Urban rail transit station group division method and device, medium and equipment
By classifying urban rail transit stations, calculating weights and screening the central station, station groups are formed, and the problem of human resources waste in traditional station management is solved, and efficient utilization of resources and saving of operating costs is achieved.
Patent Information
- Application Number
- CN202411548133.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-04-01
AI Technical Summary
There is a problem of human resources waste in traditional station management, and each station needs to be independently fire control and on-duty, resulting in large workloads and high costs.
By classifying the stations based on the operating parameters of each station in the urban rail transit route, the weight values of each station are calculated, the central station is filtered out, and the central station is divided into stations to form a station group.
It is realized that people are on duty at each central station, and the sub-control station is unattended. The central station can control other sub-control stations in the group, reducing manpower and material resources and saving operating costs.
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Figure CN119740770A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of station division, and in particular to a method, device, medium and equipment for dividing urban rail transit station groups. Background Art
[0002] Traditional stations have a fire control room for each station, and each station needs to have someone on duty. The station control center needs to control each station separately, which is a large workload and wastes manpower and material resources. Summary of the invention
[0003] In view of this, the present invention provides a method, device, medium and equipment for dividing urban rail transit station groups, the main purpose of which is to solve the problem of waste of human resources in the current traditional station management.
[0004] In order to solve the above problems, the present application provides a method for dividing urban rail transit station groups, comprising:
[0005] Classifying each of the stations based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each of the stations;
[0006] Performing calculation based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations;
[0007] Screening each of the stations based on each of the first weight values, the number of routes passing through each of the stations, and the number of predetermined group divisions to obtain each central station;
[0008] Sub-control stations are matched for each of the central stations to obtain station groups corresponding to each of the central stations.
[0009] Optionally, the classifying of each station based on the operation parameters of each station in the target city rail transit line to obtain a station category corresponding to each station specifically includes:
[0010] Classifying each of the stations based on the workload parameters of the train operation at each of the stations to obtain a number of starting stations and a number of return stations;
[0011] Classifying each of the stations based on the station passenger flow parameters of each of the stations to obtain a number of target passenger flow stations and a number of transfer stations;
[0012] Classifying each of the stations based on the signal and turnout workload parameters of each of the stations to obtain a number of signal-concentrated stations and a number of turnout stations;
[0013] The operation parameters include the driving operation workload parameters, station passenger flow parameters, and signal and turnout workload parameters;
[0014] The station categories include starting station category, turnaround station category, target passenger flow station category, transfer station category, signal concentration station category and switch station category.
[0015] Optionally, the calculation based on the preset weight value corresponding to at least one subcategory in each of the station categories to obtain the first weight value corresponding to each of the stations specifically includes:
[0016] determining at least one subcategory corresponding to each of the stations;
[0017] An addition operation is performed on the predetermined weight value corresponding to at least one of the subcategories corresponding to the same station to obtain a first weight value corresponding to the same station, so as to obtain a first weight value corresponding to each of the stations.
[0018] Optionally, the screening of the stations based on the first weight values, the number of lines passing through the stations, and the number of predetermined group divisions to obtain the central stations specifically includes:
[0019] Screening each of the stations based on the number of lines at each of the stations, and determining a station whose number of lines exceeds a preset number threshold among the stations as a first central station;
[0020] Determine the hub station among the stations as the second central station;
[0021] Based on the first number of the first central stations, the second number of the second central stations, the first weight values and the predetermined number of group divisions, the stations are screened to obtain the central stations.
[0022] Optionally, the screening of the stations based on the first number of the first central stations, the second number of the second central stations, the first weight values, and the predetermined number of group divisions to obtain the central stations specifically includes:
[0023] Calculate the sum of the first number and the second number to obtain a first value;
[0024] Performing a subtraction operation on the predetermined group division number and the first value to obtain a second value;
[0025] Filtering the first central station and the second central station in each of the stations to obtain a first station set;
[0026] The first station set is screened based on each of the first weight values to obtain a third central station, so as to obtain each of the central stations;
[0027] Each of the central stations includes a first central station, a second central station and a third central station.
