A real estate registration data quality checking method and device

Abstract

The application discloses a real estate registration data quality inspection method and device, and relates to the field of real estate registration data quality inspection. The method comprises the following steps: inputting attribute data in real estate registration data into a preset real estate registration attribute data quality inspection model to obtain first target data output by the real estate registration attribute data quality inspection model; inputting spatial data in the real estate registration data into a preset real estate registration spatial data quality inspection model to obtain second target data output by the real estate registration spatial data quality inspection model; inputting the real estate registration data into a preset real estate registration data map file inspection model to obtain third target data output by the real estate registration data map file inspection model; and checking a quality index of the real estate registration data according to the first target data, the second target data and the third target data. The embodiment of the application can improve the quality of real estate registration data through inspection.

Description

Technical Field

[0001] This invention relates to the field of data, and more particularly to a method and device for checking the quality of real estate registration data. Background Technology

[0002] Real estate registration data is the foundation for unified real estate registration. Currently, real estate registration data typically originates from multiple sources, leading to inconsistent quality control standards and making it difficult to guarantee the quality of the data. Existing technologies usually focus on a specific type of real estate registration data and conduct quality checks on that type. Therefore, current quality checks for real estate registration data are insufficient and do not comprehensively consider multiple data types. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a method and apparatus for quality inspection of real estate registration data. By conducting quality inspections on attributes, spatial aspects, and map files within the real estate registration data, and integrating the inspection results from all aspects, a comprehensive inspection result of the real estate registration data is obtained, thereby improving the quality of the real estate registration data.

[0004] To achieve the above objectives, embodiments of the present invention provide a method for checking the quality of real estate registration data, including:

[0005] The attribute data in the real estate registration data is input into the preset real estate registration attribute data quality inspection model to obtain the first target data output by the real estate registration attribute data quality inspection model;

[0006] The spatial data in the real estate registration data is input into a preset real estate registration spatial data quality inspection model to obtain the second target data output by the real estate registration spatial data quality inspection model;

[0007] The real estate registration data is input into a preset real estate registration data map document inspection model to obtain the third target data output by the real estate registration data map document inspection model;

[0008] Based on the first target data, the second target data, and the third target data, check the quality indicators of the real estate registration data.

[0009] Furthermore, the real estate registration attribute data quality inspection model includes an attribute logical association inspection unit and an attribute field inspection unit. The step of inputting attribute data from the real estate registration data into the preset real estate registration attribute data quality inspection model to obtain the first target data output by the model specifically includes: performing attribute logical association quality inspection processing on the attribute data through the attribute logical association inspection unit; wherein, the attribute logical association quality inspection processing includes checking the uniqueness, reasonableness, and consistency of the association between the principal property rights, other rights, and the rights holder; calculating the degree of difference between the attribute data and the preset target requirement data through the attribute field inspection unit, and performing standard specification requirement quality inspection processing on the attribute values ​​of the attribute data based on the degree of difference; wherein, the standard specification requirement quality inspection processing includes mandatory attribute checks and attribute limitation range checks; and, based on the results of the logical association quality inspection processing and the results of the standard specification requirement quality inspection processing, causing the real estate registration attribute data quality inspection model to output the first target data.

[0010] Furthermore, the real estate registration spatial data quality inspection model includes a spatial logical association inspection unit, a graphic overlay inspection unit, a spatial graphic inspection unit, and a building list inspection unit. Therefore, the step of inputting the spatial data from the real estate registration data into the preset real estate registration spatial data quality inspection model to obtain the second target data output by the real estate registration spatial data quality inspection model specifically includes: performing spatial logical association quality inspection processing on the spatial data through the spatial logical association inspection unit; wherein, the spatial logical association quality inspection processing includes checking the association between land parcels, natural buildings, logical buildings, floors, and units; and performing graphic overlay quality inspection processing on the spatial data through the graphic overlay inspection unit according to preset graphic overlay rules. The system checks the topology and location of graphics in the spatial data; performs spatial graphics inspection processing on the spatial data through the spatial graphics inspection unit; wherein, the spatial inspection processing includes consistency checks of graphic boundary points, boundary lines and spatial attributes; performs building list inspection processing on the spatial data through the building list inspection unit; wherein, the building list inspection processing includes using the online contract signing of real estate transactions as a verification factor to verify the rationality of the building list division in the spatial data; based on the results of the spatial logical association quality inspection processing, the results of the graphics overlay quality inspection processing, the results of the spatial graphics inspection processing and the results of the building list inspection processing, the real estate registration spatial data quality inspection model outputs second target data.

