106 results about "Rail network" patented technology

The invention discloses a railway equipment access and data security transmission system based on a railway private network. The system comprises a railway equipment data transmission module, a railway equipment data access module, a gateway forwarding service module and a railway equipment data service receiving module, the railway equipment data transmission module performs data processing on to-be-transmitted data of a railway terminal, converts the to-be-transmitted data into a binary array, then slices and splices the binary array, uploads the sliced data to the railway equipment data access module, assembles the sliced data into the binary array, and decompresses and decrypts the binary array; the gateway forwarding service module receives the restored railway equipment data, obtains authorization information and carries an authorization token to encrypt and forward the railway equipment data; and the railway equipment data service receiving module receives and decrypts the verification data to complete railway equipment access and data security transmission. According to the method provided by the invention, adaptive access and secure data transmission of various railway terminal devices in a railway network environment are realized.

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.

The invention discloses an IPv6 stateless address dynamic planning method and system based on an elastic prefix, particularly relates to the field of network communication, is used for solving the problems of prefix rigidity and service semantic deficiency in IPv6 stateless address configuration of a railway network, and is implemented by extracting basic prefix information and compressing a service level identifier to generate an elastic sub-prefix bit string. The prefix is ensured to be flexibly embedded into multi-level semantics; fusing the MAC address of the host to construct a temporary interface ID, and enabling the address to have deep association between equipment and service; splicing candidate addresses and broadcasting verification information to collect conflict feedback to realize real-time conflict detection; based on feedback calculation correlation strength and a variation rate index, driving a bit flipping optimization prefix and an interface ID through a support vector machine decision, and forming an iterative adjustment closed loop; and finally, repeatedly verifying and confirming a final address and feeding back the final address to the semantic pool, or rolling back and expanding the prefix so as to solve stubborn conflicts, thereby overcoming the prefix rigidity and semantic deficiency of the traditional mechanism.

Systems and methods for predicting an estimated time of arrival for an equipment at a destination location are disclosed. The method includes inputting to a trained machine learning model a starting location, the destination location and at least one event data, generated in response to an event during a trip of the equipment via the railroad from the starting location to the destination location. The machine learning model is trained using a plurality of historical shipment route data. A particular historical shipment route data comprises at least a location and a corresponding timestamp. The method includes predicting, using the trained machine learning model, the estimated time of arrival of the equipment at the destination location.

The present application provides a method and device for processing rail network information based on real-time state perception images, relating to the field of information processing technology. The method comprises: determining an initial rail network image under normal conditions for all rail transit network information; the initial rail network image represents the attributes, state, and location of rail transit network equipment; and performing pixel-level updates on the initial rail network image based on the real-time state of the rail transit network to obtain a real-time rail network image. The method and device for processing rail network information based on real-time state perception images provided by the present application can provide a real-time and intuitive description of rail transit network information that is difficult to obtain.

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 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 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.

The invention provides a railway information infrastructure security management and control system based on data processing. The system improves comprehensive detection and dynamic defense capabilities for railway network security threats. The method comprises the following steps: firstly, collecting network behavior elements at the edge of a network in real time by deploying a storage, calculation and transmission integrated unit, and generating a behavior chain data set by adopting clustering compression; thirdly, performing time sequence verification of compliance, credibility and logicality on the behavior chain based on a three-white baseline, and outputting a risk level and an attack path; and finally, in combination with a software-defined network controller, implementing multi-level elastic defense strategies such as link blocking, access control and information recording according to risk levels, and dynamically adjusting a detection threshold and an acquisition frequency through a closed-loop optimization mechanism. Through a sensing-evaluation-defense-optimization closed loop structure, the safety protection precision, the response efficiency and the resource adaptation capability of the railway information system are remarkably improved.

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 invention discloses an airport-high-speed rail traffic infrastructure double-layer network anti-disaster toughness recovery analysis method. The method comprises the following steps: establishing an airport-high-speed rail traffic infrastructure double-layer network model, and carrying out characteristic analysis on the model; calculating relative importance of a field and a high-speed rail network layer and intra-layer importance of nodes; calculating global importance of nodes in the model; selecting airport and high-speed rail nodes with large node degree values, aggregation coefficient values and global importance values for damage to obtain failure nodes in the airport-high-speed rail traffic infrastructure double-layer network model; the model toughness is evaluated by calculating the change of the double-layer network efficiency before and after node failure; and determining an optimal recovery sequence of the failure nodes based on a genetic algorithm. According to the method, the disaster resistance toughness of an airport-high-speed rail traffic infrastructure double-layer network is effectively improved, and an analysis method is provided for improvement of the operation efficiency of comprehensive three-dimensional traffic infrastructures in China and overall allocation of recovery resources under disasters.

