Natural resource right confirmation registration management system based on big data

Abstract

The invention relates to the technical field of resource management, and particularly discloses a natural resource right confirmation registration management system based on big data, and particularly relates to the technical field of resource management, the system comprises an infrastructure layer, a data layer, a platform layer and an application layer, the infrastructure layer is used for providing IT resources for the natural resource right confirmation registration management system; the data layer takes natural resource right confirmation registration result data as a core, and uniformly manages and uploads the data; the platform layer is used for standardized service release and security management and control; and the application layer encapsulates two-dimensional, three-dimensional and data services of the platform layer into a service interface, and combines the service interface into a one-screen decision entry by grade evaluation, Gantt chart and city-county scheduling. According to the method, standard unification, two-dimensional and three-dimensional integration, quality measurability and scheduling executable are taken into consideration, the management cost caused by misinformation / missing report and cross-period caliber inconsistency is reduced, and the overall planning efficiency, the data credibility and the decision timeliness are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of resource management, more particularly, the present application relates to a natural resource right registration management system based on big data. BACKGROUND

[0002] Natural resource unified right registration is an important basic work for clarifying resource property rights, promoting ecological civilization system reform and modern governance. The implementation of the demand for "right registration cadastral survey result data, right registration database, three-dimensional display and statistical analysis" formed in the process requires that the platform realizes two-dimensional and three-dimensional integrated management, spatial analysis and comprehensive display under the premise of unified standards, unified interfaces and unified security, and finally provides data support for management decision-making. However, the existing system is mostly limited to the "display and query" interface, and lacks a hierarchical mining evaluation and dispatch cockpit combined with progress situation and quality maturity, which cannot directly support unified planning and process correction at the "municipal-district-result package" multi-level.

[0003] Therefore, a big data mining analysis system coupling "right registration database" and "progress multi-dimensional features" is needed to form an operable Gantt chart progress view and risk warning to achieve the landing closed loop of "auxiliary decision-making". SUMMARY

[0004] In order to overcome the above-mentioned defects of the prior art, the present application provides a natural resource right registration management system based on big data, which couples the right registration database with process features such as progress and quality through a layered architecture of "infrastructure layer-data layer-platform layer-application layer", and then generates risk levels by building a feature library and training a level evaluation model to provide auxiliary decision-making for municipal unified management and dispatch, thereby solving the problems raised in the background art.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solutions: A natural resource right registration management system based on big data, comprising: An infrastructure layer for providing IT resources for the natural resource right registration management system; A data layer taking natural resource right registration result data as the core, which is uniformly managed and uploaded; A platform layer for standardized service publishing and security control; An application layer encapsulating two-dimensional and three-dimensional of the platform layer and data services into a business interface, and integrating them into a one-screen decision-making portal with "level evaluation + Gantt chart + municipal dispatch"; The application layer further comprises a right level evaluation module for building a feature library, training a level evaluation model, and providing auxiliary decision-making for municipal unified management and dispatch, including the following steps: Y1, by presetting rules for various registration units, realizing one-key inspection and generating reports, completing standardized storage and leaving traces, and then associating the registration units with the right adjustment attributes and statistical data through integrated management, and finally aggregating in the achievement package dimension, constructing a feature library; Y2, based on the feature library, training a level evaluation model, using two parallel ideas to verify each other, and forming a comprehensive score and a risk score, which are unified as a composite score; Y3, the composite score is mapped to three risk levels under a stable threshold; Y4, based on the three risk levels, in the unified management and scheduling view after logging in as a "city-level account", each achievement package of the whole city and each district and county is displayed in a horizontal bar Figure Three The time track shows the plan, actual and predicted progress, and the registration and level information are directly overlaid with color coding. The manager can filter and download to view abnormal nodes according to administrative areas and achievement packages.

[0006] As a further scheme of the present application, the infrastructure layer is used to provide IT resources for the natural resource right registration management system, and includes the following specific contents: the infrastructure layer includes servers, switches, firewalls, routers, intrusion detectors, disk arrays and other devices. The servers provide core computing and application bearing, and bear the operation carrier of business and service end components; the switches serve as convergence network devices, and undertake high-speed interconnection between each server and storage, security devices, and constitute the basis of "network resources"; the routers realize three-layer forwarding and outlet communication between different network segments / security domains, and support cross-network communication and external interconnection; the intrusion detectors monitor and alarm abnormal behavior and suspicious access, and support rapid investigation of potential attacks and illegal operations; the disk array serves as the core of "storage resources", and provides centralized storage, capacity expansion and backup / recovery linkage base capacity, and supports reliable persistence of business data and spatial data; and the other devices provide necessary machine room and operation and maintenance supporting (such as monitoring, auditing, etc.) for the above-mentioned computing, storage and network operation, and jointly constitute the IT support environment for system operation.

