A ubiquitous location information organization method based on geospatial grid domain names

Abstract

The present invention relates to a ubiquitous location information organization method based on geospatial grid domain names, comprising: S1, setting geospatial grid domain name partition index table fields; S2, determining geospatial grid domain name partition index table partition strategy; S3, establishing geospatial grid domain name partition index table index mechanism; S4, performing geospatial grid domain name management based on multiple granularities. The method can realize ubiquitous location information organization management based on geospatial grid domain names.

Description

Technical Field

[0001] The present invention relates to the technical field of location information processing, and in particular to a ubiquitous location information organization method based on geospatial grid domain names. Background Art

[0002] A large number of ubiquitous location information with heterogeneous, fragmented and real-time data streams have emerged, and the publishing format of ubiquitous location information is not unified and is usually encoded with temporary vocabulary. For example, the express delivery industry has postal codes used by the State Post Bureau, three-segment codes and four-segment codes formulated by express delivery companies for their respective business needs, real estate codes in the land industry, and various types of urban component codes in the smart city industry. This has formed information islands, which has brought difficulties to the sharing and integration of ubiquitous location information. At present, the description and processing of ubiquitous location information in the coordinate-based point location framework is extremely cumbersome. Therefore, it is necessary to design a technical system that can unify the location coding identifiers of various industries and organize the ubiquitous location information in a unified manner, so as to achieve effective management, retrieval and application of ubiquitous location information. Summary of the invention

[0003] The purpose of the present invention is to provide a ubiquitous location information organization method based on geospatial grid domain names, which can realize ubiquitous location information organization and management based on geospatial grid domain names.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is: a ubiquitous location information organization method based on geospatial grid domain name, comprising:

[0005] S1. Set the geospatial grid domain name partition index table field;

[0006] S2, determine the geospatial grid domain name partition index large table segmentation strategy;

[0007] S3. Establishing a large table indexing mechanism for geospatial grid domain name partitioning indexes;

[0008] S4. Conduct domain name management based on multi-granularity geospatial grid.

[0009] Furthermore, if the geospatial grid domain name partition index table adopts a relational database, the table structure of the geospatial grid domain name partition index table includes the following fields:

[0010] 1) Self-increment code (ID): NUMBER 10 type;

[0011] 2) Spatial segmentation code (GEONUMBER): NUMBER 36 type;

[0012] 3) Time segmentation code (TIMENUMBER): NUMBER 36 type;

[0013] 4) New organization code (NEWORGANIZATIONCODE): VARCHAR 33 type;

[0014] 5) Organization label (O_LABEL): VARCHAR2 100 type;

[0015] 6) Area label (A_LABEL): VARCHAR2 100 type;

[0016] 7) Exclusive label (P_LABEL): VARCHAR2 100 type;

[0017] 8) Block / community name (BLOCK): VARCHAR2 50 type;

[0018] 9) Building number (BUILDING): VARCHAR2 50 type;

[0019] 10) Unit number (UNIT): VARCHAR2 50 type;

[0020] 11) Room number (ROOMNUM): NUMBER 20 type;

[0021] 12) Floor (FLOOR): NUMBER 4 type;

[0022] 13) Longitude, unit degree (LONGITUDE): NUMBER 10,9 type;

[0023] 14) Latitude, unit degree (LATITUDE): NUMBER 10,9 type;

[0024] 15) Other attribute codes;

[0025] Among them, each data entry in the geospatial grid domain name partition index table represents a certain type of organization information of the space grid corresponding to a certain geospatial grid domain name, including domain name registration time, grid space location information, and a certain type of grid organization attribute information; in the geospatial grid domain name partition index table, the geospatial space is stored in the form of grid organization and geospatial grid domain name retrieval; the number of entries in the geospatial grid domain name partition index table is the sum of all organization types of all grids.

