High-speed rail line importance determination method and device, and storage medium

Abstract

The application provides a high-speed rail line importance determination method and device and a storage medium, relates to the field of communication, and can solve the problem that different high-speed rail lines cannot be differentiated and evaluated. The method comprises the following steps: determining line information of a high-speed rail line and a wireless network key performance indicator (KPI) of the high-speed rail line; determining an importance weight of the high-speed rail line based on the line information of the high-speed rail line and the KPI of the high-speed rail line, wherein the importance weight is used to represent the importance degree of the high-speed rail line. The application can take the high-speed rail line as the minimum unit, differentiate and calculate the importance degrees of different high-speed rail lines, and can intuitively reflect the differences between different high-speed rail lines in terms of communication networks through the importance weight of the high-speed rail line, so that the communication services of different high-speed rail lines can be differentiated and guaranteed based on the importance weight in the future, and the user experience can be improved.

Description

Technical Field

[0001] This application relates to the field of communications, and in particular to a method, apparatus and storage medium for determining the importance of a high-speed railway line. Background Technology

[0002] The wireless network covering high-speed rail lines is usually called the high-speed rail network. In terms of network structure, the high-speed rail network differs significantly from the large network; the high-speed rail network is usually distributed in a strip along the high-speed rail line.

[0003] Currently, the evaluation, optimization, and operation of high-speed rail networks are typically conducted at a specific geographical level. For example, high-speed rail networks within the same city or province are optimized using uniform standards. However, this approach fails to provide differentiated evaluations for different high-speed rail lines. Summary of the Invention

[0004] This application provides a method, apparatus, and storage medium for determining the importance of high-speed railway lines, which can enable differentiated evaluation of different high-speed railway lines.

[0005] To achieve the above objectives, this application adopts the following technical solution: In a first aspect, this application provides a method for determining the importance of a high-speed rail line. The method includes: determining the line information of the high-speed rail line and the key performance indicators (KPIs) of the high-speed rail line's wireless network; and determining the importance weight of the high-speed rail line based on the line information and the KPIs of the high-speed rail line, wherein the importance weight is used to characterize the degree of importance of the high-speed rail line.

[0006] In conjunction with the first aspect mentioned above, in one possible implementation, the KPIs of high-speed rail lines are determined based on at least one of the following: air interface traffic; number of Radio Resource Control (RRC) connections; physical resource block (PRB) utilization rate; and preset KPIs.

[0007] In conjunction with the first aspect mentioned above, in one possible implementation, the route information of the high-speed rail line includes at least one of the following: the area through which the high-speed rail line passes, the GDP of the area through which the high-speed rail line passes, the number of stops along the high-speed rail line, and the duration of stops along the high-speed rail line.

[0008] In conjunction with the first aspect mentioned above, in one possible implementation, the importance weight of the high-speed rail line is determined based on the line information, including: dividing the high-speed rail line into sections according to the areas it passes through; determining the key performance indicators (KPIs) of the wireless network for each section; determining the weight of each KPI based on the line information of the high-speed rail line; and determining the importance weight of the high-speed rail line based on the KPIs and their weights for each section.

[0009] In conjunction with the first aspect mentioned above, in one possible implementation, the weight of the KPI for each interval is determined based on any of the following: the GDP of each interval; the number of stops in each interval; the stop duration in each interval; or a preset weight value.

[0010] In conjunction with the first aspect mentioned above, in one possible implementation, the importance weight of high-speed rail lines satisfies the following formula:

[0011] In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line.

[0012] In conjunction with the first aspect mentioned above, in one possible implementation, the importance weight of high-speed rail lines satisfies the following formula:

[0013] In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line. This represents the line parameters, which are related to the number of sections of the high-speed rail line.

[0014] In conjunction with the first aspect mentioned above, in one possible implementation, the line parameters are determined in the following way: the line parameters corresponding to the number of sections of the high-speed rail line are determined according to a first mapping relationship, the first mapping relationship being used to characterize the correspondence between the number of sections and the line parameters; or, preset parameter values ​​are determined as line parameters.

[0015] In conjunction with the first aspect mentioned above, in one possible implementation, the method further includes: determining a network optimization strategy for high-speed rail lines based on importance weights, wherein the network optimization strategy includes at least one of adjusting the network expansion threshold, adjusting the network planning, and whether to activate the high-speed rail network function.

[0016] In conjunction with the first aspect mentioned above, in one possible implementation, determining the network optimization strategy for high-speed rail lines based on importance weights includes: determining the network optimization strategy corresponding to the importance weights according to a second mapping relationship, wherein the second mapping relationship is used to characterize the correspondence between the importance weights and the network optimization strategy.

[0017] Secondly, this application provides a device for determining the importance of a high-speed railway line, the device comprising: The first determining unit is used to determine the line information of the high-speed rail line and the key performance indicators (KPIs) of the high-speed rail line's wireless network; the second determining unit is used to determine the importance weight of the high-speed rail line based on the line information and the KPIs of the high-speed rail line, and the importance weight is used to characterize the degree of importance of the high-speed rail line.