[0007] As a further scheme of the present application, the data layer takes the natural resource right registration achievement data as the core, and uniformly manages and uploads it, and includes the following specific contents: the base data of the data layer is composed of basic geographic information data, natural resource right registration achievement data and regional oblique photography data, and provides direct support and unified source for two-dimensional and three-dimensional integration of right registration work.

[0008] The data layer also performs data aggregation and quality inspection storage, and specifically includes the following steps: S1, performing data integrity check.

[0009] S2, performing data specification check, focusing on including "mathematical basis" and "topological relationship".

[0010] S3, performing data logicality check, covering structure consistency, code consistency, unique numbering, chart consistency and result consistency.

[0011] As a further scheme of the present application, a platform layer is used for standardizing service publishing and security management, and includes the following specific contents: the platform layer includes idesktopX, iserver and a natural resource right registration information management platform, the idesktopX undertakes desktop-level work such as data editing, data import and export, data conversion, graphic editing and attribute query, and output two / three-dimensional maps and data resources for subsequent service publishing and three-dimensional scene display. The iServer undertakes service publishing and standardized external supply: providing API / service, three-dimensional scene service and data query service conforming to OGC standards, for providing two / three-dimensional maps and data in a standard interface mode for upper layer calling. The natural resource right registration information management platform includes: 1. basic functions: data editing, import and export, data conversion, graphic editing and attribute query; 2. dynamic data achievement storage: supporting "one-key quality inspection", and creating a right registration database and loading into the warehouse after quality inspection; 3. data quality inspection: being capable of configuring inspection rules for various registration unit data, covering achievement data consistency and compliance inspection; 4. integrated management: associating registration units with various right adjustment attribute data and statistical data, and providing spatial and attribute editing; 5. map output: supporting registration unit map display and one-key output, and being capable of setting a visible range in stages; 6. data update: supporting modification and editing of registration unit space and attributes, and directly pushing to the warehouse after audit, and updating and covering original data.

[0012] As a further scheme of the present application, an application layer encapsulates two / three-dimensional and data services of the platform layer into a business interface, and integrates a screen type decision-making entrance through "level evaluation + horizontal diagram + city and county dispatching", and includes the following specific contents: the application layer includes a layer directory, layer control, resource retrieval, spatial positioning and multi-source data superposition; the superposition is compatible with OGC standards (WMTS / WMS) and three-dimensional scene service, and ensures cross-source availability and scene consistency. The application layer provides three-dimensional roaming, split screen / rolling shutter comparison, attribute query, classification statistics, and supports non-repetition / non-missing, visibility, slope direction, visible range, excavation and other analyses.

[0013] The technical effects and advantages of the natural resource right confirmation registration management system based on big data are as follows: the natural resource right confirmation registration management system based on big data is coupled with progress, quality and other process characteristics through the hierarchical architecture of the infrastructure layer, the data layer, the platform layer and the application layer; the bottom layer provides high reliable storage and security protection by using IT resources such as servers, switches, routers, intrusion detection and disk arrays; the data layer integrates multi-source heterogeneous data such as vector / raster, oblique photography, BIM and point cloud under the unified coordinate and projection specification, and supports one-key quality inspection and trace storage, which significantly improves data consistency and availability; the platform layer publishes OGC standard two-dimensional and three-dimensional services by using iDesktopX and iServer, and supports standardized supply and cross-source interoperability; the application layer encapsulates spatial analysis, three-dimensional scene and statistical capabilities into a one-screen cockpit of "grade evaluation + horizontal chart + city and county dispatching"; the grade evaluation model is trained by constructing a feature library, and quality, topology and process items are quantified into continuous risk scores, combined with weighted error cost and monthly playback optimization stability threshold, and the result package is divided into A / B / C three levels, so that the closed loop of "display query" is upgraded to "evaluation - early warning - rectification - reevaluation"; the management end is color-coded with grade identification according to the three-track horizontal chart of plan / actual / forecast, and the C-level high-risk rectification order is automatically issued and the whole process is traced, which promotes problem positioning, time tracking and result review; overall, the system considers standard unification, two-dimensional and three-dimensional integration, quality measurability and dispatching executability, significantly reduces the management cost caused by false positives / false negatives and inconsistent cross-period indicators, and improves overall efficiency, data reliability and decision-making timeliness. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 FIG. 1 is a structural schematic diagram of the natural resource right confirmation registration management system based on big data.

