60 results about "Rail network" patented technology

The invention discloses a post-earthquake railway structure state evaluation method and system based on multi-source data fusion. The method comprises the steps that a finite element model is constructed according to the structure of a regional railway network, a simulation data set is generated, a physical information neural network model is trained, and a proxy model library is formed; acquiring multi-source observation data, and performing inversion according to the Bayesian theory, the structural damage parameters of the physical information neural network agent model and the multi-source observation data to obtain complete posterior probability distribution of the damage parameters; according to the method, statistical characteristics of damage parameters are extracted from posterior probability distribution, probability grading is carried out on the damage degree of the structure, driving constraint suggestions are generated according to the combination of damage probability grading and specifications, and Bayesian inversion time is reduced from several days to several hours through a physical information neural network agent model, so that the evaluation efficiency is improved; the output of the Bayesian method is probability distribution, the uncertainty range of the evaluation result is clearly displayed, and the uncertainty is quantified.

Systems and methods are provided for ultra-wideband (UWB) based navigation of arbitrary paths based on reference markers. A train-mounted unit may be configured to, when deployed on a train, communicate with any wayside unit, from a plurality of wayside units configured for placement on or near tracks in a railway network, that comes within communication range of the train-mounted device, with the communicating including use of ultra-wideband (UWB) signals, and generate based on communication, train location information, with the generating of the train location information including determining based on processing of communicated UWB signals with at least one wayside unit, range to the at least one wayside unit, and determining based on the determined range to the at least one wayside unit, change in range (ΔR) to the at least one wayside unit and change in location (ΔL) on a track in the railway network.

The invention relates to the technical field of video processing, and provides a railway video stream adaptive uploading method and system, and the method comprises the steps: obtaining a to-be-transmitted target video stream and network performance data; determining an uplink bandwidth prediction value based on the network performance data; and fragmenting the target video stream based on the uplink bandwidth prediction value, and uploading fragments of the target video stream. According to the invention, the uplink bandwidth predicted value is determined according to the network performance data, then the target video stream is fragmented based on the uplink bandwidth predicted value, and the fragmentation size is adjusted according to the network bandwidth, so that the uploading success rate and the overall throughput can be balanced in a fluctuation scene of a railway network.

Printing plate logistics system comprising a plate supply (1), a plate disposal (3) and a transport system (2) that connects the plate supply (1) and the plate disposal (3) with several printing presses (4), wherein the transport system (2) comprises a rail network (2.1) and a plurality of transport sleds (2.3) that can travel on the rail network (2.1) and wherein the plate supply (1) comprises a plurality of plate trolley receptacles (1.2) and a plurality of plate trolleys (1.1.1) that can be loaded with multiple plates and positioned in the plate trolley receptacles (1.2) and a manipulator (1.2.3), wherein the manipulator (1.2.3) has a gripper and a multi-axis robot (1.2.1) with at least one linear axis extending over all plate carriage receptacles (1.2) and is designed for removing plates from a respective plate carriage (1.1.1) and transferring the plates to a respective transport carriage (2.3), wherein the manipulator (1.2.3) is associated with a camera that can be moved together with the manipulator (1.2.3) for detecting marks on a plate to be detected or detected by the manipulator (1.2.3), wherein the camera is guided movably solely via the linear axis or, in addition to being guided movably on the linear axis, is also mounted movably in other spatial axes.

The invention discloses a digital railway network multi-source topological data comparison method, which comprises the following steps: S1, constructing a railway operation topological network based on train operation data to form a time sequence topological reference for reflecting the actual use state of a railway network; s2, constructing a railway physical topology network based on the infrastructure related data, wherein the railway physical topology network is used for describing railway lines, stations and engineering connection relations thereof; and S3, performing topology comparison and consistency analysis between the railway operation topology network and the railway physical topology network to form a topology check result. According to the method, the specific linear space-time continuity constraint of the railway network is introduced, the railway operation topology is constructed as the space-time reference, and the railway operation topology is gradually compared and reasoned with the physical topology data with heterogeneous sources, so that the automatic consistency analysis and checking among the multi-source topology data are realized, and the problem that the consistency of the multi-source topology data can only be checked manually item by item is solved. And large-scale and continuously updated engineering requirements are difficult to meet.

