CN109840452A - A kind of grid covering scene automatic identifying method and device - Google Patents
A kind of grid covering scene automatic identifying method and device Download PDFInfo
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Abstract
The embodiment of the present invention provides a kind of grid covering scene automatic identifying method and device.The method includes obtaining POI point set, wherein each POI point includes at least longitude and latitude, scene type and priority corresponding with the scene type；According to the longitude and latitude, each POI point is belonged into a grid on map, wherein the grid is the region divided on map according to preset rules；According to the priority, determine the home court scape type of each grid, wherein the home court scape type is the scene type of the POI point of highest priority described in the grid, the embodiment of the present invention, by introducing POI point in conjunction with the scene type of preset standardization covering scene list, so as to so quicker, accurate and accurate that obtain the home court scape type of the grid divided in advance on map.
Description
Technical field
The present embodiments relate to communication technique field more particularly to a kind of grid covering scene automatic identifying methods and dress
It sets.
Background technique
In wireless network planning, the actual landform landforms, building feature, traffic people according to problem area are generally required
The scene properties such as stream select different sites, site type to carry out Bus stop planning.With business development and e-learning quality, 4G network
In there are the forms such as continuous coating, depth coating, capacity layer, so scene characteristic is identified it is more accurate, then can be from macro
Stand, micro- station, skin station, fly station etc. selection the highest programme of matching degree landed.Meanwhile thematic depth coverage optimization also needs
Accurately scene map is supported, such as the assessment optimization of colleges and universities' field capacity, residential block depth coverage optimization, scenic spot network
Premise, that is, scene Recognition of increased quality.
Network coverage is divided into etc. the square net of side lengths, obtained from electronic map by existing scene Recognition technology
It obtains topography and geomorphology figure layer to be superimposed with grid, the geographical attribute of geographic elements and thematic attribute is projected in grid, are then based on
Mesh space cluster.For area feature, according to geographical location, network's coverage area is divided into different scenes by geographical feature:
The automatic identification of geographic scenes is realized in high-rise, mid-rise building, low-rise building, greenery patches, waters.For linearly
Object and punctual geo-objects, high-speed railway, major urban arterial highway, hospital, gymnasium project to geography information in corresponding grid, assign
Grid terrain object attribute.Each grid i.e. geographic area unit, finally obtains scene properties possessed by all grids.
The prior art mainly obtains topography and geomorphology figure layer by electronic map and is superimposed with grid, passes through Spatial Clustering
It is clustered, obtains point scene, field of line scape, the face scene of grid, provide decision support for Configuration network parameter.This method identification
Scene type out is fewer, and accuracy is low, finely plans that reference significance has certain limitation to mobile site, site type.
Summary of the invention
The embodiment of the present invention provides a kind of grid covering scene automatic identifying method and device, to solve in the prior art
Problem less for scene Recognition type, not reasonable and low accuracy.
In a first aspect, the embodiment of the invention provides a kind of grid covering scene automatic identifying methods, comprising:
POI point set is obtained, wherein each POI point includes at least longitude and latitude, scene type and opposite with the scene type
The priority answered；
According to the longitude and latitude, each POI point is belonged into a grid on map, wherein the grid is on map
The region divided according to preset rules；
According to the priority, the home court scape type of each grid is determined, wherein the home court scape type is the grid
Described in highest priority POI point scene type.
Second aspect, the embodiment of the invention provides a kind of grid covering scene automatic identification equipments, comprising:
Acquiring unit, for obtaining POI point set, wherein each POI point include at least longitude and latitude, scene type and with it is described
The corresponding priority of scene type；
Allocation unit, for each POI point being belonged to a grid on map, wherein institute according to the longitude and latitude
Stating grid is the region divided on map according to preset rules；
Selecting unit, for the home court scape type of each grid being determined, wherein the home court scape class according to the priority
Type is the scene type of the POI point of highest priority described in the grid.
