Intelligent driving scheduling system for rail transit network

Abstract

The invention relates to an intelligent driving scheduling system for a rail transit network. Comprising a wire network passenger flow analysis and prediction cluster server, a hot standby redundant application server, a wire network working diagram server, a hot standby redundant database server and storage, a hot standby redundant and ACC system interface server, a hot standby redundant line ATS interface server, a hot standby redundant wire network big data interface server and a hot standby redundant NCC interface server. The system comprises an equivalent insurance service subsystem, network equipment, a redundant network working diagram editing workstation, an extensible number of network scheduling workstations, an extensible number of network maintenance workstations, an extensible number of network playback workstations and a large-screen interface workstation, and the equipment adopts dual-network connection networking. According to the invention, network related information is obtained through interfaces with each line, ACC and a big data platform, the operation plan is further optimized, and energy conservation and consumption reduction are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of urban rail transit line network train intelligent scheduling, in particular to a rail transit line network intelligent train scheduling system. BACKGROUND

[0002] The urban rail transit line network train scheduling system is a key system for realizing real-time monitoring of line network scheduling personnel on train operation conditions, line conditions and equipment real-time operation states. In order to ensure that the line network scheduling personnel can timely understand the operation conditions of the entire line network, communicate with the line scheduling personnel and coordinate the scheduling among the line scheduling personnel, the line network train scheduling system must be continuously and reliably operated for a long time, and intelligently link each line. Therefore, the rail transit line network intelligent train scheduling system must have intelligent research and judgment, line network passenger flow analysis and prediction, line network diagram real-time adjustment and issuing, and the key information processing equipment in the system must be fault-tolerant and redundantly configured. SUMMARY

[0003] To solve the existing technical problems, the present application provides a rail transit line network intelligent train scheduling system.

[0004] The specific content of the present application is as follows: a rail transit line network intelligent train scheduling system, comprising a line network passenger flow analysis and prediction cluster server, a hot standby redundant application server, a line network diagram server, a hot standby redundant database server and storage, a hot standby redundant ACC system interface server, a hot standby redundant line ATS interface server, a hot standby redundant line network big data interface server, a hot standby redundant NCC interface server, an equal protection service subsystem, network equipment, a redundant line network diagram editing workstation, a number of expandable line network scheduling workstations, a number of expandable line network maintenance workstations, a number of expandable line network playback workstations, a large screen interface workstation, each device is connected in network by double network, can be all deployed in a cloud platform virtual environment, or all deployed on physical devices, or a part of the cloud platform virtual environment and a part of the physical devices.

[0005] Further, the historical passenger flow in the line network is analyzed in detail through the ACC system interface, and the short-time passenger flow, planned passenger flow and emergency passenger flow in the line network are predicted.

[0006] Further, according to the passenger flow analysis data and the basic data in the line network, the intelligent planning of the transportation scheme, the intelligent compilation of the line network diagram, the intelligent optimization of the line network diagram, the unified management of the line network diagram, the dynamic adjustment of the line network diagram and the unified issuing are realized.

[0007] Further, in the case of sudden passenger flow, the intelligent analysis of the coordinated transport strategy between the lines and the transfer stations in the current line network is carried out; in the case of sudden equipment failure, sudden events or abnormal passenger flow in the line network, the influence range of the event is analyzed and judged from the line network level, and the operation plan and the operation diagram adjustment scheme are given; when the transfer station, the connecting line or the single line encounters a sudden situation or a fault, the influence on the adjacent line is caused, the system coordinates the dispatching of each line, and the operation adjustment scheme is provided to assist the train operation adjustment.

[0008] Further, the data analysis of the historical operation diagram and the actual operation is carried out, and the line network operation is reflected in the form of indexes or reports.

[0009] Further, the system forms the dispatching strategy in combination with the auxiliary analysis result of the line network level, and automatically or through the man-machine interface, the dispatching strategy, the dispatching instruction and the train operation control file are issued to realize the train operation linkage control with the ATS system on the line side.

