Data management method and system for land conservation and intensive utilization

Abstract

The invention discloses a data management method and system for land conservation and intensive utilization, and relates to the technical field of geographic information data management application, and the method comprises the following steps: obtaining multi-source heterogeneous land supply data, and obtaining a territorial resource database; establishing a dynamic update database for unavailable and idle lands which are not treated completely; organizing and managing a land-related database and red line boundary data, and constructing a graph database; and combining the dynamic update database, the dynamic update database and the one-map database, and dynamically checking and disposing the batch, unsupplied and idle land. According to the method, through a spatialization means, space precision control is carried out in combination with the coordinates of the land supply boundary points, space conflict detection is carried out on the reported boundary points firstly, it is guaranteed to the greatest extent that no large conflict range exists between the uploaded land parcel range and other land parcels, and meanwhile, the problem of batch supply consistency is guaranteed, that is, the land supply range must be within the batch range.

Description

Technical Field

[0001] The present invention relates to the field of geographic information data management application technology, and in particular to a data management method and system for land conservation and intensive utilization. Background Art

[0002] Timely deployment of annual overall evaluation, optimization of detailed evaluation technical routes, research on low-efficiency land determination system and promote its implementation. For enterprises and institutions’ own idle land, explore and study policies for building rental housing in accordance with laws and regulations.

[0003] At present, when promoting the cleanup and disposal of unallocated and idle land, there are two data handles: the ministerial land market dynamic monitoring and supervision system (hereinafter referred to as the ministerial system) and the Excel-based ledger established by the provincial natural resources department (hereinafter referred to as the provincial level). The data of the ministerial system are directly reported by the state and county natural resources departments. Direct reporting facilitates the ministerial system to grasp first-hand data, but there are two main problems: First, the ministerial system is oriented to the whole country and solves general problems. It lacks targeted system functions to solve provincial-specific problems, resulting in the ministerial system being usable but imperfect; second, because the data skips the provincial level and goes directly to the ministry, the inconsistent data with the provincial data cannot be verified, resulting in differences between the data of the ministerial system and the ledger data established by the provincial level. The above problems are also common problems encountered by the Department of Natural Resources when building a natural resource development and utilization system that is economical, intensive and efficient. Therefore, it is necessary to invent a data management method and system to manage provincial land use data, verify the authenticity and accuracy of the data reported by states and counties, and improve the functions required by the provincial level.

[0004] To this end, the data management method and system for land conservation and intensive use is one of the measures of the Provincial Department of Natural Resources to further improve the natural resource development and utilization system of conservation, intensive and efficient use. The method and system accurately grasp the land supply and post-supply situation, serve the construction of ecological civilization, promote the conservation and intensive use of provincial land, realize the integration of ministry and province data synchronization, and provide basic information support for the modernization of land use supervision capabilities. Summary of the invention

[0005] In view of the problems existing in the existing data management and system for land conservation and intensive utilization, the present invention is proposed.

[0006] Therefore, the problems to be solved by the present invention are: the ministerial system is oriented to the whole country and solves general problems, but lacks highly targeted system functions to solve provincial-level specific problems, resulting in the ministerial system being usable but imperfect; secondly, because the data skips the provincial level and goes directly to the ministry, the inconsistencies with the provincial data cannot be verified, resulting in differences between the data in the ministerial system and the ledger data established by the province itself.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, an embodiment of the present invention provides a data management method for land conservation and intensive utilization, which comprises the following steps:

[0009] Obtain multi-source heterogeneous land supply data and obtain a land resources database;

[0010] Establish a dynamically updated database for unallocated and idle land that has not been completely disposed of;

[0011] Organize and manage land-related databases and redline boundary data to build a map database;

[0012] Combine the dynamically updated database, the dynamically updated database and the one-map database to dynamically check and dispose of unallocated and idle land.

[0013] As a preferred solution of the data management method for land conservation and intensive utilization of the present invention, the method for obtaining the land resources database includes:

[0014] The land supply database and the land supply management database are logically integrated to obtain the land and resources database.