An adjustment system (1) for adjusting magnetic rail contacts (2) on rails (3) for rail vehicles comprises an adjustment device (4) and a connecting part (5). The adjustment device (4) has a main unit (6), wherein the connecting part (5) is configured to be connected to a connection point (7) of a rail network – for example, to a cable distributor. The adjustment device (4) is configured to measure the actual contact path length of a magnetic rail contact (2) by contacting a rail (3). The adjustment system (1) has at least one receiver unit (4, 10). The connecting part (5) comprises a signal transmitter (41) for wireless transmission of signals to the receiver unit (4, 10), wherein the receiver unit (4, 10) has a signal receiver (43, 44).

The invention relates to power supply devices for equipment on a railway network. The claimed device comprises feeder input and protection units, an input unit comprising a feeder connection circuit and a bypass circuit, an uninterruptible power supply, a battery cabinet, an automatic power shut-off unit, an isolation transformer, a power distribution unit, a rechargeable battery pack, and a transformer power distribution unit. The inlets of the feeder input and protection units are connected to the automatic power shut-off unit, the uninterruptible power supply and the rechargeable battery pack. The outlets of the feeder input and protection units are connected to the feeder connection circuit, a first outlet of which provides a guaranteed power output, and a second outlet of which is connected to the isolation transformer, and connected in parallel to the outlet of the isolation transformer via the bypass circuit and the uninterruptible power supply are the power distribution unit, which provides an uninterruptible power output, and the transformer power distribution unit, which provides redundant power outputs. The interruptible power supply is connected to the battery cabinet, and the rechargeable battery pack is connected to the input unit. The technical result consists in providing an uninterrupted power supply to railway automation and remote control devices.

The application discloses an automatic railway network data risk level classification method and device, wherein the method comprises the following steps: determining the ordered attribute and unordered attribute of each data sample in the railway network data based on the data importance level, data life cycle stage, risk type and risk influence degree of each data sample; performing K-means clustering on each data sample based on the ordered attribute and unordered attribute of each data sample, and obtaining a plurality of initial class clusters; performing Gaussian mixture clustering on each data sample based on the cluster center of each initial class cluster and the Gaussian distribution corresponding to each data sample in each initial class cluster, and obtaining a plurality of class clusters corresponding to the railway network data; and determining the data risk level of each class cluster based on the data importance level and risk influence degree of each data sample in each class cluster. The method and device provided by the application improve the effectiveness and accuracy of the risk level classification of the railway network data.

The invention discloses a nuclear medicine storage suspension type robot carrying system, which comprises a suspension type rail network, a carrying robot running along a rail, an automatic low-temperature storage cabinet, a workstation and a central control system, and is characterized in that the carrying robot comprises a sliding seat main body which is arranged on the suspension type rail network in a sliding manner; the rotary dispatching mechanism is arranged on the sliding seat main body; the plurality of independent and closed storage bins are carried by the rotary dispatching mechanism; the mechanical arm is fixedly mounted on the front side of the sliding seat main body; the self-adaptive clamping mechanism is mounted at the output end of the mechanical arm; and the rotary dispatching mechanism is configured to rotate and adjust any storage bin to a fixed operation station corresponding to the self-adaptive clamping mechanism.

The invention relates to a printing plate logistics system comprising a plate supply, a plate disposal, and a transport system that connects the plate supply and the plate disposal with several printing units of at least one printing press. The transport system comprises a self-contained, endless rail network consisting of rail segments, a plurality of transport carriages movable on the rail network, and a plate storage unit. A manipulator is provided that moves a respective plate back and forth between a transport carriage positioned above a respective printing unit and the respective printing unit. The invention also relates to a method for operating a printing plate logistics system, in particular a printing plate logistics system.