[0010] Further, the train dispatching command is electronically issued, and the system realizes the emergency linkage between the line network dispatching and the line dispatching and between the line dispatchings.

[0011] Further, all the interfaces can be combined and deployed in a set of hot standby redundant interface servers, or can be dispersedly deployed, and the number of system interfaces can be flexibly increased or decreased.

[0012] Further, the line network line management information is obtained through the interface with the Xianwang big data, and then the energy consumption-load distribution is analyzed, so that the operation plan of each line in the line network is optimized to realize the energy saving and consumption reduction.

[0013] The present application obtains the line network related information through the interface with each line, the interface with the ACC and the big data platform, further optimizes the operation plan, realizes the energy saving and consumption reduction, through the line network passenger flow analysis and prediction, the passenger transfer connection and the first and last train operation plan can be optimized, and through the fault decision, the coordinated linkage of the line dispatching and the line network dispatching can be realized. BRIEF DESCRIPTION OF DRAWINGS

[0014] The present application will be further illustrated below in combination with the drawings.

[0015] Figure 1 It is a deployment schematic diagram of the intelligent train dispatching system of the rail transit line network. DETAILED DESCRIPTION

[0016] In combination with Figure 1The application discloses a kind of rail transit line network intelligent driving scheduling systems, including line network passenger flow analysis and prediction cluster server, hot backup redundant application server, line network diagram server, hot backup redundant database server and storage, hot backup redundant ACC system interface server, hot backup redundant line ATS interface server, hot backup redundant line network big data interface server, hot backup redundant NCC interface server, network equipment, redundant line network diagram editing workstation, scalable line network scheduling workstation, scalable line network maintenance workstation, scalable line network playback workstation, large screen interface workstation, each equipment is connected networking using double network, can be all deployed in cloud platform virtual environment, or all be deployed on entity equipment, or cloud platform virtual environment and entity equipment each deploy a part.

[0017] In the embodiment, the line network passenger flow analysis and prediction cluster server, the hot backup redundant application server, the line network diagram server, the hot backup redundant database server and storage, the hot backup redundant ACC system interface server, the hot backup redundant line ATS interface server, the hot backup redundant line network big data interface server, the hot backup redundant NCC interface server and the equal protection service subsystem are deployed in the cloud platform virtual environment, and the remaining devices are deployed in the entity equipment.

[0018] The system performs fine analysis on historical passenger flow in the line network through the ACC system interface, and predicts short-time passenger flow, planned passenger flow and emergency passenger flow in the line network. According to the passenger flow analysis data and the basic data in the line network, intelligent planning of the transportation scheme, intelligent compilation of the line network diagram, intelligent optimization of the line network diagram, unified management of the line network diagram, dynamic adjustment of the line network diagram and unified distribution are realized.

[0019] In the case of emergency passenger flow, the intelligent analysis is performed on the coordinated transportation strategy between lines and transfer stations in the current line network. In the case of emergency equipment failure, emergency event or abnormal passenger flow in the line network, the influence range of the event is analyzed and judged from the line network level, and the operation plan and the operation diagram adjustment scheme are given. When the transfer station, the connecting line or the single line encounters an emergency situation or a fault, the system coordinates the dispatching of each line, assists in providing the operation adjustment scheme, and cooperates to adjust the driving.

[0020] The system analyzes the historical operation diagram and the actual operation situation, and reflects the line network operation situation in the form of index or report. The system forms the dispatching strategy in combination with the auxiliary analysis result of the line network level, automatically or through the man-machine interface, issues the dispatching strategy, the dispatching instruction and the driving control file, realizes the driving linkage control with the line side ATS system. The driving dispatching command is issued electronically, and the system realizes the emergency linkage between the line network dispatching and the line dispatching. All interfaces can be combined and deployed in a set of hot backup redundant interface server, or can be scattered and deployed, and the number of system interfaces can be flexibly increased or decreased.

[0021] The embodiment is preferably used for acquiring the energy management information of each line of the line network through the interface with the Xianwang big data, and then analyzing the energy consumption-load distribution, so as to optimize the operation plan of each line of the line network and realize the planned energy saving and consumption reduction.

