Land management process-based land ownership verification analysis method and system

Abstract

The invention relates to a land management process-based land ownership verification analysis method and system, and the method comprises the following steps: S1, building a plurality of data layers with different sorting levels according to the sequence of land utilization links, and carrying out the construction of standard analysis source data through employing original warrant data; s2, performing capping analysis on a target area to be subjected to ownership affirmation by using the analysis source data to obtain capping ownership data and blank ownership data; S3, performing validity analysis on the capping ownership data and the blank ownership data by using auxiliary analysis data to obtain annotation data; and S4, extracting main information in original attributes in the capping right data in the step S2, extracting supplementary information of the annotation data in the step S3, and then integrating and outputting the main information and the supplementary information.

Description

Technical Field

[0001] This invention relates to the field of land parcel management, and in particular to a method and system for land ownership verification and analysis based on land management processes. Background Technology

[0002] Land management encompasses a wide range of aspects, covering all aspects of the entire lifecycle of land resources, from acquisition, use, and protection to transfer and supervision. In China, under the specific context of a public ownership system of land ownership by the whole people and collective ownership, the core objectives of land management are to rationally utilize land resources, effectively protect arable land, ensure national food security, promote sustainable economic and social development, and safeguard the legitimate rights and interests of land owners.

[0003] Land management includes ownership management, land use control, and market management. First, land in China is divided into state-owned and collectively owned land, and ownership registration is the foundation of land management. Second, land use control is a core feature of China's land system, with regulations governing arable land protection red lines and construction land quotas. Finally, land bidding, auctions, secondary market transfers, and ecological protection are all part of land market management.

[0004] While there are relevant data records for each complex business process involving land, in practice, the creation of new construction land involves multiple complex business processes such as planning, preliminary planning, site selection pre-approval, land use approval, land supply, engineering permits, completion acceptance, and land registration. There is a lack of coordination mechanisms among these business processes, and data sharing between departments is often blocked, making it difficult to link data through simple land codes.

[0005] With ownership of rights as its core, property registration accurately records information such as the ownership, location, boundaries, and area of ​​natural resources and real estate. It objectively reflects the establishment, alteration, transfer, and extinction of real estate rights, and constitutes the property rights base for the natural resources authorities to fulfill their "two unified" responsibilities. In essence, it studies, resolves, and regulates the relationship between people and land, as well as the relationships between people above that, and human behavior related to land use activities through land ownership and rights.

[0006] However, due to historically inadequate or lax implementation of quality control systems for land ownership surveys, the completeness, accuracy of attributes, and accuracy of parcel location and boundaries of land ownership data cannot be guaranteed. Taking Nansha District of Guangzhou City as an example, based on its actual business situation, relying solely on real estate ownership data to verify land ownership information is far from sufficient, as there may be issues such as delays in processing new ownership certificates or the failure to register existing ownership certificates. Moreover, there is also the problem of not being able to establish effective data correlations on the physical data. Summary of the Invention

[0007] Therefore, it is necessary to provide a land ownership verification and analysis method and system based on the land management process.

[0008] One embodiment of the present invention provides a land ownership verification and analysis method based on land management processes, comprising the following steps:

[0009] S1. Based on the chronological order of land use, establish multiple data layers with different sorting levels. After associating all the collected original certificate data with the multiple data layers respectively, unify the location coordinates of the original certificate data and their corresponding legal boundaries in the same coordinate system and lay them out on the same plan. Use the land virtual code to link the data in each data layer together and perform business re-sorting to construct standard analysis source data.

[0010] The original certificate data includes real estate registration data, land supply data, and land use approval data; the land supply data includes data on land that has been reclaimed; the multiple data layers are ordered as a first data layer, a second data layer, and a third data layer.

[0011] S2. Input the target area to be identified by the red line, retrieve the source data for analysis and perform overlay analysis on the target area, extract the overlay data corresponding to the part of the source data that overlaps with the target area, for plots in the target area with multiple different overlay data, determine the ownership and boundaries of the overlaid plots according to the overlay results of the first data layer or the second data layer with priority in sorting level, and output the overlay cadastral data;

[0012] Among them, the plots of land in the target area that are not covered by the source data of the analysis are identified as blank ownership land, and the data that delineates the boundaries of the blank ownership land is output as blank ownership data;

[0013] S3. Use auxiliary analysis data to perform validity analysis on the overlaid land ownership data and the blank ownership data to obtain labeled data; wherein, the auxiliary analysis data includes state-owned land recovery data, collective land expropriation data, forest land management data, and urban renewal scope data;

[0014] S4. Extract the main information from the original attributes of the overlay land ownership data in step S2, extract the supplementary information from the labeled data in step S3, and then integrate and output the main information and the supplementary information.

[0015] Preferably, in step S1, data mining and analysis techniques are used to establish virtual land codes for all land parcels within the scope based on the principles of spatial consistency and temporal order. The original land certificate data is then linked together with the virtual land codes to perform full lifecycle data concatenation for each land parcel. The original land certificate data is then reconstructed in time sequence according to the sorting level to construct standard analysis source data with different sorting level layers.

