Rail transit train diagram index analysis system, method, device and medium

Abstract

The present application relates to a kind of rail transit train diagram index analysis system, method, equipment and medium, the system includes: line network management module, for the basic parameters of each line of line network management line;Line information initialization module, for initializing line based on the basic information of configured line;Passenger flow data processing module, for reading the same feature day passenger flow data of multiple formats, and based on the passenger flow data of multiple same feature days fusion processing;Diagram index analysis and output module, for according to the train diagram index analysis system constructed, import train diagram, carry out index analysis to train diagram, and output each type index analysis result;Index comparative analysis module, for according to the analysis result of other imported train diagram, different train diagram index comparative analysis is carried out, and output comparative analysis result.Compared with prior art, the present application has the advantages of supporting multiple lines of line network, train diagram analysis is more comprehensive, etc..

Description

Technical Field

[0001] This invention relates to rail transit signaling systems, and more particularly to a rail transit train timetable index analysis system, method, equipment, and medium. Background Technology

[0002] In recent years, urban rail transit in China has developed rapidly, playing an indispensable role in alleviating urban traffic congestion, meeting the travel needs of the public, and promoting urban development. Against the backdrop of global resource scarcity and intensifying climate change, decarbonization is becoming increasingly urgent. As the backbone of urban public transportation, rail transit is subject to ever-increasing demands for green and high-quality operation. Train timetables, as the foundation of rail transit operation, are key to improving transportation efficiency and service quality. Therefore, effectively and comprehensively analyzing timetables is crucial for the preparation of planned timetables.

[0003] Currently, when cities compile train timetables, they mainly analyze individual indicators such as operating time and number of trains on a single line. This indicator analysis is relatively simplistic and lacks a comprehensive analysis of the indicators of train timetables across the entire network. Furthermore, it is impossible to compare and analyze the compilation of multiple train timetables, making it difficult to effectively, intuitively, and concretely reflect the improvement level of rail transit operations brought about by the compilation of train timetables.

[0004] A search revealed a method and apparatus for analyzing rail transit operation diagrams in Chinese Patent Publication No. CN115759535A. Specifically, the method includes: acquiring multiple sets of first indicator data corresponding to multiple lines in the rail transit operation diagram; each set of first indicator data includes at least: a first type of indicator data for evaluating passenger service quality, a second type of indicator data for evaluating the matching degree of transport capacity and passenger volume, and a third type of indicator data for evaluating the transfer connection status; determining the target weight of each type of indicator data in the multiple sets of first indicator data; determining the sub-score of each type of indicator data corresponding to each line based on the target weight, and determining the operation diagram optimization direction for each line based on the sub-scores; determining the comprehensive score of each line based on the sub-scores, and ranking the multiple lines based on the comprehensive scores.

[0005] The analysis reveals that current analysis of urban rail transit train timetables mainly focuses on the actual timetables after the end of operation, and then adjusts the planned train timetable accordingly. There is a lack of comprehensive and effective analysis of the planned train timetables. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a rail transit train timetable index analysis system, method, equipment and medium that supports multiple lines in the network, provides more comprehensive train timetable analysis, more accurate passenger flow data processing, and supports analysis and comparison of multiple train timetables.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] According to a first aspect of the present invention, a rail transit train timetable index analysis system is provided, the system comprising:

[0009] The network management module is used to manage the basic parameters of each line in the network.

[0010] The line information initialization module is connected to the network management module and is used to initialize the line based on the configured basic line information.

[0011] The passenger flow data processing module is connected to the route information initialization module. It is used to read passenger flow data of the same characteristic days in multiple formats and perform fusion processing based on passenger flow data of multiple days with the same characteristic.

[0012] The train timetable indicator analysis and output module is connected to the passenger flow data processing module. It is used to import the train timetable according to the constructed train timetable indicator analysis system, perform indicator analysis on the train timetable, and output the analysis results of various types of indicators.

[0013] The indicator comparison and analysis module is used to compare and analyze the indicators of different train timetables based on the analysis results of other imported train timetables, and output the comparison and analysis results.

[0014] According to a second aspect of the present invention, a method for using the rail transit train timetable index analysis system is provided, the method comprising the following steps:

[0015] Step S1: Based on the configured network data and the basic data of each line in the network, start the network management module initialization;

[0016] Step S2: Switch to the line initialization module according to the line configuration. The line initialization module initializes the basic line information and organizes the line data according to the set data structure.

