Network deployment scheme determination method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of wireless networks, in particular to a network deployment scheme determination method and device, computer equipment and a storage medium. The method comprises the following steps: performing simulation network coverage on a to-be-optimized area according to an initial network deployment scheme, and obtaining network coverage parameters of a key area in the to-be-optimized area; determining a network quality score corresponding to the key area according to the network coverage parameter of the key area; and determining a target network deployment scheme of the to-be-optimized region according to the network quality score and the initial network deployment scheme. In the process of determining the target network deployment scheme of the to-be-optimized area, targeted network deployment optimization is carried out on the key area according to the network quality score corresponding to the key area, it is ensured that adaptive adjustment is carried out on the network deployment scheme of the to-be-optimized area according to the actual embodiment of a user, and the network deployment efficiency is improved. The network use experience of the user in the key area is optimized, and key optimization of the key area in the to-be-optimized area is realized.

Description

Technical Field

[0001] The present application relates to the field of wireless network technology, and in particular to a method, apparatus, computer equipment and storage medium for determining a network deployment solution. Background Art

[0002] With the rapid development of wireless communication technology and the popularization of smart devices, indoor wireless networks have become an indispensable part of people's lives. Wireless networks need to be deployed in homes, offices, shopping malls and other places to meet users' needs for network connections.

[0003] However, traditional indoor wireless network deployment solutions usually take signal coverage as the main optimization goal, striving to provide signal coverage in the largest possible area. However, this approach ignores the actual user experience, resulting in poor signal quality in some areas, affecting user experience. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment and storage medium for determining a network deployment solution that can ensure the quality of an indoor wireless network in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for determining a network deployment solution. The method comprises:

[0006] According to the initial network deployment plan, simulate network coverage in the area to be optimized to obtain network coverage parameters of key areas in the area to be optimized;

[0007] Determining a network quality score corresponding to the key area according to the network coverage parameter of the key area;

[0008] A target network deployment plan for the area to be optimized is determined according to the network quality score and the initial network deployment plan.

[0009] In one of the embodiments, determining the target network deployment plan for the area to be optimized according to the network quality score and the initial network deployment plan includes:

[0010] In the case where the network quality score does not meet the network quality condition, optimizing the initial network deployment plan, using the optimized initial network deployment plan as a new initial network deployment plan, and returning to perform an operation of simulating network coverage of the area to be optimized according to the initial network deployment plan;

[0011] When the network quality score satisfies the network quality condition, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0012] In one of the embodiments, simulating network coverage of the area to be optimized according to the initial network deployment plan to obtain network coverage parameters of key areas in the area to be optimized includes:

[0013] Constructing a three-dimensional simulation scene corresponding to the area to be optimized according to the physical structure information of the area to be optimized;

[0014] According to the initial network deployment plan, simulated network coverage is performed on the three-dimensional simulation scene to obtain network coverage parameters of key areas in the area to be optimized.

[0015] In one embodiment, constructing a three-dimensional simulation scene corresponding to the area to be optimized according to the physical structure information of the area to be optimized includes:

[0016] According to the physical structure information of the area to be optimized, construct an initial simulation scene corresponding to the area to be optimized;

[0017] According to the physical property information corresponding to the area to be optimized, the scene parameters of the initial simulation scene are adjusted to obtain a three-dimensional simulation scene; wherein the scene parameters include size parameters and material parameters of obstacles in the area to be optimized.

[0018] In one of the embodiments, determining the network quality score corresponding to the key area according to the network coverage parameter of the key area includes:

[0019] Determine a network quality scoring strategy corresponding to the network coverage parameter;

[0020] A network quality score corresponding to the key area is determined according to the network quality scoring strategy and the network coverage parameter of the key area.

[0021] In one of the embodiments, the network coverage parameter includes at least one network coverage sub-parameter; the network quality scoring strategy includes a scoring sub-strategy for each of the network coverage sub-parameters;

[0022] The determining, according to the network quality scoring strategy and the network coverage parameter of the key area, a network quality score corresponding to the key area includes:

[0023] Scoring the corresponding network coverage sub-parameter according to each scoring sub-strategy to obtain a quality sub-score corresponding to the corresponding network coverage sub-parameter;

[0024] The network quality score corresponding to the key area is determined according to the quality sub-score corresponding to each of the network coverage sub-parameters.

[0025] In one of the embodiments, determining the network quality score corresponding to the key area according to the quality sub-score corresponding to each of the network coverage sub-parameters includes:

[0026] Determining the influence weight of each of the network coverage sub-parameters;

[0027] The network quality score corresponding to the key area is determined according to the influence weight and the quality sub-score of each of the network coverage sub-parameters.

[0028] In a second aspect, the present application further provides a network deployment solution determination device. The device comprises:

[0029] A coverage module, used to simulate network coverage of the area to be optimized according to the initial network deployment plan, and obtain network coverage parameters of key areas in the area to be optimized;

[0030] A first determination module, configured to determine a network quality score corresponding to the key area according to the network coverage parameter of the key area;

[0031] The second determination module is used to determine the target network deployment plan for the area to be optimized according to the network quality score and the initial network deployment plan.

[0032] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0033] According to the initial network deployment plan, simulate network coverage in the area to be optimized to obtain network coverage parameters of key areas in the area to be optimized;

[0034] Determining a network quality score corresponding to the key area according to the network coverage parameter of the key area;

[0035] A target network deployment plan for the area to be optimized is determined according to the network quality score and the initial network deployment plan.

