CN116257559A - Method and device for associating person with address based on space grid and electronic equipment - Google Patents
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Abstract
The invention provides a method and a device for associating a person with an address based on a space grid and electronic equipment. The method for associating the person with the address based on the space grid comprises the following steps: performing space grid coding on the acquired standard address to obtain space grid coding of the address; space grid coding is carried out on population information to obtain space grid coding of the population information; space grid coding is carried out on the space data of each address; whether a person is associated with an address is determined based on the spatial grid coding of the address, the spatial grid coding of demographic information, and the spatial grid coding of the spatial data for each address. By applying space grid coding to discretize the human and address data, the data are organized in the grid range under the same space system, the space expression range of the data is increased, thereby reducing the requirement on the data quality and improving the matching rate.
Description
Technical Field
The invention belongs to the technical field of space association, and particularly relates to a method and a device for associating a person with an address based on a space grid and electronic equipment.
Background
In the big data age, accurate person and address information can provide detailed address information for life, and convenience is brought to travel; mail, express and the like can be rapidly and accurately delivered; when police and fire fighting receive police, the fire fighting can be accurately and efficiently treated at the first time; the registering procedure of the house property rights is convenient to transact, and the population information basis can be provided for participating in social business activities and transacting related procedures.
At present, a corresponding relation is established between a literal description address and a geographic position coordinate of a space of the literal description address, an address matching service searches a matching object for the address according to a specific step, searches address matching reference data, searches a corresponding position, and performs accurate matching of the address and the coordinate according to comparison with the address and the coordinate position.
In order to improve the matching rate of people and addresses, manual on-site collection and verification are needed to carry out one-by-one verification on the buildings, units and rooms of communities, the method is high in cost, large in population mobility, and after a period of time, the verified information cannot reflect the actual situation, cannot be applied to business management, and is not suitable for management and application of modern big data.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method, a device and electronic equipment for associating people with addresses based on a space grid, which at least partially solve the problems of high requirements on data quality, low association proportion, high field acquisition labor cost and poor timeliness of the association method in the prior art.
In a first aspect, an embodiment of the present disclosure provides a method for associating a person with an address based on a spatial grid, including:
performing space grid coding on the acquired standard address to obtain space grid coding of the address;
space grid coding is carried out on population information to obtain space grid coding of the population information;
space grid coding is carried out on the space data of each address;
whether a person is associated with an address is determined based on the spatial grid coding of the address, the spatial grid coding of demographic information, and the spatial grid coding of the spatial data for each address.
Optionally, the step of determining whether the person is associated with the address further includes:
and carrying out refined matching in the building based on the association relation.
Optionally, the performing spatial grid coding on the obtained standard address to obtain spatial grid coding of the address includes:
traversing each standard address information to obtain longitude and latitude coordinate information corresponding to the standard address;
acquiring information representing an address hierarchy from standard address data, and determining a data subdivision hierarchy according to the use requirement or standard address hierarchy data precision and a subdivision hierarchy strategy;
based on the grid coding technology, determining grid codes corresponding to the space objects according to the space information and the subdivision hierarchy, and generating a unified identifier of the space objects, thereby completing the space grid coding of the standard address.
Optionally, the spatial grid coding the population information to obtain spatial grid coding of the population information includes:
inputting an original business address, requesting to call an inverse address resolution service;
the inverse address resolution service returns the most matched standard address and the corresponding space grid code;
and endowing the space grid codes obtained by the inverse address resolution service with corresponding population information, and finishing the space grid coding of the population information.
Optionally, the inverse address resolution service returns the most matched standard address and its corresponding space grid code, including:
and (3) carrying out address identification, address authenticity identification, address data cleaning and address standardization on the input address based on the address corpus and the NLP algorithm.
Optionally, the spatial grid coding of the spatial data of each address includes:
space grid coding is performed on the space data of each address based on longitude and latitude coordinate vector data of the building.
Optionally, spatial trellis encoding spatial data for each address includes:
the point objects are represented by a single grid, and the line objects or the plane objects are represented by a set of grids covered by the point objects.
