CN109936851A - LTE network index processing method and processing device - Google Patents

LTE network index processing method and processing device Download PDF

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Publication number
CN109936851A
CN109936851A CN201711352779.3A CN201711352779A CN109936851A CN 109936851 A CN109936851 A CN 109936851A CN 201711352779 A CN201711352779 A CN 201711352779A CN 109936851 A CN109936851 A CN 109936851A
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cell
collection point
grid
value
target cell
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CN109936851B (en
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吴剑浪
蔡丹森
朱争
孙春来
贾洪潮
李俊杰
陈锋
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China Mobile Communications Group Co Ltd
China Mobile Group Zhejiang Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Zhejiang Co Ltd
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Abstract

The embodiment of the present invention provides a kind of LTE network index processing method and processing device provided in an embodiment of the present invention, the RSRP value of the collection point MR acquisition in monitor value and each cell by obtaining the network index of each cell of LTE, and the collection point MR in each cell is grouped according to RSRP threshold value, the position of the collection point MR in each cell is obtained simultaneously, rasterizing processing is carried out to the collection point MR according to the position of the collection point MR in each cell, finally according to the monitor value of Target cell, the sum and the number obtain the numerical value of each grid using Index Formula, and grid is divided based on numberical range, index in each grid is set more to meet actual services level, convenient for problem grid is more accurately positioned.

Description

LTE network index processing method and processing device
Technical field
The present embodiments relate to network optimisation techniques field more particularly to a kind of LTE network index processing method and dresses It sets.
Background technique
In the 4G network optimization, LTE cell-level index can quickly and effectively reflect the problem of cell integrally exists, then pass through root Corresponding solution can be formulated according to questions and prospect.But single cell coverage area is generally 500~2000m in practical applications Fan-shaped region, problem area position can not be determined by cell-level index, still need to expend it is a large amount of artificial, to MPS process Region carry out in detail traversal test carry out positioning problems, then based on this formulate associated solutions, Resolving probiems efficiency it is lower and Cost input is larger.At present, on the one hand, it is even higher that the grid precision based on MR positioning can reach 50m*50m, by cell-level Cell-level index can then be transformed by reasonable, efficient means rasterizing and have geographical location information lattice level by index Index;On the other hand, grid MR index is not enough to characterize grid problem, if various dimensions lattice level cell index can be drawn Enter, then can quick and precisely orientation problem region, while deep-cut problem root because.
Geographic area is carried out rasterizing processing first, the whole network is divided by existing cell index rasterizing technical solution For the grid of N*N, and each grid is numbered;Again, rasterizing processing is carried out to LTE cell, to obtain each small Area covers the grid being related to;Again, according to cell rasterizing processing result, LTE network index is evenly distributed to respective cell The each grid covered;Finally the LTE network index of each cell in each grid is overlapped, it is folded to obtain each grid LTE network index after adding realizes LTE network index rasterizing.
LTE network index is evenly distributed to each grid that respective cell is covered by the prior art, but cell is covered Each grid index it is identical, be unable to respond the problems of practical grid.
Summary of the invention
The embodiment of the present invention provides a kind of LTE network index processing method and processing device, in the prior art can not for solving Reflect the problems of practical grid.
In a first aspect, the embodiment of the present invention provides a kind of LTE network index processing method, comprising:
The monitor value of the network index of each cell of LTE is obtained, and obtains the RSRP value of the collection point MR acquisition in each cell;
The RSRP value and preset RSRP threshold value acquired according to the collection point MR in each cell is to the collection point MR in each cell It is grouped, obtains the sum of the collection point MR in each grouping;
The position for obtaining the collection point MR in each cell carries out grid to the collection point MR according to the position of the collection point MR in each cell It formats processing, determines each affiliated grid in the collection point MR;
It determines the Target cell for including in each grid, and obtains the collection point MR said target cell in each grid and exist Number under each grouping;
The number of each grid is obtained using Index Formula according to the monitor value of Target cell, the sum and the number Value;
Grid is divided according to the numerical value and preset numberical range and the corresponding relationship for dividing mark, and will be drawn Divide as the result is shown.