[0028] Optionally, performing sub-control station matching for each of the central stations to obtain a station group corresponding to each of the central stations specifically includes:
[0029] Calculating the distances between each sub-control station and each central station to obtain respective distance values;
[0030] Based on each of the distance values, the control capacity of each of the central stations and the preset control range of each of the central stations, a sub-control station is matched for each of the central stations to obtain a station group corresponding to each of the central stations.
[0031] Optionally, matching a sub-control station to each central station based on each of the distance values, the control capacity of each central station, and a preset control range of each central station to obtain a station group corresponding to each central station specifically includes:
[0032] Based on each of the distance values, a preset matching rule is used to assign each of the sub-control stations to the central station closest to the central station in descending order of priority of each of the sub-control stations;
[0033] When the control capacity of the nearest central station is saturated, the sub-control station is allocated to the next nearest central station.
[0034] In order to solve the above problems, the present application provides a device for dividing urban rail transit station groups, comprising:
[0035] A classification module, used to classify each station in the target city rail transit line based on the operation parameters of each station, and obtain the station category corresponding to each station;
[0036] A calculation module, configured to perform calculation processing based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations;
[0037] A screening module, configured to screen the stations based on the first weight values, the number of routes passing through the stations, and the number of predetermined group divisions to obtain the central stations;
[0038] The matching module is used to match the sub-control stations for each of the central stations respectively to obtain the station groups corresponding to each of the central stations.
[0039] In order to solve the above-mentioned problem, the present application provides a storage medium, characterized in that the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for dividing urban rail transit stations into groups are implemented.
[0040] In order to solve the above problems, the present application provides an electronic device, characterized in that it includes at least a memory and a processor, and a computer program is stored in the memory. When the processor executes the computer program on the memory, the steps of the above-mentioned urban rail transit station grouping method are implemented.
[0041] Beneficial effects of the present application: The present application classifies each of the stations based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each of the stations; performs calculations based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations; screens each of the stations based on each of the first weight values, the number of lines passing through each of the stations, and the number of predetermined group divisions to obtain each central station; matches sub-control stations for each of the central stations to obtain station groups corresponding to each of the central stations. In actual use, the station group division method of the present application is manned only at each central station, while each sub-control station is an unmanned station. The central station can control other sub-control stations in the group, reducing manpower and material resources and saving operating costs.
[0042] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:
[0044] Figure 1 A schematic diagram of a process for dividing urban rail transit station groups provided in an embodiment of the present application is shown;
[0045] Figure 2 A schematic diagram of a process for dividing urban rail transit station groups provided by another embodiment of the present application is shown;
[0046] Figure 3A structural block diagram of a device for dividing urban rail transit stations into groups provided in another embodiment of the present application is shown. DETAILED DESCRIPTION
[0047] Various aspects and features of the present application are described herein with reference to the accompanying drawings.
[0048] It should be understood that various modifications may be made to the embodiments of the present application. Therefore, the above description should not be considered as limiting, but only as an example of an embodiment. Other modifications within the scope and spirit of the present application will occur to those skilled in the art.
[0049] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.
[0050] These and other characteristics of the present application will become apparent from the following description of a preferred form of embodiment given as a non-limiting example with reference to the accompanying drawings.
[0051] It should also be understood that although the present application has been described with reference to some specific examples, those skilled in the art will be able to readily implement many other equivalent forms of the present application.
[0052] The above and other aspects, features and advantages of the present application will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.
[0053] Specific embodiments of the present application are described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments applied for are merely examples of the present application, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that obscure the present application. Therefore, the specific structural and functional details applied for herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present application in a variety of ways with substantially any suitable detailed structure.
[0054] This specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," all of which may refer to one or more of the same or different embodiments according to the present application.
