Base station site planning method, base station site planning system, equipment and medium

Abstract

The present invention discloses a base station site planning method, system, device and medium. The method includes: receiving a site planning task for a to-be-planned area, dividing the to-be-planned area into grids, and determining a village center point based on the traffic characteristics of each grid obtained by the division; dividing the to-be-planned area into multiple target coverage areas based on the village center points, and determining the number of preset candidate sites in each target coverage area based on preset candidate sites; determining corresponding candidate sites based on the number of preset candidate sites in each target coverage area, screening the candidate sites based on their base station matching parameters, and determining the target base station site for each target coverage area. This method improves the efficiency and accuracy of base station site planning.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a base station site planning method, a base station site planning system, equipment and a computer storage medium. Background Art

[0002] In the existing technology, when selecting and planning sites for a planned area, the geographical location information and satellite image information of the planned area are often presented to the site planners. The planners set up base stations based on the geographical location information and satellite image information according to previous site planning experience. This method of manually setting base station sites based on experience is inefficient and unreliable. Summary of the Invention

[0003] The main purpose of the present invention is to propose a base station site planning method, a base station site planning system, a device and a computer storage medium, aiming to improve the efficiency and accuracy of base station site planning.

[0004] To achieve the above object, the present invention provides a base station site planning method, which includes the following steps:

[0005] receiving a site planning task for a planned area, dividing the planned area into grids, and determining a village center point based on traffic characteristics of each grid obtained by the division;

[0006] Dividing the area to be planned into a plurality of target coverage areas according to the village center point, and determining the number of preset candidate sites in each target coverage area according to the preset candidate sites;

[0007] The corresponding candidate sites are determined according to the number of preset candidate sites in each target coverage area, and the candidate sites are screened according to the base station matching parameters of the candidate sites to determine the target base station site of each target coverage area.

[0008] Optionally, the step of determining corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screening the candidate sites according to base station matching parameters of the candidate sites, and determining the target base station site for each target coverage area includes:

[0009] If the number of preset candidate sites in the target coverage area is 0, determining a preset candidate site in an adjacent target coverage area of ​​the target coverage area;

[0010] Determine a reference signal received power (RSRP) value of a preset candidate site in the adjacent target coverage area for each grid of the target coverage area, and count the proportion of coverage grids in which the RSRP value of each preset candidate site in the adjacent target coverage area for the grid of the target coverage area is greater than a preset RSRP threshold;

[0011] Determine, among the preset candidate sites in the adjacent target coverage area, sites whose coverage grid ratio is greater than a preset ratio threshold as candidate sites for the target coverage area;

[0012] The sum of RSRP values ​​of the candidate sites for all grids of the target coverage area is determined, and the candidate site with the largest sum is determined as the target base station site of the target coverage area.

[0013] Optionally, the step of determining corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screening the candidate sites according to base station matching parameters of the candidate sites, and determining the target base station site for each target coverage area includes:

[0014] If the number of preset candidate sites in the target coverage area is 1, determining the preset candidate site corresponding to the target coverage area as the candidate site for the target coverage area;

[0015] Determining respectively the maximum effective coverage area and the target effective coverage area of ​​the candidate site and adjacent sites adjacent to the candidate site;

[0016] Determine a first overlap of the maximum effective coverage area of ​​the candidate site and the adjacent site, and determine a second overlap of the target coverage area of ​​the effective coverage of the candidate site and the adjacent site;

[0017] A target base station site of the target coverage area is determined according to the first overlap and the second overlap.

[0018] Optionally, the step of determining the target base station site of the target coverage area according to the first overlap and the second overlap includes:

[0019] If the first overlap is less than a first overlap threshold, and / or the second overlap is less than a second overlap threshold, taking the candidate site as the target base station site of the target coverage area;

[0020] If the first overlap is greater than or equal to a first overlap threshold, and the second overlap is greater than or equal to a second overlap threshold, the adjacent sites are considered as sites that can be merged;

[0021] The target base station site of the target coverage area is determined according to the candidate sites and the mergeable sites.

[0022] Optionally, the step of determining corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screening the candidate sites according to base station matching parameters of the candidate sites, and determining the target base station site of each target coverage area includes:

[0023] If the number of preset candidate sites in the target coverage area is greater than or equal to 2, determining the preset candidate site corresponding to the target coverage area as the candidate site of the target coverage area;

[0024] Determining the maximum effective coverage area of ​​the candidate site, the traffic contribution rate of the candidate site to the maximum effective coverage area, and the data service contribution rate of the candidate site to the maximum effective coverage area, and determining a site coverage score for each candidate site based on the maximum effective coverage area, the traffic contribution rate, and the data service contribution rate;

[0025] The candidate site with the highest site coverage score is determined as the target base station site of the target coverage area.

[0026] Optionally, the step of determining the site coverage score of each candidate site according to the maximum effective coverage area, the traffic contribution rate, and the data service contribution rate includes:

[0027] Determining cost impact factors of the candidate site, the cost impact factors including power supply cost impact factor, transmission cost impact factor and supporting equipment impact factor;

[0028] The site coverage score of each candidate site is determined based on the cost impact factor, the maximum effective coverage area, the voice traffic contribution rate and the data service contribution rate.

[0029] Optionally, before the step of screening the candidate sites according to the base station matching parameters of the candidate sites, the method further includes:

[0030] Acquire site attribute information of the candidate site from a preset knowledge graph, and vector quantize the site attribute information to obtain a target configuration vector of the candidate site;

[0031] Determine the similarity between the target configuration vector and a preset attribute vector in a preset site planning library, and use the preset base station matching parameters corresponding to the preset attribute vector with the highest similarity to the target configuration vector as the base station matching parameters of the candidate site.

