Network access site planning method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a network access site planning method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: constructing a digital twinborn model corresponding to a target scene; creating a current site planning scheme in the digital twin model according to planning constraint conditions input for the target scene; according to the at least two simulation granularities, performing performance simulation on the current station planning scheme in the digital twin model to obtain a performance simulation result corresponding to the current station planning scheme; according to the performance simulation result corresponding to the current station planning scheme, adjusting the current station planning scheme until the adjusted current station planning scheme meets the planning performance index configured by the planning constraint condition; and outputting the adjusted current station planning scheme as a target station planning scheme. By adopting the method, the network access site planning effect can be improved.

Description

Technical Field

[0001] The present application relates to the field of network communications and digital twin technologies, and in particular to a network access site planning method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] A network access station, such as a wireless access point, is a wireless network device that enables electronic devices to connect to a wired network through wireless communication technology.

[0003] Compared with the outdoor environment, the indoor environment is complex and diverse, and the wireless signal coverage is greatly affected by the scene details. Therefore, the indoor network planning in traditional technology usually relies more on on-site survey and testing, and the planning scheme of network access sites is often based on engineering experience, and the actual coverage effect may not be accurate enough.

[0004] Therefore, the traditional technology suffers from poor network access site planning effects. Summary of the invention

[0005] Based on this, it is necessary to provide a network access site planning method, apparatus, computer equipment, computer-readable storage medium and computer program product that can improve the effect of network access site planning in response to the above technical problems.

[0006] In a first aspect, the present application provides a network access site planning method, comprising:

[0007] Build a digital twin model corresponding to the target scenario;

[0008] Creating a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario, wherein the current site planning scheme is used to deploy a virtual network access site in the digital twin model;

[0009] According to at least two simulation granularities, a performance simulation is performed on the current site planning solution in the digital twin model to obtain a performance simulation result corresponding to the current site planning solution;

[0010] According to the performance simulation result corresponding to the current site planning scheme, the current site planning scheme is adjusted until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition;

[0011] The adjusted current site planning scheme is output as a target site planning scheme, and the target site planning scheme is used to deploy a real network access site in the target scenario.

[0012] In one embodiment, constructing a digital twin model corresponding to the target scene includes:

[0013] Acquire modeling data of the target scene; the modeling data includes at least one of an architectural drawing or a three-dimensional scanning result of the target scene;

[0014] Constructing a three-dimensional virtual model corresponding to the target scene according to the modeling data of the target scene;

[0015] At least one structural element in the three-dimensional virtual model is bound to a corresponding real material attribute to obtain the digital twin model, and the real material attribute bound to the structural element is used to characterize the material of the structural element in the real world.

[0016] In one embodiment, the planning constraints include basic coverage areas and site selection information, and creating a current site planning solution in the digital twin model according to the planning constraints input for the target scenario includes:

[0017] Determining site capabilities of available sites based on the site selection information;

[0018] Determining the number of sites of the available sites according to the site capacity of the available sites and the area of ​​the basic coverage area;

[0019] According to the number of available sites, the area shape of the basic coverage area, and the connectivity of the rooms in the digital twin model, the distribution of each virtual network access site in the digital twin model is configured to obtain the current site planning solution.

[0020] In one of the embodiments, the performing of performance simulation on the current site planning scheme in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning scheme includes:

[0021] According to the first simulation granularity, a performance simulation is performed on the current site planning solution in the digital twin model to obtain a preliminary simulation result as a performance simulation result corresponding to the current site planning solution;

[0022] The adjusting the current site planning scheme according to the performance simulation result corresponding to the current site planning scheme includes:

[0023] Comparing the simulation result with the planning performance index to obtain a preliminary evaluation result;

[0024] If the preliminary evaluation result indicates that the current site planning solution does not meet the planning performance indicator, adjusting the number of virtual network access sites deployed in the digital twin model according to the preliminary evaluation result;

[0025] Based on the principle of minimum change, the distribution of the virtual network access site in the digital twin model is adjusted, and the step of performing performance simulation on the current site planning scheme in the digital twin model according to the first simulation granularity is returned to obtain a preliminary simulation result.

[0026] In one of the embodiments, the performing of performance simulation on the current site planning scheme in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning scheme includes:

[0027] When the preliminary evaluation result indicates that the current site planning solution meets the planning performance index, an edge coverage area is determined in the digital twin model according to a preset area determination rule;

[0028] According to a second simulation granularity, a performance simulation is performed on the current site planning scheme in the edge coverage area to obtain a verification simulation result as a performance simulation result corresponding to the current site planning scheme; the second simulation granularity is higher than the first simulation granularity;

[0029] The adjusting the current site planning scheme according to the performance simulation result corresponding to the current site planning scheme includes:

[0030] Comparing the verification simulation result with the planning performance index to obtain a verification evaluation result;

[0031] When the verification evaluation result indicates that the edge coverage effect of the current site planning scheme does not meet the planning performance indicator, the distribution of the virtual network access site in the digital twin model is adjusted according to the principle of minimum change, and the step of performing performance simulation on the current site planning scheme in the edge coverage area according to the second simulation granularity is returned to obtain the verification simulation result.

[0032] In one of the embodiments, the performing of performance simulation on the current site planning scheme in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning scheme includes:

[0033] If the verification evaluation result indicates that the edge coverage effect of the current site planning solution meets the preset edge coverage effect,

[0034] According to a third simulation granularity, a performance simulation is performed on the current site planning scheme in the digital twin model to obtain a supplementary simulation result as a performance simulation result corresponding to the current site planning scheme; the third simulation granularity is determined according to a preset output result granularity standard;

[0035] The outputting the adjusted current site planning scheme as a target site planning scheme includes:

[0036] Comparing the supplementary simulation result with the planning performance indicator to obtain a supplementary evaluation result;

[0037] When the supplementary evaluation result indicates that the current site planning solution meets the planning performance index, the solution parameters and simulation result data of the target site planning solution are output, and a simulation effect diagram of the target site planning solution is displayed.

