CN115730028A - Multi-source heterogeneous city data spatialization integration method, system, medium and equipment - Google Patents
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Abstract
The invention discloses a multi-source heterogeneous city data spatialization 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 data into a database; extracting and assigning place name information based on spatial association, extracting and assigning land feature information based on information association and extracting and assigning administrative information based on code association from data after unifying the coordinate system; and extracting city operation management subject data from the city operation management text data, matching the city operation management subject data with the assigned place name information, the assigned place and object information and/or the assigned administrative information in the database, and assigning a spatial coordinate to the city operation management subject data. The invention spatializes a plurality of heterogeneous data such as pictures with space coordinates and texts and tables without space coordinates, and lays a foundation for developing work such as intelligent homeland space planning, intelligent city management and the like.
Description
Technical Field
The invention belongs to the technical field of urban operation data management, and particularly relates to a multi-source heterogeneous urban data spatialization integration method, a system, a medium and equipment.
Background
The smart city can not be established without leaving information generated by urban and rural operation management, and most of the information generated by the urban operation management is related to spatial positions, so that the spatial integration of the relevant data of the urban operation management into a unified data warehouse becomes the basis for the construction of the smart city.
The existing spatial integration technology of the relevant data of urban operation management mainly depends on spatial coordinates or longitude and latitude generated by remote sensing mapping for spatial positioning, and is high and accurate in precision. However, a large amount of non-surveying and mapping heterogeneous data with missing coordinates or longitude and latitude exists in the relevant data of the city operation management, such as texts and tables generated in the workflow of the city management department, and the like, and the spatial integration cannot be performed through the remote sensing surveying and mapping technology, so that the data is difficult to serve as a spatial data warehouse basis for smart city construction.
Disclosure of Invention
The invention aims to provide a spatial integration method, a spatial integration device, a spatial integration medium and spatial integration equipment for multi-source heterogeneous city data, which are used for solving the technical problem that texts and tables generated in workflows of city management departments in the prior art are difficult to serve as a spatial data warehouse foundation for smart city construction.
In order to achieve the purpose, the invention adopts the following technical scheme:
the first aspect provides a multi-source heterogeneous city data spatialization integration method, which comprises the following steps:
acquiring workflow text data of each city management department, unifying a data unified coordinate system with space coordinates in the workflow text data, and storing the workflow text data into a database;
extracting and assigning place name information based on spatial association, extracting and assigning surface feature information based on information association and extracting and assigning administrative information based on code association from data after unifying the coordinate system;
and 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 place and object information and/or assigned administrative information in a database to assign a spatial coordinate to the city operation management subject data.
In one possible design, acquiring workflow text data of each city management department, unifying a data unified coordinate system with space coordinates in the workflow text data, and storing the workflow text data into a database, the method comprises the following steps:
the method comprises the steps of obtaining workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization survey data, geographic national situation census data, place name census data, water conservancy census data, county log data, water conservancy log data and POI data in the report data and the report data into a database after unified coordinates.
In one possible design, extracting and assigning place name information based on spatial association from data after unifying coordinate systems includes:
and extracting and assigning the region name information at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system through spatial association.
In one possible design, the extracting and assigning the feature information based on the information association from the data after the unified coordinate system comprises:
at least associating and assigning mountain number information in DEM data generated according to the topographic map data from the topographic map data after unifying the coordinate system; and/or
Extracting water body information and assigning values at least according to topographic map data, land utilization survey data, water conservancy general survey data, county data and/or water conservancy log data after the coordinates are unified; and/or
And extracting the building or cultural relic information from the topographic map data and the cultural relic general survey data after the coordinates are unified at least and assigning values.
In one possible design, the method for extracting and assigning administrative information based on code association from data after unified coordinate system comprises the following steps:
and extracting an administrative division space from the land utilization survey data with the coordinate system unified at least, interpreting codes of the administrative division space, translating the codes to obtain administrative division names, and assigning values to parallel and membership relations among administrative division airspeeds.
In one possible design, obtaining new city operation management text data and extracting city operation management subject data from the city operation management text data includes:
and acquiring a new city operation management report or report, and performing word segmentation and theme classification on the report or report by using a natural language learning technology to obtain city operation management theme data with a place name, a place name and an administrative name as associated fields.
