CN111369085A

CN111369085A - Method and device for identifying networking value area

Info

Publication number: CN111369085A
Application number: CN201811588776.4A
Authority: CN
Inventors: 秦博; 赵金花; 曾峰
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd; Beijing Huawei Digital Technologies Co Ltd
Priority date: 2018-12-25
Filing date: 2018-12-25
Publication date: 2020-07-03

Abstract

A method and a device for identifying a networking value area are used for solving the problem that a big data analysis method cannot be adopted for identifying the value area in an emerging market. The method comprises the following steps: the method comprises the steps of obtaining a vectorization map of a target area, and dividing the vectorization map into a plurality of micro-grid areas. Then, for each micro-grid area, building information included in the micro-grid area is determined, and the value grade of the micro-grid area is determined according to the building information included in the micro-grid area.

Description

Method and device for identifying networking value area

Technical Field

The application relates to the technical field of computers, in particular to a method and a device for identifying a networking value area.

Background

When an operator invests in network establishment, the investment cost in the early stage is huge, in order to improve the return on investment efficiency, accurate network establishment planning needs to be realized, and the site selection of network establishment is a key point for realizing the accurate network establishment planning, so that the operator needs to accurately identify an area with higher network establishment value, namely the value area of network establishment needs to be accurately identified.

The existing value area identification method is mainly based on a big data analysis method, namely, the value area of the established network is identified through the acquired information such as the room price, the travel data, the shopping consumption data and the like. However, for emerging markets, information is not developed, and it is difficult to acquire information data such as house price, travel data, and shopping consumption data, and thus a value area cannot be identified by a big data analysis method.

Disclosure of Invention

The application provides a method and a device for identifying a networking value area, which are used for solving the problem that a big data analysis method cannot be adopted for identifying the value area in an emerging market.

In a first aspect, the present application provides a method for identifying a networking value area, including: the method comprises the steps of obtaining a vectorization map of a target area, and dividing the vectorization map into a plurality of micro-grid areas. Then, for each micro-grid area, building information included in the micro-grid area is determined, and the value grade of the micro-grid area is determined according to the building information included in the micro-grid area. According to the method and the device, the target area is divided into the plurality of micro-grid areas, and then the networking value grade of each micro-grid area is judged by analyzing the building information in each micro-grid area, so that an operator can determine the micro-grid area with higher value grade as the value area, and further, the network is established in the area corresponding to the micro-grid area with higher value grade. For example, since an operator generally tends to establish a network in a residential area, the present application can determine the value level of each micro grid area by analyzing building information in the micro grid area to determine whether or not the building in the micro grid area is a residential building, and the value level of the micro grid area with many residential buildings is high. For another example, operators generally prefer to build networks in villa areas, so the present application can determine whether residential buildings in the micro-grid are villa buildings or grotto buildings by analyzing the building information in each micro-grid area, to determine the value level of the micro-grid area, the value level of the micro-grid area where the villa building is located is higher, and the like.

In one possible design, when determining the value rank of the micro grid area based on the building information included in the micro grid area, the average area of the buildings in the micro grid area may be compared with the building average area threshold value of each value rank to determine the reference value rank of the micro grid area. Then, analyzing the building information included in the micro-grid area to obtain an index set of the micro-grid area, wherein the index set includes one or more of the following indexes: the micro-grid area comprises the number of buildings, the building density of the micro-grid area, the average height of the buildings in the micro-grid area, the loose coefficient of the buildings in the micro-grid area, the building uniformity in the micro-grid area and the street-contacting rate of the buildings in the micro-grid area. And adjusting the reference value grade of the micro-grid area based on the index set to obtain the final value grade of the micro-grid area.

According to the design, the accuracy of identifying the networking value area can be improved by considering a plurality of indexes obtained based on the building information, and the investment return efficiency of an operator can be improved.

In one possible design, the reference value level of the micro grid region may be adjusted M times based on N indicators of the set of indicators, where N is the number of indicators included in the set of indicators, and M is less than or equal to N.

In a possible design, if M is smaller than N, in the adjustment process of the jth index group, if the jth index group meets the corresponding upgrade rule, the reference value grade obtained by adjusting the microtell area for the jth-1 th time is upgraded by a value grade, and j is a positive integer no greater than M. And if the jth index group meets the corresponding degradation rule, reducing the reference value grade obtained by adjusting the microtell area for the jth-1 th time by one value grade, wherein the jth index group comprises one or more indexes in the index set. In the design, the value grade determined by adjusting the value grade of the micro-grid based on each index of the building in the micro-grid is more accurate, so that the accuracy of identifying the networking value area can be improved, and the investment return efficiency of an operator can be improved.

In a possible design, M is equal to N, in the ith adjustment process, if the ith index of the index set meets the corresponding upgrade rule, the reference value grade obtained by the adjustment of the micro grid area for the (i-1) th time is upgraded by a value grade, and i is taken as a positive integer not greater than N. And if the ith index of the index set meets the corresponding degradation rule, reducing the reference value grade obtained by the micro-grid area through the adjustment for the (i-1) th time by one value grade. In the design, the value grade determined by adjusting the value grade of the micro-grid based on each index of the building in the micro-grid is more accurate, so that the accuracy of identifying the networking value area can be improved, and the investment return efficiency of an operator can be improved.

In one possible design, the non-residential building information included in the micro-grid area may be filtered out before determining the value rating of the micro-grid area. Since operators tend to build networks in residential areas, it is more accurate for the operators to screen out non-residential building information and determine the value rating.

In one possible design, when the non-residential building information included in the micro grid area is screened out, the geographic coordinates of the interest points in the target area, which are buildings marked as non-residential buildings, and the geographic coordinate range of the interest areas, which are areas marked as non-residential areas, may be obtained. And screening out buildings included in the micro-grid area and located at the geographic coordinate of the interest point and buildings located in the geographic coordinate range of the interest area. In the design, the information of the non-residential buildings in the micro-grid can be screened out more accurately through the interest points and interest areas in the target area marked in the GIS map.