Second aspect, the embodiment of the present invention provide a kind of LTE network index processing unit, comprising:
Module, the monitor value of the network index for obtaining each cell of LTE are obtained, and obtains the collection point MR in each cell The RSRP value of acquisition;
Division module, the RSRP value and preset RSRP threshold value for being acquired according to the collection point MR in each cell are to each small The collection point MR is grouped in area, obtains the sum of the collection point MR in each grouping;
Rasterizing processing module, for obtaining the position of the collection point MR in each cell, according to the collection point MR in each cell Position carries out rasterizing processing to the collection point MR, determines each affiliated grid in the collection point MR;
Statistical module, for determining the collection point MR in the Target cell for including in each grid, and each grid of acquisition Number of the said target cell under each grouping;
Computing module, for being obtained according to the monitor value, the sum and the number of Target cell using Index Formula The numerical value of each grid;
Display module, for according to the numerical value and preset numberical range and divide the corresponding relationship of mark to grid into Row divides, and division result is shown.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, comprising: processor, memory, bus and are stored in On memory and the computer program that can run on a processor;
Wherein, the processor, memory complete mutual communication by the bus;
The processor realizes such as above-mentioned method when executing the computer program.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, which is characterized in that described It is stored with computer program in non-transient computer readable storage medium, is realized when which is executed by processor as above The method stated.
As shown from the above technical solution, a kind of LTE network index processing method and processing device provided in an embodiment of the present invention is led to The RSRP value of the collection point MR acquisition in the monitor value for obtaining the network index of each cell of LTE and each cell is crossed, and according to RSRP threshold Value is grouped the collection point MR in each cell, while obtaining the position of the collection point MR in each cell, according to MR in each cell The position of collection point to the collection point MR carry out rasterizing processing, finally according to the monitor value of Target cell, it is described sum and it is described Number obtains the numerical value of each grid using Index Formula, and is divided based on numberical range to grid, makes in each grid Index more meets actual services level, convenient for problem grid is more accurately positioned.
Detailed description of the invention
Fig. 1 is the flow diagram for the LTE network index processing method that one embodiment of the invention provides;
Fig. 2 is the flow diagram for the LTE network index processing method that one embodiment of the invention provides;
Fig. 3 is that one embodiment of the invention carries out the index schematic diagram after rasterizing division to ESRVCC handover success rate;
Fig. 4 is the structural schematic diagram for the LTE network index processing unit that one embodiment of the invention provides;
Fig. 5 is the structural schematic diagram for the electronic equipment that one embodiment of the invention provides.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below Example is not intended to limit the scope of the invention for illustrating the present invention.
Fig. 1 shows one embodiment of the invention and provides a kind of LTE network index processing method, comprising:
S11, obtain each cell of LTE network index monitor value, and obtain the collection point MR acquisition in each cell RSRP value.
In this step, it should be noted that in embodiments of the present invention, LTE has multinomial business network index, such as Cutting off rate, handover success rate, eSRVCC switching accounting etc..
In the present embodiment, the autonomous system being analyzed and processed to LTE network index first has to obtain each cell The monitor value of network index, the monitoring can be obtained by base station monitors.Also need to obtain what the collection point MR in each cell acquired RSRP value (that is: Reference Signal Received Power).Wherein the collection point MR can be terminal device, fixed verbal system etc..
S12, the RSRP value acquired according to the collection point MR in each cell and preset RSRP threshold value adopt MR in each cell Collection point is grouped, and obtains the sum of the collection point MR in each grouping.
In this step, it should be noted that in embodiments of the present invention, the collection point MR in each cell is acquired RSRP value and preset RSRP threshold value are grouped the collection point MR in each cell.
In embodiments of the present invention, RSRP threshold value can be precalculated by logistics regression function based on test data Reasonable RSRP threshold value, and in this method.Specific calculating process is as follows:
One trigger threshold RSRP is often arranged in the cell for indexs such as handover success rate, ESRVCC switching accountings As trigger conditions, but not reach the threshold value thresholding and trigger, the RSRP actually triggered often has fluctuation, similar The RSRP value of dropped call event triggering can also have fluctuation.By laboratory and real network test data, obtain in different RSRP When value, the probability scatter plot that triggering index S event occurs makes corresponding probability curve mould using Logistic regression function Type.
Logistic return be probabilistic type nonlinear regression model (NLRM), be research two classification observation result y and some influences because X=x0, x1, x2... xn) between relationship a kind of multivariable technique, can usually study under certain conditions some and tie Whether fruit occurs, be mainly used to estimate corresponding RSRP value in the case of triggering index S different probability herein, determines to close with this Suitable RSRP threshold value.
