4761results about "Railway traffic control systems" patented technology

A hierarchical cooperative control system and method are provided in which the control behavior of all train units is unified and planned and managed, taking into account the goal of synchronous operation of the entire virtual train set, thereby greatly improving the tracking efficiency of the virtual train set. [Solution] The electronic map processing module of the hierarchical cooperative control system queries railway line information for the entire train operation based on train operation plan information, and forms railway line operation data for the virtual train set. The recommended operation curve planning module considers the virtual train set as a whole based on the railway line operation data of the virtual train set, and cooperatively plans recommended operation curves for all train units in the virtual train set. The real-time tracking control module controls the train units to operate according to their respective recommended operation curves based on the railway line operation data of the virtual train set, thereby achieving the goal of synchronous operation of the virtual train set.

The invention relates to the technical field of subway train driving strategy optimization, and discloses a subway line real-time data driven DAS driving strategy optimization method, which comprises the following steps: acquiring multi-dimensional operation data including a train real-time position sequence, station passenger flow data and a trackside signal equipment state; extracting line operation characteristics through a convolution space-time encoder, generating a passenger flow fluctuation prediction map by using a time sequence decomposition algorithm, and performing characteristic fusion on the trackside signal equipment state to generate an equipment health degree evaluation matrix; inputting the multi-dimensional data into the driving strategy model to generate an initial driving instruction sequence, dividing operation control priorities through a regional clustering algorithm, and constructing a dynamic optimization strategy network in combination with a genetic algorithm to generate a final driving strategy scheme; and acquiring an execution state log in real time, and updating the strategy network through the abnormal decision detection model. According to the method, the dynamic optimization of the subway driving strategy is realized, and the operation safety, efficiency and comfort are improved.

The invention provides a train degradation operation control method and system based on active perception, and the method comprises the steps: obtaining a high-safety visual distance and signal machine information through an intelligent perception system after a train enters an ABL mode; a speed curve is calculated based on the train operation condition, the signal machine information and the high-safety visual distance, and the train is controlled; wherein the intelligent sensing system is composed of vehicle-mounted equipment and trackside equipment; the vehicle-mounted equipment comprises a sensing host, a radar sensor and a camera; the trackside equipment comprises a coding signboard; the camera is used for collecting image data; the radar sensor is used for detecting point cloud data; and the sensing host is used for determining a high-safety visual distance and signal machine information according to the image data and the point cloud data. According to the method, in the transformation process of the urban rail transit signal system, when the signal equipment beside the rail does not meet the transformation condition, the train degradation operation control can be carried out.

The invention relates to the technical field of big data, and discloses an urban rail transit emergency processing method and system based on a visual large model, and the method comprises the steps: collecting visual data, sound data and equipment operation data at a platform and a carriage of urban rail transit, and carrying out the preprocessing and timestamp synchronization; performing dynamic frame difference processing on continuous video frames of the visual data to generate a two-dimensional motion heat map, and performing space-time aggregation; constructing a three-dimensional digital model based on engineering drawings of the platform and the carriage, and establishing a mapping relation between the two-dimensional motion heat map and the three-dimensional digital model; performing abnormal behavior detection on a mapping result, performing multi-modal fusion analysis in combination with sound data and equipment operation data, and determining the severity of an abnormal event; emergency response strategies are formulated according to severity levels of the abnormal events, a control instruction is sent to the rail transit equipment through an industrial protocol interface, and abnormal event information is pushed to a control center, inspection personnel and passenger terminals.

The invention relates to the technical field of data processing, and provides a train dynamic scheduling method and a resource allocation system, through real-time acquisition and processing of heterogeneous data, generation of train priorities, and generation and verification execution of a scheduling scheme, fine management of a whole train scheduling process is realized, all steps cooperate with one another and are progressive layer by layer, and the scheduling efficiency is improved. Various complex factors in the train running process can be comprehensively considered, the limitation that a traditional dispatching mode depends on experience or a single index is changed, the scientificity, accuracy and timeliness of train dispatching decisions are remarkably improved, resources can be dynamically and efficiently allocated, train running arrangement can be optimized, and the train dispatching efficiency is improved. The transportation efficiency and the service quality are improved, and the ever-increasing diversified requirements of modern railway transportation are effectively met.