Optionally, determining whether the person is associated with the address based on the spatial grid coding of the address, the spatial grid coding of the demographic information, and the spatial grid coding of the spatial data of each address includes:
establishing a grid buffer area, wherein the grid buffer area is based on point, line and surface entities, and automatically establishes a buffer area grid range within a certain width range around the grid buffer area;
and superposing the grid buffer layer and the target layer, and analyzing the superposition part to judge whether the spatial grid coding of the population information falls in the grid buffer region range or not, thereby judging whether the person is associated with the address or not.
In a second aspect, an embodiment of the present disclosure further provides a person-to-address association apparatus based on a spatial grid, including:
the address coding module is used for performing space grid coding on the acquired standard address to obtain space grid coding of the address;
the population coding module is used for carrying out space grid coding on population information to obtain space grid coding of the population information;
the address space coding module is used for carrying out space grid coding on the space data of each address;
and the association judging module is used for judging whether the person is associated with the address or not based on the space grid coding of the address, the space grid coding of the population information and the space grid coding of the space data of each address.
In a third aspect, embodiments of the present disclosure further provide an electronic device, including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the spatial grid-based person-to-address association methods of the first aspect.
In a fourth aspect, embodiments of the present disclosure further provide a computer-readable storage medium storing computer instructions for causing a computer to perform any one of the spatial grid-based person-to-address association methods of the first aspect.
According to the method, the device and the electronic equipment for associating the person with the address based on the space grid, which are provided by the invention, the discretization processing is carried out on the person and the address data by applying the space grid coding, so that the data are organized in the grid range under the same space system, the space expression range of the data is increased, the requirement on the quality of the data is reduced, and the matching rate is improved.
Through the space grid, the multi-source information standardization processing is realized, and the multi-source information standardization processing is unified under the space grid framework, so that the problem of low matching degree caused by poor data quality is solved. Meanwhile, the existing information is too fast in change, strong in population mobility, automatic association processing of the information, running of a real-time data driver, improving of working efficiency, and solving of the problems of large manual workload and low timeliness.
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The foregoing and other objects, features and advantages of the disclosure will be apparent from the following more particular descriptions of exemplary embodiments of the disclosure as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the disclosure.
FIG. 1 is a flow chart of a method for associating people with addresses based on a spatial grid provided in an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an encoding manner of a spatial object according to an embodiment of the disclosure;
fig. 3 is a schematic diagram of overlapping a grid buffer range and population information according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a person associated with a household provided by an embodiment of the present disclosure;
FIG. 5 is a schematic block diagram of a spatial grid-based person-to-address association apparatus provided in an embodiment of the present disclosure;
fig. 6 is a schematic block diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
It should be appreciated that the following specific embodiments of the disclosure are described in order to provide a better understanding of the present disclosure, and that other advantages and effects will be apparent to those skilled in the art from the present disclosure. It will be apparent that the described embodiments are merely some, but not all embodiments of the present disclosure. The disclosure may be embodied or practiced in other different specific embodiments, and details within the subject specification may be modified or changed from various points of view and applications without departing from the spirit of the disclosure. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure are intended to be within the scope of this disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should also be noted that the illustrations provided in the following embodiments merely illustrate the basic concepts of the disclosure by way of illustration, and only the components related to the disclosure are shown in the illustrations, rather than being drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complex.
In addition, in the following description, specific details are provided in order to provide a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects may be practiced without these specific details.
For easy understanding, as shown in fig. 1, the present embodiment discloses a method for associating people with addresses based on a spatial grid, including:
step S101: performing space grid coding on the acquired standard address to obtain space grid coding of the address;
optionally, the performing spatial grid coding on the obtained standard address to obtain spatial grid coding of the address includes:
traversing each standard address information to obtain longitude and latitude coordinate information corresponding to the standard address;
acquiring information representing an address hierarchy from standard address data, and determining a data subdivision hierarchy according to the use requirement or standard address hierarchy data precision and a subdivision hierarchy strategy;
based on the grid coding technology, determining grid codes corresponding to the space objects according to the space information and the subdivision hierarchy, and generating a unified identifier of the space objects, thereby completing the space grid coding of the standard address.
