CN111949845B - 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 PDFInfo
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Abstract
The application relates to a method, apparatus, computer device and storage medium for processing mapping information. The method comprises the following steps: acquiring mapping information aiming at a target area; the mapping information at least comprises a mapping attribute data table and a spatial 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 mapping attribute data and the spatial graphic data have mutually matched data, at least one group of associated data sets is obtained; the associated data set comprises mapping attribute data and spatial graphic data which are matched with each other; and storing the mapping attribute data table and the spatial graphic file in a mapping information database aiming at the target area according to the interrelationship established by at least one group of associated data sets. The method can realize the completion of mapping information processing by chart association and improve the efficiency of mapping information processing.
Description
Technical Field
The present disclosure relates to the field of information processing technologies, and in particular, to a method, an apparatus, a computer device, and a storage medium for processing mapping information.
Background
When collecting the migration project in the city reconstruction process, in order to provide basis for subsequent searching and compensation stages, the city migration related information is generally required to be mapped to obtain attribute data such as land area address, land area condition, building condition, floor condition, household condition, various area quantity, land attachment condition and space data such as red line and image map of land.
At present, attribute data is generally managed by an Excel table mode, spatial data is managed by a CAD format, and mapping information is generally processed by manual maintenance and manual query of statistical files by personnel, so that the current mapping information processing method is low in efficiency.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, computer device, and storage medium for processing mapping information.
A method of processing mapping information, the method comprising:
acquiring mapping information aiming at a target area; the mapping information at least comprises a mapping attribute data table and a spatial 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 mapping attribute data and the spatial graphic data have mutually matched data, at least one group of associated data sets is obtained; the associated data set comprises mapping attribute data and spatial graph 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 correlation relation established by the at least one group of correlation data sets.
In one embodiment, the data classification field includes a parcel address field; the mapping attribute data belonging to the preset data classification field comprise first land address information belonging to the land 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; and if the mapping attribute data and the spatial graphic data have mutually matched data, obtaining at least one group of associated data sets, wherein the method comprises the following steps: acquiring a first keyword in the first land address information and acquiring a second keyword in the second land address information; and if the first keyword is matched with the second keyword, establishing the association data set based on the first land address information and the second land address information.
In one embodiment, the data classification field includes a land number field; the plurality of mapping attribute data belonging to the preset data classification field comprises first land number data belonging to the land 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; and if the mapping attribute data and the spatial graphic data have mutually matched data, obtaining at least one group of associated data sets, wherein the method comprises the following steps: if the first place number data and the second place number data have the same data, the association data set is established based on the first place number data and the second place number data.
In one embodiment, after the acquiring mapping information for the target region, the method further comprises: acquiring 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 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 the mapping information database according to the specification classification field.
In one embodiment, storing the mapping attribute data table and the spatial graphic file in a mapping information database for the target region in a correlation relationship established based on the at least one set of correlation data sets includes: 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 the mapping information database according to the correlation relation.
In one embodiment, the checking results includes: a result of the checking of the data type of the mapping attribute data, a result of the checking of the data length of the mapping attribute data, a result of the checking of the data integrity of the mapping attribute data, a result of the checking of the data dictionary of the mapping attribute data, a result of the checking of the data relevance of the mapping attribute data, a result of the checking of the data repeatability of the mapping attribute data, a result of the checking of the integrity of the spatial graphic data, a result of the checking of the uniqueness of the spatial graphic data and/or a result of the checking of the accuracy of the graphic data topology of the spatial graphic data.
In one embodiment, the method further comprises: acquiring first mapping attribute data; reading first space graphic data correlated with the first mapping attribute data from the mapping information database, and displaying the first space graphic data; and/or acquiring second spatial graphic data; and reading second mapping attribute data which are correlated with the second space graphic data from the mapping information database, and displaying the second mapping attribute data.