In one possible design, when the vectorized map is divided into a plurality of micro-grid regions, the intersection points of the roads in the vectorized map may be determined. And determining the topological structure of the road based on the road intersection points in the vectorized map. And for each road intersection point, determining a minimum closed loop where the road intersection point is located based on the topological structure of the road, wherein a closed area formed by one minimum closed loop is a micro-grid area. In the design, the roads are used as boundaries to divide the micro grids, so that the regional form can be well maintained, and the requirements of operators can be better met.

In one possible design, after determining the building information included in the micro-grid area, if the area of the closed area formed by the minimum closed loop is greater than a micro-grid area threshold, clustering may be performed based on the distance between the buildings in the closed area, so as to obtain several building clusters. And further dividing the closed area based on the plurality of building groups to obtain a plurality of micro-grid areas, wherein the area where one building group is located is one micro-grid area. The overlarge area of the micro-grid region may be caused by the road information missing in the micro-grid, and in the design, the micro-grid region with the overlarge area is clustered based on the distance between buildings, so that the region with the road information missing can be divided into the micro-grid regions with smaller strength, and the identification precision can be improved.

In one possible design, when the vectorized map of the target area is obtained, a Geographic Information System (GIS) map of the target area may be obtained, and the GIS map is vectorized to obtain the vectorized map. When determining the building information included in the micro-grid area, the building information included in the micro-grid area may be determined based on the geographic coordinates of the buildings in the GIS map and the geographic coordinate range of the micro-grid area. In the design, the buildings in the GIS map are associated with the micro-grid areas, so that the building information included in the micro-grid areas can be accurately determined.

In a second aspect, the present application provides a device for identifying a networking value area, including: the acquisition unit is used for acquiring a vectorization map of a target area; the dividing unit is used for dividing the vectorized map acquired by the acquiring unit into a plurality of micro-grid areas; a first determination unit configured to determine, for each of the micro-grid areas divided by the division unit, building information included in the micro-grid area; and a second determination unit which determines the value grade of the micro-grid area according to the building information included in the micro-grid area determined by the first determination unit.

In a possible design, the second determining unit may be specifically configured to: comparing the average area of the buildings in the micro-grid area with the building average area threshold value of each value grade, and determining the reference value grade of the micro-grid area; analyzing the building information included in the micro-grid area to obtain an index set of the micro-grid area, wherein the index set comprises one or more of the following indexes: the micro-grid area comprises the number of buildings, the building density of the micro-grid area, the average area of the buildings in the micro-grid area, the average height of the buildings in the micro-grid area, the loose coefficient of the buildings in the micro-grid area, the regularity of the buildings in the micro-grid area and the presence rate of the buildings in the micro-grid area; and adjusting the reference value grade of the micro-grid area based on the index set to obtain the final value grade of the micro-grid area.

In one possible design, the device may further comprise a screening unit. The screening unit is used for screening out the non-residential building information included in the micro-grid area before determining the value grade of the micro-grid area.

In one possible design, the screening unit may be specifically configured to: acquiring a geographic coordinate of a point of interest in the target area and a geographic coordinate range of an area of interest, wherein the point of interest is a building marked as a non-residential building, and the area of interest is an area marked as a non-residential area; and screening out buildings included in the micro-grid area and located at the geographic coordinate of the interest point and buildings located in the geographic coordinate range of the interest area.

In one possible design, the dividing unit may be specifically configured to: determining road intersections in the vectorized map; determining a topological structure of a road based on road intersection points in the vectorized map; and for each road intersection point, determining a minimum closed loop where the road intersection point is located based on the topological structure of the road, wherein a closed area formed by one minimum closed loop is a micro-grid area.

In one possible design, the apparatus may further include a clustering unit; the clustering unit is used for clustering based on the distance between the buildings in the closed area to obtain a plurality of building clusters if the area of the closed area formed by the minimum closed loop is larger than a micro-grid area threshold value after the building information included in the micro-grid area is determined; the dividing unit may be further configured to: and further dividing the closed area based on the plurality of building groups to obtain a plurality of micro-grid areas, wherein the area where one building group is located is one micro-grid area.

In a possible design, the obtaining unit may be specifically configured to: acquiring a Geographic Information System (GIS) map of the target area; and carrying out vectorization processing on the GIS map to obtain the vectorized map. The first determining unit, when determining the building information included in the micro grid area, may specifically be configured to: and determining building information included in the micro-grid area based on the geographic coordinates of the buildings in the GIS map and the geographic coordinate range of the micro-grid area.

In a third aspect, the present application provides a networking value area identification apparatus, where the apparatus includes a processor, a memory, a communication interface, and a bus, where the processor, the memory, and the communication interface are coupled via the bus and perform communication with each other, the memory is used to store computer-executable instructions, and when the apparatus is running, the processor executes the computer-executable instructions in the memory to perform the operation steps of the method in the first aspect or any possible implementation manner of the first aspect by using hardware resources in the apparatus.

In a fourth aspect, the present application provides a computer-readable storage medium having stored therein instructions, which, when executed on a computer, cause the computer to perform the method of the first aspect or any one of the possible implementations of the first aspect.

In a fifth aspect, the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect or any one of the possible implementations of the first aspect.

The present application can further combine to provide more implementations on the basis of the implementations provided by the above aspects.

Drawings

FIG. 1A is a schematic representation of a value rating provided by an embodiment of the present application;

fig. 1B is a flowchart of a method for identifying a networking value area according to an embodiment of the present application;

fig. 2 is a schematic diagram of a vectorized map provided in an embodiment of the present application;

fig. 3 is a schematic view of a topology of a road segment according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a minimum closed loop provided by an embodiment of the present application;

fig. 5 is a schematic diagram of a building associated with a micro-grid area according to an embodiment of the present application;

FIG. 6 is a diagram illustrating an index set according to an embodiment of the present disclosure;

FIG. 7A is a schematic flow chart illustrating a process for determining a value rating of a micro-grid area according to an embodiment of the present application;

FIG. 7B is a schematic diagram of another process for determining a value rating of a micro-grid area according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of a networking value area identification apparatus according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of a networking value area identification device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

The national regions of emerging markets (emerging market, EM) are large, the population and building distribution is uneven, and in the early stage of commercial planning, a network building analysis needs to be performed on one country or even a subdivided segment to find out a potential network building high-value region for value network building.

