Construction method and device of system for drawing networked train working diagram based on four dimensions

Abstract

The invention discloses a construction method, a construction device and construction equipment of a system for drawing a networked train working diagram based on four dimensions, and a computer readable storage medium. According to the method, line network topological structure data, signal system train control logic data, train operation time data and operation train data are used as basic input, and base mapping logic is constructed; a transportation organization scheme decision is provided around the fine-granularity passenger flow, decision scheme result data is formed, and the multi-source heterogeneous data are mapped and fused through universal underlying logic. Relying on a mapping fusion data set, a train working diagram is compiled through interactive drawing and fine adjustment functions, and operation business rule scenes such as driving management, passenger flow organization, vehicle application and transfer passenger flow connection are converted into quantitative constraint conditions to be fused into a system and a whole drawing process; it is ensured that the result of the networked train working diagram meets operation business management requirements, refined compiling of the networked train working diagram is achieved, and refined operation management of rail transit is served.

Description

Technical Field

[0001] This invention belongs to the field of rail transit operation management technology, and more specifically, relates to a method, device, equipment, and computer-readable storage medium for constructing a networked train operation diagram system based on four-dimensional drawing. Background Technology

[0002] Train timetables are the foundation of rail transit companies' operations and production organization, and the core of train operation organization and management. The technical level and level of detail in train timetable compilation directly affect the precision of operation management, and further impact the efficiency of system operation. To compile detailed and networked train timetables, it is essential to have the necessary compilation tools that meet these requirements.

[0003] In related technologies, all domestic timetable compilation tools (including commercial timetable compilation tools and timetable editing tools built into signaling systems) introduce the concept of a "scale." The basic components of a scale include interval time, stop time, and origin / end track codes. Modifying the scale requires modifying the interval travel time element, stop time element, and origin / end track code element. Train timetable compilation is based on the scale; different train lines in the timetable correspond to different scales. A single timetable has as many scales as there are different train lines (different origins / ends, different interval time levels, arbitrary stop times at different stations, different train types, different stop locations, trains stopping on different tracks upon entering stations, different train lengths, etc., all require different scales). If different train lines need to be constructed, different scales must first be constructed. When rail transit involves complex train operation scenarios and the need for refined timetable compilation, such as networked operation, interconnection, flexible train formation, express and local train operation, and configuring interval travel time levels according to the total train weight, train timetable compilation tools developed using "scale" technology are no longer suitable for the needs of rail transit operation development.

[0004] Furthermore, rail transit is a major electricity consumer in cities, with train traction accounting for over 50% of electricity consumption, making it a crucial component of cost reduction and efficiency improvement. Creating energy-efficient train timetables is fundamental and key to energy conservation, characterized by "refined timetable creation + targeted timetable creation." Refined timetable creation involves incorporating key factors affecting train energy consumption, such as station spacing, travel time levels, train weight, and track alignment, into the entire timetable creation process. Targeted timetable creation uses timetable tools to achieve a reasonable and effective match between passenger demand and the supply of vehicles and equipment by operating companies, achieving efficient passenger transport with minimal energy consumption. Existing timetable creation tools based on "scale" technology cannot meet the conditions for creating refined train timetables by adjusting the scale. Moreover, "scale" timetable creation technology is also difficult to adapt to complex and flexible train operation scenarios, such as complex network operations, interconnected systems, express and local train operations, flexible train formations, virtual train formations, and mixed operations of different train formations. Furthermore, existing train timetable creation tools can only create timetables for single lines, which cannot meet the current requirements for networked operation of rail transit. In other words, existing train timetable creation tools and technologies have constrained the development of energy conservation and carbon reduction, refined operation, and networked operation in rail transit.

[0005] Therefore, the professional and universal software system developed by the present invention using four-dimensional digital line drawing can be adapted to all existing train operation scenarios and train control methods of different signal manufacturers in China. It can also adapt to the networked operation of my country's rail transit and can be used as a carrier tool to realize the refined mapping requirements for reducing train operation energy consumption. It enables rail transit to achieve refined management through refined mapping without adding or modifying existing facilities and vehicles. Summary of the Invention

[0006] The purpose of this application is to provide a method, device, equipment, and computer-readable storage medium for constructing a networked train timetable system based on four dimensions, so as to realize a refined, constrained, and interactive timetable compilation method and system for networked train operation organization scenarios in rail transit.