[0032] In addition, to achieve the above-mentioned object, the present invention further provides a base station site planning system, the base station site planning system comprising:

[0033] A center determination module is configured to receive a site planning task for a region to be planned, divide the region to be planned into grids, and determine a village center point based on traffic characteristics of each grid obtained by the division;

[0034] a quantity determination module, configured to divide the area to be planned into a plurality of target coverage areas according to the village center point, and determine the number of preset candidate sites in each target coverage area according to the preset candidate sites;

[0035] The site determination module is used to determine the corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screen the candidate sites according to the base station matching parameters of the candidate sites, and determine the target base station site of each target coverage area.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also provides a base station site planning device, which includes: a memory, a processor, and a base station site planning program stored on the memory and runnable on the processor. When the base station site planning program is executed by the processor, the steps of the base station site planning method described above are implemented.

[0037] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer storage medium, on which a base station site planning program is stored. When the base station site planning program is executed by a processor, the steps of the base station site planning method described above are implemented.

[0038] The present invention receives a site planning task for an area to be planned, divides the area to be planned into grids, and determines a village center point based on the traffic characteristics of each grid obtained by the division; divides the area to be planned into multiple target coverage areas based on the village center point, and determines the number of preset candidate sites in each target coverage area based on preset candidate sites; determines corresponding candidate sites based on the number of preset candidate sites in each target coverage area, screens the candidate sites based on their base station matching parameters, and determines the target base station site of each target coverage area.

[0039] By dividing the planned area into grids, using the grid as the granularity to count the traffic characteristics, and then determining the village center point based on the traffic characteristics, the positioning accuracy of the village center point can be improved, thereby laying the foundation for improving the accuracy of base station site setting; by dividing the planned area into multiple target coverage areas based on the village center point, and then determining the corresponding target base station sites for different target coverage areas based on the number of preset candidate sites falling into the target coverage area and the base station matching parameters, it can be ensured that each village with a large number of people has a corresponding base station that can meet the traffic needs, thereby improving the accuracy of base station site setting; by automatically determining the target base station site according to the site planning task, reducing manual participation, the efficiency of site setting can be improved, and the accuracy of site setting can be further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1It is a schematic diagram of the structure of a base station site planning device in the hardware operating environment involved in the embodiment of the present invention;

[0041] Figure 2 This is a flow chart of a first embodiment of a base station site planning method according to the present invention;

[0042] Figure 3 Schematic diagram of the system modules of the base station site planning system of the present invention.

[0043] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0044] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0045] like Figure 1 As shown, Figure 1 It is a schematic diagram of the structure of a base station site planning device in the hardware operating environment involved in the embodiment of the present invention.

[0046] The base station site planning device in the embodiment of the present invention may be a PC or a server device, on which a virtual machine runs.

[0047] like Figure 1 As shown, the base station site planning device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0048] Those skilled in the art will understand that Figure 1 The base station site planning equipment structure shown in the figure does not constitute a limitation on the equipment, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0049] like Figure 1 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a base station site planning program.

[0050] exist Figure 1 In the base station site planning device shown, the network interface 1004 is mainly used to connect to the background server and communicate data with the background server; the user interface 1003 is mainly used to connect to the client (user end) and communicate data with the client; and the processor 1001 can be used to call the base station site planning program stored in the memory 1005 and execute the operations in the following base station site planning method.

[0051] Based on the above hardware structure, an embodiment of a base station site planning method of the present invention is proposed.

[0052] Reference Figure 2 , Figure 2 This is a flow chart of a first embodiment of a method for base station site planning according to the present invention, wherein the method comprises:

[0053] Step S10: receiving a site planning task for a planned area, dividing the planned area into grids, and determining a village center point based on traffic characteristics of each grid obtained by the division;

[0054] The base station site planning method of this embodiment is applied to a base station site planning device, which may be a terminal, a robot, or a PC device.

[0055] In this embodiment, when the base station site planning device receives a site planning task for the area to be planned, it will determine the area to be planned based on the site planning task. The site planning task can be triggered by the site planning personnel through the site planning application. The site planning personnel can set the area to be planned through the site planning application, and can also set information related to the site planning of the area to be planned through the site planning application, such as the village range, key roads, obstacles and ridge lines in the area to be planned.

[0056] After determining the area to be planned, the base station site planning equipment will perform three-dimensional rasterization on the area to be planned according to the preset grid granularity, and divide the area to be planned into multiple grids. Since the smaller the grid granularity, the higher the map accuracy of the corresponding rasterized area to be planned, but the generation efficiency will be affected, on the contrary, the larger the grid granularity, the lower the map accuracy of the corresponding rasterized area to be planned, but the generation efficiency is higher. Therefore, in order to take into account the calculation accuracy of complex terrain areas and the calculation efficiency of single open terrain areas, this implementation adopts dynamic grid granularity to grid the area to be planned, so that the raster granularity of complex terrain areas and population-concentrated areas is larger than the raster granularity of single open terrain areas.

[0057] After dividing the area to be planned into multiple grids, the corresponding traffic characteristics are obtained in units of grids. The traffic characteristics include but are not limited to data such as traffic volume and network flow. The traffic characteristics of the grid are compared with the traffic characteristics of the preset village grid to determine whether the grid meets the village characteristics. Then, the village coverage grid range is determined based on the grid that meets the village characteristics. The village center point can be determined based on the village coverage grid range.

