CN115730028B - Multi-source heterogeneous city data spatial integration method, system, medium and equipment - Google Patents
Multi-source heterogeneous city data spatial integration method, system, medium and equipment Download PDFInfo
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Abstract
The application discloses a multi-source heterogeneous city data spatial integration method, a device, a medium and equipment, wherein the method comprises the following steps: acquiring workflow text data of a city management department, unifying a coordinate system of the data with space coordinates, and storing the unified coordinate system into a database; extracting and assigning place name information based on spatial association, extracting and assigning place feature information based on information association and extracting and assigning administrative information based on code association from data after unifying the coordinate system; extracting urban operation management subject data from the urban operation management text data, matching the urban operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in a database, and performing space coordinate assignment on the urban operation management subject data. The application spatizes various heterogeneous data such as a map with space coordinates and texts, tables and the like without space coordinates, and lays a spatial data warehouse foundation for the development of the works such as intelligent homeland space planning, intelligent city management and the like.
Description
Technical Field
The application belongs to the technical field of urban operation data management, and particularly relates to a multi-source heterogeneous urban data spatialization integration method, system, medium and equipment.
Background
The establishment of the smart city is free from the information generated by urban and rural operation management, and the information generated by urban operation management is mostly related to space positions, so that the spatial integration of the data related to urban operation management into a unified data warehouse becomes the foundation of the construction of the smart city.
The existing spatial integration technology of the urban operation management related data mainly relies on spatial coordinates or longitude and latitude generated by remote sensing mapping to carry out spatial positioning, and is high in precision and accurate. However, there are a large number of non-mapping heterogeneous data with missing coordinates or longitude and latitude in the related data of urban operation management, such as texts and tables generated in the workflow of urban management departments, which cannot be spatially integrated by remote sensing mapping technology, and thus are difficult to be used as the basis of a spatial data warehouse for smart city construction.
Disclosure of Invention
The application aims to provide a multi-source heterogeneous city data spatial integration method, device, medium and equipment, which are used for solving the technical problem that texts and forms generated in a city management department workflow in the prior art are difficult to serve as a spatial data warehouse foundation for smart city construction.
In order to achieve the above purpose, the present application adopts the following technical scheme:
the first aspect provides a method for spatially integrating multi-source heterogeneous city data, comprising:
acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates into a database;
extracting and assigning place name information based on spatial association, extracting and assigning place feature information based on information association and extracting and assigning administrative information based on code association from data after unifying the coordinate systems;
obtaining new city operation management text data, extracting city operation management subject data from the city operation management text data, and matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in a database so as to carry out space coordinate assignment on the city operation management subject data.
In one possible design, the method includes the steps of obtaining workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates in a database, wherein the method includes the steps of:
and acquiring workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization investigation data, geographical national condition census data, place name census data, water conservancy census data, county data, water conservancy census data and POI data in the report data and the report data into a database after unifying coordinates.
In one possible design, extracting and assigning place name information based on spatial correlation from data after unifying coordinate systems includes:
and extracting and obtaining the name information of each place and carrying out assignment by spatial association at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system.
In one possible design, extracting and assigning feature information based on information association from data after unifying coordinate systems includes:
at least correlating and assigning mountain number information in DEM data generated according to the topographic map data from topographic map data after unifying the coordinate system; and/or
Extracting water body information and assigning values at least according to the topographic map data, the land utilization survey data, the water conservancy general survey data and the county and/or water conservancy lineage data after the unified coordinates; and/or
And at least extracting building or cultural relic information from the topographic map data and the cultural relic census data after unifying the coordinates and carrying out assignment.
In one possible design, extracting and assigning administrative information based on code associations from data after unifying coordinate systems includes:
and extracting administrative division space from land utilization investigation data at least after unifying the coordinate system, translating codes of the administrative division space, obtaining administrative division names according to code translation, and assigning values for parallelism and membership among the administrative division space entries.
In one possible design, obtaining new city operation management text data and extracting city operation management topic data from the city operation management text data includes:
and acquiring a new city operation management report or report, and performing word segmentation and topic classification on the report or report by using a natural language learning technology to acquire city operation management topic data with place names, place object names and administrative names as associated fields.