[0007] To address the aforementioned deficiencies or improvement needs of existing technologies, this invention provides a method for constructing a networked train operation diagram system based on four-dimensional mapping, comprising: Data on the topology of the rail transit network, train operation time data for each line, operating train data for each line, signal system operation direction and path data for each line, and affiliation data between different lines are obtained from the database; wherein, the affiliation data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data; Based on fine-grained passenger flow data, the system performs auxiliary decision-making functions for transportation organization schemes, and obtains transportation organization outcome scheme data. The data of the rail transit network topology, the data of the operating trains on each line, the data of the train running time on each line, and the data of the transportation organization results scheme are mapped and fused based on a generalized underlying logic adapted to different signaling and train control systems to obtain a fused dataset. Based on the user's interaction needs and the fused dataset, the target train's operating line is interactively drawn and finely adjusted in the interactive interface to obtain initial operating line group data. During the interactive drawing process, the train operation management business rules, which consist of train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround rail rotation, are converted into quantitative constraints and applied to the drawing and adjustment of the initial operating line group data. Based on the requirements of train operation management business processes, the initial train group data is refined to obtain networked train operation diagrams / tables and ATS interface data, which can be applied to train operation control of rail transit network operating companies.

[0008] Optionally, a transportation organization plan auxiliary decision-making function can be executed based on fine-grained passenger flow data to obtain transportation organization result plan data, including: Fine-grained passenger flow data with spatiotemporal characteristics is obtained by acquiring and parsing passenger flow database. Based on the fine-grained passenger flow data with the aforementioned spatiotemporal characteristics, the transportation organization outcome plan data is configured in a refined manner; wherein, the transportation organization outcome plan data includes: train operation plan configuration data, service interval data, train stop time data, train utilization plan data, train operation route plan configuration data, train stop / Vietnam War plan data, and train operation path data.

[0009] Optionally, the rail transit network topology data includes: metro network topology data, topology data of each metro line in the network, basic data of each metro line in the network, operating time data of each metro line in the network at different speed levels, station stop time data of each metro line in the network at different peak and off-peak hours, and additional time reduction data of each metro line in the network.

[0010] Optionally, the train data for each line includes: train type data for each line in the network, train formation data for each line in the network, passenger capacity data, train coupling / discoupling data, passenger train data, freight train data, cross-line train data, test train data, train collision data, and train coupling / discoupling data.

[0011] Optional, also includes: During the interactive drawing process, the following are dynamically displayed: the four-dimensional coordinates of the train line, the train running path and track occupancy status, the train running line parameter characteristics, the automatic update of parameters after modification / adjustment of the train running line, the train running line adjustment process and step size, the train number, the track diagram on the train timetable drawing interface, the zoom / pan display on the train timetable drawing interface, and the drawing position positioning display.

[0012] Optional, also includes: The interactive drawing process optimizes train routes to reduce train traction energy consumption. This optimization is based on a four-dimensional drawing method, combining horizontal and vertical data of each line, train weight data, fine-grained passenger flow data, interval travel time data, and signal system train control strategy data. By precisely matching the various components of the route with passenger demand, refined mapping is achieved, reducing train traction energy consumption. Maintaining a constant train route slope is characterized by keeping the total travel time from origin to destination essentially unchanged; a constant slope means constant travel speed and a constant number of trains in operation. The train route optimization offers two interactive methods: the first is optimization through a front-end database, directly replacing data in the database with optimized data, generating a refined energy-saving operation map during the interactive drawing process; the second method involves extracting the four-dimensional data of the route to be optimized during interactive drawing, optimizing the data using an optimization model algorithm, and then feeding the optimized data back to the interactive interface.

[0013] This application also provides a construction device for a networked train operation diagram system based on four-dimensional drawing, including: The underlying data acquisition module is used to acquire data from the database, including rail transit network topology data, train running time data for each line, operating train data for each line, signal system operating direction and path data for each line, and affiliation data between different lines; wherein, the affiliation data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data; The transportation organization results acquisition module is used to perform auxiliary decision-making functions for transportation organization plans based on fine-grained passenger flow data, and obtain transportation organization results data. The data fusion module is used to map and fuse the rail transit network topology data, the operating train data of each line, the train running time data of each line, and the transportation organization result plan data based on a generalized underlying logic adapted to different signaling and train control systems to obtain a fused dataset. The train operation line drawing module is used to interactively draw and finely adjust the train operation line of the target train in the interactive interface based on the user's interactive needs and the fused dataset to obtain the initial train operation line group data. In the process of interactive drawing, the train operation management business rules consisting of train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround rail rotation are converted into quantitative constraints and applied to the drawing and adjustment of the initial train operation line group data. The data refinement module is used to refine the initial train operation group data based on the requirements of the train operation management business process, and obtain the networked train operation diagram / table and the signaling system ATS interface data, which can be applied to the train operation management of rail transit network operating companies.

[0014] This application also provides a construction device, including: Memory, used to store computer programs and data; A processor for implementing the construction method described above when executing the computer program.

[0015] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the construction method described above.