In one possible design, matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in a database to perform spatial coordinate assignment on the city operation management subject data includes:
matching the city operation management subject data with the place name, the place name and the administrative name as the associated fields with the assigned place name information, the assigned place information and/or the assigned administrative information to obtain the city operation management subject data with the spatial coordinates.
A second aspect provides a multi-source heterogeneous city data spatialization integration system, including:
the data acquisition module is used for acquiring workflow text data of each city management department, unifying a coordinate system of data with space coordinates in the workflow text data and storing the data 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 surface feature information based on information association and extracting and assigning administrative information based on code association from the data after the coordinate system is unified;
and 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 place information and/or assigned administrative information in a database so as to assign a space coordinate to the city operation management subject data.
In one possible design, when workflow text data of each city management department is acquired, and the data with the space coordinates in the workflow text data is stored in a database after being unified into a coordinate system, the data acquisition module is specifically configured to:
the method comprises the steps of obtaining workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization survey data, geographic national situation census data, place name census data, water conservancy census data, county log data, water conservancy log data and POI data in the report data and the report data into a database after unified 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 assigning region name information at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system through spatial association.
In one possible design, when the feature information is extracted and assigned based on information association from the data after unifying the coordinate system, the information extraction and assignment module is specifically configured to:
at least associating mountain number information in DEM data generated according to the topographic map data from the topographic map data after unifying the coordinate system and assigning; and/or
Extracting water body information and assigning values at least according to topographic map data, land utilization survey data, water conservancy general survey data, county data and/or water conservancy log data after the coordinates are unified; and/or
And extracting the building or cultural relic information from the topographic map data and the cultural relic general survey data after the coordinates are unified at least and assigning values.
In one possible design, when the administrative information is extracted and assigned based on code association from the data after the unified coordinate system, the information extraction and assignment module is specifically configured to:
and extracting an administrative division space from the land utilization survey data after the coordinate system is unified at least, interpreting codes of the administrative division space, translating the codes to obtain names of the administrative division, and assigning values to parallel and membership relations among all administrative division spaces.
In one possible design, when new city operation management text data is obtained and city operation management subject data is extracted from the city operation management text data, information matching is specifically used for:
and acquiring a new city operation management report or report, and performing word segmentation and theme classification on the report or report by using a natural language learning technology to obtain city operation management theme data with a place name, a place name and an administrative name as associated fields.
In one possible design, when matching the city operation management subject data with assigned place name information, assigned feature information, and/or assigned administrative information in a database to perform spatial coordinate assignment on the city operation management subject data, the information matching is specifically configured to:
matching the city operation management subject data with the place name, the place name and the administrative name as the associated fields with the assigned place name information, the assigned place information and/or the assigned administrative information to obtain the city operation management subject data with the spatial coordinates.
A third aspect provides a storage medium having stored thereon instructions for executing the spatial integration method of multi-source heterogeneous city data according to any one of the possible designs of the first aspect when the instructions are executed on a computer.
A fourth aspect provides a computer device, including a memory, a processor, and a transceiver, which are sequentially connected in communication, where the memory is used to store a computer program, the transceiver is used to send and receive a message, and the processor is used to read the computer program and execute the multi-source heterogeneous city data spatialization integration method as described in any one of the possible designs of the first aspect.
A fifth aspect provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the method for spatialization integration of multi-source heterogeneous city data according to any one of the possible designs of the first aspect.
Compared with the prior art, the invention has the beneficial effects that:
the invention establishes a multi-source heterogeneous city data spatialization integration 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 a plurality of heterogeneous data such as a drawing with a spatial coordinate and a text and a table without the spatial coordinate in a plurality of association modes, and lays a spatialization data warehouse foundation for the construction of a smart city.
Drawings
Fig. 1 is a flowchart of a spatial integration method for multi-source heterogeneous city data in an embodiment of the present application;
fig. 2 is a structural block diagram of a multi-source heterogeneous city data spatialization integration system in the embodiment of the present application.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly described below with reference to the accompanying drawings and the embodiments or the description in the prior art, it is obvious that the following description of the structure of the drawings is only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto.