[0055] The present application embodiment provides a method for dividing urban rail transit station groups, such as Figure 1 As shown, including:
[0056] Step S101: classifying each station in the target city rail transit line based on the operation parameters of each station to obtain a station category corresponding to each station;
[0057] In the specific implementation process of this step, each of the stations is classified based on the train operation workload parameters of each station, so as to obtain a number of starting stations and a number of turnaround stations; each of the stations is classified based on the station passenger flow parameters of each station, so as to obtain a number of target passenger flow stations and a number of transfer stations; each of the stations is classified based on the signal and switch workload parameters of each station, so as to obtain a number of signal-concentrated stations and a number of stations with turnouts; wherein the operation parameters include train operation workload parameters, station passenger flow parameters and signal and switch workload parameters; the station categories include starting station category, turnaround station category, target passenger flow station category, transfer station category, signal-concentrated station category and station category with turnouts.
[0058] Step S102: performing calculation processing based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations;
[0059] During the specific implementation of this step, at least one subcategory corresponding to each of the stations is determined; specifically, a station may correspond to one subcategory or multiple subcategories, for example: station A is only the starting station, and station A has only one subcategory; station B is only a turnaround station, and station B has only one subcategory; station C is a turnaround station and a transfer station, and station C has two subcategories; station D is a starting station, a transfer station, has turnout operations, and is also a signal concentration station, and station D has four subcategories; an addition operation is performed on the predetermined weight values corresponding to at least one of the subcategories corresponding to the same station to obtain a first weight value corresponding to the same station, so as to obtain a first weight value corresponding to each of the stations.
[0060] Step S103: Screening each of the stations based on each of the first weight values, the number of routes passing through each of the stations, and the number of predetermined group divisions to obtain each central station;
[0061] In the specific implementation process of this step, each of the stations is screened based on the number of lines of each of the stations, and the station with the number of lines exceeding the preset number threshold is determined as the first central station; the hub station among the stations is determined as the second central station; each of the stations is screened based on the first number of the first central stations, the second number of the second central stations, the first weight values and the predetermined number of group divisions to obtain each central station. The preset number threshold can be 3, and the station with more than 3 lines is separately regarded as a central station, that is, the first central station; the hub station is separately divided into a central station, that is, the second central station; each of the stations is screened based on the first number of the first central stations, the second number of the second central stations, the first weight values and the predetermined number of group divisions to obtain each central station.
[0062] Step S104: performing sub-control station matching for each of the central stations respectively to obtain a station group corresponding to each of the central stations.
[0063] During the specific implementation of this step, the distances between each sub-control station and each central station are calculated respectively to obtain each distance value; based on each distance value, the control capacity of each central station and the preset control range of each central station, a sub-control station is matched to each central station to obtain a station group corresponding to each central station.
[0064] The present application classifies each station based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each station; performs calculation based on a preset weight value corresponding to at least one subcategory in each station category to obtain a first weight value corresponding to each station; screens each station based on each first weight value, the number of lines passing through each station, and the number of predetermined group divisions to obtain each central station; matches sub-control stations for each central station to obtain station groups corresponding to each central station. In actual application, the station group division method of the present application is only manned at each central station, while each sub-control station is an unmanned station. The central station can control other sub-control stations in the group, reducing manpower and material resources and saving operating costs.
[0065] Another embodiment of the present application provides another method for dividing urban rail transit station groups, such as Figure 2 As shown, including:
[0066] Step S201: classifying each station in the target city rail transit line based on the operation parameters of each station to obtain a station category corresponding to each station;
[0067] During the specific implementation of this step, each of the stations is classified based on the workload parameters of the train operation at each of the stations, and a number of starting stations and a number of return stations are obtained; each of the stations is classified based on the passenger flow parameters of the stations, and a number of target passenger flow stations and a number of transfer stations are obtained; the target passenger flow station may be a high-flow station with a passenger flow greater than or equal to a preset passenger flow threshold, and the preset passenger flow threshold may be 20,000 passengers / h, and the preset passenger flow threshold may be set according to actual needs. For example: taking the long-term peak hour passenger and alighting volume of a single-line station as the classification indicator, the stations are divided into three categories: small stations (0-10,000 passengers / h), medium-sized stations (10,000-20,000 passengers / h) and large stations (more than 20,000 passengers / h). Then the target passenger flow station may be a large station, i.e., a station with more than 20,000 passengers / h. Based on the signal and switch workload parameters of each station, each station is classified to obtain a number of signal-concentrated stations and a number of stations with switches; wherein the operation parameters include driving operation workload parameters, station passenger flow parameters and signal and switch workload parameters; the station categories include starting station category, return station category, target passenger flow station category, transfer station category, signal-concentrated station category and station category with switches.
