Land intelligent management system and method based on land digital identity coding

Abstract

The application provides a land intelligent management system and method based on land digital identity coding, comprising the following steps: S1. Constructing land digital identity coding and a two-dimensional digital graphic code according to the foundation materials in a construction project; S2. Extracting the land two-dimensional digital graphic code based on the business data in the construction project to match the land business type and trigger the land project approval process; S3. Extracting the land two-dimensional digital graphic code and the corresponding approved construction project materials based on the triggered land project approval process, and judging whether the current construction project stage planning requirement is met; S4. Extracting the land two-dimensional digital graphic code to identify the land ownership related business process of the construction project, and outputting all data information of the land in the construction project life cycle; and S5. Extracting the land two-dimensional digital graphic code, identifying all lands meeting the conditions, analyzing the foundation supporting facilities of the land, and generating a land utilization evaluation report. The application realizes the digitization and collaboration of land government management business by giving the land a unique digital identity code.

Description

Technical Field

[0001] This invention relates to the field of digital management of natural resources and governance of national land space, and in particular to a land intelligent management system and method based on land digital identity coding. Background Technology

[0002] Despite the advanced development of digital, information, geographic, digital twin, and artificial intelligence big data technologies, the digital transformation of traditional land management models still faces systemic bottlenecks, including data fragmentation, business silos, lagging supervision, and insufficient services, all centered around land coding. Existing land management systems often employ independent coding methods based on administrative divisions and plot numbers. For example, some systems use only cadastral numbers as plot identifiers. This coding method uses planning plot numbers in the planning stage, approval project numbers in the approval stage, and real estate unit numbers in the registration stage, with each stage's coding being independent and unrelated. Furthermore, while some existing land coding systems (such as those based on cadastral districts and sub-districts) can uniquely identify the spatial location of plots, they lack the ability to integrate dynamic information about construction projects, failing to achieve full lifecycle tracking and management of land. Specifically, there are no corresponding efficient solutions or application software.

[0003] Land management involves multiple stages, including planning, approval, supply, and registration. Data from each stage is scattered across different business systems, using independent coding rules. This results in multiple fragmented business codes for the same plot of land throughout its lifecycle, making them impossible to link together. These systems are not interconnected, data is not shared, and cross-departmental approvals require duplicate submissions of materials. Construction project approvals necessitate multiple entries of the same data, requiring businesses to make numerous trips, which is time-consuming and labor-intensive. Post-certification supervision is weak, relying on manual inspections and static data, making it difficult to promptly detect land violations, approved but not supplied land, and idle land issues. For the public, key data such as land ownership and planning conditions have low transparency, making it difficult to easily obtain comprehensive information about plots. To further standardize the digital management of natural resources and the governance of national land space, it is crucial to overcome technological bottlenecks, achieve business collaboration, and improve the efficiency of government approvals during digital transformation.

[0004] The development of various new technologies provides support for solving pain points. There is an urgent need to break through the core bottleneck of land coding, establish a unified and standardized coding system, realize business collaboration and data sharing, and promote the modernization of land and space governance. Summary of the Invention

[0005] To address the technical problems existing in current technologies, this invention provides a land intelligent management system and method based on land digital identity coding. This method utilizes digital technology, information technology, geographic information technology, urban digital twin technology, and artificial intelligence large-scale model technology to focus on the full life-cycle management of land resources and intelligent assessment and analysis of land use, providing technical support for improving urban governance. The core of this invention is to optimize and reconstruct land management processes by assigning a unique digital identity code to each land plot, achieving digitalization of land management operations, collaborative administrative approvals, and intelligent land supervision—an innovative management method. More importantly, this invention uses standardized and unified coding to connect the entire natural resource administrative approval process, integrate various departments and business systems, achieve data sharing and efficient collaboration across business processes, intelligently analyze and statistically analyze land use, and generate assessment reports, significantly reducing the burden on enterprises, shortening the approval cycle for management departments, strengthening land use monitoring, and accelerating project implementation.

