9104 results about "Rail transit" patented technology

The invention discloses a prescription of a wheeltrack lubricant additive, which is characterized by strong bearing capacity, high temperature resistance and long effective time upon one time coating, thereby solving the defect that factigue crack expansion of the wheeltrack is accelerated by traditional grease for the generation of oil wedge effect. The prescription comprises 1 percent-30 percent of metal powder, 3 percent-50 percent of high temperature solid lubricant material and 5 percent-50 percent of fatty acid by weight. The strip solid materials can be produced in virtue of other accessories by the prescription.

The present invention relates to a method for on-line detecting railway car wheel set diameter and its detection equipment. It is characterized by that it utilizes the projection information of light source of structure light on the wheel set tread and base point information detected by displacement sensor to detect wheel average diameter parameter and left-right wheels wheel-diameter difference parameter. Said method includes the following steps: speed detection, starting light source, starting inside surface detection and image collection, image treatment, fitting rolling circle and diameter parameter calculation.

The invention discloses a rail transportation train automatic monitoring system based on communication, which comprises on-board equipment and a ground automatic monitoring system. The on-board equipment arranged on the train is used for collecting train information and sending to the ground automatic monitoring system through a wireless network, and is also used for receiving and executing dispatching commands sent by the ground automatic monitoring system. The ground automatic monitoring system is used for receiving the train information from the on-board equipment, interlocking calculating according to the train information to generate dispatching commands and sending the commands to the on-board equipment through the wireless network. The invention realizes the closed loop control to the train through the train-ground bidirectional information transmission, greatly lowers the effect of human error, and raises the system reliability; ATS system real-timely knows various operation parameters of the train such as the position, the speed, etc. thereby improving the operation efficiency and the automation of the system; moving block is realized through wireless communication, thereby facilitating the improvement of traffic density; and the train can timely respond the dispatching and the adjusting commands of the ATS system.

The invention relates to an intelligent vehicle-bone type running state monitoring and early warning device used for rail transporting vehicles. The device comprises at least a group of sensing component units used for obtaining the vehicle operation state, including the operation state of wheels on rails, the state of the deformation of a vehicle chassis component and a railway and abnormal road conditions or the state of vehicle-bone devices; an intelligent sensing information processing unit based on a micro processor and used for processing the sensing signals of the vehicle state, including signal processing, data-collecting processing, image edge detection and extraction, image tracking, the processing and the intelligent analyzing of mechanical vibration / noise information, data identification and extraction, the learning of vehicle states and relevant background information, the forming of monitoring and early warning results and information recording and storing; input / output units used for the output, the operation, the control and the data communication of the monitoring and early warning results; and a power supply unit. The intelligent vehicle-bone type running state monitoring and early warning device has the advantages of multiple functions, high intelligentization and informatization level, high cost performance, high creditability and convenient installation, etc., is easy to be expanded, and can be applied under all weather conditions.

The invention discloses a thermoplastic elastomer micropore foaming material and a preparation method thereof. The material comprises the following componnets in parts by weight: 70-95 parts of thermoplastic elastomer and 5-30 parts of foaming agent master batch. The preparation method comprises the following steps of: based on weight parts, placing 50-90 parts of compatibilizers, 6-30 parts of foaming agent and 4-20 parts of auxiliary foaming agents into a double-roller open mill for mixing to prepare foaming agent master batch; sequentially adding 100 parts of matrix rubber, 5-10 parts of active agent, 20-100 parts of reinforced fillers, 0-20 parts of softening agents, 0.5-5 parts of vulcanizing agents and 1-10 parts of accelerating agents into the open mill or an internal mixer for uniformly mixing to prepare a rubber compound; chopping the rubber compound and uniformly mixing the chopped rubber compound with 10-70 parts of plastics by a high-speed mixer; and extruding and pelleting the mixture to prepare thermoplastic vulcanizate (TPV) aggregates; and uniformly mixing the foaming agent master batch with the TPV aggregates to extrude and form again to prepare a high-performance micropore foaming material for vibration attenuation. The TPV foaming material is high in physical and mechanical properties and thermal ageing performance, is simple in process, can be widely popularized, and is suitable for being used in the field of rail transit.