In one possible design, matching the urban operation management topic data with assigned place name information, assigned feature information and/or assigned administrative information in a database to perform spatial coordinate assignment on the urban operation management topic data includes:
and matching the urban operation management subject data with the place name, the place object name and the administrative name as the associated fields with the assigned place name information, the assigned place object information and/or the assigned administrative information to obtain the urban operation management subject data with the space coordinates.
A second aspect provides a multi-source heterogeneous urban data spatialization integrated system comprising:
the data acquisition module is used for acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates into a database;
the information extraction and assignment module is used for extracting and assigning place name information based on spatial association, extracting and assigning feature information based on information association and extracting and assigning administrative information based on code association respectively from the data after unifying the coordinate systems;
the information matching module is used for acquiring new city operation management text data, extracting city operation management subject data from the city operation management text data, and matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in the database so as to carry out space coordinate assignment on the city operation management subject data.
In one possible design, when workflow text data of each city management department is acquired, and data with space coordinates in the workflow text data is stored in a database after being unified in a coordinate system, the data acquisition module is specifically configured to:
and acquiring workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization investigation data, geographical national condition census data, place name census data, water conservancy census data, county data, water conservancy census data and POI data in the report data and the report data into a database after unifying coordinates.
In one possible design, when extracting and assigning place name information based on spatial association from data after unifying coordinate systems, the information extraction and assignment module is specifically configured to:
and extracting and obtaining the name information of each place and carrying out assignment by spatial association at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system.
In one possible design, when extracting and assigning feature information based on information association from data after unifying coordinate systems, the information extraction and assignment module is specifically configured to:
at least correlating and assigning mountain number information in DEM data generated according to the topographic map data from topographic map data after unifying the coordinate system; and/or
Extracting water body information and assigning values at least according to the topographic map data, the land utilization survey data, the water conservancy general survey data and the county and/or water conservancy lineage data after the unified coordinates; and/or
And at least extracting building or cultural relic information from the topographic map data and the cultural relic census data after unifying the coordinates and carrying out assignment.
In one possible design, when extracting and assigning administrative information based on code association from data after unifying coordinate systems, the information extraction assignment module is specifically configured to:
and extracting administrative division space from land utilization investigation data at least after unifying the coordinate system, translating codes of the administrative division space, obtaining administrative division names according to code translation, and assigning values for parallelism and membership among the administrative division space entries.
In one possible design, when acquiring new city operation management text data and extracting city operation management subject data from the city operation management text data, the information matching is specifically used for:
and acquiring a new city operation management report or report, and performing word segmentation and topic classification on the report or report by using a natural language learning technology to acquire city operation management topic data with place names, place object names and administrative names as associated fields.
In one possible design, when matching the urban operation management topic data with assigned place name information, assigned feature information and/or assigned administrative information in a database, so as to perform space coordinate assignment on the urban operation management topic data, the information matching is specifically used for:
and matching the urban operation management subject data with the place name, the place object name and the administrative name as the associated fields with the assigned place name information, the assigned place object information and/or the assigned administrative information to obtain the urban operation management subject data with the space coordinates.
A third aspect provides a storage medium having instructions stored thereon which, when executed on a computer, perform a multi-source heterogeneous urban data spatialization integration method as described in any of the possible designs of the first aspect.
A fourth aspect provides a computer device comprising a memory, a processor and a transceiver in communicative connection in sequence, wherein the memory is for storing a computer program, the transceiver is for transceiving messages, and the processor is for reading the computer program to perform the multi-source heterogeneous urban data spatialization integration method as described in any of the possible designs of the first aspect.
A fifth aspect provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the multi-source heterogeneous urban data spatialization integration method as described in any of the possible designs of the first aspect.
Compared with the prior art, the application has the beneficial effects that:
the method comprises the steps of establishing a multi-source heterogeneous city data spatialization integrating method consisting of spatial association, information association, code association and name association, effectively integrating multi-source city operation management data scattered in each city management department in a spatialization mode, spatialization of various heterogeneous data such as a drawing with spatial coordinates, a text, a table and the like without spatial coordinates in a multi-association mode, and laying a spatialization data warehouse foundation for smart city construction.