[0038] In a second aspect, the present application also provides a network access site planning device, including:

[0039] A construction module is used to construct a digital twin model corresponding to the target scenario of the network access site to be planned;

[0040] A planning module, configured to create a current site planning scheme in the digital twin model according to planning constraints input for the target scenario, wherein the current site planning scheme is used to plan a virtual network access site in the digital twin model;

[0041] A simulation module, configured to perform performance simulation on the current site planning scheme in the digital twin model according to at least two simulation granularities, and obtain a performance simulation result corresponding to the current site planning scheme;

[0042] An adjustment module, configured to adjust the current site planning scheme according to a performance simulation result corresponding to the current site planning scheme, until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition;

[0043] The output module is used to output the adjusted current site planning scheme as a target site planning scheme, and the target site planning scheme is used to plan a real network access site in the target scenario.

[0044] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0045] Build a digital twin model corresponding to the target scenario;

[0046] Creating a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario, wherein the current site planning scheme is used to deploy a virtual network access site in the digital twin model;

[0047] According to at least two simulation granularities, a performance simulation is performed on the current site planning solution in the digital twin model to obtain a performance simulation result corresponding to the current site planning solution;

[0048] According to the performance simulation result corresponding to the current site planning scheme, the current site planning scheme is adjusted until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition;

[0049] The adjusted current site planning scheme is output as a target site planning scheme, and the target site planning scheme is used to deploy a real network access site in the target scenario.

[0050] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0051] Build a digital twin model corresponding to the target scenario;

[0052] Creating a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario, wherein the current site planning scheme is used to deploy a virtual network access site in the digital twin model;

[0053] According to at least two simulation granularities, a performance simulation is performed on the current site planning solution in the digital twin model to obtain a performance simulation result corresponding to the current site planning solution;

[0054] According to the performance simulation result corresponding to the current site planning scheme, the current site planning scheme is adjusted until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition;

[0055] The adjusted current site planning scheme is output as a target site planning scheme, and the target site planning scheme is used to deploy a real network access site in the target scenario.

[0056] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0057] Build a digital twin model corresponding to the target scenario;

[0058] Creating a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario, wherein the current site planning scheme is used to deploy a virtual network access site in the digital twin model;

[0059] According to at least two simulation granularities, a performance simulation is performed on the current site planning solution in the digital twin model to obtain a performance simulation result corresponding to the current site planning solution;

[0060] According to the performance simulation result corresponding to the current site planning scheme, the current site planning scheme is adjusted until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition;

[0061] The adjusted current site planning scheme is output as a target site planning scheme, and the target site planning scheme is used to deploy a real network access site in the target scenario.

[0062] The above-mentioned network access site planning method, device, computer equipment, computer-readable storage medium and computer program product construct a digital twin model corresponding to the target scenario, and create a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario; then, according to at least two simulation granularities, the performance of the current site planning scheme is simulated in the digital twin model to obtain a performance simulation result corresponding to the current site planning scheme; according to the performance simulation result corresponding to the current site planning scheme, the current site planning scheme is adjusted until the adjusted current site planning scheme meets the planning performance indicators configured by the planning constraints; and the adjustment is output. The adjusted current site planning scheme is the target site planning scheme, which is used to deploy real network access sites in the target scenario. In this way, three-dimensional modeling and ray tracing simulation can be used to perform digital twinning of the target scenario, accurately simulate the wireless signal propagation conditions in the target scenario, and automatically plan the network access sites based on the planning constraints input by the target scenario. According to the planning indicator requirements configured according to the planning constraints, performance simulation is performed step by step, layered, and at multiple simulation granularities for the target scenario, which effectively improves the computing power utilization efficiency and the iteration speed of the network access site planning scheme, achieves the effect of automatic planning, and improves the accuracy and effect of network access site planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0064] Figure 1 An application environment diagram of a network access site planning method in one embodiment;

[0065] Figure 2A schematic diagram of a flow chart of a network access site planning method in an embodiment;

[0066] Figure 3 A logical diagram of a network access site planning method in one embodiment;

[0067] Figure 4 A schematic diagram of simulation zoning of a digital twin model in an embodiment;

[0068] Figure 5 A schematic diagram of a flow chart of a network access site planning method in another embodiment;

[0069] Figure 6 is a structural block diagram of a network access site planning device in one embodiment;

[0070] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0071] 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.

[0072] The network access site planning method provided in the embodiment of the present application can be applied to Figure 1In 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. In actual applications, the terminal 102 can obtain the modeling data of the target scene from the server 104, and build a digital twin model corresponding to the target scene according to the modeling data of the target scene; the terminal 102 creates a current site planning scheme in the digital twin model according to the planning constraints input for the target scene, and the current site planning scheme is used to deploy a virtual network access site in the digital twin model; the terminal 102 performs performance simulation on the current site planning scheme in the digital twin model according to at least two simulation granularities, and obtains the performance simulation results corresponding to the current site planning scheme; the terminal 102 adjusts the current site planning scheme according to the performance simulation results corresponding to the current site planning scheme, until the adjusted current site planning scheme meets the planning performance indicators configured by the planning constraints; the terminal 102 outputs the adjusted current site planning scheme as the target site planning scheme, and the target site planning scheme is used to deploy a real network access site in the target scene. The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. The server 104 may be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0073] In an exemplary embodiment, Figure 2 As shown, a network access site planning method is provided, and the method is applied to Figure 1 The terminal 102 in the example is used as an example to illustrate, including the following steps S202 to S210. Among them:

[0074] Step S202, construct a digital twin model corresponding to the target scene.