[0015] Figure 2 FIG. 4 is a data quality inspection and storage schematic diagram of the natural resource right confirmation registration management system based on big data.

[0016] Figure 3 FIG. 5 is a detailed error schematic diagram of the natural resource right confirmation registration management system based on big data. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0018] Embodiment 1

[0019] Reference Figure 1As shown in the structural diagram, the natural resource right confirmation registration management system based on big data comprises: An infrastructure layer for providing IT resources for the natural resource right confirmation registration management system; A data layer taking natural resource right confirmation registration result data as the core, which is uniformly managed and uploaded; A platform layer for standardized service publishing and security control; An application layer encapsulating two-dimensional and three-dimensional data services of the platform layer into a business interface, and integrating them into a one-screen decision-making portal through "level evaluation + horizontal graph + city and county dispatching".

[0020] Further, the infrastructure layer for providing IT resources for the natural resource right confirmation registration management system comprises: the infrastructure layer comprises servers, switches, firewalls, routers, intrusion detectors, disk arrays and other devices. The servers provide core computing and application bearing (such as high-performance application servers and map cache strategies for improving complex map rendering and access efficiency), and bear the running carrier of business and service end components; the switches serve as convergence network devices, undertake high-speed interconnection between each server and storage, security devices, and constitute the basis of "network resources"; the routers realize three-layer forwarding and outlet communication between different network segments / security domains, support cross-network communication and external interconnection; the intrusion detectors monitor and alarm abnormal behavior and suspicious access, support rapid investigation of potential attacks and illegal operations; the disk array serves as the core of "storage resources", provides centralized storage, capacity expansion and backup / recovery linkage base capacity, and supports reliable persistence of business data and spatial data; and the other devices provide necessary machine room and operation and maintenance support (such as monitoring, auditing, etc.) for the above-mentioned computing, storage and network operation, and jointly constitute the IT support environment for system operation.

[0021] Further, the data layer takes natural resource right confirmation registration result data as the core, which is uniformly managed and uploaded, and comprises: the base data of the data layer is composed of basic geographic information data, natural resource right confirmation result data and regional oblique photography data, which directly supports and provides unified source for two-dimensional and three-dimensional integration of right confirmation registration work. The data layer not only carries traditional vector / raster, but also combines multi-source heterogeneous data such as oblique photography, BIM and laser point cloud to support the integration of outdoor / indoor and macro / micro expression and analysis needs through two-dimensional and three-dimensional integrated data model.

[0022] The data layer also performs data aggregation and quality inspection and storage, such as Figure 2 As shown in the data quality inspection and storage, it specifically comprises the following steps: S1, perform data integrity check: check whether the data such as "electronic achievement, file achievement, drawing achievement" is complete, check whether the "spatial and non-spatial elements" in the electronic achievement is complete, and compare with the survey table, drawing, approval file and original material item by item, to ensure that the material is complete and meets the requirements of database standard.

[0023] S2, perform data specification check, including "mathematical basis" and "topological relationship": the plane coordinate system adopts 2000 national geodetic coordinate system, the elevation system adopts 1985 national elevation datum, and the projection mode conforms to "Technical Regulations for Natural Resources Cadastration", at the same time, check whether there is overlap between point / line / surface element layers, whether it is closed and whether the topological reference tolerance meets the standard, and review whether there is improper overlap between different natural resource patches and various area layers (including disputed area layers).

[0024] S3, perform data logicality check, including consistent structure, consistent code, unique number, consistent chart and consistent achievement: check whether the attribute field length, decimal place, quantity, name, type and field value meet the item-by-item check; perform code table consistency verification on code class fields (including "element code"); perform unique check on natural resource registration unit number, its branch number, public management partition number and boundary point unified number item by item; check the consistency of distribution range and attribute information according to "intra-layer - inter-layer - inter-chart", and check whether the associated management information, resource type information and original material list are consistent; it is also necessary to compare the boundary description table, survey notes table, achievement verification table and library table information after storage based on "registration unit number", to confirm that the submission achievement maintains consistency in "space - non-space - combined achievement" three levels.