[0017] Step S3: Import multiple passenger flow data files with the same characteristic days and start the passenger flow data processing module. The passenger flow data processing module performs fusion processing on the multiple passenger flow data with the same characteristic days according to the smallest time granularity to obtain passenger flow data with the same characteristic days with a finer time granularity.

[0018] Step S4: Import the train timetable file for the line, start the timetable index analysis and output module. The timetable index analysis and output module performs a comprehensive analysis and calculation on the train timetable based on the constructed train timetable index analysis system. After the analysis is completed, it outputs the analysis results and index analysis result files of various types. Determine whether to perform index comparison analysis. If yes, proceed to step S5. Otherwise, further determine whether it is necessary to analyze the train timetables of other lines in the network. If yes, return to step S2. Otherwise, end.

[0019] Step S5: Import the index analysis results of another train timetable, start the index comparison analysis module, the index comparison analysis module compares and analyzes the index analysis results of the other train timetable with the index analysis results of this line timetable, and outputs the analysis results of the index comparison between the two train timetables.

[0020] As a preferred technical solution, this method supports the analysis of train timetable indicators for network-based operations and the data analysis of multiple lines in a network configuration.

[0021] As a preferred technical solution, the passenger flow data file in step S3 contains passenger flow data in multiple data formats and with multiple time granularities.

[0022] As a preferred technical solution, step S3, which involves fusing passenger flow data from multiple days with the same characteristic days, specifically includes:

[0023] Step S3.1: Read passenger flow data files from multiple days with the same characteristics, and obtain the original passenger flow data according to the divided intervals;

[0024] Step S3.2: Merge the original passenger flow data according to the same interval and the same time period, and redivide the passenger flow data of each cross-sectional interval according to the smallest time granularity.

[0025] As a preferred technical solution, the train timetable index analysis system in step S4 includes:

[0026] Basic operational indicators used to evaluate the basic preparation of the operational chart;

[0027] Sub-routes indicators used to analyze the usage of routes in the operation diagram;

[0028] Segment indicators used to analyze each segment of the running chart;

[0029] Car undercarriage usage indicators used to analyze the undercarriage usage in the operation diagram;

[0030] Indicators for analyzing the usage of railway depot sections;

[0031] First and last train indicators are used to analyze the first and last train information of each mainline station on the line.

[0032] Used to analyze the bidirectional simultaneous arrival index for simultaneous arrival in the operation diagram;

[0033] A capacity-volume matching index used to analyze passenger load conditions at different sections of a railway line.

[0034] As a preferred technical solution, the basic operating indicators include the operating time of the timetable, the number of trains running in both directions, the number of trains carrying passengers on the track, the travel speed and technical speed, the passenger-carrying empty running kilometers, the total running kilometers, the total train hours, and the passenger-carrying empty running train hours.

[0035] As a preferred technical solution, the route separation index is specifically as follows:

[0036] Based on the station arrival and departure events in the timetable, identify the routes used in the timetable, and calculate the average technical speed, average travel speed, number of trains in service, and operating cycle for each route according to the time period division.

[0037] As a preferred technical solution, the segmentation index is specifically as follows:

[0038] Based on the arrival and departure events at the stations in the timetable, the timetable is divided into operating sections, and the average, maximum and minimum intervals of each operating section in both the up and down directions are calculated according to the time periods.

[0039] As a preferred technical solution, the specific indicators for vehicle undercarriage application are:

[0040] Obtain all train sets in the operation plan and calculate the departure and arrival times, departure and arrival stations, total travel time, total travel distance, and train route statistics for each train set; among which, the train route statistics are calculated to determine all route types and the number of times each train set is used.

[0041] As a preferred technical solution, the inbound and outbound indicators are specifically as follows:

[0042] Acquire all sections and calculate the usage of each section, including the outbound and inbound quantities for each inbound / outbound transfer track.

[0043] As a preferred technical solution, the first and last bus indicators are specifically as follows:

[0044] Obtain all mainline stations and calculate the first and last train times for each station, including the first and last train times for both directions.

[0045] As a preferred technical solution, the bidirectional simultaneous arrival index specifically refers to:

[0046] Based on the set standard time for simultaneous arrival and the start and end time periods, calculate the number of trains arriving at all stations on the line at the same time, the number of simultaneous arrivals, and the simultaneous arrival rate during that time period.

[0047] As a preferred technical solution, the capacity-volume matching index is specifically as follows:

[0048] The load factor for each cross-sectional section at each time granularity is calculated as the number of passengers in the section divided by (passenger capacity of the vehicle * number of vehicles in the time period).

