Characterization Method, Device, Electronic Device and Storage Medium for Base Station Density

Abstract

The present disclosure relates to the technical field of data visualization, and discloses a method, apparatus, electronic device, and storage medium for characterizing base station density, including: dividing a target area into a plurality of area units; iteratively performing the following area unit splitting process: determining whether the number of base stations associated with each area unit of the lowest level meets a preset base station number condition; splitting the area units that meet the base station number condition into a plurality of area units of the next lower level; ending the area unit splitting process when the size characteristics of the area units of the next lower level meet a preset splitting stop condition, and determining the number of base stations in each area unit of the next lower level, otherwise performing the next area unit splitting process; after the area unit splitting process ends, for area units of all area levels, adding visual density characterization information to each area unit according to the area of each area unit and the number of base stations in the area unit.

Description

Technical Field

[0001] The present disclosure relates to the technical field of data visualization, for example, to a method, an apparatus, an electronic device, and a storage medium for characterizing base station density. Background Art

[0002] In the communication field, intuitively and accurately displaying the base station density in each area helps to better understand the existing base station layout and network coverage, which provides a reliable scientific basis for future base station construction layout, network optimization, and resource allocation. However, in the related art, the display result of the base station density is relatively rough, and the base station density in different areas cannot be displayed in a refined manner.

[0003] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0004] To have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. This summary is not a comprehensive review, nor is it intended to identify key / important elements or delineate the scope of protection of these embodiments, but rather serves as a preface to the subsequent detailed description.

[0005] Embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a storage medium for characterizing base station density, which can display the base station density in different areas in a refined manner.

[0006] According to a first aspect of the present disclosure, a method for characterizing base station density is provided, including:

[0007] Dividing a target area into a plurality of primary area units, and determining the number of base stations in each current primary area unit;

[0008] Iteratively executing the following area unit splitting process:

[0009] For each current lowest-level area unit, determining whether the number of base stations associated with each area unit meets a preset base station number condition;

[0010] In the case of determining an area unit that meets the base station number condition, splitting the area unit that meets the base station number condition into a plurality of next-level area units;

[0011] When the size feature of the next-level area unit does not meet the splitting stop condition, performing the next area unit splitting process;

[0012] When the size characteristics of the area units at the next level meet the preset splitting stop condition, determine the number of base stations in each area unit at the next level, and end the area unit splitting process;

[0013] After the area unit splitting process ends, for area units of all area levels, according to the area of each area unit and the number of base stations in that area unit, add visual density characterization information to each area unit.

[0014] In some embodiments, the number of base stations associated with each area unit includes: the number of base stations in that area unit, and the number of adjacent area units with zero base stations in that area unit.

[0015] The base station number condition includes: the number of base stations in that area unit is greater than zero, and the number of adjacent area units with zero base stations in that area unit is greater than a preset number threshold.

[0016] In some embodiments, the size characteristics of the area units at the next level include: side length, and / or, area. The splitting stop condition includes: each size characteristic of the area unit at the next level is less than the corresponding size threshold.

[0017] In some embodiments, for area units of all area levels, according to the area of each area unit and the number of base stations in that area unit, adding visual density characterization information to each area unit includes:

[0018] For area units of all area levels, according to the area of each area unit and the number of base stations in that area unit, determine the base station density of each area unit;

[0019] According to the base station density of each area unit, add visual density characterization information to each area unit.

[0020] In some embodiments, according to the base station density of each area unit, adding visual density characterization information to each area unit includes:

[0021] According to the base station density of each area unit, determine the color parameter of each area unit;

[0022] Based on the color parameter of each area unit, fill each area unit with the corresponding color, where different colors represent different base station density situations.

[0023] In some embodiments, according to the base station density of each area unit, determining the color parameter of each area unit includes:

[0024] Among the base station densities of all area units, determine the maximum base station density and the minimum base station density;

[0025] Based on the maximum base station density and the minimum base station density, multiple density intervals are divided, and corresponding color parameters are assigned to each density interval;

[0026] Take the color parameter of the density interval to which the base station density of each regional unit belongs as the color parameter of this regional unit.

[0027] In some embodiments, the regional unit splitting process further includes: ending the regional unit splitting process when no regional unit that meets the base station quantity condition is determined.