[0016] This application provides a method for compiling train timetables based on four-dimensional drawing, including: Data on the topology of the rail transit network, train operation time data for each line, operating train data for each line, signal system operation direction and path data for each line, and affiliation data between different lines are obtained from the database; wherein, the affiliation data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data; Based on fine-grained passenger flow data, a transportation organization plan is configured to obtain the transportation organization result plan data; The data of the rail transit network topology, the data of the operating trains on each line, the data of the train running time on each line, and the data of the transportation organization results scheme are mapped and fused based on a generalized underlying logic adapted to different signaling and train control systems to obtain a fused dataset. Based on the user's interaction needs and the fused dataset, the target train's operating line is interactively drawn and finely adjusted in the interactive interface to obtain the initial operating line data set. During the interactive drawing process, the rules of train operation scenarios such as train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround track rotation are converted into quantitative constraints and applied to the drawing and adjustment of the initial operating line data set. Based on the requirements of train operation management business processes, the initial operating line data group is refined to obtain networked train operation diagrams / tables and signaling system (ATS) interface data, which can be applied to train operation control by rail transit network operating companies.

[0017] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: 1. The technology of this invention is applied to the development of a professional and universal network train timetable compilation system tool, which is conducive to unifying the train timetable compilation standards of various cities, unifying the train operation management standards, reducing management costs, and realizing refined train operation organization.

[0018] 2. The networked operation diagram compilation system software supported by this invention has secondary development and expansion capabilities such as operation line optimization and energy saving, which can fully realize the social and economic benefits of the software.

[0019] 3. This invention supports the compilation of networked train timetables from a network perspective, which is conducive to conceiving the architecture from the perspective of networked train timetable compilation, to realizing resource utilization at the network level, to realizing good connection of passenger flow between lines, and to improving the level of operation and service.

[0020] 4. The system built upon the four-dimensional digital mapping technology of this invention can be applied to all scenarios encountered in the current operation of rail transit in China to generate train timetables, including interconnected operation scenarios, different route operation scenarios, main and branch line operation scenarios, train coupling / decoupling operation (flexible formation operation) operation scenarios, mixed passenger and freight operation scenarios, as well as various different track layout scenarios and operation route scenarios. It can implement the current cost reduction and efficiency improvement train operation management measures and strategies of rail transit operation companies.

[0021] 5. The mapping system constructed by this invention can realize the implementation of energy-saving strategies and measures for train operation management proposed by current operating companies from the management level, thereby achieving energy-saving operation of trains. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0023] Figure 1 A flowchart illustrating a method for constructing a networked train timetable system based on four-dimensional drawing, provided in an embodiment of this application; Figure 2A schematic diagram of a train timetable compilation device based on four-dimensional rendering provided in this application embodiment; Figure 3 This is a schematic diagram of a train timetable compilation device provided in an embodiment of this application. Detailed Implementation

[0024] The purpose of this application is to provide a method, device, equipment, and computer-readable storage medium for constructing a networked train timetable system based on four-dimensional drawing, so as to realize a refined, constrained, and interactive timetable compilation technology for networked scenarios.

[0025] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0026] The following embodiment illustrates a method for constructing a networked train operation diagram system based on four-dimensional drawing provided in this application.

[0027] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for constructing a networked train timetable system based on four-dimensional drawing, as provided in an embodiment of this application.

[0028] S101, retrieve the following data from the database: rail transit network topology data, train operation time data for each line, operating train data for each line, signal system operation direction and path data for each line, and affiliation data between different lines; among which, affiliation data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data. In this embodiment, step S101 is the basic data acquisition stage. The system acquires four types of basic data from the front-end database: rail transit network topology data, train operation time data for each line, operational train data for each line, and signal system operation direction and path data for each line, as well as hierarchical relationship data between different lines. Among them, the hierarchical relationship data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data. Specifically, the rail transit network topology data covers the overall topology information of the rail transit network and the topology information of each subway line in the network. It also includes basic data of each subway line in the network, such as station names, distances between stations, transfer stations, and up / down direction indicators. It also includes the section operation time data of each subway line in the network at different speed levels, the station dwell time data of each station during different peak and off-peak hours, and the station additional time reduction data.

[0029] The operational train data for each line includes model data, train formation data, passenger capacity parameters, coupling and decoupling operation parameters for each line in the network, as well as freight train data and cross-line train data required to adapt to passenger and freight transport scenarios. Train travel time data for each line refers to the travel time required for trains to pass through each section under different speed levels. This data directly determines the distribution characteristics of the operating lines on the time axis.

[0030] The signal system operation direction and path data for each line includes information on the train operation direction, train operation path, underlying logic data of the operation route assembly, and control logic data of the signal system for train operation; these data are the key data for the signal system to correctly execute the compiled train timetable.