[0075] The target scene may refer to an indoor environment of a network access site to be planned, such as a shopping mall environment, a residential environment, etc. In practical applications, a network access site may refer to a wireless network access point.

[0076] Among them, the digital twin model may refer to a three-dimensional model that simulates the target scene based on digital twin technology.

[0077] In a specific implementation, the modeling information of the target scene can be obtained, and based on the modeling information of the target scene, a digital twin of the target scene can be performed to construct a digital twin model corresponding to the target scene.

[0078] In practical applications, the modeling information of the target scene can be determined by manual modeling based on the architectural drawings of the target scene, or by three-dimensional scanning of the target scene.

[0079] Step S204: Create a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario. The current site planning scheme is used to deploy a virtual network access site in the digital twin model.

[0080] The planning constraint condition may refer to a condition used to constrain the planning method of the network access site in the target scenario.

[0081] In practical applications, planning constraints can include necessary conditions and optional conditions. Among them, necessary conditions mainly include the ultimate goal of planning and equipment selection, and one or more of them can be selected according to needs; optional conditions refer to other non-essential constraints related to the target scenario or planning scheme. By adding optional conditions, the automatic planning scheme can be iterated and converged faster and meet more diverse additional requirements.

[0082] Among them, the necessary conditions may at least include:

[0083] 1. Planning objectives:

[0084] 1) Basic coverage area: used for the overall coverage range of wireless signal simulation in the target scenario. It reduces the computing pressure by reducing the irrelevant simulation calculation range and supports the combination of positive selection and negative selection (non-coverage area).

[0085] 2) Key performance indicators: including basic indicators such as received signal strength, signal-to-interference-noise ratio, and threshold compliance rate requirements for key performance indicators.

[0086] 2. Available device information: used to limit the type, model and fixed parameters of the network access site (such as power, antenna model, antenna gain, hanging height, etc.). It can support selection from the existing device library in the system or customization, and support definition of additional deployment requirements for the device (such as must be hung on the wall).

[0087] Among them, the optional conditions may at least include:

[0088] 1. Additional planning objectives

[0089] 1) Key protection areas and related key performance indicators: Key protection areas are planning areas within the basic coverage area that need to support more stringent key performance indicator requirements. They are used to support diverse needs in scenarios. Multiple areas and their corresponding key performance indicators can be defined.

[0090] 2) Equipment deployment area: that is, the area where equipment deployment is allowed. By default, the equipment deployment area is basically equivalent to the basic coverage area, but there may be areas where it is inconvenient to deploy equipment. It supports division through a combination of positive selection and negative selection (non-deployable area).

[0091] For specific implementation, see Figure 3 After the terminal completes the target scenario modeling, the terminal can receive the planning constraints input by the user for the target scenario. Then, the terminal can deploy the virtual network access site in the digital twin model according to the planning constraints input for the target scenario to create the current site planning scheme in the digital twin model. In actual applications, the terminal can determine the number of sites where the virtual network access site needs to be deployed in the digital twin model according to the planning constraints input for the target scenario, and configure the release of the virtual network access site in the digital twin model according to the number of sites, such as configuring the location and azimuth (directional antenna) of the virtual network access site in the digital twin model.

[0092] Step S206: Perform performance simulation on the current site planning solution in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning solution.

[0093] Among them, the performance simulation results refer to the results of predicting and evaluating the performance of the current site planning scheme in the digital twin model through computer simulation technology.

[0094] In a specific implementation, the terminal can perform performance simulation on the current site planning scheme in the digital twin model according to at least two simulation granularities to obtain the performance simulation results corresponding to the current site planning scheme. In practical applications, the terminal can use a variety of different simulation granularities to perform performance simulation on the current site planning scheme in the digital twin model, such as performing ray tracing simulation on the current site planning scheme in the digital twin model to simulate the wireless signal propagation conditions of each network access site of the current site planning scheme in the digital twin model, so as to obtain the performance simulation results corresponding to the current site planning scheme, so as to adjust the current site planning scheme in the future using the performance simulation results corresponding to the current site planning scheme.

[0095] Step S208: adjusting the current site planning solution according to the performance simulation result corresponding to the current site planning solution until the adjusted current site planning solution meets the planning performance index configured by the planning constraint condition.

[0096] In a specific implementation, the terminal can adjust the current site planning scheme according to the performance simulation results corresponding to the current site planning scheme to obtain the adjusted current site planning scheme; then, the terminal can again perform performance simulation on the current site planning scheme in the digital twin model to obtain a new performance simulation result corresponding to the current site planning scheme. Then, after obtaining a new performance simulation result each time, the terminal can determine whether the current site planning scheme meets the planning performance indicators configured by the planning constraint conditions based on the new performance simulation result.

[0097] When the adjusted current site planning scheme does not meet the planning performance indicators configured by the planning constraints, the terminal can return to execute the performance simulation results corresponding to the current site planning scheme, adjust the current site planning scheme, and obtain the adjusted current site planning scheme, and repeat this cycle until the adjusted current site planning scheme meets the planning performance indicators configured by the planning constraints.

[0098] Step S210: outputting the adjusted current site planning scheme as the target site planning scheme.

[0099] The target site planning scheme is used to deploy real network access sites in the target scenario.

[0100] In a specific implementation, when the terminal determines that the adjusted current site planning scheme meets the planning performance indicators configured by the planning constraint conditions, the terminal can output the adjusted current site planning scheme as the target site planning scheme for deploying a real network access site in the target scenario. Specifically, the terminal can use all the relevant parameters of the current site planning scheme and the simulation result data to form a specific site planning scheme and a simulation effect diagram.