[0026] Furthermore, if the geospatial grid domain name partition index table adopts a non-relational database, the table structure of the geospatial grid domain name partition index table includes the following fields:

[0027] 1) Self-increment code (ID): NUMBER 10 type;

[0028] 2) Spatial segmentation code (GEONUMBER): NUMBER 36 type;

[0029] 3) Time segmentation code (TIMENUMBER): NUMBER 36 type;

[0030] 4) New organization code set (NEWORGANIZATIONCODESET): VARCHAR 33 type;

[0031] 5) Organization label (O_LABEL): VARCHAR2 100 type;

[0032] 6) Area label (A_LABEL): VARCHAR2 100 type;

[0033] 7) Exclusive label (P_LABEL): VARCHAR2 100 type;

[0034] 8) Block / community name (BLOCK): VARCHAR2 50 type;

[0035] 9) Building number (BUILDING): VARCHAR2 50 type;

[0036] 10) Unit number (UNIT): VARCHAR2 50 type;

[0037] 11) Room number (ROOMNUM): NUMBER 20 type;

[0038] 12) Floor (FLOOR): NUMBER 4 type;

[0039] 13) Longitude, unit degree (LONGITUDE): NUMBER 10,9 type;

[0040] 14) Latitude, unit degree (LATITUDE): NUMBER 10,9 type;

[0041] 15) Other attribute code key pair values;

[0042] Among them, each data entry in the geospatial grid domain name partition index table represents the set of all types of spatial grid organizations corresponding to a geospatial grid domain name, including domain name registration time, grid space location information, and grid type organization set attribute information; all types of organizations are bundled together, and in the geospatial grid domain name partition index table, the geospatial space is stored in the form of grid organization and geospatial grid domain name retrieval; the number of entries in the geospatial grid domain name partition index table is the sum of all grids corresponding to all geospatial grid domain names.

[0043] Furthermore, the geospatial grid domain name partitioning index large table partitioning strategy includes:

[0044] Physical segmentation of the index table based on the organization domain name: Physical segmentation of the geospatial grid domain name partition index table is performed according to the organization domain name type, and the ubiquitous location information corresponding to different organization domain names is stored in different index tables;

[0045] Physical segmentation of the index table based on regional domain names: Physical segmentation of the geospatial grid domain name segmentation index table is performed according to spatial segmentation to solve the problem of overflow of ubiquitous location information data entries caused by the large global scale;

[0046] Physical segmentation of the index table based on time span: The geospatial grid domain name segmentation index table is physically segmented according to the time span, that is, the specific ubiquitous location information has a time attribute, and this attribute item is used to divide the geospatial grid domain name segmentation index table in equal or variable proportions.

[0047] Furthermore, the indexing mechanism of the geospatial grid domain name partition index table is as follows: through the GeoSOT spatial code generation operation, the spatial location information of the ubiquitous location information is converted into GeoSOT partition code, and then the ubiquitous location information is associated through the organization domain name, regional domain name and exclusive domain name, and the metadata and attribute information of the ubiquitous location information are obtained as the query primary key (QPK), and the partition index table based on the geospatial grid domain name is established.

[0048] Furthermore, for the _ARN_ index, the specific formula is expressed as follows:

[0049]

[0050] Where a is the number of types of organization labels in GGRN-SIBT, n is the level of regional labels, O_Label is the number of level n area labels under the organization label of type i. i Organize the labels for the i-th type, Label the jth region under the i-th type organization label;

[0051] Store the JSON file in the database, and store the organization label column, the GeoSOT-based region label column, and its relationship with the ubiquitous location information. The ubiquitous location information is saved in the partition index table based on the geospatial grid domain name. The ubiquitous location information is located in the GeoSOT system according to its header file parameters. The ubiquitous location information is obtained through the combination of the parent path and information name of the ubiquitous location information, and the ubiquitous location information metadata is retrieved in the geospatial grid domain name partition index table to obtain the complete ubiquitous location information. The attribute storage expression formula of the geospatial grid domain name partition index table is as follows:

[0052]

[0053] Among them, Attribute(QPK) is the attribute information of the ubiquitous location information corresponding to QPK, c is the number of attribute columns, attribute is the ubiquitous location sub-attribute information, and INCLUDE() is the defined attribute inclusion operation.

