CN111949845A - Method, apparatus, computer device and storage medium for processing mapping information - Google Patents

Method, apparatus, computer device and storage medium for processing mapping information Download PDF

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CN111949845A
CN111949845A CN202010626766.6A CN202010626766A CN111949845A CN 111949845 A CN111949845 A CN 111949845A CN 202010626766 A CN202010626766 A CN 202010626766A CN 111949845 A CN111949845 A CN 111949845A
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data
mapping
attribute data
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mapping attribute
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CN111949845B (en
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夏海平
钟伟明
龚伟鹏
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Real Information Technology Co ltd
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    • G06F16/90Details of database functions independent of the retrieved data types
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
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Abstract

The present application relates to a method, apparatus, computer device and storage medium for processing mapping information. The method comprises the following steps: acquiring mapping information for a target area; the mapping information at least comprises a mapping attribute data table and a space graphic file; determining a plurality of mapping attribute data belonging to a preset data classification field in a mapping attribute data table, and determining a plurality of spatial graphic data belonging to the data classification field in a spatial graphic file; if the plurality of mapping attribute data and the plurality of spatial pattern data have data matched with each other, obtaining at least one group of associated data groups; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other; and storing the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of at least one group of association data sets. By adopting the method, chart association can be realized to complete mapping information processing, and the mapping information processing efficiency is improved.

Description

Method, apparatus, computer device and storage medium for processing mapping information
Technical Field
The present application relates to the field of information processing technology, and in particular, to a method, an apparatus, a computer device, and a storage medium for processing mapping information.
Background
When collecting and collecting the removal project in the process of city reconstruction, in order to provide a basis for subsequent investigation and compensation stages, the city removal related information is generally mapped to obtain attribute data such as a parcel address, parcel situation, a story, a floor situation, a user situation, the number of various areas, attachment situations of the parcel, and spatial data such as red lines and shadow images of the parcel.
At present, attribute data is generally managed in an Excel table mode, spatial data is managed in a CAD format, and processing of mapping information is generally performed through manual maintenance and manual inquiry of statistical files by personnel, so that the efficiency of the current mapping information processing method is low.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a storage medium for processing mapping information.
A method of processing mapping information, the method comprising:
acquiring mapping information for a target area; the mapping information at least comprises a mapping attribute data table and a space graphic file;
determining a plurality of mapping attribute data belonging to a preset data classification field in the mapping attribute data table, and determining a plurality of spatial graphic data belonging to the data classification field in the spatial graphic file;
if the plurality of mapping attribute data and the plurality of spatial pattern data have data matched with each other, obtaining at least one group of associated data sets; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other;
and storing the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of the at least one group of association data sets.
In one embodiment, the data classification field comprises a parcel address field; the plurality of mapping attribute data attributed to a preset data classification field includes first parcel address information attributed to the parcel address field; the plurality of spatial graphical data attributed to the data classification field includes second parcel address information attributed to the parcel address field; if the plurality of mapping attribute data and the plurality of spatial pattern data have data matching with each other, obtaining at least one group of associated data sets, including: acquiring a first keyword in the first parcel address information and a second keyword in the second parcel address information; and if the first keyword is matched with the second keyword, establishing the associated data group based on the first parcel address information and the second parcel address information.
In one embodiment, the data classification field comprises a parcel number field; the plurality of mapping attribute data attributed to a preset data classification field comprises first parcel number data attributed to the parcel number field; the plurality of spatial graphical data attributed to the data classification field comprises a second parcel number data attributed to the parcel number field; if the plurality of mapping attribute data and the plurality of spatial pattern data have data matching with each other, obtaining at least one group of associated data sets, including: if the first parcel number data and the second parcel number data have the same data, establishing the association data group based on the first parcel number data and the second parcel number data.
In one embodiment, after the obtaining of mapping information for the target region, the method further comprises: obtaining a plurality of data classification fields of the mapping attribute data table; converting the data classification field into a standard classification field according to a preset field mapping table; wherein, the field mapping table stores the corresponding relationship between the data classification field and the standard classification field; and storing the mapping attribute data stored in the mapping attribute data table into the mapping information database according to the standard classification field.
In one embodiment, storing the mapping attribute data table and the spatial pattern file in a mapping information database for the target area in a correlation relationship established based on the at least one set of correlation data includes: checking mapping attribute data in the mapping attribute data table and spatial graphic data in the spatial graphic file to obtain checking results of the mapping attribute data and the spatial graphic data; and if the checking result is that the checking is passed, storing the mapping attribute data and the spatial graphic data into the mapping information database in the correlation relationship.
In one embodiment, the checking result includes: checking results of data type of the mapping attribute data, checking results of data length of the mapping attribute data, checking results of data integrity of the mapping attribute data, checking results of data dictionary of the mapping attribute data, checking results of data relevance of the mapping attribute data, checking results of data repeatability of the mapping attribute data, checking results of integrity of the spatial pattern data, checking results of uniqueness of the spatial pattern data, and/or checking results of accuracy of pattern data topology of the spatial pattern data.