[0058] In one implementation scenario, after the village coverage grid range is determined, the geometric center of the range can be determined according to the village coverage grid range as the village center point.

[0059] In another implementation scenario, after the village coverage grid range is determined, the weight value of the grid for calculating the village center point can be determined in combination with the attributes of the grid, and the village center point can be determined in combination with the weight values ​​of each grid in the village coverage grid range.

[0060] Step S20, dividing the area to be planned into a plurality of target coverage areas according to the village center point, and determining the number of preset candidate sites in each target coverage area according to the preset candidate sites;

[0061] In this embodiment, after determining the village center point, Delaunay triangles are constructed within the planned area based on the village center point. Multiple Delaunay triangles form a triangulated network. The characteristic of these Delaunay triangles is that each vertex is the center point of a different village, and the circumcircle of each triangle does not contain the center points of other villages within the surface.

[0062] The center of each triangle's circumcircle is then determined, and Tsai polygons are constructed based on these circumcircle centers. These polygons are then used to divide the planned area into multiple target coverage areas. It should be understood that each Tsai polygon contains only one discrete point (i.e., the village center).

[0063] After determining the target coverage area, the preset candidate sites in different target coverage areas can be determined from the preset candidate site set in the area to be planned, and the number of preset candidate sites in different target coverage areas can be counted. The preset candidate site set can be obtained from a preset knowledge graph or manually set by the site planner when triggering the site planning task.

[0064] A knowledge graph is a graph-based data structure consisting of nodes and edges. In a knowledge graph, each node represents an entity in the real world, and each edge represents a relationship between entities. The preset knowledge graph in this embodiment is pre-set by the site planning personnel, and the preset knowledge graph includes candidate site class entities, equipment class entities and coverage target class entities, among which the attributes of the candidate site class entities include latitude and longitude coordinates, altitude, distance to the transmission point and power access point, site reference rental price, electricity price, transmission fee, and other content related to the candidate site, as well as the candidate site planning transmission power supply engineering quantity and cost information; the equipment class entity mainly includes relevant information of various types of base stations, power supplies and transmission equipment considered for use in the current planning area, such as candidate towers, poles, power supplies, transmission, cables, antennas and other equipment models and parameters; the coverage target class entity mainly includes the total number of users in the area (such as a village), the number of active users, the target area call volume / flow, the target area historical business statistics and forecast information, the target road / line business demand situation, obstacles / ridge lines within the candidate site range and other related information. For general coverage areas, it is also necessary to perform statistical estimation of grid-based business density and include it in the entity attributes. In addition, the relationships between candidate site entities include adjacency, signal (with obstacles) obstruction, and height difference. The relationships between candidate site entities and equipment entities primarily fall into two categories: applicable and unapplicable. Relationships between candidate site entities and coverage target entities include coverage, obstruction, and height difference. These relationships also include the impact relationship between candidate sites and interference signal sources (uplink), and the impact relationship between coverage target areas and interference signal sources (downlink). When existing 2G / 3G / 4G networks exist within the target planning area, knowledge and information related to the target planning area are extracted through knowledge extraction from operator network call records and other sources. This structured, semi-structured, and unstructured data is then integrated into the knowledge graph.

[0065] Step S30, determining corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screening the candidate sites according to their base station matching parameters, and determining target base station sites in each target coverage area.

[0066] In this embodiment, after determining the number of preset candidate sites for different target coverage areas, the candidate sites for the target coverage area can be determined based on the number of preset candidate sites that fall within the target coverage area, and then the corresponding base station matching parameters can be matched for each candidate site based on the site attribute information of the candidate site. Among them, the site attribute information includes but is not limited to one or more of the latitude and longitude of the candidate site, altitude, power supply type, power cable laying distance, optical cable laying distance, etc. The site attribute information can be obtained from a preset knowledge graph; the base station matching parameters include station type, structural parameters (station height, antenna direction, downtilt angle, etc.), power supply transmission planning parameters, and equipment room deployment parameters.

[0067] In one implementation scenario, the steps for determining the base station matching parameters of a candidate site based on the site attribute information are specifically as follows: quantizing the site attribute information of the candidate site with a preset bit length, arranging it into a vector and splicing it so that each candidate site obtains a vector of the same dimension, and then performing a similarity comparison between the vector of the candidate site and the preset attribute vector in the preset site planning library (a cosine algorithm can be used). The preset site planning library stores the correspondence between different preset attribute vectors and corresponding base station matching parameters, and the preset base station matching parameters corresponding to the preset attribute vector with the highest similarity to the target configuration vector are used as the base station matching parameters of the corresponding candidate site.

[0068] In another implementation scenario, the step of determining the base station matching parameters of the candidate site based on the site attribute information is specifically as follows: the site attribute information of the candidate site is used as an input parameter, and the preset configuration parameter inference network is input. The preset configuration parameter inference network performs inference based on the input parameter and outputs the output parameter, i.e., the base station matching parameter. The preset configuration parameter inference network is a CNN (convolutional neural network) / GNN (graph neural network) type network. The network is constructed by constructing a training set using the site attribute information of the established base stations in the preset knowledge graph and the corresponding base station matching parameters, and the training set is obtained after a large amount of training.