[0011] Furthermore, the step of inputting the real estate registration data into a preset real estate registration data map-attribute-file inspection model to obtain the third target data output by the real estate registration data map-attribute-file inspection model specifically includes: calculating the correlation degree between graphics, attributes, and files in the real estate registration data through the real estate registration data map-attribute-file inspection model to obtain a map-attribute-file correlation degree matrix, so that the real estate registration data map-attribute-file inspection model outputs the third target data based on the map-attribute-file correlation degree matrix.

[0012] Furthermore, the attribute logic association quality inspection process includes checking the uniqueness, reasonableness, and consistency of the association between the principal property rights, other rights, and the right holder. Specifically, it includes: based on the land property rights identifier, house property rights identifier, seizure registration identifier, pre-registration identifier, mortgage registration identifier, and right holder identifier in the attribute data, concatenating them to obtain the principal property rights attribute table, other rights attribute table, and right holder attribute table, and checking the uniqueness, reasonableness, and consistency of the association between the principal property rights attribute table, other rights attribute table, and right holder attribute table.

[0013] Furthermore, the spatial logical association quality inspection process includes checking the association between land parcels, natural buildings, logical buildings, floors, and households. Specifically, this includes: performing spatial concatenation processing on land parcels, natural buildings, logical buildings, floors, and households based on the land parcel code, natural building number, logical building number, floor number, and household number in the spatial data; performing spatial field consistency matching processing on the land location, building location, land area, and building base area in the spatial data; and checking the association between land parcels, natural buildings, logical buildings, floors, and households based on the results of the spatial concatenation processing, the results of the spatial field consistency matching processing, and preset spatial location rules. The spatial location rules include the relative relationship between the graphic representation of the natural building and the graphic representation of the land parcel.

[0014] Furthermore, the step of performing graphic overlay quality inspection on the spatial data specifically includes: performing graphic overlay quality inspection on the graphics in the spatial data using overlay analysis.

[0015] Furthermore, the graphic overlay rule includes: when the edges of several closed graphics intersect each other, and there is a common area between the closed graphics, and the area of ​​the common area is greater than a preset area threshold, it is determined that there is an overlay between the closed graphics.

[0016] Furthermore, the method for setting the area threshold includes: setting the range of values ​​for the area threshold based on preset real estate surveying error requirements and the type and area of ​​the closed shape.

[0017] This invention also provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the steps of the real estate registration data quality inspection method described in any of the preceding claims.

[0018] In summary, the present invention has the following beneficial effects:

[0019] By employing the embodiments of the present invention, the quality of real estate registration data can be improved through inspection, thereby constructing complete and accurate real estate registration data and corresponding property rights data. This will help build advanced real estate registration government service capabilities, provide a good foundation for new government services such as "blockchain + real estate registration" and "Internet + real estate registration", improve the approval efficiency of real estate registration, and promote the optimization of the business environment. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating an embodiment of a method for checking the quality of real estate registration data provided by the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] See Figure 1 This is a flowchart illustrating an embodiment of the real estate registration data quality inspection method provided by the present invention. The method includes steps S1 to S4, as follows:

[0023] S1, Input the attribute data in the real estate registration data into the preset real estate registration attribute data quality inspection model to obtain the first target data output by the real estate registration attribute data quality inspection model;

