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179 results about "Rail network" patented technology

High-speed rail train driving method based on section profile passenger flow

A high-speed rail train driving method based on the section profile passenger flow includes the following steps that high-speed rail station information is obtained through a high-speed rail network operating system firstly, and a high-speed rail network is divided into a plurality of sections; the stop modes of high-speed rail trains are determined according to multiple grades; the O-D (origin-destination) demands of each section are classified according to the stop modes; the historical data about the actual O-D demands of each section are obtained, and the time varying demand of each type of O-D in each section is obtained through a linear second exponential smoothing prediction method; on the basis, the driving scheme unit of each section is made according to the sequence of the trains from the high grade to the low grade; all the driving scheme units are spliced and combined to form an initial train driving scheme; and finally, the scheme is adjusted to meet various restraint conditions and optimized through a simulation annealing algorithm, and each high-speed rail train is driven according to the optimization result. The high-speed rail train driving method based on the section profile passenger flow takes the benefits of the high-speed rail system and the passenger demands into account, and can improve the running benefits of the high-speed rail system.
Owner:CENT SOUTH UNIV

Multilayer three-dimensional parking garage

ActiveCN102359294AImprove practicalityStable and reliable in and outParkingsInstabilityParking space
The invention provides a multilayer three-dimensional parking garage and belongs to the technical field of parking garages, and the multilayer three-dimensional parking garage can be used for solving the problems of difficulty in building of the traditional three-dimensional parking garage and instability of entering or leaving the parking garage. The multilayer three-dimensional parking garage comprises a control circuit and a bracket, wherein the bracket is divided into an upper-layer parking space and a lower-layer parking space; the upper-layer parking space is internally provided with an upper-layer vehicle carrying platform and an upper-layer drive mechanism; the upper-layer drive mechanism comprises a towing chain, an upper-layer drive device and a channeled rail network, and the upper-layer drive device is connected with the towing chain; the upper-layer vehicle carrying platform is provided with a pulley which is clamped in the channeled rail network, the towing chain is respectively arranged on the inner side of the bracket at two sides of a vehicle entrance, the end part of the towing chain is fixedly connected with a vertical arm on the corresponding side of the upper-layer vehicle carrying platform; and the towing chain can drive and pull the upper-layer vehicle carrying platform to move along entrance guide rails under the drive of the upper-layer drive device. The multilayer three-dimensional parking garage has the advantages of simpleness in building, good practicability, and stability and reliability when a vehicle enters a parking space, and can be built for multiple layers in an upward manner so that limited parking space resources are fully utilized and all parking spaces are not interfered mutually.
Owner:金华市西比特立体车库有限公司

Method and device for monitoring high-speed rail network quality

The invention discloses a method and a device for monitoring the high-speed rail network quality, and relates to the field of wireless communication network monitoring. According to the embodiment of the invention, wireless call lists of mass users are taken as an analysis object, call lists of high-speed rail users are screened out from the user wireless call lists based on an established high-speed rail sector group, call-drop records are screened out from the call lists of the high-speed rail users, the number of call-drop times of each high-speed rail sector in the high-speed rail sector group can be calculated according to the call-drop records, and a high-call-drop sector can be determined through sorting the number of call-drop number of each high-speed rail sector, thereby realizing monitoring for the high-speed rail network quality. On the one hand, the call lists of mass users can taken as the analysis object, thereby having the characteristics of large quantity of samples and high real-time performance, and being capable of discovering network problems timely and comprehensively; and on the other hand, screening is carried out on the call lists of the users so as to select the call lists of the high-speed rail users, the call lists of the high-speed rail users are taken as a statistical object, thereby being capable of reflecting network coverage quality problems in a high-speed rail area accurately.
Owner:CHINA TELECOM CORP LTD

High-speed rail network coverage prediction method and device based on machine learning and ray tracing