The third aspect, the embodiment of the invention also provides a kind of electronic equipment, comprising:
Processor, memory, communication interface and bus；Wherein,
The processor, memory, communication interface complete mutual communication by the bus；
The communication interface is for the information transmission between the communication equipment of the electronic equipment；
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to refer to
Order is able to carry out following method:
POI point set is obtained, wherein each POI point includes at least longitude and latitude, scene type and opposite with the scene type
The priority answered；
According to the longitude and latitude, each POI point is belonged into a grid on map, wherein the grid is on map
The region divided according to preset rules；
According to the priority, the home court scape type of each grid is determined, wherein the home court scape type is the grid
Described in highest priority POI point scene type.
Fourth aspect, the embodiment of the invention also provides a kind of computer program, including program code, said program codes
For performing the following operations:
The processor is used to call the logical order in the memory, to execute following method:
POI point set is obtained, wherein each POI point includes at least longitude and latitude, scene type and opposite with the scene type
The priority answered；
According to the longitude and latitude, each POI point is belonged into a grid on map, wherein the grid is on map
The region divided according to preset rules；
According to the priority, the home court scape type of each grid is determined, wherein the home court scape type is the grid
Described in highest priority POI point scene type.
5th aspect, the embodiment of the invention also provides a kind of storage mediums, for storing foregoing computer journey
Sequence.
Grid covering scene automatic identifying method and device provided in an embodiment of the present invention, by introduce POI point in conjunction with
The scene type of preset standardization covering scene list, so as to so quicker, accurate and accurate that obtain on map in advance
The home court scape type of the grid first divided.
Detailed description of the invention
Fig. 1 is the grid covering scene automatic identifying method flow chart of the embodiment of the present invention；
Fig. 2 is another grid covering scene automatic identifying method flow chart of the embodiment of the present invention；
Fig. 3 is the another grid covering scene automatic identifying method flow chart of the embodiment of the present invention；
Fig. 4 is the grid covering scene automatic identification equipment structural schematic diagram of the embodiment of the present invention；
Fig. 5 is another grid covering scene automatic identification equipment structural schematic diagram of the embodiment of the present invention；
Fig. 6 is the electronic devices structure schematic diagram of the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is the grid covering scene automatic identifying method flow chart of the embodiment of the present invention, as shown in Figure 1, the method
Include:
Step S01, obtain POI point set, wherein each POI point include at least longitude and latitude, scene type and with the scene
The corresponding priority of type.
Currently, all kinds of Online Map information points (Point of Information, POI) have been widely used in the day of people
Often in life, such as digital map navigation, drop drop call a taxi, take out.In GIS-Geographic Information System (GIS), a POI can be a room
Son, a retail shop, a mailbox, a bus station etc..
In the present embodiment, a large amount of POI point is first obtained, wherein each POI point, which includes at least, longitude and latitude and scene class
Type and the corresponding priority of the scene type.Wherein the scene type be classified as certain region topography and geomorphology,
Building feature, Cover Characteristics, traffic model etc. formulate 4G network standardization covering scene, such as shown in following table:
Upper table will standardize covering scene and be divided into 23 scene types, and with corresponding priority and push away to each type
Recommend device type.The mode classification of the table is only a kind of citing, in specific practical operation, according to different zones and can be answered
Scene type is divided with scene, is not especially limited herein, but in order to express easily, in the following embodiments,
All or more it is illustrated for scene type described in table.
Step S02, according to the longitude and latitude, each POI point is belonged into a grid on map, wherein the grid
For the region divided on map according to preset rules.
It is multiple grids not overlapped by map partitioning previously according to default rule on map, wherein described
Preset rules have very much, for example, by map road and the modes such as cell boarder carry out region division etc..
Optionally, described according to the longitude and latitude, each POI point is belonged into a grid on map, wherein described
Grid is the region divided on map according to preset rules, specifically:
According to preset lattice dimensions size by map partitioning be at least one grid；
According to the longitude and latitude of the POI point, each POI point is belonged to a grid on map.
For grid division when preset rules can be a preset fixed-grid size, for example, 50m*50m
Square or regular hexagon etc..By map in the range that can be determined on map according to the fixed-grid size
It is divided into a large amount of grid, so that it is determined that coverage area of each grid on map.Then according to the longitude and latitude of each POI point
Degree, belongs to the grid for the POI point in each grid coverage area.
