CN109691162A - A kind of network site method and device for planning - Google Patents

Abstract

A kind of network site device for planning and method, device for planning obtain the characteristic information (101) of target construction；Device for planning determines target construction corresponding target scene classification (102) in preset system according to the characteristic information, it include at least two scene types in the preset system, and the corresponding scene information of each scene type and site type selection scheme, the scene information it is corresponding with the characteristic information；Device for planning determines the corresponding target site type selection scheme (103) of target construction according to target scene classification.

Description

A kind of network site method and device for planning Technical field

The present invention relates to the communications field more particularly to a kind of network site method and device for planning.

Background technique

As the dependence to electronic product is also deeper and deeper, requirement of the user for network is also higher and higher, therefore an important factor for network coverage problem and experience problem are at influence user's quality of life, the planning of network site is then one of the principal element for influencing the network coverage, reasonable planning network site can be improved the network coverage, to improve the quality of life of user.

In the prior art, the object of planning is generally based on for the planning of site and carries out network presence analysis, find the region GAP with object matching, then pre- site planning is carried out, judge whether to reach the object of planning by planning simulation, optimized if discontented foot-eye by site, or return and re-start site planning, until reaching the object of planning.

But site planing method in the prior art, which is based only on target, carries out integrated planning to problem area, not in view of the scene where building, this may can make the interior of building network coverage under certain scenes bad, very influence user experience.

Summary of the invention

The embodiment of the invention provides a kind of network site method and device for planning, can solve the weak problem of the network coverage in building, promote user experience.

In view of this, first aspect present invention provides a kind of network site planing method, comprising:

When device for planning carries out the planning of network site, the characteristic information of target construction is obtained first, target construction corresponding target scene classification in preset system is determined further according to this feature information, and the corresponding target site type selection scheme of target construction is finally determined according to target scene classification.Wherein, target construction refers to the detached building that device for planning is identified in specified region by certain way, comprising at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system, wherein scene information is corresponding with characteristic information.These information in preset system are what user or system carried out scene classification to building in advance, and classification information input is arranged.

The characteristic information of the available target construction of device for planning in the embodiment of the present invention, according to characteristic information Determine target construction corresponding target scene classification in preset system, the corresponding target site type selection scheme of target construction is determined according to target scene classification, wherein, at least two scene types and the corresponding scene information of each scene type and site type selection scheme are included in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after device gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

In conjunction with the embodiment of the present invention in a first aspect, in the first possible implementation, the characteristic information that device for planning obtains target construction includes:

Device for planning identifies target construction according to three-dimensional map information, calculates the characteristic information of target construction.Wherein, three-dimensional map refers to that independent each building can be extracted from map, and obtains or calculate the map of the information such as each depth of building, area, shape, building spacing, atural object, place name.

The embodiment of the invention provides the concrete modes that a kind of device for planning obtains the characteristic information of target construction, improve the realizability of scheme.

In conjunction with the first possible implementation of the first aspect of the embodiment of the present invention, in the second possible implementation, characteristic information includes information from objective pattern.

In conjunction with second of possible implementation of the first aspect of the embodiment of the present invention, in the third possible implementation, device for planning determines that target construction process of corresponding target scene classification in preset system includes: according to characteristic information

Device for planning matches the information from objective pattern of target construction scene information corresponding with each scene type, obtain the corresponding matching degree value of each scene type, that is the first matching degree value, after obtaining the first matching degree value, the maximum value matching value in the first matching degree value is determined again, then using the corresponding scene type of maximum value matching value as target scene classification.

When the embodiment of the invention provides a kind of characteristic information including information from objective pattern, device for planning determines the concrete mode of target scene classification, improves the realizability of scheme.

In conjunction with second of possible implementation of the first aspect of the embodiment of the present invention, in the fourth possible implementation, three-dimensional map information includes above ground structure high-level model, and accordingly, device for planning may include: according to the process of three-dimensional map information identification target construction

Device for planning first determines target area corresponding target grid in above ground structure high-level model, then really It sets the goal and is highly greater than the grid of the first preset thresholding in grid, i.e., effective grid after determining effective grid, then determines the continuous grid of multiple groups in effective grid, and each group of continuous grid is determined as a target construction.

It should be noted that if the adjacent cells on certain grid any one side up and down are effective grid, then it is assumed that be it is continuous, continuous effectively grid belongs to one group of continuous grid.It should also be noted that, target area is the region for needing to carry out site planning, it include target construction.

The embodiment of the invention provides a kind of modes of device for planning identification target construction, improve the realizability of scheme.

In conjunction with the 4th kind of possible implementation of the first aspect of the embodiment of the present invention, in a fifth possible implementation, information from objective pattern includes depth of building, and the process for the characteristic information that device for planning calculates target construction according to three-dimensional map information may include:

Device for planning is directed to each group of continuous grid, determines the maximum maximum value grid of height in the continuous grid of the group, and using the height of maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.

In conjunction with the 5th kind of possible implementation of the first aspect of the embodiment of the present invention, in a sixth possible implementation, information from objective pattern further includes number of floor levels, and accordingly, the process for the characteristic information that device for planning calculates target construction according to three-dimensional map information can also include:

The depth of building of target construction is obtained the corresponding number of floor levels of target construction divided by single layer building height by device for planning, wherein single layer building height is default value.

In conjunction with the 4th kind of possible implementation of the first aspect of the embodiment of the present invention, 5th kind of possible implementation or the 6th kind of possible implementation, in the 7th kind of possible implementation, information from objective pattern includes the floor area of building, and the process for the characteristic information that device for planning calculates target construction according to three-dimensional map information may include:

Device for planning is directed to each group of continuous grid, determines the quantity of the continuous grid of the group, i.e. the first grid quantity, the first grid quantity is acquired the corresponding area of the continuous grid of the group, that is, the floor area of building of target construction multiplied by single grate area.

In conjunction with the 7th kind of possible implementation of the first aspect of the embodiment of the present invention, in the 8th kind of possible implementation, information from objective pattern further includes saturation degree, and the process for the characteristic information that device for planning calculates target construction according to three-dimensional map information can also include:

Device for planning is directed to every group of continuous grid, determines the corresponding minimum circumscribed rectangle of the continuous grid of the group, and the corresponding floor area of building of the continuous grid of the group is obtained the corresponding saturation degree of the continuous grid of the group divided by the area of the minimum circumscribed rectangle.

Above-mentioned several embodiments provide the various ways that device for planning calculates the characteristic information of target construction, improve the realizability of scheme.

In conjunction with second of possible implementation of the first aspect of the embodiment of the present invention, in the 9th kind of mode in the cards, three-dimensional map information includes vector building distributed model, and device for planning may include: according to the process of three-dimensional map information identification target construction

Device for planning first determines target area corresponding closure line segment in the horizontal plane in vector building distributed model, if there is more than one connected point between two lines section in these closure line segments, then think that this two lines section is connected, mutually connected line segment belongs to the same group of closure line segment that is connected, thus device for planning can determine the multiple groups closure line segment in closure line segment, and the independent closure line segment other than these are connected closure line segment, the every group of closure line segment that is connected finally is determined as a target construction, and each is independently closed line segment and is determined as a target construction.It should be noted that target area is the region for needing to carry out site planning, it include target construction.

The embodiment of the invention provides the modes of another device for planning identification target construction, improve the flexibility of scheme.

In conjunction with the 9th kind of possible implementation of the first aspect of the embodiment of the present invention, in the tenth kind of possible implementation, characteristic information includes depth of building, and the process for the characteristic information that device for planning calculates target construction according to three-dimensional map information may include:

Device for planning is using the maximum value of the corresponding connected closure line segment of target construction or independent closure line segment height in vertical direction as the depth of building of target construction.

In conjunction with the tenth kind of possible implementation of the first aspect of the embodiment of the present invention, in a kind of the tenth possible implementation, characteristic information includes the floor area of building, and the process that device for planning calculates the characteristic information of target construction can also include:

If corresponding target construction is an independent closure line segment, device for planning is using the area of polygon composed by the corresponding independent closure line segment of target construction as the floor area of building；If corresponding target construction is one group of closure line segment that is connected, it regard the sum of the area of multiple polygons composed by the corresponding connected closure line segment of target construction as the floor area of building.

It can be understood that, in the tenth kind of possible implementation in conjunction with first aspect of the embodiment of the present invention, in the alternatively possible implementation of the embodiment of the present invention, characteristic information can also include number of floor levels, then device for planning calculates the characteristic information of target construction can also to include: device for planning obtains number of floor levels divided by single layer building height for the depth of building being calculated, and single layer building height is default value.

Device for planning can calculate characteristic information in several ways in above-mentioned several embodiments, improve can scheme flexibility.

In conjunction with second of possible implementation of the first aspect of the embodiment of the present invention, in the 12nd kind of possible implementation, three-dimensional map information includes above ground structure high-level model and vector building distributed model, correspondingly, device for planning may include: according to the process of three-dimensional map information identification target construction

Device for planning passes through the first building in above ground structure high-level model identification object region, after identifying the first building, device for planning calculates the corresponding saturation degree of each first building, after calculating the corresponding saturation degree of each first building, device for planning determines that saturation degree is greater than the second building of the second preset thresholding in the first building, and the third building less than the second preset thresholding, each second building is determined as a target construction, third building is split to obtain the 4th building by vector building distributed model, and each the 4th building is determined as a target construction.

The embodiment of the invention provides the modes of another device for planning identification target construction, improve the flexibility of scheme.

First aspect, the third of first aspect any implementation into the 12nd kind of implementation in conjunction with the embodiment of the present invention, in the 13rd kind of possible implementation, characteristic information includes terrestrial object information, three-dimensional map information includes covered ground model, accordingly, the process of the characteristic information of device for planning calculating target construction may include:

After target construction is carried out rasterizing processing by device for planning, determine at least one corresponding grid of target construction, when in these grids including more than one terrestrial object information, device for planning determines the corresponding second grid quantity of each terrestrial object information in these terrestrial object informations according to ground overlay model, using the most Target scalar information of quantity in corresponding second grid quantity as the terrestrial object information of target construction.

The embodiment of the invention provides the modes that another device for planning calculates characteristic information, improve the flexibility of scheme.

In conjunction with the embodiment of the present invention first aspect the third to the 13rd kind of possible implementation, in the 14th in possible implementation, characteristic information includes markup information, and three-dimensional map information includes punctual geo-objects Marking model, correspondingly, the process that device for planning calculates the characteristic information of target construction may include:

After target construction is carried out rasterizing processing by device for planning, determine at least one corresponding grid of target construction, at least one markup information for including in these grids is determined according to punctual geo-objects marking model, and using these markup informations as the markup information of target construction.

The embodiment of the invention provides the modes that another device for planning calculates characteristic information, improve the flexibility of scheme.

In conjunction with the first possible implementation of first aspect of the embodiment of the present invention, in the 15th kind of possible implementation, characteristic information includes telephone traffic characteristic information.

In conjunction with the 15th possible implementation of first aspect of the embodiment of the present invention, in the 16th kind of possible implementation, the process that device for planning calculates the characteristic information of target construction may include:

Device for planning is first searched for and the associated indoor cell of target construction, when determining in the presence of indoor cell associated with target construction, then using the corresponding telephone traffic characteristic information in indoor cell as the traffic characteristic information of target construction as the traffic characteristic information of target construction.

The embodiment of the invention provides the concrete modes that a kind of device for planning calculates telephone traffic characteristic information, improve the realizability of scheme.

In conjunction with first aspect of the embodiment of the present invention the 16th in may implementation, in the 17th kind of possible implementation, the process of characteristic information that device for planning calculates target construction can also include:

When device for planning search less than with the associated indoor cell of target construction, determine that there is no when indoor cell associated with target construction, device for planning search and the associated outdoor cell of target construction and/or traffic grid, and using the outdoor cell searched and/or the corresponding telephone traffic characteristic information of traffic grid as the traffic characteristic information of target construction.

The embodiment of the invention provides the modes that another device for planning calculates telephone traffic characteristic information, improve the flexibility of scheme.

In conjunction with the 15th to 17 any possible implementation of first aspect of the embodiment of the present invention, in the 18th kind of possible implementation, telephone traffic characteristic information includes the telephone traffic ratio (calling telephone traffic ratio in the following text) on working day and day off, scene information includes preset telephone traffic ratio, accordingly, device for planning determines that target construction process of corresponding target scene classification in preset system may include: according to characteristic information

Device for planning first passes through the similarity that T detection mode determines the corresponding telephone traffic ratio of target construction and the corresponding preset telephone traffic ratio of each scene type, then this determines maximum in the corresponding similarity of each scene It is worth the corresponding target scene classification of similarity.

The embodiment of the invention provides another kinds to determine target scene class otherwise, improves the flexibility of scheme.

In conjunction with the 15th to 17 any possible implementation of first aspect of the embodiment of the present invention, in the 19th kind of possible implementation, telephone traffic characteristic information includes the telephone traffic timing curve (calling telephone traffic timing curve in the following text) on working day and day off, scene information includes preset telephone traffic timing curve, correspondingly, device for planning determines that target construction corresponds to the process of target scene classification in preset system and may include: according to characteristic information

Device for planning first passes through the average distance between the corresponding telephone traffic timing curve of preset distance calculation calculating target construction preset timing curve corresponding with each scene type, after the corresponding average distance of each scene type is calculated, the corresponding target scene classification of minimum value average distance in these average distances is determined again, wherein, preset distance calculation includes Euclidean distance calculation or slope of curve difference calculation between curve.

The embodiment of the invention provides another kinds to determine target scene class otherwise, improves the flexibility of scheme.

In conjunction with the possible implementation of the first of first aspect of the embodiment of the present invention or first aspect, in the 20th kind of possible implementation, characteristic information includes information from objective pattern and telephone traffic characteristic information.