[0036] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0037] According to the initial network deployment plan, simulate network coverage in the area to be optimized to obtain network coverage parameters of key areas in the area to be optimized;

[0038] Determining a network quality score corresponding to the key area according to the network coverage parameter of the key area;

[0039] A target network deployment plan for the area to be optimized is determined according to the network quality score and the initial network deployment plan.

[0040] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0041] According to the initial network deployment plan, simulate network coverage in the area to be optimized to obtain network coverage parameters of key areas in the area to be optimized;

[0042] Determining a network quality score corresponding to the key area according to the network coverage parameter of the key area;

[0043] A target network deployment plan for the area to be optimized is determined according to the network quality score and the initial network deployment plan.

[0044] The above-mentioned network deployment scheme determination method, device, computer equipment and storage medium, by obtaining the network coverage parameters of the key area in the area to be optimized, realizes determining the network quality score corresponding to the key area according to the network coverage parameters; and then, according to the network quality score and the initial network deployment plan, determines the target network deployment plan for the area to be optimized. According to the above content, in the process of determining the target network deployment plan for the area to be optimized, the application will realize targeted network deployment optimization for the key area according to the network quality score corresponding to the key area, ensure that the network deployment plan for the area to be optimized is adaptively adjusted according to the actual performance of the user, optimize the user's network usage experience in the key area, and realize key optimization for the key area in the area to be optimized; and, according to the initial network deployment plan, simulate network coverage for the area to be optimized, realize efficient acquisition of network coverage parameters for the key area in the area to be optimized, ensure real-time optimization needs for the area to be optimized, and, by simulating network coverage for the area to be optimized, realize combining the spatial information of the area to be optimized in the process of obtaining network coverage parameters, ensure that the network coverage parameters can accurately reflect the actual user experience of the user in the area to be optimized, and further guarantee the network optimization effect of the subsequent target network deployment plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 An application environment diagram of a method for determining a network deployment solution provided by an embodiment of the present application;

[0046] Figure 2 A schematic diagram of a flow chart of a first network deployment solution determination method provided in an embodiment of the present application;

[0047] Figure 3A flowchart of a second method for determining a network deployment solution provided in an embodiment of the present application;

[0048] Figure 4 A schematic diagram of a flow chart of a third method for determining a network deployment solution provided in an embodiment of the present application;

[0049] Figure 5 A schematic diagram of a flow chart of a fourth method for determining a network deployment solution provided in an embodiment of the present application;

[0050] Figure 6 A flowchart of a fifth method for determining a network deployment solution provided in an embodiment of the present application;

[0051] Figure 7 A structural block diagram of a network deployment solution determination device provided in an embodiment of the present application;

[0052] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] The network deployment scheme determination method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. By obtaining the network coverage parameters of the key areas in the area to be optimized, the network quality score corresponding to the key area is determined according to the network coverage parameters; then, according to the network quality score and the initial network deployment plan, the target network deployment plan for the area to be optimized is determined. Among them, the terminal 102 can be but is not limited to various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0055] In one embodiment, Figure 2 As shown, a method for determining a network deployment solution is provided, and the method is applied to Figure 1 The terminal 102 in the example is used as an example to illustrate, and the following steps are included:

[0056] S201, simulating network coverage of the area to be optimized according to the initial network deployment plan, and obtaining network coverage parameters of key areas in the area to be optimized.

[0057] The initial network deployment plan includes settings for parameters such as wireless network antenna position, wireless network transmission power, and transmission power.

[0058] It should be noted that when it is necessary to simulate the network coverage of the area to be optimized and obtain the network coverage parameters of the key areas in the area to be optimized, a three-dimensional simulation scene for the area to be optimized can be constructed in advance, and then the network coverage of the three-dimensional simulation scene can be simulated through the initial network deployment plan. Based on the coordinate positions corresponding to the key areas in the three-dimensional simulation scene and the simulation results, the network coverage parameters of the key areas can be inferred.

[0059] The network coverage parameters may include but are not limited to signal strength, packet loss rate, delay, jitter rate and other parameters.

[0060] It is further explained that in order to ensure that the constructed three-dimensional simulation scene can accurately reflect the actual situation of the area to be optimized, the physical structure information and physical property information of the area to be optimized can be obtained before the process of constructing the three-dimensional simulation scene, and then, based on the physical structure information and physical property information, the three-dimensional simulation scene can be constructed for the area to be optimized.

[0061] Among them, physical structure information refers to the obstacle position information corresponding to immovable obstacles such as walls, doors and windows in the area to be optimized, as well as movable obstacles such as sofas and refrigerators; physical property information refers to the material information corresponding to immovable obstacles such as walls, doors and windows in the area to be optimized, as well as movable obstacles such as sofas and refrigerators.

[0062] In one embodiment of the present application, when it is necessary to obtain network coverage parameters of a key area in the area to be optimized, if it is a residential area of ​​a user in the area to be optimized, the physical structure information and physical property information of the area to be optimized are determined based on the indoor floor plan of the residential area, and then a three-dimensional simulation scene is constructed based on the physical structure information and physical property information of the area to be optimized; the user can check and adjust the constructed three-dimensional simulation scene to ensure that the three-dimensional simulation scene can accurately reflect the actual situation of the area to be optimized; the key area selected by the user from the area to be optimized is obtained, and, in the three-dimensional simulation scene, the scene coordinates corresponding to the key area are determined, and then, based on the scene coordinates combined with the simulation results, the network coverage parameters of the key area are inferred.