[0101] The above-mentioned network access site planning method constructs a digital twin model corresponding to the target scenario, and creates a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario; then, according to at least two simulation granularities, the performance of the current site planning scheme is simulated in the digital twin model to obtain the performance simulation results corresponding to the current site planning scheme; according to the performance simulation results corresponding to the current site planning scheme, the current site planning scheme is adjusted until the adjusted current site planning scheme meets the planning performance indicators configured by the planning constraints; the adjusted current site planning scheme is output as the target site planning scheme, and the target site planning scheme is used to deploy real network access sites in the target scenario; in this way, three-dimensional modeling and ray tracing simulation can be used to digitally twin the target scenario, accurately simulate the wireless signal propagation conditions in the target scenario, and automatically plan the network access site according to the planning constraints input for the target scenario. According to the planning indicator requirements configured by the planning constraints, the performance simulation is performed step by step, layered, and at multiple simulation granularities for the target scenario, which effectively improves the computing power utilization efficiency and the iteration speed of the network access site planning scheme, achieves the effect of automatic planning, and improves the accuracy and effect of network access site planning.

[0102] In another embodiment, constructing a digital twin model corresponding to a target scene includes: acquiring modeling data of the target scene; constructing a three-dimensional virtual model corresponding to the target scene based on the modeling data of the target scene; binding at least one structural element in the three-dimensional virtual model to corresponding real material properties to obtain a digital twin model, and the real material properties bound to the structural element are used to characterize the material of the structural element in the real world.

[0103] The modeling data includes at least one of an architectural drawing or a three-dimensional scanning result of the target scene.

[0104] In the specific implementation, the terminal can obtain the modeling data of the target scene in the process of constructing the digital twin model corresponding to the target scene, and construct a three-dimensional virtual model corresponding to the target scene based on the modeling data of the target scene; specifically, the terminal can receive the modeling operation input into the terminal by the user based on the architectural drawings of the target scene, and obtain the modeling data of the target scene; in addition, the terminal can also receive the three-dimensional scanning result obtained by three-dimensional scanning and modeling of the target scene transmitted by the three-dimensional scanning device, and obtain the modeling data of the target scene.

[0105] After acquiring the three-dimensional virtual model corresponding to the target scene, the terminal can bind at least one structural element in the three-dimensional virtual model to the corresponding real material attribute to obtain a digital twin model, so as to characterize the material of the structural element in the real world through the real material attribute bound to the structural element. In practical applications, different real material attributes are associated with electromagnetic properties such as the penetration loss and reflection coefficient of electromagnetic waves, which are used for subsequent ray tracing simulation calculations based on the digital twin model. In practical applications, structural elements may include walls, doors, windows, furniture, and other elements that constitute the three-dimensional virtual model corresponding to the target scene.

[0106] The technical solution of this embodiment is to construct a three-dimensional virtual model corresponding to the target scene according to the modeling data of the target scene, and bind at least one structural element in the three-dimensional virtual model to the corresponding real material properties to obtain a digital twin model. The real material properties bound to the structural elements are used to characterize the materials of the structural elements in the real world, so that the digital twin model of the target scene can well simulate the scene details or scene structure of the target scene, so that the subsequent ray tracing simulation of the digital twin model can obtain results that are closer to the network signal propagation conditions in the real world.

[0107] In another embodiment, the planning constraints include a basic coverage area and site selection information. According to the planning constraints input for the target scenario, a current site planning scheme is created in the digital twin model, including: determining the site capacity of the available site according to the site selection information; determining the number of sites of the available site according to the site capacity of the available site and the area of ​​the basic coverage area; configuring the distribution of each virtual network access site in the digital twin model according to the number of sites of the available site, the area shape of the basic coverage area, and the connectivity domain of the room in the digital twin model to obtain the current site planning scheme.

[0108] Among them, planning constraints include basic coverage area and site selection information.

[0109] The basic coverage area may refer to the overall coverage area where wireless signal simulation needs to be performed in the target scenario.

[0110] The site selection information may refer to information on the type, model and fixed parameters (such as power, antenna model, antenna gain, hanging height, etc.) of the equipment used to limit the network access site to be used.

[0111] For specific implementation, please refer to Figure 3 Before iteratively adjusting the current site planning scheme, the terminal can perform rough planning of network access sites to obtain the first current site planning scheme, and the first current site planning scheme can serve as the basis for subsequent iterative adjustments to the current site planning scheme.

[0112] In the process of creating the current site planning scheme (i.e., executing the rough planning of the network access site) in the digital twin model according to the planning constraints input for the target scenario, the terminal can determine the site capacity of the available site according to the site selection information, i.e., the site capacity of the network access site to be planned in the target scenario. The site capacity can refer to the signal coverage range, signal strength, maximum number of device connections, etc. of the network access site; then, the number of sites of the available site can be determined according to the site capacity of the network access site and the area of ​​the basic coverage area, i.e., the number of sites of the network access site to be planned in the target scenario; then, the distribution of each virtual network access site in the digital twin model can be configured according to the number of sites of the available site, the area shape of the basic coverage area, and the connectivity domain of the room in the digital twin model, and the current site planning scheme can be obtained. Specifically, the terminal can configure the position, azimuth (directional antenna), etc. of each virtual network access site in the digital twin model according to the number of sites of the available site, the area shape of the basic coverage area, and the connectivity domain of the room in the digital twin model, and obtain the first current site planning scheme.