In conjunction with the 20th kind of possible implementation of first aspect of the embodiment of the present invention, in a kind of the 20th possible implementation, device for planning determines that target construction process of corresponding target scene classification in preset system may include: according to characteristic information

Device for planning is for each scene type in preset system, the information from objective pattern of calculating target construction corresponding second matching degree value in the scene type, and the traffic characteristic information of target construction corresponding third matching degree value in the scene type, further according to the first preset weighted value, second matching degree value, the weighted average of the scene type is calculated in second preset weighted value and third matching degree value, wherein, first preset weighted value is the corresponding weighted value of pre-set information from objective pattern, second preset weighted value is corresponding second weighted value of pre-set telephone traffic characteristic information, the maximum scene type of weighted average in preset system is finally determined as target scene classification.

The embodiment of the invention provides another device for planning to determine target scene class otherwise, improves the flexibility of scheme.

In conjunction with first aspect present invention, first aspect a kind of the first to 20 possible implementation in any implementation, in the 22nd kind of possible implementation, device for planning determines the corresponding target site type selection scheme of target construction later according to target scene classification and may include:

Device for planning carries out program results according to the site that target site type selection scheme and preset addressing system determine and estimates, wherein preset addressing system is the mode being addressed for the indoor and outdoor distribution situation of network index.

Device for planning passes through preset addressing system in the embodiment of the present invention, it is addressed for the indoor and outdoor distribution situation of network index, the site that the preset addressing system determines is planned with target site type selection scheme again, further increases the coverage rate in building, promotes user experience.

The second aspect of the embodiment of the present invention provides a kind of device for planning, comprising:

Module is obtained, for obtaining the characteristic information of target construction；

First determining module, for determining target construction corresponding target scene classification in preset system according to the characteristic information for obtaining module acquisition, it include at least two scene types in preset system, and the corresponding scene information of each scene type and site type selection scheme, scene information it is corresponding with characteristic information；

Second determining module, the target scene classification for being determined according to the first determining module determine the corresponding target site type selection scheme of target construction.

In conjunction with the second aspect of the embodiment of the present invention, in the first possible implementation, obtaining module includes:

Recognition unit, for identifying target construction according to three-dimensional map information；

First computing unit, the characteristic information of the target construction for calculating recognition unit identification.

In conjunction with the first possible implementation of the second aspect of the embodiment of the present invention, in the second possible implementation, characteristic information includes information from objective pattern.

In conjunction with second of possible implementation of the second aspect of the embodiment of the present invention, in the third possible implementation, the first determining module includes:

First determination unit, the first matching degree value between characteristic information scene information corresponding with scene type each in preset system for determining target construction；

Second determination unit, for determining the corresponding target scene classification of maximum value in the first matching degree value.

In conjunction with second of possible implementation of second aspect of the embodiment of the present invention, in the fourth possible implementation, three-dimensional map information includes above ground structure high-level model；

Recognition unit includes:

First determines subelement, and for determining target area corresponding target grid in above ground structure high-level model, target area includes target construction；

Second determines subelement, for determining that effective grid in target grid, effective grid are the grid that height is greater than the first preset thresholding；

Third determines subelement, for determining the continuous grid of multiple groups in effective grid；

4th determines subelement, for every group of continuous grid to be determined as a target construction.

In conjunction with the 4th kind of possible implementation of the second aspect of the embodiment of the present invention, in a fifth possible implementation, information from objective pattern includes depth of building, and the first computing unit includes:

4th determines subelement, for being directed to every group of continuous grid, determines the maximum maximum value grid of height in the continuous grid of the group；

5th determines subelement, for using the height of maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.

In conjunction with the 5th kind of possible implementation of the second aspect of the embodiment of the present invention, in a sixth possible implementation, information from objective pattern further includes number of floor levels, the first computing unit further include:

6th determines subelement, and for the depth of building of target construction to be obtained the corresponding number of floor levels of target construction divided by single layer building height, single layer building height is default value.

In conjunction with second aspect of the embodiment of the present invention the four to six in may any implementation in implementation, in the 7th kind of possible implementation of the invention, information from objective pattern includes the floor area of building, and the first computing unit includes:

7th determines subelement, for being directed to each group of continuous grid, determines the first grid quantity of the continuous grid of the group；

8th determines subelement, for the first grid quantity to be obtained the corresponding floor area of building of the continuous grid of the group multiplied by single grate area.

In conjunction with the 7th kind of possible implementation of the second aspect of the embodiment of the present invention, in the 8th kind of possible implementation, information from objective pattern further includes saturation degree, the first computing unit further include:

9th determines subelement, for being directed to each group of continuous grid, determines the corresponding minimum circumscribed rectangle of the continuous grid of the group；

Tenth determines subelement, is used for the corresponding floor area of building of the continuous grid of the group divided by minimum external square The area of shape obtains the corresponding saturation degree of the continuous grid of the group.

In conjunction with second of possible implementation of second aspect of the embodiment of the present invention, in the 9th kind of possible implementation, three-dimensional map information includes vector building distributed model；Recognition unit includes:

11st determines subelement, and for determining, corresponding closure line segment, target area include target construction in the horizontal plane for target area in vector building distributed model；

12nd determines subelement, is closed line segment for determining that the multiple groups in closure line segment are connected, and the independent closure line segment other than the closure line segment that is connected；

13rd determines subelement, for the every group of closure line segment that is connected to be determined as a target construction, and each is independently closed line segment and is determined as a target construction.

In conjunction with the 9th kind of possible implementation of the second aspect of the embodiment of the present invention, in the tenth kind of possible implementation, characteristic information includes depth of building, and the first computing unit includes:

14th determines subelement, for using the maximum value of the corresponding connected closure line segment of target construction or independent closure line segment height in vertical direction as depth of building.

In conjunction with the 9th kind of possible implementation of second aspect of the embodiment of the present invention, in a kind of possible implementation of sheet the tenth, characteristic information includes the floor area of building, and the first computing unit includes:

15th determines subelement, for using the area of polygon composed by the corresponding independent closure line segment of target construction as the floor area of building；

Or,

16th determines subelement, for regarding the sum of the area of multiple polygons composed by the corresponding connected closure line segment of target construction as the floor area of building.

In conjunction with second of possible implementation of the second aspect of the embodiment of the present invention, in the 12nd kind of possible implementation, three-dimensional map information includes above ground structure high-level model and vector building distributed model；

Recognition unit includes:

Subelement is identified, for by the first building in above ground structure high-level model identification object region, target area to include target construction；

Computation subunit, for calculating the corresponding saturation degree of each first building；

17th determines subelement, for determining that saturation degree is greater than the second building of the second preset thresholding in the first building, and each second building is determined as a target construction；

18th determines subelement, for determining the of saturation degree in the first building less than the second preset thresholding Three buildings；

Subelement is split, obtains the 4th building for being split by vector building distributed model to third building, and each the 4th building is determined as a target construction.

In conjunction with second aspect of the embodiment of the present invention first to 12 kind of possible implementation in any implementation, in the 13rd kind of possible implementation, characteristic information includes terrestrial object information；Three-dimensional map information includes covered ground model；

First computing unit includes:

19th determines subelement, for determining at least one corresponding grid of target construction；

20th determines subelement, for determining the corresponding second grid quantity of each terrestrial object information in more than one terrestrial object information according to ground overlay model when at least one grid including more than one terrestrial object information；

21st determines subelement, for using the maximum Target scalar information of corresponding second grid quantity as the terrestrial object information of target construction.

In conjunction with second aspect of the embodiment of the present invention first to 12 kind of possible implementation in any implementation, in the 14th kind of possible implementation, characteristic information includes markup information；Three-dimensional map information includes punctual geo-objects marking model；

First computing unit includes:

22nd determines subelement, for determining at least one corresponding grid of target construction；

23rd determines subelement, for determining at least one markup information for including at least one grid according to punctual geo-objects marking model；

24th determines subelement, for using at least one markup information as the markup information of target construction.

In conjunction with the first possible implementation of second aspect of the embodiment of the present invention, in the 15th kind of possible implementation, characteristic information includes telephone traffic characteristic information.

In conjunction with the 15th kind of possible implementation of the second aspect of the embodiment of the present invention, in the 16th kind of possible implementation, the first computing unit includes:

25th determines subelement, is used for when determining in the presence of indoor cell associated with target construction, using the corresponding telephone traffic characteristic information in indoor cell as the traffic characteristic information of target construction.

In conjunction with the 16th kind of possible implementation of the second aspect of the embodiment of the present invention, in the 17th kind of possible implementation, device further include:

Search unit, for searching for and the associated outdoor cell of target construction and/or traffic grid when determining there is no when indoor cell associated with target construction；

26th determines subelement, for using outdoor cell and/or the corresponding telephone traffic characteristic information of traffic grid as the traffic characteristic information of target construction.

In conjunction with the second aspect of the embodiment of the present invention the 15th to 17 kind of possible implementation in any implementation, in the 18th kind of possible implementation, telephone traffic characteristic information includes the telephone traffic ratio on working day and day off；Scene information includes preset telephone traffic ratio；

First determining module includes:

Third determination unit, for determining the similarity of the corresponding telephone traffic ratio of target construction and the corresponding preset telephone traffic ratio of each scene type by T detection mode；

4th determination unit, for determining the corresponding target scene classification of maximum value similarity in similarity.

In conjunction with the second aspect of the embodiment of the present invention the 15th to 17 kind of possible implementation in any implementation, in the 19th kind of possible implementation, telephone traffic characteristic information includes the telephone traffic timing curve on working day and day off；Scene information includes preset telephone traffic timing curve；

First determining module includes:

5th determination unit, for calculating the average distance between the corresponding telephone traffic timing curve of target construction preset timing curve corresponding with each scene type by preset distance calculation, wherein, preset distance calculation include between curve Euclidean distance calculation or slope of curve difference apart from calculation；

6th determination unit, for determining the corresponding target scene classification of minimum value average distance in average distance.

In conjunction with the second aspect of the embodiment of the present invention or the first possible implementation of second aspect, in 20 kinds of possible implementations, characteristic information includes information from objective pattern and telephone traffic characteristic information.

In conjunction with 20 kinds of possible implementations of the second aspect of the embodiment of the present invention, in a kind of the 20th possible implementation, the first determining module includes:

Second computing unit, for for each scene type in preset system, the information from objective pattern of the calculating target construction traffic characteristic information of corresponding second matching degree value and target construction corresponding third matching degree value in the scene type in the scene type；

Third computing unit, for the weighted average of the scene type to be calculated according to the first preset weighted value, the second matching degree value, the second preset weighted value and third degree matching value, the first preset weighted value is The corresponding weighted value of pre-set information from objective pattern, the second preset weighted value are corresponding second weighted value of the pre-set telephone traffic characteristic information；

7th determination unit, for determining the maximum target scene classification of weighted average in preset system.

In conjunction with any implementation in the second aspect of the embodiment of the present invention and a kind of the first to 20 possible implementation of second aspect, in the 22nd kind of possible implementation, device further include:

Module is estimated, the site that the target site type selection scheme and preset addressing system for determining according to the second determining module determine carries out program results and estimates, and preset addressing system is the mode being addressed for the indoor and outdoor distribution situation of network index.

The third aspect of the embodiment of the present invention provides a kind of device for planning, comprising: processor and memory；

Memory is for storing program；

Processor is used to execute the program in memory, specifically comprises the following steps:

Obtain the characteristic information of target construction；

Target construction corresponding target scene classification in preset system is determined according to characteristic information, includes that at least two scene types and the corresponding scene information of each scene type and site type selection scheme, scene information are corresponding with characteristic information in preset system；

The corresponding target site type selection scheme of target construction is determined according to target scene classification.

In conjunction with the third aspect of the embodiment of the present invention, in the first possible implementation, processing implement body is also executed the following steps:

Target construction is identified according to three-dimensional map information；

Calculate the characteristic information of target construction.

In conjunction with the first possible implementation of the third aspect of the embodiment of the present invention, in the second possible implementation, characteristic information includes information from objective pattern.

In conjunction with second of possible implementation of the third aspect of the embodiment of the present invention, in the third possible implementation, processing implement body is also executed the following steps:

Determine the first matching degree value between the characteristic information of target construction scene information corresponding with scene type each in preset system；

Determine the corresponding target scene classification of maximum value in the first matching degree value.

In conjunction with second of possible implementation of the third aspect of the embodiment of the present invention, in the fourth possible implementation, three-dimensional map information includes above ground structure high-level model；Processing implement body also executes the following steps:

Determine target area corresponding target grid in above ground structure high-level model, target area includes target construction；

Determine that effective grid in target grid, effective grid are the grid that height is greater than the first preset thresholding；

Determine the continuous grid of multiple groups in effective grid；

Every group of continuous grid is determined as a target construction.

In conjunction with the 4th kind of possible implementation of the third aspect of the embodiment of the present invention, in a fifth possible implementation, information from objective pattern includes depth of building, and processing implement body also executes the following steps:

For every group of continuous grid, the maximum maximum value grid of height in the continuous grid of the group is determined；

Using the height of maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.

In conjunction with the 5th kind of possible implementation of the third aspect of the embodiment of the present invention, in a sixth possible implementation, information from objective pattern further includes number of floor levels, and processing implement body also executes the following steps:

The depth of building of target construction is obtained into the corresponding number of floor levels of target construction divided by single layer building height, single layer building height is default value.

In conjunction with the third aspect of the embodiment of the present invention the four to six in may any implementation in implementation, in the 7th kind of possible implementation of the invention, information from objective pattern includes the floor area of building, and processing implement body also executes the following steps:

For each group of continuous grid, the first grid quantity of the continuous grid of the group is determined；

First grid quantity is obtained into the corresponding floor area of building of the continuous grid of the group multiplied by single grate area.

