CN109918469B - Gridding processing method and device - Google Patents
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Abstract
The application discloses a gridding processing method and a gridding processing device, relates to the technical field of communication, and is used for constructing a basic grid library according to a geographic coordinate system, determining a data attribution grid so as to improve the standardization and refinement degree of grid division and improve the accuracy of data processing and problem positioning, and has important theoretical significance and practical application value. The method comprises the following steps: and dividing grids according to the geographic coordinate system and the preset grid span. Acquiring data to be processed, wherein the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one. Determining an attribution grid of sampling point data corresponding to the longitude and the latitude of the sampling point according to the longitude and the latitude of the sampling point and a preset grid span, and determining an attribution geographical area of the sampling point data according to the attribution grid of the sampling point data.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a grid processing method and apparatus.
Background
In data gridding analysis and management work, data with geographic information is often presented over a geographic area that is being gridded (also known as rasterized). The grid data management method enables data to be more visual, visual display of management information can be achieved, assessment and monitoring are facilitated, and support is provided for fine data management and accurate problem positioning. The gridding process, which is the most fundamental ring in the gridding data management approach, is usually performed manually or with the aid of tools (e.g., mapinfo).
The manual gridding treatment needs to be performed with gridding division in combination with the distribution characteristics of data, so that the subjectivity is high, the shape of a grid is irregular, the division efficiency is low, and the method is generally only used for large-particle gridding division or local-area gridding division. And the gridding treatment is carried out by means of a tool, after two end points of the rectangular area are specified and the side length of the grid is preset, the automatic division of the grid can be realized, the division efficiency is high, and the grid shape is regular. Therefore, the gridding processing mode by means of the tool is more widely applied to the data processing process.
However, the method of performing the gridding processing by using the tool is only suitable for the gridding processing of the rectangular area, and when processing data spanning different areas, if the side lengths of the grids set in the different areas are different, the grids are easily overlapped, and the degree of refinement and standardization of grid division is low, thereby reducing the accuracy of data management and problem location.
Disclosure of Invention
The application provides a gridding processing method and a gridding processing device, which can be used for constructing a basic grid library by combining a geographic coordinate system, and improving the standardization and refinement degree of grid division, so that the accuracy of data processing and problem positioning is improved.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a grid processing method, where a geographic area includes at least one grid, the grid is obtained by dividing according to a geographic coordinate system and a preset grid span, and the preset grid span includes a longitude span and a latitude span of the grid, the method includes:
acquiring data to be processed, wherein the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one.
And determining the attributive grid of the sampling point data corresponding to the longitude and the latitude of the sampling point according to the longitude and the latitude of the sampling point and the preset grid span.
And determining the attributive geographic area of the sampling point data according to the attributive grid of the sampling point data.
In a second aspect, the present application provides a grid processing apparatus, a geographic region includes at least one grid, the grid is obtained by dividing according to a geographic coordinate system and a preset grid span, the preset grid span includes a longitude span and a latitude span of the grid, a basic grid library includes a grid identifier and a grid area, the apparatus includes:
the device comprises an acquisition unit and a processing unit, wherein the acquisition unit is used for acquiring data to be processed, the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one.
And the determining unit is used for determining the attributive grid of the sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span.
The determining unit is further configured to determine a geographic area to which the sampling point data belongs according to the grid to which the sampling point data belongs.
In a third aspect, the present application provides a computer readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by a computer, cause the computer to perform the grid processing method of the first aspect and any of its various alternative implementations.
In a fourth aspect, the present application provides a computer program product containing instructions, which when run on a computer, cause the computer to execute the gridding processing method according to the first aspect and any one of its various alternative implementations.
In a fifth aspect, the present application provides a grid processing apparatus, comprising: a processor, a memory, and a communication interface. Wherein the communication interface is configured to communicate with another device or a communication network, and the memory is configured to store one or more programs, and the one or more programs include computer executable instructions, and when the apparatus is running, the processor executes the computer executable instructions stored in the memory to cause the apparatus to perform the grid processing method according to any one of the first aspect and various optional implementations thereof.