[0068] Step S202: Determine at least one subcategory corresponding to each of the stations;
[0069] During the specific implementation of this step, a station may correspond to one subcategory or multiple subcategories. For example, station A is only the starting station, so station A has only one subcategory; station B is only a turnaround station, so station B has only one subcategory; station C is both a turnaround station and a transfer station, so station C has two subcategories; station D is a starting station, a transfer station, has turnout operations, and is also a signal concentration station, so station D has four subcategories.
[0070] Step S203: performing an addition operation on the predetermined weight value corresponding to at least one of the subcategories corresponding to the same station to obtain a first weight value corresponding to the same station, so as to obtain a first weight value corresponding to each of the stations;
[0071] In the specific implementation of this step, the present application assigns different predetermined weight values to each station category according to the importance of the station category, for example: the weights of the starting station category and the return station category of the station subcategory with large driving operation workload in the station driving operation workload parameter are set to 0.5; the weights of the target passenger flow station and transfer station category whose station passenger flow is greater than the first preset threshold in the station passenger flow parameter are set to 0.3; the weights of the signal concentration station and the station with turnout whose signal and turnout operation workload exceeds the second preset threshold in the signal and turnout workload parameter are set to 0.2, and the weights of the remaining stations are set to 0. The first preset threshold and the second preset threshold can be set according to actual needs. For example: Station A is only the starting station, Station A has only one subcategory, and the first weight value of Station A is 0.5; Station B is only a turnaround station, Station B has only one subcategory, and the first weight value of Station B is 0.5; Station C is a turnaround station and a transfer station, Station C has two subcategories, and the first weight value of Station C is 0.5+0.3=0.8; Station D is a starting station, a transfer station, has switch operations, and is also a signal concentration station. Station D has four subcategories, and the first weight value of Station D is 0.5+0.3+0.2+0.2=1.2; In the specific implementation process, each predetermined weight value can be set according to actual needs.
[0072] Step S204: screening each of the stations based on the number of lines at each of the stations, and determining a station whose number of lines exceeds a preset number threshold among the stations as a first central station;
[0073] In the specific implementation process of this step, the number of lines corresponding to each of the stations is determined; the stations whose number of lines exceeds the preset number threshold are determined as the first central station; the preset number threshold can be 3, and the preset number threshold can be set according to actual needs. The stations that exceed the preset number threshold among the stations are determined as the first central station, and the first central station is divided into a group separately.
[0074] Step S205: determining a hub station among the stations as a second central station;
[0075] During the specific implementation of this step, the hub station among the stations is determined as the second central station, and the second central station is separately divided into a group.
[0076] Step S206: Screening the stations based on the first number of the first central stations, the second number of the second central stations, the first weight values, and the predetermined number of group divisions to obtain central stations;
[0077] In the specific implementation of this step, the sum of the first number and the second number is calculated to obtain a first value; the first value is subtracted from the predetermined group division number to obtain a second value; the first central station and the second central station in each of the stations are filtered to obtain a first station set; the first station set is screened based on each of the first weight values to obtain a third central station, so as to obtain each of the central stations; specifically, each of the stations is sorted in descending order based on the first weight value to obtain a first station sequence; the station with the second value number that ranks first in the first station sequence is screened out and determined as the third central station; each of the central stations includes a first central station, a second central station and a third central station.
[0078] Step S207: respectively calculating the distance between each sub-control station and each central station to obtain each distance value;
[0079] In the specific implementation process of this step, the distance from each sub-control station to all central stations is calculated to obtain the distance value from the same sub-control station to each central station.
[0080] Step S208: Matching a sub-control station to each central station based on each of the distance values, the control capacity of each central station and the preset control range of each central station, to obtain a station group corresponding to each central station.