The invention discloses a virtual marshalling multi-train cooperative adaptive sliding mode control method based on an extended state observer, and the method comprises the steps: firstly constructing an urban rail multi-train tracking error dynamic model based on a unit train dynamic equation; secondly, establishing a nonsingular terminal sliding mode surface according to the urban rail multi-train tracking error dynamical model to obtain an equivalent control law, combining the equivalent control law with a switching control law to obtain a nonsingular terminal sliding mode control law, and introducing a gain adaptive law and a saturation function into the nonsingular terminal sliding mode control law to obtain an adaptive nonsingular terminal sliding mode control law; and finally, an extended state observer is adopted to estimate external interference, an observation value of the interference is added to the output of the adaptive nonsingular terminal sliding mode controller to serve as feed-forward compensation, and the adaptive nonsingular terminal sliding mode control method based on the extended state observer is constructed. According to the method, the multi-train cooperative operation tracking control precision and stability can be remarkably improved under the external interference condition.

The invention provides a control method for achieving interval autonomous turn-back and end changing, and relates to the technical field of train running direction switching. The method mainly comprises the following steps: sending a destination identifier of a destination section to a vehicle-mounted control system after a train is parked; setting a plurality of sub-routes, and sending a route control instruction from the section where the sub-routes are located to the destination section to the interlocking system according to the destination identifier, so as to lock each sub-route in the turn-back section and provide a corresponding locking direction; a reverse operation instruction is sent to the vehicle-mounted control system, so that the train completes end changing and sends a reverse operation application; and after the movement authorization is obtained and the locking direction of the section where the train is located is switched, the train is controlled to drive to the target section, and turning-back in the section is completed. According to the control method disclosed by the invention, by setting the sub-access and carrying out locking control on the sub-access, autonomous end change turn-back in an interval without signal machine protection can be realized without adding equipment, a CBTC (Communication Based Train Control) level operation mode can be inherited, a fault line can be quickly moved out when an accident occurs in the front, and the rescue efficiency is improved.

The invention belongs to the field of urban rail transit network passenger flow simulation, and particularly relates to an urban rail transit passenger travel behavior characteristic estimation method. Obtaining, analyzing and processing travel data; searching a feasible path set meeting the maximum transfer frequency constraint between the OD pairs by adopting a breadth-first algorithm with constraint; reconstructing a passenger trip chain; through a path time similarity index, passengers on a non-transfer single path and passengers on a single-transfer single path are distributed to a train, and then a travel chain of the two types of travel passengers is obtained; and taking the standard deviation of the train arrival time as the standard deviation of the waiting time of the passengers on the platform, and calculating to obtain passenger in-out walking time distribution and transfer walking time distribution. According to the passenger travel behavior characteristic estimation method for the urban rail transit, station entering and exiting walking time distribution of passengers in all stations in an urban rail transit network, transfer walking time distribution of the passengers in each transfer direction of a transfer station and waiting time distribution of each station can be accurately estimated.

The invention discloses a train control method and a train control system based on credible interval entry check. The train control method comprises the following steps: starting a backup command; the temporary speed limit server starts a sending module used for sending authorization to a train self-protection system; performing interval credible entry check; determining the existence condition of the train in the interval; the temporary speed limit server updates a train existence condition list in the interval; the train obtains a front driving permission; the train runs according to the running permission. According to the train control method and the train control system based on the credible interval entry check, the axle counting equipment is arranged at the interval entrance, software of the temporary speed limit server only needs to adjust individual modules, and the software of the temporary speed limit server can be only used for recording the train condition in the interval and is not used for authorized calculation, so that the train control method and the train control system are convenient to use. The deployment cost of the temporary speed limit server is reduced, the transportation efficiency under the condition of a CTCS-2 system fault is improved, and the toughness of the CTCS-2 system is improved.