[0006] To address the problems existing in the prior art, the present invention adopts the following technical solution: A land intelligent management method based on land digital identity coding includes: S1. Construct a two-dimensional digital graphic code for the land based on the basic materials used in the construction project; where: S11. Select basic spatial data of natural resources: land spatial planning data, administrative division data, cadastral area data, cadastral sub-area data, land use nature, and land use compatibility to generate basic codes for construction projects; S12. Generate the sub-code of the construction project by establishing the spatial relationship between the spatial coordinates of the construction project's land use area and the land parcels in the national land spatial planning; S13. Obtain the static code of the construction project based on the combination of the basic code and the sub-code of the construction project; that is: in: This serves as the basic code for the construction project. For the subcode of project P; For construction projects; S14. Obtain the dynamic code of the construction project by combining the project development and reform commission approval code, the approval item stage code, and the land registration real estate unit number of the construction project; that is: in: This is the National Development and Reform Commission (NDRC) approval code for project P. This is the current approval stage code for project P. This refers to the real estate unit number of construction project P; S15. Generate a land identification code based on the project's static code and dynamic code; the land identification code includes the project's dynamic code. The land identification code is updated in real time according to the stage of the approval process; the dynamic code of the construction project in the land identification code. , The approval process is completed and a fixed code is assigned. S16. Obtain a two-dimensional digital graphic code for land by processing the land identity coding through a graphic code algorithm; S2. Based on the business data in the construction project, extract the corresponding serial number of the two-dimensional digital graphic code of the land, match the land business type, and trigger the land project approval process; S3. Based on the land project approval process, extract the corresponding serial number of the land's two-dimensional digital graphic code to approve whether the pre-approval materials for the construction project meet the approval requirements of the current construction project stage; S4. Extract the corresponding serial number of the two-dimensional digital graphic code of the land to identify all relevant business processes of the land where the construction project is located and output all data information of the land during the life cycle of the construction project; S5. Extract the corresponding serial number of the two-dimensional digital graphic code of the land to identify all land that meets the spatial conditions of the construction project, count the land supply, reserves, stock and supporting infrastructure, and generate a land use assessment report.

[0007] Furthermore, the basic code for the construction project is: in: For administrative district codes, For cadastral district codes, For cadastral sub-district codes, For land use codes, The land use compatibility code is obtained based on the number of compatible land use categories as defined in the Urban and Rural Planning Law. Land parcel codes in national land spatial planning; 1 represents a polygon representing an administrative region; 2 represents a polygon representing the cadastral area; 3 represents a cadastral sub-region polygon.

[0008] Furthermore, the administrative region code The polygon of the planned land parcel is obtained by calculating the spatial extent of the land parcel using a spatial relationship algorithm. Maximum area intersecting with administrative districts The corresponding administrative region 1. Administrative district code.

[0009] Furthermore, the cadastral code Obtain the polygon of the planned land parcel spatial range calculated using spatial relationship algorithms. Maximum area intersecting with the cadastral district Corresponding cadastral district 2. Cadastral zone code.

[0010] Furthermore, the cadastral sub-region code Obtain the spatial deformation of the planned land parcel by calculating the spatial range using spatial relationship algorithms. Maximum area intersecting with cadastral sub-districts Corresponding cadastral sub-region 3. Cadastral sub-district code.

[0011] Furthermore, S12 includes the process of generating sub-codes for the construction project based on the spatial relationship between the spatial coordinates of the project's land area and the land parcels in the national land spatial planning, which includes: S121. A construction project is obtained by splitting a land parcel under a national land use plan into its first construction project sub-code. The first construction project sub-code consists of an identification code F and a 1-digit code. The starting code of the first construction project sub-code is F0, which indicates that the land parcel under the national land use plan has been split 0 times, i.e., it has not been split; F1 indicates that it has been split 1 time, i.e., there are two projects on the land parcel under the national land use plan. Wherein: the codes in the first construction project sub-code that exceed 9 are numbered in the order of the 26 English letters. S122. For a construction project that spans multiple land parcels under the national land use planning, the second construction project sub-code consists of an identification code H and a 1-digit code. The starting code of the second construction project sub-code is H2, indicating that the construction project spans two land use planning parcels. Wherein, the codes in the second construction project sub-code that exceed 9 are numbered in the order of the 26 English letters.

[0012] The present invention is also implemented using the following technical solutions: The intelligent land management system includes: a land digital identity coding model and a large-scale land business processing model. The large-scale land business processing model consists of a land business identification module, a land indicator intelligent verification module, and a land lifecycle tracking module. Specifically, the large-scale land business processing model achieves intelligent land management by extracting the two-dimensional digital graphic code of the land generated by the land digital coding model, including: The business identification module obtains the corresponding serial number based on the two-dimensional digital graphic code of the land for the construction project, matches the land business type, and triggers the land project approval process. The land index intelligent verification module extracts the corresponding serial number of the two-dimensional digital graphic code of the land based on the triggering of the land project approval process, and then extracts the materials required for the construction project approval to verify and determine whether the current construction project approval conditions are met. The land lifecycle tracking module extracts the corresponding serial number of the land's two-dimensional digital graphic code, identifies all relevant approval business processes for the land where the construction project is located, and outputs all data information of the land during the lifecycle of the construction project. Extract the corresponding serial number of the two-dimensional digital graphic code of the land, identify all land that meets the given conditions, analyze the land supply, reserves, stock and supporting infrastructure, and generate a land use assessment report.