[0081] In the specific implementation process of this step, based on each of the distance values, the preset matching rules are adopted to assign each of the sub-control stations to the nearest central station in the order of priority from high to low; specifically, the priority can be set for all sub-control stations for each central station respectively, and then each sub-control station is assigned to the nearest central station according to the priority and the nearest principle. When the control capacity of the nearest central station is saturated, the sub-control station is assigned to the next nearest central station. Sub-control stations are matched for each of the central stations according to the station capacity of the central station and the control range of the station to obtain a station group corresponding to each of the central stations. The station capacity is the threshold value of the number of sub-control stations corresponding to each central station; the control range is the distance value threshold between the central station and the control station; the threshold value of the number of sub-control stations and the distance value threshold can be set according to actual needs.
[0082] The present application classifies each station based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each station; determines at least one subcategory corresponding to each station; performs addition operation on the predetermined weight value corresponding to at least one subcategory corresponding to the same station to obtain a first weight value corresponding to the same station, so as to obtain a first weight value corresponding to each station; screens each station based on the number of lines of each station, and determines the station whose number of lines exceeds a preset number threshold as the first central station; determines the hub station in each station as the second central station; screens each station based on the first number of the first central stations, the second number of the second central stations, each of the first weight values and the predetermined number of group divisions to obtain each central station: calculates the distance between each sub-control station and each central station respectively to obtain each distance value; matches each central station with a sub-control station based on each distance value, the control capacity of each central station and the preset control range of each central station to obtain a station group corresponding to each central station. In actual application of the station grouping method of the present application, only the central stations are manned, while the sub-control stations are unmanned stations. The central station can control other sub-control stations in the group, reducing manpower and material resources and saving operating costs.
[0083] Another embodiment of the present application provides a device for dividing urban rail transit station groups, such as Figure 3 As shown, including:
[0084] A classification module 1 is used to classify each station in the target city rail transit line based on the operation parameters of each station, and obtain a station category corresponding to each station;
[0085] A calculation module 2, configured to perform calculation processing based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations;
[0086] A screening module 3 is used to screen the stations based on the first weight values, the number of lines passing through the stations and the number of predetermined group divisions to obtain the central stations;
[0087] The matching module 4 is used to match the sub-control stations for each of the central stations to obtain the station groups corresponding to each of the central stations.
[0088] In the specific implementation process, the classification module 1 is specifically used to: classify each of the stations based on the driving operation workload parameters of each of the stations to obtain several starting stations and several turnaround stations; classify each of the stations based on the station passenger flow parameters of each of the stations to obtain several target passenger flow stations and several transfer stations; classify each of the stations based on the signal and switch workload parameters of each of the stations to obtain several signal-concentrated stations and several stations with turnouts; wherein the operating parameters include driving operation workload parameters, station passenger flow parameters, and signal and turnout workload parameters; the station categories include starting station category, turnaround station category, target passenger flow station category, transfer station category, signal-concentrated station category, and station category with turnouts.
[0089] During the specific implementation process, the calculation module 2 is specifically used to: determine at least one subcategory corresponding to each of the stations; perform addition operation on the predetermined weight values corresponding to at least one of the subcategory corresponding to the same station to obtain the first weight value corresponding to the same station, so as to obtain the first weight values corresponding to each of the stations.
[0090] During the specific implementation process, the screening module 3 is specifically used to: screen each of the stations based on the number of lines at each of the stations, and determine the station in which the number of lines exceeds a preset threshold as the first central station; determine the hub station in each of the stations as the second central station; screen each of the stations based on the first number of the first central stations, the second number of the second central stations, each of the first weight values and the predetermined number of group divisions to obtain each central station.
[0091] During the specific implementation process, the screening module 3 is also used to: calculate the sum of the first number and the second number to obtain a first value; perform a subtraction operation on the first value based on the predetermined group division number to obtain a second value; filter the first central station and the second central station in each of the stations to obtain a first station set; filter the first station set based on each of the first weight values to obtain a third central station to obtain each of the central stations; each of the central stations includes a first central station, a second central station and a third central station.
[0092] In the specific implementation process, the matching module 4 is specifically used to: calculate the distance between each sub-control station and each central station respectively to obtain each distance value; match the sub-control station for each central station based on each distance value, the control capacity of each central station and the preset control range of each central station to obtain a station group corresponding to each central station.