[0069] After determining the base station matching parameters of the candidate site, it is necessary to use the preset ray model of the digital middle station to simulate and evaluate the coverage of the candidate site, and determine the signal coverage strength of the candidate site to the different grids around it. The signal coverage strength includes the reference signal received power (RSRP). The effective grid corresponding to the candidate site is determined based on whether its signal coverage strength to the grid is higher than the preset signal strength threshold. The candidate site is screened according to the relevant information of the effective grid corresponding to the candidate site (including the maximum effective coverage area, traffic contribution rate and / or data service contribution rate) to determine the target base station site of each target coverage area. Among them, the preset ray model is pre-set by the site selection planner, and the input of the preset ray model is the base station matching parameters of the candidate site, and the output is the signal coverage strength of the candidate site to the different grids around it. The process of constructing the preset ray model is as follows: based on the base station matching parameters (mainly station height, antenna direction angle, and downtilt angle), the base station antenna position is used as the radiation source (i.e., the center of the sphere). A regular 3D icosahedron is constructed based on the base station antenna position. Each face of the icosahedron forms a triangular pyramid with the center of the sphere (the base station antenna position). Starting from the center of the sphere, the three ray edges of this triangular pyramid are used to find the intersection with each reflection surface in the three-dimensional map. Generally, due to the complex environment, a triangular pyramid will encounter complex reflection surfaces after extension. First, the focus of the complex reflection surface is calculated. Then, each reflection surface is triangulated, and different reflection angles are calculated for different faces to generate new reflection triangular pyramid segments. This process continues until the propagation distance is far enough and the signal strength decays below a certain threshold. The signal characteristics of the effective grids passed by these rays are then included in the relevant grids, and the influence of all rays is superimposed to obtain the signal coverage strength of each base station signal in each grid.

[0070] It should be noted that the maximum effective coverage area is determined through simulation evaluation to determine the signal coverage strength of base stations at different sites to different grids around them. The signal coverage strength includes the reference signal received power (RSRP), and whether the signal coverage strength of the grid is higher than the preset signal strength threshold. If so, it is determined that the grid can be effectively covered by the corresponding base station, and the grid is used as the effective coverage grid of the base station. If not, the grid is not used as the effective coverage grid of the base station. In this way, all the effective coverage grids of the base station are determined recursively, which is the maximum effective coverage area of ​​the site.

[0071] Furthermore, in order to improve the accuracy of the division of the maximum effective coverage area, the signal coverage strength can also include the signal-to-noise ratio (SNR) to determine the maximum effective coverage area of ​​the site in combination with RSRP and SNR. In this scenario, the grid is used as the effective coverage grid of the site only when both RSRP and SNR are greater than the corresponding thresholds.

[0072] The traffic contribution rate and data service contribution rate are determined after the maximum effective coverage area of ​​the site is determined. The maximum effective coverage area corresponding to each site is used as a benchmark, and the traffic contribution rate and data service contribution rate of each site in its maximum effective coverage area are determined according to the specific traffic and data service conditions of each grid in the maximum effective coverage area.

[0073] In this embodiment, by dividing the planned area into grids, using the grid as the granularity to count the traffic characteristics, and then determining the village center point based on the traffic characteristics, the positioning accuracy of the village center point can be improved, thereby laying the foundation for improving the accuracy of base station site setting; by dividing the planned area into multiple target coverage areas based on the village center point, and then determining the corresponding target base station sites for different target coverage areas based on the number of preset candidate sites falling into the target coverage area and the base station matching parameters, it can be ensured that each village where people gather has a corresponding base station that can meet the traffic needs, thereby improving the accuracy of base station site setting; by automatically determining the target base station site according to the site planning task, reducing manual participation, it can improve the efficiency of site setting, and further improve the accuracy of site setting.

[0074] Furthermore, based on the first embodiment of the base station site planning method of the present invention, a second embodiment of the base station site planning method of the present invention is proposed.

[0075] In the above step S30, the step of screening the candidate sites according to the base station matching parameters of the candidate sites to determine the target base station site of each target coverage area includes:

[0076] Step A1: if the number of preset candidate sites in the target coverage area is 0, determining a preset candidate site in an adjacent target coverage area of ​​the target coverage area;

[0077] Step A2: determining the RSRP value of each grid of the target coverage area for each preset candidate site in the adjacent target coverage area, and counting the proportion of coverage grids for which the RSRP value of each preset candidate site in the adjacent target coverage area for the grid of the target coverage area is greater than a preset RSRP threshold;

[0078] Step A3: determining, among the preset candidate sites in the adjacent target coverage area, sites whose coverage grid ratio is greater than a preset ratio threshold as candidate sites for the target coverage area;

[0079] Step A4: determining the sum of RSRP values ​​of all grids of the target coverage area for each candidate site, and determining the candidate site with the largest sum as the target base station site of the target coverage area.

[0080] This embodiment is aimed at the scenario where the number of preset candidate sites in the target coverage area is 0. In this scenario, there are no preset candidate sites available for selection in the current target coverage area. In order to meet the traffic demand in the current target coverage area, the preset candidate sites in the adjacent target coverage areas can be selected to determine the candidate URLs of the current target coverage area.

[0081] Specifically, a preset candidate site in an adjacent target coverage area of ​​the current target coverage area is determined, and based on the simulation evaluation results, the RSRP value of the preset candidate site (i.e., the adjacent site) in the adjacent target coverage area to each grid of the current target coverage area is determined, and the grid in the current target coverage area with an RSRP value greater than a preset RSRP threshold is determined as the effective coverage grid of the adjacent site in the current target coverage area, and the ratio of the number of all effective coverage grids of the adjacent site in the current target coverage area to all grids in the current target coverage area is counted, i.e., the coverage grid ratio. The coverage grid ratio reflects the coverage rate of the adjacent site to the current target coverage area. The larger the coverage grid ratio, the higher the signal coverage rate of the adjacent site to the current target coverage area. Among them, the preset RSRP threshold is set in advance by the site planner or base station site planning according to the basic traffic requirements.