[0024] Preferably, the real estate registration attribute data quality inspection model includes an attribute logical association inspection unit and an attribute field inspection unit. Therefore, the step of inputting attribute data from the real estate registration data into the preset real estate registration attribute data quality inspection model to obtain the first target data output by the real estate registration attribute data quality inspection model specifically includes: performing attribute logical association quality inspection processing on the attribute data through the attribute logical association inspection unit; wherein, the attribute logical association quality inspection processing includes checking the uniqueness, reasonableness, and consistency of the association between the principal property rights, other rights, and the rights holder; calculating the degree of difference between the attribute data and the preset target requirement data through the attribute field inspection unit, and performing standard specification requirement quality inspection processing on the attribute values ​​of the attribute data based on the degree of difference; wherein, the standard specification requirement quality inspection processing includes mandatory attribute checks and attribute limitation range checks; and, based on the results of the logical association quality inspection processing and the results of the standard specification requirement quality inspection processing, causing the real estate registration attribute data quality inspection model to output the first target data.

[0025] As an improvement to the above scheme, the attribute logic association quality inspection process includes checking the uniqueness, reasonableness, and consistency of the association between the principal property rights, other rights, and the right holder. Specifically, it includes: based on the land property rights identifier, house property rights identifier, seizure registration identifier, pre-registration identifier, mortgage registration identifier, and right holder identifier in the attribute data, concatenating them to obtain the principal property rights attribute table, other rights attribute table, and right holder attribute table, and checking the uniqueness, reasonableness, and consistency of the association between the principal property rights attribute table, other rights attribute table, and right holder attribute table.

[0026] For example, in step S1:

[0027] A quality inspection model for real estate registration attribute data is constructed to conduct quality checks on the logical relationships between land ownership, housing ownership, seizure registration, preliminary registration, mortgage registration, and right holders in real estate registration data. Through training with multiple sample results, the model identifies types of data relationships with a high probability of anomalies. Then, it focuses on detecting error types with a high probability of anomalies to obtain real estate registration attribute data that demonstrates the uniqueness, rationality, and consistency of the relationship between "main property rights - other rights - right holders".

[0028] The correlation of attribute data in real estate registration is checked, and the correlation check includes three aspects:

[0029] The connection between the principal property right and the right holder: the right to use construction land and homestead land is linked to the right holder; the land ownership registration is linked to the right holder list; the preliminary registration is linked to the right holder list.

[0030] The connection between other rights and the right holder: the connection between mortgage registration and the right holder; the connection between preliminary registration and the right holder; the connection between objection registration and the right holder; whether the right holder's business number can be linked to the subject.

[0031] The relationship between principal property rights and other rights: the relationship between mortgage registration and construction land use rights, land ownership / building ownership; the relationship between land seizure registration and construction land use rights; the relationship between continued seizure and seizure registration.

[0032] In the process of analyzing existing electronic archive registration data, for those registration information with clear relationships between registration units, rights, registration business, right holders, and certificates, the uniqueness and validity of these relationships are analyzed. Furthermore, the registration information such as registration units, rights, registration business, and right holders are linked together, and the correctness of these relationships is analyzed.

[0033] The data correlation analysis of the registration system can be divided into the following two cases:

[0034] (1) For those without a clear relationship between registration attribute information, compare information such as location, right holder, certificate number, and business number to determine whether a relationship can be effectively established between registration attribute information. If a relationship can be established, the registration attribute information is linked and connected, and the relationship is analyzed and verified to be correct. If a relationship cannot be established, it is marked and entered into the database first, and then supplemented and linked later.

[0035] (2) For registration results data that cannot be matched in batches with electronic archives, the relationship between individual cases and existing electronic archive registration data results can be established during the governance process by using information such as the right holder, certificate number, and location in the registration data such as the register. It can be determined whether it can be matched and associated with existing electronic archive registration data results. If it is duplicate data, it needs to be marked and removed. If it is historical data, the relationship between historical data and current data should be determined and marked to facilitate information supplementation.