[0054] Furthermore, when performing domain name management, only the records of domain name hotspots in the index table are segmented instead of the entire earth space grid domain name segmentation index table;

[0055] When selecting the index type of the geospatial grid domain name, first count the frequency of regional domain names, that is, the frequency of the combination of organization number and regional number, and sort them in descending order according to frequency.

[0056] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a ubiquitous location information organization method based on geospatial grid domain names, and uses a geospatial grid domain name partition index table to store and index ubiquitous location information of different industries. The geospatial grid domain name partition index table better solves the problem of accurate location cognition between humans and machines by registering, managing and accessing ubiquitous location information of different industries in the form of geospatial grid domain names. As a carrier of ubiquitous location information grid representation, the geospatial grid domain name partition index table replaces spatial calculation operations with geospatial grid domain name queries, thereby reducing the complexity of spatial database indexing. The basic framework of the geospatial grid domain name partition index table is a spatiotemporal partition grid architecture, which is used to establish corresponding physical storage and indexing. In the geospatial grid domain name partition index table, the geospatial grid domain name index primary key and the grid code index primary key coexist and map to each other. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a flow chart of a method implementation of an embodiment of the present invention;

[0058] Figure 2 It is the reverse order of the regional domain names in the embodiment of the present invention. DETAILED DESCRIPTION

[0059] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0060] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0061] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0062] In order to implement grid organization and management of ubiquitous location information, this embodiment provides a ubiquitous location information organization method based on geospatial grid domain names. Figure 1 As shown, the method includes:

[0063] S1. Set the geospatial grid domain name partition index table fields

[0064] The geospatial grid domain name partition index table contains several core elements such as organization number, regional number and exclusive number. The design of the geospatial grid domain name partition index table and fields needs to comply with the following principles: (1) Standardization and planning. Data standardization and normalization help eliminate data redundancy in the database; (2) It is necessary to consider which fields and data may change in the future; (3) Add a delete mark field to the data table so that rows in the data table can be marked as deleted.

[0065] If the geospatial grid domain name partition index table adopts a relational database, the table structure of the geospatial grid domain name partition index table includes the following fields:

[0066] 1) Self-increment code (ID): NUMBER 10 type;

[0067] 2) Spatial segmentation code (GEONUMBER): NUMBER 36 type;

[0068] 3) Time segmentation code (TIMENUMBER): NUMBER 36 type;

[0069] 4) New organization code (NEWORGANIZATIONCODE): VARCHAR 33 type;

[0070] 5) Organization label (O_LABEL): VARCHAR2 100 type;

[0071] 6) Area label (A_LABEL): VARCHAR2 100 type;

[0072] 7) Exclusive label (P_LABEL): VARCHAR2 100 type;

[0073] 8) Block / community name (BLOCK): VARCHAR2 50 type;

[0074] 9) Building number (BUILDING): VARCHAR2 50 type;

[0075] 10) Unit number (UNIT): VARCHAR2 50 type;

[0076] 11) Room number (ROOMNUM): NUMBER 20 type;

[0077] 12) Floor (FLOOR): NUMBER 4 type;

[0078] 13) Longitude, unit degree (LONGITUDE): NUMBER 10,9 type;

[0079] 14) Latitude, unit degree (LATITUDE): NUMBER 10,9 type;

[0080] 15) Other attribute codes.

[0081] Among them, each data entry in the geospatial grid domain name partition index table represents a type of organization information of the space grid corresponding to a geospatial grid domain name, including domain name registration time, grid space location information, grid type organization attribute information, etc. In the geospatial grid domain name partition index table, the geospatial space is stored in the form of grid organization and geospatial grid domain name retrieval. The number of entries in the geospatial grid domain name partition index table is the sum of all organization types of all grids.