[0063] S202: Determine a network quality score corresponding to the key area according to the network coverage parameters of the key area.

[0064] It should be noted that in order to ensure the user's network usage experience in key areas, it is necessary to pre-set a network quality scoring strategy for the network coverage parameters of key areas, and then determine the network quality score corresponding to the key area based on the network quality scoring strategy and the network coverage parameters of the key areas.

[0065] In one embodiment of the present application, the network quality scoring strategy may record a coverage parameter threshold corresponding to the network coverage parameter, and obtain the parameter difference by performing a difference operation on the network coverage parameter and the coverage parameter threshold; the network quality scoring strategy may also record different candidate quality scores corresponding to different candidate difference values. After determining the parameter difference, the candidate difference value among the candidate difference values ​​that is the same as the parameter difference value may be used as the target difference value, and the candidate quality score corresponding to the target difference value may be used as the network quality score corresponding to the key area.

[0066] In another embodiment of the present application, if the network coverage parameter includes at least one network coverage sub-parameter, the network quality scoring strategy may record the coverage parameter thresholds corresponding to each network coverage sub-parameter, determine the parameter difference between each network coverage sub-parameter and the corresponding coverage parameter threshold, and the network quality scoring strategy may also record different candidate quality scores corresponding to different candidate difference values. According to the correspondence between the candidate difference values ​​and the candidate quality scores, the quality sub-scores of each network coverage sub-parameter are determined, and the quality sub-scores of each network coverage sub-parameter are summed to obtain the network quality score corresponding to the key area.

[0067] Further explanation: in order to make the network quality score more fully and accurately reflect the actual network conditions of the area to be optimized, at least one detection area can be randomly selected from the non-critical area of ​​the area to be optimized in the process of determining the network quality score, and the network coverage parameters of each detection area can be obtained. Then, based on the network coverage parameters of each detection area and the network coverage parameters of the key area, the network quality score corresponding to the key area can be determined.

[0068] In one embodiment of the present application, a network quality scoring strategy for network coverage parameters can be pre-set, and then, according to the network quality scoring strategy, a first quality score for the key area and a second quality score for the detection area are determined respectively, and then, based on the first quality score and the second quality score, a network quality score that reflects the actual network situation of the area to be optimized is determined.

[0069] As an implementation method, a sum operation may be performed on the first quality score and the second quality score, and the result obtained is a network quality score reflecting the actual network condition of the area to be optimized.

[0070] As another implementation manner, the influence weights corresponding to the first quality score and the second quality score may be determined respectively, and then the first quality score and the second quality score may be weighted according to the influence weights to obtain a network quality score reflecting the actual network situation of the area to be optimized.

[0071] S203: Determine a target network deployment plan for the area to be optimized based on the network quality score and the initial network deployment plan.

[0072] In one embodiment of the present application, it can be determined whether the network quality score meets the network quality conditions, and then, based on the judgment result corresponding to the network quality score, the target network deployment plan for the area to be optimized is determined in different forms.

[0073] As an example, the network quality condition may include a network quality score threshold. Furthermore, when determining whether the network quality score meets the network quality condition, it may be determined whether the network quality score is greater than the network quality score threshold. If so, it is determined that the network quality score meets the network quality condition; if not, it is determined that the network quality score does not meet the network quality condition.

[0074] Specifically, it is possible to respectively determine a first method for obtaining a target network deployment plan when the network quality score meets the network quality conditions, and a second method for obtaining a target network deployment plan when the network quality score does not meet the network quality conditions; then, based on the judgment result corresponding to the network quality score, select a target method from the first method and the second method, and then determine the target network deployment plan for the area to be optimized based on the target method.

[0075] In one embodiment of the present application, a user interaction screen may be set, and then a three-dimensional simulation scene may be displayed in the user interaction screen, and different colors may be used in the three-dimensional simulation scene to indicate the values ​​of network coverage parameters such as signal strength, delay, and jitter in different areas; and parameters such as the position of the wireless antenna and the transmission power of the wireless antenna may be marked. The quality of the user experience is indicated by the depth of color, and the user can intuitively see which areas of the network experience need to be improved. In addition, the changes in the user network quality score before and after the optimization are displayed in the form of a chart, so that the user can intuitively understand the optimization effect; and then, the user can fine-tune the visual display results through the user interaction screen, such as adjusting the antenna position or adding a new antenna. It supports users to virtually roam in a three-dimensional simulation scene and experience the network experience immersively.

