CN115087098B - Method, system and readable storage medium for identifying attribution of base station sector of communication base station - Google Patents

Method, system and readable storage medium for identifying attribution of base station sector of communication base station Download PDF

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CN115087098B
CN115087098B CN202211002396.4A CN202211002396A CN115087098B CN 115087098 B CN115087098 B CN 115087098B CN 202211002396 A CN202211002396 A CN 202211002396A CN 115087098 B CN115087098 B CN 115087098B
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base station
sector
area
identifying
station sector
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CN115087098A (en
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杨占军
于笑博
成立立
张广志
黄伟
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Beiling Rongxin Datalnfo Science and Technology Ltd
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Beiling Rongxin Datalnfo Science and Technology Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/003Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment

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Abstract

The invention discloses a method, a system and a readable storage medium for identifying the affiliation of a base station sector of a communication base station, wherein the method comprises the following steps: collecting base station information, wherein the base station information comprises base station longitude and latitude, network type and base station number; dividing base station sectors with different specifications based on the network system and a preset population density value; judging whether the base station sector is in a preset specified area, wherein if yes, identifying that the base station sector belongs to the specified area; if not, the specified area is expanded to obtain a buffer area; and judging whether the base station sector is in the buffer area, if so, judging whether a base station corresponding to the base station sector is an indoor station, and if so, judging whether the indoor station is in the specified area. The invention can specifically distribute the outdoor base station sector to a certain street by distributing the outdoor base station sector and attributing the indoor base station, thereby providing possibility for reflecting the flow and monitoring of population.

Description

Method, system and readable storage medium for identifying attribution of base station sector of communication base station
Technical Field
The invention relates to the technical field of big data analysis application, in particular to a method, a system and a readable storage medium for identifying the affiliation of a base station sector of a communication base station.
Background
The base station antenna is a converter for information exchange between a base station and 5G users, although the base station antenna in China is developed later, the development speed is high, the base station antenna in China is a big country of the base station antenna, the 5G base stations are continuously increased in the future, the value of the 5G base station antenna monomer is synchronously improved, the investment scale of the boosting 5G base station antenna is greatly increased, and the scale development of the whole base station antenna is promoted.
In 2020, total mobile communication base stations in China reach 931 ten thousand, and the digital economic market scale reaches 39.2 trillion yuan. In the field of big data, the industrial scale of big data in China reaches 718.7 hundred million yuan in 2020, and the world data market is widened and reached. China is mainly distributed in economic developed provinces such as Beijing, guangdong, shanghai and Zhejiang, is influenced by factors such as policy environment influence, talent innovation and capital resources, the strength of the Beijing big data industry is strong, and the number of big data enterprises accounts for 35% of the total number of China.
The distribution of the base station information has very important significance for monitoring population mobility, and the number of people in the coverage area of the base stations can be counted in detail by specifically knowing which outdoor station sectors and indoor cellular stations exist in a certain street or even a certain building through the distribution of the outdoor base station sectors and the attribution of the indoor stations.
Disclosure of Invention
The invention aims to provide a method, a system and a readable storage medium for identifying the attribution of a base station sector of a communication base station, which can be specifically allocated to a certain street by allocating an outdoor base station sector and attributing an indoor station, thereby providing possibility for reflecting the flow and monitoring of population.
The first aspect of the present invention provides a method for identifying the affiliation of a base station sector of a communication base station, which comprises the following steps:
collecting base station information, wherein the base station information comprises base station longitude and latitude, network type and base station number;
dividing base station sectors with different specifications based on the network system and a preset population density value;
judging whether the base station sector is in a preset specified area, wherein if yes, identifying that the base station sector belongs to the specified area; if not, externally expanding the specified area to obtain a buffer area;
determining whether the base station sector is within the buffer region, wherein,
if the base station sector is in the buffer area, judging whether the base station corresponding to the base station sector is an indoor station or not, wherein,
if so, judging whether the indoor station is in the specified area, if so, identifying that the indoor station belongs to the specified area, and if not, not identifying that the base station corresponding to the base station sector belongs to the specified area;
if not, the base station corresponding to the base station sector is an outdoor station, and the overlapping area of the outdoor station sector and the specified areas is calculated, wherein the outdoor station sector belongs to the specified area with the largest overlapping area;
and if the base station sector is not in the buffer area, not identifying the base station attribution corresponding to the base station sector.
In the scheme, the base station information is obtained based on data provided by a preset operator, wherein the base station information comprises the longitude and latitude of the base station, the hanging height of an antenna, the downward inclination angle of the antenna, the network type, the number of the base station, cellular network information and angle distribution information.
In this scheme, the dividing the base station sectors of different specifications based on the network standard and the preset population density value specifically includes:
combining the population density value to divide based on a 4G network system to obtain different base station sectors, wherein the base station sectors comprise urban areas, suburban areas and open areas;
and setting the radius specification of the sector in the urban area to be four hundred meters, the radius specification of the sector in the suburb area to be eight hundred meters, and the radius specification of the sector in the open area to be fifteen hundred meters.
In this embodiment, the method further includes:
checking the network system of each base station sector and the identification result of the base station number based on the longitude and latitude of the base station;
and determining street information to which each base station sector belongs based on the identification result.
In this embodiment, the method further includes: and identifying base station switching data through the signaling data so as to judge the position of the newly added base station and correct the error of the error base station.