[0082] If the geospatial grid domain name partition index table uses a non-relational database, the table structure of the geospatial grid domain name partition index table includes the following fields:

[0083] 1) Self-increment code (ID): NUMBER 10 type;

[0084] 2) Spatial segmentation code (GEONUMBER): NUMBER 36 type;

[0085] 3) Time segmentation code (TIMENUMBER): NUMBER 36 type;

[0086] 4) New organization code set (NEWORGANIZATIONCODESET): VARCHAR 33 type;

[0087] 5) Organization label (O_LABEL): VARCHAR2 100 type;

[0088] 6) Area label (A_LABEL): VARCHAR2 100 type;

[0089] 7) Exclusive label (P_LABEL): VARCHAR2 100 type;

[0090] 8) Block / community name (BLOCK): VARCHAR2 50 type;

[0091] 9) Building number (BUILDING): VARCHAR2 50 type;

[0092] 10) Unit number (UNIT): VARCHAR2 50 type;

[0093] 11) Room number (ROOMNUM): NUMBER 20 type;

[0094] 12) Floor (FLOOR): NUMBER 4 type;

[0095] 13) Longitude, unit degree (LONGITUDE): NUMBER 10,9 type;

[0096] 14) Latitude, unit degree (LATITUDE): NUMBER 10,9 type;

[0097] 15)Other attribute code key pair values.

[0098] Among them, each data entry in the geospatial grid domain name partition index table represents the set of all types of spatial grids corresponding to a geospatial grid domain name, including domain name registration time, grid space location information, grid type organization set attribute information, etc. All types of organizations are bundled together, and in the geospatial grid domain name partition index table, the geospatial space is stored in the form of grid organization and geospatial grid domain name retrieval. The number of entries in the geospatial grid domain name partition index table is the sum of all grids corresponding to all geospatial grid domain names.

[0099] S2. Determine the geospatial grid domain name partitioning index large table segmentation strategy

[0100] The geospatial grid domain name partitioning index large table segmentation strategy includes:

[0101] (1) Physical segmentation of large index tables based on organization domain names

[0102] The geospatial grid domain name partition index table needs to store the ubiquitous location information of different organization types corresponding to the organization domain name. Therefore, we can physically partition the geospatial grid domain name partition index table according to the organization domain name type, and store the ubiquitous location information corresponding to different organization domain names in different index tables.

[0103] (2) Physical segmentation of large index tables based on regional domain names

[0104] The large table of geospatial grid domain name partition index needs to store global ubiquitous location information. This can be done by partitioning the earth's surface space, that is, physically dividing the large table of geospatial grid domain name partition index according to spatial partition, thereby solving the problem of overflow of the number of ubiquitous location information data entries caused by the large global scale.

[0105] (3) Physical segmentation of large index tables based on time span

[0106] The geospatial grid domain name partition index table has a strong time aggregation, and the geospatial grid domain name partition index table can be physically segmented according to the time span, that is, the specific ubiquitous location information has a time attribute, and this attribute item can be used to divide the geospatial grid domain name partition index table in equal or variable proportions.

[0107] S3. Establishing a large table indexing mechanism for geospatial grid domain name partitioning

[0108] Through the GeoSOT spatial code generation operation, the spatial location information of the ubiquitous location information is converted into GeoSOT segmentation code, and then the ubiquitous location information is associated through the organizational domain name, regional domain name and exclusive domain name, and used as the query primary key (QPK) to obtain the metadata and attribute information of the ubiquitous location information, and establish a segmentation index table based on the earth space grid domain name. As shown in Table 1, we can search according to the organizational domain name, search according to the regional domain name, and search according to the exclusive domain name.

[0109] Table 1 Index list of the geospatial grid domain name partition index table

[0110]

[0111] For example, for the _ARN_ index, the specific formula is as follows:

[0112]

[0113] Where a is the number of types of organization labels in GGRN-SIBT, n is the level of regional labels, O_Label is the number of level n area labels under the organization label of type i. i Organize the labels for the i-th type, Label the jth region under the i-th type organization label.