[0031] S102, Based on fine-grained passenger flow data, execute the auxiliary decision-making function for transportation organization schemes to obtain transportation organization result scheme data; Step S102 is the transportation organization scheme configuration and decision support stage. In this step, the system first obtains annual, monthly, or weekly passenger flow data from the passenger flow database and analyzes the fine-grained passenger flow data with spatiotemporal characteristics. Fine-grained passenger flow data refers to passenger flow data subdivided into time periods and stations / sections according to spatial dimensions. Based on this fine-grained passenger flow data, the system performs refined transportation organization scheme configuration and generates transportation organization result scheme data. The transportation organization scheme data includes: train operation plan configuration data (to determine the number of trains in operation and their schedules for each time period); service interval data (to determine the departure time interval between adjacent trains); track infrastructure data (to describe the facility capacity constraints of the track); train operation plan data (to plan the number of trains required to meet passenger flow demand); train route configuration data (to determine the train's operating range and turnaround arrangements); train stop or bypass scheme data (to determine the stop or bypass arrangements for each train at each station); and train route data (to determine the specific routes used by trains when passing through each station). Through the above configuration process, the system can accurately match transportation supply capacity according to passenger flow demand, laying the foundation for quickly drawing train timetables for the corresponding time periods. In this step, it is also possible to calculate the service interval data that the rail transit line can provide based on the provided available train quantity data; it is also possible to adjust the travel speed by adjusting the train stopping scheme, and calculate the required number of trains to be in service based on the established service interval.

[0032] S103, the data of the rail transit network topology, the data of the operating trains on each line, the data of the train running time on each line, and the data of the transportation organization results plan are mapped and fused based on the generalized underlying logic adapted to different signal train control systems to obtain the fused dataset. Step S103 is the data fusion stage. In this step, the system maps and fuses the rail transit network topology data, train operation data, and train running time data obtained in step S101 with the transportation organization result scheme data generated in step S102. This fusion process is based on a universal underlying logic adapted to different signaling systems. That is, by establishing a unified data interface standard and conversion rules, train control data from different signaling system suppliers can be processed under a unified data framework. The fused dataset can simultaneously carry spatial topology information at the network level, time characteristic information of train operation, resource information of vehicle configuration, and transportation organization result scheme information, forming a complete data foundation to support subsequent interactive drawing. This universal underlying logic design enables the method of this invention to adapt to various complex rail transit operation scenarios such as interconnected train operation, mixed operation of trains with different formation lengths, flexible formation, virtual formation, and express and local train operation organization.

[0033] S104, based on the user's interaction needs and the fused dataset in the interactive interface, the target train's operating line is interactively drawn and finely adjusted to obtain the initial operating line group data; in the process of interactive drawing, the train operation management business rules consisting of train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround rail rotation are converted into quantitative constraints and applied to the drawing and adjustment of the initial operating line group data. Step S104 is the interactive drawing and fine-tuning stage, which is the core of the method of this invention, realizing the integration of the entire process of networked train timetable compilation with the management processes and business of operating enterprises. In this step, the system interactively draws and finely adjusts the running line of the target train based on the user's interactive needs and the fused dataset in the interactive interface, generating initial running line data cluster data. This invention adopts four-dimensional running line drawing technology, enabling users to directly and interactively operate and finely adjust the running line on the drawing interface. The so-called four dimensions are the key elements constituting the running line, including the train dimension, running direction dimension, running route dimension, and train running time dimension. Users can observe, adjust, and optimize the entire running line or a part of it in the above four dimensions.

[0034] During the interactive drawing of the train operation diagram, the system provides a dynamic display function of the four-dimensional coordinates of the train operation line, allowing users to monitor the parameter values ​​of the train operation line in each dimension in real time. It also provides a dynamic display function of the train operation path and track occupancy status, enabling users to intuitively understand the occupancy status of each track section at any given time. Furthermore, the system provides a dynamic display function of the train operation line parameter characteristics and a dynamic display function of automatically updating parameters after modifications or adjustments to the train operation line, ensuring that users receive immediate feedback when adjusting the operation line.

[0035] During the interactive timetable creation process, the system converts management rules related to train operation management, passenger flow organization management, vehicle rotation, transfer connections, and turnaround track rotation into quantifiable constraints. These constraints are then applied to the creation and adjustment of the train line data. Train operation management rules ensure that train turnaround times at turnaround stations and station tracking times meet operational time requirements. Passenger flow organization management rules ensure that the timetable matches the passenger flow organization needs of stations and platforms. Vehicle rotation rules ensure that train operation arrangements comply with vehicle maintenance cycle requirements. Transfer connection rules ensure that train arrival and departure times at transfer stations meet the needs of efficient transfer services and support filtered transfer requirements under networked operation conditions. By applying these constraints, the system ensures that the created timetable meets the user's design intent while complying with all the rules and requirements of rail transit operation management.