[0013] Furthermore, the large-scale land business processing model constructs a deep convolutional neural network based on a land learning knowledge database, and trains the deep convolutional neural network by storing the land approval business process and the identified business feature values ​​in the knowledge database.

[0014] Furthermore, the land index intelligent verification module extracts the corresponding serial number of the land's two-dimensional digital graphic code and construction materials based on the triggered land project approval process to determine whether the approval requirements for the current construction project stage are met; including: The system identifies the two-dimensional digital graphic code of the land and obtains the project sequence number, business items at the current approval stage of the project, review materials, business documents, and business process data; it automatically completes the verification of review materials; firstly, it determines whether the review materials are complete, and secondly, it determines whether the relevant indicators meet the regulatory conditions, and outputs the judgment results. Based on the judgment result, if the review fails, the process will be returned to the previous application process, and the conclusion of the review failure and the reason for the failure will be output. An input window will be provided for supplementing materials and resubmitting. If the review passes, the process will proceed automatically, the application document will be generated automatically, and the document and related materials will be transferred to the next application process.

[0015] Furthermore, the corresponding serial numbers of the two-dimensional digital graphic codes of the land are extracted to identify all land that meets the conditions for the construction project. The land supply, reserves, stock, and supporting infrastructure are then statistically analyzed to generate a land use assessment report. The intelligent land use analysis process is as follows: The system iterates through the extracted two-dimensional digital graphic codes of the land, extracts the land's boundary coordinates, land ownership, land nature, and approval stage, and compiles statistics on land supply, land construction, and land reserves. It also retrieves information on surrounding infrastructure and planning conditions for the plots, intelligently compares whether each indicator of the plot meets the planning conditions, intelligently analyzes the completeness of the surrounding infrastructure, automatically filters out plots that do not meet the planning conditions and infrastructure carrying capacity, and automatically analyzes and retrieves plots that are encroached upon or have unclear ownership disputes, and generates all information about the problematic plots throughout their entire lifecycle. Extract the land use analysis report template, classify the land according to its nature and category, compile intelligent analysis conclusions for each plot, generate the final analysis report, and save it to a file.

[0016] Beneficial effects 1. This invention breaks down information barriers between different departments by establishing a unique digital identity code for land, optimizes and restructures the natural resource management process, and achieves precise governance and intelligent supervision of land use throughout the entire lifecycle.

[0017] 2. This invention solves the problem of information silos by connecting the entire process, covering the entire process of land "planning-approval-supply-registration", ensuring the uniqueness of land parcel identity and data continuity.

[0018] 3. This invention aggregates planning data, construction project approval data, cadastral spatial data, and ownership data elements through a two-dimensional digital graphic code for land, constructing a "one code, one file" data chain, eliminating duplicate surveying and multiple source issues, and realizing "one survey, multiple uses" and "one order, one acceptance".

[0019] 4. This invention accelerates government approvals through parallel business processes. The "two-dimensional digital graphic code for land" serves as a shared medium, connecting the systems of various departments such as natural resources, development and reform, housing and construction, and taxation, enabling enterprises to apply with "zero materials." The coding rules are seamlessly compatible with national and local standards, support data interoperability across provincial platforms, and support multi-dimensional application expansion, such as farmland protection and urban renewal. It can provide underlying identification support for land spatial planning and ecological protection.

[0020] 5. This invention uses intelligent analysis to assess land use, providing real-time monitoring and timely early warning of land use health status. This method, through advanced technology, reduces costs and increases efficiency in natural resource management, accelerates project implementation, saves management costs, and has significant social benefits and high potential for wider application. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the process of a land intelligent management system based on land digital identity coding according to the present invention; Figure 2 This is a schematic diagram of the land digital identity coding structure involved in the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The illustrative embodiments and descriptions of the present invention are used to explain the present invention, but are not intended to limit the present invention.