[0016] Preferably, the data layer includes a first data layer, a second data layer, and a third data layer representing different periods of land use, with the first data layer having a higher sorting priority than the second data layer, and the second data layer having a higher sorting priority than the third data layer.

[0017] Preferably, in step S2, when obtaining the overlay land ownership data for ownership determination, it is determined whether the sorting level of the data layer where the overlay data is located is the top-level data layer, and the data layer with the highest priority is used as the top-level data layer, and the overlay data of the top-level data layer is used as the output overlay land ownership data.

[0018] Preferably, determining whether the data layer containing the overlay data is the topmost data layer specifically includes the following steps:

[0019] If you drill down in the business timeline and the top layer is the registration data, then the data in the first data layer will be used as the basis for determining ownership.

[0020] If drilling down in the business timeline, the top layer is the reclaimed data. Then, the ownership data or supply data of the second data layer is used as the basis for ownership determination. It is also necessary to mark that the certificate or contract has been reclaimed, indicating that the land parcel is actually usable land. Here, the reclaimed data refers to the reclaimed data of state-owned land.

[0021] If, when drilling down in the business timeline, the top layer is the approval data or land acquisition data, and the corresponding second data layer is the land ownership data, then the data of the second data layer is used as the basis for determining ownership. At the same time, it is marked that the land has actually been acquired or recovered, and whether a land use permit has been obtained.

[0022] Preferably, step S2 specifically includes:

[0023] S201. Prioritize using the real estate registration data in the source data of the analysis to perform overlay analysis on the target area. If there is overlay, capture the corresponding certificate number and right holder information of the overlay real estate registration data as the ownership determination result of the overlay area. Subtract the certificate land plots corresponding to the overlay area within the target area to obtain the first remaining area.

[0024] S202. Using the data from the construction land approval document, land supply contract, and approved red line in sequence, the first remaining area is further analyzed for overlay, resulting in a second remaining area without any overlay. The plots in the second remaining area are identified as blank ownership land. Among them, the construction land approval document and land supply contract are both land supply data, and the approved red line is usable land.

[0025] Preferably, in step S3, the validity analysis of the overlay rights data using auxiliary analysis data specifically includes:

[0026] S301. Determine whether the overlaid land ownership data is state-owned land that has been recovered or collective land expropriation data. If so, output the matching overlaid land ownership data after supplementary interpretation. If not, output it directly. Obtain the first output data. The main contents of the supplementary interpretation include marking that it has actually been recovered, the ownership is pending cancellation, and each part can be directly used when making land use decisions.

[0027] S302. Determine whether the overlaid land use data is forest land use right. If so, then the forest land data should be overlaid for further analysis and supplementary interpretation before output. If not, output directly to obtain the second output data.

[0028] S303. Overlay the data to be supplemented using the urban renewal scope data, determine whether there is any overlap, if there is overlap, supplement the explanation of the overlapped plots and output them, if not, output them directly; obtain the third output data;

[0029] The first output data, the second output data, and the third output data constitute the labeled data.

[0030] Preferably, in step S4, when determining the ownership of the land, the main information includes the land use nature and the land use unit. The land use unit includes the object to which the rights belong, the basis for ownership, the boundary corresponding to the ownership, and the area. The land use nature includes state-owned land and collectively owned land.

[0031] Preferably, the right holder is the land user, and the land user is determined by identifying the land user.

[0032] This invention also provides a land ownership verification and analysis system based on land management processes, comprising:

[0033] The data aggregation layer is used to obtain various types of land cadastral data related to land ownership through data synchronization interfaces with other platforms, and to collect land cadastral data entered into the population database. After the collected data is stored in the physical database, data quality improvement processing is performed.

[0034] The platform layer is used to view and apply various natural resource data and planning data on the integrated platform of the bureau, which has already built a complete natural resource catalog system and achieved the requirement of "one map" of natural resources.

[0035] The mining and analysis layer is used to perform spatial analysis and spatial coding processing on various types of data related to ownership after pre-operation such as data quality inspection and topology inspection. It also supports the application of correlation analysis and statistical analysis of ownership data within the scope of interest.

[0036] The application layer is used to build application scenarios for ownership verification and ownership map systems based on actual needs. At the same time, the ownership verification and analysis capabilities are packaged into API interfaces to support external calls.

[0037] This invention provides a method and system for land ownership verification and analysis based on land management processes. Focusing on land registration data, it also analyzes land supply (including land reclamation), land use approval, and land expropriation data, cross-referencing them. A single-code management system is used for land ownership data, employing data mining and analysis techniques based on spatial consistency and temporal chronology principles to establish a virtual land code. This achieves the goal of linking data across the entire lifecycle of each land parcel, integrating various existing information from different departments within the same region and for the same land parcel, achieving efficient integration in both time and space. This invention accurately determines land ownership by determining which stage of the land use process a specific land parcel is currently in, and then extracting the method corresponding to the land-using unit at that stage. Attached Figure Description

[0038] The above and other objects, features, and advantages of the invention will become clearer through a more detailed description of the preferred embodiments illustrated in the accompanying drawings. The same reference numerals denote the same parts throughout the drawings, and the drawings are not intentionally drawn to scale with actual dimensions; the focus is on illustrating the gist of the invention.