[0036] The method in this embodiment also supports optimizing train routes during interactive drawing to reduce train traction energy consumption. Route optimization is based on a four-dimensional drawing method, combining horizontal and vertical profile data of each line, train weight data, fine-grained passenger flow data, interval travel time data, and signal system train control strategies. While maintaining the train route slope, it optimizes the configuration of interval travel time and stop time values ​​based on passenger flow demand, achieving precise matching between the various components of the route and passenger flow demand, realizing refined mapping, and reducing train traction energy consumption. Maintaining a constant train route slope is characterized by keeping the total travel time from the starting point to the destination essentially unchanged; a constant slope means a constant travel speed and a constant number of trains in operation. The specific implementation of the above route optimization is as follows: during peak hours, trains use higher operating speeds to meet the large passenger flow demand, and correspondingly, longer stop times are used to meet passenger boarding and alighting needs; during off-peak hours, passenger flow at stations decreases, and stop times can be shortened accordingly. The system optimizes the running time and station dwell time of each section based on the horizontal and vertical profile characteristics of each line, train weight parameters, fine-grained passenger flow distribution characteristics, section running time levels, and signal system train control strategies, while keeping the overall running time and station dwell time constant during peak and off-peak periods. This optimizes the configuration of running lines that precisely match passenger demand with supply, thereby achieving the goal of reducing energy consumption. This embodiment provides two interactive methods for running line optimization: the first method optimizes through the front-end database, directly replacing the data in the front-end database with optimized data, and generating a refined energy-saving running diagram directly during the interactive drawing process; the second method extracts the four-dimensional data of the running line to be optimized during the interactive drawing process, optimizes the data through an optimization model algorithm, and feeds the optimized data back to the interactive interface.

[0037] S105 refines the initial train operation data based on the requirements of train operation management business processes, resulting in networked train operation diagrams / tables and ATS interface data, which can be applied to train operation control by rail transit network operating companies.

[0038] Step S105 is the result data generation stage. In this step, the system refines the initial train operation group data generated in step S104 based on the requirements of the train operation management business process, and generates train timetable result data.

[0039] This train timetable data is generated from networked train timetable data and can directly serve the production organization of rail transit operators and the orderly operation of signaling systems. Its content covers various types. The train timetable is the core result that graphically displays the timetable arrangements for each train. The main technical indicators table summarizes the key technical indicators of the train timetable, including operating time, departure interval, and operating speed. The first and last train table lists the arrival and departure times of the first and last trains at each station. The transport capacity configuration table describes the transport capacity configuration for each time period. The detailed train entry and exit section table lists the detailed arrangements for each train entering and leaving the depot. The depot arrival and departure plan provides the basis for depot scheduling operations. The track inspection car information table and the spare car information table record the track inspection operation arrangements and spare car configuration, respectively. The operating mileage statistics table summarizes the operating mileage data for each train. The train timetable and station timetable display the timetable information from the train's perspective and the station's perspective, respectively. The complete turnaround diagram shows the daily turnaround utilization of trains. The ATS interface data of the signaling system is interface data generated according to the data format requirements of the signaling system and can be directly sent to the signaling system for execution. All of the above-mentioned data are stored in the results database, which can be accessed by various production units of the operating company, directly serving the operation and management of rail transit.

[0040] In summary, this embodiment acquires multi-source data, including network topology, train running times, operating trains, and signaling systems, from a database. Based on fine-grained passenger flow data, it configures transportation organization schemes, achieving precise matching between passenger demand and transportation supply. The use of generalized underlying logic for data fusion enables this method to adapt to different signaling systems and train operation scenarios, exhibiting good versatility and scalability. Through interactive drawing and fine-tuning, operational rules such as train management, passenger flow organization, vehicle rotation, transfer connections, and return-to-rail rotation are transformed into quantitative constraints and applied to the drawing process. This ensures that the compiled train timetable meets both the user's refined timetable requirements and complies with operational management rules. The final generated train timetable data encompasses various types, including timetable charts, technical indicators, and signaling system interface data. It can directly serve various production stages of operating companies and be imported into the signaling system to direct orderly train operation, effectively improving timetable compilation efficiency, operational management level, and reducing train operation energy consumption.

[0041] The following specific embodiment further illustrates the train timetable compilation method based on four-dimensional drawing provided in this application.

[0042] In this embodiment, the method may include: Step S201: Basic data modules and underlying logic modules for train operation, line and network topology, station operation routes, etc.; configuration of train operation plans, transportation organization schemes, and train operation plans based on passenger flow demand; and mapping and fusion of train operation data, line and network topology data, and station / section route data through the development of train operation control underlying logic adapted to multiple scenarios, so as to jointly serve the drawing of train operation lines. Step S202 involves a user interaction module and a refined drawing function module based on four-dimensional drawing technology for operation lines. At the data level, the interactive function is linked to the data in S201 to realize business logic, and the association rules comply with the requirements of rail transit operation management.

[0043] Step S203: Refine the train operation chart / operation indicators / train operation chart / ATS data interface data.

[0044] Step S201 includes four types of data: station information, station spacing, direction of travel, and train operation time data for different speed levels for each line in the metro network; train type, train formation, and passenger capacity data for each line; train operation path and time data for line stations and sections, and underlying logic data for route assembly; data on the affiliation between different lines (such as independent line relationships, parent-child line relationships, and sibling line relationships); and data on the number of trains that can be put into operation, the distribution of vehicle depots, and the configuration of train operation plans.