[0018] In conjunction with the second aspect above, in one possible implementation, the KPIs of high-speed rail lines are determined based on at least one of the following: air interface traffic; number of Radio Resource Control (RRC) connections; physical resource block (PRB) utilization rate; and preset KPIs.

[0019] In conjunction with the second aspect above, in one possible implementation, the route information of the high-speed rail line includes at least one of the following: the area through which the high-speed rail line passes, the GDP of the area through which the high-speed rail line passes, the number of stops of the high-speed rail line, and the duration of stops of the high-speed rail line.

[0020] In conjunction with the second aspect above, in one possible implementation, the second determining unit is used to: divide the high-speed rail line into sections according to the areas it passes through; determine the key performance indicators (KPIs) of the wireless network for each section; determine the weight of the KPIs for each section based on the line information of the high-speed rail line; and determine the importance weight of the high-speed rail line based on the KPIs and the weights of the KPIs for each section.

[0021] In conjunction with the second aspect above, in one possible implementation, the weight of the KPI for each interval is determined based on any of the following: the GDP of each interval; the number of stops in each interval; the stop duration in each interval; or a preset weight value.

[0022] In conjunction with the second aspect above, in one possible implementation, the importance weight of high-speed rail lines satisfies the following formula:

[0023] In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line.

[0024] In conjunction with the second aspect above, in one possible implementation, the importance weight of high-speed rail lines satisfies the following formula:

[0025] In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line. This represents the line parameters, which are related to the number of sections of the high-speed rail line.

[0026] In conjunction with the second aspect above, in one possible implementation, the third determining unit is used to: determine the line parameters corresponding to the number of sections of the high-speed rail line according to the first mapping relationship, wherein the first mapping relationship is used to characterize the correspondence between the number of sections and the line parameters; or, determine the preset parameter values ​​as line parameters.

[0027] In conjunction with the second aspect above, in one possible implementation, the device further includes: a fourth determining unit, used to determine a network optimization strategy for the high-speed rail line based on importance weights, wherein the network optimization strategy includes at least one of adjusting the network expansion threshold, adjusting the network planning, and whether to activate the high-speed rail network function.

[0028] In conjunction with the second aspect above, in one possible implementation, the fourth determining unit is used to: determine the network optimization strategy corresponding to the importance weight according to the second mapping relationship, wherein the second mapping relationship is used to characterize the correspondence between the importance weight and the network optimization strategy.

[0029] Thirdly, this application provides an electronic device, including: a processor and a communication interface; the communication interface and the processor are coupled, and the processor is used to run computer programs or instructions to implement the method for determining the importance of high-speed railway lines as described in the first aspect and any possible implementation thereof.

[0030] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method for determining the importance of high-speed rail lines as described in the first aspect and any possible implementation thereof.

[0031] Fifthly, this application provides a computer program product containing instructions that, when run on a computer, cause the computer to execute the method for determining the importance of high-speed rail lines as described in the first aspect and any possible implementation thereof.

[0032] In a sixth aspect, this application provides a chip including a processor and a communication interface, the communication interface and the processor being coupled together, the processor being used to run computer programs or instructions to implement the method for determining the importance of high-speed rail lines as described in the first aspect and any possible implementation thereof.

[0033] Specifically, the chip provided in this application also includes a memory for storing computer programs or instructions.

[0034] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the processor of the device, or it may be packaged separately from the processor of the device; this application does not impose any limitation on this.

[0035] In a seventh aspect, this application provides a system for determining the importance of a high-speed railway line, comprising: a device for determining the importance of a high-speed railway line and a terminal, wherein the device for determining the importance of a high-speed railway line is used to perform the method for determining the importance of a high-speed railway line as described in the first aspect and any possible implementation thereof.

[0036] The descriptions of aspects two through seven in this application can be referenced to the detailed description of aspect one; and the beneficial effects of the descriptions of aspects two through seven can be referenced to the analysis of the beneficial effects of aspect one, which will not be repeated here.

[0037] In this application, the name of the aforementioned high-speed rail line importance determination device does not limit the equipment or functional module itself. In actual implementation, these devices or functional modules may appear under other names. As long as the function of each device or functional module is similar to that of this application, it falls within the scope of the claims of this application and its equivalents.

[0038] These or other aspects of this application will become more readily apparent in the following description.

[0039] The method for determining the importance of high-speed rail lines provided in this application calculates the importance weight of high-speed rail lines based on their line information and KPIs. This method uses high-speed rail lines as the smallest unit to calculate the importance of different high-speed rail lines in a differentiated manner. It can intuitively reflect the differences in communication networks of different high-speed rail lines through the importance weight, so as to provide differentiated protection for the communication services of different high-speed rail lines based on the importance weight, thereby improving the user experience. Attached Figure Description

[0040] Figure 1 This application provides a schematic diagram of the architecture of a high-speed rail line importance determination system. Figure 2A flowchart illustrating a method for determining the importance of a high-speed rail line, provided in an embodiment of this application; Figure 3 A flowchart illustrating another method for determining the importance of a high-speed rail line provided in this application embodiment; Figure 4 This is a schematic diagram of the structure of a device for determining the importance of a high-speed railway line, provided in an embodiment of this application. Figure 5 This is a schematic diagram of the hardware structure of a device for determining the importance of a high-speed railway line, provided in an embodiment of this application. Detailed Implementation

[0041] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0042] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0043] The terms "first" and "second," etc., used in the specification and drawings of this application are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a specific order of objects.