[0039] Figure 1 This is a schematic diagram of the land study area according to an embodiment of the present invention;

[0040] Figure 2 This is a schematic diagram showing the comparison between land use data and integrated platform data in a preferred embodiment of the present invention;

[0041] Figure 3 This is a schematic diagram illustrating the extraction of land data from the data layer using data mining and analysis techniques in the method of this invention.

[0042] Figure 4 This is a structural framework diagram of the ownership data analysis and application platform of the system according to an embodiment of the present invention;

[0043] Figure 5This is a schematic diagram of the R-Tree structure of the method according to a preferred embodiment of the present invention;

[0044] Figure 6 This is a flowchart of the ownership verification and analysis method according to an embodiment of the present invention;

[0045] Figure 7 This is a flowchart of the ownership verification method according to an embodiment of the present invention;

[0046] Figure 8 This is a flowchart illustrating the "ownership diagram" analysis in an embodiment of the present invention.

[0047] Figure 9 This is a schematic diagram of the "ownership diagram" in an embodiment of the present invention. Detailed Implementation

[0048] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention.

[0049] like Figures 1-9 As shown, one embodiment of the present invention provides a land ownership verification and analysis method based on land management processes, including the following steps:

[0050] S1. Based on the chronological order of land use, establish multiple data layers with different sorting levels. After associating all the collected original certificate data with the multiple data layers respectively, unify the location coordinates of the original certificate data and their corresponding legal boundaries in the same coordinate system and lay them out on the same plan. Use the land virtual code to link the data in each data layer together and perform business re-sorting to construct standard analysis source data.

[0051] The original certificate data includes real estate registration data, land supply data, and land use approval data; the land supply data includes data on land that has been reclaimed; the multiple data layers are ordered as a first data layer, a second data layer, and a third data layer.

[0052] S2. Input the target area to be identified by the red line, retrieve the source data for analysis and perform overlay analysis on the target area, extract the overlay data corresponding to the part of the source data that overlaps with the target area, for plots in the target area with multiple different overlay data, determine the ownership and boundaries of the overlaid plots according to the overlay results of the first data layer or the second data layer with priority in sorting level, and output the overlay cadastral data;

[0053] Among them, the plots of land in the target area that are not covered by the source data of the analysis are identified as blank ownership land, and the data that delineates the boundaries of the blank ownership land is output as blank ownership data;

[0054] S3. Use auxiliary analysis data to perform validity analysis on the overlaid land ownership data and the blank ownership data to obtain labeled data; wherein, the auxiliary analysis data includes state-owned land recovery data, collective land expropriation data, forest land management data, and urban renewal scope data;

[0055] S4. Extract the main information from the original attributes of the overlay land ownership data in step S2, extract the supplementary information from the labeled data in step S3, and then integrate and output the main information and the supplementary information.

[0056] Ownership investigation is a crucial part of cadastral surveying and a prerequisite and foundation for cadastral measurement. Its investigation unit is the land parcel, which is a plot of land enclosed by ownership boundary lines. The purpose of this investigation is to clarify the land ownership status, location, boundaries, and land type within the survey area. In the early stages of project approval, such as land use application, land consolidation, urban renewal, and major project planning, verifying land ownership issues within the project's red line is a key step.

[0057] Currently, the ownership of land parcels within the project boundary is mainly determined by overlaying project data and ownership data, with designated personnel making visual judgments or conducting simple overlay analysis. This business process is both inefficient and inaccurate.

[0058] To further optimize the ownership verification mechanism, an ownership verification and analysis system was built based on a clear understanding of the ownership determination logic. This system utilizes technological means to optimize the ownership verification process, thereby improving the scientific rigor, objectivity, and accuracy of the verification work. Based on a thorough understanding of the existing ownership verification models and standards within the bureau, and considering the actual situation of the bureau's ownership data and current business needs, we have streamlined and summarized the business logic.

[0059] Users simply need to input or draw the boundary line area to be analyzed online, and the system will automatically call the necessary data services and perform verification based on a preset algorithm. Ultimately, the system will generate a combined text and image ownership verification report containing information such as the land parcel number, source layer, land certificate number, right type, land user name, covered area, and ownership area.

[0060] like Figure 7The diagram shows the system flowchart for ownership verification. The data involved in ownership verification includes state-owned land ownership data, collective land ownership data, reserved land data, forest land data, natural building data, construction land approval documents, land supply contracts, and approved red lines. Ownership verification allows for flexible selection of layers to be verified based on different focuses, suitable for various application scenarios. In the case of full data analysis, the ownership verification process is as follows:

[0061] Directly input or import project data: After importing or drawing the project boundary red line, perform overlay analysis: First, conduct overlay analysis on state ownership data, collective ownership data, reserved land data, and forest land data.

[0062] Among them, the state-owned construction land use right parcels and the homestead use right parcels of collective ownership data need to be matched with natural buildings through the attribute of "parcel code" to obtain the natural building information on the parcel, and the real estate ownership certificate number is used to replace the land certificate number that may be missing.

