Data management method and system for stock land after batch

Abstract

The invention provides an after-batch stock land data management method and system. The method comprises the steps of designing an after-batch stock land management database structure, and constructing a land supply data graph layer, a batch land data graph layer, a batch land data graph layer, a batch unsupplied land data graph layer, an overdue working land data graph layer and an idle land data graph layer; collecting multi-source data, performing preprocessing, problem treatment and quality inspection, and generating standardized land supply data and land batch data; constructing a land supply and approval database, and comparing and updating the land supply and approval database with data of a natural resource department system; generating a batch of unsupplied land, an overdue working land and an idle land data graph layer through overlay analysis, and constructing a batch stock land database; automatically updating graph and attribute data based on data such as territorial change investigation and the like; the functions of automatic reminding, land use unit interaction and space query are executed; and carrying out visual rendering and display on the database data, and superposing and displaying the batch stock land and planning and remote sensing image data. According to the invention, the intensive land utilization supervision efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of land resource information management, and more specifically, to a data management method and system for post-approval stock land. Background Art

[0002] In the field of land management, the accelerated pace of urbanization has placed higher demands on the efficient utilization and precise management of land resources. As a crucial component of land management, the accuracy and efficiency of data management for approved land reserves directly impact the rational allocation and sustainable utilization of land resources. Approved land reserves refer to government-approved legal construction land. After approval, these lands may remain unsupplied, construction may have expired, or they may remain idle, necessitating effective management and monitoring.

[0003] The existing post-approval stock land data management system is unable to effectively manage older data. In addition, the land supply data and land approval data entered into the early system are incomplete or erroneous, and differ from the data actually managed by local governments. At the same time, the system's functional design fails to fully meet the specific needs of local governments in land management. For example, the vector data layers exported by the system cannot be visualized, and the post-approval stock land data is difficult to overlay and analyze with various planning, current status and other data, and it is impossible to customize the output of charts, etc. This has greatly restricted the efficient management and utilization of post-approval stock land by local governments.

[0004] In the process of implementing the embodiments of the present invention, there are at least the following problems or defects in the existing technology: First, the data coverage is limited, and it is impossible to comprehensively manage the historical data of the post-approval stock land; second, the data accuracy and completeness are insufficient, resulting in differences with the actual local data; third, the system function is single and cannot meet the diverse needs of local governments in land management, affecting the efficiency and accuracy of the post-approval stock land management. Summary of the Invention

[0005] The present invention provides a data management method and system for post-grant stock land.

[0006] In a first aspect of the present invention, a method for managing data of post-grant stock land is provided, comprising:

[0007] Construct data layers for land supply, land allocation, approved but unallocated land, overdue construction land, and idle land;

[0008] Collect data on construction land projects that have been supplied, construction land projects that have been approved, land change survey data, land acquisition data, land reserve data, real estate registration data, three-zone and three-line demarcation results data, land space planning data, urban control detailed planning data, and remote sensing image data;

[0009] Based on the data of construction land projects that have been supplied and the data of construction land projects that have been approved, data processing is performed on the land supply data layer and the land approval data layer to generate standardized land supply data and land approval data;

[0010] Build a land supply and approval database based on standardized land supply data and land approval data;

[0011] Overlay and analyze the land supply data layer and the land approval data layer in the land supply and approval database to generate data layers of approved but unsupplied land, data layers of overdue construction land, and data layers of idle land, and build a post-approval land stock database;

[0012] Based on land change survey data, land acquisition data and land reserve data, the graphic data and attribute data of the approved land database are automatically updated according to changes in land supply status, land use approval status and development and construction status;

[0013] The data of the post-approval stock land database is visually rendered and displayed, and the post-approval stock land data is superimposed with the national land space planning data, urban control detailed planning data and remote sensing image data.

[0014] Furthermore, based on the supplied construction land project data and the approved construction land project data, data processing is performed on the land supply data layer and the land approval data layer to generate standardized land supply data and land approval data, including:

[0015] Supplement the plot coordinate information by matching the real estate registration data;

[0016] Spatially match the remote sensing image data with the land supply data layer and the land batch data layer to locate the land data with offset graphic positions and correct the coordinates;

[0017] Perform topological analysis on the land supply data layer and the land batch data layer, clear the revoked project data, update the changed project data and delete duplicate data;

[0018] Repair self-intersecting graphics, correct narrow and long graphics, and split composite feature graphics to eliminate graphic topology errors;

[0019] Verify land acquisition data and land change survey data, and correct missing or incorrect attribute fields in land supply data and land allocation data;

[0020] Compare the graphic area with the attribute area and re-vectorize the plots where the difference exceeds a threshold.

[0021] Furthermore, the plot coordinate information is supplemented by matching the real estate registration data, including:

[0022] Extract the coordinates of boundary points from the plot map, planning and design conditions map, land survey and demarcation map or approval scope red line map, and convert them into the geodetic coordinate system through GIS technology.

[0023] Furthermore, the data layer of unallocated land is generated as follows:

[0024] Superimpose the land approval data layer and the land supply data layer, extract the data of the plots that have been approved but not supplied, and fill in the attribute fields of the land that has been approved but not supplied; generate the data layer of land that has been overdue for construction by extracting the data of the plots that have been overdue for construction for less than 1 year in the land supply data layer, and fill in the attribute fields of the overdue construction; generate the idle land data layer by extracting the data of the plots that have been overdue for construction for more than 1 year and have not been started in the land supply data layer, and fill in the attribute fields of the idle land.

[0025] Furthermore, the graphical data of the automatically updated post-approval land stock database includes:

[0026] Generate the graphic data of the land that has been allocated but not allocated based on the land allocation data layer by deducting the land allocation data layer;

[0027] Extract the data of overdue construction that has started for less than 1 year from the land supply data layer to generate graphic data of overdue construction land;

[0028] Extract the data of idle land graphic data from the land supply data layer for projects that have been delayed for more than one year and have not been recognized as having started construction.

[0029] Furthermore, the method further comprises:

[0030] A reminder message will be sent three months before the agreed start, completion or idle period, and a start-up performance notice or completion performance notice will be automatically generated; the land-user unit interaction function includes: receiving on-site photos or explanatory documents uploaded by the land-user unit through a link, and linking them to the corresponding project data.

[0031] Furthermore, visual rendering includes:

[0032] According to the preset color scheme and transparency settings, the post-approval stock land data is superimposed and displayed with the national land space planning data, urban control detailed planning data and remote sensing image data.

[0033] Furthermore, it also includes:

[0034] The multi-level statistical analysis module is used to perform conditional screening on post-approval land inventory data and generate statistical charts or customized analysis reports.