[0036] also:

[0037] Based on the real estate registration attribute data quality inspection model, and based on the preset real estate registration attribute field requirements, the real estate registration attribute data is input into the real estate registration attribute data quality inspection model. The difference between the real estate registration attribute data and the target requirements is calculated. Through the analysis of the difference, the mandatory attributes and attribute restriction range of the real estate registration attribute data are checked to ensure that the attribute values ​​of each attribute data meet the standard specifications.

[0038] The inspection of the standardization of real estate attributes includes the following four aspects:

[0039] Field structure integrity: The data table must be complete and the attribute fields must meet the requirements. If there is no information in the standard specification, the table must be empty, and the attribute structure must not conflict with the standard specification.

[0040] Consistency of attribute data structure: In the attribute structure table of the database, the definition of attribute items should be consistent with the standard specification. The description of required attribute items should adopt the description of the standard specification. Appropriate extensions are allowed, but there should be no conflicts.

[0041] Data consistency: Attribute items with clear naming rules, encoding rules, and data dictionaries should strictly follow the encoding method to maintain semantic consistency in encoding, and ensure that the real estate ID corresponds one-to-one with the real estate unit number.

[0042] Numerical range compliance: The value range of attribute items should comply with the relevant value range requirements in the standard specifications. This includes checking the attribute field value range, whether required fields are empty, the compliance of feature codes, the real estate unit number, and the validity of ID card numbers.

[0043] S2, input the spatial data in the real estate registration data into the preset real estate registration spatial data quality inspection model to obtain the second target data output by the real estate registration spatial data quality inspection model;

[0044] Preferably, the real estate registration spatial data quality inspection model includes a spatial logical association inspection unit, a graphic overlay inspection unit, a spatial graphic inspection unit, and a building list inspection unit; then, the step of inputting the spatial data in the real estate registration data into the preset real estate registration spatial data quality inspection model to obtain the second target data output by the real estate registration spatial data quality inspection model specifically includes: performing spatial logical association quality inspection processing on the spatial data through the spatial logical association inspection unit; wherein, the spatial logical association quality inspection processing includes checking the association between land parcels, natural buildings, logical buildings, floors, and units; and performing graphic overlay quality inspection processing on the spatial data through the graphic overlay inspection unit according to preset graphic overlay rules. The system checks the topology and location of graphics in the spatial data; performs spatial graphics inspection processing on the spatial data through the spatial graphics inspection unit; wherein, the spatial inspection processing includes consistency checks of graphic boundary points, boundary lines and spatial attributes; performs building list inspection processing on the spatial data through the building list inspection unit; wherein, the building list inspection processing includes using the online contract signing of real estate transactions as a verification factor to verify the rationality of the building list division in the spatial data; based on the results of the spatial logical association quality inspection processing, the results of the graphics overlay quality inspection processing, the results of the spatial graphics inspection processing and the results of the building list inspection processing, the real estate registration spatial data quality inspection model outputs second target data.

[0045] As an improvement to the above scheme, the spatial logical association quality inspection process includes checking the association between land parcels, natural buildings, logical buildings, floors, and households. Specifically, it includes: performing spatial concatenation processing on land parcels, natural buildings, logical buildings, floors, and households based on the land parcel code, natural building number, logical building number, floor number, and household number in the spatial data; performing spatial field consistency matching processing on the land location, building location, land area, and building base area in the spatial data; and checking the association between land parcels, natural buildings, logical buildings, floors, and households based on the results of the spatial concatenation processing, the results of the spatial field consistency matching processing, and preset spatial location rules; wherein, the spatial location rules include the relative relationship between the graphic of the natural building and the graphic of the land parcel.

[0046] As an improvement to the above solution, the step of performing graphic overlay quality inspection on the spatial data specifically includes: using overlay analysis to perform graphic overlay quality inspection on the graphics in the spatial data.

[0047] As an improvement to the above scheme, the graphic overlay rule includes: when the edges of several closed graphics intersect each other, and there is a common area between the closed graphics, and the area of ​​the common area is greater than a preset area threshold, it is determined that there is an overlay between the closed graphics.