An apparatus for processing mapping information, the apparatus comprising:
the mapping information acquisition module is used for acquiring mapping information aiming at the target area; the mapping information at least comprises a mapping attribute data table and a spatial graphic file;
the related field determining module is used for 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;
the associated data acquisition module is used for acquiring at least one group of associated data groups if the mapping attribute data and the spatial graphic data have mutually matched data; the associated data set comprises mapping attribute data and spatial graph data which are matched with each other;
And the mapping data storage module is used for storing the mapping attribute data table and the space graphic file into a mapping information database aiming at the target area according to the correlation relation established by the at least one group of correlation data sets.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.
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 spatial 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 mapping attribute data and the spatial graphic data have mutually matched data, at least one group of associated data sets is obtained; the associated data set comprises mapping attribute data and spatial graphic data which are matched with each other; and storing the mapping attribute data table and the spatial graphic file in a mapping information database aiming at the target area according to the interrelationship established by at least one group of associated data sets. According to the method and the device, the correlation relation between the mapping attribute data table and the spatial graphic file is established, the chart correlation is achieved, the mapping information is processed, personnel are not required to manually inquire the statistical file, and the efficiency of mapping information processing is improved.
Drawings
FIG. 1 is a flow diagram of a method of processing mapping information in one embodiment;
FIG. 2 is a flow chart of obtaining at least one set of associated data sets if a plurality of mapping attribute data and a plurality of spatial graphic data have mutually matched data in one embodiment;
FIG. 3 is a flow chart illustrating storing mapping attribute data stored in a mapping attribute data table in a mapping information database according to a canonical class field in one embodiment;
FIG. 4 is a flow chart of a method of processing mapping information in another embodiment;
FIG. 5 is a flow chart of a method for processing urban update migration project mapping information in an example application;
FIG. 6 is a block diagram of an apparatus for processing mapping information in one embodiment;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only 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, where the method is applied to a terminal for illustration, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through 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 graphic 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 region refers to a source region of collected mapping information, and the mapping information may include mapping attribute data such as a mapping area of a house, a region to which the house belongs, and a limitation of rights of the house, where the mapping attribute data is typically stored by means of a mapping attribute data table (e.g. an Excel table), and may further include spatial graphic data such as a religious red line and a religious outline, where the spatial graphic data is typically stored by means of a spatial graphic file (e.g. a CAD file). Specifically, the terminal may obtain mapping information for the target region by reading mapping attribute data from the mapping attribute data table and reading spatial graphic data from the spatial graphic file.
In 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 for completing the establishment of the association relation 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 a plurality of mapping attribute data under the preset data classification field from the mapping attribute data table and a plurality of spatial graphic data under the preset data classification field from the spatial graphic file, respectively, according to the preset classification field input by the user.
Step S103, if the mapping attribute data and the space graphic data have mutually matched data, the terminal obtains at least one group of associated data; the association data set includes mapping attribute data and spatial graphic data that match each other.
The associated data set refers to a data set obtained by the terminal under the condition that mapping attribute data in the mapping attribute data table and space graphic data in the space graphic file are matched with each other under the preset classification field. For example: the preset classification field entered may be a owner name, then in the mapping attribute data table under this classification field of the owner name, the owner name a, the owner name B, and the owner name C may be stored, and in the space graphics file under this classification field of the owner name, the owner name a, the owner name B, and the owner name D may be stored, and in the mapping attribute data table, the owner name a and the owner name B may be matched with the owner name a and the owner name B in the space graphics file, so that the terminal may establish the association data set based on the owner name a and the owner name B, respectively.
Step S104, the terminal stores the mapping attribute data table and the space graphic file in a mapping information database aiming at the target area based on the correlation relation established by at least one group of correlation 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, based on the association data set, the terminal may establish an association relationship between the mapping attribute data table and the spatial graphic file, and store the mapping attribute data table and the spatial graphic file in the mapping information database for the target area according to the association 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 spatial graphic file has been established, mapping attribute data related to the owner name a in the mapping attribute data table and spatial graphic data related to the owner name a in the spatial graphic file may be correlated by the association data set and stored in the mapping information database. When related mapping information of the owner A is required to be queried through the mapping information database, the related mapping attribute data and the spatial graphic data of the owner A can be obtained simultaneously 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 spatial 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 mapping attribute data and the spatial graphic data have mutually matched data, at least one group of associated data sets is obtained; the associated data set comprises mapping attribute data and spatial graphic data which are matched with each other; and storing the mapping attribute data table and the spatial graphic file in a mapping information database aiming at the target area according to the interrelationship established by at least one group of associated data sets. According to the method and the device, the terminal establishes the correlation relation between the mapping attribute data table and the space graphic file, the chart correlation is achieved, the mapping information is processed, personnel are not required to manually inquire the 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 belonging to the preset data classification field comprises first parcel address information belonging 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, and step S103 further includes:
In step S201, the terminal obtains a first keyword in the first land address information and obtains a second keyword in the second land address information.
