CN112988836A - Digital migration space data management method - Google Patents
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Abstract
The invention relates to a digital sign space data management method, which is characterized by comprising the following steps: acquiring various types of migration survey data; acquiring a project created by a project group, and setting project basic information, a project element classification and grading template, a project attribute public field, a visual style and a project participant role template; acquiring project participants added to the project group and project roles allocated according to the role templates of the project participants; processing each migration survey data according to a normalization processing rule; importing the global unified and standardized survey data formed by normalization into a standard database, separating by taking a project as a unit, and realizing isolation control on the data; acquiring a corresponding project selected by a project group, and importing standardized survey data related to the project; and performing visualization and project related data calculation analysis based on the survey data of the corresponding project.
Description
Technical Field
The invention relates to a digital sign-up space data management method. The method is suitable for the technical field of computers.
Background
With the rapid development of urbanization and industrialization processes in China, the demand of construction land is sharply increased, land migration data are also generated in a large scale, and due to the fact that the collection means, the collection mode and the collection process are different in focus, although the same region is described, vector data are different in space position, attribute information and the like. How to unify land acquisition and migration data becomes a basic problem of land acquisition and migration data management, updating, integration and sharing.
In recent years, the construction of novel infrastructures enters a rapid development stage, seven fields such as big data, artificial intelligence and industrial internet are involved, and finally national ecology, digitization, intellectualization, high speed and the like can be realized. Land migration also enters a data era, a digital land migration space data management system is established by combining big data and artificial intelligence technology and becomes a mainstream trend, and along with the rapid increase of the volume of the migrated space data, the efficient storage and management of large-scale space data are emphasized.
At present, a system storage framework of large-scale spatial data mainly comprises three types, namely a single-machine file system, a distributed spatial database and the like; the adopted technical method mainly comprises the steps of using a spatial relation database to store spatial data, using spatial operation middleware of the database to store the data, using cluster network storage equipment such as NAS and SAN to store the data, using a distributed file system to store the spatial data and the like. The traditional method has the defects of real-time performance, high-efficiency management, process management control and the like.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: in order to solve the existing problems, a digital sign-up space data management method is provided.
The technical scheme adopted by the invention is as follows: a digital migration space data management method is characterized in that:
acquiring various types of migration survey data;
acquiring a project created by a project group, and setting project basic information, a project element classification and grading template, a project attribute public field, a visual style and a project participant role template;
acquiring project participants added to the project group and project roles allocated according to the role templates of the project participants;
processing each migration survey data according to a normalization processing rule, wherein the normalization processing comprises geometric position normalization processing, attribute feature normalization processing and visual style normalization processing, and the attribute feature normalization processing is based on an item element classification template and an item attribute public field;
importing the global unified and standardized survey data formed by normalization into a standard database, separating by taking a project as a unit, and realizing isolation control on the data;
acquiring a corresponding project selected by a project group, and importing standardized survey data related to the project;
and performing visualization and project related data calculation analysis based on the survey data of the corresponding project.
The attribute feature normalization comprises element classification grading and attribute feature expression normalization;
classifying and grading the element fees according to an item element classifying and grading template formulated by the item group, and uniformly processing the attribute characteristics of the multi-source data according to the template;
the attribute feature expression sets a public field and a private field for an attribute field, wherein the public field is attribute information shared by all data sources, and the private field is attribute information of each data source, which is different from the shared attribute field.
The standard database provides a virtualized file reading and writing basis for upper-layer users through a virtual distributed file system on the basis of distributed storage, and stores data entities into data storage nodes in different modes through data storage strategies according to different data types.
The multi-class migration survey data comprise migration red line data, administrative division data, house building data, full-element land block data and ownership data.