[0113] In actual applications, the terminal can receive the user's manual setting operation and obtain the initial creation of the current site planning scheme; that is, this application can support manual setting of some or all initial site locations, which can combine simulation iteration with engineering experience and reduce the number of scheme iterations. Of course, you can set whether each initial site location is variable (variable by default) to support fixed point settings.

[0114] The technical solution of this embodiment determines the site capacity of the available site based on the site selection information; determines the number of available sites based on the site capacity of the available site and the area of ​​the basic coverage area; configures the distribution of each virtual network access site in the digital twin model based on the number of available sites, the area shape of the basic coverage area, and the connectivity domain of the room in the digital twin model, effectively realizing the rapid generation of a basic and rough current site planning scheme based on the planning constraints input by the user as the basis for subsequent iterations.

[0115] In another embodiment, a performance simulation of the current site planning scheme is performed in a digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning scheme, including: according to a first simulation granularity, a performance simulation of the current site planning scheme is performed in a digital twin model to obtain a preliminary simulation result as the performance simulation result corresponding to the current site planning scheme.

[0116] Optionally, the current site planning scheme is adjusted according to the performance simulation results corresponding to the current site planning scheme, including: comparing the baseline simulation results with the planning performance indicators to obtain a baseline evaluation result; when the baseline evaluation results indicate that the current site planning scheme does not meet the planning performance indicators, adjusting the number of virtual network access sites deployed in the digital twin model according to the baseline evaluation results; adjusting the distribution of virtual network access sites in the digital twin model based on the principle of minimum change, and returning to the step of performing performance simulation on the current site planning scheme in the digital twin model according to the first simulation granularity to obtain the baseline simulation result.

[0117] The first simulation granularity may refer to a low simulation granularity. The low simulation granularity may refer to a simulation granularity with a low degree of detail description of the current site planning solution during the simulation of the current site planning solution.

[0118] For specific implementation, please refer to Figure 3 After the terminal completes the rough planning of the network access site and obtains the current site planning scheme, the terminal can perform low-granularity simulation on the current site planning scheme to find out the approximate effect of the network signal coverage in the entire target scenario. In practical applications, the terminal can perform low-granularity performance simulation on the current site planning scheme in the digital twin model according to the first simulation granularity (i.e., low simulation granularity) to obtain a simulation result as the performance simulation result corresponding to the current site planning scheme in the above text.

[0119] Then, the terminal can compare the simulation result of the survey with each key performance indicator in the planning performance indicator configured by the planning constraint condition, determine whether the current site planning scheme meets the planning performance indicator, and obtain the survey evaluation result. In the case that the current site planning scheme does not meet the planning performance indicator (that is, the current site planning scheme does not meet the standard and the survey evaluation fails), the terminal can adjust the number of virtual network access sites deployed in the digital twin model according to the survey evaluation result. Specifically, if the value of the worst key performance indicator is significantly higher than the required value of the key performance indicator, the terminal can reduce the number of virtual network access sites deployed in the digital twin model; and execute "Planning Adjustment 1", that is, adjust the distribution of virtual network access sites in the digital twin model according to the principle of minimum change, and re-execute the low-granularity simulation of the current site planning scheme, that is, the terminal returns to the step of performing performance simulation on the current site planning scheme in the digital twin model according to the first simulation granularity to obtain the survey simulation result.

[0120] In actual applications, the terminal can count the number of low-granularity simulations of the current site planning scheme to obtain the number of surveys; if the number of surveys exceeds the preset threshold, but the current site planning scheme still does not meet the standard, the terminal can increase the number of virtual network access sites deployed in the digital twin model; and execute "Planning Adjustment 1", that is, adjust the distribution of virtual network access sites in the digital twin model based on the principle of minimum change.

[0121] Among them, the terminal can adjust the distribution of virtual network access sites in the digital twin model based on the principle of minimum change, such as re-planning the location and azimuth (directional antenna) of the virtual network access site in the digital twin model, so as to follow the principle of minimum change as much as possible, maximize the use of existing simulation calculation results, reduce the amount of calculation for each low-granularity simulation, and achieve coverage reinforcement for areas where key performance indicators do not meet the standards. In order to facilitate technicians in this field, Figure 4 is a schematic diagram of a simulation zoning of a digital twin model, wherein the digital twin model includes at least one virtual network access site ( Figure 4 The “antenna” in the figure), the basic coverage area; wherein the basic coverage area includes a high-granularity simulation area and a low-granularity simulation area; wherein the high-granularity simulation area is Figure 4 The green dashed line shows that the low-granularity simulation area is Figure 4 In the process of low-granularity simulation of the current site planning scheme by the terminal, the terminal can Figure 4 The performance of the current site planning solution is simulated in the low-granularity simulation area to obtain a preliminary simulation result.

[0122] In another embodiment, according to at least two simulation granularities, a performance simulation is performed on the current site planning scheme in the digital twin model to obtain a performance simulation result corresponding to the current site planning scheme, including: when the bottom-line evaluation result indicates that the current site planning scheme meets the planning performance index, an edge coverage area is determined in the digital twin model according to a preset area determination rule; according to the second simulation granularity, a performance simulation is performed on the current site planning scheme in the edge coverage area to obtain a verification simulation result as the performance simulation result corresponding to the current site planning scheme;

[0123] Optionally, the current site planning scheme is adjusted according to the performance simulation results corresponding to the current site planning scheme, including: comparing the verification simulation results with the planning performance indicators to obtain verification evaluation results; when the verification evaluation results indicate that the edge coverage effect of the current site planning scheme does not meet the planning performance indicators, the distribution of virtual network access sites in the digital twin model is adjusted according to the principle of minimum change, and the performance of the current site planning scheme is simulated in the edge coverage area according to the second simulation granularity to obtain the verification simulation result.