It can specifically use Oracle function: SDO_RELATE (t.complain_spoint, a.geom, ' mask=
ANYINTERACT')=' TRUE'；Wherein ANYINTERACT: indicate that a POI point (t.complain_spoint) falls in separately
In one grid (a.geom) coverage area.Each POI point can be belonged to by the traversal to each POI point and grid
Into one of grid.
Step S03, according to the priority, the home court scape type of each grid is determined, wherein the home court scape type is
The scene type of the POI point of highest priority described in the grid.
It is operated by above-mentioned ownership, includes a certain number of POI points in each grid, and each POI point wraps
Containing the scene type of itself, and priority corresponding with scene type.Pass through the ratio to each scene type priority
Compared with the POI point of available highest priority, the scene type for including using the POI point is as the home court scape type of the grid.Such as
The POI point more than one of fruit highest priority, shown in standardization covering scene table as above, the priority of different scene types
Also different, so, it can also equally determine unique home court scape type of the grid.
It certainly, can also be synchronous to consider different scenes class in grid while considering priority in actual application
The quantity of the POI point of type, using the most scene type of quantity as the home court scape type of the grid.Select the side of home court scape type
Formula can be converted or be set according to actual scene, be not limited thereto there are also very much, but in order to express easily below
Embodiment in all only be illustrated by unique reference of priority.
The embodiment of the present invention, by introduce POI point in conjunction with it is preset standardization covering scene list scene type, from
And can be quicker, accurate and accurate obtain the home court scape type of the grid divided in advance on map.
Fig. 2 is another grid covering scene automatic identifying method flow chart of the embodiment of the present invention, as shown in Fig. 2, in institute
State after step S03 the method also includes:
Step S04, according to the longitude and latitude of the central point of the grid, the identical adjacent cells of the home court scape type are returned
For same grid cluster, wherein the adjacent cells are the central point distance of two grids in pre-determined distance threshold range.
After dividing a considerable amount of grids on map by preset rules, the center position of each grid can also be with
It is calculated by geometric figure, and obtains the longitude and latitude of each grid central point.The identical grid of home court scape type is extracted,
And according to central point longitude and latitude xi, yi and xj, the yj of any two of them grid i and j, calculate distance Dij, then again with it is default
Distance threshold N, such as 50m, be compared, if Dij≤N, it may be considered that grid i and j are adjacent cells, and be classified as same
Grid cluster.Specific calculating process is exemplified below:
1, central point distance calculates: Dij=R*arccos (sinyisinyj+cosyicosyjcos (xi-
Xj)), wherein the R is earth radius, mean value 6370km；
2, two grid neighbors: Dij≤N；
3, scene properties the same terms: Ti=Tj, wherein Ti and Tj is respectively the home court scape type of grid i and j；
4, grid i and j can be polymerized to same scene grid cluster if meeting condition 2,3 simultaneously.
In actual application process, adjacent gate can also be determined by the adjacent mode of two faceted boundaries on map
Lattice are without specifically being calculated.
In addition, being all often to be divided using road as boundary in construction of buildings due in real life
, for example, building different residence districts respectively on the both sides of a road.So when grid is polymerized to grid cluster, also
Need to consider the road conditions on map.Namely each grid cluster cannot be across the both sides of a road.This just needs inciting somebody to action
Before grid is polymerized to grid cluster, map is first divided into different communities by road, community's mark is then added to grid
In lattice.It is exactly that two grids will belong to also need to be added a condition in the calculating process that grid is polymerized to grid cluster
In identical community.And for including the grid of more than one community in those coverage areas, then it can be by mutual
Area coverage size is belonged to.
By it is above-mentioned for the division of grid and grid cluster after, so that it may the grid that is identified on map and
Grid cluster, such as: scene Recognition is carried out to one class two zone domain of Hangzhou, other 78085 grids of knowing together, ranking first three be that resident is small
Area, office building and school.