[0025] In the embodiment, as shown in Figure 3 , right-click the error information to pop up a pop-up box, which can perform "exception", "cancel exception", "export current error", "export all errors" or "copy error information" operation on the error. Selecting the export error information can export the error information to Excel Further, the platform layer is used for standardizing service publishing and security management, and includes: the platform layer includes idesktopX, iserver and a natural resource right confirmation registration information management platform, the idesktopX undertakes data editing, data import and export, data conversion, graphic editing, attribute query and other desktop-level work, and outputs two / three-dimensional maps and data resources for subsequent service publishing and three-dimensional scene display; the idesktopX supports two / three-dimensional integration and fusion processing of multi-source heterogeneous data (such as oblique photography, BIM and laser point cloud) in a data preparation stage, and provides compliant and publishable data results for three-dimensional display and spatial analysis of the application layer. The iServer undertakes service publishing and standardized external supply: provides API / services (such as WMTS, WMS) conforming to OGC standards, three-dimensional scene services and data query services, and is used for providing two / three-dimensional maps and data in a standard interface mode for calling by an upper layer. The natural resource right confirmation registration information management platform includes: 1. basic functions: data editing, import and export, data conversion, graphic editing and attribute query; 2. dynamic data result storage: supports “one-key quality inspection”, and creates a right confirmation registration database and loads it into a warehouse after quality inspection; 3. data quality inspection: can configure inspection rules for various types of registration unit data, and covers consistency and compliance inspection of result data; 4. integrated management: associates registration units with various types of right adjustment attribute data and statistical data, and provides spatial and attribute editing; 5. map output: supports registration unit map display and one-key output, and can set a visible range in stages; and 6. data update: supports modification and editing of registration unit space and attributes, and directly pushes the registration unit space and attributes to the warehouse after audit, and updates and covers original data.

[0026] Further, the application layer encapsulates two / three-dimensional and data services of the platform layer into a business interface, and integrates a screen type decision-making entrance through “level evaluation + horizontal diagram + city and county dispatching”, and includes: the application layer includes a layer directory, layer control, resource retrieval, spatial positioning and multi-source data superposition; the superposition is compatible with OGC standards (WMTS / WMS) and three-dimensional scene services, and ensures cross-source availability and scene consistency. The application layer provides three-dimensional roaming, split / rolling comparison, attribute query, classification statistics, and supports non-redundant / non-missing, visibility, slope direction, visible range, excavation and other analyses.

[0027] The application layer further includes a right confirmation level evaluation module, which is used for constructing a feature library, training a level evaluation model, providing auxiliary decision-making for city-level unified management and dispatching, and includes the following steps: Y1, the integrity, correctness and consistency check rules of various registration units are preset, triggering one-key quality inspection and automatically generating quality inspection report; after passing, target library is created and batch loaded according to source and target data source, realizing standardized warehousing and trace review; the warehoused data is included in data resource service, providing layer directory and control, resource retrieval and spatial positioning, and multi-source superposition; roaming measurement and classification statistics according to registration unit or administrative area are completed in three-dimensional scene, and non-repetition, non-missing, visibility, slope, slope direction, excavation and other analyses are performed, and basic statistics and spatial diagnostic characteristics are precipitated; according to mathematical and topological relationship clauses, programmatic checking is performed on coordinate reference, projection method, point line face closure and topological tolerance, and meanwhile, defect count and proportion and other calculable items are generated according to logical items such as field structure and code table, unique number, and chart consistency; by integrating management, the registration unit is associated with the statistical data of right adjustment attribute, and relying on the mechanism of data update direct pushing back to the library, the process characteristics such as editing to warehousing coverage time and update frequency are continuously precipitated, and the time sequence consistency of characteristics with business evolution is maintained; the above various characteristics are aggregated in the result package dimension to build a feature library.

[0028] Y2, based on the feature library, a level evaluation model is trained, first, the missing data of quality items, topological items and management items of different dimensions are filled and the extreme values are processed, and rolling statistics are made according to time window to suppress short-term fluctuations; then two parallel ideas are used for mutual verification: one is the rule-based interpretable scoring card, which maps factors such as integrity defect rate, topological conflict rate, logical consistency problem number, update cycle fluctuation and cross-table association missing into item scores, and determines the comprehensive score through the joint determination of expert weight and historical regression weight; the second is the abnormal score of light supervision model, which uses the structural characteristics of graph mining and the matching strength of similarity connection to divide groups and measure abnormality, forming a risk score in the sense of probability. The two scores are scaled and unified as a composite score, which is used as a candidate threshold search for level division; then threshold optimization and stability verification are carried out, "providing data support for decision-making" is the objective function, and the trade-off between "false positive rate and false negative rate" and "whether the sample proportion of each level meets the management expectation under three-level division" is optimized, and the stability of the threshold in multiple monthly windows is tested; when there is obvious seasonal or batch warehousing caused by structural changes, the threshold is set in different regions and the caliber is recorded to ensure horizontal comparability.