The utility model provides an LTE-R remote control drive test instrument. The LTE-R remote control drive test instrument comprises an industrial personal computer, a test module, a positioning module and a communication module, the industrial personal computer is connected with the test module, the positioning module and the communication module. The LTE-R remote control road test instrument provided by the embodiment of the utility model fills the blank of heavy-load railway network optimization automatic test equipment, effectively improves the performance of the road test instrument in the aspects of integration, universality, portability and the like, and can be used as a network optimization automatic test instrument which can be effectively used in all weathers and multiple scenes. The system can be installed in a locomotive to complete automatic network optimization testing of an LTE network, can also be carried by a field engineer to complete field analysis and positioning of LTE network obstacles, and has good social and economic benefits in the aspects of network optimization working efficiency, network optimization testing stability, effectiveness and safe operation.

The application discloses a post-earthquake railway structure state evaluation method and system based on multi-source data fusion, which comprises the following steps: constructing a finite element model according to the structure of a regional railway network, generating a simulation data set, training a physical information neural network model, and forming a proxy model library; collecting multi-source observation data, inverting the complete posterior probability distribution of the damage parameters according to the Bayesian theory, the structure damage parameters of the physical information neural network proxy model and the multi-source observation data; extracting the statistical characteristics of the damage parameters from the posterior probability distribution, probabilistically grading the damage degree of the structure, generating driving constraint suggestions according to the damage probability grading and combining the specifications, and reducing the Bayesian inversion time from several days to several hours through the physical information neural network proxy model, thereby improving the evaluation efficiency; the output of the Bayesian method is a probability distribution, which clearly shows the uncertainty range of the evaluation result and quantifies the uncertainty.

A printing plate logistics system comprising a plate supply (1), a plate disposal (3), and a transport system (2) connecting the plate supply (1) and the plate disposal (3) to several printing presses (4), wherein the transport system (2) comprises a rail network (2.1) comprising rail segments and a plurality of transport carriages (2.3) movable on the rail network (2.1), and at least one printing press (4) has a plate changing device with a shaft, and wherein a rail segment of the rail network (2.1) runs in the area of ​​the plate changing device and is designed to be vertically displaceable relative to adjacent rail segments, wherein means for fixing a respective transport carriage (2.3) on the rail segment when the rail segment is displaced are assigned to the vertically displaceable rail segment, and wherein each transport carriage (2.3) has a mechanical gripper system (2.3.1) for suspending and fixing a respective plate, which is held in a closed position by a power storage device.

The utility model relates to a koji block transfer system. The system comprises a dry koji basket; the vertical lifting subsystem comprises a vertical lifter connected with a first floor and a second floor, the first floor is provided with a discharging conveyor, and the second floor is provided with a feeding conveyor; the transfer subsystem is arranged on the first floor and comprises a connection conveyor and a jacking transfer machine, and the jacking transfer machine is connected between the discharging conveyor and the connection conveyor; and the air conveying subsystem comprises a rail network arranged on the first floor and an automatic transfer trolley running along a rail, the automatic transfer trolley is used for transferring the dry yeast baskets, and the rail network covers the yeast block putting area and the connection position. According to the scheme, a continuous conveying network is formed through seamless connection of the ground subsystem, the vertical subsystem and the air subsystem, the middle stagnation link of traditional manual carrying is eliminated, more time and labor are saved, the transfer efficiency is greatly improved, automatic and uniform feeding can be achieved, manual yeast block stacking treatment is not needed, production safety is improved, and occupational injuries are reduced.

System (500, 600) for automatically coupling and releasing a second vehicle traveling on a railway network and at least a first vehicle (90a) having a buffer system (92a), the system (500, 600) comprising at least a first hooking group (510, 610) of the first vehicle (90a); a retractable screw body (523, 623); and a horizontal shaft (542, 642); at least a second hooking group of the second vehicle comprising an automatic head comprising a first end element and a second end element configured to be coupled to each other by complementary interlocking. The front structure (518, 618) of the first hooking group (510) comprises: a retractable screw body (523, 623); the first hooking group (510, 610) comprises a tubular cavity (522, 622); and the second hooking group comprises a screw thread.