In the scheme, the sector radius of the outdoor station is set based on the base station information, and the overlapping area is obtained by utilizing a preset area conversion algorithm.
The second aspect of the present invention further provides a system for identifying the affiliation of a base station sector of a communication base station, which includes a memory and a processor, wherein the memory includes a program of a method for identifying the affiliation of a base station sector of a communication base station, and the program of the method for identifying the affiliation of a base station sector of a communication base station is executed by the processor to implement the following steps:
collecting base station information, wherein the base station information comprises base station longitude and latitude, network type and base station number;
dividing base station sectors with different specifications based on the network system and a preset population density value;
judging whether the base station sector is in a preset specified area, wherein if yes, identifying that the base station sector belongs to the specified area; if not, externally expanding the specified area to obtain a buffer area;
determining whether the base station sector is within the buffer region, wherein,
if the base station sector is in the buffer area, judging whether the base station corresponding to the base station sector is an indoor station or not, wherein,
if so, judging whether the indoor station is in the specified area, if so, identifying that the indoor station belongs to the specified area, and if not, not identifying that the base station corresponding to the base station sector belongs to the specified area;
if not, the base station corresponding to the base station sector is an outdoor station, and the overlapping area of the outdoor station sector and the specified areas is calculated, wherein the outdoor station sector belongs to the specified area with the largest overlapping area;
and if the base station sector is not in the buffer area, not identifying the base station attribution corresponding to the base station sector.
In the scheme, the base station information is obtained based on data provided by a preset operator, wherein the base station information comprises the longitude and latitude of the base station, the hanging height of an antenna, the downward inclination angle of the antenna, the network type, the number of the base station, cellular network information and angle distribution information.
In this scheme, the dividing base station sectors of different specifications based on the network standard and a preset population density value specifically includes:
combining the population density value to divide based on a 4G network system to obtain different base station sectors, wherein the base station sectors comprise urban areas, suburban areas and open areas;
and setting the radius specification of the sector in the urban area to be four hundred meters, the radius specification of the sector in the suburb area to be eight hundred meters, and the radius specification of the sector in the open area to be fifteen hundred meters.
In this embodiment, the method further includes:
checking the network system of each base station sector and the identification result of the base station number based on the longitude and latitude of the base station;
and determining street information to which each base station sector belongs based on the identification result.
In this embodiment, the method further includes: and identifying base station switching data through the signaling data so as to judge the position of the newly added base station and correct the error of the error base station.
In the scheme, the sector radius of the outdoor station is set based on the base station information, and the overlapping area is obtained by utilizing a preset area conversion algorithm.
A third aspect of the present invention provides a computer-readable storage medium, which includes a program of a method for identifying a base station sector affiliation of a communication base station of a machine, and when the program of the method for identifying a base station sector affiliation of a communication base station is executed by a processor, the method for identifying a base station sector affiliation of a communication base station implements the steps of the method for identifying a base station sector affiliation of a communication base station as described in any one of the above.
The method, the system and the readable storage medium for identifying the base station sector affiliation of the communication base station can specifically allocate the base station sector affiliation to a certain street by allocating the outdoor base station sector and the indoor base station, thereby providing possibility for reflecting the mobility and monitoring of population.
Drawings
Fig. 1 is a flow chart illustrating a method for identifying a base station sector attribution of a communication base station according to the present invention;
fig. 2 is a block diagram of a base station sector belonging identification system of a communication base station according to the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention, taken in conjunction with the accompanying drawings and detailed description, is set forth below. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flowchart of a method for identifying a base station sector attribution of a communication base station according to the present application.
As shown in fig. 1, the present application discloses a method for identifying a base station sector affiliation of a communication base station, which includes the following steps:
s102, collecting base station information, wherein the base station information comprises base station longitude and latitude, network type and base station number;
s104, dividing base station sectors with different specifications based on the network standard and a preset population density value;
s106, judging whether the base station sector is in a preset specified area, wherein if yes, identifying that the base station sector belongs to the specified area; if not, the specified area is expanded to obtain a buffer area;
s108, judging whether the base station sector is in the buffer area, wherein if the base station sector is not in the buffer area, the base station attribution corresponding to the base station sector is not identified, and if the base station sector is in the buffer area, the base station corresponding to the base station sector is judged to be an indoor station;
s110, if yes, judging whether the indoor station is in the specified area, if yes, identifying that the indoor station belongs to the specified area, and if not, not identifying that the base station corresponding to the base station sector belongs to the specified area;
and S112, if not, the base station corresponding to the base station sector is an outdoor station, and the overlapping area of the outdoor station sector and the plurality of specified areas is calculated, wherein the outdoor station sector belongs to the specified area with the largest overlapping area.
It should be noted that the present invention aims to integrate and distribute all information about base stations provided by operators to each street, so as to facilitate the subsequent statistics of the population number of each street and large area, and in order to provide possibility for quantitatively describing the population number in an area, the information about the base stations is collected first, and the base station sectors of different specifications are divided based on the information about the base stations in combination with the preset population density value, as shown in table 1, which is a base station sector radius specification.
TABLE 1 base station sector radius Specification (unit: meter)
Base station sector Urban area Suburb Open area
Radius/m 400 800 1000-1500
Further, in the embodiment, the network type corresponding to table 1 is 4G, because the existing 3G is basically clear, 2G is sporadically covered, all stations have been removed in the end of 2021 year, only 4G and 5G currently exist, and 5G is not currently applied, the sector radius of the base station does not indicate that the network type is the sector radius of 3G or 5G.