[0076] The above-mentioned network deployment scheme determination method obtains the network coverage parameters of the key areas in the area to be optimized, and determines the network quality score corresponding to the key areas according to the network coverage parameters; then, determines the target network deployment scheme for the area to be optimized according to the network quality score and the initial network deployment scheme. According to the above content, in the process of determining the target network deployment scheme for the area to be optimized, the application will realize targeted network deployment optimization for the key areas according to the network quality score corresponding to the key areas, ensuring that the network deployment scheme for the area to be optimized is adaptively adjusted according to the actual performance of the user, optimizing the network usage experience of the user in the key areas, and realizing key optimization for the key areas in the area to be optimized; and, according to the initial network deployment plan, simulated network coverage is performed on the area to be optimized, realizing efficient acquisition of network coverage parameters for the key areas in the area to be optimized, ensuring the real-time optimization needs for the area to be optimized, and, by simulating network coverage on the area to be optimized, it is realized that in the process of obtaining network coverage parameters, the spatial information of the area to be optimized is combined, ensuring that the network coverage parameters can accurately reflect the actual user experience of the user in the area to be optimized, and further guaranteeing the network optimization effect of the subsequent target network deployment scheme.

[0077] In one embodiment, if Figure 3 As shown, when it is necessary to determine the target network deployment plan for the area to be optimized based on the network quality score and the initial network deployment plan, the following contents may be specifically included:

[0078] S301, when the network quality score does not meet the network quality conditions, optimize the initial network deployment plan, use the optimized initial network deployment plan as the new initial network deployment plan, and return to execute the operation of simulating network coverage of the area to be optimized according to the initial network deployment plan.

[0079] It should be noted that if the network quality conditions include a network quality score threshold, then when judging whether the network quality score meets the network quality conditions, it can be judged whether the network quality score is greater than the network quality score threshold. If it is greater, it is determined that the network quality score meets the network quality conditions; if it is not greater, it is determined that the network quality score does not meet the network quality conditions.

[0080] Therefore, when the network quality score does not meet the network quality conditions, that is, when the network quality score is not greater than the network quality score threshold, the initial network deployment plan is optimized, and the optimized initial network deployment plan is used as the new initial network deployment plan, and the operation of simulating network coverage of the optimized area is returned to be executed according to the initial network deployment plan.

[0081] In one embodiment of the present application, when the initial network deployment plan needs to be optimized, the network deployment optimization model can be pre-trained, and then the network quality score and the initial network deployment plan are input into the network deployment optimization model, and the output result of the network deployment optimization model is obtained, and the output result is the optimized initial network deployment plan.

[0082] Among them, the training process of the network deployment optimization model includes pre-acquiring at least one sample network deployment plan and the sample quality square corresponding to each sample network deployment plan, optimizing each sample network deployment plan through manual labeling, and training the initial optimization model according to the optimized sample network deployment plans and sample quality squares to obtain a trained network deployment optimization model.

[0083] In another embodiment of the present application, when the initial network deployment plan needs to be optimized, the initial network deployment plan can be fed back to the terminal device of the wireless network operation and maintenance personnel, so that the wireless network operation and maintenance personnel can optimize the initial network deployment plan through the terminal device, thereby obtaining an optimized initial network deployment plan.

[0084] S302: When the network quality score satisfies the network quality condition, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0085] It should be noted that if the network quality condition is that the initial network deployment plan is not the deployment plan determined in the first round, it can be verified whether the difference between the network quality score of the initial network deployment plan determined in this round and the network quality score of the initial network deployment plan in the previous round is greater than the difference threshold. If it is greater, it is determined that the network quality score meets the network quality condition; if not, it is determined that the network quality score does not meet the network quality condition.

[0086] In one embodiment of the present application, since the network quality score meets the network quality conditions, it can be determined that the initial network deployment plan determined in this round can meet the user's network quality requirements, and the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0087] The above-mentioned network deployment plan determination method can effectively obtain the target network deployment plan for the area to be optimized by determining the two situations that the network quality score does not meet the network quality conditions and the network quality score meets the network quality conditions, and realize targeted network deployment optimization for key areas, thereby ensuring adaptive adjustment of the network deployment plan for the area to be optimized according to the actual performance of users, optimizing the network usage experience of users in key areas, and realizing key optimization of key areas in the area to be optimized.

[0088] In one embodiment, if Figure 4 As shown, when simulating network coverage of the area to be optimized according to the initial network deployment plan to obtain network coverage parameters of key areas in the area to be optimized, the following contents may be specifically included:

[0089] S401, constructing a three-dimensional simulation scene corresponding to the area to be optimized according to the physical structure information of the area to be optimized.

[0090] Among them, the physical structure information refers to the obstacle location information corresponding to immovable obstacles such as walls, doors and windows in the area to be optimized, as well as movable obstacles such as sofas and refrigerators.

[0091] In one embodiment of the present application, when it is necessary to construct a three-dimensional simulation scene corresponding to the area to be optimized, if the area to be optimized is the residential area of ​​the user, information is extracted from the indoor floor plan of the residential area based on image recognition technology to obtain the physical structure information and physical property information of the area to be optimized, and then, based on the physical property information, a three-dimensional modeling engine is used to obtain the three-dimensional simulation scene corresponding to the area to be optimized.

[0092] In one embodiment of the present application, when it is necessary to construct a three-dimensional simulation scene corresponding to the area to be optimized based on the physical structure information of the area to be optimized, it may specifically include the following contents: construct an initial simulation scene corresponding to the area to be optimized based on the physical structure information of the area to be optimized; adjust the scene parameters of the initial simulation scene based on the physical property information corresponding to the area to be optimized to obtain a three-dimensional simulation scene; wherein the scene parameters include size parameters and material parameters of obstacles in the area to be optimized.