In conjunction with the 7th kind of possible implementation of the third aspect of the embodiment of the present invention, in the 8th kind of possible implementation, information from objective pattern further includes saturation degree, and processing implement body also executes the following steps:

For each group of continuous grid, the corresponding minimum circumscribed rectangle of the continuous grid of the group is determined；

The corresponding floor area of building of the continuous grid of the group is obtained into the corresponding saturation degree of the continuous grid of the group divided by the area of minimum circumscribed rectangle.

In conjunction with second of possible implementation of the third aspect of the embodiment of the present invention, in the 9th kind of possible implementation, three-dimensional map information includes vector building distributed model, and processing implement body also executes the following steps:

Determine that corresponding closure line segment, target area include target construction in the horizontal plane for target area in vector building distributed model；

It determines that the multiple groups in closure line segment are connected and is closed line segment, and the independent closure line segment other than the closure line segment that is connected；

The every group of closure line segment that is connected is determined as a target construction, and each is independently closed line segment and is determined as a target construction.

In conjunction with the 9th kind of possible implementation of the third aspect of the embodiment of the present invention, in the tenth kind of possible implementation, characteristic information includes depth of building, and processing implement body also executes the following steps:

Using the maximum value of the corresponding connected closure line segment of target construction or independent closure line segment height in vertical direction as depth of building.

In conjunction with the 9th kind of possible implementation of the third aspect of the embodiment of the present invention, in a kind of possible implementation of sheet the tenth, characteristic information includes the floor area of building, using the area of polygon composed by the corresponding independent closure line segment of target construction as the floor area of building；

Or,

It regard the sum of the area of multiple polygons composed by the corresponding connected closure line segment of target construction as the floor area of building.

In conjunction with second of possible implementation of the third aspect of the embodiment of the present invention, in the 12nd kind of possible implementation, three-dimensional map information includes above ground structure high-level model and vector building distributed model, and processing implement body also executes the following steps:

By the first building in above ground structure high-level model identification object region, target area includes target construction；

Calculate the corresponding saturation degree of each first building；

It determines that saturation degree is greater than the second building of the second preset thresholding in the first building, and each second building is determined as a target construction；

Determine that saturation degree is less than the third building of the second preset thresholding in the first building；

Third building is split by vector building distributed model to obtain the 4th building, and each the 4th building is determined as a target construction.

In conjunction with the third aspect of the embodiment of the present invention first to 12 kind of possible implementation in any implementation, in the 13rd kind of possible implementation, characteristic information includes terrestrial object information；Three-dimensional map information includes covered ground model；Processing implement body also executes the following steps:

Calculate target construction characteristic information include:

Determine at least one corresponding grid of target construction；

When at least one grid including more than one terrestrial object information, it is more than according to the determination of ground overlay model The corresponding second grid quantity of each terrestrial object information in one terrestrial object information；

Using the maximum Target scalar information of corresponding second grid quantity as the terrestrial object information of target construction.

In conjunction with the third aspect of the embodiment of the present invention first to 12 kind of possible implementation in any implementation, in the 14th kind of possible implementation, characteristic information includes markup information；Three-dimensional map information includes punctual geo-objects marking model；Processing implement body also executes the following steps:

Calculate target construction characteristic information include:

Determine at least one corresponding grid of target construction；

At least one markup information for including at least one grid is determined according to punctual geo-objects marking model；

Using at least one markup information as the markup information of target construction.

In conjunction with the first possible implementation of the third aspect of the embodiment of the present invention, in the 15th kind of possible implementation, characteristic information includes telephone traffic characteristic information.

In conjunction with the 15th kind of possible implementation of the third aspect of the embodiment of the present invention, in the 16th kind of possible implementation, processing implement body is also executed the following steps:

When determining in the presence of indoor cell associated with target construction, using the corresponding telephone traffic characteristic information in indoor cell as the traffic characteristic information of target construction.

In conjunction with the 16th kind of possible implementation of the third aspect of the embodiment of the present invention, in the 17th kind of possible implementation, processing implement body is also executed the following steps:

When determining there is no when indoor cell associated with target construction, search for and the associated outdoor cell of target construction and/or traffic grid；

Using outdoor cell and/or the corresponding telephone traffic characteristic information of traffic grid as the traffic characteristic information of target construction.

In conjunction with the third aspect of the embodiment of the present invention the 15th to 17 kind of possible implementation in any implementation, in the 18th kind of possible implementation, telephone traffic characteristic information includes the telephone traffic ratio on working day and day off；Scene information includes preset telephone traffic ratio；Processing implement body also executes the following steps:

Determine that target construction corresponding target scene classification in preset system includes: according to characteristic information

The similarity of the corresponding telephone traffic ratio of target construction and the corresponding preset telephone traffic ratio of each scene type is determined by T detection mode；

Determine the corresponding target scene classification of maximum value similarity in similarity.

It is any in the 15th to the 17 kind of possible implementation in conjunction with the third aspect of the embodiment of the present invention Implementation, in the 19th kind of possible implementation, telephone traffic characteristic information includes the telephone traffic timing curve on working day and day off；Scene information includes preset telephone traffic timing curve；Processing implement body also executes the following steps:

The average distance between the corresponding telephone traffic timing curve of target construction preset timing curve corresponding with each scene type is calculated by preset distance calculation, wherein, preset distance calculation include between curve Euclidean distance calculation or slope of curve difference apart from calculation；

Determine the corresponding target scene classification of minimum value average distance in average distance.

In conjunction with the third aspect of the embodiment of the present invention or the first possible implementation of the third aspect, in 20 kinds of possible implementations, characteristic information includes information from objective pattern and telephone traffic characteristic information.

In conjunction with 20 kinds of possible implementations of the third aspect of the embodiment of the present invention, in a kind of the 20th possible implementation, processing implement body is also executed the following steps:

For each scene type in preset system, the information from objective pattern of the target construction traffic characteristic information of corresponding second matching degree value and target construction corresponding third matching degree value in the scene type in the scene type is calculated；

The weighted average of the scene type is calculated according to the first preset weighted value, the second matching degree value, the second preset weighted value and third degree matching value, first preset weighted value is the corresponding weighted value of pre-set information from objective pattern, and the second preset weighted value is corresponding second weighted value of pre-set telephone traffic characteristic information；

Determine the maximum target scene classification of weighted average in preset system.

In conjunction with any implementation in the third aspect of the embodiment of the present invention and a kind of the first to 20 possible implementation of the third aspect, in the 22nd kind of possible implementation, processor is also executed the following steps:

It carries out program results according to the site that target site type selection scheme and preset addressing system determine to estimate, preset addressing system is the mode being addressed for the indoor and outdoor distribution situation of network index.

As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that

The characteristic information of the available target construction of device for planning in the embodiment of the present invention, target construction corresponding target scene classification in preset system is determined according to characteristic information, the corresponding target site type selection scheme of target construction is determined according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can exist in advance Classify in system to building, and different site type selection schemes is provided for different classes of scene, after device gets the characteristic information of building, so that it may identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Detailed description of the invention

To describe the technical solutions in the embodiments of the present invention more clearly, the accompanying drawings required for describing the embodiments of the present invention are briefly described below, apparently, drawings in the following description are only some embodiments of the invention, for those skilled in the art, without creative efforts, it is also possible to obtain other drawings based on these drawings.

Fig. 1 is one embodiment schematic diagram of network site planing method in the embodiment of the present invention；

Fig. 2 is another embodiment schematic diagram of network site planing method in the embodiment of the present invention；

Fig. 3 is another embodiment schematic diagram of network site planing method in the embodiment of the present invention；

Fig. 4 is another embodiment schematic diagram of network site planing method in the embodiment of the present invention；

Fig. 5 is another embodiment schematic diagram of network site planing method in the embodiment of the present invention；

Fig. 6 is one embodiment schematic diagram of device for planning in the embodiment of the present invention；

Fig. 7 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Fig. 8 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Fig. 9 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Figure 10 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Figure 11 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Figure 12 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Figure 13 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Figure 14 is another embodiment schematic diagram of device for planning in the embodiment of the present invention；

Figure 15 is one embodiment schematic diagram of preset telephone traffic ratio in the planing method of network site in the embodiment of the present invention.

Specific embodiment

Following will be combined with the drawings in the embodiments of the present invention, and technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those skilled in the art are not making creative labor Every other embodiment obtained under the premise of dynamic, shall fall within the protection scope of the present invention.

Description and claims of this specification and the (if present)s such as term " first " in above-mentioned attached drawing, " second ", " third " " the 4th " are to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that the data used in this way are interchangeable under appropriate circumstances, so that the embodiment of the present invention described herein for example can be performed in other sequences than those illustrated or described herein.Furthermore, term " includes " and " having " and their any deformation, it is intended to cover and non-exclusive includes, such as, the process, method, system, product or equipment for containing a series of steps or units those of are not necessarily limited to be clearly listed step or unit, but may include other step or units being not clearly listed or intrinsic for these process, methods, product or equipment.

In order to make it easy to understand, below first in the embodiment of the present invention some nouns and background technique be introduced.

Three-dimensional map information: as long as independent each building can be extracted from map in embodiments of the present invention, and the map for obtaining or calculating the information such as each depth of building, area, shape, building spacing, atural object, place name is referred to as three-dimensional map.

By taking Planet format electronic three-dimensional map as an example: electronic three-dimensional map is different from two common electronic maps, and part information relevant to building is capable of providing in electronic three-dimensional map, but can not thus directly acquire the information of each building.Wherein there is information relevant to building in electronic three-dimensional map:

(1) above ground structure high-level model: describing the distribution situation of various buildings and the height of building using grid, is independently indicated with width more than the access of preset threshold value, the building of street segmentation.

(2) vector building distributed model: describing the distribution situation and depth of building of various buildings using vector, is independently indicated with width more than the access of preset threshold value, the building of street segmentation.

(3) punctual geo-objects marking model: linear, planar and the title of punctual geo-objects using vector data form record.

(4) covered ground type covered ground model: is described using raster data form.

It can be understood that the electronic three-dimensional map of Planet format is only an example of three-dimensional map herein, it can also be the electronic map of Mapinfo format, can also be other maps, be specifically this time not construed as limiting.

Referring to Fig. 1, one embodiment of network site planing method includes: in the embodiment of the present invention

Step 101, device for planning obtain the characteristic information of target construction；

When device for planning needs to carry out target area the planning of network site, extract in target area first Target construction, then obtain the characteristic information of target construction.The detached building that be device for planning identified in specified region by certain way it should be noted that target construction refers in the embodiment of the present invention.

Step 102, device for planning determine target construction corresponding target scene classification in preset system according to this feature information；

Device for planning determines the target construction corresponding target scene classification in preset system according to the characteristic information of target construction.It should be noted that including at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system, wherein scene information is corresponding with characteristic information.And the corresponding relationship between these scene types, scene information, site type selection scheme and this three, it is that user or system are pre-set, can rule of thumb it be arranged with user, it is also possible to what system was obtained according to historical data comprehensive analysis, it can also be other modes, be specifically this time not construed as limiting.

Step 103, device for planning determine the corresponding target site type selection scheme of target construction according to target scene classification.

After device for planning determines the corresponding target scene classification of target construction, the corresponding target site type selection scheme of target construction is determined according to target scene classification, that is, determines target scene classification target site type selection scheme corresponding in preset system.

The characteristic information of the available target construction of device for planning in the embodiment of the present invention, target construction corresponding target scene classification in preset system is determined according to characteristic information, the corresponding target site type selection scheme of target construction is determined according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after device gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

In order to make it easy to understand, the network site planing method in the embodiment of the present invention is described in detail below, referring to Fig. 2, another embodiment of network site planing method includes: in the embodiment of the present invention

Step 201, device for planning identify target construction according to three-dimensional map information；

When device for planning needs to carry out target area the planning of network site, three-dimensional map information is first obtained, identifies target construction further according to three-dimensional map information.In the embodiment of the present invention, it can also include other maps that three-dimensional map information, which may include the electronic map of plantnet format or the electronic map of Mapinfo format, Information, this is not limited here.

Step 202, device for planning calculate the characteristic information of target construction；

After device for planning identifies target construction, the characteristic information of target construction is calculated.In the embodiment of the present invention, it can also include other information, this is not limited here that characteristic information, which may include information from objective pattern, terrestrial object information, markup information or telephone traffic characteristic information,.

Step 203, device for planning determine target construction corresponding target scene classification in preset system according to this feature information；

After device for planning calculates the characteristic information of target construction, target construction corresponding target scene classification in preset system is determined according to this feature information.

It should be noted that including at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system, wherein scene information is corresponding with characteristic information.And the corresponding relationship between these scene types, scene information, site type selection scheme and this three, can be user carries out customized classification setting to scene in systems in advance, is also possible to system and passes through the sample analysis classification setting to building.

Specifically, device for planning matches the characteristic information being calculated scene information corresponding with each scene type in preset system, determines target scene classification according to matching result.Specific matching way is related to scene classification principle, i.e., related to the correspondence setting of scene type and scene information.

Step 204, device for planning determine the corresponding target site type selection scheme of target construction according to target scene classification.

After device for planning determines the corresponding target scene classification of target construction, the corresponding target site type selection scheme of target construction is determined according to target scene classification, that is, determines target scene classification target site type selection scheme corresponding in preset system.