[0048] As an improvement to the above scheme, the method for setting the area threshold includes: setting the range of values ​​for the area threshold according to the preset real estate surveying error requirements and the type and area of ​​the closed shape.

[0049] For example, in step S2:

[0050] A quality inspection model for spatial data of real estate registration is constructed. The logical relationship between spatial data of real estate registration is preset. The spatial data of real estate registration is input into the quality inspection model. The model is used to check the quality of the logical relationship between the spatial attributes of real estate registration, such as land parcel, natural building, logical building, floor, and household, through a unique ID. The spatial graphics of land parcel and natural building are used as verification factors. Combined with the spatial location relationship, the model ensures that the "land-building-house" relationship is correctly associated without duplication or omission.

[0051] Check whether the relationship between the building and the land parcel is correct, whether the source of ownership of the land parcel is consistent with the source of ownership in the house file, and use the files of the land parcel and the house to verify whether the rights holder of the house in the first registration is consistent with the rights of the land parcel. Verify whether the land parcel information in the first registration of the house, including the land certificate, land parcel map or planning map, is consistent with the information of the land parcel.

[0052] Check whether the land parcel, natural building, logical building, floor, and household can be as a whole associated through the land parcel code, natural building number, logical building number, floor number, and household number. Ensure that each household has a corresponding floor, each floor has a corresponding logical building, each logical building has a corresponding natural building, and each natural building has a corresponding land parcel. Also, ensure that the relationship between household and floor, floor and logical building, logical building and natural building, and natural building and land parcel is multiple / one-to-one, rather than one-to-multiple.

[0053] The connection between land spatial data and natural building spatial data is mainly established through the spatial relationship between land parcel and natural building graphic data. For natural building graphic data that has already been assigned to a parcel, it is only necessary to verify whether the relationship between the natural building and the land parcel is accurate. For natural building graphic data that has not yet been assigned to a parcel, the relationship between the natural building and the land parcel is analyzed through registration archives, property rights survey materials, and remote sensing image interpretation. For parts of the natural building graphic data that are missing land parcel graphic data, they need to be marked, and the natural building should be assigned to a parcel after the land parcel graphic is vectorized to establish the connection between the natural building and the land parcel.

[0054] The correlation analysis between land and real estate non-spatial data can be divided into the following categories:

[0055] (1) For existing electronic archive registration results data and data that can accurately locate the relationship between land and property registration attribute information through the relationship between land parcel graphics and natural building graphics data, it is only necessary to link the natural building attribute data and land attribute data through spatial relationship and verify the accuracy of the relationship between land and property registration attribute information.

[0056] (2) For existing electronic archive registration results data but land and property registration attribute information that cannot be associated through graphics, the location, right holder, certificate number, etc. can be used to determine whether an association can be established between land and property registration attribute information. For those that can be accurately associated, the accuracy of the association needs to be verified. For those that cannot be automatically associated or have missing key information, they should be marked and the information should be supplemented by the archive materials used in the integration and governance process.

[0057] (3) For those without electronic archive registration results data, analyze the land certificate number, right holder, location, parcel number, house number and other information in the land archive and real estate archive to determine whether the relationship between the land and real estate registration archives can be established. If it can be established, do a good job of matching the relationship between the two to facilitate the information supplementation in the later stage. If the relationship cannot be established, mark it and gradually digest it in the later process of handling the case to establish the relationship between the two.

[0058] Based on the spatial data quality inspection model for real estate registration, rules for graphic overlay between different types of graphics are formulated, including overlay within the same type of graphics and overlay between different types of graphics. The spatial graphic data of real estate registration is input into the spatial data quality inspection model for real estate registration to conduct quality inspection on the graphic overlay of the spatial data of real estate registration, so as to ensure the topological correctness and positional accuracy of the spatial data of real estate registration.