[0063] For the three status layers before obtaining the certificate: the land use approval document, the land supply contract, and the approved red line, the map areas of these three status layers overlap. The priority order of the three is: land use approval document > land supply contract > approved red line.

[0064] After deducting the area of ​​the land parcels within the red line boundary, the remaining area will be analyzed for overlap by the construction land approval document, land supply contract, and approved red line. After each analysis, the area of ​​the current layer's map patches will be deducted, and the remaining plots without any overlap will be identified as blank ownership land. Finally, the verified overlapped and unclaimed plots will be output as vector data, and the analysis results will be compiled into an ownership verification report for output.

[0065] The "One Map of Ownership" system aims to comprehensively understand the ownership status of every piece of land in the entire district, especially the available land in each town and street. Compared to ownership verification, the "One Map of Ownership" focuses more on providing data update management and decision support functions, without needing to specifically focus on the land rights holders. Therefore, the cadastral data used for analysis in the "One Map of Ownership" system differs, and the data involved includes:

[0066] Property rights information data, such as state-owned construction land use right parcels, natural building data, sea area use right parcels, collective land ownership parcels, and forest land ownership parcels;

[0067] Available land data, such as land allocated for special purposes, land acquired but not yet supplied, and land approved but not yet supplied;

[0068] Data that has been supplied but not yet registered, such as land reserved for development, land supply contracts, construction land approval documents, and unregistered state-owned land.

[0069] And secondary verification data, such as the scope of urban renewal, approved red lines, and land acquired but not yet supplied, with analysis processes such as... Figure 8 As shown.

[0070] Among them, data on special land supply, land acquired but not yet supplied, and land approved but not yet supplied pertains to available land and is derived from land supply data and approved red line data. Due to the time-sensitive nature of the land ownership layer, situations may arise where land ownership certificates have been cancelled but not closed, land has been expropriated but not registered, land has been approved repeatedly, and only some plots of land mentioned in construction approval documents have been certified, resulting in unclear land ownership information. Therefore, the purpose of the secondary verification is to determine whether the land falls within the scope of urban renewal, and to identify the data on approved land ownership certificates and land acquisition certificates. Figure 9 As shown, the administrative boundaries of Nansha District are analyzed through a top-down, layer-by-layer overlay process. After each overlay analysis, the map features of the current layer are deducted, and a second verification is performed to obtain a "single ownership map". This system can clearly reflect the ownership status of each piece of land and statistically analyze the available land in each town and street, thereby providing an overall understanding of the land supply and use situation in Nansha District.

[0071] In a preferred embodiment, in step S1, data mining and analysis techniques are used to establish land virtual codes for all land parcels within the scope based on the principles of spatial consistency and temporal order. The original certificate data is then linked together with the land virtual codes to perform full lifecycle data concatenation for each land parcel. The original certificate data is then reconstructed in time sequence according to the sorting level to construct standard analysis source data with different sorting level layers.

[0072] Land ownership determination is based on integrated platform data. By extracting the land data layers involved in the integrated platform data, and using data mining and analysis techniques, based on the principles of spatial consistency and temporal sequence, virtual land codes are established for all land parcels within the scope, realizing the full life cycle data connection of each land parcel.

[0073] like Figure 2 As shown, the integrated platform refers to the integrated spatial information platform for land planning. This platform aggregates over 400 spatial data items related to natural resource management from both within and outside the bureau, serving as a primary auxiliary platform for the daily operations of various departments within the bureau. The platform achieves accurate mapping of land ownership data and overlays and integrates other spatial planning data for browsing and reference by various departments. Based on the actual division of business functions and current operations of the Nansha District Bureau, and comparing it with the standard procedures for land use in construction land—divided into five stages: acquisition and storage, approval, supply, recovery, and registration—the platform outlines the correlation between each business stage and the data on the integrated platform.

[0074] like Figure 3As shown, relying on the integrated platform's "one map" data results, the relevant data layers are extracted. Using data mining and analysis techniques, and based on the principles of "spatial consistency" and "temporal sequence," a "virtual code" is established to achieve the goal of connecting data throughout the entire life cycle of each land parcel, thus realizing the construction of a basic support base for ownership verification.

[0075] In a preferred embodiment, such as Figure 3 As shown, the data layer includes a first data layer, a second data layer, and a third data layer representing different periods of land use, with the first data layer having a higher sorting priority than the second data layer, and the second data layer having a higher sorting priority than the third data layer.

[0076] In a preferred embodiment, in step S2, when obtaining the overlay land ownership data for ownership determination, it is determined whether the sorting level of the data layer where the overlay data is located is the top-level data layer. The data layer with the highest priority is used as the top-level data layer, and the overlay data of the top-level data layer is used as the output overlay land ownership data.

[0077] In a preferred embodiment, determining whether the data layer containing the overlay data is the topmost data layer specifically includes the following steps:

[0078] If you drill down in the business timeline and the top layer is the registration data, then the data in the first data layer will be used as the basis for determining ownership.