Land refers to a parcel of land that is within the rights and addresses of a land use crews. The address of the land refers to the address of the address range of the rights and interests. The plurality of religion address information may be stored in both the mapping attribute data table and the religion address field in the spatial graphic file, wherein the religion address information stored under the religion address field of the mapping attribute data table may be defined as first religion address information and the religion address information stored under the religion address field in the spatial graphic file may be defined as second religion address information. Specifically, the terminal may extract a first keyword from the obtained first parcel address information, the keyword may be provincial information, urban area information or street information, house 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, thereby obtaining the first keyword and the second keyword, respectively.
In step S202, if the first keyword matches the second keyword, the terminal establishes an association data set based on the first land address information and the second land address information.
In step S201, after the terminal obtains the first keyword from the first land address information and the second keyword from the second land address information, the data matching the second keyword may be obtained from the first keyword by using a keyword matching manner, and the association data set may be established between the first land address information corresponding to the first keyword and the second land address information corresponding to the second keyword under keyword matching.
For example: the mapping attribute data table stores first land address information including: the parcel address a, the parcel address B, and the parcel address C, and the first keywords corresponding to each include a keyword a, a keyword B, and a keyword C, and the second parcel address information stored in the spatial graphic file may include: the first keyword and the second keyword under the matching of the keywords can include the keyword a and the keyword B, so that the associated data set of the land address a and the associated data set of the land address B can be respectively established based on the corresponding land address a and the land address B.
In addition, since the land address may change due to the change of the address name, in order to further improve the accuracy of mapping information processing, in one embodiment, the preset data classification field further includes a land number field; the plurality of mapping attribute data belonging to the preset data classification field includes first land number data belonging to a land 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 land number data and the second land number data have the same data, the terminal establishes an associated data set based on the first land number data and the second land number data.
The system comprises a space graphic file, a land number field, a land number data table and a land number data table, wherein the land number data is an identification number for identifying a land, has uniqueness, each land has corresponding land number data, the land number field is a classification field for storing a plurality of land number data, the first land number data is land number data stored under the land number field in the mapping attribute data table, and the second land number data is land number data stored under the land number field in the space graphic file.
Specifically, the terminal may extract a plurality of first parcel number data from parcel number fields in the mapping attribute data table, or extract a plurality of second parcel number data from parcel number fields in the spatial graphic file, and compare each first parcel number data with all second parcel number data, and if first parcel number data identical to second parcel number data appears, the same parcel number data may be used to establish a corresponding association data set.
In this embodiment, the terminal may establish the association data set through the land address information, so that a plurality of mapping attribute data in the mapping attribute data table and a plurality of space graphic data in the space graphic file may be associated with each other to form the association data set, and in addition, the establishment of the association data set may be completed through a unique land number data, which may be a unique land identifier, so as to avoid the establishment failure of the corresponding relationship data set caused by the change of the address name, and further improve the accuracy of the constructed project database.
In addition, in consideration of the fact that the data in the mapping attribute data table may be named in different naming manners in different mapping attribute data tables, in one embodiment, as shown in fig. 3, after step S101, the method for processing mapping information may further include:
In step S301, the terminal acquires a plurality of data classification fields of the mapping attribute data table.
Wherein, a plurality of different types of mapping attribute data, such as owner name, land area and the like, are stored in the mapping attribute data table, and respectively possess 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 correspondence between the data classification field and the standard classification field.