It should be noted that, in the embodiment of the present invention and subsequent embodiment, device for planning determines after target site type selection scheme, it can also determine that site carries out program results and estimates according to target site type selection scheme and preset addressing system, wherein, preset addressing system is the mode being addressed for the indoor and outdoor distribution situation of network index.Specifically, device for planning first determines the indoor and outdoor distribution situation for net network index occur, network index may include level, interference or rate, it can also include other indexs, it is specifically this time not construed as limiting, specifically can determine distribution situation inside and outside the interior of network index by traffic statistics data and measurement report (MR, Measurement Report) performance data, can also by other means, this is not limited here. After the indoor and outdoor distribution situation for determining network index, device for planning is addressed to identify indoor problem area further according to the distribution situation of indoor and outdoor network index, and determine these corresponding addresses of building a station of interior problem area, indoor problem area refers to that user experience index is lower than the region of preset threshold value, user experience index may include covering index, index or downloading rate index are interfered, can also include the index of other influences user experience, this is not limited here.

It should also be noted that, the target area in the embodiment of the present invention and subsequent embodiment can be the indoor problem area determined by pre-address mode, it is also possible to other regions planned, is specifically not construed as limiting.

The characteristic information of the available target construction of device for planning in the embodiment of the present invention, target construction corresponding target scene classification in preset system is determined according to characteristic information, the corresponding target site type selection scheme of target construction is determined according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after device gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, device for planning provides a kind of concrete mode of the characteristic information of device for planning acquisition target construction in the embodiment of the present invention, the realizability of scheme is improved.

In the corresponding embodiment of above-mentioned Fig. 2, device for planning can identify target construction according to three-dimensional map information in several ways, and identification method is related to three-dimensional map information, this step is described in detail by taking the electronic three-dimensional map of Planet format as an example below.

Identification method one identifies target construction by above ground structure high-level model.

When three-dimensional map information includes above ground structure high-level model, device for planning can identify in the following way target construction:

Step (1), device for planning determine target area corresponding target grid in above ground structure high-level model；

Device for planning obtains above ground structure high-level model, determines target area corresponding grid in the model.It should be noted that grid is the grid of preset format here, it can be five meters of rice that quintuple, can be two meters multiplied by two meters, can also be extended formatting, it is specifically related to above ground structure high-level model, herein It is not construed as limiting.

Step (2), device for planning determine effective grid in target grid；

Grid in above ground structure high-level model includes elevation information, device for planning determines target area in above ground structure high-level model after corresponding target grid, determine the elevation information for including in each target grid, it is determined according to these elevation informations and is highly greater than the first preset thresholding in these grids, and affiliated type of ground objects is the grid of effective atural object, as effective grid.Here effective atural object refers to the atural object that can be used as building, as park, greenery patches, ocean etc. just belong to typical non-effective atural object.Device for planning can select type of ground objects for the grid of effective atural object by parameter configuration.Specifically, since in the electronic three-dimensional map of Planet format, different zones are not necessarily identical to the name of atural object, in order to improve the accuracy of identification building, device for planning needs that effective atural object is arranged as the case may be.

Step (3), device for planning determine the continuous grid of multiple groups in effective grid；

After device for planning determines effective grid, the continuous grid in these effective grids is determined, specifically, if the adjacent cells on certain grid any one side up and down are effective grid, then it is assumed that be it is continuous, continuous effectively grid belongs to same group of continuous grid.

Every group of continuous grid is determined as a target construction by step (4).

After device for planning determines the continuous grid of multiple groups, by every group of continuous grid splicing one detached building of composition, the i.e. corresponding target construction of every group of continuous grid.

Identification method two passes through vector building distribution model identification target construction.

When three-dimensional map information includes vector building distributed model, device for planning can identify in the following way target construction:

Step (1) device for planning determines in vector building distributed model target area corresponding closure line segment in the horizontal plane；

Device for planning obtains vector building distributed model, determines the target area corresponding closure line segment in the horizontal plane in vector building distributed model.

Step (2) device for planning determines that the multiple groups in closure line segment are connected and is closed line segment, and the independent closure line segment other than the closure line segment that is connected；

After device for planning determines the corresponding closure line segment in target area, determines that the multiple groups in these closure line segments are connected and be closed line segment, and the independent closure line segment other than the closure line segment that is connected.Specifically, if there are more than one connected points between two closure line segments, then it is assumed that this two closure line segments are connected, connected closure Line segment belongs to the same group of closure line segment that is connected.If a closure line segment, there is no be closed line segment if coupled, then it is assumed that is independent closure line segment.

The every group of closure line segment that is connected is determined as a target construction by step (3) device for planning, and each is independently closed line segment and is determined as a target construction.

Device for planning, which determines, to be connected after closure line segment and independent closure line segment, the every group of closure line segment that is connected is determined as a detached building, the i.e. every group corresponding target construction of closure line segment that is connected, other are independently closed to line segment simultaneously and is determined as a detached building, i.e., every independent closure line segment is determined as a target construction.

It should be noted that, device for planning can also identify in the following way building by vector building distributed model: determining in vector building distributed model target area corresponding closure line segment in the horizontal plane, each closure line segment is determined as a target construction.

Identification method three passes through above ground structure high-level model and vector building distribution model identification target construction.

When three-dimensional map information includes above ground structure high-level model and vector building distributed model, device for planning can identify in the following way target construction:

Step (1), device for planning identify the first building by above ground structure high-level model；

Device for planning obtains above ground structure high-level model, identifies the first building by above ground structure high-level model, and specific identification method is similar to the identification process of above-mentioned identification method one, and specific details are not described herein again.

Step (2), device for planning calculate the corresponding saturation degree of each first building；

After device for planning identifies the first building, the corresponding saturation degree of each first building is calculated.

Step (3), device for planning determine that saturation degree is greater than the second building of the second preset thresholding in the first building, and each second building is determined as a target construction；

The building that saturation degree in first building is greater than the second preset thresholding is determined as the second building by device for planning, and each second building is determined as a target construction.

Step (4), device for planning determine that saturation degree is less than the third building of the second preset thresholding in the first building；

Building of the device for planning by saturation degree in the first building less than the second preset thresholding is determined as third building.

Step (5), device for planning are split to obtain by vector building distributed model to third building 4th building, and each the 4th building is determined as a target construction.

Device for planning obtains vector building distributed model, is split to obtain the 4th building to determining third building, and each the 4th building is determined as a target construction.Specifically, it is determined that the corresponding region of third building, then by the detached building in these regions of vector building distribution model identification, i.e. the 4th building, specific identification process is similar to the identification process of above-mentioned identification method two, it is specific that details are not described herein again.

It is understood that device for planning can also be other implementations, be specifically this time not construed as limiting by the process of above ground structure high-level model and vector building distribution model identification target construction in addition to aforesaid way.

In the embodiment of the present invention, device for planning can identify target construction in several ways, improve the flexibility of scheme.

Based on the corresponding embodiment of Fig. 2, based on different mode classifications, scene type, scene information, site type selection scheme and the corresponding relationship of this three are different, correspondingly, the characteristic information that device for planning calculates is also different, and based on different characteristic informations, the calculation of device for planning and determining target scene class are also different otherwise, are described in detail below for wherein several situations.

One, classified according to information from objective pattern.

Referring to Fig. 3, another embodiment of network site planing method includes: in the embodiment of the present invention

Step 301, device for planning identify target construction according to three-dimensional map information；

When device for planning needs to carry out target area the planning of network site, three-dimensional map information is first obtained, identifies target construction further according to three-dimensional map information.Three-dimensional map information can be the electronic map of plantnet format, can be the electronic map of Mapinfo format, can also be other cartographic informations, this is not limited here.

Device for planning can identify target construction by above-mentioned identification method one, identification method two or identification method three, can also identify target construction by other means, this is not limited here.

Step 302, device for planning calculate the characteristic information of target construction；

After device for planning identifies target construction, the characteristic information of target construction is calculated.In the embodiment of the present invention, characteristic information includes information from objective pattern.And information from objective pattern may include depth of building, number of floor levels, the floor area of building or saturation degree, can also include the information with building morphologic correlation, specifically this time be not construed as limiting.For different information from objective pattern, the calculation of device for planning is also different.Below It describes in detail to wherein several ways:

(1) depth of building.

If target construction is that device for planning is identified by above ground structure high-level model, it is one group of continuous grid that then target construction is corresponding, device for planning can calculate in the following way depth of building: be directed to every group of continuous grid, the maximum maximum value grid of height in the continuous grid of the group is determined, using the height of maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.

If target construction is that device for planning passes through vector building distribution model identification, then target construction is corresponding is one group and is connected closure line segment or an independent closure line segment, device for planning can calculate in the following way depth of building: using the maximum value of the corresponding connected closure line segment of target construction or independent closure line segment height in vertical direction as depth of building.

(2) number of floor levels.

After the depth of building of each target construction is calculated in device for planning, depth of building can be obtained to the number of floor levels of target construction divided by single layer building height, wherein single layer building height can be default number, be also possible to the numerical value of the customized setting of user, this is not limited here.

(3) floor area of building.

If target construction is that device for planning is identified by above ground structure high-level model, it is one group of continuous grid that then target construction is corresponding, device for planning can calculate building sides object product in the following way: for every group of continuous grid, determine the grid quantity of the continuous grid of the group, here it is denoted as the first grid quantity, the corresponding floor area of building of the continuous grid of the group, the i.e. area of the corresponding target construction of the continuous grid of the group is can be obtained into multiplied by the area of single grid in first grid quantity.

If target construction is that device for planning passes through vector building distribution model identification, it is one group of be connected closure line segment or independent closure line segment that then target construction is corresponding, device for planning can calculate in the following way the floor area of building: for target construction corresponding with one group of closure line segment that is connected, ask the sum of the area of the multiple polygons composed by closure line segment that are connected, and the floor area of building by the sum of area acquired as the target construction；For target construction corresponding with an independence closure line segment, this is independently closed to the floor area of building of the area as the target construction of polygon composed by line segment.

(4) saturation degree.

For the target construction identified by above ground structure high-level model, device for planning can also calculate the saturation degree of target construction, and specifically, device for planning is directed to each group of continuous grid, determine that the group connects The continuous corresponding minimum circumscribed rectangle of grid, can be obtained the corresponding saturation degree of the continuous grid of the group divided by the area of the minimum circumscribed rectangle for the corresponding floor area of building of the continuous grid of the group.

(5) terrestrial object information.

In the embodiment of the present invention, characteristic information can also include terrestrial object information, three-dimensional map information can also include covered ground model, then device for planning can calculate in the following way terrestrial object information: determine the corresponding multiple grids of target construction, the terrestrial object information for including in these grids is determined according to ground overlay model, if the terrestrial object information more than one that these grids include, then it is directed to each terrestrial object information, determine the grid quantity comprising the terrestrial object information, thereby determine that the corresponding grid quantity of each terrestrial object information, it is denoted as the second grid quantity, using the most Target scalar information of corresponding second grid quantity as the terrestrial object information of the target construction.

(6) markup information.

In the embodiment of the present invention, characteristic information can also include markup information, three-dimensional map information can also include punctual geo-objects marking model, then device for planning can calculate in the following way markup information: determine the corresponding multiple grids of target construction, the markup information for including in this multiple grid is determined according to punctual geo-objects marking model, is exactly the corresponding markup information of this target construction by these markup informations.

It should be noted that, device for planning needs first before calculating terrestrial object information and/or markup information by target construction rasterizing, if device for planning is to identify target construction by above ground structure high-level model, because above ground structure high-level model is exactly that grid is used to describe building, it does not need to make rasterizing processing to target construction again, the corresponding multiple grids of target construction are exactly the grid that the corresponding continuous grid of target construction is included.If device for planning is by vector building distribution model identification target construction, then device for planning carries out rasterizing processing to target construction after identifying target construction, specifically, calculate the boundary rectangle that target construction is parallel to X-axis and Y-axis on vector building distributed model, the boundary rectangle is tiled into the grid of preset format again, obtains being exactly the corresponding grid of target construction.

Step 303, device for planning determine the first matching degree value between the characteristic information of target construction scene information corresponding with scene type each in preset system；

After the information from objective pattern of target construction is calculated in device for planning, the information from objective pattern of target construction scene information corresponding with each scene type is matched, the corresponding matching degree value of each scene type is obtained, is denoted as the first matching degree value.

It is understood that device for planning is when calculating the first matching value if characteristic information further includes markup information and/or terrestrial object information, it is also necessary to which markup information and/or terrestrial object information is corresponding with each scene type Scene information matched.

Step 304, device for planning determine the corresponding target scene classification of maximum value in the first matching degree value；

After device for planning obtains the first matching degree value, the maximum value in the first matching degree value is determined, and determine the corresponding target scene classification of the maximum value, the i.e. most matched scene type of the information from objective pattern of scene information and target construction.

Step 305, device for planning determine the corresponding target site type selection scheme of target construction according to target scene classification.

After device for planning determines the corresponding target scene classification of target construction, the corresponding target site type selection scheme of target construction is determined according to target scene classification, that is, determines target scene classification target site type selection scheme corresponding in preset system.

The characteristic information of the available target construction of device for planning in the embodiment of the present invention, target construction corresponding target scene classification in preset system is determined according to characteristic information, the corresponding target site type selection scheme of target construction is determined according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after device gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, characteristic information includes information from objective pattern in the embodiment of the present invention, device for planning can calculate information from objective pattern in several ways, improve the flexibility of scheme.

Again, the embodiment of the invention provides the concrete mode that a kind of device for planning determines target scene classification, the realizability of scheme is improved.

Two, classified according to telephone traffic characteristic information.

In the embodiment of the present invention, characteristic information includes telephone traffic characteristic information, and scene information includes preset telephone traffic ratio.

Step 401, device for planning identify target construction according to three-dimensional map information；

The process of device for planning identification target construction is similar to the identification process of step 301 in Fig. 3 corresponding embodiment in the embodiment of the present invention, and specific details are not described herein again.