[0015] As a preferred solution of the data management method for land conservation and intensive utilization of the present invention, the method for obtaining the land supply database includes:

[0016] Obtain multi-source heterogeneous land supply data, pre-process the multi-source heterogeneous land supply to obtain the land supply base data and build a land supply base database;

[0017] The method for obtaining the land supply management database includes:

[0018] The land supply base database is combined with the remote sensing image data of previous years to conduct base data quality inspection, and the image data involved in the data quality inspection are uniformly inspected and rated according to timeliness, resolution and data quality;

[0019] At the same time, the data offset, overlap and missing data that occur during the quality inspection process are corrected and supplemented. Finally, the data that pass the quality inspection are mapped, symbolized and rated remote images to form a land supply management database.

[0020] As a preferred solution of the data management method for land conservation and intensive utilization of the present invention, the step of data quality inspection includes:

[0021] The quality inspection methods for preliminary collation results include computer automatic inspection, computer-aided inspection and manual inspection, mainly checking the logical consistency, completeness and spatial positioning accuracy of the data.

[0022] As a preferred solution of the data management method for land conservation and intensive utilization described in the present invention, data integration is adopted for the land supply base database and the land supply management database, and according to the data reading permissions granted by the database and referring to the data logic architecture of the data center, the existing database or map service is registered to realize logical integration.

[0023] As a preferred solution of the data management method for land conservation and intensive utilization of the present invention, the dynamically updated database is established by identifying unallocated and idle land through image analysis;

[0024] The dynamically updated database spatially superimposes the land grants and land supplies, and uses GIS to identify inconsistencies between the grants and supplies and classify them.

[0025] As a preferred solution of the data management method for land conservation and intensive utilization of the present invention, the steps of dynamically checking and disposing of unallocated and idle land include:

[0026] Combine a map database with GIS display technology to display the spatial distribution characteristics of batch supply and batch idle land and the land supply and construction status according to the dynamic update of data, and check the batch supply data at the same time.

[0027] In a second aspect, an embodiment of the present invention provides a data management system for land conservation and intensive utilization, which includes a data construction module, a dynamic update database module, a display system module, and a resource directory management module;

[0028] The data building module is responsible for collecting multi-source heterogeneous land supply data, pre-processing the acquired land supply data to form a land supply base database, and logically integrating the land supply base database and the land supply management database to form a land resources database;

[0029] The dynamic update database module establishes and maintains a dynamically updated database for the unsupplied and idle land that has not yet been disposed of;

[0030] The display system module is used to construct a map database to display information such as the location, area, shape, and utilization status of the land parcels;

[0031] The resource catalog management module forms a unified one-picture resource catalog, combines GIS display technology, displays land supply and construction status, and provides spatial query and overlay analysis functions.

[0032] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, it implements any step of the above-mentioned data management method for land conservation and intensive utilization.

[0033] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned data management method for land conservation and intensive utilization is implemented.

[0034] The beneficial effects of the present invention are as follows: through the access to land use approval data, combined with the supply data of the ministerial supervision system, unified management of land approval results, supply results, and unsupplied and idle land generated in the monitoring process is carried out, and a unified monthly and quarterly ledger is formulated according to specific needs, combined with spatial mapping, and access to planning approval, land use red line and other data throughout the life cycle of the land, so as to achieve one-picture management, one-picture display and analysis, and realize efficient management.

[0035] For land supply with missing boundary point coordinates and evaluation project cases that need to be reported, online reporting will be done. At the same time, the provincial database constructed this time is based on the ministerial supervision system, that is, two sets of databases are stored at the provincial level, and the data are cleaned and sorted into the database. The data on the provincial platform is allowed to be supplemented and modified to ensure the integrity and authenticity of the provincial platform data to the greatest extent.

[0036] Through spatial means, combined with the coordinates of the boundary points of the land supply, spatial accuracy control is performed, and spatial conflict detection is first performed on the reported boundary points to ensure to the greatest extent that there is no large conflict between the uploaded land scope and other land parcels, while ensuring the consistency of the batch supply, that is, the land supply scope must be within the approved scope. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0038] Figure 1 Flow chart of the data management method for land conservation and intensive use.

[0039] Figure 2 Framework diagram of data management method for land conservation and intensive utilization. DETAILED DESCRIPTION

[0040] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0041] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0042] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0043] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0044] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0045] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] Example 1

[0047] Reference Figure 1 and Figure 2, which is the first embodiment of the present invention, provides a data management method for land conservation and intensive utilization, comprising the following steps:

[0048] S1. Obtain multi-source heterogeneous land supply data and obtain the land and resources database.