When an operator invests and establishes a network, the investment Cost (CAPEX) investment in the early stage is huge, and in order to improve the investment return efficiency of the operator, realize accurate network establishment planning and guide the success of business, the operator must be helped to solve two problems: where to build a network, i.e., where to build a value area; and how to build the network, i.e., what technology to implement cost optimization. The existing method for identifying the networking value area is mainly based on a big data analysis method, namely, the networking value area is identified through the acquired information such as room price, travel data, shopping consumption data and the like. In areas with developed information, information such as house price, travel data, shopping consumption data and the like can be easily acquired from multiple parties. The operator can establish value dimension analysis according to the information and find out a high-value networking value area. However, the Emerging Market (EM) has a low broad-band popularization rate and is not well-developed in informatization, and it is difficult to acquire information data such as house price, travel data, shopping consumption data, and the like, and thus a value area cannot be identified by a large data analysis method.

Based on this, the embodiment of the application provides a method and a device for identifying a networking value area, in which a target area is divided into a plurality of micro-grid areas, and then the networking value level of each micro-grid area is determined by analyzing buildings in each micro-grid area, so that an operator can determine the micro-grid area with a higher value level as a value area, and then a network is established in the area corresponding to the micro-grid area with the higher value level. For example, the value ranks of the micro-grid area may be divided into four, in order from high to low: the method comprises the steps of single villa, united villas/poor single villas, good houses in the impoverished and poor houses in the impoverished, and the value grade of each micro-grid area is judged by analyzing buildings in the micro-grid areas in the embodiment of the application, such as 1A, so that an operator can select the area for networking according to needs, such as selecting the area for networking in the villa and the like.

The plural in the present application means two or more. Reference to at least one in this application means one, or more than one, i.e. including one, two, three and more.

In addition, it is to be understood that the terms first, second, etc. in the description of the present application are used for distinguishing between the descriptions and not necessarily for describing a sequential or chronological order.

The method for identifying a networking value area provided by the embodiment of the application is described below with reference to the accompanying drawings.

Referring to fig. 1B, a method flowchart of the method for identifying a networking value area provided by the present application is shown. The method comprises the following steps:

and S101, acquiring a vectorization map of the target area. Wherein the target area may be an area to be networked.

In one implementation, the vectorized map may be obtained by: first, a Geographic Information System (GIS) map of the target area is obtained. And then carrying out vectorization processing on the GIS map to obtain the vectorized map. The GIS map is vectorized to extract the outline of the building and the road line segment, wherein the outline of the building reserves the longitude and latitude information of the building, and the road line reserves the longitude and latitude information of the road line segment. As shown in fig. 2.

And S102, dividing the vectorization map into a plurality of micro-grid areas. Because the building outline, the road route segment and the like in the vectorization map are independent individuals, the independent individuals in the vectorization map can be associated to form an area through the step S102, and therefore the networking value analysis can be performed by taking the area as a whole.

In one implementation, the vectorized map may be divided into several micro-grid regions by the following steps a1 to a 2:

and A1, breaking the road segments in the vectorized map to generate a topology connected with the points. For example, the intersection of road segments may be determined, from which the break is made, resulting in a topology of points connected with points. Illustratively, a road segment in the vectorized map may be broken through a GIS algorithm, that is, for each road segment, a point where the longitude and latitude information of the road segment is the same as that of other road segments is determined, and the point where the longitude and latitude information is the same is an intersection of the road segment and other road segments. As shown in fig. 3.

And A2, for each intersection point, determining the minimum closed loop where the intersection point is located based on the topological structure, wherein a closed area formed by one minimum closed loop is a microlattice area. In a specific implementation, for each intersection point, taking the intersection point as a starting point, starting from the starting point, and finally returning to the starting point along the road segment, a closed loop may be obtained, where the shortest path of the closed loop is the minimum closed loop. As shown in fig. 4, the S region is a minimum closed loop with the intersection point a as a starting point.

S103, determining the building information included in each micro-grid area.

In specific implementation, the buildings and the micro-grid regions can be associated by combining the longitude and latitude information of each building in the GIS map and the longitude and latitude information of each micro-grid region in the vectorized map, so that the building information contained in the micro-grid regions is determined. As shown in fig. 5.

The types of buildings in the micro-grid area are various, including factories, schools, shopping malls and the like, and if operators tend to build networks in residential areas, the non-residential building information included in the micro-grid area can be screened out after determining the building information included in the micro-grid area.

One implementation manner may be to first obtain the geographic coordinates of a point of interest (POI) in the target area and the geographic coordinate range of an area of interest (AOI). Buildings included in the micro-grid area that are located at the geographic coordinates of the point of interest and buildings that are located within the geographic coordinates of the area of interest are then screened out. The interest point is a building which is marked as a non-residential building, the non-residential building can be but is not limited to a hotel, a factory, a school, a shopping mall and the like, the interest area is an area which is marked as a non-residential area, the area of the non-residential area can be but is not limited to a business area, an industrial area and the like, and the geographic coordinate can refer to longitude and latitude. For example, the geographic coordinates of the POI and the geographic coordinate range of the AOI may be obtained in the GIS, or may be obtained from a third party.

In another implementation, the determination of whether the building belongs to the non-residential category may be based on the height of the building. For example, if the height of the residential building in the target area is mostly lower than the height of the non-residential building, a height threshold value may be determined according to the residential building in the target area, and if the height is greater than the height threshold value, the residential building is determined, otherwise, the residential building is determined. Thus, buildings with heights greater than the threshold in the micro-grid area can be screened out.