Further, the allocation of the base station sectors is summarized into two cases, one is that the base station sectors are in the specified area: if a sector of the base station is in the specified area, the sector of the base station belongs to the area; secondly, the base station sector is not in the specified area: performing outward expansion on the specified area to form the buffer area, wherein the buffer area can be extended to be 500m in general; then, whether the base station sector is in the buffer area or not is judged, and if the base station is not in the buffer area, the area to which the base station sector belongs is not considered; if the base station is in the buffer area, firstly considering whether the base station is an indoor station, if the base station is an indoor station, then seeing whether the indoor station is in an original non-expanded area (the specified area), if the base station is not in the original non-expanded area, then not considering which area the base station sector belongs to, if the base station sector is in the original non-expanded area, then determining that the indoor station belongs to the corresponding specified area, if the base station is not an indoor station, then determining the radius distance of the sector by combining information such as angle division lines and angles carried by the base station information in the outdoor station with a network standard, then calculating the actual overlapping area of the base station sector coverage area and the specified area, comparing the size of the overlapping area, and finally belonging the outdoor station sector to the specified area with the maximum overlapping area of the specified area.
According to the embodiment of the invention, the base station information is obtained based on data provided by a preset operator, wherein the base station information comprises the longitude and latitude of the base station, the hanging height of the antenna, the downward inclination angle of the antenna, the network type, the number of the base station, cellular network information and angle dividing line information.
It should be noted that the base station information is derived from data provided by operators (china mobile, china telecom, and china unicom), such as signaling data, and the corresponding base station information is obtained based on the data provided by the operators, where the base station information specifically includes, but is not limited to, base station longitude and latitude, antenna hanging height, antenna downtilt angle, the network system, the base station number, cellular network information, and angle branch information.
According to the embodiment of the present invention, the dividing the base station sectors of different specifications based on the network standard and the preset population density value specifically includes:
combining the population density value to divide based on a 4G network system to obtain different base station sectors, wherein the base station sectors comprise urban areas, suburban areas and open areas;
and setting the radius specification of the sector in the urban area to be four hundred meters, the radius specification of the sector in the suburb area to be eight hundred meters, and the radius specification of the sector in the open area to be fifteen hundred meters.
It should be noted that, in the foregoing embodiment, table 1 is introduced to describe the sector radius specification, in this embodiment, the obtaining process of table 1 is described, and different base station sectors are firstly divided based on a 4G network system in combination with a population density value, for example, the base station sectors include a downtown area, a suburban area, and an open area, and compared with different cities, the population density value has no specific quantity, but the population density value in the downtown area is greater than, even several times greater than, and correspondingly, the population density value in the suburban area is also several times greater than that in the open area.
According to an embodiment of the invention, the method further comprises:
checking the network system of each base station sector and the identification result of the base station number based on the longitude and latitude of the base station;
and determining street information to which each base station sector belongs based on the identification result.
It should be noted that, based on the longitude and latitude of the base station, the network system corresponding to each base station sector and the identifier of the base station number are checked to obtain the corresponding identifier result, and based on the identifier result, it is finally determined which street each base station sector belongs to, and the longitude and latitude of the base station and the base station number can obtain the specific location range of the base station sector, so as to obtain the street to which the specific location range belongs.
According to an embodiment of the invention, the method further comprises: and identifying base station switching data through the signaling data so as to judge the position of the newly added base station and correct the error of the error base station.
It should be noted that, in this embodiment, a concept called "common parameter learning" is proposed to implement position determination on the newly added base station and error correction on the error base station, specifically, in the existing configuration, for the phenomenon that an error exists in an excluded base station or a known common parameter, the position determination is performed on the newly added base station through base station switching of signaling data, and the error correction is performed on the error base station.
Specifically, a decision tree model is established according to a loss function minimization principle by learning a base station to which known signaling data belongs and training the characteristics contained in the existing base station information; and classifying the newly added base stations by using the established decision tree model.
Further, the key to decision tree learning is how to select the optimal partition attributes. Generally, as the partitioning process continues, it is desirable that the samples contained in the branch nodes of the decision tree belong to the same class as much as possible. "information entropy" is a most commonly used index for measuring the purity of a sample set, assuming that the current sample set
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To middle
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The proportion of the class sample is
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Then, then
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The entropy of information of (a) is defined as:
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Figure 256940DEST_PATH_IMAGE005
the smaller the value of (A), the
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The higher the purity of (c).
From the point of description on the integrity of information, when the ordered states of the system are consistent, the more concentrated the data are, the smaller the local entropy value is, and the more dispersed the data are, the larger the local entropy value is; from the aspect of description on the ordering of information, when the data volume is consistent, the more ordered the system is, the lower the entropy value is; the more chaotic or decentralized the system, the higher the entropy value.