Drawings
FIG. 1 is a flowchart of a method for spatially integrating multi-source heterogeneous city data in an embodiment of the present application;
fig. 2 is a block diagram of a multi-source heterogeneous city data spatialization system according to an embodiment of the present application.
Detailed Description
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the present application will be briefly described below with reference to the accompanying drawings and the description of the embodiments or the prior art, and it is obvious that the following description of the structure of the drawings is only some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art. It should be noted that the description of these examples is for aiding in understanding the present application, but is not intended to limit the present application.
Examples
The method aims at solving the technical problem that texts and tables generated in the workflow of the urban management department in the prior art are difficult to be used as the basis of the spatial data warehouse for the construction of the smart city. The embodiment of the application provides a multi-source heterogeneous city data spatialization integration method, which is characterized in that the multi-source heterogeneous city data spatialization integration method consisting of spatial association, information association, code association and name association is established, the multi-source city operation management data scattered in each city management department is effectively integrated in a spatialization mode, and a plurality of heterogeneous data such as a drawing with space coordinates, a text, a table and the like without space coordinates are spatialization in a plurality of association modes, so that a spatialization data warehouse foundation is laid for smart city construction.
The method for spatially integrating the multi-source heterogeneous city data provided by the embodiment of the application is described in detail below.
It should be noted that, the method for spatially integrating multi-source heterogeneous city data provided by the embodiment of the present application may be applied to any terminal device using an operating system to effectively monitor a service order, where the operating system includes, but is not limited to, a Windows system, a macsystem, a Linux system, a Chrome OS system, a UNIX operating system, an IOS system, an android system, and the like; the terminal device includes, but is not limited to, an IPAD tablet computer, a personal mobile computer, an industrial computer, a personal computer, etc., which are not limited herein. For convenience of description, the embodiments of the present application will be described with reference to a personal computer as an execution subject, except for the specific description. It will be appreciated that the execution subject is not limited to the embodiments of the present application, and in other embodiments, other types of terminal devices may be used as the execution subject.
As shown in fig. 1, a flowchart of a multi-source heterogeneous city data spatialization method according to an embodiment of the present application is provided, where the multi-source heterogeneous city data spatialization method includes, but is not limited to, implementation by steps S1 to S3:
s1, acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates into a database;
it should be noted that, in the embodiments of the present application, the city management departments include, but are not limited to, a local mapping geographic information department, a housing and urban and rural construction department, a city management department, an environmental sanitation management department, an education department, a medical management department, a sanitation management department, a traffic department, a municipal department, a city management department, a trusted department, and other departments and institutions participating in city operation management, where the foregoing description is only for example and not intended to limit the data sources in the embodiments of the present application.
It should be noted that, the data forms in the embodiments of the present application include, but are not limited to, topographic map data, cadastral map data, land utilization survey data, geographical national condition census data, place name census data, water conservancy census data, POI data, county (city) census data, water census data, statistics annual-image data, education data, medical data, sanitary data, traffic data, municipal data, urban management data, trusted data, etc., which are used only as examples and do not limit the data forms in the embodiments of the present application.
It should be noted that, in the embodiment of the present application, spatial coordinate association is mainly performed on non-mapping heterogeneous data such as workflow text data of each city management department, and the like, or longitude and latitude, and of course, it can be understood that other forms of non-mapping heterogeneous data are also within the protection scope of the embodiment of the present application, and are not repeated herein.
In a specific embodiment in step S1, acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates in a database, wherein the method includes:
and acquiring workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization investigation data, geographical national condition census data, place name census data, water conservancy census data, county data, water conservancy census data and POI data in the report data and the report data into a database after unifying coordinates.
Preferably, after the data of each relevant department of the city is collected, the data is classified according to the difference of data sources (department sources) and data format types, wherein the data format types include, but are not limited to, cad, shp, word, excel and other data format types; after classification, preferably, the embodiment of the application also stores the unified data format and coordinates into a database through data processing modes such as format conversion (for example, cad data to shp data), unified coordinate system processing with space coordinate data, and conversion from excel data with longitude and latitude to shp space processing.
S2, extracting and assigning place name information based on spatial association, extracting and assigning feature information based on information association and extracting and assigning administrative information based on code association from data after unifying the coordinate systems;
in a specific embodiment of step S2, extracting and assigning location name information based on spatial association from data after unifying coordinate systems includes:
and extracting and obtaining the name information of each place and carrying out assignment by spatial association at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system.