[0035] Furthermore, conditional screening includes:

[0036] Filter by the area of ​​occupied permanent basic farmland, idle land in the base period or disposal method fields.

[0037] In a second aspect of the present invention, a data management system for post-grant stock land is provided, comprising:

[0038] Database construction module, used to build land supply and approval database and post-approval land inventory database;

[0039] Automatic update module, used to automatically update graphic data and attribute data according to changes in land supply status, land use approval status, and development and construction status;

[0040] Business auxiliary module, used to perform automatic reminder functions, land use unit interaction functions, and spatial query and overlay analysis functions;

[0041] The visualization module is used to visualize and display post-approval land inventory data; the multi-level statistical analysis module is used to generate statistical charts or customized analysis reports.

[0042] The above embodiments of the present invention have at least the following beneficial effects:

[0043] 1. By constructing a multi-level data layer system covering land supply, land approval, land approved but not supplied, overdue construction and idle land, and adopting multi-source data fusion and standardization processing technology, the problems of incomplete data in the existing system and inconsistent data between ministries and provinces have been solved, and comprehensive coverage and unified management of post-approval stock land data have been achieved, providing accurate data support for intensive land use.

[0044] 2. By overlaying and analyzing land supply and approval data, and combining multi-dimensional information such as planning and remote sensing images, data layers of unsupplied, overdue construction and idle land are automatically generated. At the same time, automatic updates of graphics and attributes are achieved based on dynamic data such as land change surveys, which improves the real-time and accuracy of stock land monitoring and solves the shortcomings of low efficiency and data lag of traditional manual statistics.

[0045] 3. By integrating automatic reminders, land-using unit interactions, and spatial query and analysis functions, the system realizes full-process supervision from land supply to development and construction. It can proactively warn of risks of overdue commencement and idleness, and supports ownership association and visual display, thereby improving the supervision efficiency and scientific decision-making of local land management departments and promoting the efficient and intensive use of land. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily apparent by reading the following detailed description with reference to the accompanying drawings, in which several embodiments of the present invention are shown by way of example and not limitation, in which:

[0047] Figure 1 A schematic flow chart of a method for managing post-approval land inventory data provided by one embodiment of the present invention;

[0048] Figure 2 A schematic diagram of the structure of a data management system for post-approval stock land provided by one embodiment of the present invention;

[0049] Figure 3 The figure schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided solely to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. Rather, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0051] Those skilled in the art will appreciate that the embodiments of the present invention may be implemented as a system, apparatus, device, method, or computer program product. Therefore, the present invention may be implemented in the following forms: entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software.

[0052] It should be noted that any number of elements in the drawings is for illustration only and not for limitation, and any naming is only for distinction and does not have any limiting meaning.

[0053] Reference below Figure 1 , Figure 1 This is a flow chart of a method for managing land inventory after approval according to an embodiment of the present invention. Figure 1 As shown, a data management method for post-grant inventory land includes:

[0054] S1. Design the database structure for post-approval land stock management, including constructing data layers for land supply, land approval, approved but unsupplied land, overdue construction land, and idle land.

[0055] S2. Collect data on construction land projects that have been supplied, construction land projects that have been approved, land change survey data, land acquisition data, land reserve data, real estate registration data, three-zone and three-line demarcation results data, land space planning data, urban control detailed planning data, and remote sensing image data;

[0056] S3. Based on the data of supplied construction land projects and the data of approved construction land projects, process the land supply data layer and the land approval data layer to generate standardized land supply data and land approval data;

[0057] S4. Build a land supply and approval database based on standardized land supply and approval data;

[0058] S5. Compare and analyze the standardized land supply and land approval data with the data from the Ministry of Natural Resources' land market dynamic monitoring and supervision system, and update the data in the Ministry of Natural Resources' land market dynamic monitoring and supervision system;

[0059] S6. By overlaying and analyzing the land supply and approval data layers and land approval data layers in the land supply and approval database, and combining the three-zone and three-line demarcation results data, national land space planning data, urban control detailed planning data, and remote sensing image data, generate data layers for approved but unsupplied land, data layers for overdue construction land, and data layers for idle land, and construct a post-approval land inventory database;

[0060] S7. Based on land change survey data, land acquisition data, and land reserve data, automatically update the graphic data and attribute data in the post-approval stock land database according to changes in land supply status, land use approval status, and development and construction status;

[0061] S8. Execute automatic reminder functions, land use unit interaction functions, and spatial query and overlay analysis functions. The land use unit interaction function uses real estate registration data to link project ownership information;

[0062] S8. Visualize and display the data in the post-approval stock land database, including overlaying the post-approval stock land data with national land space planning data, urban control detailed planning data, and remote sensing image data.

[0063] It should be noted that the land supply data layer refers to a collection of construction land parcels that have completed land supply procedures through transfer, allocation, and other methods. It contains attribute information such as parcel coordinates, area, use, and land supply time. This data is derived from the digitization of paper archives such as land supply approval documents and land transfer contracts from local natural resources bureaus. GIS vectorization tools are used to convert the redline boundaries in paper drawings into spatial vector graphics. The land approval data layer is a collection of construction land parcels approved by the State Council or provincial governments for agricultural land conversion and expropriation. It contains key fields such as approval number, approval time, and land use nature. This data is exported through e-government systems such as land use pre-examination and agricultural land conversion approval, and then vectorized using the redline maps in the approval documents. The land approval but unsupplied data layer is created using spatial overlay analysis technology. The land approval data layer is geometrically aligned with the land supply data layer to screen out parcels that have received land use approval but have not completed land supply procedures for more than two years. Attribute fields such as the reason for non-supplication and the validity period of the approval are automatically populated. The data layer for overdue construction land is generated by setting time threshold rules. The contractually agreed-upon start date field is extracted from the land supply data attribute table. The difference between the current system date and the agreed-upon date is used to calculate the number of days overdue, and plots that are less than one year overdue are automatically marked. The idle land data layer combines multi-dimensional data judgment. On the one hand, remote sensing image interpretation technology is used to identify undeveloped areas in satellite imagery. On the other hand, it links the start confirmation status and time information in the land supply data. It comprehensively selects plots that have not started construction for more than one year or have started but stopped for more than one year. Management information such as the reason for idleness and the progress of disposal is recorded.