Step S102: space grid coding is carried out on population information to obtain space grid coding of the population information;
optionally, the spatial grid coding the population information to obtain spatial grid coding of the population information includes:
inputting an original business address, requesting to call an inverse address resolution service;
the inverse address resolution service returns the most matched standard address and the corresponding space grid code;
and endowing the space grid codes obtained by the inverse address resolution service with corresponding population information, and finishing the space grid coding of the population information.
Optionally, the inverse address resolution service returns the most matched standard address and its corresponding space grid code, including:
and (3) carrying out address identification, address authenticity identification, address data cleaning and address standardization on the input address based on the address corpus and the NLP algorithm.
Step S103: space grid coding is carried out on the space data of each address;
optionally, the spatial grid coding of the spatial data of each address includes:
space grid coding is performed on the space data of each address based on longitude and latitude coordinate vector data of the building.
Optionally, spatial trellis encoding spatial data for each address includes:
the point objects are represented by a single grid, and the line objects or the plane objects are represented by a set of grids covered by the point objects.
Step S104: whether a person is associated with an address is determined based on the spatial grid coding of the address, the spatial grid coding of demographic information, and the spatial grid coding of the spatial data for each address.
Optionally, determining whether the person is associated with the address based on the spatial grid coding of the address, the spatial grid coding of the demographic information, and the spatial grid coding of the spatial data of each address includes:
establishing a grid buffer area, wherein the grid buffer area is based on point, line and surface entities, and automatically establishes a buffer area grid range within a certain width range around the grid buffer area;
and superposing the grid buffer layer and the target layer, and analyzing the superposition part to judge whether the spatial grid coding of the population information falls in the grid buffer region range or not, thereby judging whether the person is associated with the address or not.
Optionally, the step of determining whether the person is associated with the address further includes:
step S105: and carrying out refined matching in the building based on the association relation.
In a specific application scenario, the method for associating people with addresses based on the spatial grid specifically comprises the following steps:
The specific process is as follows: 1) Traversing each standard address information to obtain longitude and latitude coordinate information corresponding to the standard address; 2) Obtaining information representing an address level from standard address data, such as communities, buildings, households and the like, and determining a data subdivision level according to use requirements or standard address level data precision and subdivision level strategies; 3) Based on the grid coding technology, the grid coding corresponding to the space object (namely the grid) is determined according to the space information and the subdivision hierarchy level, and the unified identification of the space object (namely the grid) is generated, so that the space grid coding of the standard address is completed, namely the grid subdivision is carried out according to the space position or the related space range under the grid framework, and the grid coding corresponding to the space position or the related space range is determined.
The grid coding mainly endows grids of each standard address with grid codes, expands the original point information into domain information based on space grids, and expands the space expression range of the standard addresses. The matching calculation range is enlarged under the condition of accuracy permission, and the data association proportion can be effectively improved.
And 2, spatial grid coding of population information. The information of household registration, address, real estate registration and the like of the person is generally text information, does not contain space coordinate information, and needs to call the inverse address resolution service provided by the standard address library, perform standardized processing such as error correction, complementation, structuring and the like on the original business address, and return the latest standard address and space grid coding.
The specific process is as follows: 1) Inputting an original business address, requesting to call an inverse address resolution service; 2) The inverse address analysis service relies on a massive address corpus and an NLP algorithm to identify the input address, identify the true or false of the address, provide address data cleaning and address standardization capacity, enable the address data to better support the service, solve a plurality of problems such as one place and multiple names, and return the most matched standard address and the corresponding space grid code (step 1, the grid code is already carried out for the standard address); 3) And giving the space grid codes obtained through the inverse address resolution service to the corresponding population information, thereby completing the space grid codes of the population information, namely, under a grid framework, obtaining the space positions of the population information through the address text information, and determining the corresponding grid codes of the population information.
And 3, spatial grid coding of the address information. The existing building vector boundaries, BIM models, households, religions and the like are vector data, the information is directly provided with longitude and latitude coordinate information, and space grid coding is carried out on the space data of each address. The points, lines, faces have different spatially subdivision representations, where the point objects are represented by a single grid and the line, face objects are represented by a collection of grids that they cover. As shown in fig. 2.