ActiveCN110933685AImplement singular value judgmentImprove robustnessMachine learningNetwork planningAlgorithmSimulation
The embodiment of the invention relates to a high-speed rail network coverage prediction method and device based on machine learning and ray tracing. The method comprises the steps that a three-dimensional electronic map of a target high-speed rail scene is acquired; based on the three-dimensional electronic map of the target high-speed rail scene, ray tracking simulation is used to calculate a preliminary prediction value of each position measurement point in the target high-speed rail scene; the preliminary prediction value is corrected through machine learning based on the actual measurement value of each position measurement point in the same target high-speed rail scene in combination with the preliminary prediction value of each position measurement point to obtain a correction factor of the preliminary prediction value; and according to the correction factor of the preliminary prediction value, high-speed rail scene receiving field intensity prediction is carried out by using ray tracking simulation. In the embodiment of the invention, a ray tracking simulation technology and deep reinforcement machine learning are utilized to provide a more accurate input basis for scene correction, the application deployment range is more universal, and the robustness is higher.
Owner:北京中铁建电气化设计研究院有限公司 +2

Throat area rail space-time conflict prediction based simulation method and system

The invention discloses a throat area rail space-time conflict prediction based simulation method. The throat area rail space-time conflict prediction based simulation method includes: establishing a station yard rail network model, making an approach road information table, and making a train timetable; determining if there is an available draw-up approach road or not, occupying the draw-up approach road and performing drawing up according to the selected draw-up approach road; selecting a departure approach road during departure; and determining there is an available departure approach road or not, and occupying the departure approach road and performing departure according to the selected departure approach road. The invention also provides a throat area rail space-time conflict prediction based simulation system including a rail model establishment model, an approach road information table making module, a train timetable making module, a draw-up approach road selection module, a draw-up approach road determination module, a draw-up rail occupation module, a departure approach road selection module, a departure approach road determination module, and a departure rail occupation module. The throat area rail space-time conflict prediction based simulation method is high in efficiency, is simple in process, and is wide in application range; and efficient convenient and high expansibility simulation of high speed railway stations can be achieved.
Owner:成都一石科技有限公司

High-speed train operation adjustment method and system based on Q learning

The invention discloses a high-speed train operation adjustment method and system based on Q learning, and relates to the technical field of high-speed train dynamic scheduling. The state, action and strategy of the train operation adjustment process and a reward function with the minimum train delay time as an objective function are accurately described, and a delay train dynamic adjustment scheme under an emergency is obtained through an interactive learning mode to assist a dispatcher in making a decision. Furthermore in two aspects of time-space supplying and restriction of a high-speed railway network resource, A road network operation simulation module supporting machine-machine interaction is designed and built, normal operation and late operation scenes caused by typical emergencies can be simulated, a scheduling instruction automatically generated by a scheduling scheme can be rapidly received to simulate train operation, the dynamic change process of a high-speed railway network is described, and the feasibility of the scheduling scheme is verified. And finally, real operation scene data are input to obtain a scheduling scheme, the validity of the method and the system is verified, and a new solution idea is provided for the train dynamic operation adjustment method.
Owner:NORTHEASTERN UNIV +1

High-speed rail network interference analysis method and device

The embodiment of the invention provides a high-speed rail network interference analysis method and device, and the method comprises the steps: acquiring a public network cell within a preset range ofa high-speed railway private network cell, and acquiring the public network basic information of the public network cell and the private network basic information of the private network cell; obtaining the distance between the base station of the public network cell and a high-speed railway line according to the public network basic information and the private network basic information, and a first angle between the a vertical line from the base station of the public network cell to the high-speed railway line and the direction of a main sector of the public network cell, and obtaining the interference value of the public network cell to the private network cell according to an obtained MR measurement report; performing the interference analysis of the high-speed rail network according tothe distance, the first angle, and the interference value. The device is used for performing the above method. The embodiment of the invention, the method integrates the position relation and mutualinterference relation between the public network and the high-speed railway network, and improves the accuracy of the interference analysis of the high-speed rail network.
Owner:CHINA MOBILE GROUP ZHEJIANG +1
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