[0093] Among them, the physical property information refers to the corresponding material information of immovable obstacles such as walls, doors and windows in the area to be optimized, as well as movable obstacles such as sofas and refrigerators.

[0094] S402, simulating network coverage of the three-dimensional simulation scene according to the initial network deployment plan to obtain network coverage parameters of key areas in the area to be optimized.

[0095] In one embodiment of the present application, when it is necessary to simulate network coverage of a three-dimensional simulation scene according to an initial network deployment plan, a simplified ray tracing method can be used to achieve simulated network coverage of the three-dimensional simulation scene, and then, the network coverage parameters of key areas in the area to be optimized are calculated.

[0096] The above-mentioned method for determining the network deployment plan, by constructing a three-dimensional simulation scene corresponding to the area to be optimized, realizes the simulation of network coverage of the three-dimensional simulation scene according to the initial network deployment plan, ensures that the initial network deployment plan can be optimized according to the network coverage parameters in the subsequent process, provides a data basis for the subsequent process, and ensures that the target network deployment plan of the area to be optimized can be smoothly determined. In addition, according to the initial network deployment plan, the network coverage of the area to be optimized is simulated, and the network coverage parameters of the key areas in the area to be optimized are obtained efficiently, ensuring the real-time optimization needs of the area to be optimized.

[0097] In one embodiment, if Figure 5 As shown, when it is necessary to determine the network quality score corresponding to the key area according to the network coverage parameters of the key area, the following contents may be specifically included:

[0098] S501, determining a network quality scoring strategy corresponding to a network coverage parameter.

[0099] The network quality scoring strategy refers to a strategy used to characterize network quality scores corresponding to different network coverage parameters.

[0100] It should be noted that when it is necessary to determine the network quality scoring strategy corresponding to the network coverage parameters, the historical quality scoring strategy corresponding to the network coverage parameters at historical moments can be obtained; then, the historical quality scoring strategy is fed back to the terminal equipment of the network operation and maintenance personnel, so that the network operation and maintenance personnel can adaptively adjust the historical quality scoring strategy based on the actual situation and the user's network quality requirements to obtain the network quality scoring strategy corresponding to the network coverage parameters.

[0101] To further illustrate, if there is no historical quality scoring strategy corresponding to the network coverage parameters, the user's network quality requirements can be obtained, and then, based on the actual situation, a network quality scoring strategy corresponding to the network coverage parameters can be constructed; the network quality scoring strategy is output to the user, and the user's modification opinions on the network quality scoring strategy are received, and then the network quality scoring strategy is adjusted according to the user's modification opinions to obtain the network quality scoring strategy corresponding to the network coverage parameters.

[0102] S502: Determine a network quality score corresponding to the key area according to a network quality scoring strategy and a network coverage parameter of the key area.

[0103] It should be noted that the network coverage parameters include at least one network coverage sub-parameter; the network quality scoring strategy includes a scoring sub-strategy for each network coverage sub-parameter; therefore, when it is necessary to determine the network quality score corresponding to the key area, it may specifically include the following contents: score the corresponding network coverage sub-parameter according to each scoring sub-strategy to obtain the quality sub-score corresponding to the corresponding network coverage sub-parameter; determine the network quality score corresponding to the key area according to the quality sub-score corresponding to each network coverage sub-parameter.

[0104] In one embodiment of the present application, when determining the network quality score corresponding to the key area based on the quality sub-score corresponding to each network coverage sub-parameter, the influence weight of each network coverage sub-parameter can be determined; based on the influence weight and quality sub-score of each network coverage sub-parameter, the network quality score corresponding to the key area is determined.

[0105] Further explanation: the user's indicator weights for different network coverage sub-parameters can also be obtained in advance, and then the network coverage sub-parameters are weighted according to the indicator weights. For example, if the user is more concerned about signal strength, a higher weight is given to signal strength. Specifically, a large number of user experience data in different network environments can be obtained, and then a perceptual quality evaluation model is established based on the experience data and actual conditions. Then, the quality sub-score of the key area is calculated based on the weighted network coverage sub-parameters. The higher the quality sub-score, the better the user experience.

[0106] The above-mentioned method for determining the network deployment plan, by constructing a three-dimensional simulation scene corresponding to the area to be optimized, realizes the simulation of network coverage of the three-dimensional simulation scene according to the initial network deployment plan, ensures that the initial network deployment plan can be optimized according to the network coverage parameters in the subsequent process, provides a data basis for the subsequent process, and ensures that the target network deployment plan of the area to be optimized can be smoothly determined. In addition, according to the initial network deployment plan, the network coverage of the area to be optimized is simulated, and the network coverage parameters of the key areas in the area to be optimized are obtained efficiently, ensuring the real-time optimization needs of the area to be optimized.

[0107] In one embodiment, if Figure 6 As shown, when it is necessary to determine the target network deployment plan for the area to be optimized, the following contents may be specifically included:

[0108] S601: construct an initial simulation scene corresponding to the area to be optimized according to the physical structure information of the area to be optimized.

[0109] S602: Adjust scene parameters of the initial simulation scene according to the physical property information corresponding to the area to be optimized to obtain a three-dimensional simulation scene.

[0110] S603: According to the initial network deployment plan, simulate network coverage of the three-dimensional simulation scene to obtain network coverage parameters of key areas in the area to be optimized.

[0111] S604: Determine a network quality scoring strategy corresponding to the network coverage parameter.