And 4, unifying the space grid frames of the multi-source information, and performing space grid buffer area analysis matching. And carrying out Beidou grid coding on the multi-source information of the people and the rooms according to the Beidou grid coding standard, realizing the spatial meshing of the information, and uniformly expressing the multi-source information of the people and the addresses in a spatial grid domain coordinate form. I.e. under the grid framework, both the person and the address have a corresponding representation of the grid location or grid set in which they are located. And the data identification is unified by using grid coding. Whether the person is associated with the address is determined by comparing whether the trellis code, such as the person's trellis code, is included in the set of trellis codes for the address.
The specific process is as follows: 1) And building grid buffer areas such as buildings, cells and the like. The grid buffer area is a buffer area grid range which is automatically established within a certain width range around the grid buffer area on the basis of point, line and surface entities (such as buildings and cells); 2) And overlapping the building and cell grid buffer range layer and a target layer (such as population information), analyzing, and judging whether the coding of the population information falls in the building and cell grid buffer range or not, thereby obtaining a result of whether the person is associated with the address or not. As shown in fig. 3, the text in fig. 3 does not affect the clarity and completeness of the embodiment.
Based on the grid range set of addresses of buildings, cells and the like, a grid buffer zone with a certain range is constructed, the problem of proximity is solved, and the proximity describes the degree that the distances between two ground objects in the geographic space are similar. As much as possible, the associated demographic information falls within the grid buffer because the spatial location of the population is not necessarily very accurate.
And 5, finely matching the rooms in the building. On the basis of establishing association between a person and an address, fine matching is performed, if the person is already associated with a building, the information association between the person and a house is realized by intercepting and matching the person and the unit house in the building according to the unit house number in the information such as the household number and the address of the person. As shown in fig. 4.
As shown in fig. 5, this embodiment further discloses a device for associating people with addresses based on a spatial grid, which includes:
the address coding module is used for performing space grid coding on the acquired standard address to obtain space grid coding of the address;
the population coding module is used for carrying out space grid coding on population information to obtain space grid coding of the population information;
the address space coding module is used for carrying out space grid coding on the space data of each address;
and the association judging module is used for judging whether the person is associated with the address or not based on the space grid coding of the address, the space grid coding of the population information and the space grid coding of the space data of each address.
Optionally, the apparatus further comprises:
and the refinement module is used for performing refinement matching in the building based on the association relation.
Optionally, the performing spatial grid coding on the obtained standard address to obtain spatial grid coding of the address includes:
traversing each standard address information to obtain longitude and latitude coordinate information corresponding to the standard address;
acquiring information representing an address hierarchy from standard address data, and determining a data subdivision hierarchy according to the use requirement or standard address hierarchy data precision and a subdivision hierarchy strategy;
based on the grid coding technology, determining grid codes corresponding to the space objects according to the space information and the subdivision hierarchy, and generating a unified identifier of the space objects, thereby completing the space grid coding of the standard address.
Optionally, the spatial grid coding the population information to obtain spatial grid coding of the population information includes:
inputting an original business address, requesting to call an inverse address resolution service;
the inverse address resolution service returns the most matched standard address and the corresponding space grid code;
and endowing the space grid codes obtained by the inverse address resolution service with corresponding population information, and finishing the space grid coding of the population information.
Optionally, the inverse address resolution service returns the most matched standard address and its corresponding space grid code, including:
and (3) carrying out address identification, address authenticity identification, address data cleaning and address standardization on the input address based on the address corpus and the NLP algorithm.
Optionally, the spatial grid coding of the spatial data of each address includes:
space grid coding is performed on the space data of each address based on longitude and latitude coordinate vector data of the building.
Optionally, spatial trellis encoding spatial data for each address includes:
the point objects are represented by a single grid, and the line objects or the plane objects are represented by a set of grids covered by the point objects.