[0049] The method for obtaining the land and resources database includes:

[0050] The land supply database and the land supply management database are logically integrated to obtain the land and resources database.

[0051] The method for obtaining the land supply database includes:

[0052] Obtain multi-source heterogeneous land supply data, pre-process the multi-source heterogeneous land supply to obtain the land supply base data and build a land supply base database;

[0053] Among them, multi-source heterogeneous land supply data include attributes and vector data of land grants, land supply, and land grant-supply relationships. The land grant data is obtained by directly grabbing first-hand approval data from the provincial approval system. On the other hand, based on the newly added land grant-supply relationship data, it is verified whether the corresponding land grant data exists in the database. If there is no corresponding land grant data, the land grant information is supplemented. The land supply and land grant-supply relationship data adopt a ferry mechanism, that is, the data format and data standards required by the original department system are analyzed, and regular data export and regular "automatic capture" of data from the department system are adopted. After the data is regularly exported or captured, the newly added and changed data are found through key field comparison, and the land supply and land grant-supply relationship data are updated;

[0054] Update the data according to the transfer contract, allocation decision and other three types of data. Use tools to compare the full data downloaded from the department system with the full data of the existing system to find out the three types of data: changed, revoked and newly added. After verification, import them into the system. Download the original boundary point data from the department system, verify and process it into shp. If there are any problems, send them to the districts and counties through the supervision platform for verification, modification, confirmation and then report.

[0055] The land supply base refers to the amount of land used for facility construction in counties and cities across the province at the current time, as well as the location, use, and land planning and utilization conditions of the land;

[0056] The method for obtaining the land supply management database includes:

[0057] The land supply base database is combined with the remote sensing image data of previous years to conduct base data quality inspection, and the image data involved in the data quality inspection are uniformly inspected and rated according to timeliness, resolution and data quality;

[0058] At the same time, the data offset, overlap and missing data that appeared during the quality inspection process are corrected and supplemented. Finally, the data that passed the quality inspection are mapped, symbolized and rated to form a land supply management database.

[0059] The revision of the land supply management database includes: quality inspection of all types of data to be stored in the database. Data that pass the inspection can be directly stored in the database. For data that fail the quality inspection, specific problems should be recorded, and modifications and processing should be made. Only after passing the inspection again can it be stored in the database. A unified land supply spatial vector database for the whole province will be built. Before storage, according to the established database standards and database design, data will be checked from the specific data element stratification, naming method, attribute structure, specified terminology and spatial scope to ensure that the data in the database meets the requirements of database construction. Because the collected and screened land supply data is rich in content, diverse in variety and huge in data volume, the preliminary results of the land supply data collation are the collection of "ministerial land market The stock data of the "Dynamic Monitoring and Supervision System" is vectorized and mapped, and the missing statistical data attributes are summarized, and the problems with the data are summarized. At this stage, it is necessary to verify the correctness of the attributes of the relevant data, the integrity of the vector files, the accuracy of the spatial position, and the authority, and to review the rationality of the formulated database construction plan; check the data cleaning process and results, verify the data attribute information, and check whether the key fields have abnormal values; verify the correctness of the generated vector data graphics; check the vectorized data based on the basic graphic topology problems, including graphic errors, graphic overlap, and land duplication; finally, classify the spatial and non-spatial data according to the data attributes, and sort out the source data of various types of data. The main inspection contents are as follows:

[0060] (1) Duplicate data entry: The same plot of land may be entered multiple times, resulting in self-intersection and self-overlapping problems after the data is converted into a map.

[0061] (2) Problem of mixed use of coordinate systems: Due to the fact that the 1980 Xi'an coordinate system and the 2000 National Geodetic Coordinate System were used simultaneously during the data production cycle, some district and county approval maps were not migrated to the 2000 National Geodetic Coordinate System in a timely manner, and some district and county staff mixed coordinate systems when entering data, resulting in the coordinate system information recorded in the system database being inconsistent with the actual data.

[0062] (3) Gross errors in data entry: When entering data, errors such as incorrect coordinate numbers, missing coordinate numbers, inverted XY coordinate input, and incorrect input of coordinate values ​​of individual points can cause the data to deviate from the correct position of the map or have strange shapes.

[0063] (4) Geometric topological problems between data: The coordinate values ​​of the same location point are often overlapped or have small gaps between the spots due to problems such as coordinate system conversion, lack of connection between the post-data and the pre-data, inconsistent number of decimal places, and incorrect order of entering boundary points.