[0114] In this embodiment, the JSON file is stored in the database, and the organization label column, the area label column based on GeoSOT and its association with the ubiquitous location information are stored in the database. The ubiquitous location information is saved in the index table based on the geospatial grid domain name. The ubiquitous location information is located in the GeoSOT system according to its header file parameters. The ubiquitous location information is obtained by combining the parent path and information name of the ubiquitous location information, and the ubiquitous location information metadata is retrieved in the geospatial grid domain name index table to obtain the complete ubiquitous location information. The attribute storage expression formula of the geospatial grid domain name index table is as follows:

[0115]

[0116] Among them, Attribute(QPK) is the attribute information of the ubiquitous location information corresponding to QPK, c is the number of attribute columns, attribute is the ubiquitous location sub-attribute information, and INCLUDE() is the defined attribute inclusion operation.

[0117] S4. Manage domain names based on multi-granular geospatial grids

[0118] In actual applications, due to the uneven distribution of population, for example, the population distribution in metropolitan areas is very dense, while in sparse areas there may be only one person per kilometer, there are hotspots and non-hotspots for domain name registration, and the amount of domain name data in each area varies greatly. Therefore, when managing domain names, you can only perform segmentation operations on the records of domain name hotspots in the index table instead of the entire geospatial grid domain name partition index table.

[0119] When selecting the index type of the geospatial grid domain name, you can first count the frequency of regional domain names, that is, the frequency of the combination of organization number and regional number, and sort them in descending order according to the frequency, such as Figure 2 As shown, the more frequently appearing regional domain names are easier to be queried, which increases the efficiency of geospatial grid domain name queries and is suitable for query applications in the context of big data.

[0120] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0121] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0122] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0123] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0124] The above is only a preferred embodiment of the present invention, and does not limit the present invention in other forms. Any technician familiar with the profession may use the above disclosed technical content to change or modify it into an equivalent embodiment with equivalent changes. However, any simple modification, equivalent change and modification made to the above embodiment according to the technical essence of the present invention without departing from the technical solution of the present invention still belongs to the protection scope of the technical solution of the present invention.

Claims

1. A ubiquitous location information organization method based on geospatial grid domain names, It is characterized in that include: S1. Set the geospatial grid domain name partition index table field; S2, determine the geospatial grid domain name partition index large table segmentation strategy; S3. Establishing a large table indexing mechanism for geospatial grid domain name partitioning indexes; S4, conduct domain name management based on multi-granularity geospatial grid; The geospatial grid domain name partitioning index large table segmentation strategy includes: Physical segmentation of the index table based on the organization domain name: Physical segmentation of the geospatial grid domain name partition index table is performed according to the organization domain name type, and the ubiquitous location information corresponding to different organization domain names is stored in different index tables; Physical segmentation of the index table based on regional domain names: Physical segmentation of the geospatial grid domain name segmentation index table according to spatial segmentation; Physical segmentation of the index table based on time span: Physical segmentation of the geospatial grid domain name segmentation index table is performed according to the time span. That is, the specific ubiquitous location information has a time attribute, and the geospatial grid domain name segmentation index table is divided into equal or variable proportions through this attribute item; The indexing mechanism of the geospatial grid domain name partition index table is as follows: through the GeoSOT spatial code generation operation, the spatial location information of the ubiquitous location information is converted into the GeoSOT partition code, and then the ubiquitous location information is associated through the organization domain name, regional domain name and exclusive domain name, and the metadata and attribute information of the ubiquitous location information are obtained as the query primary key (QPK), and the partition index table based on the geospatial grid domain name is established; For the _ARN_ index, the specific formula is as follows: Where a is the number of types of organization labels, n is the level of regional labels, O_Label is the number of level n area labels under the organization label of type i. i Organize the labels for the i-th type, Label the jth region under the i-th type organization label; Put the JSON file into the database, and store the organization label column, the region label column based on GeoSOT, and the relationship between the organization label column, region label column and ubiquitous location information. The ubiquitous location information is saved in the partition index table based on the geospatial grid domain name. The ubiquitous location information is located in the GeoSOT system according to the header file parameters of the ubiquitous location information. The ubiquitous location information is obtained by combining the parent path and information name of the ubiquitous location information, and the ubiquitous location information metadata is retrieved in the geospatial grid domain name partition index table to obtain the complete ubiquitous location information. The attribute storage expression formula of the geospatial grid domain name partition index table is as follows: Among them, Attribute(QPK) is the attribute information of the ubiquitous location information corresponding to QPK, c is the number of attribute columns, attribute is the ubiquitous location sub-attribute information, and INCLUDE() is the defined attribute inclusion operation.