Optionally, determining whether the person is associated with the address based on the spatial grid coding of the address, the spatial grid coding of the demographic information, and the spatial grid coding of the spatial data of each address includes:
establishing a grid buffer area, wherein the grid buffer area is based on point, line and surface entities, and automatically establishes a buffer area grid range within a certain width range around the grid buffer area;
and superposing the grid buffer layer and the target layer, and analyzing the superposition part to judge whether the spatial grid coding of the population information falls in the grid buffer region range or not, thereby judging whether the person is associated with the address or not.
The electronic device disclosed in the embodiment includes a memory and a processor. The memory is for storing non-transitory computer readable instructions. In particular, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform the desired functions. In one embodiment of the present disclosure, the processor is configured to execute the computer readable instructions stored in the memory to cause the electronic device to perform all or part of the steps of the spatial grid-based person-to-address association method of the embodiments of the present disclosure described above.
It should be understood by those skilled in the art that, in order to solve the technical problem of how to obtain a good user experience effect, the present embodiment may also include well-known structures such as a communication bus, an interface, and the like, and these well-known structures are also included in the protection scope of the present disclosure.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. A schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure is shown. The electronic device shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 6, the electronic device may include a processing means (e.g., a central processing unit, a graphic processor, etc.) that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage means into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processing device, ROM and RAM are connected to each other via a bus. An input/output (I/O) interface is also connected to the bus.
In general, the following devices may be connected to the I/O interface: input means including, for example, sensors or visual information gathering devices; output devices including, for example, display screens and the like; storage devices including, for example, magnetic tape, hard disk, etc.; a communication device. The communication means may allow the electronic device to communicate wirelessly or by wire with other devices, such as edge computing devices, to exchange data. While fig. 6 shows an electronic device having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via a communication device, or installed from a storage device, or installed from ROM. When executed by a processing device, performs all or part of the steps of a spatial grid-based person-to-address association method of an embodiment of the present disclosure.
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
A computer-readable storage medium according to an embodiment of the present disclosure has stored thereon non-transitory computer-readable instructions. When executed by a processor, perform all or part of the steps of the spatial grid-based person-to-address association method of the various embodiments of the disclosure described above.
The computer-readable storage medium described above includes, but is not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or removable hard disk), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
The basic principles of the present disclosure have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present disclosure are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present disclosure. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, since the disclosure is not necessarily limited to practice with the specific details described.
In this disclosure, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions, and the block diagrams of devices, apparatuses, devices, systems involved in this disclosure are merely illustrative examples and are not intended to require or implicate that connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
In addition, as used herein, the use of "or" in the recitation of items beginning with "at least one" indicates a separate recitation, such that recitation of "at least one of A, B or C" for example means a or B or C, or AB or AC or BC, or ABC (i.e., a and B and C). Furthermore, the term "exemplary" does not mean that the described example is preferred or better than other examples.
It is also noted that in the systems and methods of the present disclosure, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered equivalent to the present disclosure.
Various changes, substitutions, and alterations are possible to the techniques described herein without departing from the teachings of the techniques defined by the appended claims. Furthermore, the scope of the claims of the present disclosure is not limited to the particular aspects of the process, machine, manufacture, composition of matter, means, methods and acts described above. The processes, machines, manufacture, compositions of matter, means, methods, or acts, presently existing or later to be developed that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein may be utilized. Accordingly, the appended claims are intended to include within their scope such processes, machines, manufacture, compositions of matter, means, methods, or acts.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the disclosure to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.
Claims (10)
1. A method for associating a person with an address based on a spatial grid, comprising:
performing space grid coding on the acquired standard address to obtain space grid coding of the address;
space grid coding is carried out on population information to obtain space grid coding of the population information;
space grid coding is carried out on the space data of each address;
whether a person is associated with an address is determined based on the spatial grid coding of the address, the spatial grid coding of demographic information, and the spatial grid coding of the spatial data for each address.
2. The method for associating a person with an address based on a spatial grid according to claim 1, wherein the step of determining whether the person is associated with the address further comprises:
and carrying out refined matching in the building based on the association relation.