Consider the vector (x=x with N number of independent variable0, x1, x2... xn), if the indignant rate p=P of condition (y=1 | x) it is root The probability occurred according to observed quantity relative to certain event X.So Logistic regression model can indicate are as follows:
Referred to here asFor Logistic regression function.
Wherein g (x)=w0+w1x1+…+wnxn, obtained by LR classifier.LR under situation of classifying, after overfitting Classifier is one group of weight (w0,w1,w2,…wn), when the input of the data of test sample, this group of weight and test data according to Linear adduction obtains g (x).
So probability that y does not occur under the conditions of x are as follows:
So the ratio between the probability that event occurs and do not occur are as follows:
This ratio is known as the generation of event than (the odds of experiencing an event), is abbreviated as odds。
Logarithm is taken to obtain odds:
It is can simplify when for only considering a variable R SRP as g (x)=w0+w1X;It so can be non-linear time by this Equation is returned to be converted to simple equation of linear regression.Corresponding w can be acquired using least square method0, w1Value.
Wherein piTo be X when RSRP valueiThe probability of Shi ZhibiaoS triggering,For average value.
According to Logistic regression function:
The probability that can estimate any MR sampled point index S triggering is piWhen corresponding RSRP be Xi
P can be taken in practical applicationi=95%, the RSRP value that can be calculated at this time is RSRP0, as RSRP decision threshold.
S13, the position for obtaining the collection point MR in each cell, acquire MR according to the position of the collection point MR in each cell and click through The processing of row rasterizing, determines each affiliated grid in the collection point MR.
In this step, it should be noted that in embodiments of the present invention, the MR location technology based on fingerprint base, first The position for obtaining the collection point MR in each cell carries out at rasterizing the collection point MR according to the position of the collection point MR in each cell Reason, the collection point MR is navigated in 50 meters × 50 meters of grid, and determines which grid which collection point MR belongs in.By this Kind rasterizing processing, the network index differentiation of cell i can be presented in cell grid, more accurate positionin cell problem Grid positions.
S14, it determines the Target cell for including in each grid, and obtains the collection point MR said target in each grid Number of the cell under each grouping.
In this step, it should be noted that in embodiments of the present invention, may dabble in a grid multiple small Therefore area can include the collection point MR of multiple cells in a grid.Therefore, system can be determined each by cell ID The cell for including in grid as Target cell, while also obtaining in each grid the collection point MR said target cell at each point Number under group.All how many collection points of the collection point MR under the grouping of i.e. one Target cell are in the grid.
S15, each grid is obtained using Index Formula according to the monitor value, the sum and the number of Target cell Numerical value.
In this step, it should be noted that in embodiments of the present invention, small due to dabbling multiple targets in each grid Area, therefore, it is necessary to obtain the monitor value of these Target cells.The sum and each grid of all collection points MR of Target cell Number of the middle collection point the MR said target cell under each grouping.
After parameter obtains, the numerical value of each grid is obtained according to preset Index Formula.
The Index Formula are as follows:
Wherein, TjFor the numerical value of the network index of grid j, i is the mark of network index, and k is the Target cell in grid Number, A1ij、A2ij…AnijFor number of the collection point the MR said target cell under each grouping, N in each grid1i、N2i… NniFor the sum of the collection point MR in each grouping of Target cell i, K1、K2…KnFor the corresponding influence of each grouping of Target cell i The factor, SiFor the monitor value of the network index of Target cell i.
S16, grid is divided according to the corresponding relationship of the numerical value and preset numberical range and division mark.
In this step, it should be noted that in embodiments of the present invention, difference configurable for different network indexes Numberical range and divide mark corresponding relationship.In this way, the grid in different demarcation result can be obtained for different networks Trrellis diagram.
A kind of LTE network index processing method provided in an embodiment of the present invention, the network by obtaining each cell of LTE refer to The RSRP value that the collection point MR acquires in target monitor value and each cell, and MR acquisition in each cell is clicked through according to RSRP threshold value Row grouping, while the position of the collection point MR in each cell is obtained, MR is acquired according to the position of the collection point MR in each cell and is clicked through The processing of row rasterizing is finally obtained according to the monitor value of Target cell, the sum and the number using Index Formula each The numerical value of grid, and grid is divided based on numberical range, division result is shown, meets index in each grid more Actual services are horizontal, convenient for problem grid is more accurately positioned.