This application relates to the field of intelligent operation and maintenance technology for rail transit, and discloses a method and system for collaborative inspection of track and overhead contact line using unmanned aerial vehicles (UAVs). It aims to solve problems in existing inspection modes, such as isolated multi-UAV task planning, fragmented perception modes, insufficient system autonomy, and low efficiency, incomplete coverage, and data silos caused by disconnection from train operation sequences. The method includes: receiving traffic control commands and selecting available UAVs, dividing inspection subgroups according to task type; and generating a globally optimal task sequence and flight path through multi-objective optimization. This application achieves synchronous perception of all elements of the track and overhead contact line, multi-UAV collaborative scheduling, and closed-loop control through the above scheme, improving data consistency to over 98%, increasing operational efficiency by 40%, supporting efficient inspection of 50 km of track, and achieving a defect detection rate of 96.7%. It is suitable for intelligent operation and maintenance of large-scale railway networks.

The application discloses a high-speed rail key node identification method fusing island effect under a super network, and relates to the technical field of complex network science. The method first constructs a high-speed rail super network according to a super network theory, calculates a correlation matrix and an adjacency matrix; then calculates static topological indexes such as node super degree and node betweenness by using the two matrices; subsequently, a super network closeness centrality index is calculated, and a super network efficiency is derived according to a global average value of reciprocal of the shortest path length between node pairs, so as to evaluate node criticality; then, node attack is simulated, network efficiency is calculated, and an island is detected; finally, a key node set is determined by comprehensively considering network topology, the centrality index and the island effect. The method realizes accurate identification of high-speed rail key nodes, and provides strong support for high-speed rail network planning and management.

Method for creating a database for recording a railway line including objects, wherein first measurement values and second measurement values, which measurement values include measurement value attributes created by means of a sensor and / or by an input and which measurement values are created using an absolute coordinate reference system and / or relative first coordinate reference system, which measurement values describe a condition of the railway line or a vehicle traveling on the railway line, by performing coordinate transformation of the optionally relative coordinate reference system and the optionally absolute coordinate reference system into a unified coordinate reference system and by generating a unified measurement value set comprising the first measurement values and / or the second measurement values, are stored in the database, wherein, in generating the measurement value set, the measurement value attributes of the measurement values are stored in a database in a defined structure in the unified measurement value set.

The invention relates to a railway rerouting and shunting method, computer equipment, a storage medium and a program product. The method comprises the steps of determining a necessary arrival time window according to electricity and coal consumption prediction, a power plant load plan and inventory related data, and generating a rigid constraint according to the necessary arrival time window; determining the actual traffic capacity of each traffic unit of the railway network under the rerouting trigger event, comparing the actual traffic capacity of each traffic unit with the baseline traffic capacity to screen capacity shrinkage traffic units, and aggregating according to the capacity shrinkage traffic units to obtain an affected sub-graph; according to the residual release capability of the affected sub-graph and the event type of the rerouting trigger event, allocating an uncertainty budget in the affected sub-graph to obtain a bounded robust set; determining an adjustable range containing the affected sub-graph and an adjacent region thereof; and determining a rerouting shunting scheme according to the rigid constraint, the bounded robust set and the adjustable range. By adopting the method, the reliability of a rerouting shunting scheme can be improved.

The application relates to a high-dynamic communication network spectrum resource allocation method based on multi-domain information fusion, and belongs to the technical field of wireless communication. The method comprises the following steps: acquiring communication environment data and historical traffic demand data sets; decoupling the correlation between the communication environment data and electromagnetic wave propagation loss by using a residual neural network to obtain a next-stage electromagnetic wave propagation loss prediction value; predicting the historical traffic demand data sets by using a long short-term memory network to obtain a next-stage traffic demand prediction value; fusing the electromagnetic wave propagation loss prediction value and the traffic demand prediction value to formulate a spectrum resource allocation strategy; applying the spectrum resource allocation strategy to a railway LTE network to obtain a dynamic spectrum resource allocation strategy; and fusing the dynamic spectrum resource allocation strategy with output information of a network state monitor to optimize the dynamic spectrum resource allocation strategy. The application enhances the multi-domain information analysis capability and improves the resource utilization rate of a wireless communication system.