[0079] If drilling down in the business timeline, the top layer is the reclaimed data. Then, the ownership data or supply data of the second data layer is used as the basis for ownership determination. It is also necessary to mark that the certificate or contract has been reclaimed, indicating that the land parcel is actually usable land. Here, the reclaimed data refers to the reclaimed data of state-owned land.

[0080] If, when drilling down in the business timeline, the top layer is the approval data or land acquisition data, and the corresponding second data layer is the land ownership data, then the data of the second data layer is used as the basis for determining ownership. At the same time, it is marked that the land has actually been acquired or recovered, and whether a land use permit has been obtained.

[0081] like Figure 3 As shown, ownership determination may involve three stages:

[0082] First, when drilling down, if it is found that the top layer in the business timeline is the registration data, then the data of that layer will be used as the basis for determining ownership.

[0083] Second, when drilling down, if the top layer of the business timeline is found to be supply data or recovery data, then the supply layer data is used as the basis for ownership determination. If there is recovery data above it, then the contract should be marked as recovered, indicating that the land parcel is actually usable land. Among them, recovery data specifically refers to state-owned land recovery data.

[0084] Third, when drilling down, if the top layer of the business timeline contains approval data or land acquisition data, and the land ownership registration has already been processed, then the land ownership registration layer data should be used as the basis for ownership determination. However, it is necessary to mark whether the land has actually been acquired or recovered, and whether a land use permit has been obtained.

[0085] In a preferred embodiment, step S2, which involves using the real estate registration data from the source analysis data to perform overlay analysis on the target area, includes the following specific steps:

[0086] S201. Prioritize using the real estate registration data in the source data of the analysis to perform overlay analysis on the target area. If there is overlay, capture the corresponding certificate number and right holder information of the overlay real estate registration data as the ownership determination result of the overlay area. Subtract the certificate land plots corresponding to the overlay area within the target area to obtain the first remaining area.

[0087] S202. Using the data from the construction land approval document, land supply contract, and approved red line in sequence, the first remaining area is further analyzed for overlay, resulting in a second remaining area without any overlay. The plots in the second remaining area are identified as blank ownership land. Among them, the construction land approval document and land supply contract are both land supply data, and the approved red line is usable land.

[0088] In a preferred embodiment, step S3, which involves using auxiliary analysis data to perform a validity analysis on the overlay rights data, specifically includes:

[0089] S301. Determine whether the overlaid land ownership data is state-owned land that has been recovered or collective land expropriation data. If so, output the matching overlaid land ownership data after supplementary interpretation. If not, output it directly. Obtain the first output data. The main contents of the supplementary interpretation include marking that it has actually been recovered, the ownership is pending cancellation, and each part can be directly used when making land use decisions.

[0090] S302. Determine whether the overlaid land use data is forest land use right. If so, then the forest land data should be overlaid for further analysis and supplementary interpretation before output. If not, output directly to obtain the second output data.

[0091] S303. Overlay the data to be supplemented using the urban renewal scope data, determine whether there is any overlap, if there is overlap, supplement the explanation of the overlapped plots and output them, if not, output them directly; obtain the third output data;

[0092] The first output data, the second output data, and the third output data constitute the labeled data.

[0093] In a preferred embodiment, in step S4, when determining the ownership of the land, the main information includes the land use nature and the land use unit. The land use unit includes the object to which the right belongs, the basis for ownership, the boundary corresponding to the ownership, and the area. The land use nature includes state-owned land and collectively owned land.

[0094] In a preferred embodiment, the object of ownership of the rights is the land-using unit, and the land-using unit is determined by identifying the land-using unit.

[0095] When conducting land ownership verification, the data structure is a tree-structured spatial index, specifically an R-Tree structure.

[0096] Given the actual data quality situation, it is impossible to establish a data relationship model for each business link based on attribute information. Furthermore, traditional relational databases face significant challenges in handling spatial operations. Therefore, the introduction of spatial indexing technology is necessary. Spatial indexing refers to a data structure that arranges spatial elements according to specific rules based on their geographical location, shape, or spatial relationships. Its core purpose is to divide space into different index intervals. During a query, the index interval is determined first before querying entity objects, greatly narrowing the query scope and thus improving query efficiency. Currently, commonly used spatial indexes can be divided into four main categories: tree-based, grid-based, space-fill curve-based, and address-encoded spatial indexes. Considering that this project involves real-time, dynamic querying and analysis of a large amount of data, after comprehensively comparing the advantages and disadvantages of various spatial indexing technologies, this project ultimately adopts a tree-based spatial indexing approach. Since the data related to ownership verification is mainly isometric polygons, further refinement of the tree-based spatial indexing is achieved through methods such as... Figure 5 As shown, this project uses an R-Tree structure. An R-Tree is a data structure used to process multidimensional data, accessing spatial data composed of two-dimensional or higher-dimensional objects. To ensure a relatively optimal R-Tree structure, this project adopts the following two standards: Standard 1: Geographically adjacent nodes are clustered into a single parent node in the tree as much as possible. Standard 2: The overlap between sibling nodes at the same level is minimized.