[0064] (5) Data rule entry errors: For hollowed-out (holes, internal islands) plots, the plot numbers were not marked and distinguished according to the data specifications, resulting in errors in the geometric inclusion relationships of the plots automatically generated by the program.

[0065] (6) Data attribute errors: The data in the database have attribute errors such as inconsistent standards for entering map sheet numbers and incorrect land use.

[0066] (7) The project number coding rules are not unified in various states and counties. Only the local state or county is unique. After the province is sorted and summarized, there is a problem that some project numbers are repeated and not unique.

[0067] The steps for data quality inspection include:

[0068] The quality inspection methods for preliminary collation results are computer automatic inspection, computer-assisted inspection and manual inspection, mainly for the logical consistency, completeness and spatial positioning accuracy of the data;

[0069] The data logic consistency check is mainly from the perspective of concepts, value ranges, formats, topology and edges. Among them, topological consistency errors are the most common and difficult to modify. Various verification methods such as computer software, GIS software and manual inspection are used. The data integrity check is mainly to check whether there is redundancy or missing non-spatial table data and spatial data. It is manually checked with GIS software and the inspection results are recorded. The spatial positioning accuracy of the data is mainly involved in the conversion of various formats of data during the data integration process. The conversion accuracy problem will inevitably occur, resulting in the loss of data space entities, position offset and missing entity attribute content. For these problems, it is necessary to use relevant geographic information software or thematic system software to view and compare, and modify them according to the specific situation.

[0070] Establish a land and resources database: Dynamic monitoring and supervision of the land market are mainly based on office-based tabular data, including land supply project data, approval project data, reserve plot data, idle land monitoring and supervision data, etc. The data is stored in a relational database. The current data is a one-time copy of the stock database (dmp format), which needs to be verified and cleaned, and the land parcel scope needs to be mapped and symbolized. At present, the land approval data mainly comes from the administrative approval office. The stock data is provided at one time, including approval results information and approval document number files. In the later stage, it will be provided through the sharing of the national land space planning information platform. Basic base map data including administrative divisions and remote sensing base maps, as well as planning data such as permanent basic farmland and ecological red lines are provided by the national land space planning information platform in a shared manner and are directly used in the form of service interfaces.

[0071] S2. Establish a dynamically updated database for unallocated and idle land that has not been completely disposed of.

[0072] A data integration approach is adopted for the land supply database and the land supply management database. Based on the data reading permissions granted by the database and referring to the data logic architecture of the data center, the existing database or map services are registered to achieve logical integration.

[0073] The dynamically updated database is established by identifying unallocated and idle land through image analysis;

[0074] Among them, the dynamic update database spatially superimposes the land approval and land supply, and uses GIS to find out the inconsistencies between the approval and supply, and classify them. If the land supply exceeds the scope of the land approval, it will be preliminarily determined as use without approval (illegal use of land). The land supply within the scope of the land approval is less than the land approval, or there is no land supply at all, it is judged as suspected approval but not supply. Combined with the supervision of the commencement and completion of the land supply, the suspected idleness generated is subject to internal and external judgment and certification, and finally disposed of, to form a dynamic update database of land approval and idleness.

[0075] Establish a dynamically updated database: The system mainly displays the distribution of batch supply and batch idle space in different areas from the two dimensions of administrative districts and parks, and needs to calculate part of the land supply (digestion situation) within the park. It is necessary to ensure that the boundaries of administrative districts and parks are accurate and maintainable, and sort out and manage the administrative districts and park scopes to facilitate replacement when changes occur later.

[0076] like Figure 2 As shown:

[0077] (I) Batch supply vector update: Batch supply vector update mainly includes incremental update, stock deletion (cancellation), and stock replacement; all of which require quality inspection, import, dynamic processing and other steps, including:

[0078] (1) Quality inspection: The first and most important step in the update process is to perform quality inspection on the updated vectors. Only compliant vectors are allowed to be imported. The quality inspection items are as follows:

[0079]

[0080] (2) Batch import: import the vectors that pass the quality inspection, and export the corresponding log records for the non-compliant ones. The graph shows the reasons for the non-compliance. For some non-compliant data, manual intervention can be used to allow some special data to be entered into the database (such as some actual conflicting data). The total amount of imported data and the list of non-compliant data are returned.