Examples
The technical problem that texts and tables generated in workflows of city management departments in the prior art are difficult to serve as bases of space data warehouses for smart city construction is solved. The invention provides a multi-source heterogeneous city data spatialization integration method, which is characterized in that a multi-source heterogeneous city data spatialization integration method consisting of spatial association, information association, code association and name association is established, multi-source city operation management data scattered in each city management department is effectively integrated in a spatialization mode, and various heterogeneous data such as a drawing with a spatial coordinate, a text without the spatial coordinate, a table and the like are spatialized in various association modes, so that a spatialized data warehouse foundation is laid for smart city construction.
The multi-source heterogeneous city data spatialization integration method provided by the embodiment of the application is described in detail below.
It should be noted that the multisource heterogeneous city data spatialization integration method provided by the embodiment of the present application can be applied to any terminal device using an operating system to effectively monitor a business order, where the operating system includes, but is not limited to, a Windows system, a Mac system, a Linux system, a Chrome OS system, a UNIX operating system, an IOS system, an android system, and the like, and is not limited herein; the terminal device includes, but is not limited to, an IPAD tablet, a personal mobile computer, an industrial computer, a personal computer, and the like, and is not limited herein. For convenience of description, the embodiments of the present application are described with reference to a personal computer as a main execution unit, unless otherwise specified. It is to be understood that the executing entity is not limited to the embodiment of the present application, and in some other embodiments, other types of terminal devices may be used as the executing entity.
As shown in fig. 1, the method is a flowchart of a spatial integration method for multi-source heterogeneous city data provided in an embodiment of the present application, and the spatial integration method for multi-source heterogeneous city data includes, but is not limited to, steps S1 to S3:
s1, acquiring workflow text data of each city management department, unifying a coordinate system of data with space coordinates in the workflow text data, and storing the data into a database;
it should be noted that the city management department in the embodiment of the present application includes, but is not limited to, a local mapping geographic information department, a housing and urban and rural construction department, a city management department, a sanitation management department, an education department, a medical management department, a sanitation management department, a transportation department, a municipal department, a city management department, and a credit department, and other departments and mechanisms participating in city operation management.
It should be noted that, the data format in the embodiment of the present application includes, but is not limited to, topographic map data, cadastral map data, land utilization survey data, geographic national conditions census data, place name census data, water conservancy census data, POI data, county (city) sign data, water conservancy sign data, statistical yearbook data, and education data, medical data, health data, traffic data, municipal data, city management data, and credit data, and the like.
It should be noted that, in the embodiment of the present application, spatial coordinate association is mainly performed on non-surveying and mapping heterogeneous data such as workflow text data of each city management department and the like with missing coordinates or longitude and latitude, and it is understood that non-surveying and mapping heterogeneous data in other forms are also within the protection scope of the embodiment of the present application, and are not described herein again.
In a specific implementation manner in step S1, acquiring workflow text data of each city management department, unifying coordinate systems of data with spatial coordinates in the workflow text data, and storing the workflow text data in a database, includes:
the method comprises the steps of obtaining workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization survey data, geographic national conditions census data, place name census data, water conservancy census data, county log data, water conservancy log data and POI data in the report data and the report data into a database after unified coordinates.
Preferably, after data of each relevant department of a city is collected, the data is classified according to different data sources (department sources) and data format types, wherein the data format types include but are not limited to data format types such as cad, shp, word, excel and the like; after the classification, preferably, the embodiment of the present application further unifies the data format and the coordinates and stores the data format and the coordinates into the database by performing data processing manners such as format conversion (for example, converting cad data into shp data), processing with a uniform coordinate system of spatial coordinate data, and converting excel data with longitude and latitude coordinates into shp spatialization.
S2, extracting and assigning place name information based on spatial association, extracting and assigning surface feature information based on information association and extracting and assigning administrative information based on code association from the data after unifying the coordinate system;
in a specific implementation manner of step S2, extracting and assigning place name information based on spatial association from data after unifying the coordinate system includes:
and extracting and assigning the region name information at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system through spatial association.