[0044] Furthermore, the terms "comprising" and "having," and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0045] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0046] In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0047] The wireless network covering high-speed rail lines is usually called the high-speed rail network. In terms of network structure, the high-speed rail network differs significantly from the large network; the high-speed rail network is usually distributed in a strip along the high-speed rail line.

[0048] The coverage of wireless network cells is limited, and the high-speed rail scenario is characterized by high-speed movement, dense user populations, and high instantaneous load. This leads to differences in the business models of cells along the high-speed rail network compared to those of larger network cells. Larger network cells exhibit a tidal effect, with one or two fixed peak traffic periods throughout the day, generally referred to as busy times, as users move around. In contrast, the business models of cells along the high-speed rail network typically change with the timing and frequency of train service. When no trains are passing, traffic is extremely low; when trains pass, traffic surges rapidly, and there are no significant busy times in cells along the high-speed rail network; multiple traffic peaks occur throughout the day.

[0049] Furthermore, high-speed rail networks typically traverse multiple cities and even provinces. Differences in the location of the lines, their frequency of service, and the number of provinces they pass through all contribute to significant variations in the number of users connected and the volume of traffic. Cellular areas covering different lines exhibit substantial differences in the types and numbers of connected users, leading to marked differences in business models and traffic volume.

[0050] In traditional wireless communication networks, the evaluation, optimization, and operation of wireless networks are typically conducted at a granular geographical scale. Specifically, this involves using the same evaluation standards within a city or province to monitor network load indicators and capacity bottlenecks, and then using this as a basis for network optimization and expansion.

[0051] Taking load assessment and capacity expansion as an example, traditional methods typically use hourly performance metrics to evaluate network load. Based on a unified expansion scheme and threshold criteria, it is determined whether network devices with the same frequency and configuration within the same area need optimization and expansion.

[0052] Currently, the performance evaluation and problem optimization of the high-speed rail network basically follow the evaluation approach and indicator system of the larger network. Targeted optimization and maintenance work can be carried out through a comprehensive analysis of the high-speed rail network.

[0053] Taking capacity expansion as an example, in order to accurately assess the actual load of cells covering high-speed rail lines, it is necessary to collect statistics on actual traffic flow, resources, and user indicators when trains pass through. In all 5G wireless networks covering high-speed rail lines, a unified capacity expansion scheme and threshold criteria are used to determine whether the current cell has reached its capacity bottleneck and meets the expansion criteria, thereby providing support for further resource investment.

[0054] However, the wireless communication service model in high-speed rail scenarios differs significantly from that of traditional large-scale networks. Different high-speed rail lines exhibit substantial differences in user numbers, service models, and service frequency. The traditional, region-based, one-size-fits-all approach used in large-scale networks cannot meet the differentiated service requirements of different line levels within high-speed rail networks.

[0055] When providing communication network services to high-speed rail users, operators need to prioritize ensuring the service experience for users on lines with higher communication service demands. This means allocating valuable bandwidth resources to high-speed rail lines with higher service demands and a more significant return on investment, thereby effectively improving the communication experience for high-speed rail users through optimized resource allocation.

[0056] However, the existing one-size-fits-all optimization and expansion solutions based on region and equipment type cannot meet the needs of precise operation and are not suitable for high-speed rail scenarios.

[0057] Specifically, using a one-size-fits-all approach to capacity expansion has the following problems: First, if the expansion strategy is set too strictly, i.e. the threshold value is too high, it is easy for some popular lines to experience increased load and reach capacity bottlenecks, and expansion will still not be possible, resulting in a poor user experience and hindering the creation of a high-quality high-speed rail network.

[0058] Second, if the expansion strategy is set too loosely, i.e. the threshold value is low, some low-value high-speed rail lines may reach the expansion threshold before reaching the capacity bottleneck, thus wasting spectrum resources.

[0059] The method for determining the importance of high-speed rail lines provided in this application calculates the importance weight of high-speed rail lines based on their line information. It can calculate the importance of different high-speed rail lines in a differentiated manner, using the high-speed rail line as the smallest unit. The importance weight of high-speed rail lines can intuitively reflect the differences in communication networks of different high-speed rail lines, so as to provide differentiated protection for the communication services of different high-speed rail lines based on their importance weight, thereby improving the user experience.

[0060] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0061] Figure 1 This is a schematic diagram of the architecture of a high-speed rail line importance determination system provided in an embodiment of this application. Figure 1 As shown, the importance determination system for the high-speed rail line includes: terminal 101 and electronic equipment 102.