The invention relates to a storage and processing method and a system of rail transit monitoring data. The method comprises the steps that centralized monitoring systems are established in a station, an electric service section and a railway management department; a centralized monitoring system of the station acquires various monitoring data; the centralized monitoring system of the electric service section acquires the monitoring data acquired by the centralized monitoring system of the station; an HDFS (Hadoop Distributed File System), an Hbase database, an Oracle database and a MapReduce parallel processing framework are established on a comprehensive operation and maintenance platform to form a cloud computing platform; the monitoring data is stored, analyzed and mined to generate knowledge rule data and various statistical information; and the centralized monitoring system of the railway management department generates and feeds back a dispatch control command to the centralized monitoring system of the electric service section. According to the method and the system, a cloud storage technology and the parallel processing framework are adopted, the storage, analysis and processing efficiency of rail transit resources and data is improved, and the safety and high usability of the data are ensured.

The invention provides a cross-camera suspicious pedestrian target tracking system for rail transit panoramic monitoring, which comprise a module for suspicious pedestrian target detection in single-camera rail transit video, a module for suspicious pedestrian target tracking in single-camera rail transit video, a module for target matching among multiple cameras, and a module for target transferring among multiple cameras, and is characterized in that the module for suspicious pedestrian target detection in single-camera rail transit video is used for recognizing a moving suspicious pedestrian in the single-camera rail monitoring video; the module for suspicious pedestrian target tracking in single-camera rail transit video is used for marking a moving suspicious pedestrian target in the single-camera rail transit video in real time; the module for target matching among multiple cameras is used for performing feature matching on the target pedestrian in the current monitoring camera and the pedestrian target in monitoring video of associated cameras; and the module for target transferring among multiple cameras is applied to a condition of a multi-camera visual field region, predicts a moving track of the suspicious pedestrian according to a matching result of the target between adjacent cameras, the moving direction of the pedestrian in the single camera and the topological structure of the cameras, and judges a coverage area in which the suspicious pedestrian target steps after walking out of the current region.

The invention claims a computer interlock system and method for controlling urban rail transit signals thereof, which relate to urban rail transit signal control field. The computer interlock system disclosed in the invention at least comprises an interlock control unit and an input and output unit, wherein the interlock control unit carries out a double two out of two interlock logical operation of according to state information of each signal device when receives an interlock operating command, and determines the state information of the signal device to be controlled by the interlock operating command according to the result of the interlock logical operation and outputs to the input and output unit; the input and output unit outputs driving information for controlling the signal device to reach the determined state to the signal device to be controlled by the interlock operating command. The example in the application can guarantee a subway system to operate safely and reliably; and the embodiment in the application is not only suitable for moving block, but also suitable for quasi moving block and fixed block, and is high in flexibility.

The invention discloses a staged multi-path model algorithm of urban rail transit network passenger flow distribution. The algorithm comprises the following steps of: dividing definite factors and indefinite factors affecting the outgoing of passengers into two stages to calculate and correct the passenger flow distribution proportion of a path, determining the initial distribution proportion of the passenger flow on the path by using the comprehensive outgoing impedance of time unit as a main factor, and correcting the proportion by considering the transfer times and the crowdedness degree on the basis of time window constraints according to a generated full origin-destination (OD) passenger flow distribution path set. The model and the algorithm provided by the invention have higher reasonability and practicability and can effectively serve the passenger flow management of the urban rail transit, meet the service requirement of clearing automatic fare collection (AFC) passenger flow and fare, and provide auxiliary decision proof for operation organization optimization and coordination.

The invention relates to a method for constructing a real scene model collaborative design platform of railway engineering. Railway and urban rail transit projects are distributed in a strip shape, engineering data are large, numerous professions are involved, and therefore, the efficient and stable collaborative design platform needs establishing. According to the method, the strip-shaped continuous three-dimensional real scene model is established along the whole range of the project, and fusion processing is performed on all professional three-dimensional building information models (BIM) and the three-dimensional real scene model. Under the management mode of a distributed database, management is performed on a global data base of the three-dimensional real scene model collaborative design platform and special databases of all professional BIM design platforms which only transmit upstream data and downstream data involved in collaborative design and generated BIM three-dimensional design results onto the three-dimensional real scene model collaborative design platform. By means of the method, the strip-shaped project information model along the whole range of the project is established, all professional interactive data are integrated into a continuous three-dimensional real scene, and collaborative design is achieved.