[0081] (3) Associated update: During the import process, the land supply vectors that belong to the batch but not digested need to be associated with the batch idle base to be judged and verified. After confirmation, the corresponding batch but not digested vector map spots are spatially divided (vectors are subtracted, and the batch but not digested area is reduced). The land supply is revoked. If it belongs to the batch idle base, the corresponding batch but not digested vector map spots are spatially merged (vectors are added, and the batch but not digested area is enlarged).

[0082] (II) Vector push verification

[0083] During the import quality inspection, non-compliant abnormal vectors can be directly pushed to cities, counties and districts for verification and supplementary reporting, and the city, county and districts can be provided with the function of exporting some verified vectors. After verification, if supplementary reporting is required, it will be reported. The reporting process can only be submitted after quality inspection in accordance with the warehousing quality inspection method, and will be put into the warehouse after review and compliance.

[0084] (III) Vector Supplementary Report

[0085] For missing vectors, they will be regularly pushed to cities, counties and districts for supplementary reporting through vector management. The reporting process can only be submitted after quality inspection according to the warehouse quality inspection method, and will be put into the warehouse after review and compliance;

[0086] If it is not available, you can draw the approximate range on the map with reference to the image base map, or make a dot to indicate the supplementary report. Special instructions are required (the approximate reporting area does not participate in dynamic calculation, that is, it does not participate in dynamic processing batch idleness)

[0087] (IV) Vector calculation within the park

[0088] During the above-mentioned warehousing and supplementary reporting and recording process, calculations need to be made based on the scope of the park, that is, spatial superposition is made based on the vector scope of the warehousing and the park, and the area and graphics within the scope of the park that the current vector belongs to are calculated. If the current vector also belongs to the batch idle base, then the calculated area can also correspond to the digestion within the park.

[0089] S3. Organize and manage land-related databases and red line boundary data to build a map database.

[0090] Multi-source data such as land approval, land supply, land approved but not supplied, idle land, image data, ecological protection red lines, urban development boundaries, cultivated land protection target boundaries, and permanent basic farmland boundaries are organized and managed in a scientific and orderly manner to form a graph database with core land supply data and related auxiliary data that are spatially layered, temporally phased, geographically zoned, and logically related in business.

[0091] A map database collects, acquires and produces multi-source data such as batch supply databases, image databases, ecological protection red lines, urban development boundaries, farmland protection target boundaries, and permanent basic farmland boundary data, and organizes and manages them in a scientific and orderly manner to form a map database in which core land supply data and related auxiliary data are spatially layered, temporally phased, geographically zoned, and logically related in business.

[0092] The "one map for batch supply" organizes and manages multi-source data such as the batch supply database, image database, ecological protection red line, urban development boundary, farmland protection target boundary, and permanent basic farmland boundary data that are collected, acquired, and produced, to form a "one map" display function that can reflect the location, area, shape, utilization status, and whether it is idle, etc. of the land parcels.

[0093] Establish a map database based on the consistency of ministry and provincial data, the coordinates of new and existing land parcels, the data management, the association of maps, the consistency of maps, and the batch supply of maps. Figure 1 It unifies the data from multiple sources, such as national land space planning, land use status, land approval, land supply, land approved but not supplied, idle land, remote sensing, geographic information, etc., to form a map database with core land supply data and related auxiliary data that are spatially layered, temporally divided, geographically divided, and logically related in business.

[0094] A dynamic "one map" is formed, and search queries can be performed through administrative districts, parks, presence or absence of vectors, approval numbers or electronic supervision number keywords, and the query results are displayed in a list. Since the focus here is on managing vectors, only important attribute information is displayed (detailed display); each query result can be clicked on to view it on the map, and all versions of the current vector (original vector, supplemented vector) can be viewed; the query results can be exported as vectors in the shp file format, and no export will be made if there is no vector (i.e., attributes are not exported separately here); the number of maps is counted: the number of maps and the proportion of maps within the statistical area of ​​administrative districts and parks are displayed in charts, and the export of statistical results is supported; according to the vectors, the area of ​​batch supply and batch idleness within the statistical area of ​​administrative districts and parks is displayed in charts, and the export of statistical results is supported.

[0095] S4. Combine the dynamic update database, the dynamic update database and the one-map database to dynamically check and dispose of unallocated and idle land.