The invention relates to the technical field of high-speed rail platform safety monitoring, and discloses a high-speed rail platform area intrusion detection and early warning alarm system, which comprises an acoustic and vibration sensor network deployed in a platform area and used for collecting environment signals in real time, the edge calculation unit extracts signal features and compares the signal features with a dynamically maintained environmental rhythm feature baseline to generate a detuning event mark, and the detuning mode analysis device identifies an abnormal mode through space-time correlation and triggers an alarm. According to the method, early perception of subtle anomalies is realized by constructing a multi-modal environment rhythm baseline, active perturbation injection and differential response analysis technologies are combined, the recognition capability of a silent target is remarkably improved, meanwhile, the monitoring continuity under an extreme working condition is ensured by using an elastic baseline adaptive mechanism, and the detection accuracy is improved. And a closed-loop security and protection system from passive sensing to active discrimination is formed.

According to the novel transponder and the Beidou short message-combined realization function and application method and system, multiple functions are realized by utilizing multiple combinations of ground and vehicle-mounted transponder system equipment, the novel transponder can be applied to multiple scenes, the equipment types can be simplified, the construction cost can be reduced, and the maintenance workload can be reduced; beidou positioning and short message functions, positioning and communication of wireless communication and the like are used as supplements to perfect train operation control and other functions, and the transportation efficiency and safety are improved.

The invention discloses an intelligent digital rail transit simulation test system based on a digital twinborn technology, which comprises a digital track simulation platform, a digital track internal test platform and a central digital track server, and a visual digital track 3D scene model is constructed by joint design based on the rubber wheel train dynamic model data and the digital track urban construction coordinate graph. The digital track internal test platform comprises a test navigation control unit, and a digital track mathematical model, an electronic map, magnetic coding data and environment perception simulation information are preset in the test navigation control unit. The train equipment state can be monitored, the train equipment state transition can be controlled in real time, the artificial intelligence machine learning technology is introduced, and the test effectiveness is improved; and a real vehicle and a simulation machine can be accessed at the same time to be converted into a test platform before internal product release. The invention further discloses an intelligent digital rail transit simulation test method based on the digital twinning technology.

A rail train and an operation planning method and apparatus therefor, a device, and a storage medium, relating to the technical field of intelligent driving. The method comprises: acquiring planning information of a train formation; acquiring following situation information of a current train in the train formation; and on the basis of the following situation information and the planning information, using a speed planning model to acquire a local operation curve of the current train, wherein the speed planning model comprises a longitudinal dynamics model, a constraint condition, and an objective function. In the present invention, an operation state of each following train in the train formation can be planned and generated by using the constructed longitudinal dynamics model of the rail train and the collaboratively planned objective function and constraint condition, so that distributed planning and control of the train formation are realized, the calculation load of a single train can be effectively reduced, and the requirements for real-time performance and safety of communication between trains can also be reduced, thereby reducing the cost of the rail train.

A method for compilation of urban rail transit outbound / inbound operation lines with coordination of multiple depots, including: screening out, based on the mainline path, a feasible outbound / inbound path set corresponding to switch tracks in each depot that can be connected to the mainline path; identifying, based on a connection mode of an outbound / inbound path and the mainline path, outbound / inbound districts to be compiled in a feasible outbound / inbound path and assigning a time scale to the outbound inbound districts as a feasible outbound / inbound operation line set; matching a feasible outbound / inbound operation line of a corresponding time period, service route and direction for each originating / terminating event of the mainline to be connected to the outbound / inbound operation line; and, according to depot parking capacities, generating arrival / departure events of a corresponding feasible outbound / inbound operation line, and checking and resolving any time conflicts between the arrival / departure events of the feasible outbound / inbound operation line and those in mainline operation line; and determining the ultimately matched train outbound / inbound depots, outbound / inbound paths and arrival / departure events in the outbound / inbound operation line based on outbound / inbound interval of the depot.