In another implementation, whether the building belongs to the non-residential category can be judged according to the area of the building. For example, if the area of the residential building in the target area is mostly smaller than the area of the non-residential building, a residential area threshold value may be determined from the residential buildings in the target area, and if the area is larger than the residential area threshold value, the residential building may be determined as the non-residential building, otherwise the residential building may be determined. Thus, buildings in micro-grid areas having an area greater than the residential area threshold may be screened out.

In addition, whether the building belongs to the non-residential category can be judged according to the shape topology. For example, if the shape of the residential building in the target area is mostly regular, an irregularity coefficient threshold value may be determined according to the residential building in the target area, and if the irregularity coefficient of the building is greater than the irregularity coefficient threshold value, the building may be determined as a non-residential building, otherwise, the building may be determined as a residential building. Therefore, buildings with irregular coefficients larger than the irregular coefficient threshold value in the micro-grid area can be screened out.

Of course, other methods may be used to screen out non-residential buildings in the micro-grid, and are not listed here.

S104, determining the value grade of the micro-grid area according to the building information included in the micro-grid area.

In a possible implementation manner, after determining the building information included in the micro-grid area and before determining the value grade of the micro-grid area, the closed areas with areas larger than the micro-grid area threshold value in all the closed areas obtained in step S102 may be further divided. In a specific implementation, for any closed region with an area larger than the micro-grid area threshold, clustering may be performed based on the distance between the buildings in the closed region, so as to obtain a plurality of building groups. And further dividing the closed area based on the plurality of building groups to obtain a plurality of micro-grid areas, wherein the area where one building group is located is one micro-grid area.

In a specific implementation, determining the value grade of the micro-grid area according to the building information included in the micro-grid area can be realized through the following steps B1 to B3:

and B1, comparing the average area of the buildings in the micro-grid area with the building average area threshold value of each value grade, and determining the reference value grade of the micro-grid area.

B2, analyzing the building information included in the micro-grid area to obtain an index set of the micro-grid area, wherein the index set includes one or more of the following indexes: the micro-grid area comprises the number of buildings, the building density of the micro-grid area, the average height of the buildings in the micro-grid area, the loose coefficient of the buildings in the micro-grid area, the building uniformity in the micro-grid area and the street-contacting rate of the buildings in the micro-grid area. As shown in fig. 6.

Wherein, the building density of the micro-grid area can be: the sum of the areas of the buildings in the micro-grid area divided by the ratio of the areas of the micro-grid area.

The average area of the building in the micro-grid area may be: the sum of the areas of the buildings in the micro-grid area divided by the ratio of the number of buildings in the micro-grid area.

The average height of the buildings in the micro-grid area may be: the sum of the heights of the buildings in the micro-grid area divided by the ratio of the number of buildings in the micro-grid area.

The coefficient of looseness of the building in the micro-grid area may be: the number of independent non-adjacent buildings in the micro-grid area divided by the number of all buildings in the micro-grid area. For example, if the floor distances between a certain building and other buildings are greater than a floor distance threshold value, the building may be determined to be an independent non-adjacent building, and otherwise, the building may not be an independent non-adjacent building.

The street-present rate of buildings in the micro-grid area may be: the ratio of the number of buildings on street in the micro-grid area divided by the number of all buildings in the micro-grid area. The buildings that are located near the street may be determined based on the distance between the buildings and the road, for example, if the distance between the buildings and the road is greater than the road distance threshold, it may be determined that the building is an independent non-adjacent building, otherwise, it may be determined that the building is not an independent non-adjacent building.

The building uniformity in the micro-grid area may be: building integrity in micro-grid areas is measured. For example, the building uniformity in the micro-grid region may be determined by a pre-trained calculation model, wherein the calculation model may be pre-trained based on a sample database, and the sample database may include several sample regions and the building uniformity corresponding to each sample region.

And B3, respectively adjusting the reference value grade of the micro-grid area for M times based on N indexes included in the index set to obtain the final value grade of the micro-grid area, wherein N is the number of the indexes included in the index set, and M is less than or equal to N.

In one implementation, M is equal to N, and step B3 can be implemented as follows: in the ith adjustment process, if the ith index of the index set meets the upgrading rule corresponding to the reference value grade obtained through the ith-1 adjustment, the reference value grade obtained through the ith-1 adjustment of the micro-grid area is upgraded by one value grade, and the i is taken as a positive integer not greater than N. And if the ith index of the index set meets the degradation rule corresponding to the reference value grade obtained through the adjustment of the (i-1) th time, reducing the reference value grade obtained through the adjustment of the (i-1) th time of the micro-grid area by one value grade.

And taking the ith index as the average height of the buildings in the micro-grid area, and assuming that the higher the average height of the buildings in the micro-grid area is, the higher the value grade is. In an exemplary illustration, in the ith adjustment process, if the average height of the buildings in the micro-grid area is less than the first height threshold, the reference value level of the micro-grid area obtained through the ith-1 adjustment is reduced by one value level. And if the average height of the buildings in the micro-grid area is larger than a second height threshold value, improving the reference value grade obtained by adjusting the micro-grid area for the (i-1) th time by one value grade. And if the first height threshold value is not more than the average height of the buildings in the micro-grid area and not more than the second height threshold value, keeping the reference value grade obtained by the i-1 th adjustment. The first height threshold is a height threshold in the downgrading rule corresponding to the reference value grade obtained through the adjustment for the (i-1) th time, and the second height threshold is a height threshold in the upgrading rule corresponding to the reference value grade obtained through the adjustment for the (i-1) th time.

In one implementation, M is less than N, and step B3 can be implemented as follows: in the adjustment process of the jth time, if the jth index group meets the upgrading rule corresponding to the reference value grade obtained through the adjustment of the jth-1 time, the reference value grade obtained through the adjustment of the jth-1 time of the micro-grid area is upgraded by a value grade, and j is a positive integer not larger than M. And if the jth index group meets the degradation rule corresponding to the reference value grade obtained through the adjustment of the jth-1 th time, reducing the reference value grade obtained through the adjustment of the jth-1 th time of the micro-grid area by one value grade. Wherein the jth index group includes one or more indices in the index set.