In one embodiment, the method further comprises: acquiring first mapping attribute data; reading first spatial graphic data correlated with the first mapping attribute data from the mapping information database, and displaying the first spatial graphic data; and/or acquiring second spatial graphical data; and reading second mapping attribute data which are correlated with the second spatial graphic data from the mapping information database, and displaying the second mapping attribute data.
An apparatus for processing mapping information, the apparatus comprising:
a mapping information acquisition module for acquiring mapping information for the target area; the mapping information at least comprises a mapping attribute data table and a space graphic file;
an association field determining module, configured to determine a plurality of mapping attribute data in the mapping attribute data table that belong to a preset data classification field, and determine a plurality of spatial graphic data in the spatial graphic file that belong to the data classification field;
the associated data acquisition module is used for obtaining at least one group of associated data set if the plurality of mapping attribute data and the plurality of spatial pattern data have mutually matched data; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other;
and the mapping data storage module is used for storing the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of the at least one group of association data sets.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the above method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The method, the device, the computer equipment and the storage medium for processing the mapping information acquire the mapping information aiming at the target area; the mapping information at least comprises a mapping attribute data table and a space graphic file; determining a plurality of mapping attribute data belonging to a preset data classification field in a mapping attribute data table, and determining a plurality of spatial graphic data belonging to the data classification field in a spatial graphic file; if the plurality of mapping attribute data and the plurality of spatial pattern data have data matched with each other, obtaining at least one group of associated data groups; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other; and storing the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of at least one group of association data sets. According to the method and the device, the correlation relation between the mapping attribute data table and the space graphic file is established, the chart correlation is achieved, the mapping information is processed, personnel do not need to inquire statistical files manually, and the mapping information processing efficiency is improved.
Drawings
FIG. 1 is a schematic flow diagram of a method of processing mapping information in one embodiment;
FIG. 2 is a flow diagram illustrating an embodiment of obtaining at least one set of associated data sets if the plurality of mapping attribute data and the plurality of spatial pattern data have matching data;
FIG. 3 is a diagram illustrating a process for storing mapping attribute data stored in a mapping attribute data table in a mapping information database according to a canonical classification field in one embodiment;
FIG. 4 is a schematic flow chart diagram illustrating a method for processing mapping information in accordance with another embodiment;
FIG. 5 is a flow chart illustrating a method for processing mapping information of a city update relocation project according to an exemplary application;
FIG. 6 is a block diagram of an apparatus for processing mapping information in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, a method for processing mapping information is provided, and this embodiment is illustrated by applying the method to a terminal, and it is to be understood that the method may also be applied to a server, and may also be applied to a system including a terminal and a server, and is implemented by interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step S101, a terminal acquires mapping information aiming at a target area; the mapping information includes at least a mapping attribute data table and a spatial pattern file.
The terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The target area refers to a source area of the collected mapping information, and the mapping information may include mapping attribute data such as a house mapping area, a house belonging area, a house ownership limit, and the like, where the mapping attribute data is generally stored by way of a mapping attribute data table (such as an Excel table), and may further include spatial graphic data such as a parcel red line and a parcel outline, and the spatial graphic data is generally stored by way of a spatial graphic file (such as a CAD file). Specifically, the terminal may obtain the mapping information for the target area by reading the mapping attribute data from the mapping attribute data table and reading the spatial pattern data from the spatial pattern file.
Step S102, the terminal determines a plurality of mapping attribute data belonging to a preset data classification field in the mapping attribute data table and determines a plurality of spatial graphic data belonging to the data classification field in the spatial graphic file.
The preset data classification field is a data field used for establishing an association relationship between the mapping attribute data table and the space graphic file, and can be selected by a user according to actual needs. Specifically, the terminal may read, according to a preset classification field input by the user, a plurality of mapping attribute data under the preset data classification field from the mapping attribute data table, and a plurality of spatial pattern data under the preset data classification field from the spatial pattern file, respectively.
Step S103, if the plurality of mapping attribute data and the plurality of spatial pattern data have data matched with each other, the terminal obtains at least one group of associated data sets; the associated data set includes a mapping attribute data and a spatial pattern data which are matched with each other.
The related data group is a data group obtained by the terminal under the condition that the mapping attribute data in the mapping attribute data table and the space graphic data in the space graphic file are matched with each other under the preset classification field. For example: the input preset classification field may be an owner name, and then at this time, under the classification field of the owner name in the mapping attribute data table, an owner name a, an owner name B, and an owner name C may be stored, and at this time, under the classification field of the owner name in the space graphic file, an owner name a, an owner name B, and an owner name D may be stored, and at this time, the owner name a and the owner name B in the mapping attribute data table may be matched with the owner name a and the owner name B in the space graphic file, so that the terminal may establish the association data sets based on the owner name a and the owner name B, respectively.
And step S104, the terminal stores the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of at least one group of association data sets.