[0023] like Figure 1As shown, this invention provides a land intelligent management method based on land digital identity coding. The intelligent management method is based on a land intelligent management system, which includes: a land digital identity coding model and a large-scale land business processing model. The large-scale land business processing model consists of a land business identification module, a land indicator intelligent verification module, and a land lifecycle tracking module. The large-scale land business processing model achieves intelligent land management by extracting the two-dimensional digital graphic code of the land generated by the land digital identity coding model, including: S1. Construct a two-dimensional digital graphic code for the land based on the basic materials in the construction project; such as... Figure 2 As shown, where: S11. Select land and natural resources planning and approval data, including land spatial planning data, administrative division data, cadastral district data, cadastral sub-district data, land use nature, and land use compatibility, to generate the basic code for the construction project; The basic code for the construction project is: in: For administrative district codes, For cadastral district codes, For cadastral sub-district codes, For land use codes, The land use compatibility code is obtained based on the number of compatible land use categories as defined in the Urban and Rural Planning Law. Land parcel codes in national land spatial planning; 1 represents a polygon representing an administrative region; 2为 cadastral region polygon; 3为 Cadastral sub-region polygon.

[0024] This invention relates to land use coding for areas where no land parcels exist within the national land use planning area of ​​a construction project (plot). Value "000000"; Land use compatible code Value "00"; Land parcel number in territorial spatial planning. Values ​​are taken starting from "50001", with the subcode value being "F0". Specific details include: The administrative region code The polygon of the planned land parcel is obtained by calculating the spatial extent of the land parcel using a spatial relationship algorithm. Maximum area intersecting with administrative districts The corresponding administrative region 1. Encoding sequence. The cadastral zone code. Obtain the polygon of the planned land parcel spatial range calculated using spatial relationship algorithms. Maximum area intersecting with the cadastral district Corresponding cadastral district 2. Encoding sequence. The cadastral sub-region code. Obtain the spatial deformation of the planned land parcel by calculating the spatial range using spatial relationship algorithms. Maximum area intersecting with cadastral sub-districts Corresponding cadastral sub-region 3. Encoded sequence.

[0025] Extract spatial data of land parcels, administrative regions, cadastral regions, and cadastral sub-regions in the national land spatial planning, analyze the spatial relationship between land parcels and administrative regions, cadastral regions, and cadastral sub-regions, and generate basic codes for construction projects based on the analysis results and the planning results of the land parcels.

[0026] The spatial position relationship analysis algorithm used to determine the spatial position relationship between two feature polygons employs a publicly available polygon teaching algorithm. The specific calculation method is as follows: The planned plot has a polygonal shape of [missing information]. The polygonal elements of administrative regions, cadastral regions, and cadastral sub-regions are: , It is the sequence number of the planned plot assembly point. It is the sequence number of the aggregation point of administrative, cadastral district, and cadastral sub-district elements. Let be the plane coordinates of the point. for and The area of ​​the intersection of two polygons. This is a publicly available algorithm for finding intersections of polygons.

[0027] The calculation formulas for the administrative region, cadastral region, and cadastral sub-region codes are as follows: The obtained administrative region code is denoted as The obtained cadastral zone code is recorded as The obtained cadastral sub-region code is denoted as , To determine the area where the planned plot of land intersects with the administrative district, To determine the area where the planned plot of land intersects with the cadastral area, Max() is the method for calculating the maximum intersection area between a planned land parcel and a cadastral sub-zone. The method involves querying and obtaining the geographic features with the largest intersection area. 1 represents a polygon representing an administrative region; 2 represents a polygon representing the cadastral area; 3. A method for encoding polygons corresponding to cadastral sub-regions.

[0028] S12. Generate the sub-code of the construction project by establishing the spatial relationship between the spatial coordinates of the construction project's land use area and the land parcels in the national land spatial planning; S121. A construction project is obtained by splitting a land parcel under a national land use plan into its first construction project sub-code F. The first construction project sub-code consists of an identification code F and a 1-digit code. The starting code of the first construction project sub-code is F0, which indicates that the land parcel under the national land use plan has been split 0 times, i.e., it has not been split; F1 indicates that it has been split 1 time, i.e., there are two projects on the land parcel under the national land use plan. Wherein: the codes in the first construction project sub-code that exceed 9 are numbered in alphabetical order according to the 26 letters of the English alphabet. S122. For a construction project that spans multiple land parcels under a national land use plan, the second construction project sub-code consists of an identification code H and a 1-digit code. The starting code of the second construction project sub-code is H2, indicating that the construction project spans two national land use plans. The code consists of 2 to 9 digits or 26 English letters. Where the code in the second construction project sub-code exceeds 9, it is numbered in the order of the 26 English letters.