[0028] According to a second aspect of the present disclosure, there is provided a device for characterizing base station density. The calculation device includes:

[0029] A primary partitioning module, configured to partition a target area into multiple primary regional units and determine the number of base stations in each current primary regional unit;

[0030] An iterative partitioning module, configured to iteratively execute the following regional unit splitting process:

[0031] For each current lowest-level regional unit, determine whether the number of base stations associated with each regional unit meets a preset base station quantity condition;

[0032] When a regional unit that meets the base station quantity condition is determined, split the regional unit that meets the base station quantity condition into multiple next-level regional units;

[0033] When the size characteristics of the next-level regional units do not meet the splitting stop condition, perform the next regional unit splitting process;

[0034] When the size characteristics of the next-level regional units meet the preset splitting stop condition, determine the number of base stations in each next-level regional unit and end the regional unit splitting process;

[0035] A density calculation module, configured to, after the regional unit splitting process ends, for all area-level regional units, add visual density characterization information to each regional unit according to the area of each regional unit and the number of base stations in this regional unit.

[0036] According to a third aspect of the present disclosure, there is provided an electronic device. The electronic device includes a processor and a memory storing program instructions. The processor is configured to execute the method for characterizing base station density provided in the first aspect of the present disclosure when running the program instructions.

[0037] According to a fourth aspect of the present disclosure, there is provided a storage medium. Computer program instructions are stored in the storage medium. When the computer program instructions are run by a processor, the method for characterizing base station density provided in the first aspect of the present disclosure is executed.

[0038] The method, device, electronic device, and storage medium for characterizing base station density provided by the embodiments of the present disclosure can achieve the following technical effects:

[0039] The method for characterizing base station density provided by the embodiments of the present disclosure first divides a target area into multiple primary area units, and then, according to the number of base stations in the area units, splits the area units that meet preset conditions once or multiple times to obtain area units with smaller areas, thereby realizing the differentiation of the areas of the area units. Then, according to the area and the number of base stations of each area unit, the differential density characterization information of area units of various area sizes is determined, and the base station density of each area unit is characterized by adding visual density characterization information to each area unit, so as to finely display the base station density of different areas.

[0040] The above general description and the following description are only exemplary and explanatory, and are not used to limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] One or more embodiments are exemplarily illustrated by corresponding drawings. These exemplary illustrations and the drawings do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a scale limitation, and among them:

[0042] Figure 1 is a flowchart of a method for characterizing base station density provided by the embodiments of the present disclosure;

[0043] Figure 2 is a distribution diagram of multiple primary area units provided by the embodiments of the present disclosure;

[0044] Figure 3 is another distribution diagram of multiple primary area units provided by the embodiments of the present disclosure;

[0045] Figure 4 is a splitting diagram of an area unit provided by the embodiments of the present disclosure;

[0046] Figure 5 is another splitting diagram of an area unit provided by the embodiments of the present disclosure;

[0047] Figure 6 is a flowchart of another method for characterizing base station density provided by the embodiments of the present disclosure;

[0048] Figure 7 is a flowchart of another method for characterizing base station density provided by the embodiments of the present disclosure;

[0049] Figure 8It is a schematic structural diagram of a device for characterizing the base station density provided by an embodiment of the present disclosure;

[0050] Figure 9 It is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure. Detailed implementation manners

[0051] In order to be able to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for reference and illustration only, and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of explanation, numerous details are provided to give a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other instances, well-known structures and devices may be shown in a simplified manner to simplify the drawings.

[0052] In the specification and claims of the embodiments of the present disclosure and the above-mentioned accompanying drawings, the terms "first", "second", etc. are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so as to implement the embodiments of the present disclosure described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion.

[0053] Unless otherwise specified, the term "plurality" means two or more.

[0054] In the embodiments of the present disclosure, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B.

[0055] The term "and / or" is a description of the associated relationship of an object, indicating that there can be three relationships. For example, A and / or B means: A or B, or, the three relationships of A and B.

[0056] The term "corresponding" may refer to an associated relationship or a binding relationship. A corresponding to B means that there is an associated relationship or a binding relationship between A and B.

[0057] In the field of communication, intuitively and accurately displaying the base station density in each area helps to better understand the existing base station layout and network coverage, which provides a reliable scientific basis for future base station construction layout, network optimization, and resource allocation. However, in the related art, the display result of the base station density is relatively rough and cannot display the base station density situation in different areas in a refined manner.