[0059] Based on the types of spatial data for real estate registration, rules for overlaying land parcel and building graphics are formulated, specifically including two aspects:

[0060] The following rules govern the self-intersection of spatial data: elements within a collective land ownership parcel are non-intersecting and closed; elements within a construction land use right parcel (surface) are non-intersecting and closed; elements within a construction land use right parcel (above ground) are non-intersecting and closed; elements within a construction land use right parcel (underground) are non-intersecting and closed; elements within a land contract management right parcel (cultivated land) are non-intersecting and closed; elements within a land contract management right parcel (forest land) are non-intersecting and closed; elements within a land contract management right parcel (grassland) are non-intersecting and closed; elements within a homestead land use right parcel are non-intersecting and closed; elements within a sea parcel are non-intersecting and closed; elements within a natural building layer are non-intersecting and closed; elements within a state-owned agricultural land use right parcel are non-intersecting and closed; elements within a land use right parcel are non-intersecting and closed; and elements within a sea parcel are non-intersecting and closed.

[0061] Rules for overlapping and overlaying of internal graphics in similar spatial data: whether there is overlap in land contract management right parcel elements, whether there is overlap in construction land use right parcel (surface) elements, whether there is overlap in construction land use right parcel (above ground) elements, whether there is overlap in construction land use right parcel (underground) elements, whether there is overlap in collective land ownership parcel elements, whether there is overlap in homestead use right parcel elements, and whether there is overlap in natural building layer elements.

[0062] Graphical rules between different types of spatial data: Natural buildings must be within the land parcel (surface) of construction land use right or homestead land use right; homestead land use right parcel and construction land use right parcel cannot overlap; homestead land use right parcel must be within the scope of collective land ownership parcel; construction land use right and homestead land use right cannot overlap; state-owned construction land use right and collective land ownership cannot overlap.

[0063] Based on the spatial data quality inspection model for real estate registration, inspection rules for spatial attribute data and building lists for real estate registration are preset. The boundary points and boundary lines of the spatial graphics are used as verification factors to verify the consistency between the boundary points and boundary lines of the spatial graphics and the spatial attributes. The online signed building lists of real estate transactions are used as verification factors to verify the rationality of the building list division and ensure that the logical division of buildings, floors and units in the building list is reasonable and correct.

[0064] The building inventory list needs to establish a complete and logically clear structure. The key is to establish correct logical relationships between individual buildings and their corresponding buildings, while also correctly identifying logical buildings and floors. During the data analysis of the building inventory list, for buildings with clear relationships between them, the uniqueness, validity, and repetition of these relationships must be analyzed. The entire building inventory list data needs to be linked to the corresponding building, and the correctness of these relationships must be checked.

[0065] For cases where there is no clear relationship between a housing unit and a building, the ability to establish a valid relationship between the building list and the building can be determined by comparing information such as the location and rights holder of the natural building. Based on housing registration data, property rights survey materials, and paper building lists provided by developers, information such as the project name, location, and rights holder of the housing is extracted and compared with relevant fields in the building attribute information to determine whether a relationship between the housing unit and the building can be established.

[0066] S3, input the real estate registration data into the preset real estate registration data map document inspection model to obtain the third target data output by the real estate registration data map document inspection model;

[0067] Preferably, the step of inputting the real estate registration data into a preset real estate registration data map-attribute-file inspection model to obtain the third target data output by the real estate registration data map-attribute-file inspection model specifically includes: calculating the correlation degree between graphics, attributes and files in the real estate registration data through the real estate registration data map-attribute-file inspection model to obtain a map-attribute-file correlation degree matrix, so that the real estate registration data map-attribute-file inspection model outputs the third target data according to the map-attribute-file correlation degree matrix.

[0068] For example, an integrated inspection model for real estate registration data (graphics, attributes, and files) is constructed. The correlation between real estate registration graphics, attributes, and files is calculated to obtain a correlation matrix of real estate registration graphics-attributes-files. The correlation between graphics, attributes, and files of real estate registration data is checked to ensure that the "graphics-attributes-files" association of real estate registration data is unique and correct.