The embodiment of the present invention, in such a way that the grid of identical home court scape type is polymerized to grid cluster, so as to more
Adduction is managed, is so accurate that obtain the practical coverage area of each home court scape type.
Fig. 3 is the another grid covering scene automatic identifying method flow chart of the embodiment of the present invention, as shown in figure 3, described
Step S01, specifically:
Step S011, the scene mapping table for obtaining original POI point set and prestoring, wherein each original POI point is at least
Including the longitude and latitude and POI type, the scene mapping table includes at least the scene type of preset kind quantity, the scene
The corresponding priority of type and the corresponding POI type of the scene type；
POI point set as described above is obtained, first Online Map producer or other approach is needed to obtain original POI point
Collection, wherein each original POI point mainly includes three aspect information: title, POI type, longitude and latitude.The wherein POI type
For the classification, including level-one class A, second level class B, three-level class C etc. of progress for ease of use of POI point, each classification has phase
The industry code and title answered.The POI type of i.e. each POI point i is the combination of AiBiCi.
Since POI type excessively numerous and complicated is not suitable for directly using, so the mobile words of the scene of handy each POI type
Business feature, such as indoor/outdoor, user behavior and service feature (such as flow of personnel, portfolio), building space feature (cross
Section and height) and characteristic distributions (such as layout of building group, spacing), fabric structure (indoor scene), building purposes attribute
Deng, be formulated to shown in above-described embodiment and standardize covering scene table, it is general divide scene type should not be excessive, by similar POI
Type convergence is classified as the scene type in standardization covering scene, and forms corresponding mapping table.
Step S012, in each original POI point, corresponding POI type is replaced with the scene type, and institute is added
Priority is stated, to obtain the POI point.
According to mapping table, the POI type in each original POI point is replaced with scene type corresponding thereto
It changes, and priority corresponding with the scene type is added in original POI point according to standard covering scene table, to obtain
The POI point.Including at least in POI point at this time has title, longitude and latitude, scene type and priority.
The embodiment of the present invention, which passes through, obtains original POI point set, and according to the mobile traffic of each POI type application scene spy
Sign formulate standardization covering scene table and and mapping table corresponding with POI type, and then convert field for POI type
Scape type, so as to so more reasonable, quick that handle POI point.
Based on the above embodiment, further, the method also includes:
The communication data of each grid is obtained within the scope of preset time threshold；
Count the communication data of each grid cluster；
According to preset weight ratio, the weight integral of each grid cluster is obtained；
It is integrated according to the weight, grade sequence is carried out to each grid cluster.
It is available in certain predetermined time threshold range, such as one week or one month by the database on backstage, it is interior complete
The communication data of grid lattice, such as: the multidimensional datas such as grid telephone traffic, grid flow, grid number of users, tidal effect feature.
By the average communication data for calculating available each grid.
Then the grid cluster according to obtained in above-described embodiment is counted to obtain grid to communication data in each grid cluster
Lattice cluster communication data.
Further according to preset weight ratio, the communication data of average communication data and grid cluster obtains the power of each grid cluster
Multiple integral.The calculation method of obtaining value method for weight and weight integral can there are many kinds of, also only give herein following
A kind of mode illustrates.
Further, the weight ratio according to preset each data value obtains the weight integral of each grid cluster；Tool
Body are as follows:
The weight integral Yi of the grid cluster i is calculated according to the following formula:
The wherein Ti1,Ti2,…,TimThe m kind data value that communication data for the grid cluster i includes, the T1′,
T2′,…,Tm' it is average value of the m kind data value in each grid, the W1,W2,…,WmFor the power of preset each data value
Compare again.
Acquisition communication data can there are many kinds of, such as: grid telephone traffic T1, grid flow T2, grid number of users
T3, tidal effect feature T4Deng m kind data value altogether, counts the communication data of all grids and obtained often divided by grid sum
The average value T ' of a data value1,T′2,…,T′m.It is folded simultaneously according to by the communication data of all grids in same grid cluster i
Add, obtains the communication data T of grid cluster ii1,Ti2,…,Tim.Then further according to the importance of each data value, respectively preset with
The corresponding weight ratio W of each data value1,W2,…,Wm, so that it may pass through following formula:
Obtain the weight integral Y of grid cluster ii。
By the integral Y of all grid clusters1,Y2,…,YnIt is compared, the integral of each grid cluster is carried out from high to low
Sequence to obtain the priority of each grid cluster on this map, and then plans that site, site type are selected as one for the later period
A priority reference.