[0062] Terminal 101 can be at least one of the following devices: computer, independent physical server, server cluster consisting of multiple physical servers, etc. This application embodiment does not limit this.

[0063] In some embodiments, terminal 101 has a storage function. For example, terminal 101 stores route information of high-speed rail lines.

[0064] In some embodiments, terminal 101 has communication capabilities. For example, communication between terminal 101 and electronic device 102.

[0065] It should be noted that the number of terminals 101 can be one or more. This application embodiment does not limit this.

[0066] Electronic device 102 can be a computer, a standalone physical server, a server cluster consisting of multiple physical servers, or at least one of the following cloud servers that provide basic cloud computing services: cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks, and big data or artificial intelligence platforms. This application embodiment does not limit the scope of the application. Of course, electronic device 102 can also include other functions to provide more comprehensive and diversified services.

[0067] In some embodiments, the electronic device 102 has communication capabilities. For example, the electronic device 102 communicates with the terminal 101.

[0068] In other embodiments, the electronic device 102 has processing capabilities. For example, the electronic device 102 determines the line information of the high-speed rail line and the key performance indicators (KPIs) of the high-speed rail line's wireless network. Based on the line information and the KPIs of the high-speed rail line, the electronic device 102 determines the importance weight of the high-speed rail line, which is used to characterize the degree of importance of the high-speed rail line.

[0069] The electronic device 102 can be one or more, and this embodiment of the application does not limit this. For ease of understanding, Figure 1 Only one is shown in the image.

[0070] Terminal 101 and electronic device 102 are connected via a communication link. This communication link can be a wired communication link or a wireless communication link, and this embodiment does not limit it.

[0071] It should be noted that the various embodiments of this application can be referenced or learned from each other. For example, the same or similar steps, method embodiments, system embodiments and device embodiments can be referenced from each other without limitation.

[0072] Figure 2 This is a flowchart illustrating a method for determining the importance of a high-speed railway line, as provided in an embodiment of this application. Figure 2As shown, the method for determining the importance of this high-speed rail line includes the following steps: S201. Determine the route information of the high-speed rail line and the key performance indicators (KPIs) of the high-speed rail line's wireless network.

[0073] Among them, the KPIs of high-speed rail lines are used to characterize the network performance of high-speed rail lines.

[0074] For example, the electronic device stores route information for a high-speed rail line.

[0075] For example, electronic devices obtain high-speed rail line information through communication with a terminal.

[0076] In some embodiments, the route information of the aforementioned high-speed rail line includes at least one of the following: The areas traversed by the high-speed rail line, the gross domestic product (GDP) of the areas traversed by the high-speed rail line, the number of stops along the high-speed rail line, and the duration of stops along the high-speed rail line.

[0077] The GDP of the areas through which the high-speed rail line passes can refer to the total GDP of the areas through which the high-speed rail line passes, or it can refer to the per capita GDP of the areas through which the high-speed rail line passes. This application does not limit this.

[0078] In this way, the route information of the high-speed rail line can be clearly defined.

[0079] In some embodiments, the KPIs of high-speed rail lines are determined based on at least one of the following: (1) Air interface flow.

[0080] Air interface traffic refers to the actual amount of user plane data transmitted over the air interface. High air interface traffic indicates a high data load on the user plane, i.e., a high network load. Air interface traffic reflects the current network load, facilitating the subsequent determination of the importance weight of high-speed rail lines based on network load.

[0081] For example, throughput is determined based on air interface traffic, and KPIs are determined based on throughput. For instance, throughput is obtained based on the ratio of air interface traffic within a preset duration to the preset duration; then, KPIs are calculated from the throughput.

[0082] (2) Number of radio resource control (RRC) connections.

[0083] A high number of RRC connections indicates a high signaling load on the control plane, meaning a high network load. The number of RRC connections reflects the current network load, which helps in determining the importance weight of high-speed rail lines based on the network load.

[0084] For example, the RRC connection success rate, RRC connection failure rate, and RRC connection congestion rate are determined based on the number of RRC connections. KPIs are then determined based on these ratios.

[0085] (3) Physical resource block (PRB) utilization rate.

[0086] PRB utilization reflects the percentage of PRBs actually used to the total number of available PRBs. PRB utilization can be used to measure the busyness of physical resources and network load.

[0087] (4) Preset KPIs.

[0088] For example, the preset KPI can be a preset constant. For instance, the preset KPI can be 1, 1.5, 2, etc.

[0089] For example, in real-world application scenarios, there may be unexpected situations or temporary tasks, and operators can preset KPIs according to the actual situation.

[0090] In this way, KPIs can be determined in multiple ways, making the determined KPIs more closely match the actual situation.

[0091] S202. Based on the high-speed rail line information and the high-speed rail line KPIs, determine the importance weight of the high-speed rail line.

[0092] The importance weight is used to characterize the degree of importance of high-speed rail lines.