[0097] As a component of natural resource surveys, real estate cadastral surveys are the prerequisite and foundation for implementing real estate registration. Cadastral records, with ownership of rights at their core, accurately record information such as the ownership, location, boundaries, and area of ​​natural resources and real estate. They objectively reflect the establishment, alteration, transfer, and termination of real estate rights, forming the property rights foundation for the natural resource authorities to fulfill their responsibilities of "two unifications" (unified management and unified administration). Essentially, they use land ownership and rights to study, resolve, and regulate the relationship between people and land, as well as the relationships between people themselves and human activities related to land use.

[0098] However, due to historically inadequate or lax implementation of quality control systems for land ownership surveys, the completeness, accuracy of attributes, and accuracy of land parcel location and boundaries cannot be guaranteed. Taking Nansha District of Guangzhou City as an example, based on its actual business situation, relying solely on real estate ownership data to verify land ownership information is far from sufficient, as there may be problems such as delays in processing new ownership certificates or failure to register existing ownership certificates. Therefore, this invention focuses on real estate ownership data of land, while simultaneously analyzing its land supply (including land reclamation), land use approval, and land expropriation data to corroborate each other.

[0099] Land ownership refers to the collective right to own land and the rights of possession, use, and income derived from it. In practice, land ownership verification requires clarifying the land use nature (collective or state-owned), the object of ownership, the basis of ownership, and information such as the boundaries and area corresponding to the rights. This invention summarizes the following identification rules by reviewing the rules governing land ownership verification work within the Nansha District Bureau:

[0100] Land use designation:

[0101] Land that meets one of the following conditions will be designated as state-owned land:

[0102] (1) Those that have already obtained approval for state-owned land use in the past;

[0103] (2) Those for which a "State-owned Land Use Certificate" or "Real Estate Ownership Certificate" (State-owned Land Use Right) has already been issued;

[0104] (3) Those for which a "State-owned Construction Land Approval Certificate" has already been issued;

[0105] (4) Mineral resources, watercourses, and sea areas for which approval documents such as state-owned construction use right transfer contracts or allocation decisions have been obtained;

[0106] (5) Natural resources such as forests, mountains, grasslands, wastelands, and tidal flats, except those that are legally designated as collectively owned;

[0107] (6) Infrastructure such as railways, highways, power facilities, telecommunications facilities and oil and gas pipelines.

[0108] Land that meets one of the following conditions will be designated as collectively owned land:

[0109] (1) Those that have been issued a "Collective Land Ownership Certificate", "Collective Construction Land Use Certificate", "Real Estate Ownership Certificate" (collective land ownership, collective construction land use right, homestead use right) or "Forest Rights Certificate";

[0110] (2) Those that have obtained approval for collective construction land use.

[0111] The preferred method for identifying land users includes the following: (1) For land for which a real estate ownership certificate has been issued, the information on the certificate shall prevail; (2) For land for which a government land use approval document has been legally obtained, the approval document shall prevail; (3) For land for which a construction land approval has been obtained and the expropriation has been completed, the identification shall be: no land user (reserved land or usable land); (4) For land for which there is no ownership source document, the expropriation data of the land development center shall be checked to verify the land use situation; (5) If the land user is inconsistent among various approval documents and property certificates, the latest approval document shall prevail.

[0112] like Figure 4 As shown, the present invention also provides a land ownership verification and analysis system based on land management processes, comprising:

[0113] The data aggregation layer is used to obtain various types of land cadastral data related to land ownership through data synchronization interfaces with other platforms, and to collect land cadastral data entered into the population database. After the collected data is stored in the physical database, data quality improvement processing is performed.

[0114] The platform layer is used to view and apply various natural resource data and planning data on the integrated platform of the bureau, which has already built a complete natural resource catalog system and achieved the requirement of "one map" of natural resources.

[0115] The mining and analysis layer is used to perform spatial analysis and spatial coding processing on various types of data related to ownership after pre-operation such as data quality inspection and topology inspection. It also supports the application of correlation analysis and statistical analysis of ownership data within the scope of interest.

[0116] The application layer is used to build application scenarios for ownership verification and ownership map systems based on actual needs. At the same time, the ownership verification and analysis capabilities are packaged into API interfaces to support external calls.

[0117] This invention constructs a property rights data analysis and application platform, divided into four layers: a data aggregation layer, a platform layer, a data mining and analysis layer, and an application layer. In the data aggregation layer, various types of property rights data are accessed by the Nansha District Bureau through a data synchronization interface with the municipal platform; some data also supports population entry. After the data is stored in the entity database, necessary data quality improvement processing is performed according to the Nansha District Bureau's data governance mechanism. In the platform layer, the bureau's integrated platform has constructed a complete natural resource catalog system, achieving the requirement of a "single map" of natural resources. Various types of natural resource data and planning data can be viewed and applied on the same platform. In the data mining and analysis layer, after pre-operations such as data quality inspection and topology checks on various types of property rights data, spatial analysis and spatial coding processing are performed. It also supports applications such as correlation analysis and statistical analysis of property rights data within a scope of interest. In the application layer, based on actual needs, we have constructed multiple application scenarios, including property rights verification and a single property rights map system. We have also packaged property rights verification and analysis capabilities into API interfaces to support external units in calling, sharing applications, and deepening empowerment.