[0058] Embodiments of the present disclosure provide an electronic device, which is a device with computing capabilities. For example, the electronic device can be a personal computer, a server, or a network device, etc. The electronic device can be used to execute the method for characterizing the base station density provided by the embodiments of the present disclosure.

[0059] Combined with the electronic device provided by the embodiments of the present disclosure, the embodiments of the present disclosure provide a method for characterizing the base station density. Figure 1 As shown, the method for characterizing the base station density includes:

[0060] S101, the electronic device divides the target area into multiple primary area units and determines the number of base stations in each current primary area unit.

[0061] In the embodiments of the present disclosure, the target area is the area for which the base station density needs to be characterized. For example, the specific scope of the target area can be determined according to actual design needs. For example, the target area can be a continent, a country, an administrative province, a city, etc.

[0062] In the embodiments of the present disclosure, the target area can be divided to obtain multiple area units. Among them, the area units obtained by the first division of the target area are defined as primary area units. The shape and size of the area units can be determined according to actual design needs. For example, the shape of the area unit can be a regular hexagon, a square, an equilateral triangle, etc. As Figure 2 shown, a target area can be first divided into multiple regular hexagons, and the Figure 2 regular hexagons therein are used as primary area units. As Figure 3 shown, a target area can be first divided into multiple squares, and the Figure 3 squares therein are used as primary area units.

[0063] After S101, the electronic device iteratively executes the area unit splitting process, where one area unit splitting process includes the following S102 to S103.

[0064] S102, the electronic device determines whether the number of base stations associated with each current lowest-level area unit satisfies a preset base station number condition.

[0065] In the embodiments of the present disclosure, the area units referred to by the lowest-level area units are related to the number of times of the current area unit splitting process. If the current execution is the first area unit splitting process, then the lowest-level area units refer to the primary area units. If the current execution is the area unit splitting process after the first area unit splitting process, then the lowest-level area units refer to the area unit splits split by the previous area unit splitting process.

[0066] In the embodiments of the present disclosure, it is necessary to determine the number of base stations in each regional unit of the lowest level. Optionally, the number of base stations associated with each regional unit includes: the number of base stations in the regional unit, and the number of adjacent regional units where the number of base stations in the regional unit is zero. The base station number condition includes: the number of base stations in the regional unit is greater than zero, and the number of adjacent regional units where the number of base stations in the regional unit is zero is greater than a preset number threshold.

[0067] Here, the adjacent regional unit of each regional unit refers to the regional unit adjacent to the regional unit. Assume that the current regional unit of the lowest level at least includes regional unit a, and regional units b, c, d, e, f, and g adjacent to regional unit a. For regional unit a, regional units b, c, d, e, f, and g are its adjacent regional units.

[0068] Taking the regional unit a of the lowest level as an example, the number of base stations associated with regional unit a includes: the number of base stations in regional unit a, and the number of adjacent regional units where the number of base stations in regional unit a is zero. Assume that the number of base stations in regional units b, c, d, and g is zero, then the number of adjacent regional units where the number of base stations in regional unit a is zero is 4.

[0069] In the embodiments of the present disclosure, if the number of base stations in a certain regional unit is greater than zero, and the number of adjacent regional units where the number of base stations in the regional unit is zero is greater than a preset number threshold, it can be determined that the number of base stations associated with the regional unit meets the preset base station number condition. If the number of base stations in a certain regional unit is not greater than zero, and / or the number of adjacent regional units where the number of base stations in the regional unit is zero is not greater than a preset number threshold, it can be determined that the number of base stations associated with the regional unit does not meet the preset base station number condition.

[0070] In the embodiments of the present disclosure, the quantity threshold can be determined according to actual design requirements. For example, the quantity threshold can be 3. Taking the area unit a with the lowest level as an example, the number of base stations in the area unit a is 2, and the number of base stations in the area units b, c, d, and g is zero. Therefore, the number of adjacent area units with zero base stations in the area unit a is 4. Since the number of base stations in the area unit a is greater than zero and the number of adjacent area units with zero base stations in the area unit a is greater than 3, it is determined that the number of base stations associated with the area unit a meets the preset base station quantity condition. It can be understood that if the number of adjacent area units with zero base stations in the area unit a is not greater than 3, it is determined that the number of base stations associated with the area unit a does not meet the preset base station quantity condition. Since the number of base stations in the area units b, c, d, and g is zero, it can be determined that the number of base stations associated with the area units b, c, d, and g do not meet the preset base station quantity condition.