[0093] The method for determining the importance of high-speed rail lines provided in this application calculates the importance weight of high-speed rail lines based on their line information. It can calculate the importance of different high-speed rail lines in a differentiated manner, using the high-speed rail line as the smallest unit. The importance weight of high-speed rail lines can intuitively reflect the differences in communication networks of different high-speed rail lines, so as to provide differentiated protection for the communication services of different high-speed rail lines based on their importance weight, thereby improving the user experience.

[0094] The following is a summary of the above. Figure 2 The process of determining the importance weight in step S202 will be explained. In one possible implementation, the process of determining the importance weight in step S202 can be implemented by steps 11 to 14.

[0095] Step 11: Divide the high-speed rail line into sections according to the areas it passes through.

[0096] In some embodiments, the above-mentioned division of high-speed rail lines into sections according to the areas traversed by the high-speed rail lines includes any one of the following: (1) Divide the high-speed rail lines into sections according to the provinces they pass through.

[0097] For example, the high-speed rail line is divided into sections according to the provinces it passes through, with each province being considered as a section.

[0098] (2) Divide the high-speed rail line into sections according to the cities and prefectures through which it passes.

[0099] For example, the high-speed rail line is divided into sections according to the cities it passes through, with each city being considered as a section.

[0100] (3) Divide the high-speed rail line into sections according to the districts and counties through which it passes.

[0101] For example, the high-speed rail line is divided into sections according to the districts and counties it passes through, with each district and county being considered as a section.

[0102] (4) Divide the high-speed rail line into sections according to the preset area.

[0103] For example, the preset area can be divided according to latitude and longitude, or the preset area can be manually divided according to current business needs, and so on.

[0104] (5) Divide the high-speed rail line into sections according to the preset length.

[0105] In this way, the high-speed rail line can be divided into sections in multiple ways, so that the results of the section division can better meet business needs.

[0106] Step 12: Determine the KPI for each interval.

[0107] The KPIs for each interval are used to characterize the network load in each interval.

[0108] Understandably, the method for determining the KPI for each interval is the same as the method for determining the KPI for the high-speed rail line.

[0109] In some embodiments, the determination of the KPI for each interval is based on at least one of the following: (1) Air traffic volume of each interval.

[0110] (2) Number of Radio Resource Control (RRC) connections in each zone.

[0111] (3) Utilization rate of physical resource blocks (PRBs) in each interval.

[0112] (4) Preset KPIs.

[0113] Taking the determination of the KPI for each interval based on the air interface traffic and RRC connection number of each interval as an example, the calculation of the air interface traffic and RRC connection number of each interval includes, but is not limited to: summation, product, ratio, weighted summation, etc.

[0114] In this way, the KPIs for each interval can be determined in multiple ways, so that the determined KPIs can better match the actual situation.

[0115] Step 13: Based on the high-speed rail line information, determine the weight of the KPI for each section.

[0116] In some embodiments, the weight of the KPI for each interval is determined based on any of the following: (1) GDP for each interval.

[0117] For example, the GDP of each interval is determined as the weight of the KPI for that interval.

[0118] For example, when determining the weight of the KPI for each interval based on the GDP of each interval, the GDP can be the total GDP or the GDP per capita, and this application embodiment does not limit this.

[0119] (2) The number of stops in each section.

[0120] For example, the number of stops in each interval is determined as the weight of the KPI for each interval.

[0121] For example, when the number of stops in each interval is determined as the weight of the KPI for each interval, the weight of the above KPI satisfies the following formula 1.

[0122] Formula 1 In the formula, This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line; This represents the number of stops in the i-th section of the j-th high-speed rail line.

[0123] For example, the ratio of the number of stops in each section to the total number of stops on the high-speed rail line is used to determine the weight of the KPI for each section.

[0124] For example, when the ratio of the number of stops in each interval to the total number of stops on the high-speed rail line is used to determine the weight of the KPI for each interval, the weight of the above KPI satisfies the following formula 2.

[0125] Formula 2 In the formula, This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line; This represents the number of sections on the j-th high-speed rail line; This represents the ratio of the number of stops in the i-th section of the j-th high-speed rail line to the total number of stops on the high-speed rail line.

[0126] (3) Stop duration for each section.

[0127] For example, the stop duration for each interval is determined as the weight of the KPI for each interval.

[0128] For example, when the stop duration of each interval is determined as the weight of the KPI for each interval, the weight of the above KPI satisfies the following formula 3.

[0129] Formula 3 In the formula, This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line; This represents the dwell time of the i-th section of the j-th high-speed rail line.

[0130] For example, the ratio of the dwell time of each interval to the total dwell time of the high-speed rail line is used to determine the weight of the KPI for each interval.

[0131] For example, when the ratio of the dwell time of each interval to the total dwell time of the high-speed rail line is used to determine the weight of the KPI for each interval, the weight of the above KPI satisfies the following formula 4.

[0132] Formula 4 In the formula, This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line; This represents the number of sections on the j-th high-speed rail line; This represents the ratio of the dwell time of the i-th section of the j-th high-speed rail line to the total dwell time of the high-speed rail line.

[0133] (4) Preset weight values.

[0134] For example, preset weight values ​​are determined as the weights of KPIs for each interval.