The field mapping table is used for storing the correspondence between the data classification field and the standard classification field, wherein the standard classification field is a 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 a name, and in the mapping attribute data table B, the data classification field of the user name item is a name, so, in order to unify the data classification fields in the mapping attribute data tables, the correspondence 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 a customer name, the correspondence between the name and the customer name and the correspondence between the name and the customer name can be established respectively, and then the terminal can convert the name field in the mapping attribute data table a and the name field in the mapping attribute data table B into the customer name field according to the field mapping table.
In step S303, the terminal stores the mapping attribute data stored in the mapping attribute data table in the mapping information database according to the canonical classification field.
After the terminal converts the data classification field in the mapping attribute data table into the standard classification field, mapping attribute data stored in the original data classification field can be written into the converted standard classification field and stored in the mapping information database.
In this embodiment, the field mapping table converts the data classification fields named in different manners in different mapping attribute data tables into the unified named standard classification fields, which is beneficial to improving the accuracy and integrity of mapping information stored in the mapping information database.
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 passes, 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 accuracy and integrity of mapping information stored in the mapping information database, before the terminal stores mapping data of the mapping attribute data table and the spatial graphic file in the mapping information database, data inspection is further required for the mapping attribute data and the spatial graphic data, and after the data inspection passes, the mapping attribute data and the spatial graphic data are stored in the mapping information database in an interrelation relationship.
Further, the content of the terminal for checking the mapping attribute data and the spatial graphic data may specifically include, for example, the terminal may check whether the mapping attribute data is complete in data type, data length, necessary entry, whether the data dictionary is accurate, whether the data is associated, whether there is repeated data, and the like, and obtain a corresponding checking result. Meanwhile, the terminal can also check the space graphic data, including checking the key numbers of the space graphic data, namely the land numbers and the like, for the non-empty property of the data forming the associated data group, and checking whether the uniqueness of the space graphic data and the topology of the graphic data are correct or not, and obtaining a corresponding checking result.
In the above embodiment, before the terminal stores the mapping attribute data and the spatial graphic data in the mapping information database in the correlation relationship, the terminal also performs data inspection on the mapping attribute data and the spatial graphic 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 include: the terminal acquires first mapping attribute data; reading first space graphic data correlated with the first mapping attribute data from a mapping information database, and displaying the first space graphic data; acquiring second space graphics data; and reading second mapping attribute data of the second spatial graphic data in mutual association from a mapping information database, and displaying the second mapping attribute data.
After the terminal finishes the mapping attribute data table and the spatial graphic file according to the correlation relationship, and stores the mapping attribute data table and the spatial graphic file in the mapping information database, if a user needs to query related mapping information, for example, wants to directly query related data of the spatial graphic file through the mapping attribute data, the user can input first mapping attribute data through the terminal at the moment, and the terminal can read the pre-stored first spatial graphic data correlated with the first mapping attribute data from the mapping information database and display the first spatial graphic data through a display module of the terminal. For example: the user can firstly input the collection address information by using the terminal, then the terminal can find the corresponding associated data set by collecting the address information, obtain the corresponding first space graphic data and display the associated map of the collection address. In addition, the user can input second space graphic data through the terminal to obtain corresponding second mapping attribute data and display the second mapping attribute data. For example, the user can click any spatial graphic data on the spatial graphic interface displayed in the terminal, and the terminal can jump to the 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, so as to implement "in-text query" and "in-text query" linkage, 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, where this embodiment is applied to a terminal for illustrating the method, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through 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 spatial graphic file;
step S402, a terminal acquires a plurality of data classification fields of a 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 relation between the data classification field and the standard classification field;
Step S403, the terminal determines a plurality of first land number data belonging to the land number field in the mapping attribute data table, and a plurality of second land number data belonging to the land number field in the space graphic file;
step S404, if the first land number data and the second land number data have the same data, the terminal establishes a related data group based on the first land number data and the second land 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 checking results of the mapping attribute data and the space graphic data;
in step S406, if the inspection result of the mapping attribute data and the spatial graphic data is that the inspection is passed, the terminal classifies the mapping attribute data and the spatial graphic data according to the specification to store the mapping information database for the target area in the correlation relationship established based on at least one set of correlation data sets.