A storage system (1700) comprising a three-dimensional grid (100) for storing storage containers therein and a rail network, the rail network provided for movement of a storage container handling vehicle at the top of the three-dimensional grid. The three-dimensional grid comprises at least one storage column of a first type extending vertically from the rail network (116), each of the at least one storage columns of the first type (1302) configured to receive individual storage containers therein. The three-dimensional grid further comprises at least one storage column of a second type (1304) extending vertically from the rail network (116), each of the at least one storage columns of the second type configured to receive multi-container frames for pluralities of storage containers therein. Each of the at least one storage columns of the first type comprises a first opening, the first opening having a first cross-sectional area for receiving individual storage containers therein. Each of the at least one storage columns of the second type comprises a second opening, the second opening having a second cross-sectional area which is larger than the first cross-sectional area for receiving multi-container frames therein.

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.

A multi-constraint route recommendation method for an air-rail transport network comprises the following steps: 1) constructing an air-rail transport network model; 2) using a prediction model to predict the user acceptance rate of the currently feasible routes between the starting point and the destination; and 3) prioritizing the route recommendations with reference to the user acceptance rate of the feasible routes. In step 1), the air-rail transport network model is composed of an upper aviation network layer and a lower high-speed rail network layer, and the two layers are connected by an intra-city transfer system. In step 2), the prediction model is as follows: using air-rail transport route screening conditions to filter out route data in the air-rail transport network model; combining the time cost, economic cost, and user acceptance rate of each route under different departure times into a triplet data set; constructing a linear regression equation as an air-rail transport route prediction model; importing the triplet data set into the linear regression equation, calculating the unknown parameters in the linear regression equation, and obtaining the air-rail transport route prediction model.

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 invention relates to a vehicle arrangement (4401) for the suspended transport of a storage good (3), comprising: a plurality of at least two single-axle transport vehicles (61) each having exactly one single travel axle, by means of which the transport vehicles can be driven and moved and which, in an operating state, interacts with the rail network (49) for this purpose; a steering device which, in an operating state, interacts with the rail network (49) in order to control a travel path on the rail network (49) using an operating principle different from the single travel axles; and a load carrier (4403) in which the storage good (3) can be received and transported. In order to be able to transport more sensitive and / or heavier storage goods, according to the invention the load carrier (4403) is or can be fixedly coupled to the at least two transport vehicles (61), and, in a ready-to-travel state on the rail network (49) in which the load carrier (4403) is coupled to the transport vehicles (61), driving dynamics of the transport vehicles (61) are synchronized with each other.

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.

The present invention relates to a multi-time-scale train delay prediction method, comprising: fusing train operation data from multiple sources to obtain a spatiotemporal embedding representation of the data tensor; wherein the spatiotemporal embedding representation includes a time embedding representation, a spatial embedding representation, and a feature embedding representation; using the spatiotemporal embedding representation to identify periodicity in the time series through fast Fourier transform and divide information at multiple time scales; capturing spatiotemporal correlations in the spatiotemporal embedding representation to generate a spatiotemporal correlation feature representation; decomposing the spatiotemporal correlation feature representation at multiple time scales based on the information at multiple time scales, and performing channel attention learning on the decomposed information to obtain aggregated multi-time-scale sequence information; and obtaining a delay prediction result based on the aggregated multi-time-scale sequence information. The present invention can achieve accurate train delay prediction under multi-station and complex railway network conditions.

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.

The invention discloses a high-speed rail system network risk dynamic intelligent positioning method based on cloud edge collaboration, and belongs to the technical field of intelligent transportation, and the method comprises the steps: S1, reconstructing node features through a graph embedding method, and generating a node embedding vector for subsequent analysis; s2, calculating residual network accumulative connectivity, and identifying key risk nodes; s3, calculating the weight of a risk node, and determining the importance of the node to improve the positioning efficiency; s4, constructing a reinforcement learning model to enable the reinforcement learning model to adapt to network changes and formulate an optimal scheme; s5, a key edge is positioned based on edge centrality, and a basis is provided for monitoring and prevention and control; and S6, confirming a key chain, and realizing adaptive safety prevention and control through real-time decision. According to the high-speed rail system network risk dynamic intelligent positioning method based on cloud edge collaboration, high-speed rail network risks are dynamically and intelligently positioned, risk key nodes, edges and propagation chains are accurately identified, effective prevention and control are achieved, and the system safety and the operation and maintenance intelligent level are improved.

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.