[0112] S605: Score the corresponding network coverage sub-parameter according to each scoring sub-strategy to obtain a quality sub-score corresponding to the corresponding network coverage sub-parameter.

[0113] S606: Determine the influence weight of each network coverage sub-parameter.

[0114] S607: Determine the network quality score corresponding to the key area according to the influence weight and quality sub-score of each network coverage sub-parameter.

[0115] S608, when the network quality score does not meet the network quality condition, the initial network deployment plan is optimized, the optimized initial network deployment plan is used as the new initial network deployment plan, and the operation of simulating network coverage of the area to be optimized is returned to be executed according to the initial network deployment plan.

[0116] S609: When the network quality score satisfies the network quality condition, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0117] The above-mentioned network deployment scheme determination method obtains the network coverage parameters of the key areas in the area to be optimized, and determines the network quality score corresponding to the key areas according to the network coverage parameters; then, determines the target network deployment scheme for the area to be optimized according to the network quality score and the initial network deployment scheme. According to the above content, in the process of determining the target network deployment scheme for the area to be optimized, the application will realize targeted network deployment optimization for the key areas according to the network quality score corresponding to the key areas, ensuring that the network deployment scheme for the area to be optimized is adaptively adjusted according to the actual performance of the user, optimizing the network usage experience of the user in the key areas, and realizing key optimization for the key areas in the area to be optimized; and, according to the initial network deployment plan, simulated network coverage is performed on the area to be optimized, realizing efficient acquisition of network coverage parameters for the key areas in the area to be optimized, ensuring the real-time optimization needs for the area to be optimized, and, by simulating network coverage on the area to be optimized, it is realized that in the process of obtaining network coverage parameters, the spatial information of the area to be optimized is combined, ensuring that the network coverage parameters can accurately reflect the actual user experience of the user in the area to be optimized, and further guaranteeing the network optimization effect of the subsequent target network deployment scheme.

[0118] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0119] Based on the same inventive concept, the embodiment of the present application also provides a network deployment solution determination device for implementing the network deployment solution determination method involved above. The implementation solution for solving the problem provided by the device is similar to the implementation solution recorded in the above method, so the specific limitations in the embodiments of one or more network deployment solution determination devices provided below can refer to the limitations of the network deployment solution determination method above, and will not be repeated here.

[0120] In one embodiment, Figure 7 As shown, a network deployment scheme determination device is provided, comprising: a coverage module 10, a first determination module 20 and a second determination module 30, wherein:

[0121] The coverage module 10 is used to simulate network coverage of the area to be optimized according to the initial network deployment plan, and obtain network coverage parameters of key areas in the area to be optimized.

[0122] The first determination module 20 is used to determine the network quality score corresponding to the key area according to the network coverage parameter of the key area.

[0123] The second determination module 30 is used to determine a target network deployment plan for the area to be optimized according to the network quality score and the initial network deployment plan.

[0124] In one embodiment, when the network quality score does not meet the network quality condition, the initial network deployment plan is optimized, the optimized initial network deployment plan is used as a new initial network deployment plan, and the operation of simulating network coverage for the area to be optimized is returned to be executed according to the initial network deployment plan;

[0125] When the network quality score meets the network quality conditions, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0126] In one embodiment, a three-dimensional simulation scene corresponding to the area to be optimized is constructed according to the physical structure information of the area to be optimized;

[0127] According to the initial network deployment plan, simulated network coverage is performed on the three-dimensional simulation scene to obtain network coverage parameters of key areas in the area to be optimized.

[0128] In one embodiment, an initial simulation scene corresponding to the area to be optimized is constructed according to the physical structure information of the area to be optimized;

[0129] According to the physical property information corresponding to the area to be optimized, the scene parameters of the initial simulation scene are adjusted to obtain a three-dimensional simulation scene; wherein the scene parameters include the size parameters and material parameters of the obstacles in the area to be optimized.

[0130] In one embodiment, determining a network quality scoring strategy corresponding to a network coverage parameter;

[0131] Determine the network quality score corresponding to the key area based on the network quality scoring strategy and the network coverage parameters of the key area.

[0132] In one embodiment, the corresponding network coverage sub-parameter is scored according to each scoring sub-strategy to obtain a quality sub-score corresponding to the corresponding network coverage sub-parameter;

[0133] The network quality score corresponding to the key area is determined according to the quality sub-score corresponding to each network coverage sub-parameter.

[0134] In one embodiment, determining the influence weight of each network coverage sub-parameter;

[0135] The network quality score corresponding to the key area is determined based on the influence weight and quality sub-score of each network coverage sub-parameter.

[0136] The above-mentioned network deployment scheme determination device obtains the network coverage parameters of the key areas in the area to be optimized, and determines the network quality score corresponding to the key areas according to the network coverage parameters; and then, determines the target network deployment scheme for the area to be optimized according to the network quality score and the initial network deployment scheme. According to the above content, in the process of determining the target network deployment scheme for the area to be optimized, the application will realize targeted network deployment optimization for the key areas according to the network quality score corresponding to the key areas, ensuring that the network deployment scheme for the area to be optimized is adaptively adjusted according to the actual performance of the user, optimizing the network usage experience of the user in the key areas, and realizing key optimization for the key areas in the area to be optimized; and, according to the initial network deployment plan, simulated network coverage is performed on the area to be optimized, realizing efficient acquisition of network coverage parameters for the key areas in the area to be optimized, ensuring the real-time optimization needs for the area to be optimized, and, by simulating network coverage on the area to be optimized, it is realized that in the process of obtaining network coverage parameters, the spatial information of the area to be optimized is combined, ensuring that the network coverage parameters can accurately reflect the actual user experience of the user in the area to be optimized, and further guaranteeing the network optimization effect of the subsequent target network deployment scheme.