Assuming discrete attributes
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Is provided with
Figure 235544DEST_PATH_IMAGE008
A possible value
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If used, the
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To the sample set
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The division will generate
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A branch node, wherein
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Each branch node comprises
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All in the attribute
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Up valueIs composed of
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Is marked as
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We can calculate from the above formula
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Considering the different sample numbers contained in different branch nodes, the information entropy of (1) gives weight to the branch nodes
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I.e. the greater the number of samples, the greater the influence of the branch node, and the useful attribute can be calculated
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For sample set
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The obtained information gain is divided, wherein the information gain is calculated by the following formula:
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generally, the larger the information gain, the more the usage attribute is meant
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The greater the "purity boost" obtained by performing the partitioning. Therefore, we can use information gain to select the partition attribute of the decision tree, i.e. when the optimal partition attribute is selected, the attribute is selected
Figure 813277DEST_PATH_IMAGE024
Further, the difference of the entropy before and after the data is divided by some characteristic, wherein the entropy can be expressed as the uncertainty of the sample setFor example, the larger the entropy, the larger the uncertainty of the sample, so the difference between the entropy of the set before and after the division can be used to measure the difference between the current feature and the sample set
Figure 868958DEST_PATH_IMAGE025
And (5) the dividing effect is good or bad. Preferably, the larger the information gain, the less the entropy is removed and the less uncertainty should be taken as the optimal feature.
Furthermore, for the base station information to which the existing signaling data belongs, a leave-out method is used, namely, a part of data is reserved as a verification set to carry out performance evaluation, and a general training set is taken "
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"to"
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And selecting one attribute from the data and the rest as test sets, dividing the training set, calculating the precision of the verification set for each node to judge whether to continue dividing or not, or pruning to achieve the effect of higher precision of the verification set until the precision of the verification set reaches the highest, and dividing the newly added base stations by using the trained decision tree. It should be noted that, since the related technical points of the decision tree are conventional technical means of those skilled in the art, the description is not made in this embodiment, and only a basic algorithm of the decision tree is described as follows:
inputting:
training set
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Attribute set
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The process is as follows:
function(s)
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Generating node
If samples all belong to the same class
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then
Marking the node as
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Leaf-like nodes; return
End if
If
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OR
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In the middle of
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The upper values are the same as the value of then
Marking nodes as leaf nodes and marking the categories as leaf nodes
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The class with the largest number of middle samples, return
End if
From
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In selecting the optimal partition attribute
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For
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Each value of (1)
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do
Generating a branch for the node; order to
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To represent
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In
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Up value of
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A subset of samples of (a);
If
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is empty then
Marking branch nodes as leaf nodes and marking the categories of the branch nodes as leaf nodes
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Class with the most samples; return
Else
To be provided with
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Is a branch node
End if
End for
And (3) outputting:
a decision tree with node as root node.
According to the embodiment of the invention, the sector radius of the outdoor station is set based on the base station information, and the overlapping area is obtained by using a preset area conversion algorithm.
Note that, the calculation of the overlap area is as follows: convert the sector area into arbitrary polygon area, through traversing the summit of the overlap portion, utilize "shoelace theorem" to calculate arbitrary polygon area:
for any polygon, if the coordinates of its respective vertices are known
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Then this polygonThe area of the shape is:
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wherein, the first and the second end of the pipe are connected with each other,
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and calculating all areas covered by the base station sector, comparing the size of the overlapping area of the areas with each specified area, and finally attributing the outdoor station sector to the specified area with the largest overlapping area.
It is worth mentioning that determining the street to which the base station sector belongs further comprises:
identifying the latitude and longitude of the base station and the number of the base station to obtain the coverage range of a base station sector;
and identifying the overlapping area between the range and each street range based on the coverage range, and extracting the street with the largest area overlapping degree.
It should be noted that, because the base station sector has a large area, there may be a situation where there are multiple streets in the coverage area, so that the street corresponding to the maximum area overlapping degree may be extracted as the street of the base station sector by using the overlapping degree of the street range and the coverage area as a reference factor.
It should be noted that, when the base station sector includes two streets, and the difference between the coverage areas and the area overlapping degrees of the two street areas is smaller than the preset difference threshold, the method further includes:
extracting the buffer area after the base station sector is expanded;
and identifying the region contact ratio of the two streets based on the buffer range corresponding to the buffer region, wherein the street corresponding to the maximum region contact ratio is extracted.
It is noted that the base station sector includes a street
Figure 476492DEST_PATH_IMAGE052
And street
Figure 454812DEST_PATH_IMAGE053
In the case of (2), the coverage area and the street
Figure 457535DEST_PATH_IMAGE054
Degree of area overlap of regions
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Said coverage and street
Figure 516943DEST_PATH_IMAGE056
Degree of area overlap of regions
Figure 834923DEST_PATH_IMAGE057
Taking the difference threshold value as 3 percent when the difference threshold value is equal to
Figure 257815DEST_PATH_IMAGE058
When the ratio is less than 3%, the street is identified based on the buffer range pair corresponding to the buffer area
Figure 910513DEST_PATH_IMAGE059
And street
Figure 824855DEST_PATH_IMAGE060
Wherein, the street corresponding to the maximum region contact ratio is extracted.
It is worth mentioning that the method further comprises:
extracting a first transition zone of the urban area and the suburban area, and setting the sector radius specification of the first transition zone to be six hundred meters;
and extracting a second transition zone of the suburb and the open area, and setting the radius of the sector of the second transition zone to be one thousand, two and hundred meters.
It should be noted that, in this embodiment, in some cities, because there is often a large span between the urban area and the suburban area, rather than suddenly switching from the urban area to the suburban area directly, for such a first transition zone, the sector radius may be set to be six hundred meters according to practical situations, and correspondingly, the second transition zone may be set to be one thousand two hundred meters.
Fig. 2 is a block diagram of a base station sector belonging identification system of a communication base station according to the present invention.