3. The method for associating a person with an address based on a space grid according to claim 1, wherein the step of performing space grid coding on the obtained standard address to obtain a space grid coding of the address comprises the steps of:
traversing each standard address information to obtain longitude and latitude coordinate information corresponding to the standard address;
acquiring information representing an address hierarchy from standard address data, and determining a data subdivision hierarchy according to the use requirement or standard address hierarchy data precision and a subdivision hierarchy strategy;
based on the grid coding technology, determining grid codes corresponding to the space objects according to the space information and the subdivision hierarchy, and generating a unified identifier of the space objects, thereby completing the space grid coding of the standard address.
4. The method for associating a person with an address based on a space grid according to claim 1, wherein the performing space grid coding on population information to obtain space grid coding on population information comprises:
inputting an original business address, requesting to call an inverse address resolution service;
the inverse address resolution service returns the most matched standard address and the corresponding space grid code;
and endowing the space grid codes obtained by the inverse address resolution service with corresponding population information, and finishing the space grid coding of the population information.
5. The method of spatial grid-based person-to-address association of claim 4, wherein the inverse address resolution service returns a best matching standard address and its corresponding spatial grid code, comprising:
and (3) carrying out address identification, address authenticity identification, address data cleaning and address standardization on the input address based on the address corpus and the NLP algorithm.
6. The spatial grid-based person-to-address association method of claim 1, wherein the spatial grid encoding the spatial data for each address comprises:
space grid coding is performed on the space data of each address based on longitude and latitude coordinate vector data of the building.
7. The spatial grid-based person-to-address association method of claim 6, wherein spatially grid encoding the spatial data for each address comprises:
the point objects are represented by a single grid, and the line objects or the plane objects are represented by a set of grids covered by the point objects.
8. The spatial grid-based person-to-address association method according to claim 1, wherein determining whether a person is associated with an address based on spatial grid coding of the address, spatial grid coding of population information, and spatial grid coding of spatial data of each address, comprises:
establishing a grid buffer area, wherein the grid buffer area is based on point, line and surface entities, and automatically establishes a buffer area grid range within a certain width range around the grid buffer area;
and superposing the grid buffer layer and the target layer, and analyzing the superposition part to judge whether the spatial grid coding of the population information falls in the grid buffer region range or not, thereby judging whether the person is associated with the address or not.
9. A spatial grid-based person-to-address association apparatus, comprising:
the address coding module is used for performing space grid coding on the acquired standard address to obtain space grid coding of the address;
the population coding module is used for carrying out space grid coding on population information to obtain space grid coding of the population information;
the address space coding module is used for carrying out space grid coding on the space data of each address;
and the association judging module is used for judging whether the person is associated with the address or not based on the space grid coding of the address, the space grid coding of the population information and the space grid coding of the space data of each address.
10. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the spatial grid-based person-to-address association method of any one of claims 1-8.
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| CN202310272529.8A CN116257559A (en) | 2023-03-16 | 2023-03-16 | Method and device for associating person with address based on space grid and electronic equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116501827A (en) * | 2023-06-26 | 2023-07-28 | 北明成功软件(山东)有限公司 | BIM-based market subject and building address matching and positioning method |
| CN117271695A (en) * | 2023-11-20 | 2023-12-22 | 浙江华东工程数字技术有限公司 | Vector space data superposition analysis method and device, electronic equipment and storage medium |
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2023
- 2023-03-16 CN CN202310272529.8A patent/CN116257559A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116501827A (en) * | 2023-06-26 | 2023-07-28 | 北明成功软件(山东)有限公司 | BIM-based market subject and building address matching and positioning method |
| CN116501827B (en) * | 2023-06-26 | 2023-09-12 | 北明成功软件(山东)有限公司 | BIM-based market subject and building address matching and positioning method |
| CN117271695A (en) * | 2023-11-20 | 2023-12-22 | 浙江华东工程数字技术有限公司 | Vector space data superposition analysis method and device, electronic equipment and storage medium |
| CN117271695B (en) * | 2023-11-20 | 2024-02-20 | 浙江华东工程数字技术有限公司 | Vector space data superposition analysis method and device, electronic equipment and storage medium |
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