The embodiment of the application provides a gridding processing method, which is used for dividing grids according to a geographic coordinate system and a preset grid span, wherein the preset grid span comprises a longitude span and a latitude span of the grids. Acquiring data to be processed, wherein the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one. And determining the attributive grid of the sampling point data corresponding to the longitude and the latitude of the sampling point according to the longitude and the latitude of the sampling point and the preset grid span. And determining the attributive geographic area of the sampling point data according to the attributive grid of the sampling point data. According to the method and the device, a basic grid library can be constructed by combining a geographic coordinate system, and the standardization and refinement degree of grid division is improved, so that the accuracy of data processing and problem positioning is improved, and the method and the device have important theoretical significance and practical application value.
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Fig. 1 is a first schematic diagram of a gridding processing method according to an embodiment of the present application;
fig. 2 is a schematic diagram of a gridding processing method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a first grid processing apparatus according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a second grid processing apparatus according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a gridding processing method and a gridding processing device, which are mainly applied to the technical field of communication.
The gridding processing in the present application refers to gridding processing of a geographic area, and is an extension of gridding in image processing, that is, dividing a managed or estimated geographic area into a plurality of grid-shaped units, so as to perform hierarchical, hierarchical or full-area management and estimation on the managed area, and facilitate fine management on a smaller geographic granularity. Or support is provided for planning and optimizing the mobile communication network, and the grid unit can be square or irregular according to the management requirement.
Generally, the gridding process of a geographic area is performed on a specific plane, and a planar coordinate system is adopted to perform the gridding process of an equal area, so as to realize the automatic division of grids.
In fact, from the macroscopic view, the intuitive "plane" is actually a curved surface, and then, the area is gridded by adopting the spherical coordinate system, which is more convenient for unified management and implementation, so that the geographic coordinate system is adopted for gridding in the present application. The geographic coordinate system is a spherical coordinate system which defines the surface position of the earth by utilizing a spherical surface in a three-dimensional space, and any position on the earth can be marked by latitude and longitude. Longitude is the number of degrees east or west a place on the earth runs from north to south called the present meridian. The latitude is the line-plane angle between the line connecting the center of the earth's sphere and the equatorial plane of the earth, and has a value of 0 to 90 degrees. The network formed by the longitude and latitude lines with different precisions is also a gridding for the earth in nature, and can be used for gridding processing in general geographic analysis as long as a rule is determined.
Embodiments of the present application provide a grid processing method, which may be applied in the field of communication technology, and an execution subject of the grid processing method is a computer device, for example, a server, and embodiments of the present application are described below with reference to the drawings.
Referring to fig. 1, the present application provides a gridding processing method, which includes steps S101-S103:
before steps S101-S103, the grid is further divided according to the geographic coordinate system and the preset grid span.
Wherein the preset grid span comprises a longitude span and a latitude span of the grid.
Optionally, in a possible implementation manner, a preset grid span is determined according to the fineness of data management, and then a grid is divided according to the geographic coordinate system and the preset grid span.
Illustratively, equal-span meshing is performed for all China. If the fineness of data management is 50m, determining that the longitude span of a grid in the preset grid span is 0.0005 degrees, the latitude span is 0.0005 degrees, and the area of the grid is about 45m × 56 m; if the fineness of data management is 100m, determining that the longitude span of a grid in the preset grid span is 0.001 degrees, the latitude span is 0.001 degrees, and the grid area is about 90m x 111 m; if the fineness of data management is 200m, the longitude span of the grid in the preset grid span is determined to be 0.002 degrees, the latitude span is 0.002 degrees, and the grid area is about 181m × 222 m.
Illustratively, equal-span grid division is performed on Beijing, and according to the fineness of data management, the longitude span of a grid in preset grid spans is determined to be 0.001 degrees, the latitude spans are all 0.001 degrees, and the grid area is about 85m × 111 m.
It should be noted that, the present application can determine the preset grid span according to the fineness of data management, so as to achieve the purposes of determining the preset grid span according to the requirement and adjusting the size of the grid. In addition, the grid can be divided according to the geographic coordinate system and the preset grid span, the basic grid library is established, the standardization and refinement degree of grid division is improved, the grid overlapping condition caused by different grid sizes when the grid is divided manually or by different software is reduced, and the accuracy of data processing and problem positioning is improved.