As shown in fig. 2, the present invention discloses a system for identifying the affiliation of a base station sector of a communication base station, which comprises a memory and a processor, wherein the memory comprises a program of a method for identifying the affiliation of a base station sector of a communication base station, and the program of the method for identifying the affiliation of a base station sector of a communication base station is executed by the processor to implement the following steps:
collecting base station information, wherein the base station information comprises base station longitude and latitude, network type and base station number;
dividing base station sectors with different specifications based on the network standard and a preset population density value;
judging whether the base station sector is in a preset specified area, wherein if yes, identifying that the base station sector belongs to the specified area; if not, the specified area is expanded to obtain a buffer area;
determining whether the base station sector is within the buffer region, wherein,
if the base station sector is in the buffer area, judging whether the base station corresponding to the base station sector is an indoor station or not, wherein,
if so, judging whether the indoor station is in the specified area, if so, identifying that the indoor station belongs to the specified area, and if not, not identifying that the base station corresponding to the base station sector belongs to the specified area;
if not, the base station corresponding to the base station sector is an outdoor station, and the overlapping area of the outdoor station sector and the specified areas is calculated, wherein the outdoor station sector belongs to the specified area with the largest overlapping area;
and if the base station sector is not in the buffer area, not identifying the base station attribution corresponding to the base station sector.
It should be noted that the present invention aims to integrate and distribute all information about base stations provided by operators to each street, so as to facilitate the subsequent statistics of the population number of each street and large area, and in order to provide possibility for quantitatively describing the population number in an area, the information about the base stations is collected first, and the base station sectors of different specifications are divided based on the information about the base stations in combination with the preset population density value, as shown in table 1, which is a base station sector radius specification.
TABLE 1 base station sector radius Specification (unit: meter)
Base station sector Urban area Suburb Open area
Radius/m 400 800 1000-1500
Further, in the embodiment, the network type corresponding to table 1 is 4G, because the existing 3G is basically clear, 2G is sporadically covered, all stations have been removed in the end of 2021 year, only 4G and 5G currently exist, and 5G is not currently applied, the sector radius of the base station does not indicate that the network type is the sector radius of 3G or 5G.
Further, the allocation of the base station sectors is summarized into two cases, one is that the base station sectors are in the specified area: if a sector of the base station is in the specified area, the sector of the base station belongs to the area; secondly, the base station sector is not in the specified area: performing outward expansion on the specified area to form the buffer area, wherein the buffer area can be extended by 500m in general; then, whether the base station sector is in the buffer area or not is judged, and if the base station is not in the buffer area, the area to which the base station sector belongs is not considered; if the base station is in the buffer area, firstly considering whether the base station is an indoor station, if the base station is an indoor station, then seeing whether the indoor station is in an original non-expanded area (the specified area), if the base station is not in the original non-expanded area, then not considering which area the base station sector belongs to, if the base station sector is in the original non-expanded area, then determining that the indoor station belongs to the corresponding specified area, if the base station is not an indoor station, then determining the radius distance of the sector by combining information such as angle division lines and angles carried by the base station information in the outdoor station with a network standard, then calculating the actual overlapping area of the base station sector coverage area and the specified area, comparing the size of the overlapping area, and finally belonging the outdoor station sector to the specified area with the maximum overlapping area of the specified area.
According to the embodiment of the invention, the base station information is obtained based on data provided by a preset operator, wherein the base station information comprises the longitude and latitude of the base station, the hanging height of the antenna, the downward inclination angle of the antenna, the network type, the number of the base station, cellular network information and angle dividing line information.
It should be noted that the base station information is derived from data provided by operators (china mobile, china telecom, and china unicom), such as signaling data, and the corresponding base station information is obtained based on the data provided by the operators, where the base station information specifically includes, but is not limited to, base station longitude and latitude, antenna hanging height, antenna downtilt angle, the network system, the base station number, cellular network information, and angle branch information.
According to the embodiment of the present invention, the dividing base station sectors of different specifications based on the network standard and the preset population density degree value specifically includes:
combining the population density value to divide based on a 4G network system to obtain different base station sectors, wherein the base station sectors comprise urban areas, suburban areas and open areas;
and setting the radius specification of the sector in the urban area to be four hundred meters, the radius specification of the sector in the suburb area to be eight hundred meters, and the radius specification of the sector in the open area to be fifteen hundred meters.
It should be noted that, in the foregoing embodiment, table 1 is introduced to describe the sector radius specification, in this embodiment, the obtaining process of table 1 is described, and different base station sectors are firstly divided based on a 4G network system in combination with a population density value, for example, the base station sectors include a downtown area, a suburban area, and an open area, and compared with different cities, the population density value has no specific quantity, but the population density value in the downtown area is greater than, even several times greater than, and correspondingly, the population density value in the suburban area is also several times greater than that in the open area.
According to an embodiment of the invention, the method further comprises:
checking the network system of each base station sector and the identification result of the base station number based on the longitude and latitude of the base station;
and determining street information to which each base station sector belongs based on the identification result.
It should be noted that, based on the latitude and longitude of the base station, the network system corresponding to each base station sector and the identifier of the base station number are checked to obtain the corresponding identifier result, and based on the identifier result, it is finally determined to which street each sector of the base station belongs, and the latitude and longitude of the base station and the base station number may obtain the specific location range of the base station sector, and further may obtain the street to which the specific location range belongs.