The present invention discloses a calculation method of movement authority for communications-based train control system, comprising: handling a route information for a train, and determining a searching range of the train according to the route information; initializing the limit of movement authority with the end position of the searching range; searching for static obstacles within the searching range, and successively determining whether each static obstacle meets the safety requirements for train operating, if not, setting the position of the last static obstacle within the searching range as the limit of the movement authority; if so, modifying the limit of movement authority as the end of route having been matched; searching for dynamic obstacles within the searching range, and determining whether there is a train, if so, modifying the end of movement authority as the beginning point of the track section where the train is occupying; if there is no dynamic obstacle within the searching range, modifying the final end is of movement authority as the position of the last static obstacle within the searching range. In accordance with the present invention, it is possible to increase line capacity and improve traffic fluidity for rail transit.

The invention provides a vehicle working condition online monitoring system for a rail transit, and belongs to the technical field of rail transits. The monitoring system provided by the invention comprises a vehicle working condition data acquisition module, a composite sensor, a vehicle-mounted working condition information preprocessor, a driver information display system, a regional information processor, a ground center information processor and a network communication transmission system; and the fault region of a vehicle can be divided into a primary level, a regional level and a central level, and the state data can be sent to the ground through the network communication transmission system, so that the fault of the primary level is analyzed and processed through the correspondingvehicle-mounted working condition information preprocessor, the fault of the regional level is analyzed and processed through the regional information processor of the corresponding ground, and the fault of the central level is analyzed and processed through the ground center information processor of the corresponding ground. Therefore, different fault types can be timely and effectively solved at the most proper places, networking and intelligence of the monitoring system are realized, and running reliability and safety of the rail transit can be finally improved.

A rail transit passenger flow predicting method for predicting passenger travel probability and based on a support vector machine (SVM) includes the following steps: 1 collecting rail transit historical data including a starting station and a destination station of a passenger travel, station entering time and station leaving time; 2 acquiring passenger travel proportion in a statistics mode based on the historical data; 3 training the least square SVM according to the travel proportion obtained by statistics to predict the passenger travel probability; 4 storing the predicted travel proportion for a real-time passenger flow prediction module; 5 collecting real-time station entering passenger flow data which is used as a set of passenger station entering records; 6 acquiring the passenger travel probability at the station and stored in the step 4 and predicting the destination station of the passenger travel; 7 simulating the passenger travel by combining the departure interval of trains, calculating the time when the passengers reach and leave each station and updating full-road-network passenger flow. By means of the method, prediction is conducted by utilizing the passenger travel law, the station entering passenger flow can be predicted in real time, and prediction accuracy is high.

The invention discloses a rail transit vehicle equipment universal detection and fault diagnosis method and a system thereof. The method comprises the following steps: signals acquired through a data acquisition module are input to a fault diagnosis module to obtain a fault diagnosis conclusion; an expert system rule base is arranged in the fault diagnosis module; and a plurality of rules relevant to faults are stored in the expert system rule base; the expert system rule base adopts fault trees to represent the interrelationship of the various rules; a fault diagnosis process is served as a data matching process based on importance degree; the acquired data and the rules in the expert system rule base are matched from the highest importance degree to the lowest importance degree; if the matching is successful, a matching result is output and a fault conclusion is given out; and no fault occurs if the matching is not successful after the whole rule base is browsed. The rail transit vehicle equipment universal detection and fault diagnosis method and the system have good universality and are quick in fault diagnosis.

The invention relates to a system for recovering vehicle braking energy in urban rail transit, which comprises a first direct-current high-speed switch, a charging circuit unit, a super capacitor array, a discharging circuit unit, a variable pressure stabilizing unit, a second direct-current high-speed switch, a DC / AC converter, an alternating-current high-speed switch and an ACU auxiliary control unit; when the vehicle brakes, the system determines the storage energy in the supercapacitor array through the ACU auxiliary control unit and switch with a major loop in real time. Compared with the prior art, the system effectively utilizes energy and reuses the recovered energy in air conditioning or lighting, etc. inside the carriage; the system solves the network voltage fluctuation problem of the prior vehicle regenerative braking energy recovery, and forms an energy recovery closed-cycle control system of the vehicle itself as the main body; in addition, the system cannot impact the network voltage, but only absorb the energy of the self motor train unit; as the supercapacitor used by the system has small size, the management and control of the power source is easier, and the installation mode is more flexible.