[0064] During data collection, data on supplied and approved construction land is synchronized daily through a data interface connected to the Ministry of Natural Resources' Land Market Dynamic Monitoring and Supervision System, capturing key fields such as project number, geographic location, and area. Land change survey data is derived from the Ministry of Natural Resources' annual land survey results database and accessed in real time through a standardized data service interface. This data contains dynamic information such as the current land classification and property rights of land parcels. Real estate registration data, including building surface data with spatial coordinates, is exported from local real estate registration platforms and stored in a spatial database after data cleansing to supplement the spatial information of land parcels with missing coordinates. Data on the three zones and three lines is obtained through the "One Map" system for national land spatial planning, with real-time access to spatial boundary data for constraint layers such as ecological protection red lines and permanent basic farmland. Remote sensing imagery data is connected to the Natural Resources Satellite Remote Sensing Cloud Service Platform, with quarterly updates of the two-meter resolution image basemap. Coordinate correction is performed to ensure spatial consistency with the vector data.

[0065] During implementation, the spatial database first establishes a storage structure for core layers such as land supply and land approval. Geometry fields are defined to store polygon coordinates, and database constraints are set for attribute fields such as land supply number and contract date. During data preprocessing, plots with missing coordinates are matched against building surface spatial information in real estate registration data. Spatial join query technology is used to reverse-fill the coordinate information of real estate projects into the land supply data. When constructing the land supply and approval database, a bidirectional synchronization mechanism for ministry-provincial data is established. Coordinates and attribute information for land supply projects in the local database are compared daily with the Ministry of Natural Resources system. Conflicting data records are manually reviewed to ensure data consistency between the ministry and provinces. When overlay analysis generates land that has been approved but not yet approved, spatial difference calculation techniques are used to deduct plots from the land approval data layer that overlap with the land supply layer. The remaining non-overlapping portions are automatically classified as land that has been approved but not yet approved, while inheriting the attribute information of the original land approval data and adding a specific status identifier. The identification of overdue construction land and idle land is achieved through the time rule engine. The system automatically calculates the number of days between the start date and completion date agreed in the land supply contract and the current date. When the overdue date is less than one year, it is marked as overdue construction status. If the overdue date is more than one year and the construction commencement certificate materials are not uploaded, it will be upgraded to idle land status, triggering the disposal process.

[0066] The database's automatic update function leverages a dynamic monitoring mechanism based on land change survey data. When a parcel's current land use changes from agricultural to construction land, it automatically retrieves the corresponding item in the land allocation database, updates its supply status field, and triggers a spatial graphical correction. The visualization uses a layered overlay display technique, rendering unallocated land parcels as semi-transparent red polygons, plots overdue for construction as flashing yellow icons, and idle land with a red diagonal fill. This is overlaid with the latest remote sensing imagery and control line layers from the national land spatial planning, creating a multi-dimensional spatial analysis view. The reminder function uses a scheduled task to scan the database's time fields and automatically generates and sends a reminder message to the user's contact three months before the agreed start date. It also interacts with the business system to generate a standard-formatted commencement notice, which supports online receipt and feedback. The user interaction function provides a dedicated data upload channel, allowing users to submit supporting materials such as construction site photos and progress reports through an encrypted link. The system automatically associates the files with the corresponding parcel data for online verification by regulatory authorities.

[0067] Specifically, the land supply data layer contains detailed information on construction land projects already supplied, such as plot coordinates, area, and usage. This data can be obtained by collecting historical data on construction land supplied, approval documents, and land supply approval materials from local information management. The land approval data layer records relevant information on approved construction land projects, including approval documents, redline maps, and parcel maps. This data is obtained in a similar manner to land supply data, primarily from archival materials maintained by local natural resources management departments. When constructing these layers, data preprocessing is required, such as coordinate conversion, ensuring that all data is unified into a geodetic coordinate system, which can be the 2000 National Geodetic Coordinate System. Furthermore, data issue management is a key step, including addressing issues such as missing data, graphic position offsets, graphic overlaps, graphic topology issues, missing or incorrect attributes, and inconsistent map attributes and areas. These management measures ensure data accuracy and integrity, providing a reliable foundation for subsequent database construction and data analysis.

[0068] Preferably, a variety of technologies and methods can be used in the process of data preprocessing and problem management. For example, when managing data missing problems, the coordinates of boundary points can be extracted from the plot map, planning and design condition drawings, land survey and demarcation map, or approval scope red line map, and converted into the 2000 National Geodetic Coordinate System through GIS technology. For the problem of graphic position offset, remote sensing image data can be used for overlay positioning and correction. When dealing with graphic overlap problems, topological analysis is used to clear revoked project data, update changed project data, or delete duplicate data. These specific operation steps and technical applications not only improve the quality of the data, but also enhance the practicality and reliability of the database.

[0069] Furthermore, the Ministry of Natural Resources' Land Market Dynamic Monitoring and Supervision System is a specialized land market management platform established by the Ministry of Natural Resources. It primarily monitors data from the entire land supply, transaction, development, and utilization process in real time, and enables dynamic regulation of the land market through data integration and analysis. The system collects information on land supply, land approval, and land transactions reported by provinces and cities to form a unified land market database, providing data support for policy formulation, warnings for illegal land use, and market regulation. Its core functions include filing land supply plans, reporting land supply information, supervising contract performance, and investigating and handling idle land. Natural resource management departments at all levels are required to regularly submit local land market data to the system, which then issues warnings for abnormal data (such as overdue land supply and illegal land transfers) using data verification rules and statistical analysis models.

[0070] Standardized local land supply data (such as land transfer contracts) and land approval data (such as agricultural land conversion approval results) are compared with existing data in the Ministry of Natural Resources' system to identify discrepancies (e.g., local land supply that has been provided but not registered in the ministry's system, or discrepancies between the land supply area recorded in the ministry's system and local data). Corrected data is then synchronized to the ministry's system through a data interface or manual review process. This process ensures the integrity and consistency of land market data, preventing blind spots in central supervision caused by late, underreported, or misreported local data. Furthermore, through two-way data verification (local data reported and data fed back to the ministry), data quality is enhanced, providing an accurate basis for macroeconomic decisions such as cross-regional land resource allocation and cross-provincial supervision of idle land. For example, if a city discovered through its local system that a land parcel had a signed transfer contract but did not display the "allocated" status in the ministry's system, a comparison would automatically trigger a data retransmission process to correct the data status in the ministry's system, ensuring a real-time and accurate regulatory view.

[0071] In some embodiments, generating standardized land supply data and land lot data includes:

[0072] S31. Address data missing issues by supplementing plot coordinate information through matching real estate registration data;

[0073] S32. Address the issue of graphic position offset by overlaying the remote sensing image data with the offset data and correcting it;

[0074] S33. Manage overlapping graphs by clearing revoked project data, updating changed project data, or deleting duplicate data through topological analysis.

[0075] S34. Manage graph topology issues, including repairing self-intersecting graphs, correcting narrow and long graphs, and splitting composite element graphs.