[0029] S13. Obtain the static code of the construction project based on the combination of the basic code and the sub-code of the construction project; that is: in: This serves as the basic code for the construction project. For the subcode of project P; For construction projects; S14. Obtain the project dynamic code by combining the project development and reform approval code, the item stage code, and the project land registration real estate unit number; that is: in: This is the National Development and Reform Commission (NDRC) approval code for project P. This is the current stage code for project P. This refers to the real estate unit number of construction project P; S15. Generate a land identification code based on the project's static code and dynamic code; the land identification code includes the project's dynamic code. The land identification code is updated in real time according to the stage of the approval process; the dynamic code of the construction project in the land identification code. , The approval process is completed and a fixed code is assigned. S16. Obtain a two-dimensional digital graphic code for land by processing the land identity coding through a graphic code algorithm; S2. Based on the business data in the construction project, extract the corresponding serial number of the two-dimensional digital graphic code of the land, match the land business type, and trigger the land project approval process; S3. Based on the land project approval process, extract the corresponding serial number of the land's two-dimensional digital graphic code to approve whether the construction project materials meet the requirements of the current construction project stage; S4. Extract the corresponding serial number of the two-dimensional digital graphic code of the land to identify all relevant business processes of the land where the construction project is located and output all data information of the land during the life cycle of the construction project; S5. Extract the corresponding serial number of the two-dimensional digital graphic code of the land to identify all land that meets the spatial conditions of the construction project, and generate a land use assessment report by statistically analyzing the land supply, reserves, stock and supporting infrastructure.

[0030] The land management system includes: a business identification module that extracts the corresponding serial number of the two-dimensional digital graphic code of land based on the business data in the construction project, matches the land business type, and triggers the land project approval process; The intelligent land index verification module extracts the corresponding serial number of the two-dimensional digital graphic code of the land based on the triggered land project approval process to verify whether the construction project materials meet the requirements of the current construction project stage. The land lifecycle tracking module extracts the corresponding serial number of the two-dimensional digital graphic code of the land, identifies all relevant business processes of the land where the construction project is located, and outputs all data information of the land during the lifecycle of the construction project. Extracting the corresponding serial number of the two-dimensional digital graphic code of the land identifies all land that meets the spatial conditions of the construction project, and statistically analyzes the land supply, reserves, stock and supporting infrastructure to generate a land use assessment report.

[0031] The large-scale land business processing model is built on a land learning knowledge database to construct a deep convolutional neural network. The deep convolutional neural network is trained by storing the land approval business process and the identified business feature values ​​in the knowledge database.

[0032] The intelligent land index verification module extracts the corresponding serial number of the two-dimensional digital graphic code of the land based on the triggered land project approval process, and verifies whether the project materials meet the requirements of the current stage of the project; including: The intelligent land index verification module extracts the corresponding serial number of the land's two-dimensional digital graphic code and construction materials based on the triggered land project approval process to determine whether the approval requirements for the current construction project stage are met; including: The system identifies the land's two-dimensional digital graphic code to obtain the project sequence number, business items at the current approval stage of the project, review materials, business documents, and business process data; it automatically completes the verification of review materials; it first determines whether the review materials are complete, and secondly determines whether the relevant indicators meet the regulatory requirements, and outputs the judgment results. Based on the judgment result, if the review fails, the process will be returned to the previous application process, and the conclusion of the review failure and the reason for the failure will be output. An input window will be provided for supplementing materials and resubmitting. If the review passes, the process will proceed automatically, the application document will be generated automatically, and the document and related materials will be transferred to the next application process.