[0049] As a preferred technical solution, the analysis result files of each type of indicator in step S4 are EXCEL format files.

[0050] According to a third aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method described thereon.

[0051] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method described thereon.

[0052] Compared with the prior art, the present invention has the following advantages:

[0053] 1) This invention supports index analysis of train timetables for multiple lines in the network, and the constructed index analysis system is more comprehensive.

[0054] 2) This invention supports the fusion of multiple daily passenger flow data with the same characteristics and refines the time granularity, making the capacity and volume matching calculation more accurate.

[0055] 3) This invention supports comparative analysis of multiple train timetable analysis indicators on the same line, which helps to adjust and optimize the train timetable. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of the train operation diagram index analysis system of the present invention.

[0057] Figure 2 This is a functional block diagram of the system of the present invention.

[0058] Figure 3 This is a flowchart illustrating the specific process of the method of the present invention. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0060] like Figure 3As shown, the method of the present invention includes the following implementation steps:

[0061] Step S1: Based on the configured network data and the basic data of each line in the network, start the network management module to initialize the indicator analysis system.

[0062] Step S2: Switch to the line initialization module according to the line configuration. The initialization module initializes the basic line information and organizes the line data according to the set data structure.

[0063] Step S3: Import multi-day passenger flow data files with the same characteristic days and start the passenger flow data processing module. Based on the smallest time granularity, merge the multi-day passenger flow data with the same characteristic days to obtain cross-sectional passenger flow data with a finer time granularity. This includes reading passenger flow data from multiple days with the same characteristic, obtaining the original passenger flow data based on the divided intervals, merging the original passenger flow data according to the same intervals and time periods, and re-dividing the passenger flow data for each cross-sectional interval according to the smallest time granularity. The passenger flow data supports different time granularities and data formats; the default smallest time granularity is 5 minutes.

[0064] Step S4: Import train timetable data in the specified format and start the index analysis task. Perform comprehensive analysis and calculation on the train timetable according to the train timetable index analysis system, generating comprehensive indicators, route indicators, section indicators, rolling stock utilization indicators, depot entry and exit indicators, first and last trains, and analysis results for simultaneous arrivals in both directions. Output the results in EXCEL format. Based on the basic line information from Step S2, divide the up and down section sections, set the start and end times and time intervals, and the trainset crewing and passenger capacity, generating the capacity and passenger volume matching calculation results for the train timetable, and outputting the capacity and passenger volume results in EXECL format. The capacity and passenger volume matching calculation result is the load factor for each section section at each time granularity, which is taken as the number of passengers in the section / (trainset passenger capacity * number of trains in the time period). The time interval is 30 minutes by default and can be set to any interval. After the index calculation is completed, display the interface for each type of index. If a comparative analysis of indicators is required, proceed to step S5. If the train timetables of other lines in the network need to be analyzed, return to step S1. Otherwise, end the indicator analysis process.

[0065] Step S5: Perform comparative analysis of indicators. Import the analysis results from another train timetable, compare them with the analysis results of the current train timetable, and output the comparative analysis results. If it is necessary to analyze the train timetables of other lines in the network, repeat steps S1-4 as needed; otherwise, end the indicator analysis process.

[0066] like Figure 1As shown, by combining the needs of train timetable indicator analysis, a train timetable indicator analysis system is constructed, which specifically includes: basic operation indicators for evaluating the basic compilation of the timetable; sub-routes indicators for analyzing the route utilization of the timetable; sub-section indicators for analyzing each section of the timetable; rolling stock utilization indicators for analyzing the rolling stock utilization of the timetable; depot entry and exit indicators for analyzing the utilization of the line and depot; first and last train indicators for analyzing the first and last train situations; simultaneous arrival indicators in both directions for analyzing simultaneous arrivals at stations in the timetable; and capacity-volume matching indicators for analyzing passenger load in each section of the line.

[0067] The basic operational indicators of the train timetable include the operating time, number of trains running in both directions, number of trains carrying passengers on the track, travel speed and technical speed, passenger-carrying empty running kilometers, total running kilometers, total train hours, and passenger-carrying empty running train hours.

[0068] The route index of the train timetable refers to identifying the routes used in the timetable based on the platform arrival and departure events, and calculating the average technical speed, average travel speed, number of trains in service, and operating cycle of each route according to the time period division.