[0096] The steps for dynamic verification and disposal of unallocated and idle land include:

[0097] A unified one-map resource directory is formed for the symbolized original land grant, land grant vector, original land supply, land supply vector, land grant but not supply, idle land, and remote sensing image maps, vector maps, ecological protection red lines, urban development boundaries, cultivated land protection target boundaries, permanent basic farmland boundaries and other data. The one-map database is combined with GIS display technology to display the spatial distribution characteristics of grant supply and grant idle land and the land supply construction status according to the dynamic update of data. At the same time, the status of grant supply data is checked, basic map operation browsing is provided, and specific grant supply map patches are located. At the same time, spatial queries are performed within a certain range or imported range, and specific patch information is queried and displayed, as well as overlay analysis functions;

[0098] Identify the approved idle land, combine with the dynamically updated database, formulate the spatial base based on the spatial vector range and combined with the element attributes; standardize the corresponding processes such as identification, disposal and supervision; record the disposal of the approved land, such as whether the approved but not supplied land is included in the net land reserve, whether the idle land has paid the idle penalty, whether it has been recovered, etc., and track the process, realize the mobile terminal online field verification, and facilitate on-site monitoring. The system uses unified mobile verification task management to allocate field verification tasks according to different business types and administrative regions. Field verification business personnel receive tasks online through mobile terminals, collect evidence materials, and connect to some verification tasks of the ministerial monitoring system for specific connection. There are mainly two ways:

[0099] 1) Conduct mobile verification of suspected idle land generated during the monitoring process, and report the verification location, on-site evidence, scanned copies and other relevant evidence materials;

[0100] 2) Regularly import the verification tasks issued by the department-level monitoring system, conduct task docking and import, and report the verification location, actual sampling, scanned copies and other materials.

[0101] This embodiment also includes multi-channel dynamic supervision: the plot map display, that is, the coordinates of the boundary points of the land approval and supply data are graphically displayed, and the land supply data is displayed in a way of "what you see is what you get, a picture is worth a thousand words". Users can not only control a certain area from a macro perspective and conduct an overall analysis from a sky perspective, but also quickly locate a single plot of land, query the specific information of interest, associate the approval data at the source and the land supply data at the end of the source, and superimpose the scope of the construction land approval document and the scope of the supply plot on the physical map (such as remote sensing images), so as to realize the transformation from "focusing on approval and neglecting supervision" to "full-process supervision of each plot of land", and from "extensive" management to "fine" management, strengthen the "full life cycle of land" management from the root, and improve the land management mechanism;

[0102] Scientifically and orderly organize and manage multi-source data such as national land space planning, land use status, land approval, land supply, land approved but not supplied, idle land, remote sensing, geographic information, etc., to form a data base of core land supply data and related auxiliary data that are spatially layered, temporally phased, geographically zoned, and logically related in business. Establish a "one-picture" display function that can reflect the location, area, shape, utilization status, and whether it is idle of the land parcels. At the same time, realize online supervision at the provincial, municipal, and county levels through the natural resources special network. If necessary, on-site verification of special plots can be carried out to realize comprehensive supervision through multiple channels of "observing from the sky, managing online, and checking on the ground"

[0103] In summary, by connecting to the land use approval data and combining it with the data supplied by the ministerial supervision system, we can uniformly manage the land approval results, supply results, and unsupplied and idle land generated in the monitoring process. We can formulate a unified monthly and quarterly ledger based on specific needs, combine it with spatial mapping, and connect to the planning approval, land use red line and other data throughout the life cycle of the land, so as to achieve one-picture management, one-picture display and analysis, and realize efficient management.

[0104] For land supply with missing boundary point coordinates and evaluation project cases that need to be reported, online reporting will be done. At the same time, the provincial database constructed this time is based on the ministerial supervision system, that is, two sets of databases are stored at the provincial level, and the data are cleaned and sorted into the database. The data on the provincial platform is allowed to be supplemented and modified to ensure the integrity and authenticity of the provincial platform data to the greatest extent.

[0105] Through spatial means, combined with the coordinates of the boundary points of the land supply, spatial accuracy control is performed, and spatial conflict detection is first performed on the reported boundary points to ensure to the greatest extent that there is no large conflict between the uploaded land scope and other land parcels, while ensuring the consistency of the batch supply, that is, the land supply scope must be within the approved scope.