[0118] Compared to the shortcomings of existing technologies that cannot establish effective data relationships on physical data, this invention utilizes data mining and analysis techniques to establish "virtual codes" based on the principles of "spatial consistency" and "temporal chronology," achieving the goal of connecting data throughout the entire lifecycle of each land parcel. By determining which stage of its land use process a specific land parcel is in at the current point in time, and then extracting the method for that stage to the land unit, its land ownership can be accurately determined. Taking Nansha District of Guangzhou City as an example, this paper conducts in-depth analysis of the production and utilization stages of cadastral data, supply data, expropriation data, and approval data. Based on the current data status, it sorts out ownership verification rules and develops an analysis and application platform. Under the premise of achieving accurate determination of land ownership, it effectively identifies data quality problems in each business stage and provides related functions such as ownership verification and "one-map ownership."

[0119] This invention takes Nansha District of Guangzhou City as an example. Through current situation surveys and analysis, it identifies problems such as fragmented business chains, missing data relationships, and non-standard business procedures in the current land management operations. By delving into business departments, it summarizes the "experience" and "skills" of each department in the data application process under the above-mentioned situation, and finally extracts an effective and accurate method for deducing current land ownership conclusions using the principles of "spatial consistency" and "temporal chronology". By applying data mining and analysis techniques, a digital rule base and reasoning base are established to solidify the experience-based methods for land ownership determination; by applying SOA architecture, an analysis and application platform is built to standardize and regulate land ownership determination work. This results in a land ownership determination method that is adapted to the current state of business management and data quality and has high accuracy. A "one-click verification" intelligent auxiliary tool for ownership verification has been developed, as well as a dynamically updated, full-domain "ownership map" to support leadership decision-making.

[0120] This invention conducts in-depth analysis of the production and utilization of land ownership data, supply data, expropriation data, and approval data. Based on the current data status, it outlines ownership verification rules and develops an analysis and application platform. While ensuring accurate determination of land ownership, it effectively identifies data quality issues in various business processes and provides functions such as ownership verification and a unified ownership map. This improves the efficiency and quality of land ownership information identification in all stages of land use planning, land approval, and land expropriation, fully exploring and interpreting the value of data. Conversely, it promotes greater emphasis on the importance of data quality among government departments, contributing to further optimization of data quality. It also enhances the data value of land ownership, land supply, and land approval data as core information in land informatics, providing crucial auxiliary decision-making support for multiple application scenarios in government land management.

[0121] This invention establishes a land ownership data analysis and application platform to provide crucial decision support and shared services for resolving land-related issues. This aims to better understand and utilize land resources, promote their rational allocation, effective protection, and sustainable use, and fully leverage the core data value of land ownership data in land informatics. Addressing existing issues with land ownership data, such as data completeness, accuracy, formatting, and land ownership, the platform constructed in this invention minimizes the negative impact of current data quality problems through in-depth analysis of the current business situation and the application of technical means, enabling the organization and analysis of land ownership data. The platform's cloud-based land viewing, ownership verification, and "one-map ownership" systems significantly facilitate the smooth implementation of land transfer and real estate development projects, as well as the updating and modification of existing land ownership data. This improves the efficiency and workflow of land ownership business processes, while enhancing the analytical and mining capabilities of land resources throughout Nansha District, providing valuable data support for important decision-making. For existing land ownership data, traditional business logic only initiates the review and modification process for erroneous map features when they are involved. However, this platform, through the construction of an information system, achieves improvements by retrospectively influencing existing business processes. By deeply mining and analyzing the data value of property rights data, this platform has brought great social and management decision-making benefits to Nansha New Area.

[0122] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A land ownership verification and analysis method based on land management processes, characterized in that, Includes the following steps: S1. Based on the chronological order of land use, establish multiple data layers with different sorting levels. After associating all the collected original certificate data with the multiple data layers respectively, unify the location coordinates of the original certificate data and their corresponding legal boundaries in the same coordinate system and lay them out on the same plan. Use the land virtual code to link the data in each data layer together and perform business re-sorting to construct standard analysis source data. The original certificate data includes real estate registration data, land supply data, and land use approval data; the land supply data includes data on land that has been reclaimed; the multiple data layers are ordered as a first data layer, a second data layer, and a third data layer. S2. Input the target area to be identified by the red line, retrieve the source data for analysis and perform overlay analysis on the target area, extract the overlay data corresponding to the part of the source data that overlaps with the target area, for plots in the target area with multiple different overlay data, determine the ownership and boundaries of the overlaid plots according to the overlay results of the first data layer or the second data layer with priority in sorting level, and output the overlay cadastral data; Among them, the plots of land in the target area that are not covered by the source data of the analysis are identified as blank ownership land, and the data that delineates the boundaries of the blank ownership land is output as blank ownership data; S3. Use auxiliary analysis data to perform validity analysis on the overlaid land ownership data and the blank ownership data to obtain labeled data; wherein, the auxiliary analysis data includes state-owned land recovery data, collective land expropriation data, forest land management data, and urban renewal scope data; S4. Extract the main information from the original attributes of the overlay land ownership data in step S2, extract the supplementary information from the labeled data in step S3, and then integrate and output the main information and the supplementary information.