[0071] S103. When the electronic device determines an area unit that meets the base station quantity condition, it splits the area unit that meets the base station quantity condition into multiple lower-level area units.

[0072] In the embodiments of the present disclosure, the primary area unit is defined as the area unit of the first level. For the area unit of the i-th level, its lower-level area unit is the area unit of the (i + 1)-th level, where i is a positive integer. For a certain area unit of the i-th level that meets the base station quantity condition, the area unit of the i-th level can be split into multiple area units of the (i + 1)-th level.

[0073] As Figure 4 shown, taking the area unit of the i-th level as a regular hexagon as an example, the regular hexagon can be split into 7 smaller regular hexagons, and each smaller regular hexagon is the area unit of the (i + 1)-th level. As Figure 5 shown, taking the area unit of the i-th level as a square as an example, the square can be split into 4 smaller squares, and each smaller square is the area unit of the (i + 1)-th level.

[0074] From Figure 4It can be seen that for the hexagonal regional unit, after splitting the regional unit of the i-th level into seven smaller regional units of the (i + 1)-th level, the seven regional units of the (i + 1)-th level do not completely occupy the corresponding regional unit of the i-th level. Among them, three regional units of the (i + 1)-th level will occupy a small part of the regional unit adjacent to the regional unit of the i-th level to which they belong, and a part of the regional unit of the i-th level to which the seven regional units of the (i + 1)-th level belong is not divided into the regional units of the (i + 1)-th level. In this case, if there is a base station in the part of the adjacent regional unit of the i-th level occupied by the regional unit of the (i + 1)-th level, the base station is assigned to the regional unit of the (i + 1)-th level that occupies this part of the area. For the undivided part of the regional unit of the i-th level to which the seven regional units of the (i + 1)-th level belong, it may also be occupied by the regional units of the (i + 1)-th level split from the adjacent regional unit of the i-th level. Therefore, the base stations in this part of the area will also be assigned to the regional units of the (i + 1)-th level that occupy this part of the area. If there is no regional unit of the (i + 1)-th level split from the adjacent regional unit of the i-th level, the base stations in this part of the area can be assigned to the nearest regional unit of the (i + 1)-th level.

[0075] In the embodiment of the present disclosure, after S103, S104 or S105 is executed.

[0076] S104, when the size characteristics of the regional units at the next level do not meet the splitting stop condition, the electronic device performs the next regional unit splitting process.

[0077] S105, when the size characteristics of the regional units at the next level meet the preset splitting stop condition, the electronic device determines the number of base stations in each regional unit at the next level and ends the regional unit splitting process.

[0078] In the embodiment of the present disclosure, the size characteristics of the regional units at the next level include: side length, and / or, area. The splitting stop condition includes: each size characteristic of the regional unit at the next level is less than the corresponding size threshold.

[0079] In the embodiment of the present disclosure, when each size characteristic of the regional units at the next level is less than the corresponding size threshold, the electronic device determines the number of base stations in each regional unit at the next level and ends the regional unit splitting process.

[0080] Optionally, the specific type of the size feature of the next-level area unit and the corresponding size threshold can be determined according to actual design requirements. Taking the area unit as a regular hexagon as an example, the size feature of the next-level area unit includes the side length, and the size threshold is 80 meters. When the side length of the next-level area unit is less than 80 meters, determine the number of base stations in each next-level area unit, and end the area unit splitting process.

[0081] S106. After the area unit splitting process ends, for area units of all area levels, according to the area of each area unit and the number of base stations in that area unit, add visual density characterization information to each area unit.

[0082] In the embodiments of the present disclosure, the density characterization information can characterize the base station density in the area unit, and different density characterization information can characterize different base station density situations. The density characterization information can be colors, symbols, text, etc. Taking the density characterization information as colors as an example, different colors can characterize different base station density situations.

[0083] The method for characterizing the base station density provided by the embodiments of the present disclosure first divides the target area into multiple primary area units, and then, according to the number of base stations in the area units, splits the area units that meet the preset conditions once or multiple times to obtain area units with smaller areas, realizing the differentiation of the area unit areas. Then, according to the area and the number of base stations of each area unit, determine the differentiated density characterization information of area units of various area sizes, and characterize the base station density situation of each area unit by adding visual density characterization information to each area unit, so as to finely display the base station density situations of different areas.