[0069] The segmentation index of the train timetable refers to dividing the timetable into operating segments based on the platform arrival and departure events, and calculating the average interval, maximum and minimum interval of each operating segment in both the up and down directions according to the time period.

[0070] The train operation schedule's rolling stock utilization index refers to acquiring all rolling stock in the schedule and calculating the departure and arrival times, departure and arrival stations, total travel time, total travel distance, and train route statistics for each rolling stock. The train route statistics specifically calculate all route types and the number of times each rolling stock is used.

[0071] The train operation schedule's entry and exit indicators refer to obtaining all depot sections and calculating the usage of each section, including the number of entries and exits for each entry / exit transfer rail.

[0072] The first and last train indicators in the train timetable refer to obtaining all mainline stations and calculating the first and last trains for each station, including the first and last train times for both directions.

[0073] The two-way simultaneous arrival index of the train timetable is calculated based on the set simultaneous arrival standard time and start and end time period, and the number of trains arriving at all stations on the line at the same time during that time period, the number of simultaneous arrivals, and the simultaneous arrival rate.

[0074] The capacity-volume matching index of the train operation plan is specifically the full load rate of each cross-section section at each time granularity, which is taken as the number of passengers in the section / (passenger capacity of the trainset * number of trains in the time period). Based on the basic line information in step S1, the up and down cross-section sections are divided, the start and end time periods and time intervals are set, and the trainset formation and passenger capacity are set to generate the capacity-volume matching calculation results of the train operation plan.

[0075] The above is an introduction to the method embodiments. The following system embodiments will further illustrate the solution of the present invention.

[0076] like Figure 2 As shown, this embodiment of the invention provides an urban rail transit train timetable index analysis system, including a network management module 1, a line information initialization module 2, a passenger flow data processing module 3, a timetable index analysis and output module 4, and an index comparison analysis module 5.

[0077] The network management module 1 is activated based on the configured network parameters and basic line data, and is used to manage the basic parameters of each line in the network.

[0078] The line information initialization module 2 initializes the line based on the configured basic line information;

[0079] The passenger flow data processing module 3 is used to read passenger flow data of the same characteristic day in multiple formats and perform fusion processing based on passenger flow data of multiple days with the same characteristic.

[0080] The train timetable index analysis and output module 4 imports the train timetable based on the constructed train timetable index analysis system, performs index analysis on the train timetable, and outputs the analysis results of various types of indicators.

[0081] The indicator comparison and analysis module 5 compares and analyzes the indicators of different train timetables based on the analysis results of other imported train timetables, and outputs the comparison and analysis results.

[0082] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0083] This invention also provides an electronic device including a central processing unit (CPU), which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) or loaded from a storage unit into a random access memory (RAM). The RAM may also store various programs and data required for device operation. The CPU, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0084] Multiple components in the device are connected to the I / O interface, including: input units such as keyboards and mice; output units such as various types of displays and speakers; storage units such as disks and optical discs; and communication units such as network interface cards (NICs), modems, and wireless transceivers. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0085] The processing unit executes the various methods and processes described above, such as methods S1 to S5. For example, in some embodiments, methods S1 to S5 may be implemented as computer software programs tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on the device via ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the CPU, one or more steps of methods S1 to S5 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to execute methods S1 to S5 by any other suitable means (e.g., by means of firmware).

[0086] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0087] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0088] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0089] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method using a rail transit train timetable index analysis system, characterized in that, The system includes: The network management module is used to manage the basic parameters of each line in the network. The line information initialization module is connected to the network management module and is used to initialize the line based on the configured basic line information. The passenger flow data processing module is connected to the route information initialization module. It is used to read passenger flow data of the same characteristic days in multiple formats and perform fusion processing based on passenger flow data of multiple days with the same characteristic. The train timetable indicator analysis and output module is connected to the passenger flow data processing module. It is used to import the train timetable according to the constructed train timetable indicator analysis system, perform indicator analysis on the train timetable, and output the analysis results of various types of indicators. The indicator comparison and analysis module is used to compare and analyze the indicators of different train timetables based on the analysis results of other imported train timetables, and output the comparison and analysis results. The method includes the following steps: Step S1: Based on the configured network data and the basic data of each line in the network, start the network management module initialization; Step S2: Switch to the line initialization module according to the line configuration. The line initialization module initializes the basic line information and organizes the line data according to the set data structure. Step S3: Import multiple passenger flow data files with the same characteristic days and start the passenger flow data processing module. The passenger flow data processing module performs fusion processing on the multiple passenger flow data with the same characteristic days according to the smallest time granularity to obtain passenger flow data with the same characteristic days with a finer time granularity. Step S4: Import the train timetable file for the line, start the timetable index analysis and output module. The timetable index analysis and output module performs a comprehensive analysis and calculation on the train timetable based on the constructed train timetable index analysis system. After the analysis is completed, it outputs the analysis results and index analysis result files of various types. Determine whether to perform index comparison analysis. If yes, proceed to step S5. Otherwise, further determine whether it is necessary to analyze the train timetables of other lines in the network. If yes, return to step S2. Otherwise, end. Step S5: Import the index analysis results of another train timetable, start the index comparison analysis module, the index comparison analysis module compares and analyzes the index analysis results of the other train timetable with the index analysis results of this line timetable, and outputs the analysis results of the index comparison between the two train timetables.