It should be noted that, in the embodiment of the present application, the location name information extracted from the topographic map data, the cadastral map data and the POI data is spatially associated with a technique of generating latitude and longitude or space coordinates based on remote sensing mapping to perform data space positioning in the prior art, so that the space coordinates of the location name information can be obtained, where the extracted location name information includes, but is not limited to, location name information such as a unit name, a cell name, a small location name, a road name, and the like. For example: and extracting an x multiplied by cell name from the topographic map data, generating longitude and latitude or space coordinates according to remote sensing mapping of the cell name, and performing spatial correlation to obtain the place name information of the cell with the space coordinates.
In a specific embodiment of step S2, extracting and assigning feature information based on information association from the data after unifying the coordinate system includes:
at least correlating and assigning mountain number information in DEM data generated according to the topographic map data from topographic map data after unifying the coordinate system; and/or
Extracting water body information and assigning values at least according to the topographic map data, the land utilization survey data, the water conservancy general survey data and the county and/or water conservancy lineage data after the unified coordinates; and/or
And at least extracting building or cultural relic information from the topographic map data and the cultural relic census data after unifying the coordinates and carrying out assignment.
Specifically, on the basis of a topography map with a unified coordinate system, a mountain body simulated from the topography map by a Digital Elevation Model (DEM), a water system entity mapped in the topography map and land utilization investigation, a water system name in water conservancy general survey, county (municipal) shirts, descriptive information about natural mountain water in the water shirts, and the like are associated, and natural mountain water entities are extracted and assigned with the names thereof. Or, based on the topographic map and the cultural relic census data with unified coordinate system, spatially associating the ground feature entity extracted from the topographic map, the cultural relic entity in the cultural relic census data and the name of the landmark building and the ancient site described in the county (city) mark, extracting the landmark ground feature and assigning the name thereof.
In a specific embodiment of step S2, extracting and assigning administrative information based on code association from the data after unifying the coordinate system includes:
and extracting administrative division space from land utilization investigation data at least after unifying the coordinate system, translating codes of the administrative division space, obtaining administrative division names according to code translation, and assigning values for parallelism and membership among the administrative division space entries.
For example: the administrative division space A is extracted from the land utilization investigation data, the administrative code corresponding to the position of the administrative division space A is 510100, the administrative division is a achievement, and if a plurality of administrative division spaces are extracted and membership exists among the administrative division spaces, for example, the 'Chengdu Qingyang district', the membership is assigned.
S3, acquiring new city operation management text data, extracting city operation management subject data from the city operation management text data, and matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in a database so as to carry out space coordinate assignment on the city operation management subject data.
In a specific embodiment of step S3, obtaining new city operation management text data, and extracting city operation management topic data from the city operation management text data includes:
and acquiring a new city operation management report or report, and performing word segmentation and topic classification on the report or report by using a natural language learning technology to acquire city operation management topic data with place names, place object names and administrative names as associated fields.
In a specific implementation manner of step S3, matching the urban operation management topic data with assigned location name information, assigned feature information and/or assigned administrative information in a database, so as to perform space coordinate assignment on the urban operation management topic data, including:
and matching the urban operation management subject data with the place name, the place object name and the administrative name as the associated fields with the assigned place name information, the assigned place object information and/or the assigned administrative information to obtain the urban operation management subject data with the space coordinates.
Based on the disclosure, the embodiment of the application establishes a multi-source heterogeneous city data spatialization integrating method consisting of spatial association, information association, code association and name association, effectively integrates multi-source city operation management data scattered in each city management department in a spatialization mode, spatializes various heterogeneous data such as a drawing with spatial coordinates and texts, tables and the like without spatial coordinates in a plurality of association modes, and lays out a spatial data warehouse foundation for development of works such as intelligent homeland space planning, intelligent city management and the like.