[0082] Therefore, after determining the coverage grid ratio, the adjacent site whose coverage grid ratio is greater than the preset ratio threshold can be determined as the candidate site of the current target coverage area, and the sum of the RSRP values ​​of each candidate site for all grids of the current target coverage area can be further determined, and the candidate site with the largest sum can be determined as the target base station site of the current target coverage area.

[0083] It is understandable that if the coverage grid ratios of adjacent sites are all less than or equal to the preset ratio threshold, the current target coverage area can be marked to prompt site planners to manually set the corresponding target base station site for the area.

[0084] In this embodiment, when there are no preset candidate sites available for selection in the target coverage area, the target base station site of the target coverage area is determined from the adjacent sites based on the RSRP value of the grid, so that the basic traffic requirements of most areas in the target coverage area can be met, and by determining the candidate site with the largest sum of the RSRP values ​​of all grids in the current target coverage area as the target base station site of the current target coverage area, the signal coverage strength of the determined target base station site for the current target coverage area can be the highest, thereby improving the user experience in the current target coverage area.

[0085] Furthermore, based on the aforementioned embodiments of the base station site planning method of the present invention, a third embodiment of the base station site planning method of the present invention is proposed. In the above step S30, the step of screening the candidate sites according to the base station matching parameters of the candidate sites and determining the target base station site of each target coverage area includes:

[0086] Step B1: if the number of preset candidate sites in the target coverage area is 1, determining the preset candidate site corresponding to the target coverage area as a candidate site for the target coverage area;

[0087] Step B2, respectively determining the maximum effective coverage area and the target effective coverage area of ​​the candidate site and adjacent sites adjacent to the candidate site;

[0088] Step B3, determining a first overlap between the maximum effective coverage area of ​​the candidate site and the adjacent site, and determining a second overlap between the target coverage area of ​​the effective coverage of the candidate site and the adjacent site;

[0089] Step B4: determining a target base station site in the target coverage area according to the first overlap and the second overlap.

[0090] This embodiment is aimed at a scenario where the number of preset candidate sites in the target coverage area is 1. In this scenario, there is only one preset candidate site in the current target coverage area. In order to reduce unnecessary coverage duplication sites as much as possible on the basis of meeting the traffic demand of the current target coverage area to reduce costs, this embodiment will use the preset candidate site in the current target coverage area as a candidate site, determine the coverage overlap between the candidate site and the adjacent site, and perform site deduplication processing according to the size of the coverage overlap.

[0091] Specifically, based on the simulation evaluation results, the RSRP values ​​of the preset candidate sites (i.e., adjacent sites) and the candidate sites for different grids around them in the adjacent target coverage area are determined, and the maximum effective coverage area of ​​the site and the target coverage area effectively covered by the site are determined. The method for determining the maximum effective coverage area is similar to that of the aforementioned embodiment and will not be repeated here; the step of determining the target coverage area effectively covered by the site is to determine the coverage grid ratio of the site to each target coverage area around it, and determine the target coverage area whose coverage grid ratio is greater than a preset ratio threshold as the target coverage area effectively covered by the site.

[0092] After determining the maximum effective coverage area and the target coverage area of ​​effective coverage of the candidate site, as well as the maximum effective coverage area and the target coverage area of ​​effective coverage of the adjacent site, the maximum effective coverage area of ​​the candidate site and the adjacent site are compared to determine a first degree of overlap; the target coverage area of ​​effective coverage of the candidate site and the adjacent site are compared to determine a second degree of overlap; the target base station site of the target coverage area is determined based on the first degree of overlap and the second degree of overlap, specifically, if the first degree of overlap is less than the first degree of overlap threshold, and / or the second degree of overlap is less than the second degree of overlap threshold, the candidate site is used as the target base station site of the target coverage area; if the first degree of overlap is greater than or equal to the first degree of overlap threshold, and the second degree of overlap is greater than or equal to the second degree of overlap threshold, the adjacent site is used as a mergeable site, so as to determine a target base station site for the target coverage area based on the candidate site and the mergeable site.

[0093] Furthermore, the above-mentioned step of determining the target base station site of the target coverage area based on the candidate sites and the mergeable sites is specifically as follows: determining the traffic contribution rate and data service contribution rate of all grids within the maximum effective coverage area corresponding to the candidate sites and the mergeable sites, and then scoring the candidate sites and the mergeable sites according to the maximum effective coverage area, traffic contribution rate and data service contribution rate, respectively, to obtain a site coverage score (see the fourth embodiment below), and using the site with the highest site coverage score as the target base station site of the target coverage area. Sites with lower site coverage scores can also be marked as target merge sites of the target base station site, so that site planners can perform corresponding site merging processing.

[0094] In this embodiment, in a scenario where there is only one candidate site in the current target coverage area, by determining the overlap between the candidate site and the adjacent site, the target base station site is determined from the candidate site and the adjacent site based on the overlap between the two. This can reduce the number of target base station sites to be established in the area to be planned while ensuring that the coverage area of ​​each target base station site remains basically unchanged, thereby reducing the site construction cost and base station operation cost.