[0076] S35. Address missing or incorrect attributes by verifying land acquisition data and land change survey data to correct attribute data;

[0077] S36. Address the issue of inconsistent attribute areas by comparing the graphic area with the attribute area and re-vectorizing it.

[0078] It should be noted that data problem management is a key step in ensuring the accuracy and completeness of post-approval stock land data. This process involves multiple aspects of data processing, including the management of data missing problems, graphic position offset problems, graphic overlap problems, graphic topology problems, attribute missing or incorrect problems, and map-attribute area inconsistencies. These governance measures are intended to solve various problems that may arise during the data collection and collation process to ensure the accuracy and consistency of the data. For example, data missing problem management is achieved by matching real estate registration data to supplement the plot coordinate information, and graphic position offset problem management is achieved by fitting remote sensing image data to locate the offset data and correcting it. These steps are all aimed at improving the accuracy and availability of the data.

[0079] Specifically, each operation in data problem management has clear definitions and methods. For example, addressing missing data involves extracting boundary point coordinates from plot maps, planning and design condition drawings, land survey and demarcation maps, or approved scope redline maps, and converting them to the 2000 National Geodetic Coordinate System using GIS technology. This process requires detailed querying and retrieval of relevant archival materials to ensure accurate coordinate information. Addressing graphic position offsets involves overlaying remote sensing imagery data, comparing land supply and grant data with administrative district boundaries or high-definition imagery, and identifying and correcting offsets. Addressing graphic overlap issues involves topological analysis to clear data from revoked projects, update data from changed projects, or delete duplicate data to ensure data uniqueness and accuracy. Addressing graphic topology issues includes repairing self-intersecting graphics, correcting narrow and long graphics, and splitting composite feature graphics. These operations require detailed inspection and repair using the topology checking tools in GIS software. Addressing missing or incorrect attributes involves verifying land acquisition data and land change survey data to correct attribute data and ensure the accuracy and completeness of attribute information. Addressing inconsistent map-attribute areas involves comparing map areas with attribute areas and re-vectorizing to ensure consistency between map and attribute data.

[0080] When supplementing plot coordinate information, the system automatically identifies records with missing spatial coordinates in land supply or land grant data. This determination is based on null values ​​or illegal coordinate values ​​(e.g., longitude and latitude outside the administrative district) in the coordinate field in the data table. By associating the parcel code or project name in the real estate registration database, the system extracts the coordinates of the corresponding land parcel's boundary points and converts the coordinate system to CGCS2000 to ensure spatial data integrity. For example, if the spatial field for a land supply project is empty, the system searches the real estate registration database for a matching parcel graphic based on its contract number and reverse-fills its coordinate information into the land supply data table. The determination of coordinate offset for spatial fitting correction is based on the analysis of spatial position deviation between remote sensing images and vector data. The system calculates the Euclidean distance between the center point of the vector surface and the center point of the actual plot in the image. When the deviation exceeds the set threshold (such as 10 meters), it is automatically marked as offset data and the affine transformation algorithm is used for batch correction. For example, the red line of a certain industrial park was offset 50 meters to the east due to the misuse of the coordinate system. The system calculates the translation parameters and corrects the spatial position of the entire layer by matching the feature points of the road intersection in the image.

[0081] Furthermore, the system automatically scans the built-in topological rule library (such as surface elements must not overlap and must be closed) to determine the type of data problem: for revoked projects, the project status field in the land supply data is matched according to the list of project cancellation documents provided by the Natural Resources Bureau (such as the "status" field value is "revoked"), and the relevant records are automatically removed; for changed projects, the graphic version number is compared with the last modification time in the attribute table, and the update process is triggered when the versions are inconsistent. For example, if the area of ​​a plot of land is reduced due to planning adjustments, when the system detects that the difference between the graphic area and the attribute area exceeds 5%, it will automatically push it to the business department for review; duplicate data is determined based on records with completely overlapping spatial locations and highly similar attribute fields (such as the same contract number and plot name). The data entries with the latest timestamp are retained after identification through spatial join queries. The determination of graphic topology errors relies on a geometric checking algorithm. Self-intersecting graphics are identified by counting the number of intersections on the face boundary (invalid if greater than zero), and narrow and long graphics are identified by calculating the ratio of the minimum enclosing rectangle width to the area (for example, the width is less than 1 meter and the area is greater than 100 square meters). The system automatically fixes such problems, such as decomposing self-intersecting polygons into multiple legal sub-faces or merging narrow and long faces into adjacent plots.

[0082] Furthermore, if the "Land Acquisition Completion Status" field in the land supply data indicates "Incomplete," but the payment record in the land acquisition system shows full payment of compensation, the system flags this as an attribute error. Alternatively, if the "Current Land Type" in the land supply data indicates "cultivated land," but the land change survey results for that year indicate the land parcel has been changed to "construction land," a data conflict alert is triggered. The map-attribute area consistency process sets a discrepancy threshold (e.g., 5%). When the system detects a deviation between the calculated area and the registered area of ​​a parcel exceeding this threshold, it automatically adds the parcel to an anomaly list and revectorizes the original survey and demarcation map. For example, if the attributed area of ​​a commercial plot is 5,000 square meters, but the calculated area is 4,723 square meters (a 5.54% deviation), the system automatically initiates a work order requiring technicians to re-enter the boundary coordinates until the area error is within the acceptable range. This process, combined with a rule engine and manual review, forms a closed-loop quality control system consisting of "anomaly detection - automatic repair - manual confirmation - data version update." This ensures that the output data conforms to spatial topology specifications and maintains complete and accurate attributes, providing a reliable data foundation for subsequent land inventory management.

[0083] In some embodiments, the supplementary plot coordinate information in S31 includes:

[0084] Extract the coordinates of boundary points from the plot map, planning and design conditions map, land survey and demarcation map or approval scope red line map, and convert them into the 2000 National Geodetic Coordinate System through GIS technology.

[0085] It's important to note that supplementing parcel coordinate information is a crucial step in data problem management, aiming to address the issue of missing coordinate information in land data. This process involves extracting boundary point coordinates from parcel maps, attached drawings of planning and design conditions, land survey and demarcation maps, or redline maps of the approved scope. Using Geographic Information System (GIS) technology, these coordinates are converted to the 2000 National Geodetic Coordinate System to ensure data accuracy and consistency. This step is crucial for improving the geographic information of land data and facilitates subsequent data analysis and management.