Communication data and preset weight ratio of the embodiment of the present invention by each grid of acquisition, to calculate each grid
The weight of lattice cluster integrates, thus so quicker, accurate that have obtained the priority of the grid cluster on map.
Fig. 4 is the grid covering scene automatic identification equipment structural schematic diagram of the embodiment of the present invention, as shown in figure 4, described
Device includes: acquiring unit 10, allocation unit 11 and selecting unit 12, in which:
The acquiring unit 10 for obtaining POI point set, wherein each POI point include at least longitude and latitude, scene type and
Priority corresponding with the scene type；The allocation unit 11 is used to be belonged to each POI point according to the longitude and latitude
In a grid on map, wherein the grid is the region divided on map according to preset rules；The selecting unit 12
For determining the home court scape type of each grid according to the priority, wherein the home court scape type is institute in the grid
State the scene type of the POI point of highest priority.Specifically:
The acquiring unit 10 first obtains a large amount of POI point and is sent to the allocation unit 11, wherein each POI point is extremely
It less include longitude and latitude and scene type and the corresponding priority of the scene type.Wherein point of the scene type
Class is to formulate 4G network standardization for certain region topography and geomorphology, building feature, Cover Characteristics, traffic model etc. to cover field
Scape.
Map partitioning, previously according to default rule, is multiple grid not overlapped on map by the allocation unit 11
Lattice, wherein the preset rules have very much, for example, by map road and the modes such as cell boarder carry out region division
Deng.
Optionally, described according to the longitude and latitude, each POI point is belonged into a grid on map, wherein described
Grid is the region divided on map according to preset rules, specifically:
According to preset lattice dimensions size by map partitioning be at least one grid；
According to the longitude and latitude of the POI point, each POI point is belonged to a grid on map.
For grid division when preset rules can be a preset fixed-grid size, for example, 50m*50m
Square or regular hexagon etc..By map in the range that can be determined on map according to the fixed-grid size
It is divided into a large amount of grid, so that it is determined that coverage area of each grid on map.Then according to the longitude and latitude of each POI point
Degree, belongs to the grid for the POI point in each grid coverage area.
It can specifically use Oracle function: SDO_RELATE (t.complain_spoint, a.geom, ' mask=
ANYINTERACT')=' TRUE'；Wherein ANYINTERACT: indicate that a POI point (t.complain_spoint) falls in separately
In one grid (a.geom) coverage area.Each POI point can be belonged to by the traversal to each POI point and grid
Into one of grid.The allocation unit 11 by each grid, and it includes POI point to be sent to the selection single
Member 12.
It is operated by above-mentioned ownership, includes a certain number of POI points in each grid, and each POI point wraps
Containing the scene type of itself, and priority corresponding with scene type.The selecting unit 12 passes through to each scene
The comparison of type priority grade, the POI point of available highest priority, the scene type for including using the POI point is as the grid
Home court scape type.If the POI point more than one of highest priority, different shown in standardization covering scene table as above
The priority of scene type is also different, so, it can also equally determine unique home court scape type of the grid.
Device provided in an embodiment of the present invention for executing the above method, function with specific reference to above method embodiment,
Its specific method process repeats no more here.
The embodiment of the present invention, by introduce POI point in conjunction with it is preset standardization covering scene list scene type, from
And can be quicker, accurate and accurate obtain the home court scape type of the grid divided in advance on map.
Fig. 5 is another grid covering scene automatic identification equipment structural schematic diagram of the embodiment of the present invention, as shown in figure 5,
Described device includes: acquiring unit 10, allocation unit 11, selecting unit 12 and polymerized unit 13, wherein
The polymerized unit 13 is used for the longitude and latitude of the central point according to the grid, and the home court scape type is identical
Adjacent cells are classified as same grid cluster, wherein the adjacent cells are the central point distance of two grids in pre-determined distance threshold value model
In enclosing.