[0095] Furthermore, based on the aforementioned embodiments of the base station site planning method of the present invention, a fourth embodiment of the base station site planning method of the present invention is proposed. In the above step S30, the step of screening the candidate sites according to the base station matching parameters of the candidate sites and determining the target base station site of each target coverage area includes:

[0096] Step C1: if the number of preset candidate sites in the target coverage area is greater than or equal to 2, determining the preset candidate site corresponding to the target coverage area as a candidate site for the target coverage area;

[0097] Step C2: determining the maximum effective coverage area of ​​the candidate site, the traffic contribution rate of the candidate site to the maximum effective coverage area, and the data service contribution rate of the candidate site to the maximum effective coverage area; and determining a site coverage score for each candidate site based on the maximum effective coverage area, the traffic contribution rate, and the data service contribution rate;

[0098] Step C3: Determine the candidate site with the highest site coverage score as the target base station site of the target coverage area.

[0099] This embodiment is aimed at the scenario where the number of preset candidate sites in the target coverage area is greater than or equal to 2. In this scenario, there are multiple preset candidate sites in the current target coverage area. In order to reduce unnecessary coverage duplication sites as much as possible on the basis of meeting the traffic demand of the current target coverage area to reduce costs, this embodiment will use all preset candidate sites in the current target coverage area as candidate sites, and determine the maximum effective coverage area of ​​each candidate site, the traffic contribution rate of the candidate site to its corresponding maximum effective coverage area, and the data service contribution rate of the candidate site to its corresponding maximum effective coverage area based on the simulation evaluation results. Then, based on the preset site coverage scoring formula, the site coverage score of each candidate site is determined according to the maximum effective coverage area, traffic contribution rate, and data service contribution rate. Among them, the preset site coverage scoring formula can be a preset first formula, as follows:

[0100] L(D i , P j )=α·S ij +β·U ij +γ·V ij ,

[0101] Among them, L(D i , P j ) is the target coverage area D i Candidate site P j Site coverage score;

[0102] S ij is the maximum effective coverage area;

[0103] U ij Traffic contribution rate;

[0104] V ij Contribution rate to data services;

[0105] α, β, and γ are coefficients corresponding to S, U, and V, respectively, and are set in advance by site planners based on local business distribution.

[0106] After determining the site coverage score of each candidate site, the candidate site with the highest site coverage score is determined as the target base station site of the target coverage area.

[0107] Furthermore, the preset first formula only considers the coverage effect of the site for the planned area, but does not reflect the cost considerations of site construction and utilization of existing infrastructure. Therefore, this embodiment further proposes that the preset site coverage scoring formula can also be a preset second formula, as follows:

[0108] QL(D i , P j )=α·S ij +β·U ij +γ·V ij +δ·W ij ,

[0109] Among them, QL(D i , P j ) is the target coverage area D i Candidate site P j Site coverage score;

[0110] S ij is the maximum effective coverage area;

[0111] U ij Traffic contribution rate;

[0112] V ij Contribution rate to data services;

[0113] W ij is the cost influencing factor;

[0114] α, β, γ cost situation settings.

[0115] It should be noted that the cost influencing factor is composed of the cost of power supply, computer room and deployment mode, namely: W ij =1 / (k1·W1+k2·W2+k3·W3+b).

[0116] Among them, W1 is the influencing factor of power supply cost. For existing sites equipped with switching power supplies, if the power consumption of the newly built 4G / 5G base station equipment is within the power range of the existing power supply and no additional investment is required for power supply, then W1 = 0; if the power supply power matching the current site is insufficient, it is necessary to call the capacity expansion plan of the power supply object matching the current base station plan in the knowledge graph, including increasing power by adding power modules, replacing the entire equipment, etc. For base stations deployed in remote areas with low power consumption, the cost of using candidate methods such as solar and wind power hybrid energy will also be evaluated, and the W1 value of the relevant plan will be provided based on the cost information in the knowledge graph;

[0117] W2 is a factor influencing transmission costs. For sites that don't require fiber capacity expansion, W2 = 0. If the estimated transmission bandwidth required by the current site's services exceeds the maximum bandwidth provided by the current transmission line, multiple transmission capacity expansion options are typically evaluated using a knowledge graph. Once a transmission option is selected, W2 reflects the current investment required to implement the planned transmission option.

[0118] W3 is the factor affecting supporting equipment. If the current base station construction process does not require additional equipment room cables and other equipment, W3 = 0. If the new base station's related equipment requires additional equipment rooms / cabinets and other supporting facilities, W3 reflects the investment in supporting equipment after the selected solution.

[0119] b is the bias term, which is mainly used to ensure W ij The denominator is not 0, and W is adjusted accordingly ij The degree of impact on QL.

[0120] When merging multiple candidate sites in the G(i) region, use QL(D i , P j ) instead of L(D i , P j ), factors influencing site selection and construction costs can be taken into account. When deploying a site at an existing site, the cost advantage compared to building a new site is very significant.

[0121] Furthermore, after obtaining a set of target base station sites and their base station matching parameters by performing site planning on the planned area through the aforementioned embodiment, it is also necessary to simulate this set of target base station sites through a ray model to determine the SNR value (signal-to-noise ratio) of the grid in the target coverage area, and then evaluate the rationality of the current planning scheme based on the SNR value.

[0122] Specifically, the SNR value of the target base station site for the grid in the target coverage area corresponding to it is determined, the grid area with an SNR value lower than the preset SNR threshold is determined as a high-noise area, the SNR value of other stations around the high-noise area is determined, and it is determined whether the value is also lower than the preset SNR threshold. If so, the high-noise area is marked and fed back to the site planner.