The invention discloses a method of comprehensively judging a resident trip mode based on handset signaling data, which belongs to the transport planning and management data analyzing field. A data source is from handset signaling data provided by mobile network service providers. Data cleaning, integrating and position conversion are further performed. A resident trip mode is further judged by mobile space-time path describing and stopover point identifying. The method which can effectively discriminate seven common trip modes including walking, bicycling, routine bus, electric vehicle, self-driving, taxi and rail transit thus acquires trip mode information of residents. A data basis is further provided for fields of special traffic programs, comprehensive traffic programs and intelligent traffic systems of cities, etc.

The invention relates to a method and a system of fault diagnosis of a rail transit based on an SVM (Support Vector Machine). The method comprises the following steps of collecting historical monitoring data and real-time monitoring data of the rail transit and transmitting the historical monitoring data and the real-time monitoring data to a data analysis server to carry out preprocessing, feature selection, data vectoring and model training, computing, analyzing and classifying the real-time monitoring data according to a classification model which is obtained through the historical monitoring data, judging whether a fault exists and obtaining a reason for generating the fault. The system comprises a data collection component, a data storage component, a data preprocessing component, a feature selection component, a data vectoring component, a model training component and a real-time data analysis component. According to the method and the system, manual judgment and analysis of the fault in mass monitoring signals can be replaced by an automatic monitoring manner, so that a large amount of labor cost and the time for analyzing the reason of the fault can be reduced for providing a time guarantee for subsequent jobs, such as maintenance and rescue.

The invention discloses a RFID (radio frequency identification devices)-assisted subway train position detecting and accurate parking system which can be used for timely correcting the position detection result of the existing rail transit train. The system comprises a vehicle-mounted reader-writer, a radio frequency antenna, a plurality of ground electronic labels, a train information processing unit and a background main system, wherein the vehicle-mounted reader-writer is arranged at the head of a subway train and is connected with the train information processing unit; the radio frequency antenna is arranged at the center of the bottom at the head of the train and is arranged right above the center line of a track; and the ground electronic labels with different spacing distances are arranged on the center line of the track. After the invention is used, the real-time detection of the subway train position and the accurate parking of the train can be realized, the length of a station can be effectively shortened due to an accurate train parking technology, therefore, the investment cost can be saved, the system can be furthest matched with a screen door of a station, so as to convenient for a passenger to get on and off, and meet the trip comfortableness requirement of the passenger.

The rail transportation system of small vehicles is used to replace available underground railway and light rail system, and has small driverless vehicles running in closed rail. The system consists of vehicles, closed rails and stations, the vehicles are computerized automatic ones, the closed rails is provided with vehicle controlling equipment, and the vehicles are started from stations randomly for express service from station to station. The present invention has the advantages of great traffic amount similar to that of main stem transportation, personalized service, low construction investment and low running expensive. It may be used for both passenger transport and cargo transport, and municipal rail transportation network may be constructed.

The invention relates to an automatic train protection system and method based on image identification and multi-perception fusion. The automatic train protection system comprises an image collection unit (1), an image processing unit (2), a multi-perception fusion processing unit (3), an auxiliary perception unit (4) and an early warning result output unit (5), wherein the image collection unit (1), the image processing unit (2), the multi-perception fusion processing unit (3) and the early warning result output unit (5) are connected in sequence; the auxiliary perception unit (4) is connected with the multi-perception fusion processing unit (3). Compared with the prior art, the automatic train protection system and method based on image identification and multi-perception fusion can be adapted to complex conditions appearing in urban mass transit operation lines, the safe protection of a train is automatically realized according to the practical condition of a line, and the operation safety of urban mass transit is greatly improved.