Taking the j-th index group including the average height H of the buildings in the micro grid area and the street probability G of the buildings in the micro grid area as an example, in the j-th adjustment process, if H > H1 and G > G1, where H1 and G1 are thresholds of the reference value grade obtained through the j-1 th adjustment corresponding to the upgrade rule, the reference value grade obtained through the j-1 th adjustment of the micro grid area is improved by one value grade. And if H < H2 and G < G2, wherein H2 and G2 are thresholds of the reference value grades obtained by adjusting the (j-1) th time corresponding to the degradation rules, reducing the reference value grades obtained by adjusting the (j-1) th time of the micro-grid area by one value grade.

Taking the example that the jth index group includes the building density M of the micro-grid area and the loose coefficient L of the building in the micro-grid area, an exemplary description is that, in the jth adjustment process, if M is less than or equal to M1 and L is greater than or equal to L1, where M1 and L1 are thresholds of the upgrading rules corresponding to the reference value grade obtained through the jth-1 adjustment, and the reference value grade obtained through the jth-1 adjustment of the micro-grid area is improved by one value grade. And if M < M2 and L < L2, wherein M2 and L2 are the thresholds of the reference value grades obtained by adjusting the (j-1) th time corresponding to the degradation rules, reducing the reference value grades obtained by adjusting the (j-1) th time of the micro-grid area by one value grade.

An exemplary illustration, price level adjustments may be made only for micro-grid regions having a reference value level less than a level threshold. For example, the value ranks are classified into A, B, C, D, in which no value rank adjustment is performed for the micro-grid regions of the a and B ranks, and a value rank adjustment is performed for the micro-grid region of the C, D rank.

Further, when the value level of the C, D-level micro-grid area is adjusted, the C-level micro-grid area may be subjected to degradation processing based on the index set, and the D-level micro-grid area may be subjected to upgrade processing based on the index set.

For better understanding of the embodiment of the present application, the process of step S104 is described in detail below with reference to a specific application scenario. In an actual application scenario, buildings can be divided into four types, and the four types are sequentially as follows according to the order of value grades from high to low: single villas, allied villas/poorer single villas, good houses in the impoverished, poorer houses in the impoverished. Therefore, the value classes can be divided into 4 classes, which are a, B, C and D in sequence from high to low, wherein most buildings in the class a area are single villas, most buildings in the class B area are allied villas/poor single villas, most buildings in the class C area are good houses in the impoverished, and most buildings in the class D area are poor houses in the impoverished, as shown in fig. 1A.

A process for determining the value rating of a microlattice area is described below using a microlattice area as an example, and is illustrated in fig. 7A. It should be understood that fig. 7A is only an exemplary illustration, and does not specifically limit the division of the value ranks, the number and types of indexes included in the index set, the adjustment order, the promotion rule, the demotion rule, and the like.

S701a, it is determined whether the area of the micro-cell area is greater than the micro-cell area threshold. If yes, go to step S702 a; if not, go to step S704 a.

S702a, clustering is carried out based on the distance between the buildings in the micro-grid area to obtain a plurality of building groups. Step S703a is executed.

S703a, further dividing the micro-grid area based on the plurality of building groups to obtain a plurality of micro-grid areas, wherein an area where one building group is located is one micro-grid area. Step S704 is performed.

S704a, the average area of the buildings in the micro-grid area is respectively compared with the average area S of the buildings in the A-type area_AClass B area building mean area S_BAverage building area S of class C zone_CAverage building area S of class D zone_DAnd comparing to determine the reference value grade of the micro-grid area. Step S705a is performed.

Wherein S is_ACan be equal to the average area, S, of the single villa in the target area_BCan be equal to the average area, S, of the townhouse area/poor single villa of the target area_CCan be equal to the average area, S, of good houses in the impoverished of the target area_DMay be equal to the average area of the poor houses in the imports of the target area. In general, the average area of the one-way villa > the average area of the allied villa/the worse one-way villa > the average area of good houses in the impoverished > the average area of bad houses in the impoverished, and therefore, S_A＞S_B＞S_C＞S_D。

If S is greater than or equal to S_AThen the value rating of the micro-grid area may be determined to be a.

If S_A＞S≥S_BThen the value level of the micro-grid area may be determined to be B.

If S_B＞S≥S_CThen the value level of the micro-grid area may be determined to be C.

If S_C＞S≥S_DThen the value level of the micro-grid area may be determined to be D.

If S_DIf the value of the micro-grid area is greater than S, the value grade of the micro-grid area is determined to be 0, namely the value of the networking which is not existed in the micro-grid area.

S705a, the reference value rank determined in step S704a is adjusted based on the building density M of the micro-grid area. Step S706a is performed.

In a specific implementation, if M satisfies the upgrade rule corresponding to the reference value level determined in step S704a, the reference value level determined in step S704a is upgraded by one value level. If M satisfies the reference value rating corresponding to the downgrading rule determined in step S704a, the reference value rating determined in step S704a is reduced by one value rating.

If the operator prefers to build a network in a villa area, the smaller the building density in the target area is, the higher the value rating is, if the building density in the villa area is smaller than the building density in the grotto. In an exemplary illustration, the reference value grade determined in step S704a corresponds to the upgrade rule that the building density is less than the density threshold M1, and the reference value grade determined in step S704a corresponds to the downgrade rule that the building density is greater than or equal to M1. If M < M1, the reference value level determined in step S704a is raised by one value level. If M ≧ M1, the reference value rank determined in step S704a is lowered by one value rank. Wherein, M1 may be equal to the density threshold corresponding to the reference value level determined in step S704 a.

S706a, the reference value grade adjusted by step S705a is adjusted based on the average height H of the buildings in the micro-grid area. Step S707a is executed.

In a specific implementation, if H satisfies the upgrade rule corresponding to the reference value level adjusted in step S705a, the reference value level adjusted in step S705a is upgraded by one value level. If H satisfies the downgrading rule corresponding to the reference value grade adjusted in step S705a, the reference value grade adjusted in step S705a is reduced by one value grade.