2. A ubiquitous location information organization method based on geospatial grid domain names according to claim 1, It is characterized in that If the geospatial grid domain name partition index table adopts a relational database, the table structure of the geospatial grid domain name partition index table includes the following fields: 1) Self-increment code (ID): NUMBER 10 type; 2) Spatial segmentation code (GEONUMBER): NUMBER 36 type; 3) Time segmentation code (TIMENUMBER): NUMBER 36 type; 4) Organization code (NEWORGANIZATIONCODE): VARCHAR 33 type; 5) Organization label (O_LABEL): VARCHAR2 100 type; 6) Area label (A_LABEL): VARCHAR2 100 type; 7) Exclusive label (P_LABEL): VARCHAR2 100 type; 8) Block / community name (BLOCK): VARCHAR2 50 type; 9) Building number (BUILDING): VARCHAR2 50 type; 10) Unit number (UNIT): VARCHAR2 50 type; 11) Room number (ROOMNUM): NUMBER 20 type; 12) Floor (FLOOR): NUMBER 4 type; 13) Longitude, unit degree (LONGITUDE): NUMBER 10,9 type; 14) Latitude, unit degree (LATITUDE): NUMBER 10,9 type; Among them, each data entry in the geospatial grid domain name partition index table represents a certain type of organization information of the space grid corresponding to a certain geospatial grid domain name, including domain name registration time, grid space location information, and a certain type of grid organization attribute information; in the geospatial grid domain name partition index table, the geospatial space is stored in the form of grid organization and geospatial grid domain name retrieval; the number of entries in the geospatial grid domain name partition index table is the sum of all organization types of all grids.

3. The ubiquitous location information organization method based on geospatial grid domain name according to claim 1, It is characterized in that If the geospatial grid domain name partition index table uses a non-relational database, the table structure of the geospatial grid domain name partition index table includes the following fields: 1) Self-increment code (ID): NUMBER 10 type; 2) Spatial segmentation code (GEONUMBER): NUMBER 36 type; 3) Time segmentation code (TIMENUMBER): NUMBER 36 type; 4) Organization code set (NEWORGANIZATIONCODESET): VARCHAR 33 type; 5) Organization label (O_LABEL): VARCHAR2 100 type; 6) Area label (A_LABEL): VARCHAR2 100 type; 7) Exclusive label (P_LABEL): VARCHAR2 100 type; 8) Block / community name (BLOCK): VARCHAR2 50 type; 9) Building number (BUILDING): VARCHAR2 50 type; 10) Unit number (UNIT): VARCHAR2 50 type; 11) Room number (ROOMNUM): NUMBER 20 type; 12) Floor (FLOOR): NUMBER 4 type; 13) Longitude, unit degree (LONGITUDE): NUMBER 10,9 type; 14) Latitude, unit degree (LATITUDE): NUMBER 10,9 type; Among them, each data entry in the geospatial grid domain name partition index table represents the set of all types of spatial grid organizations corresponding to a geospatial grid domain name, including domain name registration time, grid space location information, and grid type organization set attribute information; all types of organizations are bundled together, and in the geospatial grid domain name partition index table, the geospatial space is stored in the form of grid organization and geospatial grid domain name retrieval; the number of entries in the geospatial grid domain name partition index table is the sum of all grids corresponding to all geospatial grid domain names.

4. The ubiquitous location information organization method based on geospatial grid domain name according to claim 1, It is characterized in that When performing domain name management, only the records of domain name hotspots in the index table are segmented instead of the entire geospatial grid domain name segmentation index table; When selecting the index type of the geospatial grid domain name, first count the frequency of occurrence of the regional domain name, that is, the frequency of the combination of the organization number and the regional number, and sort them in descending order according to the frequency.

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