[0084] In some embodiments, the area unit splitting process further includes: ending the area unit splitting process when no area unit that meets the base station number condition is determined.

[0085] Combined with Figure 6 As shown, the embodiments of the present disclosure provide another method for characterizing the base station density. The method for characterizing the base station density includes:

[0086] S601. The electronic device divides the target area into multiple primary area units and determines the number of base stations in each current primary area unit.

[0087] After S601, the electronic device iteratively executes the area unit splitting process, where an area unit splitting process includes the following S602 to S603.

[0088] S602. The electronic device determines whether the number of base stations associated with each current lowest-level area unit meets the preset base station number condition for each area unit.

[0089] After S602, execute S603 or S605.

[0090] S603, when the electronic device determines a regional unit that meets the base station quantity condition, split the regional unit that meets the base station quantity condition into multiple lower-level regional units.

[0091] After S603, execute S604 or S606.

[0092] S604, when the size feature of the lower-level regional unit does not meet the split stop condition, execute the next regional unit splitting process.

[0093] S605, when the electronic device does not determine a regional unit that meets the base station quantity condition, end the regional unit splitting process.

[0094] S606, when the size feature of the lower-level regional unit meets the preset split stop condition, determine the number of base stations in each lower-level regional unit, and end the regional unit splitting process.

[0095] S607, after the regional unit splitting process ends, for regional units of all area levels, according to the area of each regional unit and the number of base stations in this regional unit, add visual density characterization information to each regional unit.

[0096] In some embodiments, for regional units of all area levels, according to the area of each regional unit and the number of base stations in this regional unit, adding visual density characterization information to each regional unit includes: for regional units of all area levels, determining the base station density of each regional unit according to the area of each regional unit and the number of base stations in this regional unit; according to the base station density of each regional unit, adding visual density characterization information to each regional unit.

[0097] Combined Figure 7 As shown, an embodiment of the present disclosure provides another method for characterizing base station density. The method for characterizing base station density includes:

[0098] S701, the electronic device divides the target area into multiple primary regional units, and determines the number of base stations in each current primary regional unit.

[0099] After S701, the electronic device iteratively executes the regional unit splitting process. Among them, a regional unit splitting process includes the following S702 to S703.

[0100] S702, the electronic device determines, for each current lowest-level area unit, whether the number of base stations associated with each area unit meets a preset base station number condition.

[0101] S703, when the electronic device determines an area unit that meets the base station number condition, it splits the area unit that meets the base station number condition into multiple next-level area units.

[0102] After S703, S704 or S705 is executed.

[0103] S704, when the size feature of the next-level area unit does not meet the split stop condition, the electronic device executes the next area unit splitting process.

[0104] S705, when the size feature of the next-level area unit meets the preset split stop condition, the electronic device determines the number of base stations in each next-level area unit and ends the area unit splitting process.

[0105] S706, after the area unit splitting process ends, for area units of all area levels, the electronic device determines the base station density of each area unit according to the area of each area unit and the number of base stations in the area unit.

[0106] S707, the electronic device adds visual density characterization information to each area unit according to the base station density of each area unit.

[0107] As described above, the density characterization information can represent the base station density in the area unit, and different density characterization information can represent different base station density situations. The density characterization information can be color, symbol, text, etc. Taking the density characterization information being color as an example, different colors can represent different base station density situations.

[0108] In some embodiments, adding visual density characterization information to each area unit according to the base station density of each area unit includes: determining the color parameter of each area unit according to the base station density of each area unit; filling each area unit with a corresponding color based on the color parameter of each area unit. Among them, different colors represent different base station density situations, and the color parameter can include the type and depth of the color, etc.

[0109] Optionally, determining the color parameter of each area unit according to the base station density of each area unit includes: determining the maximum base station density and the minimum base station density among the base station densities of all area units; dividing multiple density intervals based on the maximum base station density and the minimum base station density, and assigning corresponding color parameters to each density interval; using the color parameter of the density interval to which the base station density of each area unit belongs as the color parameter of the area unit.