[0086] Specifically, supplementing the coordinate information of the plot involves several key concepts and operational steps. Plot maps, planning and design condition drawings, land survey and demarcation maps, and approval scope red line maps are commonly used drawings in land management. They record the detailed information of the plot, including the coordinates of the boundary points. These drawings are usually generated and saved by local natural resources management departments during the project approval process. The coordinates of the boundary points are key data that describe the location of the boundary of the plot. These coordinates can be used to accurately locate the location of the plot. GIS technology is a technology used to collect, store, manage, analyze and display geographic spatial data. It can convert geographic data in different formats into a unified coordinate system, such as the 2000 National Geodetic Coordinate System. This coordinate system is my country's unified geographic coordinate standard and is widely used in various geographic information systems to ensure that geographic data from different data sources can be accurately aligned and superimposed.

[0087] Preferably, the process of supplementing the plot coordinate information can be further refined. First, the coordinates of the boundary points need to be extracted from the relevant archival materials. This step requires detailed query and analysis of the plot map, planning and design conditions drawings and other materials to find the part containing the boundary point coordinates. After extracting the coordinates, use GIS software for vectorization processing to convert the graphic data into a digital format. Next, these coordinates are converted into the 2000 National Geodetic Coordinate System through GIS technology. This process involves a coordinate conversion algorithm to ensure the accurate conversion of coordinates between different coordinate systems. Finally, the converted coordinate data is imported into the post-approval inventory land management database to update the geographic information of the relevant layers. Through these detailed operation steps, the accuracy and completeness of the plot coordinate information can be ensured, providing reliable data support for subsequent land management and analysis.

[0088] In some embodiments, the batch but unsupplied land data layer generated in S6 is specifically:

[0089] Superimpose the land approval data layer and the land supply data layer, extract the data of the plots that have been approved but not supplied, and fill in the attribute fields of the land that has been approved but not supplied; generate the data layer of land that has been overdue for construction by extracting the data of the plots that have been overdue for construction for less than 1 year in the land supply data layer, and fill in the attribute fields of the overdue construction; generate the idle land data layer by extracting the data of the plots that have been overdue for construction for more than 1 year and have not been started in the land supply data layer, and fill in the attribute fields of the idle land.

[0090] It's important to note that generating data layers for approved but unallocated land, overdue construction land, and idle land is a key step in post-approval land inventory data management. These layers are generated based on the land supply and approval data layers in the land supply and approval database. Through overlay analysis and attribute field filling, they accurately identify and record land information in different states. For example, the "Approved but Unallocated Land" data layer records land that has been approved but not yet supplied, the "Overdue Construction Land" data layer records land that has not started construction beyond the due date, and the "Idle Land" data layer records land that has been idle for a long time. The generation of these layers not only helps land management departments understand land use in real time but also provides data support for subsequent land management and decision-making.

[0091] Specifically, generating these layers involves several key concepts and operational steps. The land supply data layer and the land grant data layer are the foundational data sources. The land supply data layer contains detailed information on construction land projects already supplied, such as plot coordinates, area, and usage. The land grant data layer records relevant information on approved construction land projects, such as approval documents, redline maps, and parcel maps. This data can be obtained by collecting historical data on construction land supplied, approval documents, and land supply approval materials from local information management. Overlay analysis is a geographic information system (GIS) technique used to spatially overlay data from multiple layers to identify spatial relationships between them. For example, by overlaying the land grant data layer and the land supply data layer, data on land that has been approved but not yet supplied can be extracted. Attribute field population, based on the extracted data, populates the corresponding attribute fields, such as those for approved but unsold land, overdue construction, and idle land. The configuration of these attribute fields requires customization based on local management needs to ensure data integrity and practicality.

[0092] Preferably, the process of generating the data layer for approved but unsupplied land, the data layer for overdue construction land, and the data layer for idle land can be further refined. For example, when generating the data layer for approved but unsupplied land, the land approval data layer and the land supply data layer can be superimposed using the overlay analysis tool of the GIS software to extract the land data that has been approved but not yet supplied. Then, based on the extracted data information, the attribute fields for approved but unsupplied land are filled in, such as the area of ​​unacquired land, the planned land use type, the current land use type, etc. When generating the data layer for overdue construction land, the data for plots in the land supply data layer that have been overdue for less than one year can be extracted, and the attribute fields for overdue construction can be filled in, such as the number of overdue construction days and the number of legal overdue days. When generating the data layer for idle land, the data for plots in the land supply data layer that have been overdue for more than one year and have not been started can be extracted, and the attribute fields for idle land can be filled in, such as whether the disposal has been completed, the disposal method, the reason for idleness, etc. These specific operational steps and technical applications not only improve the quality of the data, but also enhance the practicality and reliability of the database, providing a solid data foundation for the efficient management of post-approval stock land.

[0093] In some embodiments, automatically updating the graphics data in S7 includes:

[0094] S71. Generate the batch but not yet supplied land graphic data based on the batch land data layer minus the supply land data layer;

[0095] S72. Extract data from the land supply data layer that has been overdue for construction for less than one year to generate graphic data of overdue land;

[0096] S73. Extract the data of idle land from the land supply data layer, which has been overdue for construction for more than one year and has not been recognized as having started construction, to generate idle land graphic data.

[0097] It's important to note that automatically updating the graphical and attribute data in the post-approval land inventory database is a key step in ensuring data currency and accuracy. This process automatically identifies and updates relevant data based on changes in land supply, land use approval, and development and construction status, ensuring that the post-approval land inventory database reflects actual land use in real time. For example, if a parcel of land transitions from approved but unsupplied to overdue construction, the system automatically identifies this change and updates the corresponding graphical data and attribute fields, improving data management efficiency and accuracy.

[0098] Specifically, automatically updating graphic data and attribute data involves several key concepts and operational steps. Land supply status, land use approval status, and development and construction status are three important parameters describing land use. Land supply status refers to whether land has been supplied, land use approval status refers to whether land approval procedures have been completed, and development and construction status refers to whether construction or development has begun on the land. Changes in these statuses can be identified by monitoring data changes in the land supply data layer and the land allocation data layer. For example, if the construction start date of a plot in the land supply data layer exceeds the agreed time, the system can identify the plot as overdue. Updating graphic data includes generating new graphic data for approved but unsold land, overdue construction land, and idle land. This graphic data is generated through overlay analysis of the land allocation data layer and the land supply data layer using GIS technology. Updating attribute data involves automatically populating and updating relevant attribute fields, such as the number of days overdue for construction and the reason for idleness. These attribute fields can be updated by the system automatically identifying and matching relevant data.