[0106] Example 2

[0107] On the basis of the first embodiment, this embodiment further provides a data management system for land conservation and intensive utilization, including a data building module, a dynamic update database module, a display system module, and a resource directory management module;

[0108] The data building module is responsible for collecting multi-source heterogeneous land supply data, pre-processing the acquired land supply data to form a land supply base database, and logically integrating the land supply base database and the land supply management database to form a land resources database;

[0109] The dynamic update database module establishes and maintains a dynamically updated database for the unsupplied and idle land that has not yet been disposed of;

[0110] The display system module is used to construct a map database to display information such as the location, area, shape, and utilization status of the land parcels;

[0111] The resource catalog management module forms a unified one-picture resource catalog, combines GIS display technology, displays land supply and construction status, and provides spatial query and overlay analysis functions.

[0112] This embodiment also provides a computer device, which is suitable for the data management method for saving and intensive use of land, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the data management method for saving and intensive use of land as proposed in the above embodiment.

[0113] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used 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 the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0114] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the data management method for realizing the land conservation and intensive utilization as proposed in the above embodiment is implemented.

[0115] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A data management method for land conservation and intensive utilization, characterized in that: The following steps are included: Obtain multi-source heterogeneous land supply data and obtain a land resources database; Establish a dynamically updated database for unallocated and idle land that has not been completely disposed of; Organize and manage land-related databases and redline boundary data to build a map database; Combine the dynamically updated database, the dynamically updated database and the one-map database to dynamically check and dispose of unallocated and idle land.

2. The data management method for land conservation and intensive utilization according to claim 1, characterized in that: The method for obtaining the land and resources database includes: The land supply database and the land supply management database are logically integrated to obtain the land and resources database.

3. The data management method for land conservation and intensive utilization according to claim 2, characterized in that: The method for obtaining the land supply database includes: Obtain multi-source heterogeneous land supply data, pre-process the multi-source heterogeneous land supply to obtain the land supply base data and build a land supply base database; The method for obtaining the land supply management database includes: The land supply base database is combined with the remote sensing image data of previous years to conduct base data quality inspection, and the image data involved in the data quality inspection are uniformly inspected and rated according to timeliness, resolution and data quality; At the same time, the data offset, overlap and missing data that occur during the quality inspection process are corrected and supplemented. Finally, the data that pass the quality inspection are mapped, symbolized and rated remote images to form a land supply management database.

4. The data management method for land conservation and intensive utilization according to claim 3 is characterized in that: The steps for data quality inspection include: The quality inspection methods for preliminary collation results include computer automatic inspection, computer-aided inspection and manual inspection, mainly checking the logical consistency, completeness and spatial positioning accuracy of the data.

5. The data management method for land conservation and intensive utilization according to claim 4, characterized in that: A data integration approach is adopted for the land supply database and the land supply management database. Based on the data reading permissions granted by the database and referring to the data logic architecture of the data center, the existing database or map services are registered to achieve logical integration.

6. The data management method for land conservation and intensive utilization according to claim 5, characterized in that: The dynamically updated database is established by identifying unallocated and idle land through image analysis; The dynamically updated database spatially superimposes the land grants and land supplies, and uses GIS to identify inconsistencies between the grants and supplies and classify them.

7. The data management method for land conservation and intensive utilization according to claim 6, characterized in that: The steps for dynamic verification and disposal of unallocated and idle land include: Combine a map database with GIS display technology to display the spatial distribution characteristics of batch supply and batch idle land and the land supply and construction status according to the dynamic update of data, and check the batch supply data at the same time.

8. A data management system for land conservation and intensive utilization, based on the data management method for land conservation and intensive utilization according to any one of claims 1 to 7, characterized in that: It includes data building module, dynamic database update module, display system module, and resource directory management module; The data building module is responsible for collecting multi-source heterogeneous land supply data, pre-processing the acquired land supply data to form a land supply base database, and logically integrating the land supply base database and the land supply management database to form a land resources database; The dynamic update database module establishes and maintains a dynamically updated database for the unsupplied and idle land that has not yet been disposed of; The display system module is used to construct a map database to display the location, area, shape, utilization status and other information of the land parcels; The resource catalog management module forms a unified one-picture resource catalog, combines GIS display technology, displays land supply and construction status, and provides spatial query and overlay analysis functions.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the data management method for land conservation and intensive utilization as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the data management method for land conservation and intensive utilization as described in any one of claims 1 to 7 are implemented.

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