2. The method according to claim 1, characterized in that, This method supports the analysis of train timetable indicators for network-based operations and the analysis of data from multiple lines within a network.

3. The method according to claim 1, characterized in that, The passenger flow data file in step S3 contains passenger flow data in various data formats and at various time granularities.

4. The method according to claim 1, characterized in that, In step S3, the fusion processing of multi-day passenger flow data with the same characteristic days specifically involves: Step S3.1: Read passenger flow data files from multiple days with the same characteristics, and obtain the original passenger flow data according to the divided intervals; Step S3.2: Merge the original passenger flow data according to the same interval and the same time period, and redivide the passenger flow data of each cross-sectional interval according to the smallest time granularity.

5. The method according to claim 1, characterized in that, The train timetable index analysis system in step S4 includes: Basic operational indicators used to evaluate the basic preparation of the operational chart; Sub-routes indicators used to analyze the usage of routes in the operation diagram; Segment indicators used to analyze each segment of the running chart; Car undercarriage usage indicators used to analyze the undercarriage usage in the operation diagram; Indicators for analyzing the usage of railway depot sections; First and last train indicators are used to analyze the first and last train information of each mainline station on the line. Used to analyze the bidirectional simultaneous arrival index for simultaneous arrival in the operation diagram; A capacity-volume matching index used to analyze passenger load conditions at different sections of a railway line.

6. The method according to claim 5, characterized in that, The basic operational indicators include the operating time of the timetable, the number of trains running in both directions, the number of trains carrying passengers on the track, the travel speed and technical speed, the passenger-carrying empty-running kilometers, the total travel kilometers, the total train hours, and the passenger-carrying empty-running train hours.

7. The method according to claim 5, characterized in that, The specific branching indicators are as follows: Based on the station arrival and departure events in the timetable, identify the routes used in the timetable, and calculate the average technical speed, average travel speed, number of trains in service, and operating cycle for each route according to the time period division.

8. The method according to claim 5, characterized in that, The specific segmentation indicators are as follows: Based on the arrival and departure events at the stations in the timetable, the timetable is divided into operating sections, and the average, maximum and minimum intervals of each operating section in both the up and down directions are calculated according to the time periods.

9. The method according to claim 5, characterized in that, The specific indicators for the use of the vehicle undercarriage are as follows: Obtain all train sets in the operation plan and calculate the departure and arrival times, departure and arrival stations, total travel time, total travel distance, and train route statistics for each train set; among which, the train route statistics are calculated to determine all route types and the number of times each train set is used.

10. The method according to claim 5, characterized in that, The specific inbound and outbound indicators are as follows: Acquire all sections and calculate the usage of each section, including the outbound and inbound quantities for each inbound / outbound transfer track.

11. The method according to claim 5, characterized in that, The specific first and last bus quotas are as follows: Obtain all mainline stations and calculate the first and last train times for each station, including the first and last train times for both directions.

12. The method according to claim 5, characterized in that, The specific two-way simultaneous arrival indicator is as follows: Based on the set standard time for simultaneous arrival and the start and end time periods, calculate the number of trains arriving at all stations on the line at the same time, the number of simultaneous arrivals, and the simultaneous arrival rate during that time period.

13. The method according to claim 5, characterized in that, The specific indicators for matching transport capacity and volume are as follows: The occupancy rate of each cross-sectional area at each time granularity is calculated as the number of passengers in the area divided by the vehicle's passenger capacity. (Number of trains during a given time period).

14. The method according to claim 5, characterized in that, The analysis results files for each type of indicator in step S4 are in EXCEL format.

15. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1 to 14.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 14.

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