Specifically, after the terminal obtains the association data set of the mapping attribute data table and the spatial graphic file through step S103, the terminal may establish a correlation relationship between the mapping attribute data table and the spatial graphic file based on the association data set, and store the mapping attribute data table and the spatial graphic file into the mapping information database for the target area according to the correlation relationship. For example, if an association data set of the owner name a in the mapping attribute data table and the owner name a in the space figure file has been established, mapping attribute data of the mapping attribute data table related to the owner name a and space figure data of the space figure file related to the owner name a may be associated with each other by the association data set, and stored in the mapping information database. When the relevant mapping information of the owner A needs to be inquired through the mapping information database, the mapping attribute data and the spatial graphic data relevant to the owner A can be obtained at the same time only by inputting the name A of the owner.
In the method for processing the mapping information, the terminal acquires the mapping information aiming at the target area; the mapping information at least comprises a mapping attribute data table and a space graphic file; determining a plurality of mapping attribute data belonging to a preset data classification field in a mapping attribute data table, and determining a plurality of spatial graphic data belonging to the data classification field in a spatial graphic file; if the plurality of mapping attribute data and the plurality of spatial pattern data have data matched with each other, obtaining at least one group of associated data groups; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other; and storing the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of at least one group of association data sets. According to the method and the device, the correlation relation between the mapping attribute data table and the space graphic file is established through the terminal, the chart correlation is achieved, the processing of mapping information is completed, a person does not need to manually inquire a statistical file, and the efficiency of mapping information processing is improved.
In one embodiment, the data classification field includes a parcel address field; the plurality of mapping attribute data attributed to the preset data classification field includes first parcel address information attributed to a parcel address field; the plurality of spatial graphic data belonging to the data classification field includes second parcel address information belonging to the parcel address field, as shown in fig. 2, the step S103 further includes:
in step S201, the terminal obtains a first keyword in the first parcel address information and obtains a second keyword in the second parcel address information.
Land parcel refers to a parcel of land within the ownership boundary address of the land use right. The parcel address refers to the address of the ownership boundary address range. A plurality of parcel address information may be stored in each of the mapping attribute data table and the parcel address field in the spatial graphic file, wherein the parcel address information stored under the parcel address field of the mapping attribute data table may be defined as a first parcel address information, and the parcel address information stored under the parcel address field in the spatial graphic file may be determined as a second parcel address information. Specifically, the terminal may extract a first keyword from the obtained first parcel address information, where the keyword may be province information, city information, street information, number information, and the like in the first parcel address information, and may extract a second keyword from the second parcel address information in the same manner, so as to obtain the first keyword and the second keyword, respectively.
Step S202, if the first keyword is matched with the second keyword, the terminal establishes an associated data set based on the first parcel address information and the second parcel address information.
In step S201, after the terminal obtains the first keyword from the first parcel address information and the second keyword from the second parcel address information, the terminal may obtain data matched with the second keyword from the first keyword in a keyword matching manner, and establish an associated data set between the first parcel address information corresponding to the first keyword matched with the keyword and the second parcel address information corresponding to the second keyword.
For example: the first parcel address information stored in the mapping attribute data table includes: the parcel address a, the parcel address B and the parcel address C, and the corresponding first keywords respectively include the keyword a, the keyword B and the keyword C, and the second parcel address information stored in the spatial graphic file may include: the land parcel address A, the land parcel address B and the land parcel address D, and the corresponding second keywords respectively comprise the keyword A, the keyword B and the keyword D, then the first keyword and the second keyword matched with the keywords at this time can comprise the keyword A and the keyword B, so that the associated data group of the land parcel address A and the associated data group of the land parcel address B can be respectively established based on the corresponding land parcel address A and the land parcel address B.
In addition, since the parcel address may change due to the change of the address name, in order to further improve the accuracy of the mapping information processing, in one embodiment, the preset data classification field further includes a parcel number field; the plurality of mapping attribute data attributed to the preset data classification field comprises first parcel number data attributed to a parcel number field; the plurality of spatial graphic data attributed to the data classification field includes second parcel number data attributed to the parcel number field; step S103 may further include: if the first parcel number data and the second parcel number data have the same data, the terminal establishes an associated data group based on the first parcel number data and the second parcel number data.
The land parcel numbering data is an identification number used for identifying land parcels and has uniqueness, each land parcel has corresponding land parcel numbering data, a land parcel numbering field is a classification field used for storing a plurality of land parcel numbering data, the first land parcel numbering data is land parcel numbering data stored under the land parcel numbering field in the mapping attribute data table, and the second land parcel numbering data is land parcel numbering data stored under the land parcel numbering field in the spatial graphic file.
Specifically, the terminal may extract a plurality of first parcel number data from parcel number fields in the mapping attribute data table, extract a plurality of second parcel number data from parcel number fields in the spatial graphic file, compare each first parcel number data with all second parcel number data, and if a first parcel number data identical to the second parcel number data appears, establish a corresponding associated data group using the identical parcel number data.
In this embodiment, the terminal may establish the associated data group through the parcel address information, may implement that the plurality of mapping attribute data in the mapping attribute data table and the plurality of spatial graphic data in the spatial graphic file are associated with each other to form the associated data group, and may also complete the establishment of the associated data group through the unique parcel identification of the parcel number data, may avoid the establishment failure of the corresponding relationship data group due to the change of the address name, and may further improve the accuracy of the constructed project database.