[0022] The track traffic line network intelligent driving scheduling system has the effects of comprehensively analyzing line network events, real-time adjusting and issuing line network operation diagrams, and coordinating and linking line network scheduling and line scheduling and the line scheduling. The system adopts the information highly coupled and shared mode of the line and line network scheduling system, the line side scheduling subsystem real-time processes the emergency scheduling events of the line, and shares the line events and disposal measures to the line network scheduling system. The line network scheduling subsystem processes the external network sudden events and the scheduling events affecting adjacent lines, and real-time pushes the scheduling commands to the affected lines. The system realizes the effects of real-time disposal of the emergency scheduling events through the information sharing and complementary advantages of the line and line network scheduling systems, and improves the emergency disposal efficiency and real-time performance.

[0023] In the above description, many specific details are set forth in order to provide a thorough understanding of the present application. However, the above description is only a preferred embodiment of the present application, and the present application can be implemented in many different ways from those described herein, so the present application is not limited to the above disclosed specific implementation. Meanwhile, any person skilled in the art can make many possible changes and modifications to the above disclosed methods and technical contents, or modify equivalent embodiments, without departing from the scope of the technical solution of the present application. Any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application, without departing from the scope of the technical solution of the present application, still belongs to the protection scope of the technical solution of the present application.

Claims

1. A rail transit network intelligent train dispatching system, characterized in that: The system includes a line network passenger flow analysis and prediction cluster server, a hot standby redundant application server, a line network diagram server, a hot standby redundant database server and storage, a hot standby redundant ACC system interface server, a hot standby redundant line ATS interface server, a hot standby redundant line network big data interface server, a hot standby redundant NCC interface server, an equal protection service subsystem, network equipment, a redundant line network diagram editing workstation, a scalable number of line network dispatching workstations, a scalable number of line network maintenance workstations, a scalable number of line network playback workstations, a large screen interface workstation, each device is connected in a network using dual network, and can be all deployed in a cloud platform virtual environment, or all deployed on physical devices, or a part of the cloud platform virtual environment and a part of the physical devices. 2.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: Through the interface with the ACC system, the historical passenger flow in the line network is analyzed in detail, and the short-term passenger flow, planned passenger flow and emergency passenger flow in the line network are predicted. 3.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: According to the passenger flow analysis data and the basic data in the line network, intelligent planning of transportation scheme, intelligent compilation of line network diagram, intelligent optimization of line network diagram, unified management of operation diagram, dynamic adjustment of operation diagram and unified distribution are realized. 4.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: In the case of sudden passenger flow, the intelligent analysis of the coordinated transportation strategy between lines and transfer stations in the current line network is carried out; in the case of sudden equipment failure, sudden event or abnormal passenger flow in the line network, the influence range of the event is analyzed and judged from the line network level, and the operation plan and operation diagram adjustment scheme are given; when the transfer station, liaison line or single line encounters a sudden situation or failure, the system coordinates the dispatching of each line and assists in providing an operation adjustment scheme to coordinate the train adjustment. 5.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: The data analysis of historical operation diagram and actual operation situation is carried out, and the line network operation situation is reflected in the form of index or report. 6.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: The system forms a dispatching strategy in combination with the auxiliary analysis results of the line network level, and automatically or through a man-machine interface, issues a dispatching strategy, a dispatching instruction and a train control file to realize the train linkage control with the ATS system on the line side. 7.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: The train dispatching command is issued electronically, and the system realizes the emergency linkage between line network dispatching and line dispatching, and between line dispatchings. 8.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: All interfaces can be combined and deployed in a set of hot standby redundant interface server, or can be scattered and deployed, and the number of system interfaces can be flexibly increased or decreased. 9.The intelligent train dispatching system for rail transit network according to claim 1, characterized in that: Through the Xianwang big data interface, the line network line management information is obtained, and the energy consumption-load distribution is analyzed to optimize the line network line operation plan and realize the planned energy saving and consumption reduction.

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