[0093] In the specific implementation process, the matching module 4 is also used to: based on each of the distance values, use a preset matching rule to assign each of the sub-control stations to the nearest central station in descending order of priority of each of the sub-control stations; when the control capacity of the nearest central station is saturated, assign the sub-control station to the next nearest central station.
[0094] The present application classifies each station based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each station; performs calculation based on a preset weight value corresponding to at least one subcategory in each station category to obtain a first weight value corresponding to each station; screens each station based on each first weight value, the number of lines passing through each station, and the number of predetermined group divisions to obtain each central station; matches sub-control stations for each central station to obtain station groups corresponding to each central station. In actual application, the station group division method of the present application is only manned at each central station, while each sub-control station is an unmanned station. The central station can control other sub-control stations in the group, reducing manpower and material resources and saving operating costs.
[0095] Another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the following method steps are implemented:
[0096] Step 1: classify each station in the target city rail transit line based on the operation parameters of each station to obtain a station category corresponding to each station;
[0097] Step 2: performing calculation based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations;
[0098] Step 3: Screening each of the stations based on each of the first weight values, the number of routes passing through each of the stations, and the number of predetermined group divisions to obtain each central station;
[0099] Step 4: Match the sub-control stations for each of the central stations to obtain station groups corresponding to each of the central stations.
[0100] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0101] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0102] The specific implementation process of the above method steps can refer to the embodiments of any of the above-mentioned urban rail transit station grouping methods, and this embodiment will not be repeated here.
[0103] The present application classifies each station based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each station; performs calculation based on a preset weight value corresponding to at least one subcategory in each station category to obtain a first weight value corresponding to each station; screens each station based on each first weight value, the number of lines passing through each station, and the number of predetermined group divisions to obtain each central station; matches sub-control stations for each central station to obtain station groups corresponding to each central station. In actual application, the station group division method of the present application is only manned at each central station, while each sub-control station is an unmanned station. The central station can control other sub-control stations in the group, reducing manpower and material resources and saving operating costs.
[0104] Another embodiment of the present application provides an electronic device, which may be a server, and the electronic device includes a processor, a memory, a network interface, and a database connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external client via a network connection. When the electronic device program is executed by the processor, it implements the functions or steps of a server-side method for grouping urban rail transit stations.
[0105] In one embodiment, an electronic device is provided, which may be a client. The electronic device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external server via a network connection. When the electronic device program is executed by the processor, it implements the functions or steps on the client side of a method for grouping urban rail transit stations.
[0106] Another embodiment of the present application provides an electronic device, comprising at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the following method steps when executing the computer program in the memory:
[0107] Step 1: classify each station in the target city rail transit line based on the operation parameters of each station to obtain a station category corresponding to each station;
[0108] Step 2: performing calculation based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations;
[0109] Step 3: Screening each of the stations based on each of the first weight values, the number of routes passing through each of the stations, and the number of predetermined group divisions to obtain each central station;
[0110] Step 4: Match the sub-control stations for each of the central stations to obtain station groups corresponding to each of the central stations.
[0111] The specific implementation process of the above method steps can refer to the embodiments of any of the above-mentioned urban rail transit station grouping methods, and this embodiment will not be repeated here.
[0112] The present application classifies each station based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each station; performs calculation based on a preset weight value corresponding to at least one subcategory in each station category to obtain a first weight value corresponding to each station; screens each station based on each first weight value, the number of lines passing through each station, and the number of predetermined group divisions to obtain each central station; matches sub-control stations for each central station to obtain station groups corresponding to each central station. In actual application, the station group division method of the present application is only manned at each central station, while each sub-control station is an unmanned station. The central station can control other sub-control stations in the group, reducing manpower and material resources and saving operating costs.
[0113] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.