Optionally, in a possible implementation manner, the grid is divided according to the geographic coordinate system and the preset grid span, the longitude and latitude of the reference point in the grid are determined as the grid identifier of the grid, and the basic grid library is established.
The grid identification and the grid are in one-to-one correspondence, and the basic grid library comprises grid areas and grid identifications.
Illustratively, the longitude and latitude of the vertex at the lower left corner of the grid are determined as the grid identification of the grid.
If the preset grid span is 0.0005 °, determining the grid identifier of grid a to be (116.4035, 39.9175); if the grid span is 0.001 °, determining the grid identification of grid B as (116.403, 39.917); if the grid span is 0.002 °, the grid identification of grid C is determined to be (116.402, 39.916).
Illustratively, the longitude and latitude of the center point of the grid are determined as the grid identification of the grid.
It should be noted that, in the present application, the latitude and longitude of the reference point in the grid are used as the grid identifier of the grid, so that the uniqueness of the grid identifier can be ensured, a special grid identifier is not required to be introduced, the multiplexing of information can be realized, and the accuracy of data processing and problem location can be improved.
After the grids are divided according to the geographic coordinate system and the preset grid span and a basic grid library is established, executing the steps S101-S103:
and S101, acquiring data to be processed.
The data to be processed comprises sampling point data and longitude and latitude of sampling points, and the sampling point data corresponds to the longitude and latitude of the sampling points one by one.
Optionally, in a possible implementation manner, the sampling point data in the data to be processed is Measurement Report (MR) data reported by the terminal, and the number of the sampling point data is one or more.
S102, determining a home grid of the sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span.
Optionally, in a possible implementation manner, the decimal point post-digit number of the grid identifier is determined according to a preset grid span. And calculating the longitude and latitude of the sampling point, the preset grid span and the decimal point post-digit of the grid identification by using an integer function, and determining the attributive grid of the sampling point data corresponding to the longitude and latitude of the sampling point according to the calculation result.
Illustratively, the longitude and latitude of the sampling point are (X, Y), the longitude span in the preset grid span is dx, the latitude span is dy, the number of digits after the decimal point of the grid identifier is determined to be m and n according to the preset grid span, the rounding function is Round () function, and then the home grid of the sampling point data corresponding to the longitude and latitude of the sampling point is (X, Y)0，Y0) Wherein, X0 ═ Round (X-dx/2, m), and Y0 ═ Round (Y-dy/2, n).
S103, determining the attributive geographic area of the sampling point data according to the attributive grid of the sampling point data.
Optionally, in a possible implementation manner, a plurality of rays are introduced from a central point of the home grid, and the number of intersections between the plurality of rays and the frame of the at least one geographic area is determined.
If the number of intersection points with the frame of the target geographic area in the at least one geographic area is odd, determining that the target geographic area is the home geographic area of the home grid; and if the number of the intersection points and the frames of all the geographic areas in the at least one geographic area is even, the home grids are positioned outside the at least one geographic area, and the geographic area is determined again.
Optionally, in a possible implementation manner, a configuration file is obtained first, where the configuration file is used to divide a geographic area, and the obtained configuration file is used to divide at least one geographic area.
Determining the center point coordinate of the home grid of the sampling point data, leading a plurality of rays from the center point coordinate, and determining the number of intersection points of the rays and the frame of the at least one geographic area.
If the number of intersection points with the frame of the target geographic area in the at least one geographic area is odd, determining that the target geographic area is the home geographic area of the home grid; if the number of the intersection points with the frames of all the geographic areas in the at least one geographic area is even, the home grids are located outside the at least one geographic area, the configuration file is obtained again, the new at least one geographic area is divided according to the configuration file, and whether the home geographic area of the home grids exists in the new at least one geographic area is determined.
It should be noted that, according to the longitude and latitude of the sampling point and the preset grid span, the method and the device determine the attribution grid of the sampling point data corresponding to the longitude and latitude of the sampling point, further determine the attribution geographic area of the sampling point data, simply and effectively solve the problem of the attribution of the grid and the problem of the attribution of the geographic area of the data, and improve the efficiency of data processing.
