132 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 relates to a multi-mode network accessibility calculation method for comprehensive traffic, a calculation device and a storage medium, and the method comprises the steps: constructing a network structure of a comprehensive traffic network which comprises a road network, a railway network and an aviation network; recording longitude and latitude coordinates of a starting point and an ending point; a heuristic function of an A * algorithm is improved; the hierarchical search algorithm comprehensively considers travel paths in the traffic network, including intra-city travel paths of cities where a starting point and a terminal point are located, and inter-city travel paths connecting the cities where the starting point and the terminal point are located; calculating total travel time; and calculating reachability and diagnosing reachability depression. According to the method, the path search algorithm is improved with the aim of improving the efficiency, and the path search algorithm suitable for the multi-mode traffic network is constructed from the two aspects of optimizing the search path and improving the search strategy. And by introducing a hierarchical search strategy, unnecessary repeated search is effectively reduced, and the search efficiency of the algorithm is improved. Meanwhile, the algorithm fusion considers the influence of the transfer times and the train connection relationship on the travel path selection, and the actual travel behavior of the traveler is simulated more accurately.

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 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. Comprising the following steps: acquiring communication environment data and a historical traffic demand data set; decoupling the correlation between the communication environment data and the electromagnetic wave propagation loss by using a residual neural network to obtain an electromagnetic wave propagation loss predicted value of the next stage; predicting the historical traffic demand data set by using a long-short-term memory network to obtain a traffic demand prediction value of a next stage; fusing the electromagnetic wave propagation loss prediction value and the flow demand prediction value so as to formulate a spectrum resource allocation strategy; applying the spectrum resource allocation strategy to the railway LTE network to obtain a dynamic spectrum resource allocation strategy; and fusing the dynamic spectrum resource allocation strategy with the output information of the network state monitor, and optimizing the dynamic spectrum resource allocation strategy. According to the invention, the resource utilization rate of the wireless communication system is improved by enhancing the multi-domain information analysis capability.

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 invention relates to a train delay prediction method based on multiple time scales, and the method comprises the steps: carrying out the multi-source data fusion of train operation data, and obtaining the space-time embedding representation of a data tensor; wherein the space-time embedding representation comprises time embedding representation, space embedding representation and feature embedding representation; identifying periodicity in a time sequence for the space-time embedding representation through fast Fourier transform, and dividing information of a plurality of time scales; capturing space-time correlation for the space-time embedded representation, and generating space-time correlation feature representation; based on the information of multiple time scales, performing multi-time scale decomposition on the space-time correlation feature representation, and performing channel attention learning on the decomposed information to obtain aggregated multi-time scale sequence information; and based on the aggregated multi-time scale sequence information, obtaining a late prediction result. According to the method, accurate delay prediction of the train under the multi-station and complex railway network conditions can be realized.

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 a railway passenger trip chain identification method based on mobile phone signaling data, and the method comprises the steps: extracting the mobile phone signaling data of a passenger, and identifying a track sequence and an activity point of a passenger individual; identifying railway junctions of the starting city and the terminal city based on the activity points and the track sequences of the passengers; judging whether the inter-city stage of the passenger is a railway trip or not by utilizing railway network GIS (Geographic Information System) data; on the basis of the activity points and the track sequence of the passengers, identifying an in-city connection trip of the starting city and the terminal city; primary activity points of the endpoint city are identified and a reservation time is estimated. Compared with the prior art, the method has the advantages that the whole-process travel requirements of the urban agglomeration can be comprehensively reflected, and reference can be provided for urban agglomeration railway operation organization optimization, urban connection traffic service improvement and the like.

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 method S100 can include: determining a remote operation request Silo; optionally determining a priority of the remote operation request S120; providing vehicle data to a remote operator S130; responding to the remote operation request S140; and optionally training a model based on the response S150. However, the method S100 can additionally or alternatively include any other suitable elements. The method S100 functions to facilitate remote assistance of a vehicle operating within a rail network (e.g., operation of unmanned vehicles within restricted track regions). Additionally or alternatively, the system can function to facilitate remote validation / verification of vehicle operations and / or rail infrastructure status.