If the operator prefers to build a network in a villa area, the higher the building height, the higher the value rating if the height of the villa in the target area is higher than the height of the grotto buildings. In an exemplary illustration, the promotion rule corresponding to the reference value grade adjusted in step S705a may be that the average height of the building is greater than the height threshold H1, and the demotion rule corresponding to the reference value grade adjusted in step S705a may be that the average height of the building is less than or equal to H1. If H < H1, the reference value level adjusted through step S705a is reduced by one value level. If H is greater than or equal to H1, the reference value level adjusted by step S705a is raised by a value level. Wherein H1 may be equal to the height threshold corresponding to the reference value level adjusted through step S705 a.

S707a, the reference value level adjusted through step S706a is adjusted based on the loosening coefficient L of the building in the micro grid area. Step S708a is performed.

In a specific implementation, if L satisfies the upgrade rule corresponding to the reference value level adjusted in step S706a, the reference value level adjusted in step S706a is upgraded by one value level. If L satisfies the downgrading rule corresponding to the reference value grade adjusted in step S706a, the reference value grade adjusted in step S706a is reduced by one value grade.

The higher the loose factor, the higher the value rating. In an exemplary illustration, the downgrading rule corresponding to the reference value grade adjusted in step S706a may be that the loose coefficient is smaller than the loose coefficient L1, and the upgrade rule corresponding to the reference value grade adjusted in step S706a may be that the loose coefficient is greater than or equal to L1. If L < L1, the reference value level adjusted through step S706a is reduced by one value level. If L is greater than or equal to L1, the reference value level adjusted in step S706a is raised by one value level. Wherein L1 may be equal to the loosening coefficient threshold corresponding to the reference value level adjusted through step S706 a.

And S708a, adjusting the reference value grade adjusted in the step S707a based on the building regularity K in the micro-grid area. Step S709a is executed.

In a specific implementation, if K satisfies the upgrade rule corresponding to the reference value level adjusted in step S707a, the reference value level adjusted in step S707a is upgraded by one value level. If K satisfies the degradation rule corresponding to the reference value level adjusted at step S707a, the reference value level adjusted at step S707a is lowered by one value level.

If the operator tends to build a network in the villa area, the higher the building regularity is, the higher the value level is, if the building regularity of the villa area in the target area is higher than the building regularity of the grottos of poverty people. In an exemplary illustration, the downgrade rule corresponding to the reference value grade adjusted in step S707a may be that the building uniformity is less than the building uniformity threshold K1, and the upgrade rule corresponding to the reference value grade adjusted in step S707a may be that the building uniformity is greater than or equal to K1. If K < K1, the reference value level adjusted through step S707a is lowered by one value level. If K is greater than or equal to K1, the reference value level adjusted in step S707a is raised by one value level. Wherein, K1 may be equal to the building uniformity threshold corresponding to the reference value level adjusted through step S707 a.

S709a, adjusting the reference value grade adjusted in step S708a based on the street availability G of the buildings in the micro grid area to obtain a final value grade. Step S710a is performed.

In a specific implementation, if G satisfies the upgrade rule corresponding to the reference value level adjusted in step S708a, the reference value level adjusted in step S708a is upgraded by one value level. If G satisfies the destaging rule corresponding to the reference value rank adjusted in step S708a, the reference value rank adjusted in step S708a is lowered by one value rank.

If the operator tends to build a network in the rich area, the rich area is more convenient to transport compared with the grotto, so the street availability is higher, and the higher the street availability is, the higher the value grade is. In an exemplary illustration, the downgrade rule corresponding to the reference value grade adjusted in step S708a may be that the street probability is less than the threshold value G1, and the upgrade rule corresponding to the reference value grade adjusted in step S708a may be that the street probability is greater than or equal to G1. If G < G1, the reference value level adjusted by step S708a is reduced by one value level. If G is greater than or equal to G1, the reference value level adjusted in step S708a is raised by a value level. Wherein, G1 may be equal to the street-contacting rate threshold corresponding to the reference value level adjusted by step S708 a.

An alternative process for determining the value rating of a microlattice area is described below using a microlattice area as an example, and is illustrated in FIG. 7B. It should be understood that fig. 7B is only an exemplary illustration, and does not specifically limit the division of the value ranks, the number and types of indexes included in the index set, the adjustment order, the promotion rule, the demotion rule, and the like.

S701b, it is determined whether the area of the micro-cell area is greater than the micro-cell area threshold. If yes, go to step S702 b; if not, go to step S704 b.

S702b, clustering is carried out based on the distance between the buildings in the micro-grid area to obtain a plurality of building groups. Step S703b is executed.

S703b, further dividing the micro-grid area based on the plurality of building groups to obtain a plurality of micro-grid areas, wherein an area where one building group is located is one micro-grid area. Step S704 is performed.

S704b, the average area of the buildings in the micro-grid area is respectively compared with the average area S of the buildings in the A-type area_AClass B area building mean area S_BAverage building area S of class C zone_CAverage building area S of class D zone_DAnd comparing to determine the reference value grade of the micro-grid area. Step S705b is performed.

Step S704b can specifically refer to step S704a in fig. 7A, and is not repeated here.

S705b, the reference value grade determined in step S704b is adjusted based on the building density M of the micro-grid area and the average height H of the buildings within the micro-grid area. Step S706b is performed.

In a specific implementation, if M, H satisfies the upgrade rule corresponding to the reference value level determined in step S704b, the reference value level determined in step S704b is upgraded by one value level. If M, H satisfies the downgrade rule corresponding to the reference value rating determined in step S704b, the reference value rating determined in step S704b is reduced by one value rating.

In an exemplary illustration, the upgrade rule corresponding to the reference value grade determined in step S704b may be that the building density of the micro-grid region is less than or equal to the first density threshold M1 and the average height of the buildings within the micro-grid region is less than or equal to the first height threshold H1, and the downgrade rule corresponding to the reference value grade determined in step S704b may be that the building density of the micro-grid region is greater than or equal to the second density threshold M2 and the average height of the buildings within the micro-grid region is greater than or equal to the second height threshold H2. If M ≦ M1 and H ≦ H1, the reference value level determined in step S704b is raised by one value level. If M ≧ M1 and H ≧ H1, the reference value rank determined in step S704b is lowered by a value rank.