According to an embodiment of the invention, the method further comprises: and identifying base station switching data through the signaling data so as to judge the position of the newly added base station and correct the error of the error base station.
It should be noted that, in this embodiment, a concept called "common parameter learning" is proposed to implement position determination on the newly added base station and error correction on the error base station, specifically, in the existing configuration, for the phenomenon that an error exists in an excluded base station or a known common parameter, the position determination is performed on the newly added base station through base station switching of signaling data, and the error correction is performed on the error base station.
Specifically, a decision tree model is established according to a loss function minimization principle by learning a base station to which known signaling data belongs and training the characteristics contained in the existing base station information; and classifying the newly added base stations by using the established decision tree model.
Further, the key to decision tree learning is how to select the optimal partition attributes. Generally, as the partitioning process continues, it is desirable that the samples contained in the branch nodes of the decision tree belong to the same class as much as possible. "information entropy" is a most commonly used index for measuring the purity of a sample set, assuming that the current sample set
Figure 777767DEST_PATH_IMAGE061
To middle
Figure 105980DEST_PATH_IMAGE062
The proportion of the class sample is
Figure 262286DEST_PATH_IMAGE063
Then, then
Figure 701358DEST_PATH_IMAGE064
The entropy of information of (a) is defined as:
Figure 508777DEST_PATH_IMAGE065
Figure 7891DEST_PATH_IMAGE066
the smaller the value of (A), the
Figure 651493DEST_PATH_IMAGE067
The higher the purity of (c).
From the viewpoint of description on the integrity of information, when the ordered states of the system are consistent, the more concentrated the local entropy values of the data are, the larger the distributed the local entropy values of the data are; from the aspect of description on the ordering of information, when the data volume is consistent, the more ordered the system is, the lower the entropy value is; the more chaotic or decentralized the system, the higher the entropy value.
Assuming discrete attributes
Figure 159835DEST_PATH_IMAGE068
Is provided with
Figure 838072DEST_PATH_IMAGE069
A possible value
Figure 773667DEST_PATH_IMAGE070
If used, the
Figure 622675DEST_PATH_IMAGE071
To the sample set
Figure 512588DEST_PATH_IMAGE072
The division will generate
Figure 29020DEST_PATH_IMAGE073
A branch node, wherein
Figure 135516DEST_PATH_IMAGE074
Each branch node comprises
Figure 471820DEST_PATH_IMAGE075
All in the attribute
Figure 72696DEST_PATH_IMAGE076
Up value is
Figure 709214DEST_PATH_IMAGE077
The sample of (a) is selected,is marked as
Figure 721033DEST_PATH_IMAGE078
We can calculate according to the above formula
Figure 826523DEST_PATH_IMAGE079
Considering the different sample numbers contained in different branch nodes, the information entropy of (1) gives weight to the branch nodes
Figure 214779DEST_PATH_IMAGE080
I.e. the greater the number of samples, the greater the influence of the branch node, and the useful attribute can then be calculated
Figure 987694DEST_PATH_IMAGE081
For sample set
Figure 170414DEST_PATH_IMAGE082
The obtained information gain is divided, wherein the information gain is calculated by the following formula:
Figure 746888DEST_PATH_IMAGE083
generally, the larger the information gain, the more the usage attribute is meant
Figure 686638DEST_PATH_IMAGE084
The greater the "purity boost" obtained by performing the partitioning. Therefore, we can use the information gain to select the partition attribute of the decision tree, i.e. when the optimal partition attribute is selected, the attribute is selected
Figure 297748DEST_PATH_IMAGE085
Further, dividing the difference of the entropy before and after the data with a certain feature, wherein the entropy can be expressed as the uncertainty of the sample set, the larger the entropy is, the larger the uncertainty of the sample is, so that the difference of the entropy before and after dividing the set can be used to measure the uncertainty of the sample set using the current feature
Figure 916948DEST_PATH_IMAGE086
And (5) the dividing effect is good or bad. Preferably, the larger the information gain, the less the entropy is removed and the less uncertainty should be taken as the optimal feature.
Furthermore, for the base station information to which the existing signaling data belongs, a leave-out method is used, namely, a part of data is reserved as a verification set to carry out performance evaluation, and a general training set is taken "
Figure 465872DEST_PATH_IMAGE088
"to"
Figure 461510DEST_PATH_IMAGE090
And selecting one attribute from the data and the rest as test sets, dividing the training set, calculating the precision of the verification set for each node to judge whether to continue dividing or not, or pruning to achieve the effect of higher precision of the verification set until the precision of the verification set reaches the highest, and dividing the newly added base stations by using the trained decision tree. It should be noted that, since the related technical points of the decision tree are conventional technical means of those skilled in the art, the description is not made in this embodiment, and only a basic algorithm of the decision tree is described as follows:
inputting:
training set
Figure 927127DEST_PATH_IMAGE028
Attribute set
Figure 467960DEST_PATH_IMAGE029
The process is as follows:
function(s)
Figure 19028DEST_PATH_IMAGE030
Generating node nodes
If samples all belong to the same class
Figure 569089DEST_PATH_IMAGE031
then
Marking the node as
Figure 889212DEST_PATH_IMAGE032
Leaf-like nodes; return
End if
If
Figure 850214DEST_PATH_IMAGE033
OR
Figure 376660DEST_PATH_IMAGE034
In the middle of
Figure 714101DEST_PATH_IMAGE091
The upper values are the same as the value of then
Marking nodes as leaf nodes and marking the categories as leaf nodes
Figure 888730DEST_PATH_IMAGE037
The class with the largest number of middle samples, return
End if
From
Figure 771367DEST_PATH_IMAGE038
In selecting the optimal partition attribute
Figure 31447DEST_PATH_IMAGE039
For
Figure 906999DEST_PATH_IMAGE040
Each value of (1)
Figure 686867DEST_PATH_IMAGE041
do
Generating a branch for the node; order to
Figure 786410DEST_PATH_IMAGE042
To represent
Figure 268207DEST_PATH_IMAGE043
In
Figure 698183DEST_PATH_IMAGE044
Up value is
Figure 581825DEST_PATH_IMAGE045
A subset of samples of (a);
If
Figure 321111DEST_PATH_IMAGE046
is empty then
Marking branch nodes as leaf nodes and marking the categories of the branch nodes as leaf nodes
Figure 303586DEST_PATH_IMAGE047
Class with the most samples; return
Else
To be provided with
Figure 786520DEST_PATH_IMAGE048
Is a branch node
End if
End for
And (3) outputting:
a decision tree with node as root node.
