining human body key point information on the original video data frame, and generating a skeleton diagram; and inputting the skeleton graph into the fine-tuning visual large language model, and outputting description information of the image and a corresponding cue word. According to the method, the technical route of lightweight posture recognition and visual large language model analysis is fused, and the posture of the driver is captured by adopting a character key point detection tool; meanwhile, a visual large language model is introduced, and correlation analysis of operation behaviors and environment equipment is achieved by constructing a driving scene knowledge graph; the performance bottleneck of a traditional monitoring system is broken through, a technical template capable of being copied and popularized is formed, and the method has important practical significance for improving the intrinsic safety level of railway transportation.

The invention discloses an energy absorption device and a rail vehicle, and relates to the technical field of rail traffic, the energy absorption device comprises a base assembly, a first shaft sleeve, a guide shaft assembly and an energy absorption assembly, the base assembly is used for being connected to the front end of a vehicle body, and a first guide hole is formed in the base assembly. The first shaft sleeve is inserted into the first guide hole, and a second guide hole coaxial with the first guide hole is formed in the first shaft sleeve. The guiding shaft assembly is inserted into the second guiding hole, the energy absorption assembly surrounds the periphery of the base assembly, the first shaft sleeve and the guiding shaft assembly, one end of the energy absorption assembly is connected to the base assembly, and the other end of the energy absorption assembly is connected to the guiding shaft assembly. According to the energy absorption device provided by the invention, the multi-stage telescopic structure provides guidance for crumple of the energy absorption assembly, deformation is orderly and controllable, and the overall length is shortened to a certain extent on the premise that the effective compression deformation stroke is guaranteed, so that the installation requirement in a limited space is met.

The invention relates to the technical field of intelligent logistics, in particular to an intelligent logistics collaborative scheduling method based on multimodal transport dynamic optimization, which comprises the following steps of: acquiring high-speed and railway transport data through the Internet of Things, generating an all-road-condition data set, evaluating and eliminating an overload path, matching resources according to task timeliness and cargo attributes, sequencing, continuously tracking and dynamically adjusting, and performing collaborative scheduling. And finally, optimizing and generating an optimal scheduling scheme. Traffic monitoring equipment and a sensor are used for collecting flow, speed, load and cargo information of a path, a transportation data set is generated, path load is evaluated according to the flow, bearing capacity and speed, available paths are screened, resources are distributed according to task priority and path load, task progress is tracked in real time, and the priority and resources are adjusted. And path selection is optimized according to the traffic state, so that task timeliness and resource utilization maximization are ensured.

The utility model discloses a novel railway transportation container fixing structure, and relates to the technical field of container fixing. The novel railway transportation container fixing structure comprises a railway flatcar, a rotating block is rotationally connected into the railway flatcar, a baffle is slidably connected into the railway flatcar, a connecting plate is slidably connected into a first sliding rail, a lock head body is arranged at the bottom of the connecting plate, and an adjusting assembly is arranged in the lock head body. The adjusting assembly is used for adjusting the length of the lock head. According to the novel railway transportation container fixing structure, the length of the lock head can be conveniently changed through the adjusting assembly, the two adjusting blocks drive the extending lock head to move reversely by rotating the handle, the length of the lock head is changed, the sizes of corner fittings of different containers can be conveniently fixed, and meanwhile the limiting assembly can control the baffle to be opened and closed; and the lock head after being used for a period of time can be detached for maintenance or replacement.

The utility model discloses a tray for transporting a vehicle and a frame type container. The tray for transporting the vehicle comprises a main frame, at least two tire fixers and at least two forklift grooves, the tire fixer is arranged at the side part of the main frame and is used for limiting a front wheel or a rear wheel of a vehicle parked on the tray, and the fixing position of the tire fixer on the main frame can be adjusted along the length direction of the main frame; the two forklift grooves are formed in the main frame and spaced by a preset distance to be matched with forks of the forklift, and inlets and outlets of the forklift grooves are formed in the side portion or the end portion of the main frame and used for allowing the forks of the forklift to go in and out of the forklift grooves. According to the utility model, the tire fixer is arranged on the pallet, so that the pallet is suitable for fixing vehicles with different axle distances and wheel treads, and the forklift grooves are formed in the pallet, so that the pallet is suitable for a forklift to carry the pallet, the vehicles are convenient to load and unload in a container, and the container is used for railway transportation, thereby obviously reducing the cost of railway transportation vehicles.

A method for monitoring the integrity of a railway system (2) comprises the steps of: acquiring measurement signals from multiple strain sensors (21) on a track rail (6) of the railway system (2); determining the integrity of at least one component (5, 6, 7, 9) of the railway system (2) based on the measurement signals, wherein the multiple strain sensors (21) are components of a linear detection device (19) attached to the track rail (6) and extend over a measuring section (31) along the track rail (6) with a length (L) of at least 100 m; and wherein the integrity is determined by means of an electronic evaluation unit (20) which is in signal communication with the multiple strain sensors (21), in particular at least 100 of the strain sensors (21), for receiving the measurement signals. A monitoring device (1) for monitoring the integrity of the railway system (2).