[0099] Preferably, the process of automatically updating graphical data and attribute data can be further refined. For example, when generating graphical data for approved but unallocated land, the system can deduct the land supply data layer from the land approval data layer to identify unallocated land and generate new graphical data for approved but unallocated land. When generating graphical data for overdue construction land, the system can automatically extract data from the land supply data layer for land that has exceeded the construction start date but less than one year ago and generate new graphical data for overdue construction land. When generating graphical data for idle land, the system can extract data from the land supply data layer for land that has exceeded the construction start date by more than one year but has not been confirmed to have started construction and generate new graphical data for idle land. For attribute data updates, the system can automatically identify changes in land status and automatically populate and update relevant attribute fields according to preset rules. For example, when a piece of land changes from approved but unallocated to overdue construction start status, the system can automatically update attribute fields such as the number of days overdue and the number of days legally overdue. These specific operational steps and technical applications not only improve the efficiency of data updates but also ensure data accuracy and currency, providing solid data support for the efficient management of post-approval land inventory.

[0100] In some embodiments, the automatic reminder function in S8 includes:

[0101] A reminder message will be sent three months before the agreed start, completion or idle period, and a start-up performance notice or completion performance notice will be automatically generated; the land-user unit interaction function includes: receiving on-site photos or explanatory documents uploaded by the land-user unit through a link, and linking them to the corresponding project data.

[0102] It should be noted that the automatic reminder function and the land user interaction function are key modules in the post-approval stock land management system for improving management efficiency and interactivity. The automatic reminder function can send reminders to land users before the agreed start, completion, or idle period, and automatically generate a start-of-construction performance notice or completion performance notice, thereby ensuring that land users fulfill their relevant obligations on time. The land user interaction function allows land users to upload on-site photos or explanatory documents via a link and link this information to the corresponding project data, facilitating real-time monitoring and management by management departments. These functions not only improve management efficiency but also enhance communication and collaboration between land users and management departments.

[0103] Specifically, the automatic reminder function and the land-user interaction function involve several key concepts and operational steps. The agreed start, completion, or idle period in the automatic reminder function refers to the specific time points stipulated in the land supply contract or relevant regulations. The system will automatically send reminder messages three months before these time points. Reminder messages can be sent to land-users via SMS, email, or other electronic means to ensure that they receive timely notifications. The link in the land-user interaction function refers to an online platform or interface provided by the system, through which land-users can upload on-site photos or explanatory documents. These documents can be photos of the construction site, project progress reports, or other relevant documents used to prove the land-user's development progress or explain the reasons for delays. The system will automatically link these files to the corresponding project data to facilitate review and record-keeping by the management department. The implementation of these functions requires the system to have powerful data processing capabilities and a user-friendly interactive interface to ensure the timely transmission and effective management of information.

[0104] The automatic reminder function and the interactive function for land users can be further refined. For example, the system can set up multiple reminder nodes within the automatic reminder function, sending reminders not only three months before the start of construction, completion, or idle period, but also one month beforehand to ensure that land users have sufficient preparation time. Reminders can include specific project requirements, the consequences of default, and the application process and required materials for extensions, helping land users better fulfill their contractual obligations. Within the interactive function for land users, the system can provide detailed upload instructions on how to upload files and ensure that the file format meets system requirements. The system can also set up an automatic review function to conduct a preliminary review of uploaded files to ensure that the content is complete and meets the requirements. If the file does not meet the requirements, the system can automatically send feedback and request the land user to re-upload. These specific operational steps and technical applications not only improve management efficiency but also strengthen interaction and trust between land users and management departments, providing strong support for the efficient management of post-approval land reserves.

[0105] In some embodiments, the visual rendering in S8 includes:

[0106] According to the preset color scheme and transparency settings, the post-approval stock land data is superimposed and displayed with the national land space planning data, urban control detailed planning data and remote sensing image data.

[0107] It should be noted that visual rendering and display are crucial components of post-approval land inventory data management. They aim to intuitively present land data overlaid with relevant planning, current status, and remote sensing imagery. This process not only helps land management departments quickly understand the actual land use situation but also provides visual support for decision-making. For example, by setting preset color schemes and transparency, post-approval land inventory data can be overlaid with national land space planning data, urban control detailed planning data, and remote sensing imagery data, visually demonstrating the land's location, use, and relationship to the surrounding environment.

[0108] Specifically, visual rendering involves several key concepts and operational steps. The preset color scheme refers to assigning specific colors to data layers according to different land types and statuses, so as to visually distinguish them on the map. The transparency setting allows users to adjust the transparency of different layers so that the content of each layer can be clearly seen when superimposed. Post-approval stock land data includes layers such as approved but unallocated land, overdue construction land and idle land. These data are generated through superposition analysis and stored in the post-approval stock land database. National land space planning data and urban control detailed planning data are planning data used to guide urban development. These data are usually provided by urban planning departments and managed and displayed through GIS technology. Remote sensing image data are ground images obtained through satellite or aerial photography, which are used to show the current status and changes of the land. The acquisition and processing of these data require professional GIS software and technical support to ensure the accuracy and availability of the data.

[0109] Preferably, the visualization rendering and display process can be further refined. For example, when setting a preset color scheme, different colors can be assigned based on the different land statuses, such as approved but not yet supplied, overdue construction, or idle, to facilitate quick identification on the map. Transparency settings can be adjusted according to user needs. For example, setting the transparency of remote sensing imagery data to 50% allows for clear viewing of the overlaid land data layer while displaying the remote sensing imagery. When overlaying the display, different layers can be overlaid in a specific order—for example, displaying remote sensing imagery data first, followed by national land space planning data, urban control detailed planning data, and post-approval land inventory data—to ensure a clear and informative final display. Furthermore, the system can provide interactive features, allowing users to display or hide specific layers as needed, as well as adjust the order and transparency of layers, to meet diverse user needs. These specific operational steps and technical applications not only improve data visualization but also enhance user interactivity with the system, providing strong support for efficient management and decision-making regarding post-approval land inventory.

[0110] In some embodiments, the further step S9 includes:

[0111] The multi-level statistical analysis module is used to perform conditional screening on post-approval land inventory data and generate statistical charts or customized analysis reports.

[0112] Generating statistical charts or customized analysis reports includes: generating a heat map based on the spatial distribution of the post-approval stock land data, and generating an idle land change trend map based on time series data; overlaying and analyzing the approved but unallocated land data layer with the three-zone and three-line demarcation results data, and counting the area of ​​approved but unallocated land occupying permanent basic farmland.

[0113] It's important to note that the multi-level statistical analysis module is a crucial component of the post-approval inventory land data management system. It's used to conditionally filter post-approval inventory land data and generate statistical charts or customized analysis reports. This module can classify, aggregate, and analyze data based on different management needs, providing decision support for land management departments. For example, the multi-level statistical analysis module can filter by occupied permanent basic farmland area, idle land during the base period, or disposal method, generating corresponding statistical charts or analysis reports to help management departments quickly understand the current status and problems of land use.