S706b, the reference value grade adjusted by step S705b is adjusted based on the building density M of the micro-grid area and the loosening coefficient L of the buildings in the micro-grid area. Step S707b is executed.

In a specific implementation, if M, L satisfies the upgrade rule corresponding to the reference value level adjusted in step S705b, the reference value level adjusted in step S705b is upgraded by one value level. If M, L satisfies the downgrading rule corresponding to the reference value grade adjusted in step S705b, the reference value grade adjusted in step S705b is reduced by one value grade.

In an exemplary illustration, the upgrade rule corresponding to the reference value grade adjusted by step S705b may be that the building density of the micro-grid area is less than or equal to the third density threshold M3 and the loose coefficient of the building in the micro-grid area is greater than or equal to the first loose coefficient threshold L1, and the downgrade rule corresponding to the reference value grade adjusted by step S705b may be that the building density of the micro-grid area is greater than or equal to the fourth density threshold M4 and the loose coefficient of the building in the micro-grid area is less than or equal to the second loose coefficient threshold L2. If M is less than or equal to M3 and L is greater than or equal to L1, the reference value grade adjusted by step S705b is raised by one value grade. If M is greater than or equal to M4 and L is less than or equal to L2, the reference value level adjusted by step S705b is reduced by one value level.

S707b, the reference value grade adjusted in the step S706b is adjusted based on the street present rate G of the buildings in the micro grid area, and a final value grade is obtained. Step S708b is performed.

Step S707b may refer to step S709a, and will not be described herein repeatedly.

And S708b, adjusting the reference value grade adjusted in the step S707b based on the building regularity K in the micro grid area to obtain a final value grade.

Step S708b may refer to step S708a, and will not be described herein again.

According to the method and the device, the target area is divided into the plurality of micro-grid areas, and then the networking value grade of each micro-grid area is judged by analyzing the building information in each micro-grid area, so that an operator can determine the micro-grid area with higher value grade as the value area, and further, the network is established in the area corresponding to the micro-grid area with higher value grade. For example, since an operator generally tends to establish a network in a residential area, the present application can determine the value level of each micro grid area by analyzing building information in the micro grid area to determine whether or not the building in the micro grid area is a residential building, and the value level of the micro grid area with many residential buildings is high. For another example, operators generally prefer to build networks in villa areas, so the present application can determine whether residential buildings in the micro-grid are villa buildings or grotto buildings by analyzing the building information in each micro-grid area, to determine the value level of the micro-grid area, the value level of the micro-grid area where the villa building is located is higher, and the like.

In addition, in the embodiment of the application, the accuracy of identifying the networking value area can be improved by considering a plurality of indexes obtained based on the building information, and the investment return efficiency of an operator can be further improved.

Based on the same inventive concept as the above embodiment, an embodiment of the present invention provides a networking value area identification apparatus 800, and referring to fig. 8, the apparatus 800 includes an obtaining unit 801, a dividing unit 802, a first determining unit 803, and a second determining unit 804. The obtaining unit 801 is configured to obtain a vectorized map of a target area. A dividing unit 802, configured to divide the vectorized map acquired by the acquiring unit 801 into a number of micro-grid regions. A first determining unit 803, configured to determine, for each micro-grid area divided by the dividing unit 802, building information included in the micro-grid area. A second determining unit 804 determines the value grade of the micro-grid area according to the building information included in the micro-grid area determined by the first determining unit 803.

In an implementation manner, the second determining unit 804 may be specifically configured to: comparing the average area of the buildings in the micro-grid area with the building average area threshold value of each value grade, and determining the reference value grade of the micro-grid area; analyzing the building information included in the micro-grid area to obtain an index set of the micro-grid area, wherein the index set comprises one or more of the following indexes: the micro-grid area comprises the number of buildings, the building density of the micro-grid area, the average area of the buildings in the micro-grid area, the average height of the buildings in the micro-grid area, the loose coefficient of the buildings in the micro-grid area, the regularity of the buildings in the micro-grid area and the presence rate of the buildings in the micro-grid area; and adjusting the reference value grade of the micro-grid area based on the index set to obtain the final value grade of the micro-grid area.

The apparatus may also include a sifting unit 805. The screening unit 805 is configured to screen out non-residential building information included in the micro grid area before determining the value grade of the micro grid area.

Illustratively, the screening unit 805 may be specifically configured to: acquiring a geographic coordinate of a point of interest in the target area and a geographic coordinate range of an area of interest, wherein the point of interest is a building marked as a non-residential building, and the area of interest is an area marked as a non-residential area; and screening out buildings included in the micro-grid area and located at the geographic coordinate of the interest point and buildings located in the geographic coordinate range of the interest area.

For an exemplary illustration, the dividing unit 802 may be specifically configured to: determining road intersections in the vectorized map; determining a topological structure of a road based on road intersection points in the vectorized map; and for each road intersection point, determining a minimum closed loop where the road intersection point is located based on the topological structure of the road, wherein a closed area formed by one minimum closed loop is a micro-grid area.

The apparatus may further comprise a clustering unit 806; the clustering unit 806 is configured to, after determining the building information included in the micro-grid area, perform clustering based on a distance between buildings in the closed area to obtain a plurality of building clusters if the area of the closed area formed by the minimum closed loop is greater than a micro-grid area threshold; the dividing unit 802 may further be configured to: and further dividing the closed area based on the plurality of building groups to obtain a plurality of micro-grid areas, wherein the area where one building group is located is one micro-grid area.

For example, the obtaining unit 801 may be specifically configured to: acquiring a Geographic Information System (GIS) map of the target area; and carrying out vectorization processing on the GIS map to obtain the vectorized map. The first determining unit 803, when determining the building information included in the micro grid area, may specifically be configured to: and determining building information included in the micro-grid area based on the geographic coordinates of the buildings in the GIS map and the geographic coordinate range of the micro-grid area.