Step 402, device for planning calculate the traffic characteristic information of target construction；

After device for planning identifies target construction, the traffic characteristic information of target construction is calculated, it specifically can be in the following way:

Device for planning search and the associated indoor cell of target construction, when search is less than associated indoor cell, device for planning may search for the associated outdoor cell of target construction and/or traffic grid, and using indoor cell and/or the corresponding telephone traffic characteristic information of traffic grid as the traffic characteristic information of the target construction；When searching associated indoor cell, device for planning is using the corresponding telephone traffic characteristic information in the indoor cell as the traffic characteristic information of target construction, further, after device for planning searches associated indoor cell, it can also continue to search for associated traffic grid, the corresponding telephone traffic characteristic information of traffic grid be also used as to the traffic characteristic information of target construction.

It should be noted that the corresponding telephone traffic characteristic information in indoor cell or outdoor cell refers in its corresponding traffic statistics data, for characterizing the information of telephone traffic.It is used to characterize the information of telephone traffic in the MR performance data by grid that the corresponding telephone traffic characteristic information of traffic grid refers to.Telephone traffic characteristic information may include the telephone traffic ratio or the telephone traffic timing curve on working day and day off on working day and day off, can also include the information of other characterization telephone traffics, this is not limited here.

Step 403, device for planning determine target construction corresponding target scene classification in preset system according to telephone traffic characteristic information；

For different types of telephone traffic characteristic information, device for planning determines that target scene class is also different otherwise, is illustrated by taking the telephone traffic ratio and working day on working day and day off and the telephone traffic timing curve on day off (hereinafter referred to as telephone traffic ratio and telephone traffic timing curve) as an example below:

(1) the telephone traffic ratio on working day and day off.

When telephone traffic characteristic information includes the telephone traffic ratio on working day and day off, device for planning can detect the telephone traffic ratio of target construction and the similarity of the corresponding preset telephone traffic ratio of each scene type by T detection mode, it is directed to each scene type, the similarity of the preset telephone traffic ratio of the scene type and the telephone traffic ratio of target construction is detected by T detection mode.

It should be noted that scene information includes preset telephone traffic ratio in the embodiment of the present invention, preset telephone traffic ratio can be user and input setting, be also possible to what device for planning was calculated.Specifically, device for planning can calculate preset telephone traffic ratio in the following way:

The MR performance data for having determined that the corresponding traffic statistics data of the building of scene type and/or corresponding grid is obtained, these traffic statistics data and/or MR performance data carry out sample statistics and engineering respectively It practises, to obtain the distribution of cell telephone traffic ratio and/or the distribution of grid traffic ratio on the building working day and day off of each scene type.

Here if the traffic characteristic information of target construction is determined by the traffic statistics data of indoor cell or outdoor cell, preset telephone traffic ratio refers to the above-mentioned cell telephone traffic ratio distribution being calculated；If the traffic characteristic information of target construction is determined by traffic grid, preset traffic ratio refers to the above-mentioned grid traffic ratio distribution being calculated.If the traffic characteristic information of target construction is determined by traffic statistics data and traffic grid, preset traffic ratio refers to the above-mentioned distribution of cell telephone traffic ratio and the distribution of grid traffic ratio being calculated.

(1) the telephone traffic timing curve on working day and day off.

When telephone traffic characteristic information includes the telephone traffic timing curve on working day and day off, device for planning can calculate the average distance between the corresponding telephone traffic timing curve of target construction preset timing curve corresponding with each scene type by preset distance calculation, then using the corresponding scene type of minimum value average distance in these average distances as target scene classification.

It should be noted that scene information includes preset timing curve in the embodiment of the present invention, preset timing curve can be user and input setting, be also possible to arriving for device for planning calculating.Specifically, device for planning can calculate in the following way preset timing curve:

Acquisition has determined that the corresponding traffic statistics data of the building of scene type and/or grid MR performance data, the corresponding traffic statistics data of the building for belonging to Same Scene classification and/or grid MR performance data are normalized, again the data after normalization are fitted with the convergence curve for obtaining the telephone traffic timing of the scene type, as preset timing curve.

Step 404, device for planning determine the corresponding target site type selection scheme of target construction according to target scene classification.

After device for planning determines the corresponding target scene classification of target construction, the corresponding target site type selection scheme of target construction is determined according to target scene classification, that is, determines target scene classification target site type selection scheme corresponding in preset system.

The characteristic information of the available target construction of device for planning in the embodiment of the present invention, target construction corresponding target scene classification in preset system is determined according to characteristic information, the corresponding target site type selection scheme of target construction is determined according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can exist in advance Classify in system to building, and different site type selection schemes is provided for different classes of scene, after device gets the characteristic information of building, so that it may identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, characteristic information includes telephone traffic characteristic information in the embodiment of the present invention, device for planning can calculate telephone traffic characteristic information in several ways, and provide corresponding a variety of determining target scene classes otherwise, improve the flexibility of scheme.

Three, classified according to information from objective pattern and telephone traffic characteristic information.

Referring to Fig. 5, another embodiment of network site planing method includes: in the embodiment of the present invention

Step 501, device for planning identify target construction according to three-dimensional map information；

The process of device for planning identification target construction is similar to the identification process of step 301 in Fig. 3 corresponding embodiment in the embodiment of the present invention, and specific details are not described herein again.

Step 502, device for planning calculate the information from objective pattern and telephone traffic characteristic information of target construction；

Characteristic information includes information from objective pattern and telephone traffic characteristic information in the embodiment of the present invention, and it can also include the information of other and building morphologic correlation that information from objective pattern, which includes depth of building, number of floor levels, the floor area of building or saturation degree,.Telephone traffic characteristic information includes the telephone traffic ratio and telephone traffic timing curve on working day and day off, can also include the information of other characterization telephone traffic characteristics, this is not limited here.

Specifically, device for planning can calculate the information from objective pattern of target construction in the embodiment of the present invention in such a way that device for planning in the step 302 of Fig. 3 corresponding embodiment calculates depth of building, number of floor levels, the floor area of building and saturation degree, it can also calculate by other means, this is not limited here.

Specifically, device for planning can calculate the traffic characteristic information of target construction in the embodiment of the present invention in such a way that device for planning in the step 402 of Fig. 4 corresponding embodiment calculates the telephone traffic ratio and telephone traffic timing curve on working day and day off, it can also calculate by other means, this is not limited here.

Step 503, device for planning calculate third matching degree value of the traffic characteristic information of second matching degree value and target construction of the information from objective pattern of target construction in the scene type in the scene type for each scene type in preset system；

Device for planning is calculated after information from objective pattern and the telephone traffic characteristic information of target construction, for each scene type in preset system, the information from objective pattern of target construction is matched with the information from objective pattern of the scene type, obtain the corresponding matching degree value of the scene type, it is denoted as the second matching degree value Meanwhile matching the traffic characteristic information of target construction with the preset telephone traffic characteristic information of the scene type, the corresponding matching degree value of the scene type is obtained, remembers third matching degree value.

The weighted average of the scene type is calculated according to the first preset weighted value, the second degree matching value, the second preset weighted value and third degree matching value for step 504, device for planning；

After corresponding second matching degree value of each scene type and third matching degree value is calculated in device for planning, for each scene type, by corresponding second matching degree value of the scene type multiplied by the first preset weighted value, corresponding third matching degree value obtains the corresponding weighted average of the scene type multiplied by the second preset weighted value.

It should be noted that the first preset weighted value is the corresponding weighted value of pre-set information from objective pattern in the embodiment of the present invention, the second preset weighted value is corresponding second weighted value of pre-set telephone traffic characteristic information.

Step 505, device for planning determine the maximum target scene classification of weighted average in preset system；

After the corresponding weighted average of each scene type is calculated in device for planning, the maximum target scene classification of weighted average in preset system is determined.

Step 506, device for planning determine the corresponding target site type selection scheme of target construction according to target scene classification.

After device for planning determines the corresponding target scene classification of target construction, the corresponding target site type selection scheme of target construction is determined according to target scene classification, that is, determines target scene classification target site type selection scheme corresponding in preset system.

It can be understood that, step 504 to step 505 device for planning determines that the process of target scene classification can have other alternatives in the embodiment of the present invention, such as device for planning can carry out data sample study by the building to determining scene type and establish classifier, the corresponding target scene classification of target construction is determined by classifier according to information from objective pattern and telephone traffic characteristic information, device for planning can also determine target scene classification by other means, specifically this time be not construed as limiting.

The characteristic information of the available target construction of device for planning in the embodiment of the present invention, target construction corresponding target scene classification in preset system is determined according to characteristic information, the corresponding target site type selection scheme of target construction is determined according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and provide different site type selection schemes for different classes of scene, After device gets the characteristic information of building, so that it may identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, in the embodiment of the present invention, characteristic information includes information from objective pattern and telephone traffic characteristic information, information from objective pattern can characterize the surface of building, telephone traffic characteristic information can characterize the inside usage feature of building, device for planning, which combines the two, classifies to building, improves the accuracy of prediction classification.

It can be understood that, device for planning is classified except through above-mentioned several ways, can also have other mode classifications, such as classify according to markup information and terrestrial object information, classified etc. according to markup information, terrestrial object information and telephone traffic characteristic information, is specifically no longer described in detail herein.

In order to make it easy to understand, the network site planing method in the embodiment of the present invention is described with a practical application scene below:

Device for planning obtains 100 markets and the corresponding traffic statistics data of office building, for statistical analysis to the traffic statistics data in market and office building respectively and machine learning obtains the telephone traffic ratio (preset telephone traffic ratio) on market and office building corresponding working day and day off, is illustrated in fig. 15 shown below.

Building is divided into market, office building, other buildings, high-rise, median low structure object and villages within the city (scene type) according to the information from objective pattern (including the floor area of building, depth of building, saturation degree and building spacing) of building, markup information, terrestrial object information and telephone traffic characteristic information (telephone traffic ratio and telephone traffic timing curve including working day and day off) by device for planning, it specifically is shown in Table 1, the place of blank indicates not limit in table.

By above-mentioned scene type, the corresponding scene information (corresponding information from objective pattern, markup information, terrestrial object information and telephone traffic characteristic information in i.e. above-mentioned table 1) of each scene type and site type selection scheme (corresponding site type logical division and specific site type in i.e. above-mentioned table 1) are input in preset system device for planning.

It now needs to carry out the planning of network site to small town A, device for planning obtains the traffic statistics data and MR performance data of small town A first, the indoor and outdoor distribution situation that signal covers in the A of small town is determined by these data, is addressed that (preset addressing system) determines the room area B (target area) of the weak covering of small town A further according to distribution situation.Device for planning obtains the electronic three-dimensional map of region B, which includes above ground structure high-level model (three-dimensional map information), which describes building using 5 meters * 5 meters of grid, and include corresponding elevation information in each grid.After obtaining model, device for planning Determine that region B in the corresponding target grid of the model, and obtains the corresponding elevation information of each target grid, wherein the height of 1 to No. 100 grid is greater than five meters (the first preset thresholding), then device for planning determines that 1 to No. 100 grid is effective grid.And in 1 to No. 100 grid, 1 to No. 50 grid is continuous, 56 to No. 60 grids are continuous, 1 to No. 50 grid is determined as one group of continuous grid by device for planning, a corresponding detached building C (target construction), 56 to No. 60 grids are determined as one group of continuous grid, a corresponding detached building D (target construction).

Maximum value is 120 meters (height maxima) in the elevation information that 1 to No. 50 grid includes, and corresponding grid is No. 45 grids (maximum value grid), then device for planning is by 120 meters of depth of buildings as C.It is No. 47 grids (maximum value grid) that maximum value, which is 72 meters (height maxima) corresponding grids, in the elevation information that 46 to No. 60 grids include, then device for planning is by 72 meters of depth of buildings as D.

Corresponding 1 to No. 50 grid of C, grid quantity is 51 (the first grid quantity), corresponding 46 to No. 60 grids of D, grid quantity is 5 (the first grid quantity), and the format of these grids is 5 meters * 5 meters, therefore the grate area of single grid is 25 square metres (single grate area), device for planning is by 51*25 square metres, obtaining the corresponding floor area of building of C is 1275 square metres, and obtaining the corresponding floor area of building of D for 5*25 square metres is 125 meters.

The floor area of building and depth of building (information from objective pattern) of D is calculated in device for planning, by 125 square metres of the floor area of building of C, 72 meters of tables of comparisons 1 of depth of building are identified and (are matched the information from objective pattern of target construction scene information corresponding with each scene type), learn C and market, the scene information of these three scene types of office building and other buildings mismatches completely, it is matched with the scene information part of median low structure object and villages within the city's building the two scene types, it is exactly matched with high-rise, device for planning determines that D is high-rise (target scene classification), corresponding site type logical division is that indoor (single layer station) is beaten in outdoor, specific site type is macro station or Atom or BOOKRRU or EasyMacro (target site type selection scheme ), device for planning selects macro station as specific site type, and the address for establishing macro station is determined by above-mentioned preset addressing system and site type logical division, device for planning estimates the effect that the programme obtains, estimates effect according to this and determine the corresponding site final building D and site type.

After the floor area of building and depth of building (information from objective pattern) of C is calculated in device for planning, due to 1275 square metres of construction area of C, 120 meters of depth of building can match with the scene information of market, office building and other buildings, therefore not can determine that the corresponding scene type of C.Device for planning search and the associated indoor cell C, determine that the indoor cell E in the A of small town is associated with building C, plan The traffic statistics data of device acquisition indoor cell E, the working day of indoor cell E and the telephone traffic ratio on day off are extracted from these traffic statistics data, the T detection mode that device for planning uses detects to obtain the similarity of the preset telephone traffic ratio of the mean value of the telephone traffic proportional sample and market as 5%, similarity with the preset telephone traffic ratio of office building is 85%, therefore device for planning determines that the corresponding scene type of C is office building (target scene classification), corresponding site type logical division is indoor station, specific site type is DAS (target site type selection scheme), device for planning determines the address for establishing DAS by above-mentioned preset addressing system and the corresponding site type logical division of C, estimate the effect that the programme obtains, effect, which is estimated, according to this determines the corresponding site final building C and site type.