In addition, considering that the data in the mapping attribute data table may be named in different naming manners in different mapping attribute data tables, in an embodiment, as shown in fig. 3, after step S101, the method for processing mapping information may further include:
step S301, the terminal acquires a plurality of data classification fields of the mapping attribute data table.
The mapping attribute data table stores a plurality of different types of mapping attribute data, such as owner names, land areas, land belongings and the like, which respectively have different data classification fields, and the terminal can extract all the data classification fields from the mapping attribute data table.
Step S302, the terminal converts the data classification field into a standard classification field according to a preset field mapping table; the field mapping table stores the corresponding relation between the data classification field and the standard classification field.
The field mapping table is used for storing the corresponding relationship between the data classification field and the standard classification field, where the standard classification field is the standard classification field in the mapping information database, for example, in the mapping attribute data table a, the data classification field of the user name item is the name, and for the mapping attribute data table B, the data classification field of the user name item is the name, so that, in order to unify the data classification fields in multiple mapping attribute data tables, the corresponding relationship between the data classification field and the standard classification field can be established first, if the standard classification field in the mapping attribute data table is required to be the client name, the corresponding relationship between the name and the client name and the corresponding relationship between the name and the client name can be established respectively, and stored in the field mapping table, and at this time, the terminal can convert both the name field in the mapping attribute data table a and the name field in the mapping attribute data table B into the client name according to the field mapping table A user name field.
Step S303, the terminal stores the mapping attribute data stored in the mapping attribute data table into a mapping information database according to the standard classification field.
After converting the data classification field in the mapping attribute data table into the standard classification field, the terminal can write the mapping attribute data stored in the original data classification field into the converted standard classification field and store the converted standard classification field into the mapping information database.
In the embodiment, the data classification fields named in different ways in different mapping attribute data tables are converted into the uniformly named standard classification fields through the field mapping table, so that the accuracy and the integrity of the mapping information stored in the mapping information database are improved.
In one embodiment, step S104 may further include: checking the mapping attribute data in the mapping attribute data table and the space graphic data in the space graphic file to obtain checking results of the mapping attribute data and the space graphic data; and if the inspection result is that the inspection is passed, storing the mapping attribute data and the spatial graphic data into a mapping information database in a mutual association relationship.
Specifically, in order to further improve the accuracy and integrity of the mapping information stored in the mapping information database, before the terminal stores the mapping data of the mapping attribute data table and the spatial graphic file into the mapping information database, data check needs to be performed on the mapping attribute data and the spatial graphic data, and after the data check is passed, the mapping attribute data and the spatial graphic data are stored into the mapping information database in a mutual association relationship.
Further, the content of the inspection of the mapping attribute data and the spatial graphic data by the terminal may specifically include a part that, for example, the terminal may inspect the data type, the data length, whether the required entries are complete, whether the data dictionary is accurate, the relevance of the data, whether there is duplicate data, and the like of the mapping attribute data, and obtain a corresponding inspection result. Meanwhile, the terminal can also check the space graphic data, including checking the key number of the space graphic data, namely the non-null of data used for forming the associated data group, such as parcel number, and the like, and checking the uniqueness of the space graphic data and the correctness of the topology of the graphic data, and obtaining the corresponding checking result.
In the above embodiment, before the terminal stores the mapping attribute data and the spatial pattern data in the mapping information database in an associated relationship, the terminal further performs data check on the mapping attribute data and the spatial pattern data, so that the accuracy and the integrity of the mapping information stored in the mapping information database can be further improved.
In one embodiment, the method of processing mapping information may further comprise: the terminal acquires first mapping attribute data; reading first spatial graphic data which are correlated with the first mapping attribute data from a mapping information database, and displaying the first spatial graphic data; and acquiring second spatial pattern data; and reading second mapping attribute data of the second spatial graphic data which are related to each other from the mapping information database, and displaying the second mapping attribute data.
After the terminal finishes storing the mapping attribute data table and the space graphic file into the mapping information database according to the correlation relationship, if a user needs to inquire related mapping information, for example, the user wants to directly inquire related data of the space graphic file through the mapping attribute data, the user can enter first mapping attribute data through the terminal at the moment, and the terminal can read the first space graphic data which is pre-stored and is correlated with the first mapping attribute data from the mapping information database and display the first space graphic data through a display module of the terminal. For example: the user can firstly input collection address information by using the terminal, and then the terminal can find the corresponding associated data group through the collection address information, obtain corresponding first space graphic data and display the related map of the collection address. In addition, the user can also input second spatial graphic data through the terminal to obtain and display corresponding second mapping attribute data. For example, a user may click any spatial graphic data on a spatial graphic interface displayed in the terminal, and the terminal may jump to a mapping attribute data interface corresponding to the spatial graphic data and display the mapping attribute data.