[0069] Check whether the relationships between land parcel and building spatial data and business attribute data are complete, whether the relationships between graphics and business attributes are correct, and whether the relationships between business attributes and archives are correct. Analyze the relationships between graphics, business attributes, and archive data to determine how much graphic data cannot be associated with attribute / archive information and how much attribute data is missing from graphics / archives. By comparing the relationships between spatial graphic data, attribute data, and archive data, determine the consistency between spatial entities and their associated attribute content to assess the correctness of spatial entities and attribute content.

[0070] S4. Based on the first target data, the second target data, and the third target data, check the quality indicators of the real estate registration data.

[0071] It should be noted that the first target data represents the quality of the attribute data in the real estate registration data, the second target data represents the quality of the spatial data in the real estate registration data, and the third target data represents the quality of the map-attribute correlation in the real estate registration data. Thus, the first target data, the second target data, and the third target data are combined to comprehensively check the quality indicators of the real estate registration data.

[0072] This invention also provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the steps of the real estate registration data quality inspection method described in any of the preceding claims.

[0073] The computer device in this embodiment includes a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a real estate registration data quality inspection program. When the processor executes the computer program, it implements the steps in the various real estate registration data quality inspection method embodiments described above, for example... Figure 1 Steps S1 to S4 are shown.

[0074] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the computer device.

[0075] The computer device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device may include, but is not limited to, a processor and memory.

[0076] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the computer device, connecting various parts of the computer device via various interfaces and lines.

[0077] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0078] Wherein, if the modules / units integrated into the computer device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0079] In summary, the present invention has the following beneficial effects:

[0080] By employing the embodiments of the present invention, the quality of real estate registration data can be improved through inspection, thereby constructing complete and accurate real estate registration data and corresponding property rights data. This will help build advanced real estate registration government service capabilities, provide a good foundation for new government services such as "blockchain + real estate registration" and "Internet + real estate registration", improve the approval efficiency of real estate registration, and promote the optimization of the business environment.

[0081] Through the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software plus necessary hardware platforms, and of course, it can also be implemented entirely by hardware. Based on this understanding, all or part of the technical solution of the present invention that contributes to the background art can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of the present invention.

[0082] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for checking the quality of real estate registration data, characterized in that, include: The attribute data in the real estate registration data is input into the preset real estate registration attribute data quality inspection model to obtain the first target data output by the real estate registration attribute data quality inspection model; The spatial data in the real estate registration data is input into a preset real estate registration spatial data quality inspection model to obtain the second target data output by the real estate registration spatial data quality inspection model; The real estate registration data is input into a preset real estate registration data map document inspection model to obtain the third target data output by the real estate registration data map document inspection model. Based on the first target data, the second target data, and the third target data, check the quality indicators of the real estate registration data; Specifically, the step of inputting the real estate registration data into a preset real estate registration data map-attribute-file inspection model to obtain the third target data output by the real estate registration data map-attribute-file inspection model includes: calculating the correlation degree between graphics, attributes, and files in the real estate registration data through the real estate registration data map-attribute-file inspection model to obtain a map-attribute-file correlation degree matrix, so that the real estate registration data map-attribute-file inspection model outputs the third target data based on the map-attribute-file correlation degree matrix.

2. The method for checking the quality of real estate registration data as described in claim 1, characterized in that, The real estate registration attribute data quality inspection model includes an attribute logical association inspection unit and an attribute field inspection unit; Then, the step of inputting the attribute data from the real estate registration data into a preset real estate registration attribute data quality inspection model to obtain the first target data output by the real estate registration attribute data quality inspection model specifically includes: The attribute logical association checking unit performs attribute logical association quality inspection on the attribute data; wherein, the attribute logical association quality inspection includes checking the uniqueness, rationality and consistency of the association between the main property rights, other rights and the right holders; The attribute field inspection unit calculates the difference between the attribute data and the preset target requirement data, and performs standard specification quality inspection on the attribute values ​​of the attribute data based on the difference; wherein, the standard specification quality inspection includes mandatory attribute inspection and attribute limitation range inspection. Based on the results of the logical association quality inspection and the results of the standard specification requirements quality inspection, the real estate registration attribute data quality inspection model outputs the first target data.