As shown in fig. 2, a second aspect provides a multi-source heterogeneous city data spatialization integrated system, comprising:
the data acquisition module is used for acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates into a database;
the information extraction and assignment module is used for extracting and assigning place name information based on spatial association, extracting and assigning feature information based on information association and extracting and assigning administrative information based on code association respectively from the data after unifying the coordinate systems;
the information matching module is used for acquiring new city operation management text data, extracting city operation management subject data from the city operation management text data, and matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in the database so as to carry out space coordinate assignment on the city operation management subject data.
In one possible design, when workflow text data of each city management department is acquired, and data with space coordinates in the workflow text data is stored in a database after being unified in a coordinate system, the data acquisition module is specifically configured to:
and acquiring workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization investigation data, geographical national condition census data, place name census data, water conservancy census data, county data, water conservancy census data and POI data in the report data and the report data into a database after unifying coordinates.
In one possible design, when extracting and assigning place name information based on spatial association from data after unifying coordinate systems, the information extraction and assignment module is specifically configured to:
and extracting and obtaining the name information of each place and carrying out assignment by spatial association at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system.
In one possible design, when extracting and assigning feature information based on information association from data after unifying coordinate systems, the information extraction and assignment module is specifically configured to:
at least correlating and assigning mountain number information in DEM data generated according to the topographic map data from topographic map data after unifying the coordinate system; and/or
Extracting water body information and assigning values at least according to the topographic map data, the land utilization survey data, the water conservancy general survey data and the county and/or water conservancy lineage data after the unified coordinates; and/or
And at least extracting building or cultural relic information from the topographic map data and the cultural relic census data after unifying the coordinates and carrying out assignment.
In one possible design, when extracting and assigning administrative information based on code association from data after unifying coordinate systems, the information extraction assignment module is specifically configured to:
and extracting administrative division space from land utilization investigation data at least after unifying the coordinate system, translating codes of the administrative division space, obtaining administrative division names according to code translation, and assigning values for parallelism and membership among the administrative division space entries.
In one possible design, when acquiring new city operation management text data and extracting city operation management subject data from the city operation management text data, the information matching is specifically used for:
and acquiring a new city operation management report or report, and performing word segmentation and topic classification on the report or report by using a natural language learning technology to acquire city operation management topic data with place names, place object names and administrative names as associated fields.
In one possible design, when matching the urban operation management topic data with assigned place name information, assigned feature information and/or assigned administrative information in a database, so as to perform space coordinate assignment on the urban operation management topic data, the information matching is specifically used for:
and matching the urban operation management subject data with the place name, the place object name and the administrative name as the associated fields with the assigned place name information, the assigned place object information and/or the assigned administrative information to obtain the urban operation management subject data with the space coordinates.
The working process, working details and technical effects of the foregoing apparatus provided in the second aspect of the present embodiment may be referred to as the method described in the foregoing first aspect or any one of the possible designs of the first aspect, which are not described herein again.
A third aspect provides a storage medium having instructions stored thereon which, when executed on a computer, perform a multi-source heterogeneous urban data spatialization integration method as described in any of the possible designs of the first aspect.
The computer readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, and/or a Memory Stick (Memory Stick), etc., where the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.
The working process, working details and technical effects of the foregoing computer readable storage medium provided in the third aspect of the present embodiment may refer to the method as described in the foregoing first aspect or any one of the possible designs of the first aspect, which are not repeated herein.
A fourth aspect provides a computer device comprising a memory, a processor and a transceiver in communicative connection in sequence, wherein the memory is for storing a computer program, the transceiver is for transceiving messages, and the processor is for reading the computer program to perform the multi-source heterogeneous urban data spatialization integration method as described in any of the possible designs of the first aspect.
By way of specific example, the Memory may include, but is not limited to, random-Access Memory (RAM), read-Only Memory (ROM), flash Memory (Flash Memory), first-in first-out Memory (First Input First Output, FIFO), and/or first-in last-out Memory (First Input Last Output, FILO), etc.; the processor may not be limited to use with a microprocessor of the STM32F105 family; the transceiver may be, but is not limited to, a WiFi (wireless fidelity) wireless transceiver, a bluetooth wireless transceiver, a GPRS (General Packet Radio Service, general packet radio service technology) wireless transceiver, and/or a ZigBee (ZigBee protocol, low power local area network protocol based on the ieee802.15.4 standard), etc. In addition, the computer device may include, but is not limited to, a power module, a display screen, and other necessary components.