Table 1

The network site planing method in the embodiment of the present invention is described above, the device for planning in the embodiment of the present invention is described below, referring to Fig. 6, one embodiment of device for planning includes: in the embodiment of the present invention

Module 601 is obtained, for obtaining the characteristic information of target construction；

First determining module 602, for determining target construction corresponding target scene classification in preset system according to the characteristic information for obtaining the acquisition of module 601, it include at least two scene types in preset system, and the corresponding scene information of each scene type and site type selection scheme, scene information it is corresponding with characteristic information；

Second determining module 603, the target scene classification for being determined according to the first determining module 602 determine the corresponding target site type selection scheme of target construction.

The characteristic information of the available target construction of module 601 is obtained in the embodiment of the present invention, first determining module 602 determines target construction corresponding target scene classification in preset system according to characteristic information, second determining module 603 determines the corresponding target site type selection scheme of target construction according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after acquisition module 601 gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

In order to make it easy to understand, describing in detail below to the device for planning in the embodiment of the present invention, another embodiment for please referring to Fig. 7 device for planning provided in an embodiment of the present invention includes:

Module 701 is obtained, for obtaining the characteristic information of target construction；

First determining module 702, for determining target construction corresponding target scene classification in preset system according to the characteristic information for obtaining the acquisition of module 701, it include at least two scene types in preset system, and the corresponding scene information of each scene type and site type selection scheme, scene information it is corresponding with characteristic information；

Second determining module 703, the target scene classification for being determined according to the first determining module 702 determine the corresponding target site type selection scheme of target construction.

Wherein, obtaining module 701 includes:

Recognition unit 7011, for identifying target construction according to three-dimensional map information；

First computing unit 7012, the characteristic information of the target construction for calculating the identification of recognition unit 7011.

The characteristic information of the available target construction of module 701 is obtained in the embodiment of the present invention, first determining module 702 determines target construction corresponding target scene classification in preset system according to characteristic information, second determining module 703 determines the corresponding target site type selection scheme of target construction according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after acquisition module 701 gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, improving the realizability of scheme the embodiment of the invention provides the concrete mode that a kind of acquisition module 701 obtains the characteristic information of target construction.

Optionally, it is based on the corresponding embodiment of above-mentioned Fig. 7, three-dimensional map information may include surface structures high-level model or vector building distributed model, can also include other information, specifically this time be not construed as limiting.Based on different information, the process of recognition unit identification is also different, is described below for wherein several situations:

One, three-dimensional map information includes surface structures high-level model.

Referring to Fig. 8, when three-dimensional map information includes surface structures high-level model, recognition unit 7011 includes:

First determines subelement 70111, and for determining target area corresponding target grid in above ground structure high-level model, target area includes target construction；

Second determines subelement 70112, for determining that effective grid in target grid, effective grid are the grid that height is greater than the first preset thresholding；

Third determines subelement 70113, for determining the continuous grid of multiple groups in effective grid；

4th determines subelement 70114, for each group of continuous grid to be determined as a target construction.

Two, three-dimensional map information includes surface structures high-level model.

Referring to Fig. 9, when three-dimensional map information includes surface structures high-level model, recognition unit 7011 includes

11st determines subelement 70115, and for determining, corresponding closure line segment, target area include target construction in the horizontal plane for target area in vector building distributed model；

12nd determines subelement 70116, is closed line segment for determining that the multiple groups in closure line segment are connected, with And the independent closure line segment other than the closure line segment that is connected；

13rd determines subelement 70117, for each group of closure line segment that is connected to be determined as a target construction, and each is independently closed line segment and is determined as a target construction.

Three, three-dimensional map information includes face building high-level model and vector building distributed model.

Clearly refering to fig. 10, when three-dimensional map information includes face building high-level model and vector building distributed model, recognition unit 7011 includes:

Subelement 70118 is identified, for by the first building in the above ground structure high-level model identification object region, the target area to include the target construction；

Computation subunit 70119, for calculating the corresponding saturation degree of each first building；

17th determines subelement 701110, for determining that saturation degree described in first building is greater than the second building of the second preset thresholding, and each second building is determined as a target construction；

18th determines subelement 701111, for determining that saturation degree described in first building is less than the third building of the described second preset thresholding；

Subelement 701112 is split, obtains the 4th building for being split by the vector building distributed model to the third building, and each described 4th building is determined as a target construction.

The embodiment of the invention provides the modes of a variety of recognition units identification target construction, improve the flexibility of scheme.

Optionally, it is based on the corresponding embodiment of above-mentioned Fig. 6 or 7, it can also include other information that characteristic information, which may include information from objective pattern, terrestrial object information, markup information or telephone traffic characteristic information,.Based on different characteristic informations, device for planning determines that target scene class is different otherwise.Wherein several situations are introduced below.

One, characteristic information includes information from objective pattern.

Figure 11 is please referred to, another embodiment of device for planning includes: in the embodiment of the present invention

Module 1101 is obtained, for obtaining the characteristic information of target construction；

First determining module 1102, for determining target construction corresponding target scene classification in preset system according to the characteristic information for obtaining the acquisition of module 1101, it include at least two scene types in preset system, and the corresponding scene information of each scene type and site type selection scheme, scene information it is corresponding with characteristic information；

Second determining module 1103, the target scene classification for being determined according to the first determining module 1102 are true The corresponding target site type selection scheme of the building that sets the goal.

Wherein, obtaining module 1101 includes:

Recognition unit 11011, for identifying target construction according to three-dimensional map information；

First computing unit 11012, the characteristic information of the target construction for calculating the identification of recognition unit 11011.

First determining module 1102 includes:

First determination unit 11021, the first matching degree value between characteristic information scene information corresponding with scene type each in the preset system for determining the target construction；

Second determination unit 11022, for determining the corresponding target scene classification of maximum value in first matching degree value.

Optionally, information from objective pattern may include depth of building, number of floor levels, the floor area of building or saturation degree, and for different information, the calculation of the first computing unit 11012 is different, and wherein several ways are described below:

(1) depth of building.

If target construction is device for planning by the pattern-recognition of surface structures high level, the first computing unit 11012 may include:

4th determines subelement 110121, for being directed to each group of continuous grid, determines the maximum maximum value grid of height in the continuous grid of the group；

5th determines subelement 110122, for using the height of the maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.

If target construction is device for planning by vector building distribution model identification, the first computing unit may include:

14th determines subelement 110123, for using the maximum value of the corresponding connected closure line segment of the target construction or independent closure line segment height in vertical direction as the depth of building.

(2) number of floor levels.

First computing unit 11012 includes:

6th determines subelement 110124, and for the depth of building of the target construction to be obtained the corresponding number of floor levels of the target construction divided by single layer building height, single layer building height is default value.

(3) floor area of building.

If target construction is that device for planning is identified by above ground structure high-level model, the first computing unit 11012 may include:

7th determines subelement 110125, for being directed to each group of continuous grid, determines the first grid quantity of the continuous grid of the group；

8th determines subelement 110126, for the first grid quantity to be obtained the corresponding floor area of building of the continuous grid of the group multiplied by single grate area.

If target construction is device for planning by vector building distribution model identification, the first computing unit 11012 may include:

15th determines subelement 110127, for using the area of polygon composed by the corresponding independent closure line segment of the target construction as the floor area of building；

Or,

16th determines subelement 110128, for regarding the sum of the area of multiple polygons composed by the corresponding connected closure line segment of the target construction as the floor area of building.

(4) saturation degree.

First computing unit 11012 includes:

9th determines subelement 110129, for being directed to each group of continuous grid, determines the corresponding minimum circumscribed rectangle of the continuous grid of the group；

Tenth determines subelement 1101210, for the corresponding floor area of building of the continuous grid of the group to be obtained the corresponding saturation degree of the continuous grid of the group divided by the area of the minimum circumscribed rectangle.

(5) terrestrial object information

In the embodiment of the present invention, characteristic information can also include terrestrial object information, and three-dimensional map information further includes covered ground model, and the first computation subunit 11012 includes:

19th determines subelement 1101211, for determining at least one corresponding grid of the target construction；

20th determines subelement 1101212, for determining the corresponding second grid quantity of each terrestrial object information in the more than one terrestrial object information according to the covered ground model when at least one described grid including more than one terrestrial object information；

21st determines subelement 1101213, for using the corresponding maximum Target scalar information of second grid quantity as the terrestrial object information of the target construction.

(6) standard information.

In the embodiment of the present invention, characteristic information can also include markup information, and three-dimensional map information can also include punctual geo-objects marking model, and the first computing unit 11012 includes:

22nd determines subelement 1101214, for determining at least one corresponding grid of the target construction；

23rd determines subelement 1101215, for determining at least one markup information for including at least one described grid according to the punctual geo-objects marking model；

24th determines subelement 1101216, for using at least one described markup information as the markup information of the target construction.

The characteristic information of the available target construction of module 1101 is obtained in the embodiment of the present invention, first determining module 1102 determines target construction corresponding target scene classification in preset system according to characteristic information, second determining module 1103 determines the corresponding target site type selection scheme of target construction according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after acquisition module 1101 gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, the embodiment of the invention provides a kind of device for planning to determine target scene class otherwise, the realizability of scheme is improved.

Again, the embodiment of the invention provides the mode that a variety of device for planning calculate characteristic information, the flexibility of scheme is improved.

Two, characteristic information includes telephone traffic characteristic information.

Figure 12 is please referred to, another embodiment of device for planning includes: in the embodiment of the present invention

Module 1201 is obtained, for obtaining the characteristic information of target construction；

First determining module 1202, for determining target construction corresponding target scene classification in preset system according to the characteristic information for obtaining the acquisition of module 1201, it include at least two scene types in preset system, and the corresponding scene information of each scene type and site type selection scheme, scene information it is corresponding with characteristic information；

Second determining module 1203, the target scene classification for being determined according to the first determining module 1202 determine the corresponding target site type selection scheme of target construction.

Wherein, obtaining module 1201 includes:

Recognition unit 12011, for identifying target construction according to three-dimensional map information；

First computing unit 12012, the characteristic information of the target construction for calculating the identification of recognition unit 12011.

Telephone traffic characteristic information may include the telephone traffic ratio or telephone traffic timing curve on working day and day off in the embodiment of the present invention.

When telephone traffic characteristic information includes the telephone traffic ratio on working day and day off, scene information includes preset telephone traffic ratio, and the first determining module 1202 includes:

Third determination unit 12021, for determining the similarity of the corresponding telephone traffic ratio of the target construction and the corresponding preset telephone traffic ratio of each scene type by T detection mode；

4th determination unit 12022, for determining the corresponding target scene classification of maximum value similarity in the similarity.

When telephone traffic characteristic information includes the telephone traffic timing curve on working day and day off, scene information includes preset timing curve, and the first determining module 1202 includes:

5th determination unit 12023, for calculating the average distance between the corresponding telephone traffic timing curve of the target construction preset timing curve corresponding with each scene type by preset distance calculation, wherein, the preset distance calculation include between curve Euclidean distance calculation or slope of curve difference apart from calculation；

6th determination unit 12024, for determining the corresponding target scene classification of minimum value average distance in the average distance.

Optionally, in embodiments of the present invention, the first computing unit 12012 may include:

25th determines subelement 120121, is used for when determining in the presence of indoor cell associated with the target construction, using the corresponding telephone traffic characteristic information in the indoor cell as the traffic characteristic information of the target construction.

Or,

Search unit 120122, for searching for and the associated outdoor cell of the target construction and/or traffic grid when determining there is no when indoor cell associated with the target construction；

26th determines subelement 120123, for using the outdoor cell and/or the corresponding telephone traffic characteristic information of traffic grid as the traffic characteristic information of the target construction.

The characteristic information of the available target construction of module 1201 is obtained in the embodiment of the present invention, first determining module 1202 determines target construction corresponding target scene classification in preset system according to characteristic information, second determining module 1203 determines the corresponding target site type selection scheme of target construction according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after acquisition module 1201 gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, this hair embodiment, which provides another device for planning, determines target scene class otherwise, the flexibility of scheme is improved.

Three, characteristic information includes information from objective pattern and telephone traffic characteristic information.

Figure 13 is please referred to, another embodiment of device for planning includes: in the embodiment of the present invention

Module 1301 is obtained, for obtaining the characteristic information of target construction；

First determining module 1302, for determining target construction corresponding target scene classification in preset system according to the characteristic information for obtaining the acquisition of module 1301, it include at least two scene types in preset system, and the corresponding scene information of each scene type and site type selection scheme, scene information it is corresponding with characteristic information；

Second determining module 1303, the target scene classification for being determined according to the first determining module 1302 determine the corresponding target site type selection scheme of target construction.

Wherein, the first determining module 1302 includes:

Second computing unit 13021, for for each scene type in preset system, calculate the information from objective pattern of the target construction traffic characteristic information of corresponding second matching degree value and the target construction corresponding third matching degree value in the scene type in the scene type；

Third computing unit 13022, for the weighted average of the scene type to be calculated according to the first preset weighted value, second matching degree value, the second preset weighted value and the third degree matching value, the first preset weighted value is the corresponding weighted value of the pre-set information from objective pattern, and the second preset weighted value is corresponding second weighted value of the pre-set telephone traffic characteristic information；

7th determination unit 13023, for determining the maximum target scene classification of weighted average in the preset system.

The characteristic information of the available target construction of module 1301 is obtained in the embodiment of the present invention, first really Cover half block 1302 determines target construction corresponding target scene classification in preset system according to characteristic information, second determining module 1303 determines the corresponding target site type selection scheme of target construction according to target scene classification, wherein, include at least two scene types and the corresponding scene information of each scene type and site type selection scheme in preset system.That is the present invention can in advance in systems classify to building, and different site type selection schemes is provided for different classes of scene, after acquisition module 1301 gets the characteristic information of building, it can identify the scene where building in systems automatically, and match corresponding site type selection scheme.To solve the problems, such as that the network coverage is weak in building, user experience is promoted.