3. The method for checking the quality of real estate registration data as described in claim 1, characterized in that, The real estate registration spatial data quality inspection model includes a spatial logical association inspection unit, a graphic overlay inspection unit, a spatial graphic inspection unit, and a building list inspection unit. Then, the step of inputting the spatial data from the real estate registration data into a preset real estate registration spatial data quality inspection model to obtain the second target data output by the real estate registration spatial data quality inspection model specifically includes: The spatial logical association inspection unit performs spatial logical association quality inspection on the spatial data; wherein, the spatial logical association quality inspection includes checking the association between land parcels, natural buildings, logical buildings, floors, and households; The graphic overlay inspection unit performs graphic overlay quality inspection on the spatial data according to preset graphic overlay rules, in order to check the topology and position of the graphics in the spatial data. The spatial data is subjected to spatial graphic inspection processing by the spatial graphic inspection unit; wherein, the spatial graphic inspection processing includes consistency checks of graphic boundary points, boundary lines and spatial attributes; The spatial data is processed by the property listing check unit; wherein the property listing check process includes using the online contract signing property listings as a verification factor to verify the rationality of the property listing division in the spatial data. Based on the results of the spatial logical association quality inspection, the results of the graphic overlay quality inspection, the results of the spatial graphic inspection, and the results of the building list inspection, the real estate registration spatial data quality inspection model outputs the second target data.

4. The method for checking the quality of real estate registration data as described in claim 2, characterized in that, The attribute logic association quality inspection process includes checking the uniqueness, reasonableness, and consistency of the association between the principal property rights, other rights, and the rights holders, specifically including: Based on the land ownership identifier, house ownership identifier, seizure registration identifier, preliminary registration identifier, mortgage registration identifier, and right holder identifier in the attribute data, the main property rights attribute table, the other rights attribute table, and the right holder attribute table are obtained by connecting them together. The uniqueness, reasonableness, and consistency of the association between the main property rights attribute table, the other rights attribute table, and the right holder attribute table are then checked.

5. The method for checking the quality of real estate registration data as described in claim 3, characterized in that, The spatial logical association quality inspection process includes checking the associations between land parcels, natural buildings, logical buildings, floors, and households, specifically including: Based on the land parcel code, natural building number, logical building number, floor number, and household number in the spatial data, spatial concatenation processing is performed on the land parcel, natural building, logical building, floor, and household; Spatial field consistency matching is performed based on the land location, building location, land area, and building footprint area in the spatial data. Based on the results of the spatial serialization process, the results of the spatial field consistency matching process, and the preset spatial location rules, the correlation between the land parcel, natural building, logical building, floor, and household is checked; wherein, the spatial location rules include the relative relationship between the graphic of the natural building and the graphic of the land parcel.

6. The method for checking the quality of real estate registration data as described in claim 3, characterized in that, The graphic overlay quality inspection process for the spatial data specifically includes: Overlay analysis is used to perform graphic overlay quality inspection on the graphics in the spatial data.

7. The method for checking the quality of real estate registration data as described in claim 3, characterized in that, The graphic overlay rules include: When the edges of several closed shapes intersect each other, and there is a common area between the closed shapes, and the area of ​​the common area is greater than a preset area threshold, it is determined that there is an overlap between the closed shapes.

8. The method for checking the quality of real estate registration data as described in claim 7, characterized in that, The method for setting the area threshold includes: Based on the preset real estate surveying error requirements and the type and area of ​​the closed shape, the range of values ​​for the area threshold is set.

9. A computer device, characterized in that, The system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the real estate registration data quality inspection method as described in any one of claims 1 to 8.

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