[0045] These data cover four main categories: data at the rail transit network level, data on operating trains on each line, data on train running times on each line, and data on transportation organization plans that can be provided based on line facilities and train configurations. These types of data are stored in the front-end basic database.

[0046] In step S202, a platform-based and refined train timetable compilation module is developed based on the four-dimensional operation line drawing method of networked multi-scenario train timetables. This functional module mainly consists of five parts: The system's user interface module for train timetable creation must meet the requirements of basic data maintenance scenarios, the business requirements for creating train timetables based on the production organization of operation management enterprises, the requirements for transportation organization plan creation and key service levels and train resource allocation; the requirements for timetable creation scenarios involving switching between interconnected lines, and the requirements for mapping transfer lines in networked timetable creation; the needs for different user authorizations and differentiated operations; the requirements for ease of modification during networked timetable creation; and the requirements for dynamic display of train running paths and refined timetable creation interaction.

[0047] The drawing interaction / dynamic display function module provides dynamic display functions for train operation line adjustments, dynamic display functions for four-dimensional coordinates of train operation lines, window scaling and quick horizontal line functions to meet the requirements of map compilation, quick four-dimensional drawing positioning functions to meet the requirements of map compilation, dynamic display functions for train operation path occupancy to meet the requirements of map compilation, convenient adjustment functions for intervals of multiple operation lines, station track layout expansion / contraction functions to meet the requirements of map compilation, and dynamic display functions for transport capacity configuration indicators that match passenger flow demand.

[0048] Train operation management / train operation rule constraint module. This module quantifies train operation management and operational management rules, integrates them into the train timetable system, and ensures that the timetable results align with operational management business rules. The constraint module includes constraints on train turnaround, trains arriving at the same station at different times (trains in the same direction arriving at different stations), train rotation constraints, and transfer connection constraints between different transfer stations.

[0049] Enhanced modification capabilities during train timetable creation. To address the significant workload involved in modifying train timetables, a convenient and efficient timetable modification module has been developed, greatly improving timetable creation efficiency. The modification functions include selection, copying, pasting, deleting, grouping, moving, trimming, extending, periodic arrangement, arraying, overtaking, format painter, searching, arrival / departure adjustment, travel speed adjustment, route adjustment, track locking, turnaround extension, end-of-train extension, and headway adjustment, among other timetable creation and modification functions.

[0050] Conditions for the integration of energy-saving optimization modules for train operation lines are reserved. Train operation lines in the train timetable are data-packaged using a four-dimensional plotting method, and conditions for the integration of energy-saving modules are prepared. Two integration conditions are reserved for energy-saving optimization of operation lines: First, the optimization results of operation lines are directly imported into the front-end database, replacing the data in the front-end database with optimized data, enabling the direct generation of refined energy-saving operation diagrams; second, during the interactive timetable compilation process, the four-dimensional data of the operation lines to be optimized are extracted, the data is optimized through an optimization model algorithm, and the optimized data is fed back to the interactive interface to replace existing operation line data.

[0051] During the drawing phase, data is stored in the drawing database, which primarily serves as the data storage for the drawing process. Once the networked operation diagram is completed and confirmed for "release and execution," it is permanently saved to the results database. All subsequent results data, including diagrams, tables, and ATS interface data for the signaling system, are based on these results data.

[0052] Finally, based on the drawing results of S202 and combined with the requirements of train operation management business processes, multiple types of data were generated, namely train operation diagrams / tables, operation indicator diagrams / tables, train operation diagrams / tables, and signaling system ATS interface data. The completed train operation diagram results were directly stored in the results database, and the multiple types of diagrams / tables generated in conjunction with train operation management needs were also saved to serve subsequent rail transit operation management and production.

[0053] In summary, compared with the prior art, the above technical solution conceived through this embodiment can achieve the following beneficial effects: 1. The technology of this invention is applied to the development of a professional and universal network train timetable compilation system tool, which is conducive to unifying the train timetable compilation standards of various cities, unifying the train operation management standards, reducing management costs, and realizing refined train operation organization.

[0054] 2. The networked operation diagram compilation system software supported by this invention has secondary development and expansion capabilities such as operation line optimization and energy saving, which can fully realize the social and economic benefits of the software.

[0055] 3. This invention supports the compilation of networked train timetables from a network perspective, which is conducive to conceiving the architecture from the perspective of networked train timetable compilation, to realizing resource utilization at the network level, to realizing good connection of passenger flow between lines, and to improving the level of operation and service.

[0056] 4. The system built upon the four-dimensional digital mapping technology of this invention can be applied to all scenarios encountered in the current operation of rail transit in China to generate train timetables, including interconnected operation scenarios, different route operation scenarios, main and branch line operation scenarios, train coupling / decoupling operation (flexible formation operation) operation scenarios, mixed passenger and freight operation scenarios, as well as various different track layout scenarios and operation route scenarios. It can implement the current cost reduction and efficiency improvement train operation management measures and strategies of rail transit operation companies.