[0135] For example, when a preset weight value is determined as the weight of the KPI for each interval, the weight of the KPI for each interval can be any value greater than or equal to 0.

[0136] In this way, the weights corresponding to KPIs can be determined in multiple ways, and each high-speed rail line can be measured differently, making the final importance weights more accurate.

[0137] Step 14: Determine the importance weight of high-speed rail lines based on the KPI and KPI weight of each interval.

[0138] For example, the importance weight of the high-speed rail line is obtained by weighted summation based on the KPI and the weight of each interval.

[0139] In some embodiments, the above importance weights satisfy the following formula 5.

[0140] Formula 5 In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line.

[0141] In this way, the calculation method for importance weights can be clearly defined.

[0142] For another example, the importance weight of high-speed rail lines can be determined by weighted averaging based on the KPIs and weights of each interval.

[0143] In some embodiments, the above importance weights satisfy the following formula 6.

[0144] Formula 6 In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line. This represents the line parameters, which are related to the number of sections of the high-speed rail line.

[0145] In this way, the calculation method for importance weights can be clearly defined.

[0146] In some embodiments, the above-mentioned line parameters are determined in the following ways: the line parameters corresponding to the number of sections of the high-speed rail line are determined according to a first mapping relationship, the first mapping relationship being used to characterize the correspondence between the number of sections and the line parameters; or, preset parameter values ​​are determined as line parameters.

[0147] For example, the number of sections for each high-speed rail line corresponds to a line parameter.

[0148] For example, the number of sections of the high-speed rail line is compared with the given number of sections. When the number of sections of the high-speed rail line falls into a certain section, the line parameters corresponding to that section are used as the final line parameters.

[0149] For example, Table 1 is an example table of a first mapping relationship provided in an embodiment of this application.

[0150] Table 1

[0151] For example, when a preset parameter value is determined as a line parameter, the preset parameter value can be a constant greater than 0. For example, the line parameter could be 1, 1.5, etc.

[0152] In this way, by clarifying the methods for determining line parameters through multiple approaches, the determined line parameters can meet various different actual situations.

[0153] After dividing the high-speed rail lines into sections, the importance weight of each high-speed rail line is obtained by weighted summation based on the network load of each section and its corresponding weight. This clarifies the method for determining the importance weight, ensuring that the determined importance weight fully considers the differences between high-speed rail lines, making the determined importance weight of high-speed rail lines more accurate, thereby improving network reliability and resource utilization.

[0154] also, Figure 3 A flowchart illustrating another method for determining the importance of a high-speed rail line provided in this application embodiment. Figure 3 As shown, after step S202, the method further includes: S203. Determine the network optimization strategy for high-speed rail lines based on importance weights.

[0155] The network optimization strategies include at least one of the following: adjusting the network expansion threshold, adjusting the network plan, and whether to enable high-speed rail network functions.

[0156] In some embodiments, the above-mentioned network optimization strategy for determining high-speed rail lines based on importance weights includes: determining the network optimization strategy corresponding to the importance weights according to the second mapping relationship.

[0157] The second mapping relationship is used to characterize the correspondence between importance weights and network optimization strategies.

[0158] For example, adjusting network planning can involve adjusting the number of sites, the distance between sites, the selection of equipment, and so on.

[0159] For example, high-speed rail network functions can refer to functions unique to the high-speed rail network (such as dedicated Wi-Fi service on high-speed trains), or they can refer to functions common to the high-speed rail network (such as communication access services).

[0160] For example, the second mapping relationship can refer to which one or more specific network optimization strategies correspond to the importance weight. For instance, when the importance weight is 1, the corresponding network optimization strategy determined according to the second mapping relationship is adjusting the network expansion threshold. As another example, when the importance weight is 2, the corresponding network optimization strategies determined according to the second mapping relationship are adjusting the network expansion threshold and adjusting network planning.

[0161] For example, the second mapping relationship can refer to the correspondence between importance weights and network expansion thresholds, adjusting network planning, and whether or not to open high-speed rail network functions, among other network optimization strategies.

[0162] Taking network optimization strategies, including adjusting network expansion thresholds, as an example, during the initial network planning and testing process, the network expansion threshold values ​​required for different importance weights are tested and adjusted. A second mapping relationship is obtained based on the test and adjustment results. After determining the importance weights of the high-speed rail line, the corresponding network expansion threshold values ​​can be obtained according to the second mapping relationship.

[0163] For example, the importance weight is divided into several intervals, and each interval corresponds to a network expansion threshold. After determining the importance weight of the high-speed rail line, the network expansion threshold of the high-speed rail line can be determined according to the interval in which the importance weight of the high-speed rail line is located.

[0164] In this way, the network optimization strategy corresponding to the importance weight can be determined conveniently and quickly based on the second mapping relationship, thereby improving the decision-making efficiency of high-speed rail line network optimization.