[0110] For example, among the base station densities of all regional units, the maximum base station density and the minimum base station density are determined. The ceiling of the maximum base station density is obtained to get the upper limit value, and the floor of the minimum base station density is obtained to get the lower limit value. An interval is determined with the lower limit value and the upper limit value as boundary values, and the interval is equally divided into 30 sub-intervals. Each sub-interval is a density interval, and then corresponding color parameters are assigned to each density interval. Optionally, the colors indicated by the color parameters of the 30 sub-intervals are 30 colors that gradually change from dark red to dark blue. It can be understood that the color assigned to each regional unit is also one of the 30 colors that gradually change from dark red to dark blue.

[0111] In some embodiments, according to the base station density of each regional unit, visual density characterization information is added to each regional unit, including: determining the symbol parameters of each regional unit according to the base station density of each regional unit; adding corresponding symbols to each regional unit based on the symbol parameters of each regional unit. Among them, different symbols calculate different base station density situations, and the symbol parameters can include the height, width, thickness, etc. of the symbol.

[0112] In the embodiments of the present disclosure, each regional unit of the target area can be displayed in the view, and visual density characterization information is added to each regional unit according to the base station density of each regional unit.

[0113] In some embodiments, after adding visual density characterization information to each regional unit, it further includes: in response to a view zoom operation, determining the zoom factor of the view and the regional units included in the zoomed view; when the zoom factor of the view exceeds a preset multiple threshold, determining whether there are regional units with base station densities belonging to the same density interval in the zoomed view; when it is determined that there are regional units with base station densities belonging to the same density interval in the zoomed view, displaying the number of base stations of each regional unit among the regional units with base station densities belonging to the same density interval.

[0114] In the embodiments of the present disclosure, for the regional units in the same density interval in the view, the density characterization information (such as color) of each regional unit is the same. In some cases, the user needs to zoom in on the view to observe a certain part of the regional units more carefully. After zooming in on the view, if there are still regional units in the view whose base station densities belong to the same density interval, the user cannot distinguish the differences in the base station densities of the regional units whose base station densities belong to the same density interval based on the density characterization information. To address this problem, when the magnification factor of the view exceeds a preset magnification threshold, for the regional units in the magnified view whose base station densities belong to the same density interval, the number of base stations in each regional unit can be further displayed, so that the user can distinguish the differences in the base station densities of each regional unit whose base station densities belong to the same density interval in the magnified view.

[0115] In the embodiments of the present disclosure, the magnification threshold is positively correlated with the number of levels of the regional units divided in the target area. That is to say, the more the number of levels of the regional units divided in the target area, the larger the magnification threshold. It can be understood that the number of levels of the regional units divided in the target area is the sum of the number of executions of the regional unit splitting process and 1.

[0116] For example, if the regional unit splitting process is executed 4 times, then the number of levels of the regional units divided in the target area is 5. It can be understood that at this time, there are 5 levels of regional units in the target area, and the lowest-level regional unit is the 5th-level regional unit.

[0117] In the embodiments of the present disclosure, the magnification threshold is the difference between the number of levels of the regional units divided in the target area and the base magnification. The base magnification can be determined according to actual design needs. For example, the base magnification can be 1. For example, the number of levels of the regional units divided in the target area is 5, and the base magnification is 1, then the magnification threshold is 4.

[0118] Combined with Figure 8 As shown, the embodiments of the present disclosure provide a device 800 for characterizing base station density. The calculation device 800 includes a primary partitioning module 801, an iterative partitioning module 802, and a density calculation module 803.

[0119] The primary partitioning module 801 is configured to divide the target area into multiple primary regional units and determine the number of base stations in each current primary regional unit.

[0120] The iterative partitioning module 802 is configured to iteratively execute the following regional unit splitting process:

[0121] For each current lowest-level regional unit, determine whether the number of base stations associated with each regional unit meets a preset base station number condition;

[0122] In the case where a regional unit that meets the base station quantity condition is determined, split the regional unit that meets the base station quantity condition into multiple next-level regional units;

[0123] When the size characteristics of the next-level regional units do not meet the split stop condition, perform the next regional unit splitting process;

[0124] When the size characteristics of the next-level regional units meet the preset split stop condition, determine the number of base stations in each next-level regional unit, and end the regional unit splitting process.

[0125] The density calculation module 803 is configured to, after the regional unit splitting process ends, for regional units of all area levels, add visual density characterization information to each regional unit according to the area of each regional unit and the number of base stations in that regional unit.