The embodiment of the application provides a gridding processing method, which is used for dividing grids according to a geographic coordinate system and a preset grid span. Acquiring data to be processed, wherein the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one. Determining an attribution grid of sampling point data corresponding to the longitude and the latitude of the sampling point according to the longitude and the latitude of the sampling point and a preset grid span, and determining an attribution geographical area of the sampling point data according to the attribution grid of the sampling point data. According to the method and the device, a basic grid library can be constructed by combining a geographic coordinate system, and the standardization and refinement degree of grid division is improved, so that the accuracy of data processing and problem positioning is improved, and the method and the device have important theoretical significance and practical application value.
Optionally, the present application further provides a grid processing method, as shown in fig. 2, after determining, in S102, a home grid of sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span, the grid processing method further includes S201-S202:
s201, determining the grid data of the grid to be compared according to the data to be processed, the attributive grid of the sampling point data and the basic grid library.
Wherein the grid data comprises a grid area and data to be compared.
Optionally, in a possible implementation manner, the grid area of the grid to be compared is determined according to the basic grid library. And determining sampling point data which belongs to the grids to be compared according to the data to be processed and the attributive grids of the sampling point data. And determining the data to be compared of the grids to be compared according to the data of the sampling points or further combining the grid areas of the grids to be compared.
Illustratively, the grid areas of the grids to be compared are determined from the base grid library. If the sampling point data is MR data and the data to be compared is the total number of the mobile users, the MR data belonging to the grid to be compared can be determined according to the belonging grid of the MR data, and then the total number of the mobile users of the grid to be compared is determined, or the number of the mobile users in unit area of the grid to be compared is further determined by combining the area of the grid.
S202, judging according to the data to be compared of the grids to be compared, and determining whether to perform equivalent magnitude processing on the grid data of the grids to be compared.
When the data to be compared of the grids to be compared is the grid cumulative quantity, direct comparison is not suitable because the grid areas of the grids to be compared at different latitudes are different.
Optionally, in a possible implementation, a data type of the data to be compared of the grids to be compared is determined. If the data to be compared is the grid cumulative quantity, carrying out equivalent quantity value processing on the data to be compared of the grid to be compared; and if the data to be compared is an average index, equivalent magnitude processing is not required.
Exemplarily, if the data to be compared is the total number of the mobile users, the grid data of the grid to be compared needs to be subjected to equivalent magnitude processing; if the data to be compared is the number of the moving users in unit area of the grid, equivalent magnitude processing is not needed.
Illustratively, the grid identifier of the grid to be compared is (x, y), and the grid area of the grid to be compared is S.
If the data to be compared is the total number of the mobile users N, performing equivalent value processing on the total number of the mobile users and the area of the grid to obtain the equivalent area of the grid to be compared, which is Se (S/cos) (y), and the total number of the equivalent mobile users is Ne (N/cos (y));
if the data to be compared is the number of the mobile users in unit area, the grid data of the grid to be compared does not need to be subjected to equivalent magnitude processing.
The embodiment of the application provides a gridding processing method, which is used for dividing grids according to a geographic coordinate system and a preset grid span and establishing a basic grid library. Acquiring data to be processed, wherein the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one. And determining the attributive grid of the sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span. And determining the grid data of the grid to be compared according to the data to be processed, the attributive grid of the sampling point data and the basic grid library, judging according to the data to be compared of the grid to be compared, and determining whether to perform equivalent magnitude processing on the grid data of the grid to be compared. The method and the device can be combined with a geographic coordinate system to construct a basic grid library, improve the standardization and refinement degree of grid division, thereby improving the accuracy of data processing and problem positioning, and can process the grid data of the grid to be compared in an equivalent magnitude mode, so as to realize comparison of the grid data among the grids to be compared at different latitudes, and have important theoretical significance and practical application value.
The embodiment of the application provides a gridding processing device which can be used for executing a gridding processing method shown in FIGS. 1-2. As shown in fig. 3, the gridding processing apparatus includes an acquisition unit 301, a determination unit 302:
the acquiring unit 301 is configured to acquire data to be processed, where the data to be processed includes sampling point data and longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one to one.