[0033] Extracting the corresponding serial number of the two-dimensional digital graphic code of the land to identify all land that meets the spatial conditions of the construction project, and statistically analyzing the land supply, reserves, stock, and supporting infrastructure to generate a land use assessment report. This is part of the intelligent land use analysis process. The system iterates through the extracted two-dimensional digital graphic codes of the land, extracts the land boundary coordinates, land ownership, and land nature, and compiles statistics on land supply, land construction, and land reserves. It then uses a large land model to retrieve information on surrounding infrastructure and planning conditions for each plot, intelligently compares whether each plot meets the planning conditions, intelligently analyzes the completeness of surrounding infrastructure, automatically filters out plots that do not meet planning conditions and infrastructure carrying capacity, and automatically analyzes and retrieves plots with overlapping land or unclear land ownership disputes, generating all information on the problematic plots throughout their entire lifecycle. Extract the land use analysis report template, categorize by land type, compile intelligent analysis conclusions for each plot, generate the final analysis report, and save it to a file. The following is a specific implementation case illustrating this: Example: Basic Data Coding: This involves coding and classifying the following raw data required for natural resource planning approval: land spatial planning data, administrative division data, cadastral area data, cadastral sub-area data, project land use scope data, project government approval data, real estate ownership data, and natural resource and planning standards and regulations data. The code is as follows: Land Spatial Planning Data: GH-GTKJGH-000001.shp; Administrative Division Data: XZ-XZQH-000001.shp; Cadastral Area Data: DJ-DJQ-000001.shp; Cadastral Sub-area Data: DJ-DJZQ-000001.shp; Project Scope Data: JS-JSXMFW-000001.shp; Project Government Approval Data includes: Land Change Data (Preliminary Planning Stage): QQCH-GZ-TDBG-000001.xls; Land Acquisition and Storage Data: QQCH-GZ-TDSC-000 001.xls, Land Reserve Planning Red Line Consultation Data Code QQCH-GZ-TDCBHXZX-000001.xls, Land Use Approval Data Code for Land Use of Projects Linked by Increase and Decrease QQCH-GZ-ZJGGJSXMBP-000001.xls; Municipal Land Use Pre-approval and Site Selection Opinion Data Code YSYXZ-GZ-SZLYDYSYXZYJS-000001.xls, Land Use Approval Data Code for Separately Sited Projects YSYXZ-GZ-DDXZJSXMYDBP-000001.xls, Agricultural Land Conversion and Land Acquisition The following are the data codes for the following projects: Construction Scheme Data Code: YSYXZ-GZ-NYDZYHTDZSSSFA-000001.xls; Project Preliminary Land Use Application Data Code: YSYXZ-GZ-JSXMXXYDSQ-000001.xls; Project Land Use Preliminary Review Data Code: YSYXZ-GZ-JSXMYDCS-000001.xls; Municipal Engineering Land Use Application Data Code: YSYXZ-GZ-SZGCYDSQ-000001.xls; Building Land Use Preliminary Review and Site Selection Opinion Data Code: YSYXZ-GZ-JZLYDYSYXZYJS-000001.xls. The data codes for urban phased construction land approval are YSYXZ-GZ-CSFPCJSYDBP-000001.xls; the data codes for county-level land use pre-approval are YSYXZ-GZ-XJYDYS-000001.xls; the data codes for project site selection opinions are SYXZ-GZ-JSXMXZYJS-000001.xls; the data codes for project land use pre-approval are YSYXZ-GZ-JSXMYDYS-000001.xls; and the data codes for the transfer conditions of state-owned construction land use rights at the planning conditions stage are GHTJ-GZ-GYJSYDSYQCRTJ-000001.The file contains the following data files: Land Use Planning Conditions Design for Transfer - Bidding and Auction Data Code GHTJ-GZ-CRYDGHTJSJ-000001.xls; Detailed Construction Planning Review Data Code GHTJ-GZ-XJXXXGHSC-000001.xls; Urban and Rural Planning Leading Group Meeting Project Data Code LXBA-FG-CXGHLDXZHXM-000001.xls; Urban and Rural Planning Expert Committee Project Data Code LXBA-FG-CXGHZJWYHXM-000001.xls; State-owned Land Use Rights Bidding and Auction Data Code TDGY-GZ-GYTDSYQZPG-000001 during the Land Supply Stage. The filenames are: .xls, ... Construction land use planning permit data codes: YDXK-GZ-JZLJSYDGHXK-000001.xls; Construction project land use permit data codes: YDXK-GZ-JSXMYDXKZ-000001.xls; Municipal engineering land use permit data codes: YDXK-GZ-SZGCYDXKZ-000001.xls; Municipal construction land use planning permit data codes: YDXK-GZ-SZLJSYDGHXKZ-000001.xls; Construction project planning scheme data codes (GCGZ-GZ-JSXMGHFA-000001.xls) at the construction project planning permit stage; Municipal road and pipeline network scheme review data codes. The following are data codes: GCGZ-GZ-SZDLGWFASC-000001.xls (municipal engineering planning scheme data code), GCGZ-GZ-SZGCGHFA-000001.xls (building construction planning permit data code), GCGZ-GZ-JZLJSGCGHXKZ-000001.xls (municipal planning design scheme data code), GCGZ-GZ-SZLGHSJFA-000001.xls (municipal engineering planning permit data code), and GCGZ-GZ-JZLGHSJFA-000001.xls (building planning design scheme data code).The file contains the following data files: Construction Project Planning Permit Data Code GCGZ-GZ-JSGCGHXKZ-000001.xls, Municipal Engineering Planning Permit Data Code GCGZ-GZ-SZGCGHXKZ-000001.xls, Engineering Supervision Data Code GCGZ-GZ-GCJC-000001.xls, Planning Enforcement Supervision Data Code GCGZ-GZ-GHZFJC-000001.xls, and Construction Project Construction Permit Data Code SGXKZ-JS-JSGCSGXKZ-000001.xls. The following are the data codes for construction project completion acceptance and filing: JGYS-GZ-JSXMGHYS-000001.xls; JGYS-GZ-SZGCJGYS-000001.xls; JGYS-GZ-KCDJYS-000001.xls; JGYS-GZ-SZLGHHS-000001.xls; JGYS-GZ-JZLGHHS-000001.xls; JGYS-GZ-JZLGHHS-000001.xls; JGYS-GZ-JZLGHHS-000001.xls; Natural resources and planning standards and regulations data include: Xining City geographic entity data standard code BZFG-GZ-XNSDLSTSJBZ-001.pdf, land and sea use classification guide code for land and sea use in land spatial survey, planning, and land use control BZFG-GZ-GTKJDCGHYTGZYDYHFLZN-001.pdf, and real estate unit setting and code compilation rules code BZFG-GZ-BDCDYSDYDMBZGZ-001.pdf.