The invention provides a user train number identification method in high-speed rail network perception optimization, and relates to the technical field of traffic communication, and the method comprises the steps: complementing inevitable stations between any two stations based on the train time table of each train number for the train numbers appearing at the same time at any two stations, and obtaining the complemented train number of the inevitable stations; based on the distance between the base station position and the station in the signaling reported by the terminal of the user, determining the station that the user may pass through; on the basis of a station stop confidence model, determining each station which the user actually passes through from each station which the user possibly passes through; on the basis of each station which the user actually passes through, determining the necessary station complemented train number which the user may take from each necessary station complemented train number; and carrying out space-time matching on the necessary station complemented train number possibly taken by the user and each station actually passed by the user so as to determine the train number actually taken by the user from the necessary station complemented train number possibly taken by the user. The invention aims to reduce the train number identification cost.

The invention relates to a multi-mode traffic network modeling and capability evaluation method and system, and the method comprises the steps: constructing a topological structure of a multi-level road and railway network based on road and railway data in combination with remote sensing images, surveying and mapping data and the like; constructing a three-section task path which simultaneously comprises a railway section, a transfer node and a road section; dynamic updating and seasonal model switching are carried out, and traffic state change is controlled based on time, weather and manual input; performing multi-target path evaluation, and performing path generation and visual display and interaction according to multiple target functions; and data persistence and interface service. According to the method, the path connection efficiency of different modes is improved, the attribute expression is multidimensional and fine, the dynamic capability is prominent, the path evaluation precision is high, the system integration degree is high, the guarantee capability is remarkably improved, traffic bottlenecks, key paths and sensitive areas are effectively identified through system modeling, and the method has a remarkable supporting effect on rapid deployment, area sealing and control, special vehicle action and the like; and the overall guarantee capability under the emergency condition is improved.

The invention relates to a test device (10) for a DC railway system (1) for at least partially electrically powered rail vehicles, a DC railway system (1) with at least one test device (10) according to the invention, and a method for determining the total insulation resistance R. isoG (6) of a rail network (3) of a direct current railway system (1) with at least one test device (10) according to the invention. The invention makes it possible to easily detect a general deterioration of the overall insulation or a decrease in the general insulation properties of the DC railway system 1 over its entire route.

The present disclosure relates to a rail transit signal system with multi-network integration, including: a wayside train control subsystem for simultaneously supporting mixed tracking operation of a China train control system (CTCS)-based national railway train and a communication based train control (CBTC)-based urban rail transit train; a compatible carborne subsystem for realizing cross-line operation of a national railway line network, an intercity railway network, a municipal railway network, and an urban rail transit network; a networked intelligent dispatching subsystem for realizing intelligent dispatching management of rail transit line networks and cooperation of line network operation plans between different rail transit line networks; an interlocking subsystem being respectively communicatively connected to and interacting with the wayside train control subsystem, the compatible carborne subsystem, and the networked intelligent dispatching subsystem; and a wireless train-ground communication subsystem for simultaneously providing communication for the national railway train and the urban rail transit train. Compared to the prior art, the present disclosure has the advantages of interconnection and interworking, deep integration, etc.