[0137] Each module in the above network deployment scheme determination device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0138] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for determining a network deployment scheme is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0139] Those skilled in the art will understand that the structure shown in FIG. Y is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0140] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0141] According to the initial network deployment plan, simulate the network coverage of the area to be optimized to obtain the network coverage parameters of the key areas in the area to be optimized;

[0142] Determine the network quality score corresponding to the key area based on the network coverage parameters of the key area;

[0143] Based on the network quality score and the initial network deployment plan, determine the target network deployment plan for the area to be optimized.

[0144] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0145] When the network quality score does not meet the network quality condition, the initial network deployment plan is optimized, the optimized initial network deployment plan is used as a new initial network deployment plan, and the operation of simulating network coverage of the area to be optimized is returned to be executed according to the initial network deployment plan;

[0146] When the network quality score meets the network quality conditions, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0147] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0148] According to the physical structure information of the area to be optimized, a three-dimensional simulation scene corresponding to the area to be optimized is constructed;

[0149] According to the initial network deployment plan, simulated network coverage is performed on the three-dimensional simulation scene to obtain network coverage parameters of key areas in the area to be optimized.

[0150] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0151] According to the physical structure information of the area to be optimized, construct an initial simulation scene corresponding to the area to be optimized;

[0152] According to the physical property information corresponding to the area to be optimized, the scene parameters of the initial simulation scene are adjusted to obtain a three-dimensional simulation scene; wherein the scene parameters include the size parameters and material parameters of the obstacles in the area to be optimized.

[0153] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0154] Determine the network quality scoring strategy corresponding to the network coverage parameters;

[0155] Determine the network quality score corresponding to the key area based on the network quality scoring strategy and the network coverage parameters of the key area.

[0156] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0157] According to the network quality scoring strategy and the network coverage parameters of the key areas, the network quality scores corresponding to the key areas are determined, including:

[0158] Scoring the corresponding network coverage sub-parameters according to each scoring sub-strategy to obtain the quality sub-scores corresponding to the corresponding network coverage sub-parameters;

[0159] The network quality score corresponding to the key area is determined according to the quality sub-score corresponding to each network coverage sub-parameter.

[0160] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0161] Determine the influence weight of each network coverage sub-parameter;

[0162] The network quality score corresponding to the key area is determined based on the influence weight and quality sub-score of each network coverage sub-parameter.

[0163] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0164] According to the initial network deployment plan, simulate the network coverage of the area to be optimized to obtain the network coverage parameters of the key areas in the area to be optimized;

[0165] Determine the network quality score corresponding to the key area based on the network coverage parameters of the key area;

[0166] Based on the network quality score and the initial network deployment plan, determine the target network deployment plan for the area to be optimized.

[0167] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0168] When the network quality score does not meet the network quality condition, the initial network deployment plan is optimized, the optimized initial network deployment plan is used as a new initial network deployment plan, and the operation of simulating network coverage of the area to be optimized is returned to be executed according to the initial network deployment plan;

[0169] When the network quality score meets the network quality conditions, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0170] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0171] According to the physical structure information of the area to be optimized, a three-dimensional simulation scene corresponding to the area to be optimized is constructed;

[0172] According to the initial network deployment plan, simulated network coverage is performed on the three-dimensional simulation scene to obtain network coverage parameters of key areas in the area to be optimized.

[0173] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0174] According to the physical structure information of the area to be optimized, construct an initial simulation scene corresponding to the area to be optimized;

[0175] According to the physical property information corresponding to the area to be optimized, the scene parameters of the initial simulation scene are adjusted to obtain a three-dimensional simulation scene; wherein the scene parameters include the size parameters and material parameters of the obstacles in the area to be optimized.

[0176] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0177] Determine the network quality scoring strategy corresponding to the network coverage parameters;

[0178] Determine the network quality score corresponding to the key area based on the network quality scoring strategy and the network coverage parameters of the key area.

[0179] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0180] According to the network quality scoring strategy and the network coverage parameters of the key areas, the network quality scores corresponding to the key areas are determined, including:

[0181] Scoring the corresponding network coverage sub-parameters according to each scoring sub-strategy to obtain the quality sub-scores corresponding to the corresponding network coverage sub-parameters;

[0182] The network quality score corresponding to the key area is determined according to the quality sub-score corresponding to each network coverage sub-parameter.

[0183] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0184] Determine the influence weight of each network coverage sub-parameter;

[0185] The network quality score corresponding to the key area is determined based on the influence weight and quality sub-score of each network coverage sub-parameter.

[0186] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0187] According to the initial network deployment plan, simulate the network coverage of the area to be optimized to obtain the network coverage parameters of the key areas in the area to be optimized;

[0188] Determine the network quality score corresponding to the key area based on the network coverage parameters of the key area;

[0189] Based on the network quality score and the initial network deployment plan, determine the target network deployment plan for the area to be optimized.