According to the embodiment of the invention, the sector radius of the outdoor station is set based on the base station information, and the overlapping area is obtained by using a preset area conversion algorithm.
Note that, the calculation of the overlap area is as follows: convert the sector area into arbitrary polygon area, through traversing the summit of the overlap portion, utilize "shoelace theorem" to calculate arbitrary polygon area:
for any polygon, if the coordinates of its respective vertices are known
Figure 540980DEST_PATH_IMAGE092
Then the area of this polygon is:
Figure 451167DEST_PATH_IMAGE093
wherein the content of the first and second substances,
Figure 173136DEST_PATH_IMAGE094
and calculating all areas covered by the base station sector, comparing the size of the overlapping area of the areas with each specified area, and finally attributing the outdoor station sector to the specified area with the largest overlapping area.
It is worth mentioning that determining the street to which the base station sector belongs further comprises:
identifying the longitude and latitude of the base station and the base station number to obtain the coverage range of a base station sector;
and identifying the overlapping area between the range and each street range based on the coverage range, and extracting the street with the largest area overlapping degree.
It should be noted that, because the area of the base station sector is large, there may be a situation where there are multiple streets in the coverage area, and therefore, the coincidence degree between the street range and the coverage area may be used as a reference factor, and the street corresponding to the maximum area coincidence degree is extracted as the street of the base station sector.
It should be noted that, when the base station sector includes two streets, and the difference between the coverage areas and the area overlapping degrees of the two street areas is smaller than the preset difference threshold, the method further includes:
extracting the buffer area after the base station sector is expanded;
and identifying the region contact ratio of the two streets based on the buffer range corresponding to the buffer region, wherein the street corresponding to the maximum region contact ratio is extracted.
Note that the base station sector includes streets
Figure 679335DEST_PATH_IMAGE095
And street
Figure 803148DEST_PATH_IMAGE096
In the case of (2), the coverage area isStreet with a light source
Figure 618658DEST_PATH_IMAGE097
Degree of area overlap of regions
Figure 578655DEST_PATH_IMAGE098
Said coverage and street
Figure 137812DEST_PATH_IMAGE099
Area overlap ratio of area
Figure 116132DEST_PATH_IMAGE100
Taking the difference threshold value as 3% ", when
Figure 844486DEST_PATH_IMAGE101
Less than 3%, identifying streets based on the buffer range pair corresponding to the buffer area
Figure 275467DEST_PATH_IMAGE102
And street
Figure DEST_PATH_IMAGE103
The region overlap ratio of (2), wherein the street corresponding to the maximum region overlap ratio is extracted.
It is worth mentioning that the method further comprises:
extracting a first transition zone of the urban area and the suburban area, and setting the sector radius specification of the first transition zone to be six hundred meters;
and extracting a second transition zone of the suburb and the open area, and setting the radius of the sector of the second transition zone to be one thousand, two and hundred meters.
It should be noted that, in this embodiment, in some cities, because there is often a large span between the urban area and the suburban area, rather than suddenly switching from the urban area to the suburban area directly, for such a first transition zone, the sector radius may be set to be six hundred meters according to practical situations, and correspondingly, the second transition zone may be set to be one thousand two hundred meters.
A third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a program of a method for identifying a base station sector affiliation of a communication base station, and when the program of the method for identifying a base station sector affiliation of a communication base station is executed by a processor, the method for identifying a base station sector affiliation of a communication base station implements the steps of the method for identifying a base station sector affiliation of a communication base station as described in any one of the above.
The method, the system and the readable storage medium for identifying the base station sector affiliation of the communication base station can specifically allocate the base station sector affiliation to a certain street by allocating the outdoor base station sector and the indoor base station, thereby providing possibility for reflecting the mobility and monitoring of population.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps of implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer-readable storage medium, and when executed, executes the steps including the method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.