The working process, working details and technical effects of the foregoing computer device provided in the fourth aspect of the present embodiment may be referred to as the foregoing first aspect or any one of the possible designs of the first aspect, which are not described herein.
A fifth aspect provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the multi-source heterogeneous urban data spatialization integration method as described in any of the possible designs of the first aspect.
The working process, working details and technical effects of the foregoing computer program product containing instructions provided in the fifth aspect of the present embodiment may be referred to as the method described in the foregoing first aspect or any one of the possible designs of the first aspect, which are not repeated herein.
Finally, it should be noted that: the foregoing description is only of the preferred embodiments of the application and is not intended to limit the scope of the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. The multi-source heterogeneous city data spatial integration method is characterized by comprising the following steps of:
acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates into a database;
extracting and assigning place name information based on spatial association, extracting and assigning place feature information based on information association and extracting and assigning administrative information based on code association from data after unifying the coordinate systems;
acquiring new city operation management text data, extracting city operation management subject data from the city operation management text data, and matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in a database so as to carry out space coordinate assignment on the city operation management subject data;
acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates into a database, wherein the workflow text data comprises the following steps:
acquiring workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization investigation data, geographical national condition census data, place name census data, water conservancy census data, county light source data, water conservancy light source data and POI data in the report data and the report data into a database after unifying coordinates;
extracting and assigning place name information based on spatial association from data after unifying a coordinate system comprises the following steps:
extracting and obtaining each place name information from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system at least through spatial association, and carrying out assignment;
extracting and assigning feature information based on information association from data after unifying a coordinate system, wherein the feature information comprises the following steps:
at least correlating and assigning mountain number information in DEM data generated according to the topographic map data from topographic map data after unifying the coordinate system;
extracting water body information and assigning values at least according to the topographic map data, the land utilization survey data, the water conservancy general survey data and the county and/or water conservancy lineage data after the unified coordinates; and/or
At least extracting building or cultural relic information from the topographic map data and the cultural relic census data after unifying the coordinates and carrying out assignment;
extracting and assigning administrative information based on code association from data after unifying a coordinate system, wherein the method comprises the following steps:
and extracting administrative division space from land utilization investigation data at least after unifying the coordinate system, translating codes of the administrative division space, obtaining administrative division names according to code translation, and assigning values for parallelism and membership among the administrative division space entries.
2. The method for spatially integrating multi-source heterogeneous city data according to claim 1, wherein obtaining new city operation management text data and extracting city operation management subject data from the city operation management text data comprises:
and acquiring a new city operation management report or report, and performing word segmentation and topic classification on the report or report by using a natural language learning technology to acquire city operation management topic data with place names, place object names and administrative names as associated fields.
3. The method of claim 2, wherein matching the urban operation management topic data with assigned place name information, assigned feature information, and/or assigned administrative information in a database to spatially coordinate assign the urban operation management topic data comprises:
and matching the urban operation management subject data with the place name, the place object name and the administrative name as the associated fields with the assigned place name information, the assigned place object information and/or the assigned administrative information to obtain the urban operation management subject data with the space coordinates.
4. A multi-source heterogeneous city data spatialization integrated system for implementing a multi-source heterogeneous city data spatialization integrated method according to any of claims 1 to 3, said system comprising:
the data acquisition module is used for acquiring workflow text data of each city management department, and storing the workflow text data with a data unified coordinate system of space coordinates into a database;
the information extraction and assignment module is used for extracting and assigning place name information based on spatial association, extracting and assigning feature information based on information association and extracting and assigning administrative information based on code association respectively from the data after unifying the coordinate systems;
the information matching module is used for acquiring new city operation management text data, extracting city operation management subject data from the city operation management text data, and matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in the database so as to carry out space coordinate assignment on the city operation management subject data.
5. A storage medium having instructions stored thereon which, when executed on a computer, perform the multi-source heterogeneous urban data spatialization integration method of any of claims 1 to 3.
6. A computer device comprising a memory, a processor and a transceiver in communication with each other in sequence, wherein the memory is configured to store a computer program, the transceiver is configured to send and receive messages, and the processor is configured to read the computer program and perform the multi-source heterogeneous urban data spatialization integration method according to any of claims 1-3.
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