It should be noted that, in the embodiment of the present application, place name information extracted from topographic map data, cadastral map data, and POI data is spatially associated with a technology of generating longitude and latitude or spatial coordinates based on remote sensing mapping to perform data spatial positioning in the prior art, so as to obtain spatial coordinates of the place name information, where the extracted place name information includes, but is not limited to, place name information such as a unit name, a cell name, a small place name, and a road name. For example: and extracting a name of the x cell from the topographic map data, and generating longitude and latitude or space coordinates according to remote sensing mapping of the name of the cell to perform space association to obtain place name information of the cell with the space coordinates.
In a specific implementation manner of step S2, extracting and assigning feature information based on information association from data after unifying the coordinate system includes:
at least associating mountain number information in DEM data generated according to the topographic map data from the topographic map data after unifying the coordinate system and assigning; and/or
Extracting water body information and assigning values at least according to topographic map data, land utilization survey data, water conservancy general survey data, county data and/or water conservancy log data after the coordinates are unified; and/or
And extracting the building or cultural relic information from the topographic map data and the cultural relic general survey data after the coordinates are unified at least and assigning values.
Specifically, on the basis of a topographic map with a unified coordinate system, a mountain body simulated from a topographic map generation Digital Elevation Model (DEM), a topographic map, a water system entity mapped in a land utilization survey, a water system name in a water conservancy general survey, a county (city) log, description information about natural mountains in a water conservancy log, and the like are associated, and the natural mountains and waters entity is extracted and assigned with the name. Or, on the basis of a topographic map and cultural relic census data of a unified coordinate system, the landmark entity extracted from the topographic map, the landmark building described in the landmark entity and a county (city) sign in the cultural relic census data and the name of the monument and the historic site are spatially associated, and the landmark feature is extracted and assigned.
In a specific implementation manner of step S2, extracting and assigning administrative information from data after unifying the coordinate system based on code association includes:
and extracting an administrative division space from the land utilization survey data with the coordinate system unified at least, interpreting codes of the administrative division space, translating the codes to obtain administrative division names, and assigning values to parallel and membership relations among administrative division airspeeds.
For example: and extracting an administrative division space A from the land utilization survey data, wherein an administrative code corresponding to the position of the administrative division space A is '510100', knowing that the administrative division corresponds to a capital, and assigning a membership relationship if a plurality of administrative division spaces are extracted and a membership relationship exists between the administrative division spaces, such as 'a metropolitan lamb district'.
And 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 place information and/or assigned administrative information in a database so as to assign a spatial coordinate to the city operation management subject data.
In a specific implementation manner of step S3, acquiring new city operation management text data, and extracting city operation management subject data from the city operation management text data includes:
and acquiring a new city operation management report or report, and performing word segmentation and theme classification on the report or report by using a natural language learning technology to obtain city operation management theme data with a place name, a place name and an administrative name as associated fields.
In a specific implementation manner of step S3, matching the city operation management subject data with assigned place name information, assigned feature information, and/or assigned administrative information in a database to perform spatial coordinate assignment on the city operation management subject data, including:
and matching the city operation management subject data with the place name, the place name and the administrative name as associated fields with the assigned place name information, the assigned place information and/or the assigned administrative information to obtain the city operation management subject data with the spatial coordinates.
Based on the above disclosure, the embodiment of the application establishes a multi-source heterogeneous city data spatialization integration method composed 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 pictures with spatial coordinates and texts and tables without spatial coordinates in various association modes, and establishes a spatial data warehouse basis for the development of work such as smart homeland space planning, smart city management and the like.
As shown in fig. 2, a second aspect provides a multi-source heterogeneous city data spatialization integration system, including:
the data acquisition module is used for acquiring workflow text data of each city management department, unifying a coordinate system of data with space coordinates in the workflow text data and storing the data 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 surface feature information based on information association and extracting and assigning administrative information based on code association from the data after the coordinate system is unified;
and 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 place information and/or assigned administrative information in a database so as to assign a space coordinate to the city operation management subject data.