Secondly, device for planning combination telephone traffic characteristic information and information from objective pattern are classified and identified to building in the embodiment of the present invention, the accuracy of prediction classification is improved.

It is understood that the embodiment based on above-mentioned multiple device for planning, device for planning can also include:

Module is estimated, the site that the target site type selection scheme and preset addressing system for determining according to the second determining module determine carries out program results and estimates, and preset addressing system is the mode being addressed for the indoor and outdoor distribution situation of network index.

The device for planning in the embodiment of the present invention is described from the angle of functional module above, the device for planning in the embodiment of the present invention is introduced from the angle of hardware entities below, please refer to Figure 14, Figure 14 is a kind of device for planning structural schematic diagram provided in an embodiment of the present invention, the device for planning 1400 can generate bigger difference because configuration or performance are different, it may include one or more central processing units (central processing units, CPU) 1422 (such as, one or more processors) and memory 1432, the storage medium 1430 (such as one or more mass memory units) of one or more storage application programs 1442 or data 1444.Wherein, memory 1432 and storage medium 1430 can be of short duration storage or persistent storage.The program for being stored in storage medium 1430 may include one or more modules (diagram does not mark), and each module may include to the series of instructions operation in server.Further, central processing unit 1422 can be set to communicate with storage medium 1430, and the series of instructions operation in storage medium 1430 is executed on server 1400.

Device for planning 1400 can also include one or more power supplys 1426, one or more wired or wireless network interfaces 1450, one or more input/output interfaces 1458, and/or one or more operating systems 1441, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM etc..

The step as performed by device for planning can be based on device for planning shown in the Figure 14 in above-described embodiment Structure.Wherein, central processing unit 1422 specifically executes following steps:

Obtain the characteristic information of target construction；

Target construction corresponding target scene classification in preset system is determined according to characteristic information, includes that at least two scene types and the corresponding scene information of each scene type and site type selection scheme, scene information are corresponding with characteristic information in preset system；

The corresponding target site type selection scheme of target construction is determined according to target scene classification.

Optionally, in another embodiment of the embodiment of the present invention, processing implement body executes following steps:

Target construction is identified according to three-dimensional map information；

Calculate the characteristic information of target construction.

Optionally, in another embodiment of the embodiment of the present invention, characteristic information includes information from objective pattern, and processing implement body executes following steps:

Determine the first matching degree value between the characteristic information of target construction scene information corresponding with scene type each in preset system；

Determine the corresponding target scene classification of maximum value in the first matching degree value.

Optionally, in another embodiment of the embodiment of the present invention, three-dimensional map information includes above ground structure high-level model, and processing implement body executes following steps:

Determine target area corresponding target grid in above ground structure high-level model, target area includes target construction；

Determine that effective grid in target grid, effective grid are the grid that height is greater than the first preset thresholding；

Determine the continuous grid of multiple groups in effective grid；

Every group of continuous grid is determined as a target construction.

Optionally, in another embodiment of the embodiment of the present invention, information from objective pattern includes depth of building, and processing implement body executes following steps:

For every group of continuous grid, the maximum maximum value grid of height in the continuous grid of the group is determined；

Using the height of maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.

Optionally, in another embodiment of the embodiment of the present invention, information from objective pattern further includes number of floor levels, and processing implement body also executes the following steps:

The depth of building of target construction is obtained into the corresponding number of floor levels of target construction divided by single layer building height, single layer building height is default value.

Optionally, in another embodiment of the embodiment of the present invention, information from objective pattern includes the floor area of building, and processing implement body also executes the following steps:

For each group of continuous grid, the first grid quantity of the continuous grid of the group is determined；

First grid quantity is obtained into the corresponding floor area of building of the continuous grid of the group multiplied by single grate area.

Optionally, in another embodiment of the embodiment of the present invention, information from objective pattern further includes saturation degree, and processing implement body also executes the following steps:

For each group of continuous grid, the corresponding minimum circumscribed rectangle of the continuous grid of the group is determined；

The corresponding floor area of building of the continuous grid of the group is obtained into the corresponding saturation degree of the continuous grid of the group divided by the area of minimum circumscribed rectangle.

Optionally, in another embodiment of the embodiment of the present invention, three-dimensional map information includes vector building distributed model, and processing implement body also executes the following steps:

Determine that corresponding closure line segment, target area include target construction in the horizontal plane for target area in vector building distributed model；

It determines that the multiple groups in closure line segment are connected and is closed line segment, and the independent closure line segment other than the closure line segment that is connected；

The every group of closure line segment that is connected is determined as a target construction, and each is independently closed line segment and is determined as a target construction.

Optionally, in another embodiment of the embodiment of the present invention, characteristic information includes depth of building, and processing implement body also executes the following steps:

Using the maximum value of the corresponding connected closure line segment of target construction or independent closure line segment height in vertical direction as depth of building.

Optionally, in another embodiment of the embodiment of the present invention, characteristic information includes the floor area of building, using the area of polygon composed by the corresponding independent closure line segment of target construction as the floor area of building；

Or,

It regard the sum of the area of multiple polygons composed by the corresponding connected closure line segment of target construction as the floor area of building.

Optionally, in another embodiment of the embodiment of the present invention, three-dimensional map information includes above ground structure high-level model and vector building distributed model, and processing implement body also executes the following steps:

By the first building in above ground structure high-level model identification object region, target area includes mesh Mark building；

Calculate the corresponding saturation degree of each first building；

It determines that saturation degree is greater than the second building of the second preset thresholding in the first building, and each second building is determined as a target construction；

Determine that saturation degree is less than the third building of the second preset thresholding in the first building；

Third building is split by vector building distributed model to obtain the 4th building, and each the 4th building is determined as a target construction.

Optionally, in another embodiment of the embodiment of the present invention, characteristic information includes terrestrial object information；Three-dimensional map information includes covered ground model；Processing implement body also executes the following steps:

Calculate target construction characteristic information include:

Determine at least one corresponding grid of target construction；

When at least one grid including more than one terrestrial object information, the corresponding second grid quantity of each terrestrial object information in more than one terrestrial object information is determined according to ground overlay model；

Using the maximum Target scalar information of corresponding second grid quantity as the terrestrial object information of target construction.

Optionally, in another embodiment of the embodiment of the present invention, characteristic information includes markup information；Three-dimensional map information includes punctual geo-objects marking model；Processing implement body also executes the following steps:

Calculate target construction characteristic information include:

Determine at least one corresponding grid of target construction；

At least one markup information for including at least one grid is determined according to punctual geo-objects marking model；

Using at least one markup information as the markup information of target construction.

In conjunction with the first possible implementation of the third aspect of the embodiment of the present invention, in the 15th kind of possible implementation, characteristic information includes telephone traffic characteristic information.

Optionally, in another embodiment of the embodiment of the present invention, processing implement body is also executed the following steps:

When determining in the presence of indoor cell associated with target construction, using the corresponding telephone traffic characteristic information in indoor cell as the traffic characteristic information of target construction.

Optionally, in another embodiment of the embodiment of the present invention, processing implement body is also executed the following steps:

When determining there is no when indoor cell associated with target construction, search for and the associated outdoor cell of target construction and/or traffic grid；

Outdoor cell and/or the corresponding telephone traffic characteristic information of traffic grid is special as the traffic of target construction Reference breath.

Optionally, in another embodiment of the embodiment of the present invention, telephone traffic characteristic information includes the telephone traffic ratio on working day and day off；Scene information includes preset telephone traffic ratio；Processing implement body also executes the following steps:

Determine that target construction corresponding target scene classification in preset system includes: according to characteristic information

The similarity of the corresponding telephone traffic ratio of target construction and the corresponding preset telephone traffic ratio of each scene type is determined by T detection mode；

Determine the corresponding target scene classification of maximum value similarity in similarity.

Optionally, in another embodiment of the embodiment of the present invention, telephone traffic characteristic information includes the telephone traffic timing curve on working day and day off；Scene information includes preset telephone traffic timing curve；Processing implement body also executes the following steps:

The average distance between the corresponding telephone traffic timing curve of target construction preset timing curve corresponding with each scene type is calculated by preset distance calculation, wherein, preset distance calculation include between curve Euclidean distance calculation or slope of curve difference apart from calculation；

Determine the corresponding target scene classification of minimum value average distance in average distance.

Optionally, in another embodiment of the embodiment of the present invention, characteristic information includes information from objective pattern and telephone traffic characteristic information.Processing implement body also executes the following steps:

For each scene type in preset system, the information from objective pattern of the target construction traffic characteristic information of corresponding second matching degree value and target construction corresponding third matching degree value in the scene type in the scene type is calculated；

The weighted average of the scene type is calculated according to the first preset weighted value, the second matching degree value, the second preset weighted value and third degree matching value, first preset weighted value is the corresponding weighted value of pre-set information from objective pattern, and the second preset weighted value is corresponding second weighted value of pre-set telephone traffic characteristic information；

Determine the maximum target scene classification of weighted average in preset system.

Optionally, in another embodiment of the embodiment of the present invention, processor is also executed the following steps:

It carries out program results according to the site that target site type selection scheme and preset addressing system determine to estimate, preset addressing system is the mode being addressed for the indoor and outdoor distribution situation of network index.

In several embodiments provided herein, it should be understood that disclosed system, device and side Method may be implemented in other ways.Such as, the apparatus embodiments described above are merely exemplary, such as, the division of the unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed mutual coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit, can be electrical property, mechanical or other forms.

The unit as illustrated by the separation member may or may not be physically separated, and component shown as a unit may or may not be physical unit, it can and it is in one place, or may be distributed over multiple network units.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.

In addition, the functional units in various embodiments of the present invention may be integrated into one processing unit, it is also possible to each unit and physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.

If the integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product, can store in a computer readable storage medium.Based on this understanding, substantially all or part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products technical solution of the present invention in other words, the computer software product is stored in a storage medium, it uses including some instructions so that a computer equipment (can be personal computer, server or the network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), the various media that can store program code such as magnetic or disk.

The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although the present invention is described in detail referring to the foregoing embodiments, those skilled in the art should understand that: it is still possible 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, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.

Claims (47)

1. A kind of network site planing method characterized by comprising

   Obtain the characteristic information of target construction；

   The target construction corresponding target scene classification in preset system is determined according to the characteristic information, it include at least two scene types in the preset system, and the corresponding scene information of each scene type and site type selection scheme, the scene information it is corresponding with the characteristic information；

   The corresponding target site type selection scheme of the target construction is determined according to the target scene classification.
2. The method according to claim 1, wherein the characteristic information for obtaining target construction includes:

   The target construction is identified according to three-dimensional map information；

   Calculate the characteristic information of the target construction.
3. According to the method described in claim 2, it is characterized in that, the characteristic information includes information from objective pattern.
4. According to the method described in claim 3, it is characterized in that, described determine that the target construction corresponding target scene classification in preset system includes: according to the characteristic information

   Determine the first matching degree value between the characteristic information of target construction scene information corresponding with scene type each in the preset system；

   Determine the corresponding target scene classification of maximum value in first matching degree value.
5. According to the method described in claim 3, it is characterized in that, the three-dimensional map information includes above ground structure high-level model；

   It is described to identify that the target construction includes: according to three-dimensional map information

   Determine target area corresponding target grid in the above ground structure high-level model, the target area includes the target construction；

   Determine that effective grid in the target grid, effective grid are the grid that height is greater than the first preset thresholding；

   Determine the continuous grid of multiple groups in effective grid；

   Each group of continuous grid is determined as a target construction.
6. According to the method described in claim 5, the characteristic information for calculating the target construction according to the three-dimensional map information includes: it is characterized in that, the information from objective pattern includes depth of building

   For every group of continuous grid, the maximum maximum value grid of height in the continuous grid of the group is determined；

   Using the height of the maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.
7. According to the method described in claim 6, it is characterized in that, the information from objective pattern further includes number of floor levels, the characteristic information that the target construction is calculated according to the three-dimensional map information further include:

   The depth of building of the target construction is obtained into the corresponding number of floor levels of the target construction divided by single layer building height, single layer building height is default value.
8. The method according to the description of claim 7 is characterized in that the information from objective pattern includes the floor area of building, the characteristic information for calculating the target construction according to the three-dimensional map information includes:

   For each group of continuous grid, the first grid quantity of the continuous grid of the group is determined；

   The first grid quantity is obtained into the corresponding floor area of building of the continuous grid of the group multiplied by single grate area.
9. According to the method described in claim 8, it is characterized in that, the information from objective pattern further includes saturation degree, the characteristic information that the target construction is calculated according to the three-dimensional map information further include:

   For each group of continuous grid, the corresponding minimum circumscribed rectangle of the continuous grid of the group is determined；

   The corresponding floor area of building of the continuous grid of the group is obtained into the corresponding saturation degree of the continuous grid of the group divided by the area of the minimum circumscribed rectangle.
10. According to the method described in claim 3, it is characterized in that, the three-dimensional map information includes vector building distributed model；

    It is described to identify that the target construction includes: according to the three-dimensional map information

    Determine that corresponding closure line segment, the target area include the target construction in the horizontal plane for target area in the vector building distributed model；

    It determines that the multiple groups in the closure line segment are connected and is closed line segment, and the independent closure line segment other than the connected closure line segment；

    The closure line segment that will be connected described in each group is determined as a target construction, and each is independently closed line segment and is determined as a target construction.
11. According to the method described in claim 10, the characteristic information for calculating the target construction includes: it is characterized in that, the characteristic information includes depth of building