[0124] The second simulation granularity is higher than the first simulation granularity. In practical applications, the second simulation granularity may refer to a high simulation granularity. The low simulation granularity may refer to a simulation granularity that describes a high degree of detail of the current site planning scheme during the simulation of the current site planning scheme.

[0125] For specific implementation, please refer to Figure 3 , when the current site planning scheme meets the planning performance indicators (i.e., the current site planning scheme meets the standards and passes the preliminary assessment), the terminal can perform high-granularity simulation on the current site planning scheme to verify the edge coverage effect. In practical applications, the terminal can determine the edge coverage area in the digital twin model according to the preset area determination rules. Specifically, the terminal can select a part of the low-granularity block at the edge of the network signal coverage (i.e., Figure 4 The "high granularity simulation area" in the example above is used as the edge coverage area for high granularity simulation to verify the edge coverage effect. Optionally, the selection criteria of the high granularity simulation area are: the area far away from the main service site ( Figure 4 The area in the direction of the "antenna") (i.e. Figure 4 'High Granularity Simulation Region' in the .

[0126] Then, the terminal can perform high-granularity simulation on the edge coverage area. Specifically, the terminal can perform high-granularity performance simulation on the current site planning scheme in the digital twin model according to the second simulation granularity (i.e., high simulation granularity) to obtain a verification simulation result as the performance simulation result corresponding to the current site planning scheme in the above text.

[0127] Then, the terminal can compare the verification simulation result with each key performance indicator in the planning performance indicator configured by the planning constraint condition, determine whether the current site planning scheme meets the planning performance indicator, and obtain the verification evaluation result. If the current site planning scheme does not meet the planning performance indicator (that is, the current site planning scheme does not meet the standard and the verification evaluation fails), the terminal executes "Planning Adjustment 2", that is, the distribution of the virtual network access site in the digital twin model is adjusted according to the principle of minimum change; then, the terminal re-executes the high-granularity simulation of the current site planning scheme, that is, the terminal returns to the step of performing performance simulation of the current site planning scheme in the edge coverage area according to the second simulation granularity to obtain the verification simulation result. It should be noted that if the terminal needs to increase the number of virtual network access sites deployed in the digital twin model or re-change the overall layout, due to the large adjustment of the current site planning scheme, the terminal can return to the above step of performing low-granularity simulation of the current site planning scheme to re-examine the general effect of network signal coverage in the entire target scenario.

[0128] In another embodiment, the performance of the current site planning scheme is simulated in a digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning scheme, including: when the verification evaluation result indicates that the edge coverage effect of the current site planning scheme meets the preset edge coverage effect, the performance of the current site planning scheme is simulated in the digital twin model according to a third simulation granularity to obtain a supplementary simulation result as the performance simulation result corresponding to the current site planning scheme.

[0129] Optionally, the adjusted current site planning scheme is output as the target site planning scheme, including: comparing the supplementary simulation results with the planning performance indicators to obtain supplementary evaluation results; when the supplementary evaluation results indicate that the current site planning scheme meets the planning performance indicators, outputting the scheme parameters and simulation result data of the target site planning scheme, and displaying the simulation effect diagram of the target site planning scheme.

[0130] Among them, the third simulation granularity is determined according to the preset output result granularity standard. In practical applications, the third simulation granularity may refer to the standard simulation granularity; it should be noted that the third simulation granularity may be higher than the second simulation granularity mentioned above; the third simulation granularity may also be between the first simulation granularity and the second simulation granularity; of course, the third simulation granularity may also be lower than the first simulation granularity mentioned above. In practical applications, in order to improve the scene simulation details, it is not recommended to set the third simulation granularity to be lower than the first simulation granularity.

[0131] For specific implementation, please refer to Figure 3 , when the verification and evaluation results indicate that the edge coverage effect of the current site planning scheme meets the preset edge coverage effect (i.e., the verification and evaluation pass), the terminal can perform supplementary simulation according to the granularity standard of the final output result, and improve the scene simulation details to determine the final scheme effect. Specifically, the terminal can perform performance simulation of the current site planning scheme in the digital twin model according to the third simulation granularity, and obtain supplementary simulation results as the performance simulation results corresponding to the current site planning scheme.

[0132] Then, the terminal can compare the supplementary simulation results with the planning performance indicators to obtain supplementary evaluation results; when the supplementary evaluation results indicate that the current site planning solution meets the planning performance indicators (supplementary evaluation passed), the terminal outputs the solution parameters and simulation result data of the target site planning solution, and displays the simulation effect diagram of the target site planning solution. Specifically, the terminal can form a specific site planning solution and simulation effect diagram based on all the relevant parameters and simulation result data of the current site planning solution.

[0133] If the supplementary evaluation result indicates that the current site planning solution meets the planning performance index (the supplementary evaluation fails), the terminal returns to execute the steps involved in the above "Planning Adjustment 2".

[0134] In the overall iteration process mentioned above, low-granularity simulation is used to preliminarily determine the number and basic distribution of network access sites, and then high-granularity simulation is used to adjust the edge coverage effect in the target scene. Finally, supplementary simulation is used to improve the details for final evaluation, and to discover and supplement the missed weak coverage areas of the scene. Through task decomposition and hierarchical simulation, the total amount of computing tasks is effectively reduced, and the iteration efficiency of the current site planning solution is accelerated.

[0135] In another embodiment, Figure 5 As shown, a network access site planning method is provided, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0136] Step S502, obtaining modeling data of the target scene; the modeling data includes at least one of architectural drawing data or three-dimensional scanning results of the target scene.

[0137] Step S504: construct a three-dimensional virtual model corresponding to the target scene according to the modeling data of the target scene.

[0138] Step S506: Bind at least one structural element in the three-dimensional virtual model with the corresponding real material attribute to obtain a digital twin model.