[0114] Specifically, the multi-level statistical analysis module involves multiple key concepts and operational steps. Conditional screening refers to screening the post-approval stock land data according to specific conditions in order to extract a data subset that meets specific needs. For example, you can screen by the area of ​​permanent basic farmland occupied to extract project data with a larger occupied area. Statistical charts refer to displaying the filtered data in the form of charts, such as bar charts, pie charts, etc., in order to more intuitively present the data distribution and trends. Customized analysis reports refer to generating detailed analysis reports based on user needs. These reports can include detailed descriptions of the data, analysis results, and suggestions. The implementation of these functions requires the system to have powerful data processing capabilities and a flexible user interface to ensure that users can perform customized operations according to their own needs. For example, users can extract relevant data and generate corresponding statistical charts or analysis reports by setting screening conditions, such as the area of ​​permanent basic farmland occupied is greater than a certain threshold.

[0115] When generating statistical charts or customized analysis reports, we first use the kernel density analysis tool to calculate the concentration of idle land in each area based on the spatial coordinate data in the post-approval stock land database. This generates a heat map represented by a color gradient, with red representing high-density idle areas and green representing low-density areas. The heat map is then overlaid with the administrative division layer to mark hot spots that require key supervision. At the same time, we extract indicators such as the historical area of ​​idle land and the number of plots with overdue construction, conduct time series analysis on a quarterly or annual basis, generate line charts or bar charts to visually display the changing trends, and mark the policy release time points in the chart to assess the policy impact. Furthermore, we call the permanent basic farmland layer from the "Three Zones and Three Lines" demarcation results data and perform a spatial overlay analysis with the approved but unallocated land data layer to identify plots of land illegally occupied by permanent basic farmland. The occupied area is counted and a warning list is generated. The location of the illegal plots and the administrative district to which they belong are marked, and a statistical table containing the illegal area and coordinates is output.

[0116] In some embodiments, conditional screening includes:

[0117] Filter by the fields of occupied permanent basic farmland area, idle land in the base period, or disposal method;

[0118] A zoning disposal priority list is generated based on the screening results, and the priority list is sorted based on the length of time the land has been idle, the area of ​​permanent basic farmland occupied, and the degree of conflict in planned use.

[0119] It's important to note that the conditional filtering function is a key component of the multi-level statistical analysis module. It's used to filter post-approval land inventory data based on specific parameters, allowing for the rapid extraction of data subsets that meet specific requirements. This function enables land management departments to classify and aggregate data based on diverse management needs, providing data support for decision-making. For example, the conditional filtering function can be used to filter by occupied permanent basic farmland area, idle land during the base period, or disposal method, generating corresponding statistical charts or analytical reports to help management departments quickly understand the current status and problems of land use.

[0120] Specifically, the conditional screening function involves multiple key concepts and operational steps. The area of ​​occupied permanent basic farmland refers to the area of ​​permanent basic farmland involved in the land project. This parameter is crucial for evaluating the compliance and rationality of land use. Base period idle land refers to land that is identified as idle in the base period at a specific point in time. This parameter is used to track and manage long-term idle land resources. Disposal method refers to the specific treatment measures taken for post-approval stock land, such as replanning, redevelopment or recovery. The setting of these parameters needs to be customized according to local management needs to ensure the accuracy and practicality of data screening. The implementation of the conditional screening function requires the system to have powerful data processing capabilities and a flexible user interface to ensure that users can customize operations according to their own needs. For example, users can filter data that meets the conditions by setting specific parameter values, such as the area of ​​occupied permanent basic farmland is greater than a certain threshold, and generate corresponding statistical charts or analysis reports.

[0121] Preferably, the operating steps of the conditional screening function can be further refined. For example, when setting the screening conditions, the system can provide a variety of screening options, such as the area of ​​permanent basic farmland occupied, idle land in the base period or disposal methods, etc., and allow users to combine these conditions as needed. Users can filter data that meets the conditions by setting specific parameter values, such as the area of ​​permanent basic farmland occupied is greater than 50 mu. When generating statistical charts, the system can automatically generate various types of charts such as bar charts and pie charts based on the filtered data, and provide custom functions for charts, such as adjusting colors, adding titles, etc. When generating customized analysis reports, the system can integrate the filtered data and analysis results into a detailed report according to user needs. The report can contain a detailed description of the data, analysis results and suggestions, etc. These specific operating steps and technical applications not only improve the efficiency of data analysis, but also enhance the flexibility and user-friendliness of the system, and provide strong support for the efficient management and decision-making of post-approval stock land.

[0122] More specifically, during the condition screening and priority list generation process, land parcels for disposal are selected by setting conditions such as "occupied permanent basic farmland area greater than zero," "disposal status undisposed," and "idle start date earlier than a benchmark date." A multi-dimensional scoring model is used to calculate a comprehensive score based on the duration of idleness (40% weight), the area of ​​basic farmland occupied (35% weight), and the degree of planning conflict (25% weight). For example, the idle duration score is converted to a percentage based on the number of days of idleness, the occupied area score is calculated proportionally, and the planning conflict score is assigned based on the degree of compatibility between the parcel's use and the national land space plan. Finally, a priority list is generated in descending order of the comprehensive score, categorizing the parcels into three levels: high, medium, and low. High-priority parcels are recommended to initiate the reclamation process within three months, medium-priority parcels are recommended to be disposed of within six months, and low-priority parcels are included in routine monitoring. This list is integrated with the GIS platform; clicking on a list item automatically navigates to the corresponding location on the map, supporting differentiated management strategies for each zone and improving disposal efficiency.

[0123] The above embodiments of the present invention have the following beneficial effects:

[0124] 1. By constructing a multi-level data layer system covering land supply, land approval, land approved but not supplied, overdue construction and idle land, and adopting multi-source data fusion and standardization processing technology, the problems of incomplete data in the existing system and inconsistent data between ministries and provinces have been solved, and comprehensive coverage and unified management of post-approval stock land data have been achieved, providing accurate data support for intensive land use.

[0125] 2. By overlaying and analyzing land supply and approval data, and combining multi-dimensional information such as planning and remote sensing images, data layers of unsupplied, overdue construction and idle land are automatically generated. At the same time, automatic updates of graphics and attributes are achieved based on dynamic data such as land change surveys, which improves the real-time and accuracy of stock land monitoring and solves the shortcomings of low efficiency and data lag of traditional manual statistics.

[0126] 3. By integrating automatic reminders, land-using unit interactions, and spatial query and analysis functions, the system realizes full-process supervision from land supply to development and construction. It can proactively warn of risks of overdue commencement and idleness, and supports ownership association and visual display, thereby improving the supervision efficiency and scientific decision-making of local land management departments and promoting the efficient and intensive use of land.