[0123] Furthermore, if secondary site planning is required for the marked high-noise area, a vector ring can be constructed through the adjacent sites in the noise area, the center coordinates of the vector ring can be calculated, and the center coordinates can be used as the recommended new site coordinates and fed back to the site planners.

[0124] The present invention also provides a base station site planning system, referring to Figure 3 , the base station site planning system includes:

[0125] The center determination module 10 is configured to receive a site planning task for a region to be planned, divide the region to be planned into grids, and determine a village center point based on traffic characteristics of each grid obtained by the division;

[0126] a quantity determination module 20, configured to divide the area to be planned into a plurality of target coverage areas according to the village center point, and determine the number of preset candidate sites in each target coverage area according to the preset candidate sites;

[0127] The site determination module 30 is used to determine the corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screen the candidate sites according to their base station matching parameters, and determine the target base station site of each target coverage area.

[0128] Optionally, the site determination module is further configured to:

[0129] If the number of preset candidate sites in the target coverage area is 0, determining a preset candidate site in an adjacent target coverage area of ​​the target coverage area;

[0130] Determine a reference signal received power (RSRP) value of a preset candidate site in the adjacent target coverage area for each grid of the target coverage area, and count the proportion of coverage grids in which the RSRP value of each preset candidate site in the adjacent target coverage area for the grid of the target coverage area is greater than a preset RSRP threshold;

[0131] Determine, among the preset candidate sites in the adjacent target coverage area, sites whose coverage grid ratio is greater than a preset ratio threshold as candidate sites for the target coverage area;

[0132] The sum of RSRP values ​​of the candidate sites for all grids of the target coverage area is determined, and the candidate site with the largest sum is determined as the target base station site of the target coverage area.

[0133] Optionally, the site determination module is further configured to:

[0134] If the number of preset candidate sites in the target coverage area is 1, determining the preset candidate site corresponding to the target coverage area as the candidate site for the target coverage area;

[0135] Determining respectively the maximum effective coverage area and the target effective coverage area of ​​the candidate site and adjacent sites adjacent to the candidate site;

[0136] Determine a first overlap of the maximum effective coverage area of ​​the candidate site and the adjacent site, and determine a second overlap of the target coverage area of ​​the effective coverage of the candidate site and the adjacent site;

[0137] A target base station site of the target coverage area is determined according to the first overlap and the second overlap.

[0138] Optionally, the site determination module is further configured to:

[0139] If the first overlap is less than a first overlap threshold, and / or the second overlap is less than a second overlap threshold, taking the candidate site as the target base station site of the target coverage area;

[0140] If the first overlap is greater than or equal to a first overlap threshold, and the second overlap is greater than or equal to a second overlap threshold, the adjacent sites are considered as sites that can be merged;

[0141] The target base station site of the target coverage area is determined according to the candidate sites and the mergeable sites.

[0142] Optionally, the site determination module is further configured to:

[0143] If the number of preset candidate sites in the target coverage area is greater than or equal to 2, determining the preset candidate site corresponding to the target coverage area as the candidate site of the target coverage area;

[0144] Determining the maximum effective coverage area of ​​the candidate site, the traffic contribution rate of the candidate site to the maximum effective coverage area, and the data service contribution rate of the candidate site to the maximum effective coverage area, and determining a site coverage score for each candidate site based on the maximum effective coverage area, the traffic contribution rate, and the data service contribution rate;

[0145] The candidate site with the highest site coverage score is determined as the target base station site of the target coverage area.

[0146] Optionally, the site determination module is further configured to:

[0147] Determining cost impact factors of the candidate site, the cost impact factors including power supply cost impact factor, transmission cost impact factor and supporting equipment impact factor;

[0148] The site coverage score of each candidate site is determined based on the cost impact factor, the maximum effective coverage area, the voice traffic contribution rate and the data service contribution rate.

[0149] Optionally, the site determination module is further configured to:

[0150] Acquire site attribute information of the candidate site from a preset knowledge graph, and vector quantize the site attribute information to obtain a target configuration vector of the candidate site;

[0151] Determine the similarity between the target configuration vector and a preset attribute vector in a preset site planning library, and use the preset base station matching parameters corresponding to the preset attribute vector with the highest similarity to the target configuration vector as the base station matching parameters of the candidate site.

[0152] The methods executed by the above program units can refer to the various embodiments of the base station site planning method of the present invention, and will not be repeated here.

[0153] The present invention also provides a base station site planning device, which includes: a memory, a processor, and a base station site planning program stored in the memory and runnable on the processor. The method implemented when the base station site planning program is executed by the processor can refer to the various embodiments of the base station site planning method of the present invention and will not be repeated here.

[0154] The present invention also provides a computer storage medium.

[0155] The computer storage medium of the present invention stores a base station site planning program, which implements the steps of the base station site planning method described above when executed by a processor.

[0156] Among them, the method implemented when the base station site planning program running on the processor is executed can refer to the various embodiments of the base station site planning method of the present invention, and will not be repeated here.