The invention discloses a mining analyzing and fault diagnosis system of rail transit monitoring data, and relates to the technical field of railway signals. The system comprises a signal monitoring system data processing unit, a data analyzing unit, a knowledge base unit and a fault diagnosis unit, wherein the signal monitoring system data processing unit is used for acquiring history railway signal monitoring data and real-time railway signal monitoring data from an on-site centralized signaling monitoring (CSM) device in each electric service workshop or work area. The data analyzing unit is used for analyzing the history railway signal monitoring data acquired by the signal monitoring system data processing unit, and generating fault diagnosis rules. The knowledge base unit is used for storing judging standards, and storing the fault diagnosis rules of the data analyzing unit, wherein the judging standards are formulated according to the work principle of each railway signal device and national and industry standards and specifications in the railway signal field and are used for fault diagnosis. The fault diagnosis unit is used for generating fault diagnosis results according to the fault diagnosis rules and the judging standards as for the real-time railway signal monitoring data acquired by the signal monitoring system data processing unit.

The invention discloses a method and apparatus for forwarding a data packet in a time-triggered network. The method comprises the following steps: firstly, calculating a time routing forwarding table according to service flow and a topological structure of the network, configuring the time routing forwarding table in a switch, when the data packet arrives, inquiring the time routing forwarding table according to an HASH operation result of a feature field in the data packet to obtain an allowable arrival time slot of the data packet and an output port number of the data packet, comparing the arrival time slot with the allowable arrival time slot of the data packet, forwarding the data packet if the arrival time slot satisfies the allowable arrival time slot, and otherwise, discarding the data packet. Compared with the prior art, the method and apparatus disclosed by the invention have the advantages of reducing the design complexity of the switch of the time-triggered network, realizing error tolerance of the network and reducing the forwarding delay of the data packet, the method and apparatus can be applied to optical fiber channel networks, Ethernet and other scenes, the nodes of the network have a communication time having time synchronization, no conflict, low delay and certainty, and the demands of aerospace, medical technology , rail transit, automobile and other fields for high-speed, real-time and fault-tolerant communication applications can be satisfied.

The utility model provides an urban rain transit signal maintenance supporting system, which comprises equipment centralized stations, car depots, parking bays, mobile servicing system (MSS) station equipment arranged in a control center on an urban rail transit line. MSS line maintenance center equipment arranged in the line maintenance center of the urban rail transit line communicates with all MSS station equipment on the rail transit line. MSS net maintenance center equipment arranged in the net maintenance center of the urban rail transit line communicates with all MSS line maintenance center equipment on the urban rail transit line. The system is important running equipment for guaranteeing running safety, enhancing signal equipment combination part management, monitoring the status of signal equipment, finding potential hazards in the signal equipment, analyzing fault causes of the signal equipment, assisting with fault handling, guiding field maintenance, reflecting equipment application quality and improving the maintenance level and the maintenance efficiency of signal departments.

The invention discloses a fault diagnosis-based rail transit vehicle bearing residual life prediction method. The method includes the following steps that: S100, multi-angle feature extraction and fusion are performed; S200, cyclostationary theory-based fault diagnosis is performed; S300, multi-variable model training is performed, so that multi-variable model-based fault isolation is realized; and S400, based on a semi-supervised algorithm, a BP neural network algorithm and a support vector regression algorithm are used in combination to perform fault diagnosis-based residual life prediction. With the fault diagnosis-based rail transit vehicle bearing residual life prediction method of the invention adopted, fault detection, fault isolation and residual life prediction at the early stage of the fault of a bearing are realized, and a basis is provided for the formulation of vehicle bearing maintenance decision making.

The invention provides a passenger volume prediction method of urban rail transit. The passenger volume prediction method comprises the following steps: accounting OD (Origin-Destination) distributionmatrices based on current time of target rail transit lines; acquiring a passenger volume prediction model by building and using historical OD distribution matrix training of the target rail transitlines according to a prediction requirement; and predicting the passenger volume of specified road sections of the target rail transit lines in a prediction time period. According to the passenger volume prediction method of the urban rail transit disclosed by the invention, passenger volume prediction processes can be effectively simplified, calculation speed and calculation precision are improved, and a powerful support is provided for reasonably carrying out management and dispatching of transport in time.