2. The land ownership verification and analysis method as described in claim 1, characterized in that, In step S1, data mining and analysis techniques are used to establish virtual land codes for all land parcels within the scope based on the principles of spatial consistency and temporal order. The original land certificate data is then linked together with the virtual land codes to perform full lifecycle data concatenation for each land parcel. The original land certificate data is then reconstructed in time sequence according to the sorting level to construct standard analysis source data with different sorting level layers.

3. The land ownership verification and analysis method as described in claim 2, characterized in that, The data layers include a first data layer, a second data layer, and a third data layer representing different periods of land use, with the first data layer having a higher sorting priority than the second data layer, and the second data layer having a higher sorting priority than the third data layer.

4. The land ownership verification and analysis method as described in claim 3, characterized in that, In step S2, when obtaining the overlay land ownership data for ownership determination, it is determined whether the sorting level of the data layer where the overlay data is located is the top-level data layer. The data layer with the highest priority is used as the top-level data layer, and the overlay data of the top-level data layer is used as the output overlay land ownership data.

5. The land ownership verification and analysis method as described in claim 4, characterized in that, Determining whether the data layer containing the overlay data is the topmost data layer specifically includes the following steps: If you drill down in the business timeline and the top layer is the registration data, then the data in the first data layer will be used as the basis for determining ownership. If drilling down in the business timeline, the top layer is the reclaimed data. Then, the ownership data or supply data of the second data layer is used as the basis for ownership determination. It is also necessary to mark that the certificate or contract has been reclaimed, indicating that the land parcel is actually usable land. Here, the reclaimed data refers to the reclaimed data of state-owned land. If, when drilling down in the business timeline, the top layer is the approval data or land acquisition data, and the corresponding second data layer is the land ownership data, then the data of the second data layer is used as the basis for determining ownership. At the same time, it is marked that the land has actually been acquired or recovered, and whether a land use permit has been obtained.

6. The land ownership verification and analysis method as described in claim 2, characterized in that, Step S2 specifically includes: S201. Prioritize using the real estate registration data in the source data of the analysis to perform overlay analysis on the target area. If there is overlay, capture the corresponding certificate number and right holder information of the overlay real estate registration data as the ownership determination result of the overlay area. Subtract the certificate land plots corresponding to the overlay area within the target area to obtain the first remaining area. S202. Using the data from the construction land approval document, land supply contract, and approved red line in sequence, the first remaining area is further analyzed for overlay, resulting in a second remaining area without any overlay. The plots in the second remaining area are identified as blank ownership land. Among them, the construction land approval document and land supply contract are both land supply data, and the approved red line is usable land.

7. The land ownership verification and analysis method as described in claim 1, characterized in that, Step S3, specifically the validity analysis of the overlay rights data using auxiliary analysis data, includes: S301. Determine whether the overlaid land ownership data is state-owned land that has been recovered or collective land expropriation data. If so, output the matching overlaid land ownership data after supplementary interpretation. If not, output it directly. Obtain the first output data. The main contents of the supplementary interpretation include marking that it has actually been recovered, the ownership is pending cancellation, and each part can be directly used when making land use decisions. S302. Determine whether the overlaid land use data is forest land use right. If so, then the forest land data should be overlaid for further analysis and supplementary interpretation before output. If not, output directly to obtain the second output data. S303. Overlay the data to be supplemented using the urban renewal scope data, determine whether there is any overlap, if there is overlap, supplement the explanation of the overlapped plots and output them, if not, output them directly; obtain the third output data; The first output data, the second output data, and the third output data constitute the labeled data.

8. The land ownership verification and analysis method as described in claim 7, characterized in that, In step S4, when determining the ownership of land, the main information includes the land use nature and the land use unit. The land use unit includes the object to which the right belongs, the basis of ownership, the boundary corresponding to the ownership, and the area. The land use nature includes state-owned land and collectively owned land.

9. The land ownership verification and analysis method as described in claim 8, characterized in that, The rights belong to the land-using unit, and the land-using unit is determined by identifying the land-using unit.

10. A land ownership verification and analysis system based on land management processes, characterized in that... ,include: The data aggregation layer is used to obtain various types of land cadastral data related to land ownership through data synchronization interfaces with other platforms, and to collect land cadastral data entered into the population database. After the collected data is stored in the physical database, data quality improvement processing is performed. The platform layer is used to view and apply various natural resource data and planning data on the integrated platform of the bureau, which has already built a complete natural resource catalog system and achieved the requirement of "one map" of natural resources. The mining and analysis layer is used to perform spatial analysis and spatial coding processing on various types of data related to ownership after pre-operation such as data quality inspection and topology inspection. It also supports the application of correlation analysis and statistical analysis of ownership data within the scope of interest. The application layer is used to build application scenarios for ownership verification and ownership map systems based on actual needs. At the same time, the ownership verification and analysis capabilities are packaged into API interfaces to support external calls.

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