[0126] The base station density characterization device provided by the embodiments of the present disclosure first divides the target area into multiple primary regional units, and then, according to the number of base stations in the regional units, splits the regional units that meet the preset conditions one or more times, so as to obtain regional units with smaller areas, realizing the differentiation of the areas of the regional units. Then, according to the area and the number of base stations of each regional unit, determine the differentiated density characterization information of regional units of various area sizes, and characterize the base station density situation of each regional unit by adding visual density characterization information to each regional unit, thereby finely displaying the base station density situations of different areas.

[0127] In some embodiments, the number of base stations associated with each regional unit includes: the number of base stations in that regional unit, and the number of adjacent regional units with zero base stations in that regional unit.

[0128] The base station quantity condition includes: the number of base stations in the regional unit is greater than zero, and the number of adjacent regional units with zero base stations in the regional unit is greater than a preset quantity threshold.

[0129] In some embodiments, the size characteristics of the next-level regional units include: side length, and / or, area. The split stop condition includes: each size characteristic of the next-level regional unit is less than the corresponding size threshold.

[0130] In some embodiments, the density calculation module 803 is configured to:

[0131] For regional units of all area levels, determine the base station density of each regional unit according to the area of each regional unit and the number of base stations in that regional unit;

[0132] Add visual density characterization information to each regional unit according to the base station density of each regional unit.

[0133] In some embodiments, the density calculation module 803 is configured to:

[0134] Determine the color parameters of each regional unit according to the base station density of each regional unit;

[0135] Fill each regional unit with a corresponding color based on the color parameters of each regional unit, where different colors represent different base station density situations.

[0136] In some embodiments, the density calculation module 803 is configured to:

[0137] Determine the symbol parameters of each regional unit according to the base station density of each regional unit;

[0138] Add a corresponding symbol to each regional unit based on the symbol parameters of each regional unit, where different symbols represent different base station density situations.

[0139] In some embodiments, the density calculation module 803 is configured to:

[0140] Determine the maximum base station density and the minimum base station density among the base station densities of all regional units;

[0141] Based on the maximum base station density and the minimum base station density, divide into multiple density intervals and assign corresponding color parameters to each density interval;

[0142] Use the color parameters of the density interval to which the base station density of each regional unit belongs as the color parameters of the regional unit.

[0143] In some embodiments, the density calculation module 803 is further configured to:

[0144] In response to a view zoom-in operation, determine the zoom factor of the view and the regional units included in the zoomed-in view;

[0145] When the zoom factor of the view exceeds a preset multiple threshold, determine whether there are regional units in the zoomed-in view whose base station densities belong to the same density interval;

[0146] When it is determined that there are regional units in the zoomed-in view whose base station densities belong to the same density interval, display the number of base stations of each regional unit among the regional units whose base station densities belong to the same density interval.

[0147] Wherein, the multiple threshold is positively correlated with the number of levels of the regional units divided in the target area.

[0148] In some embodiments, the area unit splitting process further includes: ending the area unit splitting process when no area unit that meets the base station quantity condition is determined.

[0149] As shown in combination with Figure 9 An electronic device 900 is provided in an embodiment of the present disclosure. The electronic device 900 includes a processor 901 and a memory 902. Optionally, the electronic device 900 may further include a communication interface 903 and a bus 904. Among them, the processor 901, the communication interface 903, and the memory 902 can complete mutual communication through the bus 904. The communication interface 903 can be used for information transmission. The processor 901 can call the logical instructions in the memory 902 to execute the method for characterizing the base station density in the above embodiments.

[0150] In addition, when the logical instructions in the above-mentioned memory 902 are implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium.

[0151] The memory 902, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present disclosure. The processor 901 executes functional applications and data processing by running the program instructions / modules stored in the memory 902, that is, implements the method for characterizing the base station density in the above embodiments.

[0152] The memory 902 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 902 may include a high-speed random access memory and may also include a non-volatile memory.

[0153] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are set to execute the method for characterizing the base station density described above.

[0154] The technical solution of the embodiments of the present disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium may be a non-transitory storage medium, such as: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc, and other media that can store program codes.

[0155] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure, enabling those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, process, and other changes. Embodiments only represent possible variations. Unless explicitly required, separate components and functions are optional, and the order of operations can vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terms used in this application are only for describing the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to also include the plural forms. Similarly, as used in this application, the term "and / or" refers to any and all possible combinations including one or more of the associated listed items. Additionally, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising", etc. refer to the presence of the stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups of these. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of another identical element in the process, method, or device including the element. In this document, what each embodiment focuses on may be the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, the relevant parts can refer to the description of the method part.