The invention discloses a cooperative adjustment method and system for a train station track and a shunting plan. The method comprises the steps of receiving a train stage plan; obtaining a shunting plan; associating the train stage plan with the shunting plan; and an iterative optimization algorithm architecture is adopted to provide a comprehensive solution. The system comprises a plan fusion module, a station track adjustment module, a reserved adjustment time domain setting module, a shunting moment adjustment module and an iterative optimization control module. According to the method, the station tracks, the train receiving route, the train departure route and the shunting route are comprehensively allocated, and the shunting operation time is adjusted, so that the adjusting scheme meets the sequence relation between the train and the shunting operation, the station track application meets the train operation requirements, and the station yard resource occupation is free of conflicts; according to the method, suitable station track adjustment allowing conditions can be set in different scheduling scenes, a complete application process method for determining whether the station tracks are allowed to be adjusted in the train operation plan adjustment process and screening the adjustable station tracks when the station tracks are adjusted is provided, and the actual requirements of train operation plan adjustment are met.

A train tracking system includes a train tracking module, a plurality of input sources providing train related information, and one or more interface(s) associated with the train tracking module, wherein the train tracking module is configured via computer executable instructions and through operation of a processor to receive the train related information from the plurality of input sources via the one or more interface(s), determine a position of a train within a train track map, the position of the train corresponding to a track location of the train in a track network, and wherein the train tracking module further comprises a learning algorithm, the train tracking module being configured to, utilizing the learning algorithm, determine an unexpected occupancy of the track location.

A system and method for virtual block stick circuits is presented. The present disclosure implements specialized algorithms adapted to determine the true status of a virtual block based on multiple inputs from different perspectives. In one embodiment, the system can use the far house perspective of that virtual track segment and the PTC hazard for the near virtual track segment directly adjacent to the near house uses the near house perspective of that virtual track segment. For the middle virtual track segments, the near house perspectives of the middle virtual track segments are held ‘TRUE’ if they are already ‘TRUE’ when the train first enters the block, using stick circuits for the near house perspective of the middle track circuits. The vital application can then indicate the true state of the virtual track segment as occupied (FALSE), to protect the train from trains that follow.

A simulation system of a railway system for a Medium-Voltage Direct Current (MVDC) distribution network includes: a computing device which stores a simulation program including a converter station model configured to simulate a converter station included in the MVDC distribution network and a train operation model configured to simulate an operation state of a train that is supplied with power from the converter station and runs; a converter controller which controls a DC / DC converter included in the converter station model; and a Hardware In the Loop Simulation (HILS) device which performs a simulation based on the converter station model, the train operation model, and the converter controller. Herein, the converter station model and the train operation model are executed in software by the HILS device, and the converter controller is connected to the HILS device and driven to control the converter station model.

The invention relates to the technical field of subway information broadcast control, and discloses a subway information broadcast control method based on time period scheduling. The method comprises the steps of collecting multi-source monitoring data of a subway operation environment in real time, wherein the multi-source monitoring data comprises passenger flow data, train arrival data and emergency event report data; dividing the current operation cycle into a plurality of continuous time slices based on a preset time period division rule, and generating a corresponding time period identification code for each time slice; matching a target broadcast control template from a broadcast control strategy library according to the time period identification code, and performing parameter dynamic filling on the target broadcast control template in combination with the multi-source monitoring data; and performing logic verification on the target broadcast control template after parameter filling, triggering a broadcast control decision reconstruction process when verification is abnormal, and generating an executable broadcast control instruction set when verification is normal. According to the method, operation requirements of different time periods are dynamically adapted, so that the accuracy and timeliness of subway information broadcast control are improved, and the passenger travel experience and the operation efficiency are optimized.

The embodiment of the invention provides an urban rail signal system fault diagnosis method based on a knowledge graph and a large model, and the method comprises the steps: collecting system operation logs, state parameters and fault information in real time, and carrying out the data preprocessing and standardization; based on historical fault data, a fault classification and prediction model is constructed through feature extraction and mode recognition, and automatic fault recognition and risk early warning are achieved; constructing a fault diagnosis knowledge graph, and establishing an association relationship among entities such as equipment, faults, reasons, maintenance schemes and the like; a pre-training large language model and a LoRA technology are adopted for efficient fine tuning, a fault diagnosis reasoning model is trained, and end-to-end generation from fault description to diagnosis and maintenance suggestions is achieved; the knowledge graph and large model output are fused, real-time and historical data are combined, multi-path fault analysis and comprehensive diagnosis are carried out, and a diagnosis report is generated and displayed. The intelligent level, accuracy and efficiency of fault diagnosis can be improved, and technical support is provided for intelligent operation and maintenance management.