[0190] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0191] When the network quality score does not meet the network quality condition, the initial network deployment plan is optimized, the optimized initial network deployment plan is used as a new initial network deployment plan, and the operation of simulating network coverage of the area to be optimized is returned to be executed according to the initial network deployment plan;

[0192] When the network quality score meets the network quality conditions, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

[0193] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0194] According to the physical structure information of the area to be optimized, a three-dimensional simulation scene corresponding to the area to be optimized is constructed;

[0195] According to the initial network deployment plan, simulated network coverage is performed on the three-dimensional simulation scene to obtain network coverage parameters of key areas in the area to be optimized.

[0196] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0197] According to the physical structure information of the area to be optimized, construct an initial simulation scene corresponding to the area to be optimized;

[0198] According to the physical property information corresponding to the area to be optimized, the scene parameters of the initial simulation scene are adjusted to obtain a three-dimensional simulation scene; wherein the scene parameters include the size parameters and material parameters of the obstacles in the area to be optimized.

[0199] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0200] Determine the network quality scoring strategy corresponding to the network coverage parameters;

[0201] Determine the network quality score corresponding to the key area based on the network quality scoring strategy and the network coverage parameters of the key area.

[0202] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0203] According to the network quality scoring strategy and the network coverage parameters of the key areas, the network quality scores corresponding to the key areas are determined, including:

[0204] Scoring the corresponding network coverage sub-parameters according to each scoring sub-strategy to obtain the quality sub-scores corresponding to the corresponding network coverage sub-parameters;

[0205] The network quality score corresponding to the key area is determined according to the quality sub-score corresponding to each network coverage sub-parameter.

[0206] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0207] Determine the influence weight of each network coverage sub-parameter;

[0208] The network quality score corresponding to the key area is determined based on the influence weight and quality sub-score of each network coverage sub-parameter.

[0209] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0210] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0211] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0212] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining a network deployment solution, characterized in that: The method comprises: According to the initial network deployment plan, simulate network coverage in the area to be optimized to obtain network coverage parameters of key areas in the area to be optimized; Determining a network quality score corresponding to the key area according to the network coverage parameter of the key area; A target network deployment plan for the area to be optimized is determined according to the network quality score and the initial network deployment plan.

2. The method according to claim 1, characterized in that The determining, according to the network quality score and the initial network deployment plan, a target network deployment plan for the area to be optimized includes: In the case where the network quality score does not meet the network quality condition, optimizing the initial network deployment plan, using the optimized initial network deployment plan as a new initial network deployment plan, and returning to perform an operation of simulating network coverage of the area to be optimized according to the initial network deployment plan; When the network quality score satisfies the network quality condition, the initial network deployment plan is used as the target network deployment plan for the area to be optimized.

3. The method according to claim 1, characterized in that According to the initial network deployment plan, simulating network coverage of the area to be optimized to obtain network coverage parameters of key areas in the area to be optimized includes: Constructing a three-dimensional simulation scene corresponding to the area to be optimized according to the physical structure information of the area to be optimized; According to the initial network deployment plan, simulated network coverage is performed on the three-dimensional simulation scene to obtain network coverage parameters of key areas in the area to be optimized.

4. The method according to claim 3, characterized in that The step of constructing a three-dimensional simulation scene corresponding to the area to be optimized according to the physical structure information of the area to be optimized includes: According to the physical structure information of the area to be optimized, construct an initial simulation scene corresponding to the area to be optimized; According to the physical property information corresponding to the area to be optimized, the scene parameters of the initial simulation scene are adjusted to obtain a three-dimensional simulation scene; wherein the scene parameters include size parameters and material parameters of obstacles in the area to be optimized.

5. The method according to claim 1, characterized in that The determining, according to the network coverage parameter of the key area, a network quality score corresponding to the key area includes: Determine a network quality scoring strategy corresponding to the network coverage parameter; A network quality score corresponding to the key area is determined according to the network quality scoring strategy and the network coverage parameter of the key area.

6. The method according to claim 5, characterized in that The network coverage parameter includes at least one network coverage sub-parameter; the network quality scoring strategy includes a scoring sub-strategy for each of the network coverage sub-parameters; The determining, according to the network quality scoring strategy and the network coverage parameter of the key area, a network quality score corresponding to the key area includes: Scoring the corresponding network coverage sub-parameter according to each scoring sub-strategy to obtain a quality sub-score corresponding to the corresponding network coverage sub-parameter; The network quality score corresponding to the key area is determined according to the quality sub-score corresponding to each of the network coverage sub-parameters.

7. The method according to claim 6, characterized in that The determining, according to the quality sub-scores corresponding to the network coverage sub-parameters, the network quality score corresponding to the key area includes: Determining the influence weight of each of the network coverage sub-parameters; The network quality score corresponding to the key area is determined according to the influence weight and the quality sub-score of each of the network coverage sub-parameters.

8. A network deployment scheme determination device, characterized in that: The device comprises: A coverage module, used to simulate network coverage of the area to be optimized according to the initial network deployment plan, and obtain network coverage parameters of key areas in the area to be optimized; A first determination module, configured to determine a network quality score corresponding to the key area according to the network coverage parameter of the key area; The second determination module is used to determine the target network deployment plan for the area to be optimized according to the network quality score and the initial network deployment plan.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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