In the above embodiment, the terminal may query the mapping information database through the input mapping attribute data or the spatial graphic data, and obtain the spatial graphic data corresponding to the input mapping attribute data and the mapping attribute data corresponding to the input spatial graphic data, respectively, so that the linkage of "searching in a text" and "searching in a text" may be realized, which is beneficial to improving the integrity of the mapping information processing data.
In an embodiment, as shown in fig. 4, a method for processing mapping information is further provided, and this embodiment is illustrated by applying the method to a terminal, and it is to be understood that the method may also be applied to a server, and may also be applied to a system including a terminal and a server, and is implemented by interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step S401, a terminal acquires mapping information aiming at a target area; the mapping information at least comprises a mapping attribute data table and a space graphic file;
step S402, the terminal acquires a plurality of data classification fields of the mapping attribute data table; converting the data classification field into a standard classification field according to a preset field mapping table; the field mapping table stores the corresponding relation between the data classification field and the standard classification field;
step S403, the terminal determines a plurality of first parcel number data belonging to parcel number fields in the mapping attribute data table and determines a plurality of second parcel number data belonging to parcel number fields in the space graphic file;
step S404, if the first parcel number data and the second parcel number data have the same data, the terminal establishes a related data group based on the first parcel number data and the second parcel number data;
step S405, the terminal checks the mapping attribute data in the mapping attribute data table and the space graphic data in the space graphic file to obtain the checking results of the mapping attribute data and the space graphic data;
step S406, if the inspection results of the mapping attribute data and the spatial pattern data are that the inspection is passed, the terminal stores the mapping attribute data and the spatial pattern data into a mapping information database for the target area according to the standard classification fields and the mutual association relationship established based on at least one group of association data sets.
In the embodiment, the correlation relationship between the mapping attribute data table and the space graphic file is established through the terminal, the processing of mapping information is completed by chart correlation, a person does not need to manually inquire a statistical file, and the efficiency of mapping information processing is improved. In addition, an incidence relation is established through land parcel number data under the land parcel number field, data classification fields named in different modes in different mapping attribute data tables are converted into standard classification fields named uniformly through a field mapping table, data inspection is carried out on the mapping attribute data and the space graphic data, and accuracy and integrity of mapping information processing can be further improved.
In an application example, a method for processing mapping information of a city update relocation project is further provided, which needs to perform mapping when developing acquisition relocation project, as a basis for subsequent investigation and compensation, specifically, mapping data may include the following two data structures: attribute data structure and spatial data structure:
1. attribute data structure:
considering the current state of urban updating, we divide the mapping into two major stages, namely "prediction" (YC. at the beginning of the table) and "actual measurement" (SC. at the beginning of the data table)
In the aspect of the terrestrial buildings, in consideration of the situation of urban updating and dismantling, national land, national property, collective land and collective property are provided, so that the data standard of real property registration is combined, a five-level structure of 'terrestrial-natural building-logical building-layer-household' is taken as a design main body, the situation of all properties can be adapted, and the design main body is taken as a base stone of a mapping data structure.
By combining the existing urban updating surveying and mapping standard, when the surveying and mapping area of each household on each floor is recorded, the acquisition table is recorded according to the format of a surveying and mapping standard system (A6, which represents the area of the A-type structure 1-6, A2-5, which represents the area of the A-type structure 2-5), so that a surveying and mapping unit can record better.
In the aspect of attachments, in the process of surveying and mapping, the attachments and young seedling conditions on the land are also required to be recorded, so that relevant data structure rules are also added in the design of a database and the design of an acquisition table.
In the aspect of the current property right situation, in addition to the surveying and mapping information of the house, the information needed to be used in the future compensation is considered, and the data of the current property right situation of the ground building is added to the surveying and mapping acquisition table, so that the data acquired by surveying and mapping is more complete.
Through the 2 stages and 3 aspects, the removed attribute data is built.
2. Spatial data structure:
in the aspect of spatial data, in addition to the CAD, the mapping unit is also required to provide SHP format data, and the coordinate system is as uniform as possible (west ampere 80/guangzhou 2000/national 2000). Thus, the SHP red line can be imported into the system for unified management, and the related CAD can be viewed as an attachment, so that the whole piece of mapping data can be managed.
Specifically, as shown in fig. 5, the method for processing mapping information of a city update and relocation project in this application example may include the following steps:
step s 1: and compiling a collected data template.
And compiling a collected data template according to the actual condition of the collected area. The attribute template is designed according to the object classification by adopting a common EXCEL format file, and the specification information is designed according to the following list of dictionary items, so that the error input is avoided. The spatial graphic data template adopts a common general SHP format file, and sets a number field so as to be associated with the attribute data.
Step s 2: and configuring an import scheme.
The software reads the EXCEL format data template, displays each data tab and each column in the tab of the acquisition template, can configure the relation between mapping and database table fields for each column of each tab, and can also configure the essential filling, data dictionary, association verification and repeatability verification of each field.
Step s3, data is checked and put in storage.