A digital migration space data management device is characterized in that:
the system comprises a collection data acquisition module, a data acquisition module and a data processing module, wherein the collection data acquisition module is used for acquiring various types of collection survey data;
the project information acquisition module is used for acquiring projects created by the project group, and set project basic information, project element classification and classification templates, project attribute public fields, visual styles and project participant role templates;
the role distribution module is used for acquiring the project participants added to the project group and the project roles distributed according to the role templates of the project participants;
the normalization processing module is used for processing each investigation data according to a normalization processing rule, and comprises geometric position normalization processing, attribute feature normalization processing and visual style normalization processing, wherein the attribute feature normalization processing is based on an item element classification and classification template and an item attribute public field;
the data storage module is used for importing the global unified and standardized survey data formed by normalization processing into a standard database, separating the data by taking the items as units and realizing isolation control on the data;
the project selection module is used for acquiring corresponding projects selected by the project group and importing standardized survey data related to the projects;
and the visualization and analysis calculation module is used for performing visualization and project related data calculation analysis based on the investigation data of the corresponding project.
The attribute feature normalization comprises element classification grading and attribute feature expression normalization;
classifying and grading the element fees according to an item element classifying and grading template formulated by the item group, and uniformly processing the attribute characteristics of the multi-source data according to the template;
the attribute feature expression sets a public field and a private field for an attribute field, wherein the public field is attribute information shared by all data sources, and the private field is attribute information of each data source, which is different from the shared attribute field.
The standard database provides a virtualized file reading and writing basis for upper-layer users through a virtual distributed file system on the basis of distributed storage, and stores data entities into data storage nodes in different modes through data storage strategies according to different data types.
The multi-class migration survey data comprise migration red line data, administrative division data, house building data, full-element land block data and ownership data.
A storage medium having stored thereon a computer program that is processable by a processor, wherein: the computer program when executed implements the steps of the digital sign-up space data management method.
A computer device having a memory and a processor, the memory having stored thereon a computer program that is processable by the processor, characterized in that: the computer program when executed implements the steps of the digital sign-up space data management method.
The invention has the beneficial effects that: the method solves a uniform system of the investigation data, realizes the standardized processing of the data, is an important way for improving the quality and efficiency of the analysis calculation and the updating of the investigation data, is beneficial to mining and utilizing rich land and personnel information contained in mass investigation data, and promotes the sharing and integration of the investigation data; the problem of large-capacity, high-stability and extensible migration space data storage is solved, and the defects of the traditional method in the aspects of real-time and high-efficiency management are overcome; the problem of project flow control is solved; and establishing a user visual view model, and solving the problems of dynamic display and browsing of investigation data of different users and different views.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a flowchart of the digital migration space data management device according to the present invention.
Fig. 3 is a flowchart illustrating a method for managing digital sign-up space data according to an embodiment of the present invention.
Fig. 4 is a schematic view of an attribute feature normalization processing flow in a digital sign-up space data management method according to an embodiment of the present invention.
In the figure: 1. the system comprises a expropriation data acquisition module 2, a project information acquisition module 3, a role distribution module 4, a normalization processing module 5, a data storage module 6, a project selection module 7 and a visualization and analysis calculation module.
Detailed Description
The embodiment is a digital sign-up space data management method, which specifically comprises the following steps:
and S1, acquiring various types of investigation data including red line investigation data, administrative division data, house building data, full-element land parcel data and ownership data.
And S2, acquiring the project created by the project group, and the set project basic information, project element classification and grading template, project attribute public field, visualization style and project participant role template.
And S3, acquiring project participants added to the project group and project roles allocated according to the project participant role templates.
S4, processing each investigation data according to the normalization processing rule, wherein the inconsistency of the investigation data in the processing process is mainly reflected in three aspects: geometric location, attribute features, and visualization style.
The geometric position normalization processing comprises the normalization of geographic coordinates, projection modes, representation methods and the like. The geometric position normalization processing is realized by adopting a spatial reference transformation, a mathematical basic transformation and a geometric position registration mode.
The attribute feature normalization process comprises element classification grading and attribute feature expression normalization. Classifying and grading the element fee according to a classification and grading element execution template formulated by the project group, and uniformly processing the attribute characteristics of the multi-source data according to the template; the attribute field is provided with a public field and a private field, the public field is attribute information shared by all data sources, and the private field is attribute information of each data source, which is different from the shared attribute field.
Visualization style normalization a uniform visualization style is customized by the project group, and the data source forms a uniform visualization effect according to the style template.
And S5, importing the global unified and standardized investigation data formed by the normalization processing into a standard database.