In the embodiment, the terminal establishes the correlation relation between the mapping attribute data table and the space graphic file, so that the chart correlation is realized to finish the processing of mapping information, personnel are not required to manually inquire the statistical file, and the efficiency of mapping information processing is improved. In addition, the accuracy and the completeness of mapping information processing can be further improved by establishing an association relation of the land parcel number data under the land parcel number field, converting the data classification fields named in different modes in different mapping attribute data tables into unified named standard classification fields and performing data inspection on the mapping attribute data and the space graphic data through the field mapping table.
In an application example, a method for processing mapping information of an urban updating transition project is further provided, mapping is needed when the urban updating transition project is carried out, the mapping data can be used as the basis for subsequent searching and compensation, and specifically, the mapping data can comprise the following two data structures: attribute data structure and spatial data structure:
1. attribute data structure:
considering the current situation of city update, we divide the mapping into two major phases, namely "prediction" (with the beginning of the table being YC_) and "actual measurement" (with the beginning of the data table being SC_)
In the aspect of land building, considering the condition of urban updating and repairing, there are land, home, collective land and collective property, so the five-level structure of land-natural building-logical building-layer-household is taken as a design main body by combining the data standard of real property registration, and the five-level structure can adapt to the condition of all properties and is used as a foundation stone for mapping the data structure.
In combination with the existing city updating mapping specification, when each layer of mapping area is recorded, the acquisition table is recorded according to the format of a mapping specification system (A6 represents the area of the A type structure 1-6, A2-5 represents the area of the A type structure 2-5), so that mapping units can record better.
In the aspect of attachment, attachments and young seedlings on land need to be recorded in the process of mapping and collecting, so that related data structure rules are added in the process of designing a database and collecting a table.
In the aspect of the property status, besides the mapping information of the house, the information required to be used in later compensation is considered, and the data of the property status of the ground building are added to the mapping acquisition table, so that the data acquired by mapping are more complete.
Through the above 2 phases, 3 aspects, the migrated attribute data is built up.
2. Spatial data structure:
in terms of spatial data, in addition to requiring the mapping units to provide CAD, the mapping units are also required to provide data in SHP format, with a coordinate system that is as uniform as possible (west an 80/guangzhou 2000/country 2000). Thus, the SHP red lines can be imported into the system for unified management, and related CAD can be viewed as an accessory, so that the whole mapping data is managed.
Specifically, as shown in fig. 5, the method for processing mapping information of urban update transition projects in the application example may include the following steps:
step s1: and compiling a collected data template.
And compiling an acquisition data template according to the actual condition of the acquisition area. The attribute template adopts a common EXCEL format file, the collected data template is designed according to object classification, and the standard information is designed according to the following list of dictionary items, so that incorrect input is avoided. The spatial graphic data template adopts a common SHP format file, and sets a number field so as to be associated with attribute data.
Step s2: and configuring an import scheme.
The software reads the EXCEL format data template, displays each data tab of the acquisition template and each column in the tab, can configure the relation between the mapping and the database table field for each column of each tab, and can configure the necessary filling, the data dictionary, the association verification and the repeatability verification of each field.
And step 3, checking and warehousing data.
(1) Attribute collection data inspection warehouse entry
The method can select an import scheme matched with the acquisition table template corresponding to the current data to check and store the acquisition data in the EXCEL format, the program checks the type, the length, the filling, the data dictionary, the relevance, the repeatability and the like of the data according to the scheme configuration, and the acquisition data through checking is configured and stored in the corresponding table and field in the database according to the import scheme, so that the quality of the storage data is effectively ensured.
(2) Graphic acquisition data inspection warehouse entry
And checking the graphic data produced according to the graphic SHP data template, including checking the key number non-null and uniqueness, checking the topology error of the graphic data, and the like, and warehousing the checked data into the corresponding database layer.
Step s4: the map is associated with a location query.
(1) Property association positioning graph
And inquiring the corresponding property records according to the attribute inquiry conditions, clicking a [ view graph ] button, opening a view graph page by a program, and positioning the graph of the view collection unit in the map.