The determining unit 302 is configured to determine an attribution grid of the sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span.
The determining unit 302 is further configured to determine a home geographic area of the sampling point data according to the home grid of the sampling point data.
Optionally, the determining unit 302 is configured to determine, according to the longitude and latitude of the sampling point and the preset grid span, an attribution grid of the sampling point data corresponding to the longitude and latitude of the sampling point, and then determine, according to the data to be processed, the attribution grid of the sampling point data, and the basic grid library, grid data of a grid to be compared, where the grid data includes the data to be compared and a grid area; and judging the data to be compared of the grids to be compared, and determining whether to perform equivalent magnitude processing on the grid data of the grids to be compared.
Optionally, the determining unit 302 is further configured to specifically guide multiple rays from a central point of the home grid, and determine the number of intersection points of the multiple rays and a frame of the geographic area;
if the number of the intersection points is odd, determining that the geographic area is the home geographic area of the home grid; and if the number of the intersection points is even, determining that the home grid is positioned outside the geographic area, and re-determining the geographic area.
The embodiment of the application provides a gridding processing device, which divides grids according to a geographic coordinate system and a preset grid span and establishes a basic grid library. Acquiring data to be processed, wherein the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one. Determining an attribution grid of sampling point data corresponding to the longitude and the latitude of the sampling point according to the longitude and the latitude of the sampling point and a preset grid span, and determining an attribution geographical area of the sampling point data according to the attribution grid of the sampling point data. According to the method and the device, a basic grid library can be constructed by combining a geographic coordinate system, and the standardization and refinement degree of grid division is improved, so that the accuracy of data processing and problem positioning is improved, and the method and the device have important theoretical significance and practical application value.
An embodiment of the present application provides a gridding processing apparatus, as shown in fig. 4, the apparatus including: a processor 401 and a communication interface 402, the processor 401 being for controlling management of actions of the apparatus, and/or for performing other processes of the techniques described herein. The communication interface 402 is used to support communication of the device with other network entities. The device may further comprise a memory 403 and a bus 404, the memory 403 being used for storing program codes and data of the device.
The processor 401 (or controller) may implement or execute various illustrative logical blocks, unit modules, and circuits described in connection with the disclosure herein. The processor or controller may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, unit modules, and circuits described in connection with the disclosure herein. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
The communication interface 402 may be a transceiver circuit.
The bus 404 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 404 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
It is clear to those skilled in the art from the foregoing description of the embodiments that, for convenience and simplicity of description, the foregoing division of the functional units is merely used as an example, and in practical applications, the above function distribution may be performed by different functional units according to needs, that is, the internal structure of the device may be divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
Embodiments of the present application provide a computer-readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by a computer, cause the computer to perform the gridding processing method.
Embodiments of the present application also provide a computer program product containing instructions that, when executed on a computer, cause the computer to perform the grid processing method.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a register, a hard disk, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, any suitable combination of the above, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. A gridding processing method is characterized in that a geographic area comprises at least one grid, the grid is obtained by dividing according to a geographic coordinate system and a preset grid span, the preset grid span comprises a longitude span and a latitude span of the grid, and the method comprises the following steps:
acquiring data to be processed, wherein the data to be processed comprises sampling point data and longitude and latitude of sampling points, and the sampling point data corresponds to the longitude and latitude of the sampling points one by one;
determining an attribution grid of sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span;
determining the attributive geographic area of the sampling point data according to the attributive grid of the sampling point data;
the method further comprises the following steps:
determining the preset grid span according to the fineness of data management;
determining longitude and latitude of a reference point in a grid as a grid identifier of the grid, and establishing a basic grid library, wherein the longitude and latitude of the reference point in the grid are the longitude and latitude of any point in the grid, and the basic grid library comprises a grid area and the grid identifier;
after determining the home grid of the sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span, the method further comprises the following steps:
determining grid data of the grid to be compared according to the data to be processed, the attributive grid of the sampling point data and the basic grid library, wherein the grid data comprises the data to be compared and the area of the grid;
judging the data to be compared of the grids to be compared, and if the data to be compared of the grids to be compared is the total number of the mobile users, determining to perform equivalent magnitude processing on the grid data of the grids to be compared; the equivalent magnitude processing specifically comprises: the grid identifier of the grid to be compared is (x, y), the grid area of the grid to be compared is S, if the data to be compared of the grid to be compared is the total number N of the mobile users, the equivalent value processing is performed on the total number of the mobile users and the grid area, and the equivalent area of the grid to be compared is obtained as Se ═ S/cos (y), and the total number of the equivalent mobile users is Ne ═ N/cos (y).