[0127] like Figure 2 As shown, in some embodiments, a data management system for post-grant inventory land is provided, the system comprising:

[0128] Database construction module, used to build land supply and approval database and post-approval land inventory database;

[0129] Automatic update module, used to automatically update graphic data and attribute data according to changes in land supply status, land use approval status, and development and construction status;

[0130] Business auxiliary module, used to perform automatic reminder functions, land use unit interaction functions, and spatial query and overlay analysis functions;

[0131] The visualization module is used to visualize and display post-approval land inventory data; the multi-level statistical analysis module is used to generate statistical charts or customized analysis reports.

[0132] It is understandable that the modules and references recorded in the data management system for the land after the batch Figure 1 Therefore, the operations, features, and beneficial effects described above for the data management method for post-approval stock land are also applicable to the data management system for post-approval stock land and the modules contained therein, and will not be repeated here.

[0133] Reference below Figure 3 , which shows a schematic structural diagram of an electronic device 300 suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0134] like Figure 3 As shown, electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 302 or programs loaded from a storage device 308 into a random access memory (RAM) 303. RAM 303 also stores various programs and data required for the operation of electronic device 300. Processing device 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to bus 304.

[0135] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as needed.

[0136] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or a terminal device such as a computer, server, mobile phone, or tablet.

[0137] The above descriptions merely illustrate some preferred embodiments of the present invention and the underlying technical principles. Those skilled in the art should understand that the scope of the invention encompassed by the embodiments of the present invention is not limited to technical solutions formed by specific combinations of the aforementioned technical features. It also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents, without departing from the aforementioned inventive concept. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. A data management method for post-approval stock land, characterized in that: include: Construct data layers for land supply, land allocation, approved but unallocated land, overdue construction land, and idle land; Collect data on construction land projects that have been supplied, construction land projects that have been approved, land change survey data, land acquisition data, land reserve data, real estate registration data, three-zone and three-line demarcation results data, land space planning data, urban control detailed planning data, and remote sensing image data; Based on the data of construction land projects that have been supplied and the data of construction land projects that have been approved, data processing is performed on the land supply data layer and the land approval data layer to generate standardized land supply data and land approval data; Build a land supply and approval database based on standardized land supply data and land approval data; Overlay and analyze the land supply data layer and the land approval data layer in the land supply and approval database to generate data layers of approved but unsupplied land, data layers of overdue construction land, and data layers of idle land, and build a post-approval land stock database; Based on land change survey data, land acquisition data and land reserve data, the graphic data and attribute data of the approved land database are automatically updated according to changes in land supply status, land use approval status and development and construction status; The data of the post-approval stock land database is visually rendered and displayed, and the post-approval stock land data is superimposed with the national land space planning data, urban control detailed planning data and remote sensing image data.

2. The data management method for post-grant stock land according to claim 1, characterized in that: Based on the data of construction land projects that have been supplied and the data of construction land projects that have been approved, data processing is performed on the land supply data layer and the land approval data layer to generate standardized land supply data and land approval data, including: Supplement the plot coordinate information by matching the real estate registration data; Spatially match the remote sensing image data with the land supply data layer and the land batch data layer to locate the land data with offset graphic positions and correct the coordinates; Perform topological analysis on the land supply data layer and the land batch data layer, clear the revoked project data, update the changed project data and delete duplicate data; Repair self-intersecting graphics, correct narrow and long graphics, and split composite feature graphics to eliminate graphic topology errors; Verify land acquisition data and land change survey data, and correct missing or incorrect attribute fields in land supply data and land allocation data; Compare the graphic area with the attribute area and re-vectorize the plots where the difference exceeds a threshold.

3. The data management method for post-grant stock land according to claim 2, characterized in that: Supplementing the plot coordinate information by matching real estate registration data includes: Extract the coordinates of boundary points from the plot map, planning and design conditions map, land survey and demarcation map or approval scope red line map, and convert them into the geodetic coordinate system through GIS technology.

4. The data management method for post-grant stock land according to claim 1, characterized in that: The specific steps to generate the batch but unsupplied land data layer are: Superimpose the land approval data layer and the land supply data layer, extract the data of the plots that have been approved but not supplied, and fill in the attribute fields of the land that has been approved but not supplied; generate the data layer of land that has been overdue for construction by extracting the data of the plots that have been overdue for construction for less than 1 year in the land supply data layer, and fill in the attribute fields of the overdue construction; generate the idle land data layer by extracting the data of the plots that have been overdue for construction for more than 1 year and have not been started in the land supply data layer, and fill in the attribute fields of the idle land.

5. The data management method for post-grant stock land according to claim 1, characterized in that: The graphic data of the automatically updated post-approval land inventory database includes: Generate the graphic data of the land that has been allocated but not allocated based on the land allocation data layer by deducting the land allocation data layer; Extract the data of overdue construction that has started for less than 1 year from the land supply data layer to generate graphic data of overdue construction land; Extract the data of idle land graphic data from the land supply data layer for projects that have been delayed for more than one year and have not been recognized as having started construction.

6. The data management method for post-grant stock land according to claim 1, characterized in that: The method further comprises: A reminder message will be sent three months before the agreed start, completion or idle period, and a start-up performance notice or completion performance notice will be automatically generated; the land-user unit interaction function includes: receiving on-site photos or explanatory documents uploaded by the land-user unit through a link, and linking them to the corresponding project data.

7. The data management method for post-grant stock land according to claim 1, characterized in that: Visual rendering includes: According to the preset color scheme and transparency settings, the post-approval stock land data is superimposed and displayed with the national land space planning data, urban control detailed planning data and remote sensing image data.

8. The data management method for post-grant stock land according to claim 1, characterized in that: Also includes: The multi-level statistical analysis module is used to perform conditional screening on post-approval land inventory data and generate statistical charts or customized analysis reports.

9. The data management method for post-grant stock land according to claim 8, characterized in that: Conditional screening includes: Filter by the area of ​​occupied permanent basic farmland, idle land in the base period or disposal method fields.

10. A data management system for post-approval stock land, characterized in that: Includes the following modules: Database construction module, used to build land supply and approval database and post-approval land inventory database; Automatic update module, used to automatically update graphic data and attribute data according to changes in land supply status, land use approval status, and development and construction status; Business auxiliary module, used to perform automatic reminder functions, land use unit interaction functions, and spatial query and overlay analysis functions; Visualization module, used for visual rendering and display of post-approval stock land data; Multi-level statistical analysis module, used to generate statistical charts or customized analysis reports.

Images