[0157] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0158] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0159] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0160] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A base station site planning method, characterized in that: The base station site planning method comprises the following steps: receiving a site planning task for a planned area, dividing the planned area into grids, and determining a village center point based on traffic characteristics of each grid obtained by the division; Dividing the area to be planned into a plurality of target coverage areas according to the village center point, and determining the number of preset candidate sites in each target coverage area according to the preset candidate sites; Determine corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screen the candidate sites according to base station matching parameters of the candidate sites, and determine the target base station site of each target coverage area; The steps of determining corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screening the candidate sites according to the base station matching parameters of the candidate sites, and determining the target base station site of each target coverage area include: If the number of preset candidate sites in the target coverage area is 0, determining a preset candidate site in an adjacent target coverage area of ​​the target coverage area; Determine a reference signal received power (RSRP) value of a preset candidate site in the adjacent target coverage area for each grid of the target coverage area, and count the proportion of coverage grids in which the RSRP value of each preset candidate site in the adjacent target coverage area for the grid of the target coverage area is greater than a preset RSRP threshold; Determine, among the preset candidate sites in the adjacent target coverage area, sites whose coverage grid ratio is greater than a preset ratio threshold as candidate sites for the target coverage area; The sum of RSRP values ​​of the candidate sites for all grids of the target coverage area is determined, and the candidate site with the largest sum is determined as the target base station site of the target coverage area.

2. The base station site planning method according to claim 1, wherein: The steps of determining corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screening the candidate sites according to base station matching parameters of the candidate sites, and determining target base station sites in each target coverage area include: If the number of preset candidate sites in the target coverage area is 1, determining the preset candidate site corresponding to the target coverage area as the candidate site for the target coverage area; Determining respectively the maximum effective coverage area and the target effective coverage area of ​​the candidate site and adjacent sites adjacent to the candidate site; Determine a first overlap of the maximum effective coverage area of ​​the candidate site and the adjacent site, and determine a second overlap of the target coverage area of ​​the effective coverage of the candidate site and the adjacent site; A target base station site of the target coverage area is determined according to the first overlap and the second overlap.

3. The base station site planning method according to claim 2, wherein: The step of determining the target base station site of the target coverage area according to the first overlap and the second overlap comprises: If the first overlap is less than a first overlap threshold, and / or the second overlap is less than a second overlap threshold, taking the candidate site as the target base station site of the target coverage area; If the first overlap is greater than or equal to a first overlap threshold, and the second overlap is greater than or equal to a second overlap threshold, the adjacent sites are considered as sites that can be merged; The target base station site of the target coverage area is determined according to the candidate sites and the mergeable sites.

4. The base station site planning method according to claim 1, wherein: The steps of determining corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screening the candidate sites according to base station matching parameters of the candidate sites, and determining target base station sites in each target coverage area include: If the number of preset candidate sites in the target coverage area is greater than or equal to 2, determining the preset candidate site corresponding to the target coverage area as the candidate site of the target coverage area; Determining the maximum effective coverage area of ​​the candidate site, the traffic contribution rate of the candidate site to the maximum effective coverage area, and the data service contribution rate of the candidate site to the maximum effective coverage area, and determining a site coverage score for each candidate site based on the maximum effective coverage area, the traffic contribution rate, and the data service contribution rate; The candidate site with the highest site coverage score is determined as the target base station site of the target coverage area.

5. The base station site planning method according to claim 4, wherein: The step of determining the site coverage score of each candidate site according to the maximum effective coverage area, the traffic contribution rate, and the data service contribution rate comprises: Determining cost impact factors of the candidate site, the cost impact factors including power supply cost impact factor, transmission cost impact factor and supporting equipment impact factor; The site coverage score of each candidate site is determined based on the cost impact factor, the maximum effective coverage area, the voice traffic contribution rate and the data service contribution rate.

6. The base station site planning method according to claim 1, wherein: Before the step of screening the candidate sites according to the base station matching parameters of the candidate sites, the method further includes: Acquire site attribute information of the candidate site from a preset knowledge graph, and vector quantize the site attribute information to obtain a target configuration vector of the candidate site; Determine the similarity between the target configuration vector and a preset attribute vector in a preset site planning library, and use the preset base station matching parameters corresponding to the preset attribute vector with the highest similarity to the target configuration vector as the base station matching parameters of the candidate site.

7. A base station site planning system, characterized in that: The base station site planning system includes: A center determination module is configured to receive a site planning task for a region to be planned, divide the region to be planned into grids, and determine a village center point based on traffic characteristics of each grid obtained by the division; a quantity determination module, configured to divide the area to be planned into a plurality of target coverage areas according to the village center point, and determine the number of preset candidate sites in each target coverage area according to the preset candidate sites; a site determination module, configured to determine corresponding candidate sites according to the number of preset candidate sites in each target coverage area, screen the candidate sites according to their base station matching parameters, and determine a target base station site in each target coverage area; The site determination module is further configured to: if the number of preset candidate sites in the target coverage area is 0, determine a preset candidate site in an adjacent target coverage area of ​​the target coverage area; Determine a reference signal received power (RSRP) value of a preset candidate site in the adjacent target coverage area for each grid of the target coverage area, and count the proportion of coverage grids in which the RSRP value of each preset candidate site in the adjacent target coverage area for the grid of the target coverage area is greater than a preset RSRP threshold; Determine, among the preset candidate sites in the adjacent target coverage area, sites whose coverage grid ratio is greater than a preset ratio threshold as candidate sites for the target coverage area; The sum of RSRP values ​​of the candidate sites for all grids of the target coverage area is determined, and the candidate site with the largest sum is determined as the target base station site of the target coverage area.

8. A base station site planning device, characterized in that: The base station site planning device includes: a memory, a processor, and a base station site planning program stored in the memory and executable on the processor. When the base station site planning program is executed by the processor, the steps of the base station site planning method according to any one of claims 1 to 6 are implemented.

9. A computer storage medium, characterized in that The computer storage medium stores a base station site planning program, which, when executed by a processor, implements the steps of the base station site planning method according to any one of claims 1 to 6.

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