[0165] Based on the aforementioned method for determining the importance of high-speed rail lines, the importance weight of each line can be calculated using its route information, thus differentiatedly reflecting the varying degrees of importance of different high-speed rail lines. Furthermore, different high-speed rail lines differ in strategic importance, transport load, safety requirements, and economic and social value. High-importance lines not only bear greater responsibility for transport safety, larger passenger and freight volumes, and stronger economic and defense value, but also require more optimized operation of their communication networks. Determining network optimization strategies based on the importance of high-speed rail lines enables differentiated determination of network optimization strategies within the high-speed rail network scenario, avoiding a one-size-fits-all approach. This allows for precise optimization of the high-speed rail network, providing differentiated guarantees for communication services, meeting user needs while avoiding the waste of spectrum resources. By utilizing information such as high-speed rail line data, air interface traffic, RRC connection count, and PRB utilization, precise and effective optimization of the high-speed rail network can be achieved. This can improve spectrum utilization and ensure that operators can invest limited bandwidth resources in higher-value high-speed rail network optimization. It can be applied to the refined implementation of capacity expansion criteria in high-speed rail scenarios, increasing the implementation dimensions of the solution and achieving differentiated guarantee of communication services.

[0166] This application embodiment can divide the high-speed rail line importance determination device into functional modules or functional units according to the above method example. For example, each function can be divided into its own functional modules or functional units, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or in software functional modules or functional units. The module or unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0167] Figure 4 This application provides a schematic diagram of the structure of a high-speed rail line importance determination device 40, which includes: The first determining unit 401 is used to determine the line information of the high-speed rail line and the key performance indicators (KPIs) of the high-speed rail line's wireless network; the second determining unit 402 is used to determine the importance weight of the high-speed rail line based on the line information and the KPIs of the high-speed rail line, and the importance weight is used to characterize the degree of importance of the high-speed rail line.

[0168] In one possible implementation, the KPIs of the high-speed rail line are determined based on at least one of the following: air interface traffic; number of Radio Resource Control (RRC) connections; physical resource block (PRB) utilization rate; and preset KPIs.

[0169] In one possible implementation, the route information of the high-speed rail line includes at least one of the following: the area through which the high-speed rail line passes, the GDP of the area through which the high-speed rail line passes, the number of stops along the high-speed rail line, and the duration of stops along the high-speed rail line.

[0170] In one possible implementation, the second determining unit 402 is used to: divide the high-speed rail line into sections according to the areas it passes through; determine the key performance indicators (KPIs) of the wireless network for each section; determine the weight of the KPIs for each section based on the line information of the high-speed rail line; and determine the importance weight of the high-speed rail line based on the KPIs and the weights of the KPIs for each section.

[0171] In one possible implementation, the weight of the KPI for each interval is determined based on any of the following: GDP for each interval; number of stops for each interval; stop duration for each interval; or a preset weight value.

[0172] In one possible implementation, the importance weight of high-speed rail lines satisfies the following formula:

[0173] In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line.

[0174] In one possible implementation, the importance weight of high-speed rail lines satisfies the following formula:

[0175] In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections on the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line. This represents the line parameters, which are related to the number of sections of the high-speed rail line.

[0176] In one possible implementation, the third determining unit is used to: determine the line parameters corresponding to the number of sections of the high-speed rail line according to the first mapping relationship, the first mapping relationship being used to characterize the correspondence between the number of sections and the line parameters; or, determine the preset parameter values ​​as line parameters.

[0177] In one possible implementation, the device further includes: a fourth determining unit, used to determine a network optimization strategy for the high-speed rail line based on importance weights, wherein the network optimization strategy includes at least one of adjusting the network expansion threshold, adjusting the network planning, and whether to activate the high-speed rail network function.

[0178] In one possible implementation, the fourth determining unit is used to: determine the network optimization strategy corresponding to the importance weights according to the second mapping relationship, wherein the second mapping relationship is used to characterize the correspondence between the importance weights and the network optimization strategy.

[0179] Through the above description of the embodiments, those skilled in the art will clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0180] When implemented in hardware, the various modules of the high-speed rail line importance determination device can be integrated into, for example... Figure 5 The hardware structure of the device for determining the importance of the high-speed railway line shown is implemented. Specifically, as... Figure 5 As shown, the basic hardware structure of the device for determining the importance of high-speed railway lines is introduced.

[0181] Figure 5 This is a schematic diagram of the hardware structure of a device for determining the importance of a high-speed railway line, provided as an embodiment of this application. Figure 5 As shown, the high-speed rail line importance determination device includes at least one processor 501, a communication line 502, and at least one communication interface 504, and may also include a memory 503. The processor 501, memory 503, and communication interface 504 are connected via the communication line 502.

[0182] The processor 501 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application, such as one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs).

[0183] Communication line 502 may include a path for transmitting information between the aforementioned components.

[0184] The communication interface 504 is used to communicate with other devices or communication networks. It can use any transceiver-like device, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0185] The memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of including or storing desired program code having the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0186] In one possible design, the memory 503 can exist independently of the processor 501, meaning the memory 503 can be an external memory of the processor 501. In this case, the memory 503 can be connected to the processor 501 via a communication line 502 to store execution instructions or application code, and its execution is controlled by the processor 501 to implement the method for determining the importance of high-speed rail lines provided in the following embodiments of this application. In another possible design, the memory 503 can also be integrated with the processor 501, meaning the memory 503 can be an internal memory of the processor 501. For example, the memory 503 can be a cache, used to temporarily store some data and instruction information.