[0156] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner can depend on the specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the embodiments of the present disclosure. The skilled person can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0157] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in an electrical, mechanical, or other form. The units described as separate components can be or can not be physically separated. The components displayed as units can be or can not be physical units, that is, they can be located in one place or can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. Additionally, in the embodiments of the present disclosure, the functional units can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0158] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code, which contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. In the description corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for characterizing base station density, characterized in that: include: Divide the target area into a plurality of primary area units, and determine the number of base stations in each primary area unit; The following area unit splitting process is performed iteratively: For each current lowest-level regional unit, determining whether the number of base stations associated with each regional unit meets a preset base station number condition; When a regional unit that meets the base station quantity condition is determined, the regional unit that meets the base station quantity condition is split into a plurality of next-level regional units; When the size characteristics of the next-level regional unit meet the preset splitting stop condition, the regional unit splitting process is terminated, and the number of base stations in each next-level regional unit is determined; When the size characteristics of the next-level regional unit do not meet the splitting stop condition, the next regional unit splitting process is performed; After the area unit splitting process is completed, for area units of all area levels, visual density representation information is added to each area unit according to the area of ​​each area unit and the number of base stations in the area unit.

2. The characterization method according to claim 1, characterized in that: The number of base stations associated with each area unit includes: the number of base stations in the area unit, and the number of adjacent area units where the number of base stations in the area unit is zero; The base station quantity condition includes: the number of base stations in the area unit is greater than zero, and the number of adjacent area units in which the number of base stations in the area unit is zero is greater than a preset quantity threshold; The adjacent regional units of each regional unit refer to the regional units adjacent to the regional unit.

3. The characterization method according to claim 1, characterized in that: The size characteristics of the next level area unit include: side length, and / or, area; The splitting stop condition includes: each size feature of the next-level regional unit is smaller than the corresponding size threshold.

4. The characterization method according to any one of claims 1 to 3, characterized in that: For area units of all area levels, visual density representation information is added to each area unit based on the area of ​​each area unit and the number of base stations in the area unit, including: For the area units of all area levels, determine the base station density of each area unit according to the area of ​​each area unit and the number of base stations in the area unit; According to the base station density of each area unit, visual density representation information is added to each area unit.

5. The characterization method according to claim 4, characterized in that: According to the base station density of each area unit, visual density representation information is added to each area unit, including: Determine the color parameter of each area unit according to the base station density of each area unit; Based on the color parameter of each area unit, each area unit is filled with a corresponding color, wherein different colors represent different base station densities.

6. The characterization method according to claim 5, characterized in that: According to the base station density of each area unit, the color parameters of each area unit are determined, including: Among the base station densities of all area units, the maximum base station density and the minimum base station density are determined; Based on the maximum base station density and the minimum base station density, multiple density intervals are divided, and corresponding color parameters are assigned to each density interval; The color parameter of the density interval to which the base station density of each area unit belongs is used as the color parameter of the area unit.

7. The characterization method according to any one of claims 1 to 3, characterized in that: The area unit splitting process further includes: when no area unit satisfying the base station quantity condition is determined, ending the area unit splitting process.

8. A device for characterizing base station density, characterized in that: include: A primary partitioning module is configured to divide the target area into a plurality of primary area units and determine the number of base stations in each primary area unit; The iterative partitioning module is configured to iteratively perform the following area unit splitting process: For each current lowest-level regional unit, determining whether the number of base stations associated with each regional unit meets a preset base station number condition; When a regional unit that meets the base station quantity condition is determined, the regional unit that meets the base station quantity condition is split into a plurality of next-level regional units; When the size characteristics of the next-level regional unit meet the preset splitting stop condition, the regional unit splitting process is terminated, and the number of base stations in each next-level regional unit is determined; When the size characteristics of the next-level regional unit do not meet the splitting stop condition, the next regional unit splitting process is performed; The density characterization module is configured to add visual density characterization information to each area unit according to the area of ​​each area unit and the number of base stations in the area unit for area units of all area levels after the area unit splitting process is completed.

9. An electronic device comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the method for characterizing base station density according to any one of claims 1 to 7 when running the program instructions.

10. A storage medium, characterized in that: The storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the method for characterizing base station density according to any one of claims 1 to 7 is executed.

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