The application discloses a kind of based on cloud edge coordination's high-speed rail system network risk dynamic intelligent positioning method, belongs to intelligent transportation technical field, including S1, graph embedding method reconstructs node feature, generates node embedding vector for subsequent analysis;S2, calculate residual network cumulative connectivity, identify key risk nodes;S3, calculate risk node weight, determine node importance to improve positioning efficiency;S4, construct reinforcement learning model, make it adapt to network changes and develop optimal scheme;S5, based on edge centrality positioning key edge, provide basis for monitoring and prevention and control;S6, confirm key chain, realize adaptive safety prevention and control through real-time decision.The application adopts the above-mentioned based on cloud edge coordination's high-speed rail system network risk dynamic intelligent positioning method, dynamically intelligently positions high-speed rail network risk, accurately identifies risk key nodes, edges and propagation chain, realizes effective prevention and control, improves system security and operation intelligent level.

The present invention relates to a method for analyzing properties related to a passing train on a railway network, method comprising collecting a first sensor data of railway at a first time via a least one sensor arranged on the railway network, processing the first sensor data via at least one processing component to generate at least one processed sensor dataset, and estimating a value of at least one property related to the passing train based on the at least one processed sensor data to generate at least one property estimation of the passing train. The invention also relates to a system for analyzing properties related to a passing train on a railway network, the system comprising at least one sensor configured to measure at least one property related to the passing train, at least one processing component configured to process the at least one property related to the passing train, at least one analyzing component configured to analyze the at least one property related to the passing train, and at least one interface configured to access at least one server configured to be bidirectionally connected to the system, wherein the system is configured to estimate a value of the at least one property related to the passing train based on the at least one property.

The invention relates to the technical field of urban infrastructure performance evaluation, in particular to an aviation-railway collaborative network performance evaluation method based on a multi-state model, which comprises the following steps: determining a double-layer collaborative network model based on urban aviation and railway node and line information; determining to-be-analyzed impact scenes respectively corresponding to each node and line in the aviation network and the railway network; carrying out fault process updating and recovery process updating on a network state according to the impact scene to be analyzed; determining a plan income, a loss cost, a transfer income and an actual income based on the updated network state; determining comprehensive performance efficiency according to the resistance stage performance efficiency, the degradation stage performance efficiency and the recovery stage performance efficiency, and taking the comprehensive performance efficiency as aviation-railway collaborative network performance; according to the method, the performance change process of the aviation-railway collaborative network under the multi-state impact can be effectively evaluated.

1. Name of the product in this design: Monitoring Base Station. 2. Purpose of this design: For monitoring railway network signals. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. Bottom views are uncommon, so they are omitted.

A method and system locate an unlocated guided vehicle moving on a track of a railway network. The system contains a positioning system installed on-board the unlocated guided vehicle. The positioning system acquires first position information which provides information about a first position occupied by the unlocated guided vehicle. A control system contains a register for registering each located guided vehicle of the railway network via an identifier assigned to the located guided vehicle, and for monitoring its current position and its current direction of travel. The control system is further configured for determining a current position and a current travel direction of the unlocated guided vehicle, and registers in the register the unlocated guided vehicle as a newly located guided vehicle on the railway network. The positioning system uses the first position information for determining the current position and current travel direction of the unlocated guided vehicle.

The invention discloses a heat treatment process for removing abnormal structures of low-carbon steel rail network ferrite. The heat treatment process comprises the following steps: (a) entering a heat treatment cooling rail head temperature range of 760-800 DEG C; (b) a first stage: cooling to 550-580 DEG C under the conditions that the P1 air pressure is 12-15KPa and the cooling speed v1 is 2.5-5.0 DEG C / s; the method is characterized in that the cooling speed v1 of the first stage and the thickness H of a rail head meet the condition that v1 = 3.2 / H0.3-5.0 / H0.3; wherein the unit of v1 is DEG C / s, and the unit of H is cm; (c) a second stage: cooling to 460-490 DEG C under the conditions that the air pressure P2 is 15-17KPa and the cooling speed v2 is 1.5-2.5 DEG C / s, wherein P2 / v2 is equal to 6.0 + / -0.5; and (d) obtaining a ferritic structure without continuous network, wherein the pearlite content is greater than or equal to 98.5%. The invention aims to realize effective removal of network ferrite and improve the comprehensive performance of the steel rail.