[0187] As one possible implementation, processor 501 may include one or more CPUs, for example Figure 5 CPU0 and CPU1 in the example. As another possible implementation, the high-speed rail line importance determination device may include multiple processors, such as... Figure 5 The processors 501 and 507 are included. As another possible implementation, the high-speed rail line importance determination device may also include an output device 505 and an input device 506.

[0188] This application provides a computer program product containing instructions that, when run on a computer, cause the computer to execute the method for determining the importance of high-speed railway lines described in the above method embodiments.

[0189] This application also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method for determining the importance of high-speed rail lines in the method flow shown in the above method embodiments.

[0190] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires; a portable computer disk drive; a hard disk drive; random access memory (RAM); read-only memory (ROM); erasable programmable read-only memory (EPROM); a register; a hard disk drive; an optical fiber; a compact disc read-only memory (CD-ROM); an optical storage device; a magnetic storage device; or any suitable combination thereof; or any other form of computer-readable storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may reside in an application-specific integrated circuit (ASIC). In the embodiments of this application, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0191] Since the high-speed rail line importance determination device, computer-readable storage medium, and computer program product in the embodiments of this application can be applied to the above method, the technical effects that can be obtained can also be referred to the above method embodiments, and the embodiments of this application will not be repeated here.

[0192] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0193] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0194] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0195] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for determining the importance of a high-speed railway line, characterized in that, The method includes: Determine the route information of the high-speed rail line and the key performance indicators (KPIs) of the wireless network of the high-speed rail line. Based on the route information and KPIs of the high-speed rail line, the importance weight of the high-speed rail line is determined, and the importance weight is used to characterize the degree of importance of the high-speed rail line.

2. The method according to claim 1, characterized in that, The KPIs for the high-speed rail line are determined based on at least one of the following: Air interface traffic; The number of RRC connections controlled by Radio Resource Control (RRC). Physical Resource Block (PRB) utilization rate; Preset KPIs.

3. The method according to claim 1, characterized in that, The route information of the high-speed rail line includes at least one of the following: The high-speed rail line passes through the region, the GDP of the region through which the high-speed rail line passes, the number of stops along the high-speed rail line, and the duration of stops along the high-speed rail line.

4. The method according to claim 3, characterized in that, The determination of the importance weight of the high-speed rail line based on the line information of the high-speed rail line includes: The high-speed rail line is divided into sections according to the areas it passes through; Determine the KPI for each interval; Based on the route information of the high-speed rail line, the weight of the KPI for each section is determined; The importance weight of the high-speed rail line is determined based on the KPI of each interval and the weight of the KPI.

5. The method according to claim 4, characterized in that, The weight of the KPI for each interval is determined based on any of the following: GDP for each of the intervals; The number of stops in each section; The stop duration for each section; Preset weight values.

6. The method according to claim 4, characterized in that, The importance weight of the high-speed rail line satisfies the following formula: In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections of the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line.

7. The method according to claim 4, characterized in that, The importance weight of the high-speed rail line satisfies the following formula: In the formula, This represents the importance weight of the j-th high-speed rail line. This represents the number of sections of the j-th high-speed rail line. This represents the weight of the KPI for the i-th interval of the j-th high-speed rail line. This represents the KPI of the i-th section of the j-th high-speed rail line. This refers to the line parameters, which are related to the number of sections of the high-speed rail line.

8. The method according to claim 7, characterized in that, The line parameters are determined in the following way: The line parameters corresponding to the number of sections of the high-speed rail line are determined according to the first mapping relationship, wherein the first mapping relationship is used to characterize the correspondence between the number of sections and the line parameters; or, The preset parameter values ​​are determined as the line parameters.

9. The method according to claim 1, characterized in that, The method further includes: The network optimization strategy for the high-speed rail line is determined based on the importance weight. The network optimization strategy includes at least one of the following: adjusting the network expansion threshold, adjusting the network planning, and whether to enable the high-speed rail network function.

10. The method according to claim 9, characterized in that, The network optimization strategy for the high-speed rail line determined based on the importance weight includes: The network optimization strategy corresponding to the importance weight is determined according to the second mapping relationship, which is used to characterize the correspondence between the importance weight and the network optimization strategy.

11. A device for determining the importance of a high-speed railway line, characterized in that, The device includes: The first determining unit is used to determine the line information of the high-speed railway line and the key performance indicators (KPIs) of the wireless network of the high-speed railway line. The second determining unit is used to determine the importance weight of the high-speed rail line based on the line information and the KPI of the high-speed rail line. The importance weight is used to characterize the degree of importance of the high-speed rail line.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed by a computer, perform the method as described in any one of claims 1-10.

13. A computer program product, characterized in that, The computer program product includes computer instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1-10.

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