In one possible design, when workflow text data of each city management department is acquired, and the data with the space coordinates in the workflow text data is stored in a database after being unified into a coordinate system, the data acquisition module is specifically configured to:
the method comprises the steps of obtaining workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization survey data, geographic national situation census data, place name census data, water conservancy census data, county log data, water conservancy log data and POI data in the report data and the report data into a database after unified coordinates.
In one possible design, when extracting and assigning place name information based on spatial association from data after unifying the coordinate system, the information extraction and assignment module is specifically configured to:
and extracting and assigning the region name information at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system through spatial association.
In one possible design, when the feature information is extracted and assigned based on information association from the data after unifying the coordinate system, the information extraction and assignment module is specifically configured to:
at least associating and assigning mountain number information in DEM data generated according to the topographic map data from the topographic map data after unifying the coordinate system; and/or
Extracting water body information and assigning values at least according to topographic map data, land utilization survey data, water conservancy general survey data and county sign data and/or water conservancy sign data after unifying the coordinates; and/or
And extracting the building or cultural relic information from the topographic map data and the cultural relic general survey data after the coordinates are unified at least and assigning values.
In one possible design, when the administrative information is extracted and assigned based on code association from the data after the unified coordinate system, the information extraction and assignment module is specifically configured to:
and extracting an administrative division space from the land utilization survey data with the coordinate system unified at least, interpreting codes of the administrative division space, translating the codes to obtain administrative division names, and assigning values to parallel and membership relations among administrative division airspeeds.
In one possible design, when new city operation management text data is obtained and city operation management subject data is extracted from the city operation management text data, information matching is specifically used for:
and acquiring a new city operation management report or report, and performing word segmentation and theme classification on the report or report by using a natural language learning technology to obtain city operation management theme data with a place name, a place name and an administrative name as associated fields.
In one possible design, when matching the city operation management subject data with assigned place name information, assigned feature information, and/or assigned administrative information in a database to perform spatial coordinate assignment on the city operation management subject data, the information matching is specifically configured to:
matching the city operation management subject data with the place name, the place name and the administrative name as the associated fields with the assigned place name information, the assigned place information and/or the assigned administrative information to obtain the city operation management subject data with the spatial coordinates.
For the working process, working details and technical effects of the foregoing apparatus provided in the second aspect of this embodiment, reference may be made to the method described in any one of the first aspect or the first aspect, which is not described herein again.
A third aspect provides a storage medium having stored thereon instructions for executing the spatial integration method of multi-source heterogeneous city data according to any one of the possible designs of the first aspect when the instructions are executed on a computer.
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, a flash disk and/or a Memory Stick (Memory Stick), etc., and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.
For the working process, working details and technical effects of the foregoing computer-readable storage medium provided in the third aspect of this embodiment, reference may be made to the method described in the first aspect or any one of the possible designs of the first aspect, which is not described herein again.
A fourth aspect provides a computer device, including a memory, a processor, and a transceiver, which are sequentially connected in communication, where the memory is used to store a computer program, the transceiver is used to send and receive a message, and the processor is used to read the computer program and execute the multi-source heterogeneous city data spatialization integration method as described in any one of the possible designs of the first aspect.
For example, the Memory may include, but is not limited to, a Random-Access Memory (RAM), a Read-Only Memory (ROM), a Flash Memory (Flash Memory), a First-in First-out (FIFO), and/or a First-in Last-out (FILO), and the like; the processor may not be limited to the use of a microprocessor model number 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) wireless transceiver, and/or a ZigBee (ZigBee protocol, low power local area network protocol based on ieee802.15.4 standard) wireless transceiver, etc. In addition, the computer device may also include, but is not limited to, a power module, a display screen, and other necessary components.
For the working process, working details and technical effects of the foregoing computer device provided in the fourth aspect of this embodiment, reference may be made to the method described in the first aspect or any one of the possible designs of the first aspect, which is not described herein again.
A fifth aspect provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the method for spatialization integration of multi-source heterogeneous city data according to any one of the possible designs of the first aspect.
For the working process, the working details and the technical effects of the computer program product containing the instructions provided in the fifth aspect of the present embodiment, reference may be made to the method described in the first aspect or any one of the possible designs of the first aspect, and details are not described herein again.