[0139] Step S508, obtaining planning constraints input for the target scenario; the planning constraints include basic coverage area and site selection information.

[0140] Step S510: determining the site capabilities of available sites according to the site selection information.

[0141] Step S512: Determine the number of available sites according to the site capabilities of the available sites and the area of ​​the basic coverage area.

[0142] Step S514, according to the number of available sites, the area shape of the basic coverage area, and the connectivity of the rooms in the digital twin model, configure the distribution of each virtual network access site in the digital twin model to obtain the current site planning solution.

[0143] Step S516: Perform performance simulation on the current site planning solution in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning solution.

[0144] Step S518: According to the performance simulation result corresponding to the current site planning solution, the current site planning solution is adjusted until the adjusted current site planning solution meets the planning performance index configured by the planning constraint condition.

[0145] Step S520: output the adjusted current site planning scheme as a target site planning scheme, where the target site planning scheme is used to deploy a real network access site in a target scenario.

[0146] It should be noted that the specific definition of the above steps can refer to the specific definition of a network access site planning method mentioned above, which will not be repeated here.

[0147] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned 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 does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can 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 to be 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.

[0148] Based on the same inventive concept, the embodiment of the present application also provides a network access site planning device for implementing the network access site planning method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the one or more network access site planning device embodiments provided below can refer to the limitations of the network access site planning method above, and will not be repeated here.

[0149] In an exemplary embodiment, Figure 6 As shown, a network access site planning device is provided, comprising:

[0150] A construction module 610 is used to construct a digital twin model corresponding to a target scenario of a network access site to be planned;

[0151] A planning module 620, configured to create a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario, wherein the current site planning scheme is used to plan a virtual network access site in the digital twin model;

[0152] A simulation module 630 is used to perform performance simulation on the current site planning solution in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning solution;

[0153] An adjustment module 640 is used to adjust the current site planning scheme according to the performance simulation result corresponding to the current site planning scheme until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition;

[0154] The output module 650 is used to output the adjusted current site planning scheme as a target site planning scheme, where the target site planning scheme is used to plan real network access sites in the target scenario.

[0155] In one embodiment, the construction module 610 is specifically used to obtain modeling data of the target scene; the modeling data includes at least one of architectural drawing data or three-dimensional scanning results of the target scene; according to the modeling data of the target scene, a three-dimensional virtual model corresponding to the target scene is constructed; at least one structural element in the three-dimensional virtual model is bound to corresponding real material properties to obtain the digital twin model, and the real material properties bound to the structural element are used to characterize the material of the structural element in the real world.

[0156] In one of the embodiments, the planning constraints include a basic coverage area and site selection information, and the planning module 620 is used to determine the site capacity of the available site based on the site selection information; determine the number of sites of the available site based on the site capacity of the available site and the area of ​​the basic coverage area; configure the distribution of each virtual network access site in the digital twin model based on the number of sites of the available site, the area shape of the basic coverage area, and the connectivity domain of the room in the digital twin model to obtain the current site planning scheme.

[0157] In one embodiment, the simulation module 630 is specifically used to perform performance simulation on the current site planning solution in the digital twin model according to the first simulation granularity, and obtain a preliminary simulation result as the performance simulation result corresponding to the current site planning solution;

[0158] The adjustment module 640 is specifically used to compare the baseline simulation result with the planning performance index to obtain a baseline evaluation result; when the baseline evaluation result indicates that the current site planning scheme does not meet the planning performance index, adjust the number of virtual network access sites deployed in the digital twin model according to the baseline evaluation result; adjust the distribution of the virtual network access sites in the digital twin model, and return to the step of performing performance simulation on the current site planning scheme in the digital twin model according to the first simulation granularity to obtain a baseline simulation result.

[0159] In one embodiment, the simulation module 630 is specifically used to determine the edge coverage area in the digital twin model according to a preset area determination rule when the baseline evaluation result indicates that the current site planning scheme meets the planning performance index; according to the second simulation granularity, the performance simulation of the current site planning scheme is performed in the edge coverage area to obtain a verification simulation result as the performance simulation result corresponding to the current site planning scheme; the second simulation granularity is higher than the first simulation granularity;

[0160] The adjustment module 640 is specifically used to compare the verification simulation result with the planning performance indicator to obtain a verification evaluation result; when the verification evaluation result indicates that the edge coverage effect of the current site planning scheme does not meet the planning performance indicator, adjust the distribution of the virtual network access site in the digital twin model, and return to the step of performing performance simulation on the current site planning scheme in the edge coverage area according to the second simulation granularity to obtain a verification simulation result.

[0161] In one embodiment, the simulation module 630 is specifically used to perform performance simulation on the current site planning scheme in the digital twin model according to a third simulation granularity when the verification evaluation result indicates that the edge coverage effect of the current site planning scheme meets the preset edge coverage effect, and obtain a supplementary simulation result as the performance simulation result corresponding to the current site planning scheme; the third simulation granularity is determined according to a preset output result granularity standard;

[0162] The output module 650 is specifically used to compare the supplementary simulation results with the planning performance indicators to obtain supplementary evaluation results; when the supplementary evaluation results indicate that the current site planning scheme meets the planning performance indicators, the scheme parameters and simulation result data of the target site planning scheme are output, and a simulation effect diagram of the target site planning scheme is displayed.

[0163] Each module in the above network access site planning 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.

[0164] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 7 As 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, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a network access site planning method 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.

[0165] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the 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 those shown in the figure, or combine certain components, or have a different arrangement of components.

[0166] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned method for planning a network access site. The steps of the method for planning a network access site may be the steps of the method for planning a network access site in each of the above-mentioned embodiments.