2. The gridding processing method according to claim 1, wherein the determining the home geographical area of the sampling point data according to the home grid of the sampling point data specifically comprises:
leading a plurality of rays from the center point of the home grid, and determining the number of intersection points of the rays and the frame of at least one geographic area;
if the number of intersection points with the frame of the target geographic area in the at least one geographic area is odd, determining that the target geographic area is the home geographic area of the home grid; and if the number of the intersection points of the frame of all the geographic areas in the at least one geographic area is even, determining that the home grid is positioned outside the at least one geographic area, and re-determining the geographic area.
3. A gridding processing apparatus, wherein a geographic region includes at least one grid, the grid is obtained by dividing according to a geographic coordinate system and a preset grid span, the preset grid span includes a longitude span and a latitude span of the grid, the apparatus includes:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring data to be processed, the data to be processed comprises sampling point data and the longitude and latitude of a sampling point, and the sampling point data corresponds to the longitude and latitude of the sampling point one by one;
the determining unit is used for determining the attributive grid of the sampling point data corresponding to the longitude and latitude of the sampling point according to the longitude and latitude of the sampling point and the preset grid span;
the determining unit is further configured to determine a home geographic area of the sampling point data according to the home grid of the sampling point data;
the device comprises:
the determining unit is further configured to determine the preset grid span according to the fineness of data management;
the determining unit is further configured to determine a longitude and latitude of a reference point in the grid as a grid identifier of the grid, and establish a basic grid library, where the longitude and latitude of the reference point is a longitude and latitude of any point in the grid, and the basic grid library includes a grid area and a grid identifier;
the determining unit is specifically further configured to determine grid data of a grid to be compared according to the data to be processed, the attributive grid of the sampling point data, and the basic grid library, where the grid data includes the data to be compared and a grid area;
judging the data to be compared of the grids to be compared, and if the data to be compared of the grids to be compared is the total number of the mobile users, determining to perform equivalent magnitude processing on the grid data of the grids to be compared; the equivalent magnitude processing specifically comprises: the grid identifier of the grid to be compared is (x, y), the grid area of the grid to be compared is S, if the data to be compared of the grid to be compared is the total number N of the mobile users, the equivalent value processing is performed on the total number of the mobile users and the grid area, and the equivalent area of the grid to be compared is obtained as Se ═ S/cos (y), and the total number of the equivalent mobile users is Ne ═ N/cos (y).
4. The gridding processing apparatus according to claim 3, comprising:
the determining unit is specifically configured to introduce multiple rays from a central point of the home grid, and determine the number of intersection points of the multiple rays and a frame of at least one geographic area;
if the number of intersection points with the frame of the target geographic area in the at least one geographic area is odd, determining that the target geographic area is the home geographic area of the home grid; and if the number of the intersection points of the frame of all the geographic areas in the at least one geographic area is even, determining that the home grid is positioned outside the at least one geographic area, and re-determining the geographic area.
5. A computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform the meshing processing method of any one of claims 1-2.
6. A gridding processing apparatus, comprising: a processor, a memory, and a communication interface; wherein the communication interface is for communicating with other devices or a communication network, and the memory is for storing one or more programs, the one or more programs including computer executable instructions, which when the apparatus is run, the processor executes the computer executable instructions stored by the memory to cause the apparatus to perform the grid processing method of any one of claims 1-2.
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| CN111177298A (en) * | 2019-12-31 | 2020-05-19 | 湖南高速铁路职业技术学院 | Communication network information geography gridding method based on area method |
| CN111931006A (en) * | 2020-07-29 | 2020-11-13 | 厦门蓝海天信息技术有限公司 | Storage method of ocean lattice point data |
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