(1) Attribute collection data checking and warehousing
The method can select a matched import scheme to check and store the data collected in the EXCEL format according to a collection table template corresponding to the current data, a program checks the data type, length, required filling, a data dictionary, relevance, repeatability and the like according to scheme configuration, and the checked collection data is configured and stored into corresponding tables and fields in a database according to the import scheme, so that the quality of the data stored in the database is effectively guaranteed.
(2) Graphic collection data inspection and storage
And checking the graphic data produced according to the graphic SHP data template, wherein the check comprises key number non-null and uniqueness check, graphic data topology error check and the like, and the checked data are stored in a corresponding database layer.
Step s 4: the map belongs to the associated positioning query.
(1) Property attribute association positioning graph
And inquiring corresponding property records according to the attribute inquiry conditions, clicking a [ view graph ] button, opening a view graph page by a program, and positioning and viewing graphs of the collection units in a map.
(2) Property such as graphic association viewing property right
Clicking a graph of the property right or the protocol to be viewed in the map view, and selecting the property right or the protocol to be viewed, so that the user can jump to a property right or protocol detail page of the graph.
Step s 5: and (5) performing diagrammatizing analysis statistics.
The data after being put in storage can be subjected to user-defined query statistics, query conditions can be set according to needs for statistics, statistical attribute records and graphic records are displayed, charting thematic rendering can be performed on statistical result data, and statistical analysis results are displayed by using visualized chart styles.
In the application example, the standardization and high quality of the urban information acquisition data are guaranteed through source template and planned inspection and warehousing processing, and an accurate data support target is provided for subsequent voting, signing and compensation work. In addition, based on the city information data which are mutually associated and stored in a storage, map related positioning query and charting analysis statistics can be realized, and the data value of the city information is embodied.
It should be understood that although the various steps in the flow charts of fig. 1-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-5 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in FIG. 6, there is provided an apparatus for processing mapping information, comprising: a mapping information acquisition module 601, an associated field determination module 602, an associated data acquisition module 603, and a mapping data storage module 604, wherein:
a mapping information acquisition module 601, configured to acquire mapping information for a target area; the mapping information at least comprises a mapping attribute data table and a space graphic file;
an association field determining module 602, configured to determine a plurality of mapping attribute data in the mapping attribute data table that belong to a preset data classification field, and determine a plurality of spatial graphic data in the spatial graphic file that belong to the data classification field;
a related data obtaining module 603, configured to obtain at least one group of related data sets if the plurality of mapping attribute data and the plurality of spatial pattern data have data that match each other; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other;
a mapping data storage module 604, configured to store the mapping attribute data table and the spatial graphic file into a mapping information database for the target area according to a correlation relationship established based on at least one set of correlation data sets.
In one embodiment, the data classification field includes a parcel address field; the plurality of mapping attribute data attributed to the preset data classification field includes first parcel address information attributed to a parcel address field; the plurality of spatial graphic data attributed to the data classification field includes second parcel address information attributed to the parcel address field; the associated data obtaining module 603 is further configured to obtain a first keyword in the first parcel address information, and obtain a second keyword in the second parcel address information; and if the first keyword is matched with the second keyword, establishing an associated data set based on the first parcel address information and the second parcel address information.
In one embodiment, the data classification field includes a parcel number field; the plurality of mapping attribute data attributed to the preset data classification field comprises first parcel number data attributed to a parcel number field; the plurality of spatial graphic data attributed to the data classification field includes second parcel number data attributed to the parcel number field; the associated data obtaining module 603 is further configured to establish an associated data set based on the first parcel number data and the second parcel number data if the first parcel number data and the second parcel number data have the same data.
In one embodiment, the mapping information obtaining module 601 is further configured to obtain a plurality of data classification fields of the mapping attribute data table; converting the data classification field into a standard classification field according to a preset field mapping table; the field mapping table stores the corresponding relation between the data classification field and the standard classification field; and storing the mapping attribute data stored in the mapping attribute data table into a mapping information database according to the standard classification fields.
In an embodiment, the mapping data storage module 604 is further configured to check the mapping attribute data in the mapping attribute data table and the spatial pattern data in the spatial pattern file to obtain a checking result of the mapping attribute data and the spatial pattern data; and if the inspection result is that the inspection is passed, storing the mapping attribute data and the spatial graphic data into a mapping information database in a mutual association relationship.
In one embodiment, examining the results includes: checking results of data type of the mapping attribute data, checking results of data length of the mapping attribute data, checking results of data integrity of the mapping attribute data, checking results of data dictionary of the mapping attribute data, checking results of data relevance of the mapping attribute data, checking results of data repeatability of the mapping attribute data, checking results of integrity of the spatial graphic data, checking results of uniqueness of the spatial graphic data and/or checking results of accuracy of graphic data topology of the spatial graphic data.
In one embodiment, the apparatus for processing mapping information further comprises: the mapping data display module is used for acquiring first mapping attribute data; reading first spatial graphic data which are correlated with the first mapping attribute data from a mapping information database, and displaying the first spatial graphic data; and for obtaining second spatial graphical data; and reading second mapping attribute data which are correlated with the second spatial graphic data from the mapping information database, and displaying the second mapping attribute data.