    The corresponding connected closure line segment of the target construction or independent closure line segment is high in vertical direction The maximum value of degree is as the depth of building.
12. According to the method for claim 11, which is characterized in that the characteristic information includes the floor area of building, and the characteristic information for calculating the target construction includes:

    Using the area of polygon composed by the corresponding independent closure line segment of the target construction as the floor area of building；

    Or,

    It regard the sum of the area of multiple polygons composed by the corresponding connected closure line segment of the target construction as the floor area of building.
13. According to the method described in claim 3, it is characterized in that, the three-dimensional map information includes above ground structure high-level model and vector building distributed model；

    It is described to identify that the target construction includes: according to three-dimensional map information

    By the first building in the above ground structure high-level model identification object region, the target area includes the target construction；

    Calculate the corresponding saturation degree of each first building；

    It determines that saturation degree described in first building is greater than the second building of the second preset thresholding, and each second building is determined as a target construction；

    Determine that saturation degree described in first building is less than the third building of the described second preset thresholding；

    The third building is split by the vector building distributed model to obtain the 4th building, and each described 4th building is determined as a target construction.
14. The method according to any one of claim 2 to 13, which is characterized in that the characteristic information includes terrestrial object information；The three-dimensional map information includes covered ground model；

    The characteristic information for calculating the target construction includes:

    Determine at least one corresponding grid of the target construction；

    When at least one described grid including more than one terrestrial object information, the corresponding second grid quantity of each terrestrial object information in the more than one terrestrial object information is determined according to the covered ground model；

    Using the corresponding maximum Target scalar information of second grid quantity as the terrestrial object information of the target construction.
15. The method according to any one of claim 2 to 13, which is characterized in that the characteristic information includes markup information；The three-dimensional map information includes punctual geo-objects marking model；

    The characteristic information for calculating the target construction includes:

    Determine at least one corresponding grid of the target construction；

    At least one markup information for including at least one described grid is determined according to the punctual geo-objects marking model；

    Using at least one described markup information as the markup information of the target construction.
16. According to the method described in claim 2, it is characterized in that, the characteristic information includes telephone traffic characteristic information.
17. According to the method for claim 16, which is characterized in that the characteristic information for calculating the target construction includes:

    When determining in the presence of indoor cell associated with the target construction, using the corresponding telephone traffic characteristic information in the indoor cell as the traffic characteristic information of the target construction.
18. According to the method for claim 17, which is characterized in that the method also includes:

    When determining there is no when indoor cell associated with the target construction, search for and the associated outdoor cell of the target construction and/or traffic grid；

    Using the outdoor cell and/or the corresponding telephone traffic characteristic information of traffic grid as the traffic characteristic information of the target construction.
19. Method described in any one of 6 to 18 according to claim 1, which is characterized in that the telephone traffic characteristic information includes the telephone traffic ratio on working day and day off；The scene information includes preset telephone traffic ratio；

    It is described to determine that the target construction corresponding target scene classification in preset system includes: according to the characteristic information

    The similarity of the corresponding telephone traffic ratio of the target construction and the corresponding preset telephone traffic ratio of each scene type is determined by T detection mode；

    Determine the corresponding target scene classification of maximum value similarity in the similarity.
20. Method described in any one of 6 to 18 according to claim 1, which is characterized in that the telephone traffic characteristic information includes the telephone traffic timing curve on working day and day off；The scene information includes preset telephone traffic timing curve；

    It is described to determine that the target construction corresponding target scene classification in preset system includes: according to the characteristic information

    The average distance between the corresponding telephone traffic timing curve of the target construction preset timing curve corresponding with each scene type is calculated by preset distance calculation, wherein, the preset distance calculation include between curve Euclidean distance calculation or slope of curve difference apart from calculation；

    Determine the corresponding target scene classification of minimum value average distance in the average distance.
21. Method according to claim 1 or 2, which is characterized in that the characteristic information includes information from objective pattern and telephone traffic characteristic information.
22. [correcting 16.11.2016 according to detailed rules and regulations 91]

    According to the method for claim 21, which is characterized in that described to determine that the target construction corresponding target scene classification in preset system includes: according to the characteristic information

    For each scene type in preset system, calculate the information from objective pattern of the target construction traffic characteristic information of corresponding second matching degree value and the target construction corresponding third matching degree value in the scene type in the scene type；

    The weighted average of the scene type is calculated according to the first preset weighted value, second matching degree value, the second preset weighted value and the third degree matching value, the first preset weighted value is the corresponding weighted value of the pre-set information from objective pattern, and the second preset weighted value is corresponding second weighted value of the pre-set telephone traffic characteristic information；

    Determine the maximum target scene classification of weighted average in the preset system.
23. According to claim 1 to method described in any one of 22, which is characterized in that described determined after the corresponding target site type selection scheme of the target construction according to the target scene classification include:

    The site determined according to the target site type selection scheme and preset addressing system carries out program results and estimates, the preset addressing system be for network index be mode that indoor and outdoor distribution situation is addressed.
24. A kind of device for planning characterized by comprising

    Module is obtained, for obtaining the characteristic information of target construction；

    First determining module, for determining the target construction corresponding target scene classification in preset system according to the characteristic information for obtaining module acquisition, it include at least two scene types in the preset system, and the corresponding scene information of each scene type and site type selection scheme, the scene information it is corresponding with the characteristic information；

    Second determining module, the target scene classification for being determined according to first determining module determine the corresponding target site type selection scheme of the target construction.
25. Device according to claim 24, which is characterized in that the acquisition module includes:

    Recognition unit, for identifying the target construction according to three-dimensional map information；

    First computing unit, the characteristic information of the target construction for calculating the recognition unit identification.
26. Device according to claim 25, which is characterized in that the characteristic information includes information from objective pattern.
27. Device according to claim 26, which is characterized in that first determining module includes:

    First determination unit, the first matching degree value between characteristic information scene information corresponding with scene type each in the preset system for determining the target construction；

    Second determination unit, for determining the corresponding target scene classification of maximum value in first matching degree value.
28. Device according to claim 26, which is characterized in that the three-dimensional map information includes above ground structure high-level model；

    The recognition unit includes:

    First determines subelement, and for determining target area corresponding target grid in the above ground structure high-level model, the target area includes the target construction；

    Second determines subelement, for determining that effective grid in the target grid, effective grid are the grid that height is greater than the first preset thresholding；

    Third determines subelement, for determining the continuous grid of multiple groups in effective grid；

    4th determines subelement, for each group of continuous grid to be determined as a target construction.
29. Device according to claim 28, which is characterized in that the information from objective pattern includes depth of building, and first computing unit includes:

    4th determines subelement, for being directed to each group of continuous grid, determines the maximum maximum value grid of height in the continuous grid of the group；

    5th determines subelement, for using the height of the maximum value grid as the depth of building of the corresponding target construction of the continuous grid of the group.
30. Device according to claim 29, which is characterized in that the information from objective pattern further includes number of floor levels, first computing unit further include:

    6th determines subelement, and for the depth of building of the target construction to be obtained the corresponding number of floor levels of the target construction divided by single layer building height, single layer building height is default value.
31. Device according to claim 28, which is characterized in that the information from objective pattern includes The floor area of building, first computing unit include:

    7th determines subelement, for being directed to each group of continuous grid, determines the first grid quantity of the continuous grid of the group；

    8th determines subelement, for the first grid quantity to be obtained the corresponding floor area of building of the continuous grid of the group multiplied by single grate area.
32. Device according to claim 31, which is characterized in that the information from objective pattern further includes saturation degree, first computing unit further include:

    9th determines subelement, for being directed to each group of continuous grid, determines the corresponding minimum circumscribed rectangle of the continuous grid of the group；

    Tenth determines subelement, for the corresponding floor area of building of the continuous grid of the group to be obtained the corresponding saturation degree of the continuous grid of the group divided by the area of the minimum circumscribed rectangle.
33. Device according to claim 26, which is characterized in that the three-dimensional map information includes vector building distributed model；

    The recognition unit includes:

    11st determines subelement, and for determining, corresponding closure line segment, the target area include the target construction in the horizontal plane for target area in the vector building distributed model；

    12nd determines subelement, is closed line segment for determining that the multiple groups in the closure line segment are connected, and the independent closure line segment other than the connected closure line segment；

    13rd determines subelement, and for will be connected described in each group, closure line segment is determined as a target construction, and each is independently closed line segment and is determined as a target construction.
34. Device according to claim 33, which is characterized in that the characteristic information includes depth of building, and first computing unit includes:

    14th determines subelement, for using the maximum value of the corresponding connected closure line segment of the target construction or independent closure line segment height in vertical direction as the depth of building.
35. Device according to claim 33, which is characterized in that the characteristic information includes the floor area of building, and first computing unit includes:

    15th determines subelement, for using the area of polygon composed by the corresponding independent closure line segment of the target construction as the floor area of building；

    Or,

    16th determines subelement, for regarding the sum of the area of multiple polygons composed by the corresponding connected closure line segment of the target construction as the floor area of building.
36. Device according to claim 26, which is characterized in that the three-dimensional map information includes above ground structure high-level model and vector building distributed model；

    The recognition unit includes:

    Subelement is identified, for by the first building in the above ground structure high-level model identification object region, the target area to include the target construction；

    Computation subunit, for calculating the corresponding saturation degree of each first building；

    17th determines subelement, for determining that saturation degree described in first building is greater than the second building of the second preset thresholding, and each second building is determined as a target construction；

    18th determines subelement, for determining that saturation degree described in first building is less than the third building of the described second preset thresholding；

    Subelement is split, obtains the 4th building for being split by the vector building distributed model to the third building, and each described 4th building is determined as a target construction.
37. The device according to any one of claim 25 to 36, which is characterized in that the characteristic information includes terrestrial object information；The three-dimensional map information includes covered ground model；

    First computing unit includes:

    19th determines subelement, for determining at least one corresponding grid of the target construction；

    20th determines subelement, for determining the corresponding second grid quantity of each terrestrial object information in the more than one terrestrial object information according to the covered ground model when at least one described grid including more than one terrestrial object information；

    21st determines subelement, for using the corresponding maximum Target scalar information of second grid quantity as the terrestrial object information of the target construction.
38. The device according to any one of claim 25 to 36, which is characterized in that the characteristic information includes markup information；The three-dimensional map information includes punctual geo-objects marking model；

    First computing unit includes:

    22nd determines subelement, for determining at least one corresponding grid of the target construction；

    23rd determines subelement, for determining at least one markup information for including at least one described grid according to the punctual geo-objects marking model；

    24th determines subelement, for using at least one described markup information as the markup information of the target construction.
39. Device according to claim 25, which is characterized in that the characteristic information includes telephone traffic characteristic information.
40. Device according to claim 39, which is characterized in that first computing unit includes:

    25th determines subelement, is used for when determining in the presence of indoor cell associated with the target construction, using the corresponding telephone traffic characteristic information in the indoor cell as the traffic characteristic information of the target construction.
41. Device according to claim 40, which is characterized in that described device further include:

    Search unit, for searching for and the associated outdoor cell of the target construction and/or traffic grid when determining there is no when indoor cell associated with the target construction；

    26th determines subelement, for using the outdoor cell and/or the corresponding telephone traffic characteristic information of traffic grid as the traffic characteristic information of the target construction.
42. The device according to any one of claim 39 to 41, which is characterized in that the telephone traffic characteristic information includes the telephone traffic ratio on working day and day off；The scene information includes preset telephone traffic ratio；

    First determining module includes:

    Third determination unit, for determining the similarity of the corresponding telephone traffic ratio of the target construction and the corresponding preset telephone traffic ratio of each scene type by T detection mode；

    4th determination unit, for determining the corresponding target scene classification of maximum value similarity in the similarity.
43. The device according to any one of claim 39 to 41, which is characterized in that the telephone traffic characteristic information includes the telephone traffic timing curve on working day and day off；The scene information includes preset telephone traffic timing curve；

    First determining module includes:

    5th determination unit, for calculating the average distance between the corresponding telephone traffic timing curve of the target construction preset timing curve corresponding with each scene type by preset distance calculation, wherein, the preset distance calculation include between curve Euclidean distance calculation or slope of curve difference apart from calculation；

    6th determination unit, for determining the corresponding target scene classification of minimum value average distance in the average distance.
44. The device according to claim 24 or 25, which is characterized in that the characteristic information includes information from objective pattern and telephone traffic characteristic information.
45. Device according to claim 44, which is characterized in that first determining module includes:

    Second computing unit, for for each scene type in preset system, calculate the information from objective pattern of the target construction traffic characteristic information of corresponding second matching degree value and the target construction corresponding third matching degree value in the scene type in the scene type；

    Third computing unit, for the weighted average of the scene type to be calculated according to the first preset weighted value, second matching degree value, the second preset weighted value and the third degree matching value, the first preset weighted value is the corresponding weighted value of the pre-set information from objective pattern, and the second preset weighted value is corresponding second weighted value of the pre-set telephone traffic characteristic information；

    7th determination unit, for determining the maximum target scene classification of weighted average in the preset system.
46. The device according to any one of claim 24 to 45, which is characterized in that described device further include:

    Module is estimated, the site that the target site type selection scheme and preset addressing system for determining according to second determining module determine carries out program results and estimates, and the preset addressing system is the mode being addressed for the indoor and outdoor distribution situation of network index.
47. A kind of device for planning characterized by comprising processor and memory；

    The memory is for storing program；

    The processor is used to execute the program in the memory, specifically comprises the following steps:

    Obtain the characteristic information of target construction；

    The target construction corresponding target scene classification in preset system is determined according to the characteristic information, it include at least two scene types in the preset system, and the corresponding scene information of each scene type and site type selection scheme, the scene information it is corresponding with the characteristic information；

    The corresponding target site type selection scheme of the target construction is determined according to the target scene classification.