[0057] 5. The mapping system constructed by this invention can realize the implementation of energy-saving strategies and measures for train operation management proposed by current operating companies from the management level, thereby achieving energy-saving operation of trains.

[0058] The following describes a train timetable compilation device based on four-dimensional drawing provided in the embodiments of this application. The train timetable compilation device based on four-dimensional drawing described below and the train timetable compilation method based on four-dimensional drawing described above can be referred to and correspond to each other.

[0059] Please refer to Figure 2 , Figure 2 This is a schematic diagram of a train timetable compilation device based on four-dimensional drawing, provided in an embodiment of this application.

[0060] In this embodiment, the device may include: The underlying data acquisition module 100 is used to acquire data on the topology of the rail transit network, train running time data for each line, operating train data for each line, signal system operating direction and path data for each line, and affiliation data between different lines from the database; among which, affiliation data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data. The transportation organization results acquisition module 200 is used to perform auxiliary decision-making functions for transportation organization schemes based on fine-grained passenger flow data, and obtain transportation organization results scheme data. The data fusion module 300 is used to map and fuse rail transit network topology data, train operation data, train running time data, and transportation organization results data based on a generalized underlying logic adapted to different signaling and train control systems to obtain a fused dataset. The train operation line drawing module 400 is used to interactively draw and finely adjust the train operation line of the target train in the interactive interface based on the user's interactive needs and the fused dataset, so as to obtain the initial train operation line group data. In the process of interactive drawing, the train operation management business rules consisting of train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround rail rotation are converted into quantitative constraints and applied to the drawing and adjustment of the initial train operation line group data. The data refinement module 500 is used to refine the initial operating line group data based on the needs of the train operation management business process, and obtain the networked train operation diagram / table and the signal system ATS interface data, which can be applied to the train operation control of rail transit network operating companies.

[0061] This application also provides a train timetable compilation device; please refer to [reference needed]. Figure 3 , Figure 3 This is a schematic diagram of a train timetable compilation device provided in an embodiment of this application. The train timetable compilation device may include: Memory, used to store computer programs; A processor, used to execute computer programs, can implement the steps of any of the four-dimensional drawing-based train timetable compilation methods described above.

[0062] like Figure 3 The diagram shows the structural composition of a train timetable generation device. The device may include a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, memory 11, and communication interface 12 all communicate with each other via the communication bus 13.

[0063] In this embodiment, the processor 10 may be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic devices.

[0064] The processor 10 can call the program stored in the memory 11. Specifically, the processor 10 can execute the operations in the embodiment of the abnormal IP identification method.

[0065] The memory 11 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment, the memory 11 stores at least a program for implementing the following functions: Data on the topology of the rail transit network, train operation times for each line, operational train data for each line, signal system operation direction and path data for each line, and hierarchical relationship data between different lines are obtained from the database. Among them, the hierarchical relationship data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data. Based on fine-grained passenger flow data, the system performs auxiliary decision-making functions for transportation organization schemes, and obtains transportation organization outcome scheme data. The data of rail transit network topology, train operation data of each line, train running time data of each line, and transportation organization results plan data are mapped and fused based on a generalized underlying logic adapted to different signaling and train control systems to obtain a fused dataset. Based on user interaction needs and the fused dataset, the target train's operating line is interactively drawn and finely adjusted in the interactive interface to obtain initial operating line group data. During the interactive drawing process, the train operation management business rules, which consist of train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround rail rotation, are converted into quantitative constraints and applied to the drawing and adjustment of the initial operating line group data. Based on the requirements of train operation management business processes, the initial operating line group data is refined to obtain networked train operation diagrams / tables and signaling system (ATS) interface data, which can be applied to the train operation control of rail transit network operating companies.

[0066] In one possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; and the data storage area may store data created during use.

[0067] In addition, memory 11 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0068] Communication interface 12 can be an interface for the communication module, used to connect with other devices or systems.

[0069] Of course, it should be noted that, Figure 3 The structure shown does not constitute a limitation on the train timetable compilation device in the embodiments of this application. In practical applications, the train timetable compilation device may include devices that are more advanced than those described above. Figure 3 More or fewer components as shown, or combinations of certain components.

[0070] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps of any of the above-described methods for compiling train timetables based on four-dimensional drawing.

[0071] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0072] For a description of the computer-readable storage medium provided in this application, please refer to the above method embodiments; further details will not be repeated here.

[0073] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0074] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0075] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0076] The foregoing has provided a detailed description of the construction method, construction apparatus, construction device, and computer-readable storage medium for a four-dimensional networked train operation diagram system provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and core ideas of this application. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this application.