[0034] Although embodiments of the invention have been described by way of examples, those skilled in the art will recognize that the invention has many variations and modifications without departing from its spirit, and it is intended that the appended claims cover such variations and modifications without departing from the spirit of the invention.

Claims

1. A land intelligent management method based on land digital identity coding, comprising digital processing and management of land information, characterized in that, include: S1. Construct a two-dimensional digital graphic code for the land based on the basic materials used in the construction project; where: S11. Select basic spatial data of natural resources: land spatial planning data, administrative division data, cadastral area data, cadastral sub-area data, land use nature, and land use compatibility to generate basic codes for construction projects; S12. Based on the input spatial coordinates of the construction project land area, perform spatial relationship analysis with the land use planning data, and generate a sub-code representing the construction project in the space based on the analysis results; S13. Obtain the static code of the construction project based on the combination of the basic code and the sub-code of the construction project; that is: in: This serves as the basic code for the construction project. For the construction project's sub-code; For construction projects; S14. Obtain the dynamic code of the construction project by combining the project development and reform commission approval code, the approval item stage code, and the land registration real estate unit number of the construction project; that is: in: For construction projects The National Development and Reform Commission's project approval code, For construction projects The current stage code of the approval process. For construction projects The real estate unit number; S15. Generate a land identification code based on the project's static code and dynamic code; the land identification code includes the project's dynamic code. The land identification code is updated in real time according to the stage of the approval process; the dynamic code of the construction project in the land identification code. , The approval process is completed and a fixed code is assigned. S16. Obtain a two-dimensional digital graphic code for land by processing the land identity coding through a graphic code algorithm; S2. Based on the two-dimensional digital graphic code of the land, parse and match the land business type, and automatically trigger the corresponding land project approval process; S3. After the approval process is triggered, based on the same two-dimensional digital graphic code of the land, index and extract the approval materials required for the construction project at the current stage, and automatically check whether the materials meet the approval requirements of this stage; S4. Based on the two-dimensional digital graphic code of the land, track and associate all business processes involved in the entire life cycle of the construction project in land planning, approval, supply and registration, and integrate and output complete data information within the life cycle; S5. Based on the two-dimensional digital graphic code of the land, according to the set spatial and conditional rules, select the set of land that meets the conditions, and automatically count the land supply, reserves, stock and supporting infrastructure of each land, and generate a land use assessment report.

2. The land intelligent management method based on land digital identity coding according to claim 1, characterized in that: The basic code for the construction project is: in: For administrative district codes, For cadastral district codes, For cadastral sub-district codes, For land use codes, The land use compatibility code is obtained based on the number of compatible land use categories as defined in the Urban and Rural Planning Law. Land parcel codes in national land spatial planning; The planned site is a polygonal shape. 1 represents a polygon representing an administrative region; 2 represents a polygon representing the cadastral area; 3 represents a cadastral sub-region polygon.

3. The land intelligent management method based on land digital identity coding according to claim 2, characterized in that: The administrative region code The polygon of the planned land parcel is obtained by calculating the spatial extent of the land parcel using a spatial relationship algorithm. Maximum area intersecting with administrative districts The corresponding administrative region polygon 1. Administrative district code.

4. The land intelligent management method based on land digital identity coding according to claim 2, characterized in that: The cadastral code Obtain the polygon of the planned land parcel spatial range calculated using spatial relationship algorithms. Maximum area intersecting with the cadastral district The corresponding cadastral area polygon 2. Cadastral zone code.

5. A land intelligent management method based on land digital identity coding according to claim 2, characterized in that: The cadastral sub-region code Obtain the polygon of the planned land parcel spatial range calculated using spatial relationship algorithms. Maximum area intersecting with cadastral sub-districts The corresponding cadastral sub-region polygon 3. Cadastral sub-district code.