[0029] To optimize both false positives and false negatives and make the three-level results meet the management expectations, the continuous risk scores output by the grade evaluation model are first probability calibrated, and then threshold optimization is performed on the dataset with historical quality inspection and acceptance conclusions that can be played back, with the goal of "weighted error cost": misjudging low risk as high risk is considered false positive, and misjudging high risk as low risk is considered false negative, and according to the principle that the management side is more sensitive to false negatives, a higher weight is given, grid search and time window playback are combined, the weighted error rate and monthly stability index are calculated on each candidate threshold combination, and at the same time, "classification proportion constraint" is introduced, that is, without sacrificing key error cost, the sample proportions of A, B and C levels are brought into the reasonable interval set by the management; if there is a structural change (such as centralized batch warehousing or seasonal operation leading to distribution migration) in a month, the threshold is set separately by region or period and the version is recorded to ensure horizontal comparability and result consistency.

[0030] Y3, the composite score is mapped to three risk levels at stable thresholds: A level indicates that core quality items and topology items meet the standards and progress and process items are stable; B level indicates that there is a slight deviation but overall controllable; C level indicates that there is a significant risk in quality or progress, which needs to be immediately rectified and coordinated. The mapping process is: first, using the real processes supported by the platform such as "one-key quality inspection, quality inspection report and batch warehousing", the checking items such as integrity, correctness and consistency are precipitated as measurable features as the quality baseline for scoring; at the same time, using layer services, spatial positioning, three-dimensional scene superposition and statistical analysis capabilities, quantitative evidence of progress and spatial relationship is formed as the scene input for scoring; then the above features are sent to the grade evaluation model to obtain continuous risk scores, and high-performance spatio-temporal data services and visualization support are used for monthly playback to optimize two stable thresholds, so that the weighted cost of false positives and false negatives reaches the management side target, and the classification proportion falls into the management expectation interval; finally, after the thresholds are determined, the achievement package with a comprehensive score greater than the upper threshold is marked as A level, indicating that the quality and progress are stable and the spatial consistency meets the standards, the one between the upper and lower thresholds is marked as B level, indicating that there is controllable deviation and needs to be tracked, and the one below the lower threshold is marked as C level, indicating that there is a significant quality or progress risk that needs to be immediately rectified.

[0031] Y4, based on the three risk levels, in the unified management and dispatch view after logging in to the "city-level account", each achievement package of the whole city and each district and county is marked with a horizontal bar Figure ThreeThe bar time track displays the plan, actual and predicted progress, and directly reflects the registration and level information with color coding, with A level identified as on schedule and stable quality, B level identified as controllable deviation, and C level identified as major risk; the manager can filter and download the abnormal nodes according to the administrative area result package, once determined as C level, the high-risk package is automatically included in the rectification list, the system generates a rectification sheet and assigns the responsible unit and deadline, and simultaneously links the quality inspection points and spatial verification evidence in the sidebar to locate the problem source. The delivery time, response time, completion time and review results in the rectification process are recorded, and the Gantt chart is updated in real time with the actual progress and re-evaluation conclusion.