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 embodiment of the invention provides a collaborative energy scheduling method and device, and the method comprises the steps: obtaining the first load information of a first energy router in a railway station end, the second load information of a second energy router in a traction station end, and the third load information of a third energy router in a railway line end, the first line resistor is arranged between the large power grid end and the railway station end, the second line resistor is arranged between the railway station end and the traction station end, and the third line resistor is arranged between the traction station end and the railway line end. And calculating target scheduling data according to the first load information, the second load information, the third load information, the first line resistance, the second line resistance, the third line resistance and a preset cooperative scheduling calculation formula. According to the embodiment of the invention, the network loss can be greatly reduced, and the comprehensive utilization efficiency of grid connection of various energy sources in the railway network is improved.

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 railroad sleeper (1) for fixation of at least a pair of rails (2,2′) of a railroad network is provided, including a contact surface (3), wherein each rail of the pair of rails (2,2′) is fixed spaced apart from each other, the railroad sleeper (1) being configured by including a hollow sector (4) delimited by association of the contact surface (3) with the anchorage walls (5,5′), thus establishing a free portion (17) adjacent to the anchorage walls (5,5′) and opposite the contact surface (3). An embodiment in which the hollow sector (4) of the railroad sleeper is delimited by a support surface and the process of manufacturing a railroad sleeper is also provided.

The invention discloses an intelligent identification marking device which comprises an intelligent identification device, a railway network signal identification gateway, an AI server and a marking machine which are in data connection. The intelligent identification device adopts a computer as a local client, and a user imports a railway signal drawing to be marked into the local client; the railway network signal identification gateway is used for realizing data exchange among the intelligent identification device, the AI server and the marking machine; the AI server is internally provided with a processing unit and an OCR recognition module, and the OCR recognition module is used for executing an OCR recognition task, analyzing and processing character information, determining the number of a drawing and returning a marking instruction to the processing unit; and the marking machine receives and executes the marking task and accurately prints a label on the corresponding rubber tube. According to the scheme, the AI server is used for identifying the drawing and marking the rubber tube, and the drawing wiring information input and marking can be realized in an extremely short time, so that the working efficiency is greatly improved, and human errors are reduced.

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 present invention discloses a method for optimizing the railway car flow routing based on the variable neighborhood search algorithm. First, a mixed integer linear programming model that conforms to the tree-shaped characteristics of the railway car flow routing and the principle that a single flow cannot be split is constructed, and a heuristic algorithm adapted to the railway car flow routing optimization model is designed based on the variable neighborhood search algorithm. Then, the heuristic algorithm is used to solve the optimization model to obtain the optimal solution. The method of the present invention can optimize the railway network car flow routing problem on the basis of considering the network transportation capacity limitation and the tree-shaped characteristics of the routing, and can effectively solve problems such as the large variety of goods properties, the complex network, and the frequent goods exchange between important nodes in the railway freight transportation network; compared with the existing algorithms, it has the advantages of high solution efficiency and good solution quality, and when applied to large-scale cases, the solution efficiency is improved to a greater extent.

The invention discloses a construction method of an urban rail-public transportation network transfer station line topology network, and belongs to the technical field of urban multi-mode traffic network topology analysis, and the method specifically comprises the steps: constructing a rail network topology structure and a public transportation network topology structure, and storing the structural data of stations and links; constructing a track-bus space relation topological structure and a rectangular area covering all stations, and generating an irregular area completely contained in the rectangular area; and designing a mode transfer station extractor, traversing irregular areas and extracting transfer stations by dynamically adjusting the moving step length of a movable area, and generating a transfer station line topology network. The method has the beneficial effects that the topology complexity of a traditional super network is remarkably reduced, the problem that the path search efficiency is reduced due to the introduction of a virtual link is avoided, the dependence of the model on high-precision real-time data is reduced, the method can adapt to the data isomerism of different cities, and the accuracy of transfer station identification is effectively improved.

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.