The home court scape type that grid and each grid are divided on map can be sent to institute in the allocation unit 12
State polymerized unit 13.The central point longitude and latitude that the polymerized unit 13 can calculate each grid by geometric figure obtains.It mentions
Take out the identical grid of home court scape type, and according to central point longitude and latitude xi, yi and xj of any two of them grid i and j,
Yj calculates distance Dij, is then compared again with preset distance threshold N, such as 50m, if Dij≤N, it may be considered that grid
Lattice i and j are adjacent cells, and are classified as same grid cluster.Specific calculating process is exemplified below:
1, central point distance calculates: Dij=R*arccos (sinyisinyj+cosyicosyjcos (xi-
Xj)), wherein the R is earth radius, mean value 6370km；
2, two grid neighbors: Dij≤N；
3, scene properties the same terms: Ti=Tj, wherein Ti and Tj is respectively the home court scape type of grid i and j；
4, grid i and j can be polymerized to same scene grid cluster if meeting condition 2,3 simultaneously.
In actual application process, adjacent gate can also be determined by the adjacent mode of two faceted boundaries on map
Lattice are without specifically being calculated.
In addition, being all often to be divided using road as boundary in construction of buildings due in real life
, for example, building different residence districts respectively on the both sides of a road.So when grid is polymerized to grid cluster, also
Need to consider the road conditions on map.Namely each grid cluster cannot be across the both sides of a road.This just needs inciting somebody to action
Before grid is polymerized to grid cluster, map is first divided into different communities by road, community's mark is then added to grid
In lattice.It is exactly that two grids will belong to also need to be added a condition in the calculating process that grid is polymerized to grid cluster
In identical community.And for including the grid of more than one community in those coverage areas, then it can be by mutual
Area coverage size is belonged to.
Device provided in an embodiment of the present invention for executing the above method, function with specific reference to above method embodiment,
Its specific method process repeats no more here.
The embodiment of the present invention, in such a way that the grid of identical home court scape type is polymerized to grid cluster, so as to more
Adduction is managed, is so accurate that obtain the practical coverage area of each home court scape type.
Fig. 6 is the electronic devices structure schematic diagram of the embodiment of the present invention.As shown in fig. 6, the electronic equipment, comprising: place
Manage device (processor) 601, memory (memory) 602 and bus 603；
Wherein, the processor 601 and the memory 602 complete mutual communication by the bus 603；
The processor 601 is used to call the program instruction in the memory 602, to execute above-mentioned each method embodiment
Provided method, for example, obtain POI point set, wherein each POI point include at least longitude and latitude, scene type and with institute
State the corresponding priority of scene type；According to the longitude and latitude, each POI point is belonged into a grid on map,
Described in grid be map on according to preset rules divide region；According to the priority, the home court scape of each grid is determined
Type, wherein the home court scape type is the scene type of the POI point of highest priority described in the grid.
Further, the embodiment of the present invention discloses a kind of computer program product, and the computer program product includes depositing
The computer program in non-transient computer readable storage medium is stored up, the computer program includes program instruction, when described
When program instruction is computer-executed, computer is able to carry out method provided by above-mentioned each method embodiment, for example, obtains
POI point set is taken, wherein each POI point includes at least longitude and latitude, scene type and priority corresponding with the scene type；
According to the longitude and latitude, each POI point is belonged into a grid on map, wherein the grid is on map according to default
The region of regular partition；According to the priority, the home court scape type of each grid is determined, wherein the home court scape type is institute
State the scene type of the POI point of highest priority described in grid.
Further, the embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient calculating
Machine readable storage medium storing program for executing stores computer instruction, and the computer instruction makes the computer execute above-mentioned each method embodiment institute
The method of offer, for example, obtain POI point set, wherein each POI point include at least longitude and latitude, scene type and with it is described
The corresponding priority of scene type；According to the longitude and latitude, each POI point is belonged into a grid on map, wherein
The grid is the region divided on map according to preset rules；According to the priority, the home court scape class of each grid is determined
Type, wherein the home court scape type is the scene type of the POI point of highest priority described in the grid.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light
The various media that can store program code such as disk.