The invention provides a cellular signaling data based track traffic travel mode identification method for a resident. The method is characterized by comprising the steps of obtaining all cellular signaling data in daily travel of one resident, identifying an effective travel section, constructing a geographic grid system, mapping a track traffic route and the effective travel section into the geographic grid system, and recording position information by using a grid coordinate sequence; and in the grid system, judging whether the travel belongs to the track traffic travel or not according to the position matching of the effective travel section and the track traffic route, the track similarity and an average speed value of the travel section. According to the method, high-timeliness and high-precision judgment on a track traffic travel mode is realized by utilizing mass cellular signaling data; and the method is favorable for a traffic management department to accurately master track traffic route information and reasonably plan the track traffic route, and has an important significance for improving the living quality of residents and the satisfactory degree of city traffic.

The invention provides a method for predicating noise simulation of a rail transit bridge structure. The method can be used for widening the noise analysis frequency band of a bridge structure and improving the predication precision and the calculation efficiency, and is applicable to structural noise analysis for bridges of different types. The method comprises the following steps: firstly collecting prediction parameters for noise simulation of the rail transit bridge structure and inputting the prediction parameters into a low frequency band train-rail-bridge coupled vibration model and an intermediate-high frequency band train-rail-bridge coupled vibration model so as to respectively calculate the vibratory response of the bridge structure and the vibratory response of a steel rail; and establishing a bridge sound radiation boundary element model with low-frequency band and a bridge sound radiation statistic energy analysis model with an intermediate-high frequency band, calculating the noise radiation of the bridge structure in the low-frequency band and the intermediate-high frequency band, and then utilizing the noise composition principle to predicate the total noises radiated by the bridge structure.

The invention discloses a park and ride facility optimal siting and capacity determining method based on rail transit, which is capable of improving the share rate of public transport by joint optimization of siting and capacity, therefore reducing the total number of motor vehicles into a central business district, and easing the urban traffic congestion. For more reasonable planning of park and ride facilities, the invention determines an optimal site for and the capacity of each park and ride facility by establishing a bilevel mathematical programming model in a multimode transport network and using a joint traffic modal split and traffic assignment model at the lower level, and can solve the above models by applying a heuristic genetic algorithm. Finally, the optimal site for and the corresponding capacity of each park and ride facility in the network are obtained.

The invention provides a rail transit comprehensive monitoring scheduling coordinating and operation and maintenance information-based system which comprises a data collecting device, a monitoring and maintaining device, an electric service CSM, an application supporting device and a monitoring operation and maintenance device. The data collecting device is used for collecting rail transit equipment data, and transmitting the equipment data to the monitoring and maintaining device. The monitoring and maintaining device is used for monitoring and analyzing the equipment data, generating device-level monitoring data, reusing the equipment data and the monitoring data, and transmitting the equipment data and the monitoring data to the electric service CSM and the application supporting device respectively. The application supporting device is used for analyzing the data according to the equipment data and the service state, and carrying out data analysis and failure diagnosis. The monitoring operation and maintenance device is used for obtaining data analysis results and failure diagnosis results of various services from the application supporting device, and displaying and applying the results. The rail transit comprehensive monitoring scheduling coordinating and operation and maintenance information-based system can improve centralized management level and operation and maintenance level of railway equipment, and achieves integrated and intelligentized railway operation and maintenance.

The invention mainly relates to an electronic device used for intelligently controlling and monitoring a track traffic interlocking control point switch, in particular to a system for controlling and monitoring the position of railway points. The invention is characterized in that the electronic device comprises a control mechanism (1), an electrical signal between an execution mechanism (2) and a point switch (5), and a monitoring mechanism (3) for the self-detection of the device; the control mechanism (1) and the monitoring mechanism (3) are connected with an external computer by a communication fieldbus; the execution mechanism (2) is connected with the control mechanism (1) and the point switch (5); the monitoring mechanism (3) is connected with the execution mechanism (2) and the control mechanism (1); the monitoring mechanism (3) is connected with the external computer by a data communication fieldbus. In the invention, the electronic device is adopted for replacing the existing relay contact circuit; an interlocking control device for railway signal is realized by the integration of controlling, monitoring and supervising, therefore, the invention has the advantages of self-detection function, fault position, and stable and reliable work.