Specific limitations regarding the means for processing the mapping information may be found in the above limitations regarding the method for processing the mapping information, which are not described herein in detail. The various modules in the apparatus for processing mapping information described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of processing mapping information. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method of processing mapping information, the method comprising:
acquiring mapping information for a target area; the mapping information at least comprises a mapping attribute data table and a space graphic file;
determining a plurality of mapping attribute data belonging to a preset data classification field in the mapping attribute data table, and determining a plurality of spatial graphic data belonging to the data classification field in the spatial graphic file;
if the plurality of mapping attribute data and the plurality of spatial pattern data have data matched with each other, obtaining at least one group of associated data sets; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other;
and storing the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of the at least one group of association data sets.
2. The method of claim 1, wherein the data classification field comprises a parcel address field; the plurality of mapping attribute data attributed to a preset data classification field includes first parcel address information attributed to the parcel address field; the plurality of spatial graphical data attributed to the data classification field includes second parcel address information attributed to the parcel address field;
if the plurality of mapping attribute data and the plurality of spatial pattern data have data matching with each other, obtaining at least one group of associated data sets, including:
acquiring a first keyword in the first parcel address information and a second keyword in the second parcel address information;
and if the first keyword is matched with the second keyword, establishing the associated data group based on the first parcel address information and the second parcel address information.
3. The method of claim 1, wherein the data classification field comprises a parcel number field; the plurality of mapping attribute data attributed to a preset data classification field comprises first parcel number data attributed to the parcel number field; the plurality of spatial graphical data attributed to the data classification field comprises a second parcel number data attributed to the parcel number field;
if the plurality of mapping attribute data and the plurality of spatial pattern data have data matching with each other, obtaining at least one group of associated data sets, including:
if the first parcel number data and the second parcel number data have the same data, establishing the association data group based on the first parcel number data and the second parcel number data.
4. The method of any of claims 1 to 3, wherein after the obtaining mapping information for the target region, the method further comprises:
obtaining a plurality of data classification fields of the mapping attribute data table;
converting the data classification field into a standard classification field according to a preset field mapping table; wherein, the field mapping table stores the corresponding relationship between the data classification field and the standard classification field;
and storing the mapping attribute data stored in the mapping attribute data table into the mapping information database according to the standard classification field.
5. The method according to any one of claims 1 to 3, wherein storing the mapping attribute data table and the spatial pattern file in a mapping information database for the target area in a correlation relationship established based on the at least one set of correlation data sets comprises:
checking mapping attribute data in the mapping attribute data table and spatial graphic data in the spatial graphic file to obtain checking results of the mapping attribute data and the spatial graphic data;
and if the checking result is that the checking is passed, storing the mapping attribute data and the spatial graphic data into the mapping information database in the correlation relationship.
6. The method of claim 5, wherein the checking results comprise: checking results of data type of the mapping attribute data, checking results of data length of the mapping attribute data, checking results of data integrity of the mapping attribute data, checking results of data dictionary of the mapping attribute data, checking results of data relevance of the mapping attribute data, checking results of data repeatability of the mapping attribute data, checking results of integrity of the spatial pattern data, checking results of uniqueness of the spatial pattern data, and/or checking results of accuracy of pattern data topology of the spatial pattern data.
7. The method of claim 1, further comprising:
acquiring first mapping attribute data;
reading first spatial graphic data correlated with the first mapping attribute data from the mapping information database, and displaying the first spatial graphic data;
and/or
Acquiring second spatial graphic data;
and reading second mapping attribute data which are correlated with the second spatial graphic data from the mapping information database, and displaying the second mapping attribute data.