The invention discloses an intelligent field section management and control method and system suitable for urban rail transit, and belongs to the technical field of rail transit, and the technical key points comprise the steps: arranging various types of sensors for images, positions, states and the like in a field section key area, and collecting the operation, state and environment data of vehicles, equipment and infrastructures in real time; transmitting the collected data to a management and control center in real time through a wired and wireless combined communication network, so that the management and control center analyzes the received data in real time, identifies abnormity, predicts faults and generates a management and control instruction; according to the railway operation and maintenance management system, intelligent execution equipment such as a turnout point switch, a signal machine and vehicle maintenance equipment is automatically controlled according to a management and control instruction, intelligent coordinated management and control of vehicle entering and exiting, parking, maintenance and equipment operation are achieved, and the railway operation and maintenance management system is a highly complex and precise system. And safety, high efficiency and order of railway transportation are ensured.

The invention discloses a rail transit accident monitoring system and method based on wireless communication, and relates to the technical field of rail transit accident monitoring. The system comprises a data acquisition and processing module, a state evaluation module, a data analysis module, a real-time monitoring module and an accident judgment and response module. The data acquisition and processing module collects historical data of nodes in a monitoring area, obtains log data and marks the historical data; the state evaluation module evaluates the operation state of the wireless sensor node and identifies a key node; the data analysis module analyzes a trend curve according to historical data of the key nodes, extracts trend characteristics and establishes a mapping relation between the trend characteristics and the trend curve; the real-time monitoring module obtains accident notifications and real-time data of the key nodes in real time, generates a trend curve and extracts real-time trend characteristics; and the accident judgment and response module calculates a deviation degree index, judges the accuracy of accident notification and outputs related notification information.

Disclosed is an adaptive control method and system for train operating condition identification. The method includes acquiring train operating state data under various traction conditions and calculating traction and braking performance data. An adhesion condition characteristic data set is formed, and train adhesion conditions are divided into Nz grades based on this data set, where Nz is a natural number. The current adhesion condition grade Nd is identified using the number of adhesion condition grades and current operating state data, where Nd≤Nz, establishing a mapping relationship between an adhesion coefficient and maximum deceleration for braking under the identified grade. An optimal train protection curve is generated. By clustering and grading adhesion conditions through a clustering algorithm, the method achieves more accurate adhesion condition analysis. Adaptively generating optimal train protection curves based on adhesion condition grades enhances the reliability and safety of train operations.

The invention discloses an interval occupation logic checking method, a train control system, a storage medium and electronic equipment, which are used for automatically blocking a standard railway line, and the method comprises the following steps: acquiring train position information and a train type; acquiring track circuit data, and judging a track section state; and generating a corresponding signal permission for the train based on the train position information, the train type and the track section state, and judging the logic state of the corresponding block partition based on the signal permission. The method has the advantages that the normal train, the fault train and the non-moving block train can be ensured to safely run on the automatic block system railway line at the same time, the normal train can still adopt the moving block system and does not need to be degraded into the automatic block system, the running density of the normal train is improved, and the running efficiency is improved. Therefore, the traffic capacity of the automatic block type railway line is improved.

According to some embodiments, a method includes accessing track geometry data for a railroad track. The track geometry data includes historical measurements for a plurality of types of surface conditions of the railroad track over a period of time. The method further includes determining, by analyzing the track geometry data for a particular type of surface condition, a plurality of measurements that exceed a predetermined value. The method further includes identifying, by clustering the plurality of measurements that exceed the predetermined value, a particular track location on the railroad track as a progressive defect location. The method further includes determining, using a remaining useful life model and the track geometry data for the particular type of surface condition at the progressive defect location, a future time when the particular type of surface condition at the progressive defect location will exceed a predetermined limit.