Claims

1. A construction method of a four-dimensional drawing networked train working diagram system, characterized by, include: Data on the topology of the rail transit network, train operation time data for each line, operating train data for each line, signal system operation direction and path data for each line, and affiliation data between different lines are obtained from the database; wherein, the affiliation data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data; Based on fine-grained passenger flow data, the system performs auxiliary decision-making functions for transportation organization schemes, and obtains transportation organization outcome scheme data. The data of the rail transit network topology, the data of the operating trains on each line, the data of the train running time on each line, and the data of the transportation organization results scheme are mapped and fused based on a generalized underlying logic adapted to different signaling and train control systems to obtain a fused dataset. Based on the user's interaction needs and the fused dataset, the target train's operating line is interactively drawn and finely adjusted in the interactive interface to obtain initial operating line group data. During the interactive drawing process, the train operation management business rules, which consist of train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround rail rotation, are converted into quantitative constraints and applied to the drawing and adjustment of the initial operating line group data. Based on the requirements of train operation management business processes, the initial train group data is refined to obtain networked train operation diagrams / tables and ATS interface data, which can be applied to train operation control of rail transit network operating companies.

2. The construction method of claim 1, wherein, Based on fine-grained passenger flow data, the system executes a transportation organization plan auxiliary decision-making function to obtain transportation organization outcome plan data, including: Fine-grained passenger flow data with spatiotemporal characteristics is obtained by acquiring and parsing passenger flow database. Based on the fine-grained passenger flow data with the aforementioned spatiotemporal characteristics, the transportation organization outcome plan data is configured in a refined manner; wherein, the transportation organization outcome plan data includes: train operation plan configuration data, service interval data, train stop time data, train utilization plan data, train operation route plan configuration data, train stop / Vietnam War plan data, and train operation path data.

3. The construction method of claim 1, wherein, The rail transit network topology data includes: metro network topology data, topology data of each metro line in the network, basic data of each metro line in the network, operating time data of each metro line at different speed levels, and additional time reduction data for each metro line station in the network.

4. The construction method according to claim 1, characterized in that, The train operation data for each line includes: train type data for each line in the network, train formation data for each line in the network, passenger capacity data, double-unit / splitting data, passenger train data, freight train data, cross-line train data, test train data, and train data that has been tethered.

5. The construction method according to claim 1, characterized in that, Also includes: During the interactive drawing process, the four-dimensional coordinates of the train line are dynamically displayed, the train running path and track occupancy status are dynamically displayed, the train running line parameter characteristics are dynamically displayed, and the parameters are automatically updated dynamically after the train running line is modified / adjusted.

6. The construction method according to claim 1, characterized in that, Also includes: The interactive drawing process optimizes train routes to reduce train traction energy consumption. This optimization is based on a four-dimensional drawing method, combining horizontal and vertical profile data of each line, train weight data, fine-grained passenger flow data, interval travel time data, and signal system train control strategies. While maintaining the train route slope, it adjusts the precise matching of each component of the route with passenger flow demand, achieving refined map creation and reducing train traction energy consumption. Maintaining a constant train route slope means that the total travel time from the starting point to the destination remains essentially unchanged; a constant slope means a constant travel speed and a constant number of trains in operation. The train route optimization offers two interactive methods: the first is optimization through a front-end database, directly replacing data in the front-end database with optimized data, generating a refined energy-saving operation map directly during the interactive drawing process; the second method involves extracting the four-dimensional data of the route to be optimized during the interactive drawing process, optimizing the data through an optimization model algorithm, and then feeding the optimized data back to the interactive interface.

7. A device for constructing a networked train timetable system based on four-dimensional mapping, characterized in that, include: The underlying data acquisition module is used to acquire data from the database, including rail transit network topology data, train running time data for each line, operating train data for each line, signal system operating direction and path data for each line, and affiliation data between different lines; wherein, the affiliation data includes: independent line relationship data, parent-child line relationship data, and sibling line relationship data; The transportation organization results acquisition module is used to perform auxiliary decision-making functions for transportation organization plans based on fine-grained passenger flow data, and obtain transportation organization results data. The data fusion module is used to map and fuse the rail transit network topology data, the operating train data of each line, the train running time data of each line, and the transportation organization result plan data based on a generalized underlying logic adapted to different signaling and train control systems to obtain a fused dataset. The train operation line drawing module is used to interactively draw and finely adjust the train operation line of the target train in the interactive interface based on the user's interactive needs and the fused dataset to obtain the initial train operation line group data. In the process of interactive drawing, the train operation management business rules consisting of train operation management, passenger flow organization management, vehicle rotation, transfer connection, and turnaround rail rotation are converted into quantitative constraints and applied to the drawing and adjustment of the initial train operation line group data. The data refinement module is used to refine the initial train operation group data based on the requirements of the train operation management business process, and obtain the networked train operation diagram / table and the signaling system ATS interface data, which can be applied to the train operation management of rail transit network operating companies.

8. A construction device, characterized in that, include: Memory, used to store computer programs and data; A processor for implementing the steps of the construction method as described in any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the construction method as described in any one of claims 1 to 6.

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