[0167] In one embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned method for planning a network access site. The steps of the method for planning a network access site may be the steps of the method for planning a network access site in each of the above-mentioned embodiments.

[0168] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, causes the processor to execute the steps of the above-mentioned method for planning a network access site. The steps of the method for planning a network access site may be the steps of the method for planning a network access site in each of the above-mentioned embodiments.

[0169] 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 regulations.

[0170] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method 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 the present application can include at least one of non-volatile memory 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), magneto resistive 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, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0171] 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 application.

[0172] The above-described 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 network access site planning method, characterized in that: The method comprises: Build a digital twin model corresponding to the target scenario; Creating a current site planning scheme in the digital twin model according to the planning constraints input for the target scenario, wherein the current site planning scheme is used to deploy a virtual network access site in the digital twin model; According to at least two simulation granularities, a performance simulation is performed on the current site planning solution in the digital twin model to obtain a performance simulation result corresponding to the current site planning solution; According to the performance simulation result corresponding to the current site planning scheme, the current site planning scheme is adjusted until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition; The adjusted current site planning scheme is output as the target site planning scheme.

2. The method according to claim 1, characterized in that The digital twin model corresponding to the target scene is constructed, including: Acquire modeling data of the target scene; the modeling data includes at least one of architectural drawing data or three-dimensional scanning results of the target scene; Constructing a three-dimensional virtual model corresponding to the target scene according to the modeling data of the target scene; At least one structural element in the three-dimensional virtual model is bound to a corresponding real material attribute to obtain the digital twin model, and the real material attribute bound to the structural element is used to characterize the material of the structural element in the real world.

3. The method according to claim 1, characterized in that The planning constraints include basic coverage areas and site selection information, and the current site planning scheme is created in the digital twin model according to the planning constraints input for the target scenario, including: Determining site capabilities of available sites based on the site selection information; Determining the number of sites of the available sites according to the site capacity of the available sites and the area of ​​the basic coverage area; According to the number of available sites, the area shape of the basic coverage area, and the connectivity of the rooms in the digital twin model, the distribution of each virtual network access site in the digital twin model is configured to obtain the current site planning solution.

4. The method according to claim 1, characterized in that: The performing performance simulation on the current site planning solution in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning solution includes: According to the first simulation granularity, a performance simulation is performed on the current site planning solution in the digital twin model to obtain a preliminary simulation result as a performance simulation result corresponding to the current site planning solution; The adjusting the current site planning scheme according to the performance simulation result corresponding to the current site planning scheme includes: Comparing the simulation result with the planning performance index to obtain a preliminary evaluation result; If the preliminary evaluation result indicates that the current site planning solution does not meet the planning performance indicator, adjusting the number of virtual network access sites deployed in the digital twin model according to the preliminary evaluation result; Adjust the distribution of the virtual network access sites in the digital twin model, and return to the step of performing performance simulation on the current site planning scheme in the digital twin model according to the first simulation granularity to obtain a preliminary simulation result.

5. The method according to claim 4, characterized in that The performing performance simulation on the current site planning solution in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning solution includes: When the preliminary evaluation result indicates that the current site planning solution meets the planning performance index, an edge coverage area is determined in the digital twin model according to a preset area determination rule; According to a second simulation granularity, a performance simulation is performed on the current site planning scheme in the edge coverage area to obtain a verification simulation result as a performance simulation result corresponding to the current site planning scheme; the second simulation granularity is higher than the first simulation granularity; The adjusting the current site planning scheme according to the performance simulation result corresponding to the current site planning scheme includes: Comparing the verification simulation result with the planning performance index to obtain a verification evaluation result; When the verification evaluation result indicates that the edge coverage effect of the current site planning scheme does not meet the planning performance indicator, the distribution of the virtual network access site in the digital twin model is adjusted, and the step of performing performance simulation on the current site planning scheme in the edge coverage area according to the second simulation granularity is returned to obtain a verification simulation result.

6. The method according to claim 5, characterized in that The performing performance simulation on the current site planning solution in the digital twin model according to at least two simulation granularities to obtain a performance simulation result corresponding to the current site planning solution includes: When the verification evaluation result indicates that the edge coverage effect of the current site planning scheme meets the preset edge coverage effect, the current site planning scheme is subjected to performance simulation in the digital twin model according to the third simulation granularity to obtain a supplementary simulation result as the performance simulation result corresponding to the current site planning scheme; the third simulation granularity is determined according to the preset output result granularity standard; The outputting the adjusted current site planning scheme as a target site planning scheme includes: Comparing the supplementary simulation result with the planning performance indicator to obtain a supplementary evaluation result; When the supplementary evaluation result indicates that the current site planning solution meets the planning performance index, the solution parameters and simulation result data of the target site planning solution are output, and a simulation effect diagram of the target site planning solution is displayed.

7. A network access site planning device, characterized in that: The device comprises: A construction module is used to construct a digital twin model corresponding to the target scenario of the network access site to be planned; A planning module, configured to create a current site planning scheme in the digital twin model according to planning constraints input for the target scenario, wherein the current site planning scheme is used to plan a virtual network access site in the digital twin model; A simulation module, configured to perform performance simulation on the current site planning scheme in the digital twin model according to at least two simulation granularities, and obtain a performance simulation result corresponding to the current site planning scheme; An adjustment module, configured to adjust the current site planning scheme according to a performance simulation result corresponding to the current site planning scheme, until the adjusted current site planning scheme meets the planning performance index configured by the planning constraint condition; The output module is used to output the adjusted current site planning scheme as a target site planning scheme.

8. 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 6 are implemented.

9. 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 6 are implemented.

10. 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 6 are implemented.

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