Claims
1. A method for dividing urban rail transit station groups, characterized in that: include: Classifying each of the stations based on the operating parameters of each station in the target city rail transit line to obtain a station category corresponding to each of the stations; Performing calculation based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations; Screening each of the stations based on each of the first weight values, the number of routes passing through each of the stations, and the number of predetermined group divisions to obtain each central station; Sub-control stations are matched for each of the central stations to obtain station groups corresponding to each of the central stations.
2. The method according to claim 1, characterized in that The step of classifying each station based on the operation parameters of each station in the target urban rail transit line to obtain a station category corresponding to each station includes: Classifying each of the stations based on the workload parameters of the train operation at each of the stations to obtain a number of starting stations and a number of return stations; Classifying each of the stations based on the station passenger flow parameters of each of the stations to obtain a number of target passenger flow stations and a number of transfer stations; Classifying each of the stations based on the signal and turnout workload parameters of each of the stations to obtain a number of signal-concentrated stations and a number of turnout stations; The operation parameters include the driving operation workload parameters, station passenger flow parameters, and signal and turnout workload parameters; The station categories include starting station category, turnaround station category, target passenger flow station category, transfer station category, signal concentration station category and switch station category.
3. The method according to claim 1, characterized in that The step of performing calculation based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations specifically includes: determining at least one subcategory corresponding to each of the stations; An addition operation is performed on the predetermined weight value corresponding to at least one of the subcategories corresponding to the same station to obtain a first weight value corresponding to the same station, so as to obtain a first weight value corresponding to each of the stations.
4. The method according to claim 1, characterized in that The screening of the stations based on the first weight values, the number of lines passing through the stations, and the number of predetermined group divisions to obtain the central stations specifically includes: Screening each of the stations based on the number of lines at each of the stations, and determining a station whose number of lines exceeds a preset number threshold among the stations as a first central station; Determine the hub station among the stations as the second central station; Based on the first number of the first central stations, the second number of the second central stations, the first weight values and the predetermined number of group divisions, the stations are screened to obtain the central stations.
5. The method according to claim 4, characterized in that The selecting each of the stations based on the first number of the first central stations, the second number of the second central stations, each of the first weight values, and the predetermined number of group divisions to obtain each central station specifically includes: Calculate the sum of the first number and the second number to obtain a first value; Performing a subtraction operation on the predetermined group division number and the first value to obtain a second value; Filtering the first central station and the second central station in each of the stations to obtain a first station set; The first station set is screened based on each of the first weight values to obtain a third central station, so as to obtain each of the central stations; Each of the central stations includes a first central station, a second central station and a third central station.
6. The method according to claim 1, characterized in that The sub-control station matching is performed for each of the central stations to obtain a station group corresponding to each of the central stations, specifically including: Calculating the distances between each sub-control station and each central station to obtain respective distance values; Based on each of the distance values, the control capacity of each of the central stations and the preset control range of each of the central stations, a sub-control station is matched to each of the central stations to obtain a station group corresponding to each of the central stations.
7. The method according to claim 6, characterized in that The matching of the sub-control stations for the central stations based on the distance values, the control capacity of the central stations and the preset control range of the central stations to obtain the station groups corresponding to the central stations specifically includes: Based on each of the distance values, a preset matching rule is used to assign each of the sub-control stations to the central station closest to the central station in descending order of priority of each of the sub-control stations; When the control capacity of the nearest central station is saturated, the sub-control station is allocated to the next nearest central station.
8. A device for dividing urban rail transit stations into groups, characterized in that: include: A classification module, used to classify each station in the target city rail transit line based on the operation parameters of each station, and obtain the station category corresponding to each station; A calculation module, configured to perform calculation processing based on a preset weight value corresponding to at least one subcategory in each of the station categories to obtain a first weight value corresponding to each of the stations; A screening module, configured to screen the stations based on the first weight values, the number of lines passing through the stations, and the number of predetermined group divisions to obtain the central stations; The matching module is used to match the sub-control stations for each of the central stations respectively to obtain the station groups corresponding to each of the central stations.
9. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for dividing urban rail transit stations into groups as described in any one of claims 1 to 7 are implemented.
10. An electronic device, characterized in that: The method comprises at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for dividing urban rail transit stations into groups as described in any one of claims 1 to 7 when executing the computer program on the memory.