The embodiments such as electronic equipment described above are only schematical, wherein it is described as illustrated by the separation member
Unit may or may not be physically separated, and component shown as a unit may or may not be object
Manage unit, it can it is in one place, or may be distributed over multiple network units.It can select according to the actual needs
Some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying wound
In the case where the labour for the property made, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of grid covering scene automatic identifying method characterized by comprising
POI point set is obtained, wherein each POI point includes at least longitude and latitude, scene type and corresponding with the scene type
Priority；
According to the longitude and latitude, each POI point is belonged into a grid on map, wherein the grid is basis on map
The region that preset rules divide；
According to the priority, the home court scape type of each grid is determined, wherein the home court scape type is institute in the grid
State the scene type of the POI point of highest priority.
2. the method according to claim 1, wherein the method also includes:
According to the longitude and latitude of the central point of the grid, the identical adjacent cells of the home court scape type are classified as same grid
Cluster, wherein the adjacent cells are the central point distance of two grids in pre-determined distance threshold range.
3. the method according to claim 1, wherein the acquisition POI point set, wherein each POI point at least wraps
Longitude and latitude, scene type and priority corresponding with the scene type are included, specifically:
The scene mapping table for obtaining original POI point set and prestoring, wherein each original POI point includes at least the longitude and latitude
With POI type, the scene mapping table includes at least the scene type of preset kind quantity, and the scene type is corresponding excellent
First grade and the corresponding POI type of the scene type；
In each original POI point, corresponding POI type is replaced with the scene type, and the priority is added, thus
Obtain the POI point.
4. each POI point is belonged to the method according to claim 1, wherein described according to the longitude and latitude
A grid on map, wherein the grid is the region divided on map according to preset rules, specifically:
According to preset lattice dimensions size by map partitioning be at least one grid；
According to the longitude and latitude of the POI point, each POI point is belonged to a grid on map.
5. according to the method described in claim 2, it is characterized in that, the method also includes:
The communication data of each grid is obtained within the scope of preset time threshold；
Count the communication data of each grid cluster；
According to preset weight ratio, the weight integral of each grid cluster is obtained；
It is integrated according to the weight, grade sequence is carried out to each grid cluster.
6. according to the method described in claim 5, it is characterized in that, the weight ratio according to preset each data value, is obtained
The weight of each grid cluster is taken to integrate；Specifically:
The weight integral Yi of the grid cluster i is calculated according to the following formula:
The wherein T1,T2,…,TmThe m kind data value that communication data for the grid cluster i includes, the T1′,T2′,…,
T′mFor average value of the m kind data value in each grid, the W1,W2,…,WmFor the weight ratio of preset each data value.
7. a kind of grid covering scene automatic identification equipment characterized by comprising
Acquiring unit, for obtaining POI point set, wherein each POI point include at least longitude and latitude, scene type and with the scene
The corresponding priority of type；
Allocation unit, for each POI point being belonged to a grid on map, wherein the grid according to the longitude and latitude
Lattice are the region divided on map according to preset rules；
Selecting unit, for the home court scape type of each grid being determined, wherein the home court scape type is according to the priority
The scene type of the POI point of highest priority described in the grid.
8. device according to claim 7, which is characterized in that described device further include:
Polymerized unit, for the longitude and latitude according to the central point of the grid, by the identical adjacent cells of the home court scape type
It is classified as same grid cluster, wherein the adjacent cells are the central point distance of two grids in pre-determined distance threshold range.
9. a kind of electronic equipment, which is characterized in that including memory and processor, the processor and the memory pass through always
Line completes mutual communication；The memory is stored with the program instruction that can be executed by the processor, the processor tune
The method as described in claim 1 to 6 is any is able to carry out with described program instruction.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The method as described in claim 1 to 6 is any is realized when processor executes.
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