Fig. 2 shows a kind of LTE network index processing methods that one embodiment of the invention provides, comprising:
S21, obtain each cell of LTE network index monitor value, and obtain the collection point MR acquisition in each cell RSRP value;
S22, the RSRP value acquired according to the collection point MR in each cell and preset RSRP threshold value adopt MR in each cell Collection point is grouped, and obtains the sum of the collection point MR in each grouping;
S23, the position for obtaining the collection point MR in each cell, acquire MR according to the position of the collection point MR in each cell and click through The processing of row rasterizing, determines each affiliated grid in the collection point MR;
S24, it determines the Target cell for including in each grid, and obtains the collection point MR said target in each grid Number of the cell under each grouping;
S25, each grid is obtained using Index Formula according to the monitor value, the sum and the number of Target cell Numerical value;
S26, it is corresponded to according to the corresponding relationship acquisition numerical value of the numerical value and preset numberical range and division mark Division mark;
S27, division mark is arranged in the grid.
For above-mentioned steps S21- step S25, it should be noted that the step S11- of these steps and above-described embodiment step The principle of rapid S15 is identical, and details are not described herein.Only it should be understood that
For step S22, in embodiments of the present invention, point set and cell edge region are acquired with center of housing estate region MR MR acquisition point set is grouped.
RSRP value is greater than RSRP threshold value and is divided into one group, is i.e. center of housing estate region MR acquires point set, and RSRP value is less than Or being divided into one group equal to RSRP threshold value, i.e. cell edge region MR acquires point set.
Concretely:
Wherein, RSRP0For threshold value, K1And K2For the Index Influence factor.
Count the sum of the collection point MR in each grouping.In cell i, the sum of the center of housing estate region collection point MR is N1i, the sum of the collection point cell edge region MR is N2i
For step S25, in embodiments of the present invention, point set and cell edge region are acquired with center of housing estate region MR For MR acquires point set, the Index Formula is alterable are as follows:
For step S26- step S27, it should be noted that system can according to the numerical value and preset numberical range and The corresponding relationship of division mark obtains the corresponding division mark of the numerical value, and it can be different patterns which, which identifies, different Color, different numbers etc..In the grid by the setting of division mark, it and is shown as division result.
If Fig. 3 is to carry out the schematic diagram after rasterizing division to ESRVCC handover success rate.From figure 3, it can be seen that such as Color within the scope of 0-5,5-10,10-15 and 15-40 is all different, and rasterizing index is made more to can accurately reflect actual conditions.
A kind of LTE network index processing method provided in an embodiment of the present invention, the network by obtaining each cell of LTE refer to The RSRP value that the collection point MR acquires in target monitor value and each cell, and MR acquisition in each cell is clicked through according to RSRP threshold value Row grouping, while the position of the collection point MR in each cell is obtained, MR is acquired according to the position of the collection point MR in each cell and is clicked through The processing of row rasterizing is finally obtained according to the monitor value of Target cell, the sum and the number using Index Formula each The numerical value of grid, and grid is divided based on numberical range, division result is shown, meets index in each grid more Actual services are horizontal, convenient for problem grid is more accurately positioned.
Fig. 4 show one embodiment of the invention offer a kind of LTE network index processing unit, including obtain module 21, Grouping module 22, rasterizing processing module 23, statistical module 24, computing module 25 and display module 26, in which:
Module 21, the monitor value of the network index for obtaining each cell of LTE are obtained, and obtains MR acquisition in each cell The RSRP value of point acquisition;
Grouping module 22, the RSRP value and preset RSRP threshold value for being acquired according to the collection point MR in each cell are to each The collection point MR is grouped in cell, obtains the sum of the collection point MR in each grouping;
Rasterizing processing module 23, for obtaining the position of the collection point MR in each cell, according to the collection point MR in each cell Position to the collection point MR carry out rasterizing processing, determine each affiliated grid in the collection point MR;
Statistical module 24, for determining MR acquisition in the Target cell for including in each grid, and each grid of acquisition Number of the point said target cell under each grouping;
Computing module 25, for being obtained according to the monitor value, the sum and the number of Target cell using Index Formula Obtain the numerical value of each grid;
Division module 26, the corresponding relationship for being identified according to the numerical value and preset numberical range and division is to grid It is divided, and division result is shown.
During processing, the monitor value that module 21 obtains the network index of each cell of LTE is obtained, and obtains each cell The RSRP value of the middle collection point MR acquisition, and monitor value is sent to computing module, RSRP value is sent to grouping module.It is grouped mould The RSRP value and preset RSRP threshold value that block 22 is acquired according to the collection point MR in each cell carry out the collection point MR in each cell Grouping, obtains the sum of the collection point MR in each grouping, and the sum of the collection point MR in each grouping is sent to calculating mould Block.
Rasterizing processing module 23 obtains the position of the collection point MR in each cell, according to the position of the collection point MR in each cell Rasterizing processing is carried out to the collection point MR, determines each affiliated grid in the collection point MR.Statistical module 24 determines to be wrapped in each grid The Target cell contained, and number of the collection point the MR said target cell under each grouping in each grid is obtained, and will be each Number of the collection point the MR said target cell under each grouping is sent to computing module in grid.
Computing module 25 is obtained according to the monitor value, the sum and the number of Target cell using Index Formula each The numerical value of grid, and it is sent to division module.Division module 26 is according to the numerical value and preset numberical range and divides mark Corresponding relationship grid is divided.
Since described device of the embodiment of the present invention is identical as the principle of above-described embodiment the method, for more detailed Explain that details are not described herein for content.
It should be noted that can be by hardware processor (hardware processor) come real in the embodiment of the present invention Existing related function module.
A kind of LTE network index processing unit provided in an embodiment of the present invention, the network by obtaining each cell of LTE refer to The RSRP value that the collection point MR acquires in target monitor value and each cell, and MR acquisition in each cell is clicked through according to RSRP threshold value Row grouping, while the position of the collection point MR in each cell is obtained, MR is acquired according to the position of the collection point MR in each cell and is clicked through The processing of row rasterizing is finally obtained according to the monitor value of Target cell, the sum and the number using Index Formula each The numerical value of grid, and grid is divided based on numberical range, division result is shown, meets index in each grid more Actual services are horizontal, convenient for problem grid is more accurately positioned.
Fig. 5 shows a kind of electronic equipment of one embodiment of the invention offer, comprising: processor 301,302 and of memory Bus 303, wherein
The processor and memory complete mutual communication by the bus;
The memory is stored with the program instruction that can be executed by the processor, to execute above-mentioned each method embodiment institute The method of offer, for example, obtain the monitor value of the network index of each cell of LTE, and obtain the collection point MR in each cell The RSRP value of acquisition;The RSRP value and preset RSRP threshold value acquired according to the collection point MR in each cell is to MR in each cell Collection point is grouped, and obtains the sum of the collection point MR in each grouping;The position for obtaining the collection point MR in each cell, according to The position of the collection point MR carries out rasterizing processing to the collection point MR in each cell, determines each affiliated grid in the collection point MR;It determines The Target cell for including in each grid, and obtain of the collection point the MR said target cell under each grouping in each grid Number;The numerical value of each grid is obtained using Index Formula according to the monitor value of Target cell, the sum and the number;According to The numerical value and preset numberical range and the corresponding relationship for dividing mark divide grid.
A kind of non-transient computer readable storage medium that one embodiment of the invention provides, the non-transient computer are readable Storage medium stores computer instruction, and the computer instruction executes the computer provided by above-mentioned each method embodiment Method, for example, obtain the monitor value of the network index of each cell of LTE, and obtain the collection point MR acquisition in each cell RSRP value;The RSRP value and preset RSRP threshold value acquired according to the collection point MR in each cell is to the collection point MR in each cell It is grouped, obtains the sum of the collection point MR in each grouping;The position for obtaining the collection point MR in each cell, according in each cell The position of the collection point MR carries out rasterizing processing to the collection point MR, determines each affiliated grid in the collection point MR;Determine each grid In include Target cell, and obtain number of the collection point the MR said target cell under each grouping in each grid;According to The monitor value of Target cell, the sum and the number obtain the numerical value of each grid using Index Formula;According to the number Value and preset numberical range and the corresponding relationship for dividing mark divide grid.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed Meaning one of can in any combination mode come using.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims, Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame Claim.
Those of ordinary skill in the art will appreciate that: the above embodiments are only used to illustrate the technical solution of the present invention., and It is non-that it is limited;Although present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art It is understood that it is still possible to modify the technical solutions described in the foregoing embodiments, either to part of or All technical features are equivalently replaced;And these are modified or replaceed, it does not separate the essence of the corresponding technical solution this hair Bright claim limited range.

Claims (10)

1. a kind of LTE network index processing method characterized by comprising
The monitor value of the network index of each cell of LTE is obtained, and obtains the RSRP value of the collection point MR acquisition in each cell;
The RSRP value and preset RSRP threshold value acquired according to the collection point MR in each cell carries out the collection point MR in each cell Grouping, obtains the sum of the collection point MR in each grouping;
The position for obtaining the collection point MR in each cell carries out rasterizing to the collection point MR according to the position of the collection point MR in each cell Processing, determines each affiliated grid in the collection point MR;
Determine that the collection point MR said target cell is at each point in the Target cell for including in each grid, and each grid of acquisition Number under group;
The numerical value of each grid is obtained using Index Formula according to the monitor value of Target cell, the sum and the number;
Grid is divided according to the numerical value and preset numberical range and the corresponding relationship for dividing mark.
2. the method according to claim 1, wherein the Index Formula are as follows:
Wherein, TjFor the numerical value of the network index of grid j, i is the mark of network index, and k is of the Target cell in grid Number, A1ij、A2ij…AnijFor number of the collection point the MR said target cell under each grouping, N in each grid1i、N2i…NniFor The sum of the collection point MR, K in each grouping of Target cell i1、K2…KnFor Target cell i the corresponding influence of each grouping because Son, SiFor the monitor value of the network index of Target cell i.
3. the method according to claim 1, wherein the grouping includes that center of housing estate region MR acquires point set Point set is acquired with cell edge region MR.
4. according to the numerical value and preset numberical range and being drawn the method according to claim 1, wherein described The corresponding relationship that minute mark is known divides grid, and division result is shown, comprising:
According to the numerical value and preset numberical range division mark corresponding with the corresponding relationship acquisition numerical value of mark is divided Know;
In the grid by the setting of division mark.
5. a kind of LTE network index processing unit characterized by comprising
Module, the monitor value of the network index for obtaining each cell of LTE are obtained, and obtains the collection point MR acquisition in each cell RSRP value;
Grouping module, the RSRP value and preset RSRP threshold value for being acquired according to the collection point MR in each cell are in each cell The collection point MR is grouped, and obtains the sum of the collection point MR in each grouping;
Rasterizing processing module, for obtaining the position of the collection point MR in each cell, according to the position of the collection point MR in each cell Rasterizing processing is carried out to the collection point MR, determines each affiliated grid in the collection point MR;
Statistical module, for determining in the Target cell for including in each grid, and each grid of acquisition belonging to the collection point MR Number of the Target cell under each grouping;
Computing module, for being obtained each according to the monitor value, the sum and the number of Target cell using Index Formula The numerical value of grid;
Division module, for being drawn according to the corresponding relationship of the numerical value and preset numberical range and division mark to grid Point.
6. device according to claim 5, which is characterized in that the Index Formula are as follows:
Wherein, TjFor the numerical value of the network index of grid j, i is the mark of network index, and k is of the Target cell in grid Number, A1ij、A2ij…AnijFor number of the collection point the MR said target cell under each grouping, N in each grid1i、N2i…NniFor The sum of the collection point MR, K in each grouping of Target cell i1、K2…KnFor Target cell i the corresponding influence of each grouping because Son, SiFor the monitor value of the network index of Target cell i.
7. device according to claim 5, which is characterized in that the grouping includes that center of housing estate region MR acquires point set Point set is acquired with cell edge region MR.
8. device according to claim 5, which is characterized in that the division module is specifically used for:
According to the numerical value and preset numberical range division mark corresponding with the corresponding relationship acquisition numerical value of mark is divided Know;
In the grid by the setting of division mark.
9. a kind of electronic equipment characterized by comprising processor, memory, bus and storage on a memory and can located The computer program run on reason device;
Wherein, the processor, memory complete mutual communication by the bus;
The processor realizes the method as described in claim 1-4 is any when executing the computer program.
10. a kind of non-transient computer readable storage medium, which is characterized in that in the non-transient computer readable storage medium It is stored with computer program, the method as described in claim 1-4 is any is realized when which is executed by processor.
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