The standard database provides a virtualized file reading and writing basis for upper-layer users through a virtual distributed file system on the basis of distributed storage, and stores data entities into data storage nodes (an NFS file system, a spatial database, a NoSQL database and the like) in different ways through data storage strategies according to different data types.
Due to the spatial characteristics of data, the storage of data entities on nodes is realized by adopting different storage technologies, namely raster data stored in a single image file + tile pyramid form; vector database storage technology with higher data security, consistency, integrity and concurrent control; LOD and tiling organization three-dimensional data storage technology. And the management and operation of the data entities are realized through the management of the metadata and the corresponding data interface.
The embodiment separates the items and implements isolation control on data by using the items as units on the basis of distributed storage, and specifically includes: the project is separated in a project form, and meanwhile, data in the project are isolated and controlled, so that the data of the project are only available and visible in the project, and the problem that the process of expropriating the project is difficult to control is solved.
S6, acquiring the corresponding item selected by the item group, and importing the standardized survey data related to the item.
And S7, performing visualization and project related data calculation analysis based on the investigation data of the corresponding project, wherein the visualization editing processing comprises map editing, attribute field modification and the like of the investigation data corresponding to the project, and the calculation analysis of information such as human-house information, land information, compensation fund and the like.
The embodiment is based on a high-performance GIS service engine, develops a high-performance GIS online editing module, designs a high-performance GIS online editing software functional structure, realizes functions of online map editing, attribute editing, ownership editing, map symbolization, dynamic plotting and the like, and provides analysis and calculation capabilities of high-performance red line calculation, buffer area analysis and the like on the basis.
The embodiment also provides a digital sign-up space data management device, which comprises a sign-up data acquisition module, a project information acquisition module, a role distribution module, a normalization processing module, a data storage module, a project selection module, a visualization and analysis calculation module and the like
In this example, the migration data acquisition module is used for acquiring various types of migration survey data; the project information acquisition module is used for acquiring projects created by the project group, and set project basic information, project element classification and grading templates, project attribute public fields, visual styles and project participant role templates; the role distribution module is used for acquiring the project participants added to the project group and the project roles distributed according to the role templates of the project participants; the normalization processing module is used for processing each investigation data according to a normalization processing rule, and comprises geometric position normalization processing, attribute feature normalization processing and visual style normalization processing, wherein the attribute feature normalization processing is based on an item element classification template and an item attribute public field; the data storage module is used for importing the global unified and standardized survey data formed by normalization processing into a standard database, and separating the data by taking the items as units to realize isolation control on the data; the project selection module is used for acquiring corresponding projects selected by the project group and importing standardized survey data related to the projects; the visualization and analysis calculation module is used for performing visualization and project related data calculation analysis based on the investigation data of the corresponding project.
The present embodiment also provides a storage medium having a computer program stored thereon, which can be processed by a processor, and when the computer program is executed, the steps of the digital sign migration space data management method in the present embodiment are implemented.
The present embodiment further provides a computer device having a memory and a processor, where the memory stores a computer program capable of being processed by the processor, and the computer program, when executed, implements the steps of the digital sign migration space data management method in the present embodiment.
According to the embodiment, the acquired multi-source and multi-type migration survey data are processed by adopting the set normalization processing rule, the globally unified and standardized migration survey data are acquired, the problem of the difference of the data of the same item is solved, and a unified framework is provided for subsequent calculation and analysis.
According to the embodiment, the defects of the traditional method in the aspects of real-time and efficient management are overcome by constructing a high-performance distributed file system and utilizing a plurality of data nodes to cooperatively store the investigation big data. The project is stored and managed in a separated mode, the project is used as a unit, the project is physically separated, isolation control is achieved on data, and digital and flow management control on the expropriation project is achieved.
According to the method, a dynamic parallel visualization framework for the expropriated big data is built according to the characteristics of uncertainty of a massive multi-user concurrent display data area, uncertainty of content, uncertainty of data time sequence and the like.
The embodiment sets different roles according to the levels of project participants. The difference of roles determines the difference of online editing, attribute editing and calculation and analysis permission which can be performed by a user.