The invention discloses a vehicle path determination method and device, electronic equipment and a storage medium, and relates to the technical field of rail traffic management.The vehicle path determination method comprises the steps that a rail line topological map under a target area is determined based on rail line information under the target area and a preset topological sorting rule; based on initial position information of a target vehicle in a current state and target position information of the target vehicle, determining an initial vertex and a target vertex of the target vehicle from the track line topological map; based on a preset search algorithm and a target path constraint condition, a target path of the target vehicle from the starting vertex to the target vertex is determined, and the target path constraint condition is used for path length and the type priority of the turnout type under constraint of the same path length. According to the embodiment provided by the invention, the target path searching accuracy and the target path searching efficiency are improved.

The invention discloses a rail transit dispatching cooperation system and a rail transit dispatching system, and relates to the technical field of rail transit, the rail transit dispatching cooperation system comprises a time phase observation module, a time sequence analysis module, a conflict prediction module, an alignment correction module, a state determination module and a closed-loop extinguishing module, and fusing the time service link with the time mark data of the train control system to generate a continuous time sequence fingerprint baseline for identifying a scheduling switching boundary. According to the method, frequency mutation characteristics are extracted by constructing a time sequence fingerprint baseline, scheduling dislocation risks are identified, phase correction budget is generated, cross-interval scheduling alignment is achieved through double mirror image anchor points, judgment accuracy is guaranteed by combining buffer cone delay signal collection and double-channel verification, and finally, conflicts are absorbed through inverse phase traction and shadow periods, so that scheduling accuracy is improved. And scheduling rhythm closed-loop extinguishing control is realized.

A coordinated control method for an urban rail passenger flow, and an electronic device and a storage medium, which belong to the technical field of rail transit control. In order to realize passenger flow management and control without increasing the transport capacity, in the present application, a rail simulation system is used to deduce a predicted passenger flow of an urban rail line during rush hour, which involves data such as entry station IDs, exit station IDs, entry time periods and passenger flow volumes; performing division on the basis of different time periods t and stations s, so as to obtain a flow of passengers arriving at a station s and preparing to enter the station to take a train within the time period t; on the basis of historical passenger flow distribution data of subway operating companies, compiling statistics on passenger flows in various directions among historical passenger flows, and calculating the proportions of the passenger flows in the various directions among the historical passenger flows; constructing a mixed integer programming model for multi-station passenger flow coordinated control; and using a branch and bound algorithm to solve the mixed integer programming model for multi-station passenger flow coordinated control constructed in step S3, so as to obtain an optimal passenger entry flow scheme for stations. The present application realizes the effect of prioritizing the evacuation in a station with a large passenger flow.

The invention relates to the technical field of artificial intelligence and computer vision, discloses a subway key component fault detection method and system based on an AI visual large model, and aims to solve the problems of low detection precision, weak generalization ability, insufficient multi-mode understanding, poor real-time performance and lack of state evolution modeling in the prior art. The method comprises the following steps: acquiring images of key components through a multi-view industrial camera array, and performing distortion correction, illumination normalization and noise suppression; a pre-trained visual large model is utilized to extract deep space features, and modeling is carried out on a continuous frame feature sequence through bidirectional LSTM to capture a time sequence change trend. By introducing the large-scale visual large model and spatio-temporal joint modeling, the identification capability of tiny defects is improved, the discrimination stability is enhanced, high-precision and low-delay automatic detection is realized, the false alarm rate and the omission ratio are remarkably reduced, and the detection efficiency and the system maintainability are improved.

A defect detection system includes one or more route optical sensors configured to generate image data depicting an underbody of a vehicle that is on a route. The defect detection system also includes a controller configured to input the image data generated by the one or more route optical sensors into a first machine learning algorithm that determines an area of interest in the image data. The area of interest contains equipment of interest. The controller is configured to input the image data that is within the area of interest into a second machine learning algorithm that detects a defect on the equipment of interest. The controller is configured to perform at least one responsive action based on a type of defect that is detected.