6. The land intelligent management method based on land digital identity coding according to claim 1, characterized in that: In step S12, spatial relationship analysis is performed between the input spatial coordinates of the construction project land area and the land use planning data. Based on the analysis results, a sub-code representing the construction project in that space is generated, including: S121. A construction project is obtained by splitting a land parcel under a national land use plan into a first construction project sub-code. The first construction project sub-code consists of an identification code F and a 1-digit code. The starting code of the first construction project sub-code is F0, indicating that the land parcel under the national land use plan has been split 0 times, i.e., not split; F1 indicates that it has been split once, i.e., there are two projects on the land parcel under the national land use plan. Wherein: the codes in the first construction project sub-code that exceed 9 are numbered in the order of the 26 English letters. S122. A second construction project sub-code obtained for a construction project spanning multiple land parcels under the national land use planning. The second construction project sub-code consists of an identification code H and a 1-digit code. The starting code of the second construction project sub-code is H2, indicating that the construction project spans two land parcels under the national land use planning planning. Wherein: after the code in the second construction project sub-code exceeds 9, it is numbered in the order of the 26 English letters.

7. A land intelligent management system based on land digital identity coding, comprising a processor and a memory storing computer programs, characterized in that: The system is based on land digital identity coding. When the computer program is executed by a processor, it implements the method described in any one of claims 1-6. The system includes: a land digital identity coding model and a large-scale land business processing model; the large-scale land business processing model consists of a land business identification module, a land indicator intelligent verification module, and a land lifecycle tracking module; wherein: the large-scale land business processing model achieves intelligent land management by extracting the two-dimensional digital graphic code of land generated by the land digital coding model, including: The business identification module is based on the two-dimensional digital graphic code of land, which parses and matches the land business type and automatically triggers the corresponding land project approval process. The land index intelligent verification module indexes and extracts the approval materials required for the construction project at the current stage based on the same two-dimensional digital graphic code of the land, and automatically verifies whether the materials meet the approval requirements of this stage. The land lifecycle tracking module tracks and associates all business processes involved in the entire lifecycle of the construction project, including land planning, approval, supply, and registration, based on the two-dimensional digital graphic code of the land, and integrates and outputs complete data information within the lifecycle. Based on the two-dimensional digital graphic code of the land, and according to the set spatial and conditional rules, the system filters out the set of land that meets the conditions, and automatically calculates the land supply, reserves, stock and supporting infrastructure status of each land, and generates a land use assessment report.

8. A land intelligent management system based on land digital identity coding according to claim 7, characterized in that: The intelligent land index verification module extracts the corresponding serial number of the land's two-dimensional digital graphic code and construction project materials based on the triggered land project approval process, and determines whether the approval requirements for the current construction project stage are met; including: The system identifies the two-dimensional digital graphic code of the land to obtain the project serial number, business items at the current approval stage of the project, review materials, business documents, and business process data; it automatically completes the verification of review materials; it first determines whether the review materials are complete, and secondly determines whether the relevant indicators meet the regulatory conditions, and outputs the judgment results. Based on the judgment result, if the review fails, the process will be returned to the previous application process, and the conclusion of the review failure and the reason for the failure will be output. An input window will be provided for supplementing materials and resubmitting. If the review passes, the process will proceed automatically, the application document will be generated automatically, and the document and related materials will be transferred to the next application process.

9. A land intelligent management system based on land digital identity coding according to claim 7, characterized in that, The intelligent land assessment module, based on the two-dimensional digital graphic code of the land, filters out a set of land that meets the conditions according to the set spatial and conditional rules, and automatically calculates the land supply, reserves, stock and supporting infrastructure status of each land, generating a land use assessment report. The system iterates through the extracted two-dimensional digital graphic codes of the land, extracts the land's boundary coordinates, land ownership, land nature, and approval stage, and compiles statistics on land supply, land construction, and land reserves. It also retrieves information on surrounding infrastructure and planning conditions for the plots, intelligently compares whether each indicator of the plot meets the planning conditions, intelligently analyzes the completeness of the surrounding infrastructure, automatically filters out plots that do not meet the planning conditions and infrastructure carrying capacity, and automatically analyzes and retrieves plots that are encroached upon or have unclear ownership disputes, and generates all information about the problematic plots throughout their entire lifecycle. Extract the land use analysis report template, classify the land according to its nature and category, compile intelligent analysis conclusions for each plot, generate the final analysis report, and save it to a file.

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