Claims (10)
1. A digital migration space data management method is characterized in that:
acquiring various types of migration survey data;
acquiring a project created by a project group, and setting project basic information, a project element classification and grading template, a project attribute public field, a visual style and a project participant role template;
acquiring project participants added to the project group and project roles allocated according to the role templates of the project participants;
processing each migration survey data according to a normalization processing rule, wherein the normalization processing comprises geometric position normalization processing, attribute feature normalization processing and visual style normalization processing, and the attribute feature normalization processing is based on an item element classification template and an item attribute public field;
importing the global unified and standardized survey data formed by normalization into a standard database, separating by taking a project as a unit, and realizing isolation control on the data;
acquiring a corresponding project selected by a project group, and importing standardized survey data related to the project;
and performing visualization and project related data calculation analysis based on the survey data of the corresponding project.
2. The digital sign-on migration space data management method according to claim 1, characterized in that: the attribute feature normalization comprises element classification grading and attribute feature expression normalization;
classifying and grading the element fees according to an item element classifying and grading template formulated by the item group, and uniformly processing the attribute characteristics of the multi-source data according to the template;
the attribute feature expression sets a public field and a private field for an attribute field, wherein the public field is attribute information shared by all data sources, and the private field is attribute information of each data source, which is different from the shared attribute field.
3. The digital sign-on migration space data management method according to claim 1, characterized in that: the standard database provides a virtualized file reading and writing basis for upper-layer users through a virtual distributed file system on the basis of distributed storage, and stores data entities into data storage nodes in different modes through data storage strategies according to different data types.
4. The digital sign-on migration space data management method according to claim 1, characterized in that: the multi-class migration survey data comprise migration red line data, administrative division data, house building data, full-element land block data and ownership data.
5. A digital migration space data management device is characterized in that:
the system comprises a collection data acquisition module, a data acquisition module and a data processing module, wherein the collection data acquisition module is used for acquiring various types of collection survey data;
the project information acquisition module is used for acquiring projects created by the project group, and set project basic information, project element classification and classification templates, project attribute public fields, visual styles and project participant role templates;
the role distribution module is used for acquiring the project participants added to the project group and the project roles distributed according to the role templates of the project participants;
the normalization processing module is used for processing each investigation data according to a normalization processing rule, and comprises geometric position normalization processing, attribute feature normalization processing and visual style normalization processing, wherein the attribute feature normalization processing is based on an item element classification and classification template and an item attribute public field;
the data storage module is used for importing the global unified and standardized survey data formed by normalization processing into a standard database, separating the data by taking the items as units and realizing isolation control on the data;
the project selection module is used for acquiring corresponding projects selected by the project group and importing standardized survey data related to the projects;
and the visualization and analysis calculation module is used for performing visualization and project related data calculation analysis based on the investigation data of the corresponding project.
6. The digital sign-up space data management device of claim 5, wherein: the attribute feature normalization comprises element classification grading and attribute feature expression normalization;
classifying and grading the element fees according to an item element classifying and grading template formulated by the item group, and uniformly processing the attribute characteristics of the multi-source data according to the template;
the attribute feature expression sets a public field and a private field for an attribute field, wherein the public field is attribute information shared by all data sources, and the private field is attribute information of each data source, which is different from the shared attribute field.
7. The digital sign-up space data management device of claim 5, wherein: the standard database provides a virtualized file reading and writing basis for upper-layer users through a virtual distributed file system on the basis of distributed storage, and stores data entities into data storage nodes in different modes through data storage strategies according to different data types.
8. The digital sign-up space data management device of claim 5, wherein: the multi-class migration survey data comprise migration red line data, administrative division data, house building data, full-element land block data and ownership data.
9. A storage medium having stored thereon a computer program that is processable by a processor, wherein: the computer program when executed implements the steps of the digital sign-up space data management method of any one of claims 1 to 4.
10. A computer device having a memory and a processor, the memory having stored thereon a computer program that is processable by the processor, characterized in that: the computer program when executed implements the steps of the digital sign-up space data management method of any one of claims 1 to 4.
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| CN114186962A (en) * | 2021-11-30 | 2022-03-15 | 海南图语地理信息技术有限公司 | House area expropriation and migration integrated system based on consensus method |
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