(2) Attributes such as graphic association viewing property
Clicking a graph needing to view property rights or protocols in a map view, and selecting (viewing property rights) or (viewing protocols), so that a property right or protocol detail page of the graph can be jumped.
Step s5: and (5) diagrammatical analysis statistics.
The data after warehouse entry can be subjected to self-defined query statistics, query conditions can be set as required for statistics, statistical attribute records and graphic records are displayed, diagrammatical thematic rendering can be performed on statistical result data, and a visualized chart style is utilized for displaying statistical analysis results.
In the application example, the standardization and high quality of the city information acquisition data are ensured through the source template and the scheme inspection and warehousing processing, and the aim of providing accurate data support for subsequent voting, signing and compensation works is fulfilled. In addition, based on the urban information data after the mutual association and warehousing, the map genus association and positioning inquiry and diagrammatical analysis statistics can be realized, and the data value of the urban information is embodied.
It should be understood that, although the steps in the flowcharts of fig. 1-5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 1-5 may include multiple steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the steps or stages in other steps or 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 acquiring module 601, configured to acquire mapping information for a target area; the mapping information at least comprises a mapping attribute data table and a spatial graphic file;
An associated field determining module 602, configured to determine a plurality of mapping attribute data belonging to a preset data classification field in the mapping attribute data table, and determine a plurality of spatial graphic data belonging to the data classification field in the spatial graphic file;
the associated data obtaining module 603 is configured to obtain at least one set of associated data if the plurality of mapping attribute data and the plurality of spatial graphic data have data matched with each other; the associated data set comprises mapping attribute data and spatial graphic data which are matched with each other;
and a mapping data storage module 604, configured to store the mapping attribute data table and the spatial graphic file in a mapping information database for the target region based on the correlation relationship established by the 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 belonging to the preset data classification field comprises first parcel address information belonging 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; the associated data obtaining module 603 is further configured to obtain a first keyword in the first land address information, and obtain a second keyword in the second land address information; if the first keyword matches the second keyword, an association data set is established based on the first parcel address information and the second parcel address information.
In one embodiment, the data classification field includes a land number field; the plurality of mapping attribute data belonging to the preset data classification field includes first land number data belonging to a land 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 land number data and the second land number data if the first land number data and the second land number data have the same data.
In one embodiment, the mapping information acquiring module 601 is further configured to acquire 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 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 specification classification field.
In one embodiment, the mapping data storage module 604 is further configured to check mapping attribute data in the mapping attribute data table and space graphics data in the space graphics file to obtain a checking result of the mapping attribute data and the space graphics data; and if the inspection result is that the inspection passes, storing the mapping attribute data and the spatial graphic data into a mapping information database in a mutual association relationship.
In one embodiment, checking the results includes: a result of the checking of the data type of the mapping attribute data, a result of the checking of the data length of the mapping attribute data, a result of the checking of the data integrity of the mapping attribute data, a result of the checking of the data dictionary of the mapping attribute data, a result of the checking of the data relevance of the mapping attribute data, a result of the checking of the data repeatability of the mapping attribute data, a result of the checking of the integrity of the spatial graphic data, a result of the checking of the uniqueness of the spatial graphic data and/or a result of the checking of the accuracy of the 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 space graphic data correlated with the first mapping attribute data from a mapping information database, and displaying the first space graphic data; the method comprises the steps of acquiring second space graphic data; and reading second mapping attribute data which are correlated with the second space graph data from the mapping information database, and displaying the second mapping attribute data.
For specific limitations on the apparatus for processing the mapping information, reference may be made to the above limitations on the method for processing the mapping information, and no further description is given here. The various modules in the apparatus for processing mapping information described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which 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 includes a non-volatile 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 the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode 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, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A method of processing mapping information, the method comprising:
acquiring mapping information aiming at a target area; the mapping information at least comprises a mapping attribute data table and a spatial 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; the data classification field includes a land number field; the plurality of mapping attribute data belonging to the preset data classification field comprises first land number data belonging to the land 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;
If the mapping attribute data and the spatial graphic data have mutually matched data, at least one group of associated data sets is obtained; the associated data set comprises mapping attribute data and spatial graph data which are matched with each other; comprising the following steps: if the first place number data and the second place number data have the same data, establishing the association data group based on the first place number data and the second place number data;
storing the mapping attribute data table and the spatial graphic file in a mapping information database for the target area according to the correlation relationship established based on the at least one group of correlation data sets;
the method further comprises the steps of:
acquiring 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 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 the mapping information database according to the specification classification field.
2. The method of claim 1, wherein the data classification field comprises a parcel address field; the mapping attribute data belonging to the preset data classification field comprise first land address information belonging to the land 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;
and if the mapping attribute data and the spatial graphic data have mutually matched data, obtaining at least one group of associated data sets, wherein the method comprises the following steps:
acquiring a first keyword in the first land address information and acquiring a second keyword in the second land address information;
and if the first keyword is matched with the second keyword, establishing the association data set based on the first land address information and the second land address information.
3. The method according to claim 1 or 2, wherein storing the mapping attribute data table and the spatial graphic file in a mapping information database for the target region based on the interrelationships established by the at least one set of interrelated data sets, comprises:
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 the mapping information database according to the correlation relation.
4. A method according to claim 3, wherein the checking results comprises: a result of the checking of the data type of the mapping attribute data, a result of the checking of the data length of the mapping attribute data, a result of the checking of the data integrity of the mapping attribute data, a result of the checking of the data dictionary of the mapping attribute data, a result of the checking of the data relevance of the mapping attribute data, a result of the checking of the data repeatability of the mapping attribute data, a result of the checking of the integrity of the spatial graphic data, a result of the checking of the uniqueness of the spatial graphic data and/or a result of the checking of the accuracy of the graphic data topology of the spatial graphic data.
5. The method according to claim 1, wherein the method further comprises:
Acquiring first mapping attribute data;
reading first space graphic data correlated with the first mapping attribute data from the mapping information database, and displaying the first space graphic data;
and/or
Acquiring second space graphic data;
and reading second mapping attribute data which are correlated with the second space graphic data from the mapping information database, and displaying the second mapping attribute data.
6. An apparatus for processing mapping information, the apparatus comprising:
the mapping information acquisition module is used for acquiring mapping information aiming at the target area; the mapping information at least comprises a mapping attribute data table and a spatial graphic file;
the related field determining module is used for 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; the data classification field includes a land number field; the plurality of mapping attribute data belonging to the preset data classification field comprises first land number data belonging to the land 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 acquisition module is used for acquiring at least one group of associated data groups if the mapping attribute data and the spatial graphic data have mutually matched data; the associated data set comprises mapping attribute data and spatial graph data which are matched with each other; further for establishing the association data set based on the first and second parcel number data if the first and second parcel number data have the same data;
a mapping data storage module, configured to store the mapping attribute data table and the spatial graphic file in a mapping information database for the target area based on the correlation relationship established by the at least one set of correlation data sets;
the mapping information acquisition module is also used for acquiring 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 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 the mapping information database according to the specification classification field.
7. The apparatus of claim 6, wherein the data classification field comprises a parcel address field; the mapping attribute data belonging to the preset data classification field comprise first land address information belonging to the land 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 acquisition module is further used for acquiring a first keyword in the first land address information and acquiring a second keyword in the second land address information; and if the first keyword is matched with the second keyword, establishing the association data set based on the first land address information and the second land address information.
8. The apparatus according to claim 6 or 7, wherein the mapping data storage module is further configured to check mapping attribute data in the mapping attribute data table and spatial graphics data in the spatial graphics file, to obtain a result of checking the mapping attribute data and the spatial graphics data; and if the inspection result is that the inspection is passed, storing the mapping attribute data and the spatial graphic data into the mapping information database according to the correlation relation.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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Citations (15)
| 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 |
| 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 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100306249A1 (en) * | 2009-05-27 | 2010-12-02 | James Hill | Social network systems and methods |
-
2020
- 2020-07-02 CN CN202010626766.6A patent/CN111949845B/en active Active
Patent Citations (15)
| 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 |
| 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)
| Title |
|---|
| 基于图形数据差的居民地变化信息提取方法研究;姬存伟等;《测绘工程》;20170725;47-51 * |
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