Claims (8)

1. A method for identifying the affiliation of a base station sector of a communication base station is characterized by comprising the following steps:
collecting base station information, wherein the base station information comprises base station longitude and latitude, network type and base station number;
dividing base station sectors with different specifications based on the network system and a preset population density value;
judging whether the base station sector is in a preset specified area, wherein if yes, identifying that the base station sector belongs to the specified area; if not, the specified area is expanded to obtain a buffer area;
determining whether the base station sector is within the buffer region, wherein,
if the base station sector is in the buffer area, judging whether the base station corresponding to the base station sector is an indoor station or not, wherein,
if so, judging whether the indoor station is in the specified area, if so, identifying that the indoor station belongs to the specified area, and if not, not identifying that the base station corresponding to the base station sector belongs to the specified area;
if not, the base station corresponding to the base station sector is an outdoor station, and the overlapping area of the outdoor station sector and a plurality of specified areas is calculated, wherein the outdoor station sector belongs to the specified area with the largest overlapping area;
if the base station sector is not in the buffer area, not identifying the base station attribution corresponding to the base station sector;
the method further comprises the following steps: identifying base station switching data through signaling data so as to carry out position judgment on the newly added base station and carry out error correction on the error base station;
setting the sector radius of the outdoor station based on the base station information, and obtaining the overlapping area by using a preset area conversion algorithm;
determining a street to which the base station sector belongs further comprises:
identifying the longitude and latitude of the base station and the number of the base station to obtain the coverage range of a base station sector;
identifying the overlapping area of each street range in the range based on the coverage range, and extracting the street with the maximum area overlapping degree;
when the base station sector comprises two streets, and the difference value of the area overlapping degrees of the coverage area and the range of the two streets is smaller than a preset difference threshold value, the method further comprises the following steps:
extracting the buffer area after the external expansion;
and identifying the region contact ratio of the two streets based on the buffer range corresponding to the buffer region, wherein the street corresponding to the maximum region contact ratio is extracted.
2. The method of claim 1, wherein the base station information is obtained based on data provided by a preset operator, and the base station information comprises base station longitude and latitude, antenna hanging height, antenna downward inclination, network type, base station number, cellular network information, and angle distribution information.
3. The method as claimed in claim 1, wherein the dividing of the base station sectors of different specifications based on the network standard and the preset population density value specifically comprises:
combining the population density value to divide based on a 4G network system to obtain different base station sectors, wherein the base station sectors comprise urban areas, suburban areas and open areas;
setting the sector radius specification of the urban area to be four hundred meters, the sector radius specification of the suburban area to be eight hundred meters,
the radius specification of the sector of the open area is set to be one thousand, five and hundred meters.
4. The method of claim 1, further comprising:
checking the network system of each base station sector and the identification result of the base station number based on the longitude and latitude of the base station;
and determining street information to which each base station sector belongs based on the identification result.
5. A system for identifying a base station sector affiliation of a communication base station, comprising a memory and a processor, wherein the memory includes a program for a method for identifying a base station sector affiliation of a communication base station, and the program for the method for identifying a base station sector affiliation of a communication base station implements the following steps when executed by the processor:
collecting base station information, wherein the base station information comprises base station longitude and latitude, network type and base station number;
dividing base station sectors with different specifications based on the network standard and a preset population density value;
judging whether the base station sector is in a preset specified area, wherein if yes, identifying that the base station sector belongs to the specified area; if not, externally expanding the specified area to obtain a buffer area;
determining whether the base station sector is within the buffer region, wherein,
if the base station sector is in the buffer area, judging whether the base station corresponding to the base station sector is an indoor station or not, wherein,
if yes, judging whether the indoor station is in the specified area, if yes, identifying that the indoor station belongs to the specified area, and if not, not identifying that the base station corresponding to the base station sector belongs to;
if not, the base station corresponding to the base station sector is an outdoor station, and the overlapping area of the outdoor station sector and the specified areas is calculated, wherein the outdoor station sector belongs to the specified area with the largest overlapping area;
if the base station sector is not in the buffer area, not identifying the base station attribution corresponding to the base station sector;
the method further comprises the following steps: identifying base station switching data through signaling data so as to judge the position of the newly added base station and correct the error of the error base station;
setting the sector radius of the outdoor station based on the base station information, and obtaining the overlapping area by using a preset area conversion algorithm;
determining a street to which the base station sector belongs further comprises:
identifying the longitude and latitude of the base station and the number of the base station to obtain the coverage range of a base station sector;
identifying the overlapping area of each street range in the range based on the coverage range, and extracting the street with the maximum area overlapping degree;
when the base station sector comprises two streets, and the difference value of the coverage area and the area overlap ratio of the two streets is smaller than the preset difference threshold value, the method further comprises the following steps:
extracting the buffer area after the external expansion;
and identifying the region contact ratio of the two streets based on the buffer range corresponding to the buffer region, wherein the street corresponding to the maximum region contact ratio is extracted.
6. The system as claimed in claim 5, wherein the dividing of base station sectors of different specifications based on the network standard and the preset population density level value specifically comprises:
combining the population density value to divide based on a 4G network system to obtain different base station sectors, wherein the base station sectors comprise urban areas, suburban areas and open areas;
setting the sector radius specification of the urban area to be four hundred meters, the sector radius specification of the suburban area to be eight hundred meters,
the radius specification of the sector of the open area is set to be one thousand, five and hundred meters.
7. The system of claim 5, further comprising:
checking the network system of each base station sector and the identification result of the base station number based on the longitude and latitude of the base station;
and determining street information to which each base station sector belongs based on the identification result.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a program of a method for identifying a base station sector affiliation of a communication base station, and the program of the method for identifying a base station sector affiliation of a communication base station implements the steps of the method for identifying a base station sector affiliation of a communication base station according to any one of claims 1 to 4 when executed by a processor.
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