The division of the modules in the embodiments of the present application is schematic, and only one logical function division is provided, and in actual implementation, there may be another division manner, and in addition, each functional module in each embodiment of the present application may be integrated in one processor, may also exist alone physically, or may also be integrated in one module by two or more modules. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.

When the integrated module can be implemented in a hardware form, as shown in fig. 9, the networking value area identifying device may include a processor 902. The hardware of the entity corresponding to the above modules may be the processor 902. The processor 902 may be a Central Processing Unit (CPU), a digital processing module, or the like. The networked value area identification device may also include a communication interface 901, and the processor 902 may obtain data via the communication interface 901. The networking value area recognition device further includes: a memory 903 for storing programs executed by the processor 902. The memory 903 may be a nonvolatile memory such as a Hard Disk Drive (HDD) or a solid-state drive (SSD), and may also be a volatile memory (RAM), such as a random-access memory (RAM). The memory 903 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such.

The processor 902 is configured to execute the program code stored in the memory 903, and in particular, configured to perform the method described in fig. 1A-7B.

The embodiment of the present application does not limit the specific connection medium among the communication interface 901, the processor 902, and the memory 903. In the embodiment of the present application, the memory 903, the processor 902, and the communication interface 901 are connected by the bus 904 in fig. 9, the bus is represented by a thick line in fig. 9, and the connection manner between other components is merely schematic illustration and is not limited thereto. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.

The embodiment of the present invention further provides a computer-readable storage medium, which is used for storing computer software instructions required to be executed for executing the processor, and which contains a program required to be executed for executing the processor.

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded or executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a Solid State Drive (SSD).

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Claims

1. A networking value area identification method is characterized by comprising the following steps:

obtaining a vectorization map of a target area;

dividing the vectorized map into a number of micro-grid regions;

for each micro-grid area, determining building information included by the micro-grid area;

and determining the value grade of the micro-grid area according to the building information included in the micro-grid area.

2. The method of claim 1, wherein determining a value rating for the micro-grid area based on building information included within the micro-grid area comprises:

comparing the average area of the buildings in the micro-grid area with the building average area threshold value of each value grade, and determining the reference value grade of the micro-grid area;

analyzing the building information included in the micro-grid area to obtain an index set of the micro-grid area, wherein the index set comprises one or more of the following indexes: the micro-grid area comprises the number of buildings, the building density of the micro-grid area, the average height of the buildings in the micro-grid area, the loose coefficient of the buildings in the micro-grid area, the building uniformity in the micro-grid area and the street-contacting rate of the buildings in the micro-grid area;

and adjusting the reference value grade of the micro-grid area based on the index set to obtain the final value grade of the micro-grid area.

3. The method of claim 1 or 2, further comprising, prior to determining the value rating for the microlattice area:

and screening out non-residential building information included in the micro-grid area.

4. The method of claim 3, wherein the screening out non-residential building information included in the micro-grid area comprises:

acquiring a geographic coordinate of a point of interest in the target area and a geographic coordinate range of an area of interest, wherein the point of interest is a building marked as a non-residential building, and the area of interest is an area marked as a non-residential area;

and screening out buildings included in the micro-grid area and located at the geographic coordinate of the interest point and buildings located in the geographic coordinate range of the interest area.

5. The method of any one of claims 1 to 4, wherein the dividing the vectorized map into a number of micro-grid regions comprises:

determining road intersections in the vectorized map;

determining a topological structure of a road based on road intersection points in the vectorized map;

and for each road intersection point, determining a minimum closed loop where the road intersection point is located based on the topological structure of the road, wherein a closed area formed by one minimum closed loop is a micro-grid area.

6. The method of claim 5, after determining the building information included in the micro-grid area, further comprising:

if the area of a closed area formed by the minimum closed loop is larger than a micro-grid area threshold, clustering is carried out based on the distance between buildings in the closed area to obtain a plurality of building groups;

and further dividing the closed area based on the plurality of building groups to obtain a plurality of micro-grid areas, wherein the area where one building group is located is one micro-grid area.

7. The method according to any one of claims 1 to 6, wherein the obtaining of the vectorized map of the target area comprises:

acquiring a Geographic Information System (GIS) map of the target area;

vectorizing the GIS map to obtain the vectorized map;

the determining the building information included in the micro-grid area comprises:

and determining building information included in the micro-grid area based on the geographic coordinates of the buildings in the GIS map and the geographic coordinate range of the micro-grid area.

8. A networking value area identification apparatus, comprising:

the acquisition unit is used for acquiring a vectorization map of a target area;

the dividing unit is used for dividing the vectorized map acquired by the acquiring unit into a plurality of micro-grid areas;

a first determination unit configured to determine, for each of the micro-grid areas divided by the division unit, building information included in the micro-grid area;

and a second determination unit which determines the value grade of the micro-grid area according to the building information included in the micro-grid area determined by the first determination unit.

9. The apparatus of claim 8, wherein the second determining unit is specifically configured to:

10. The apparatus of claim 8 or 9, further comprising a screening unit;

the screening unit is used for screening out the non-residential building information included in the micro-grid area before determining the value grade of the micro-grid area.

11. The device according to claim 10, characterized in that the screening unit is particularly adapted to:

12. The apparatus according to any one of claims 8 to 11, wherein the dividing unit is specifically configured to:

determining road intersections in the vectorized map;

13. The apparatus of claim 12, wherein the apparatus further comprises a clustering unit;

the clustering unit is used for clustering based on the distance between the buildings in the closed area to obtain a plurality of building clusters if the area of the closed area formed by the minimum closed loop is larger than a micro-grid area threshold value after the building information included in the micro-grid area is determined;

the dividing unit is further configured to:

14. The apparatus according to any one of claims 8 to 13, wherein the obtaining unit is specifically configured to:

acquiring a Geographic Information System (GIS) map of the target area;

vectorizing the GIS map to obtain the vectorized map;

the first determining unit, when determining the building information included in the micro grid area, is specifically configured to: