CN105844607B - A kind of statistical method, device and the electronic equipment of road test permeability - Google Patents
A kind of statistical method, device and the electronic equipment of road test permeability Download PDFInfo
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Abstract
The embodiment of the present invention provides statistical method, device and the electronic equipment of a kind of road test permeability.The statistical method of road test permeability, the road test permeability are characterized by test depth, and the statistical method includes: to obtain the first identifier in each region in region corresponding to whole sampled points in this road test data；Obtain history time and again in road test data in region corresponding to whole sampled points each region second identifier；According to all first identifiers and whole second identifiers, the test depth is calculated.The embodiment of the present invention can simply and efficiently carry out road test permeability counting and capable of accurately measuring the careful degree of test.
Description
Technical field
The present invention relates to radio communication service technical field more particularly to a kind of statistical method of road test permeability,
Device and electronic equipment.
Background technique
Frequency sweep data are the significant data sources of radio network optimization and performance evaluation, and collecting work is particularly significant how
Accurate adequately acquisition frequency sweep data directly influence subsequent network performance examination and Optimization Work.
Whether the acquisition of frequency sweep data is abundant, and a most important measurement index is exactly road test permeability, therefore road
It is comprehensively the most key whether the statistical method of test permeability covers evaluation drive test data.
The sample point data that sweep check reports includes time, GPS information, metrical information, can pass through sampled point longitude and latitude
Degree show that test mileage and route are distributed, and according to these information, existing road test permeability, common statistical has base
Statistical in mileage and the statistical based on route.
There are problems that the following using the statistical based on mileage or the statistical based on route.
Problem one: statistical result is not accurate enough, can not reflect actual test fineness
Statistical based on mileage simply calculates test mileage according to sampling point information, can not learn actual test
Route conditions can not accurately measure the careful degree of test.
Problem two: statistic algorithm complexity is high, and accuracy is in programme path
Statistical based on route, according to sampled point latitude and longitude information, with real road carry out geography information compare come
Test route is obtained to the level of coverage of physical planning route, algorithm complexity is higher, and the accuracy counted is in planning
The precision of route.
Summary of the invention
The purpose of the embodiment of the present invention is that statistical method, device and the electronic equipment of a kind of road test permeability are provided,
Simply and efficiently to carry out counting and can accurately measure the careful degree of test to road test permeability.
In order to solve the above technical problems, offer of embodiment of the present invention scheme is as follows:
The embodiment of the present invention provides a kind of statistical method of road test permeability, and the road test permeability passes through survey
Depth characterization is tried, the statistical method includes:
Obtain the first identifier in each region in region corresponding to whole sampled points in this road test data；
Obtain history time and again in road test data in region corresponding to whole sampled points each region second identifier；
According to all first identifiers and whole second identifiers, the test depth is calculated.
Preferably, described to obtain in this road test data the of each region in region corresponding to whole sampled points
One mark include:
According between the first longitude and latitude and longitude and latitude and area identification of sampled points whole in this road test data
Default corresponding relationship, determines the first identifier；
It is described obtain history time and again in road test data in region corresponding to whole sampled points each region second
Mark includes:
According to the second longitude and latitude of sampled points whole in history time and again road test data and longitude and latitude and area identification it
Between default corresponding relationship, determine the second identifier.
Preferably, described according to all first identifiers and whole second identifiers, calculate the test depth packet
It includes:
The number of all first identifiers is determined as A；
According to all first identifiers and whole second identifiers, determine that history time and again exists in road test data
The third for corresponding to sampled point and whole third regions of corresponding sampled point being not present in this road test data identifies；
The number of all third marks is determined as B；
It calculates A/ (A+B), obtains the test depth.
Preferably, described according to all first identifiers and whole second identifiers, calculate the test depth packet
It includes:
According to all first identifiers and whole second identifiers, determine that history time and again exists in road test data
The third for corresponding to sampled point and whole third regions of corresponding sampled point being not present in this road test data identifies；
According to the screening mode of setting, all third marks are screened, the mark after being screened；
The sum of mark after all first identifiers and the screening is determined as A；
The number of mark after the screening is determined as B.
Preferably, the screening mode according to setting screens all third marks, after being screened
Mark includes:
According to all first identifiers and whole second identifiers, determine history time and again road test data and this
There is the 4th mark of whole the fourth regions of corresponding sampled point in road test data；
Each third is identified, judges third mark corresponding region in regional ensemble whether in scatterplot point
Cloth, if it is, identifying the third as one of the mark after the screening, wherein the regional ensemble includes whole institutes
State third mark corresponding region and all the 4th mark corresponding region.
The embodiment of the present invention also provides a kind of statistic device of road test permeability, and the road test permeability passes through
Test depth characterization, the statistic device include:
First obtains module, and for obtaining, in region corresponding to whole sampled points each area in this road test data
The first identifier in domain；
Second obtains module, for obtain history time and again in road test data in region corresponding to whole sampled points it is every
The second identifier in a region；
Computing module, for calculating the test depth according to all first identifiers and whole second identifiers.
Preferably, the first acquisition module includes:
First determination unit, for the first longitude and latitude and longitude and latitude according to sampled points whole in this road test data
Default corresponding relationship between area identification, determines the first identifier；
Described second, which obtains module, includes:
Second determination unit, for the second longitude and latitude and warp according to sampled points whole in history time and again road test data
Default corresponding relationship between latitude and area identification, determines the second identifier.
Preferably, the computing module includes:
Third determination unit, for determining the region that this road test covers according to all first identifiers
First number A；
4th determination unit, for determining history time and again according to all first identifiers and whole second identifiers
There is corresponding sampled point in road test data and the whole third areas for corresponding to sampled point are not present in this road test data
The third in domain identifies；
5th determination unit determines that time and again road test covers and this history for identifying according to all thirds
The second number B in the region that secondary road test is not covered with；
Computing unit obtains the test depth for calculating A/ (A+B).
Preferably, the computing module includes:
6th determination unit, for determining history time and again according to all first identifiers and whole second identifiers
There is corresponding sampled point in road test data and the whole third areas for corresponding to sampled point are not present in this road test data
The third in domain identifies；
Screening unit screens all third marks, after obtaining screening for the screening mode according to setting
Mark；
7th determination unit, for the sum of the mark after all first identifiers and the screening to be determined as A；
8th determination unit, for the number of the mark after the screening to be determined as B.
Preferably, the screening unit includes:
9th determines subelement, for determining that history is tired according to all first identifiers and whole second identifiers
There is the 4th mark of whole the fourth regions of corresponding sampled point in secondary road test data and this road test data；
Judgment sub-unit judges third mark corresponding region in regional ensemble for identifying for each third
In whether in scatterplot be distributed, if it is, by the third identify as one of the mark after the screening, wherein the region
Set includes all the third mark corresponding region and all the 4th mark corresponding region.
The electronics that the embodiment of the present invention also provides a kind of statistic device including above-described road test permeability is set
It is standby.
From the above as can be seen that the embodiment of the present invention at least has the following beneficial effects:
Simply and efficiently road test permeability can be counted and can know which region of this road test is covered
It covers, which region does not cover, so as to accurately measure the careful degree of test.
Detailed description of the invention
Fig. 1 shows a kind of step flow charts of the statistical method of road test permeability provided in an embodiment of the present invention；
Fig. 2 indicates to render figure before the scatterplot of the better embodiment of the embodiment of the present invention is eliminated；
Fig. 3 indicates to render figure after the scatterplot of the better embodiment of the embodiment of the present invention is eliminated；
Fig. 4 indicates the test grid depth calculation flow chart of the better embodiment of the embodiment of the present invention；
Fig. 5 indicates a kind of structural block diagram of the statistic device of road test permeability provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, real below in conjunction with attached drawing and specifically
Example is applied the embodiment of the present invention is described in detail.
Fig. 1 shows a kind of step flow chart of the statistical method of road test permeability provided in an embodiment of the present invention, ginsengs
According to Fig. 1, the embodiment of the present invention provides a kind of statistical method of road test permeability, and the road test permeability passes through test
Depth characterization, the statistical method include the following steps:
Step 101, first of each region in region corresponding to whole sampled points is obtained in this road test data
Mark；
Step 102, obtaining history, time and again in region corresponding to whole sampled points each region in road test data
Second identifier；
Step 103, according to all first identifiers and whole second identifiers, the test depth is calculated.
As it can be seen that the statistical new by above-mentioned road test permeability, can simply and efficiently permeate road test
Rate is counted and can know which region overlay of this road test arrives, which region does not cover, so as to accurately measure
Test careful degree.
Wherein, time and again the corresponding road test number of road test data is more for history, and road test permeability statistics is got over
Accurately.
Region is for example: grid (grid is geographically the fixed square region of a side length).Area identification is for example:
Grid index.Correspondingly, Military Grid referential (MGRS, the Military Grid based on transverse Mercator projection can be used
Reference System) divide grid.
It is each in region corresponding to whole sampled points in described this road test data of acquisition in the embodiment of the present invention
The first identifier in region can include:
According between the first longitude and latitude and longitude and latitude and area identification of sampled points whole in this road test data
Default corresponding relationship, determines the first identifier；
It is described obtain history time and again in road test data in region corresponding to whole sampled points each region second
Mark can include:
According to the second longitude and latitude of sampled points whole in history time and again road test data and longitude and latitude and area identification it
Between default corresponding relationship, determine the second identifier.In addition, described according to all first identifiers and whole described second
Mark, calculates the test depth can include:
The number of all first identifiers is determined as A；
According to all first identifiers and whole second identifiers, determine that history time and again exists in road test data
The third for corresponding to sampled point and whole third regions of corresponding sampled point being not present in this road test data identifies；
The number of all third marks is determined as B；
It calculates A/ (A+B), obtains the test depth.
Alternatively, described according to all first identifiers and whole second identifiers, calculating the test depth can be wrapped
It includes:
According to all first identifiers and whole second identifiers, determine that history time and again exists in road test data
The third for corresponding to sampled point and whole third regions of corresponding sampled point being not present in this road test data identifies；
According to the screening mode of setting, all third marks are screened, the mark after being screened；
The sum of mark after all first identifiers and the screening is determined as A；
The number of mark after the screening is determined as B.
Wherein, the screening mode according to setting screens all third marks, the mark after being screened
Know can include:
According to all first identifiers and whole second identifiers, determine history time and again road test data and this
There is the 4th mark of whole the fourth regions of corresponding sampled point in road test data；
Each third is identified, judges third mark corresponding region in regional ensemble whether in scatterplot point
Cloth, if it is, identifying the third as one of the mark after the screening, wherein the regional ensemble includes whole institutes
State third mark corresponding region and all the 4th mark corresponding region.
In this way, making the statistics of test depth closer to truth.
It is wherein, described to judge whether third mark corresponding region is distributed in regional ensemble in scatterplot can include:
Judgement has in the region of setting relationship with third mark corresponding region with the presence or absence of all the 4th marks
At least one of corresponding region is not distributed if it is present the third identifies corresponding region in regional ensemble in scatterplot；Such as
Fruit is not present, then the third identifies corresponding region and is distributed in regional ensemble in scatterplot；
Wherein, the setting relationship may include adjacent with third mark corresponding region, such as thing is adjacent or north and south phase
It is adjacent.The case where being grid for region, it may also be said to which the setting relationship includes grid corresponding with third mark with same
Side length.
To illustrate to be more clearly understood the embodiment of the present invention, the preferable embodiment party of the embodiment of the present invention is provided below
Formula.
The purpose of this better embodiment is to find a kind of effective statistical method of road test permeability, in the method
It is capable of the statistical test permeability of accurate quick, the statistical result for overcoming existing statistical to be likely to occur is inaccurate, algorithm is multiple
The problem of miscellaneous degree height, low efficiency, and the GIS rendering of road test situation can be intuitively carried out, facilitate technical staff quick
Assignment test permeability deficiency region.
The core algorithm of this better embodiment is how test data carried out grid positioning, then by test zone
Test grid and history test grid compare and correct erroneous judgement grid, obtain test grid depth.As long as historical data foot in this way
Enough abundant, the test depth of statistics also just more can accurately reflect actual validity test amount, while can also be directed to special area
The grid library of (performance issue region) quick test that develops planning, the test of special area is obtained by comparing actual test grid
Fineness.
This better embodiment first has to carry out grid positioning to test data.Existing drive test data is all with sampled point
Unit carries out statistical report, and each sampled point includes complete time, longitude and latitude, signal measurement information, signaling message etc., these
Information is reported as unit of sampled point according to unified format, provides data supporting in this way for grid positioning.
So-called grid is geographically the fixed square region of a side length.This better embodiment, which uses, is based on horizontal axis
The Military Grid referential (MGRS, Military Grid Reference System) of Mercator projection divides grid zone
Domain, and unique identification is carried out to grid by grid index, it can guarantee that grid has region uniqueness, be passed through according to sampled point
Latitude to grid index conversion method, each sampled point can correspond to its ownership grid.It can also be with according to grid index
The regional scope of grid is determined, so as to carry out GIS rendering on MapInfo.
According to above-mentioned grid positioning method, all historical test data latitude and longitude informations in test zone are subjected to grid
Positioning generates history grid index data, then carries out the grid index data of this test and history grid index data pair
Than all test grids (including history grid) are divided into three classes according to grid classifying method: this test grid, this is newly-increased
Grid, this does not test grid, then by the classification of scatterplot elimination algorithm amendment erroneous judgement grid, obtains final three classes grid number
Mesh finally calculates test grid depth according to test grid depth calculation formula, measures drive test by grid test depth
Permeability is tried, and by rendering to three classes grid, obtains the rendering figure layer of test depth.History raster data be increment more
New, the newly-increased grid of test is all used as history grid to save every time, is carried out next time with updated history raster data
The statistics of test, in this way with the gradually accumulation of history raster data, the statistics for testing permeability is also just more accurate.
Grid classifying method: the index of the grid is existed simultaneously in this test grid index table and history grid index table
In, then it is assumed that the grid is this test grid；The index of the grid is present in this test grid index table but in history grid
It is not present in lattice concordance list, then it is assumed that changing grid is this newly-increased grid.The index of the grid is present in history grid index table
In but this test grid index table in be not present, then it is assumed that change grid be do not test grid.
Scatterplot elimination algorithm: it carries out different when the three classes grid obtained after the comparison of history raster data is eliminated without scatterplot
Surely it can really reflect actual test route, than (grid for drawing oblique line indicates this newly-increased grid, and when rendering can as shown in Figure 2
It is shown as blue lattice；Grey lattice indicate this test grid, and when rendering can shown in green lattice；Grid are not tested in the expression of black lattice
Lattice, can shown in red lattice when rendering):
Exist in figure it is excessive do not test scatterplot, but road locating for these scatterplots has been it is believed that after tested, in order to disappear
Except this kind of scatterplot bring statistical discrepancy, scatterplot elimination is carried out after carrying out historical data comparison, by these in scatterplot distribution
Grid is not tested and is repaired is classified as test grid.Eliminate test depth effect picture (the picture oblique line as shown in Figure 3 after scatterplot in the region Fig. 2
Grid indicate this newly-increased grid, when rendering, can be shown as blue lattice；Grey lattice indicate this test grid, and when rendering can show
It is shown as green lattice；Grid is not tested in the expression of black lattice, can shown in red lattice when rendering).
It is as follows to test grid depth calculation formula:
Referring to Fig. 4, specific test grid depth calculation process is as follows:
S1: obtaining this test data and history grid index table T-history, this test data progress grid is determined
Position, the grid index after obtaining positioning, is stored in table T-current.And T-current and T-history are summarized for T-
summary；
S2: traversal T-current, judge grid index whether there is in T-history；
S3: i-th grid index exists in T-history, then marking the grid of the grid index is this test grid
Lattice unison counter Num-test increases 1, and deletes the grid index in T-history；Otherwise same labeled as this newly-increased grid
Hour counter Num-new increases 1；
S4: being that this is not tested, and is stored in T- to grid tag remaining in T-history if having traversed T-current
In notest；Otherwise i=i+1 goes to S2 processing；
S5: traversal T-notest judges whether grid is scatterplot grid；
S6: i-th grid is scatterplot grid, then correcting the grid is that this test grid unison counter Num-test increases
1；Otherwise counter Num-notest increases 1；
S7: judging whether to have traversed T-notest, if do not traversed, i=i+1 goes to S5 processing；If traversal
It is complete, then test grid depth Penetration Rate=(Num-test+Num-new)/(Num-test+ is calculated according to formula
Num-notest+Num-new)。
The great advantage of this better embodiment compared with prior art: it gives and a kind of is weighed with test grid depth
The new statistical method for measuring road test permeability eliminates and counts not accurate enough, algorithm complexity high disposal effect in existing method
The low factor bring of rate influences, and makes to test the statistical result of permeability more intuitively and accurately.This better embodiment is not only
It is analyzed suitable for frequency sweep data permeability, is also applied for the permeability analysis of other kinds drive test data.
Fig. 5 indicates a kind of structural block diagram of the statistic device of road test permeability provided in an embodiment of the present invention, reference
Fig. 5, the embodiment of the present invention also provide a kind of statistic device of road test permeability, and the road test permeability passes through test
Depth characterization, the statistic device include:
First obtains module 501, every in region corresponding to whole sampled points for obtaining in this road test data
The first identifier in a region；
Second obtains module 502, for obtaining history time and again region corresponding to whole sampled points in road test data
In each region second identifier；
Computing module 503, for deep according to all first identifiers and all second identifier, the calculating test
Degree.
As it can be seen that the statistical new by above-mentioned road test permeability, can simply and efficiently permeate road test
Rate is counted and can know which region overlay of this road test arrives, which region does not cover, so as to accurately measure
Test careful degree.
In the embodiment of the present invention, described first obtains module can include:
First determination unit, for the first longitude and latitude and longitude and latitude according to sampled points whole in this road test data
Default corresponding relationship between area identification, determines the first identifier；
Described second, which obtains module, includes:
Second determination unit, for the second longitude and latitude and warp according to sampled points whole in history time and again road test data
Default corresponding relationship between latitude and area identification, determines the second identifier.
In the embodiment of the present invention, the computing module can include:
Third determination unit, for determining the region that this road test covers according to all first identifiers
First number A；
4th determination unit, for determining history time and again according to all first identifiers and whole second identifiers
There is corresponding sampled point in road test data and the whole third areas for corresponding to sampled point are not present in this road test data
The third in domain identifies；
5th determination unit determines that time and again road test covers and this history for identifying according to all thirds
The second number B in the region that secondary road test is not covered with；
Computing unit obtains the test depth for calculating A/ (A+B).
Wherein, the computing module can include:
6th determination unit, for determining history time and again according to all first identifiers and whole second identifiers
There is corresponding sampled point in road test data and the whole third areas for corresponding to sampled point are not present in this road test data
The third in domain identifies；
Screening unit screens all third marks, after obtaining screening for the screening mode according to setting
Mark；
7th determination unit, for the sum of the mark after all first identifiers and the screening to be determined as A；
8th determination unit, for the number of the mark after the screening to be determined as B.
Wherein, the screening unit can include:
9th determines subelement, for determining that history is tired according to all first identifiers and whole second identifiers
There is the 4th mark of whole the fourth regions of corresponding sampled point in secondary road test data and this road test data；
Judgment sub-unit judges third mark corresponding region in regional ensemble for identifying for each third
In whether in scatterplot be distributed, if it is, by the third identify as one of the mark after the screening, wherein the region
Set includes all the third mark corresponding region and all the 4th mark corresponding region.
The embodiment of the present invention also provides a kind of electronic equipment, and the electronic equipment includes above-described road test infiltration
The statistic device of rate.
Claims (5)
1. a kind of statistical method of road test permeability, which is characterized in that the road test permeability passes through test depth
Characterization, the statistical method include:
Obtain the first identifier in each region in region corresponding to whole sampled points in this road test data；
Obtain history time and again in road test data in region corresponding to whole sampled points each region second identifier；
According to all first identifiers and whole second identifiers, the test depth is calculated；
It is described according to all first identifiers and whole second identifiers, calculating the test depth includes:
According to all first identifiers and whole second identifiers, determines that history time and again exists in road test data and correspond to
Sampled point and there is no the third in whole third regions of corresponding sampled point marks in this road test data；
According to the screening mode of setting, all third marks are screened, the mark after being screened；
The sum of mark after all first identifiers and the screening is determined as A；
The number of mark after the screening is determined as B；
The screening mode according to setting screens all third marks, and the mark after being screened includes:
According to all first identifiers and whole second identifiers, history time and again road test data and this road are determined
There is the 4th mark of whole the fourth regions of corresponding sampled point in test data；
Each third is identified, judges whether third mark corresponding region is distributed in regional ensemble in scatterplot, such as
Fruit is then to identify the third as one of the mark after the screening, wherein the regional ensemble includes whole thirds
Identify corresponding region and all the 4th mark corresponding region.
2. statistical method according to claim 1, which is characterized in that all adopted in described this road test data of acquisition
The first identifier in each region includes: in region corresponding to sampling point
According to default between the first longitude and latitude and longitude and latitude and area identification of sampled points whole in this road test data
Corresponding relationship determines the first identifier；
It is described obtain history time and again in road test data in region corresponding to whole sampled points each region second identifier
Include:
According between the second longitude and latitude and longitude and latitude and area identification of sampled points whole in history time and again road test data
Default corresponding relationship, determines the second identifier.
3. a kind of statistic device of road test permeability, which is characterized in that the road test permeability passes through test depth
Characterization, the statistic device include:
First obtains module, and for obtaining, in region corresponding to whole sampled points each region in this road test data
First identifier；
Second obtains module, and for obtaining history, time and again in region corresponding to whole sampled points each area in road test data
The second identifier in domain；
Computing module, for calculating the test depth according to all first identifiers and whole second identifiers；
The computing module includes:
6th determination unit, for determining history time and again road according to all first identifiers and whole second identifiers
There is corresponding sampled point in test data and the whole third regions for corresponding to sampled point are not present in this road test data
Third mark；
Screening unit screens all third marks, the mark after being screened for the screening mode according to setting
Know；
7th determination unit, for the sum of the mark after all first identifiers and the screening to be determined as A；
8th determination unit, for the number of the mark after the screening to be determined as B；
The screening unit includes:
9th determines subelement, for determining history time and again road according to all first identifiers and whole second identifiers
There is the 4th mark of whole the fourth regions of corresponding sampled point in road test data and this road test data；
Judgment sub-unit judges that third mark corresponding region is in regional ensemble for identifying for each third
It is no to be distributed in scatterplot, if it is, identifying the third as one of the mark after the screening, wherein the regional ensemble
Including all the third mark corresponding region and all the 4th mark corresponding region.
4. statistic device according to claim 3, which is characterized in that described first, which obtains module, includes:
First determination unit, for according to the first longitude and latitude and longitude and latitude of sampled points whole in this road test data and area
Default corresponding relationship between domain identifier, determines the first identifier；
Described second, which obtains module, includes:
Second determination unit, for the second longitude and latitude and longitude and latitude according to sampled points whole in history time and again road test data
Default corresponding relationship between area identification, determines the second identifier.
5. a kind of electronic equipment, which is characterized in that including the road drive test as described in any one of claim 3 to 4 claim
Try the statistic device of permeability.
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| CN1941985A (en) * | 2005-09-27 | 2007-04-04 | 北京日讯在线科技有限公司 | System and method for analyzing measuring wireless network data based on knowledge deduction |
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