8. An apparatus for processing mapping information, the apparatus comprising:
a mapping information acquisition module for acquiring mapping information for the target area; the mapping information at least comprises a mapping attribute data table and a space graphic file;
an association field determining module, configured to determine a plurality of mapping attribute data in the mapping attribute data table that belong to a preset data classification field, and determine a plurality of spatial graphic data in the spatial graphic file that belong to the data classification field;
the associated data acquisition module is used for obtaining at least one group of associated data set if the plurality of mapping attribute data and the plurality of spatial pattern data have mutually matched data; the associated data set comprises mapping attribute data and spatial pattern data which are matched with each other;
and the mapping data storage module is used for storing the mapping attribute data table and the spatial graphic file into a mapping information database aiming at the target area according to the mutual association relationship established on the basis of the at least one group of association data sets.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113111179A (en) * 2021-03-09 2021-07-13 智慧芽信息科技(苏州)有限公司 File classification processing method, device, server and system
CN117371961A (en) * 2023-11-17 2024-01-09 重庆市勘察规划设计有限公司 Mobile-terminal-based outdoor data mapping and collecting method and system

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101159068A (en) * 2007-07-31 2008-04-09 东南大学 Information acquisition and processing method for field operation equipment executing land patrolling and real time monitoring
US20100306249A1 (en) * 2009-05-27 2010-12-02 James Hill Social network systems and methods
CN102508869A (en) * 2011-10-11 2012-06-20 西安煤航信息产业有限公司 Method of importing CAD (computer-aided design) graph and attribute data into GIS (Geographic information system)
CN103886004A (en) * 2013-11-29 2014-06-25 北京吉威数源信息技术有限公司 Material data modeling processing method
CN104182456A (en) * 2014-07-09 2014-12-03 浙江大学 Spatial entity increment extraction method based on MRS-MM (Multi-Rules Supported Matching Model) target matching model
CN104462402A (en) * 2014-12-12 2015-03-25 重庆市荣冠科技有限公司 Pipe network data compilation system
CN104504701A (en) * 2014-12-19 2015-04-08 深圳先进技术研究院 Image display method and system based on streetscape attribute information
CN104677277A (en) * 2015-02-16 2015-06-03 武汉天远视科技有限责任公司 Method and system measuring geometric attribute of object or distance
CN105630988A (en) * 2015-12-23 2016-06-01 中山大学 Method and system for rapidly detecting space data changes and updating data
CN105740325A (en) * 2016-01-20 2016-07-06 国家基础地理信息中心 Trans-scale geographic information linkage updating technical method based on spatial automatic matching
CN106056492A (en) * 2016-06-13 2016-10-26 西安数驰信息科技有限公司 Real estate unified registration information management solution method
CN107393003A (en) * 2017-08-07 2017-11-24 苍穹数码技术股份有限公司 A kind of method of three-dimensional house automatic modeling based on cloud computing and realization
CN108121825A (en) * 2018-01-15 2018-06-05 霍亮 Topographic data manages system
KR20180069547A (en) * 2016-12-15 2018-06-25 (주)넥스지오 Constructing Method of Three Dimension Model Using Line Information Based on Two Dimension Drawing and System of The Same
CN109933567A (en) * 2019-03-26 2019-06-25 贵州图智信息技术有限公司 Archive of surveying and mapping spatialization processing application system and method based on GIS modelling technique
CN110321344A (en) * 2019-05-20 2019-10-11 平安普惠企业管理有限公司 Information query method, device, computer equipment and the storage medium of associated data

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101159068A (en) * 2007-07-31 2008-04-09 东南大学 Information acquisition and processing method for field operation equipment executing land patrolling and real time monitoring
US20100306249A1 (en) * 2009-05-27 2010-12-02 James Hill Social network systems and methods
CN102508869A (en) * 2011-10-11 2012-06-20 西安煤航信息产业有限公司 Method of importing CAD (computer-aided design) graph and attribute data into GIS (Geographic information system)
CN103886004A (en) * 2013-11-29 2014-06-25 北京吉威数源信息技术有限公司 Material data modeling processing method
CN104182456A (en) * 2014-07-09 2014-12-03 浙江大学 Spatial entity increment extraction method based on MRS-MM (Multi-Rules Supported Matching Model) target matching model
CN104462402A (en) * 2014-12-12 2015-03-25 重庆市荣冠科技有限公司 Pipe network data compilation system
CN104504701A (en) * 2014-12-19 2015-04-08 深圳先进技术研究院 Image display method and system based on streetscape attribute information
CN104677277A (en) * 2015-02-16 2015-06-03 武汉天远视科技有限责任公司 Method and system measuring geometric attribute of object or distance
CN105630988A (en) * 2015-12-23 2016-06-01 中山大学 Method and system for rapidly detecting space data changes and updating data
CN105740325A (en) * 2016-01-20 2016-07-06 国家基础地理信息中心 Trans-scale geographic information linkage updating technical method based on spatial automatic matching
CN106056492A (en) * 2016-06-13 2016-10-26 西安数驰信息科技有限公司 Real estate unified registration information management solution method
KR20180069547A (en) * 2016-12-15 2018-06-25 (주)넥스지오 Constructing Method of Three Dimension Model Using Line Information Based on Two Dimension Drawing and System of The Same
CN107393003A (en) * 2017-08-07 2017-11-24 苍穹数码技术股份有限公司 A kind of method of three-dimensional house automatic modeling based on cloud computing and realization
CN108121825A (en) * 2018-01-15 2018-06-05 霍亮 Topographic data manages system
CN109933567A (en) * 2019-03-26 2019-06-25 贵州图智信息技术有限公司 Archive of surveying and mapping spatialization processing application system and method based on GIS modelling technique
CN110321344A (en) * 2019-05-20 2019-10-11 平安普惠企业管理有限公司 Information query method, device, computer equipment and the storage medium of associated data

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
姬存伟等: "基于图形数据差的居民地变化信息提取方法研究", 《测绘工程》, 25 July 2017 (2017-07-25), pages 47 - 51 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113111179A (en) * 2021-03-09 2021-07-13 智慧芽信息科技(苏州)有限公司 File classification processing method, device, server and system
CN117371961A (en) * 2023-11-17 2024-01-09 重庆市勘察规划设计有限公司 Mobile-terminal-based outdoor data mapping and collecting method and system
CN117371961B (en) * 2023-11-17 2024-04-16 重庆欣荣土地房屋勘测技术研究所有限责任公司 Mobile-terminal-based outdoor data mapping and collecting method and system

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