Finally, it should be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A multi-source heterogeneous city data spatialization integration method is characterized by comprising the following steps:
acquiring workflow text data of each city management department, unifying a data unified coordinate system with space coordinates in the workflow text data, and storing the workflow text data into a database;
extracting and assigning place name information based on spatial association, extracting and assigning surface feature information based on information association and extracting and assigning administrative information based on code association from data after unifying the coordinate system;
and 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 place and object information and/or assigned administrative information in a database so as to assign a spatial coordinate to the city operation management subject data.
2. The method for spatially integrating the multi-source heterogeneous city data according to claim 1, wherein workflow text data of each city management department is acquired, and the workflow text data with spatial coordinates is stored in a database after being unified into a coordinate system, and the method comprises the following steps:
the method comprises the steps of obtaining workflow report data and report data of each city management department, and storing at least topographic map data, cadastral map data, land utilization survey data, geographic national situation census data, place name census data, water conservancy census data, county log data, water conservancy log data and POI data in the report data and the report data into a database after unified coordinates.
3. The multi-source heterogeneous city data spatialization integration method according to claim 2, wherein extracting and assigning place name information based on spatial association from data after unifying coordinate systems comprises:
and extracting and assigning the region name information at least from the topographic map data, the cadastral map data and the POI data after unifying the coordinate system through spatial association.
4. The multi-source heterogeneous city data spatialization integration method according to claim 2, wherein extracting and assigning surface feature information based on information association from data after unifying coordinate systems comprises:
at least associating mountain number information in DEM data generated according to the topographic map data from the topographic map data after unifying the coordinate system and assigning; and/or
Extracting water body information and assigning values at least according to topographic map data, land utilization survey data, water conservancy general survey data, county data and/or water conservancy log data after the coordinates are unified; and/or
And extracting the building or cultural relic information from the topographic map data and the cultural relic general survey data after the coordinates are unified at least and assigning values.
5. The spatial integration method of multi-source heterogeneous city data according to claim 2, wherein the extraction and assignment of administrative information from data after unified coordinate system based on code association comprises:
and extracting an administrative division space from the land utilization survey data with the coordinate system unified at least, interpreting codes of the administrative division space, translating the codes to obtain administrative division names, and assigning values to parallel and membership relations among administrative division airspeeds.
6. The spatial integration method of multi-source heterogeneous city data according to claim 2, wherein the step of obtaining new city operation management text data and extracting city operation management subject data from the city operation management text data comprises the steps of:
and acquiring a new city operation management report or report, and performing word segmentation and theme classification on the report or report by using a natural language learning technology to obtain city operation management theme data with a place name, a place name and an administrative name as associated fields.
7. The spatial integration method of multi-source heterogeneous city data according to claim 6, wherein matching the city operation management subject data with assigned place name information, assigned feature information and/or assigned administrative information in a database to perform spatial coordinate assignment on the city operation management subject data comprises:
and matching the city operation management subject data with the place name, the place name and the administrative name as associated fields with the assigned place name information, the assigned place information and/or the assigned administrative information to obtain the city operation management subject data with the spatial coordinates.
8. A multi-source heterogeneous city data spatialization integration system is characterized by comprising:
the data acquisition module is used for acquiring workflow text data of each city management department, unifying a data unified coordinate system with space coordinates in the workflow text data and storing the workflow text data 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 surface feature information based on information association and extracting and assigning administrative information based on code association from the data after the coordinate system is unified;
and 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 place information and/or assigned administrative information in a database so as to assign a space coordinate to the city operation management subject data.
9. A storage medium, wherein the storage medium stores instructions, and when the instructions are executed on a computer, the method for spatially integrating multi-source heterogeneous city data according to any one of claims 1 to 7 is performed.
10. A computer device, comprising a memory, a processor and a transceiver which are sequentially connected in communication, wherein the memory is used for storing a computer program, the transceiver is used for sending and receiving messages, and the processor is used for reading the computer program and executing the multi-source heterogeneous city data spatialization integration method according to any one of claims 1 to 7.
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| CN202211477862.4A CN115730028B (en) | 2022-11-23 | 2022-11-23 | Multi-source heterogeneous city data spatial integration method, system, medium and equipment |
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