[0032] The application deeply couples the right registration database and process characteristics such as progress and quality through the hierarchical architecture of "infrastructure layer-data layer-platform layer-application layer": the bottom layer provides high reliable storage and security protection with IT resources such as servers, switches, routers, intrusion detection and disk arrays; the data layer integrates multi-source heterogeneous data such as vector / raster, oblique photography, BIM and point cloud under the unified coordinate and projection specification, and supports one-key quality inspection and trace storage with integrity / specification / logicality, significantly improving data consistency and availability; the platform layer publishes OGC standard two / three-dimensional services with iDesktopX and iServer, supporting standardized supply and cross-source interoperability; the application layer encapsulates spatial analysis, three-dimensional scene and statistical capabilities into a one-screen cockpit of "level assessment + Gantt chart + city and county dispatch": by building a feature library and training a level assessment model, quality, topology and process items are quantified into continuous risk scores, combined with weighted error cost and monthly playback optimization to stabilize the threshold, the result package is divided into A / B / C levels, realizing the upgrade from "display query" to "assessment-early warning-repair-re-evaluation" closed loop; the management end links the level identification of the color coding with the planned / actual / predicted three-track Gantt chart according to the city-district-county-result package multi-level, automatically issues a rectification sheet for C level high-risk and records the whole process, promoting problem positioning, time tracking and result review; overall, the system considers standardization, two / three-dimensional integration, quality measurability and dispatch executability, significantly reduces the management cost caused by false positives / false negatives and inconsistent cross-period indicators, and improves overall efficiency, data reliability and decision-making timeliness.

[0033] The above is merely a specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which shall be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

[0034] Finally: the above only for the preferred embodiments of the present application, and not for limiting the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application, should be included in the scope of protection of the present application.

Claims

1. A natural resource right registration management system based on big data, characterized in that, The application relates to a natural resource right registration management system, which comprises an infrastructure layer, a data layer, a platform layer and an application layer. The infrastructure layer is used for providing IT resources for the natural resource right registration management system. The data layer takes the natural resource right registration result data as the core, and uniformly manages and uploads the natural resource right registration result data. The platform layer is used for standardizing service release and safety control. The application layer encapsulates two-dimensional and three-dimensional data services of the platform layer into a business interface, and integrates a screen type decision-making entrance through "grade evaluation + horizontal graph + city and county scheduling". The application layer further comprises a right grade evaluation module, which is used for constructing a feature library, training a grade evaluation model, providing auxiliary decision-making for city-level unified management and scheduling, and comprises the following steps: Y1, through presetting rules for various registration units, one-key quality inspection is realized, a report is generated, after standardization storage and traceability review, the data is brought into resource services, the registration unit is associated with right scheduling attributes and statistical data through integrated management, and finally the data is aggregated in the result package dimension to construct the feature library; Y2, the grade evaluation model is trained based on the feature library, two parallel ideas are adopted for mutual verification, and a comprehensive score and a risk score are formed, which are used as a composite score after unification; Y3, the composite score is mapped into three risk grades under a stable threshold; Y4, based on the three risk grades, in the unified management and scheduling view after the "city-level account" is logged in, each result package in the city and each county is displayed in a horizontal graph three time tracks to show the planning, actual and predicted progress, and the registration and grade information is directly overlaid through color coding, and the manager can select and download and view the abnormal nodes according to administrative regions and result packages. 2.The big data-based natural resource right registration management system according to claim 1, characterized in that, In Y3, the mapping process is as follows: firstly, the integrity, correctness and consistency checking items are precipitated as measurable features as the quality baseline of scoring through the real process of "one-key quality inspection, quality inspection report and batch storage" supported by the platform; meanwhile, the quantified evidence of progress and spatial relationship is formed by using the capabilities of layer service, spatial positioning, three-dimensional scene superposition and statistical analysis, which is used as the scene input of scoring; then the above features are sent into the grade evaluation model to obtain a continuous risk score, and the monthly playback is carried out by using the space-time data service and visualization support, and two stable thresholds are optimized, so that the weighted cost of false positives and false negatives reaches the management side target, and the grading proportion falls into the management expected interval; finally, after the thresholds are determined, the result packages with a comprehensive score greater than the upper threshold are marked as A level, indicating that the quality and progress are stable and the spatial consistency meets the standard, the result packages between the upper and lower thresholds are marked as B level, indicating that there is controllable deviation and needs to be tracked, and the result packages below the lower threshold are marked as C level, indicating that there is a significant quality or progress risk and needs to be immediately rectified. 3.The big data-based natural resource right registration management system of claim 1, wherein, The infrastructure layer comprises servers, switches, firewalls, routers, intrusion detectors, disk arrays and operation and maintenance supporting devices of machine rooms. The servers provide calculation and application bearing, the switches realize high-speed interconnection of devices, the routers support cross-network communication, the intrusion detectors monitor abnormal access, the disk arrays provide centralized storage and backup, and the operation and maintenance supporting devices guarantee the operation of the IT environment. 4.The big data-based natural resource right registration management system according to claim 1, characterized in that, The base data of the data layer comprises basic geographic information data, natural resource right registration result data and regional oblique photography data, and multi-source heterogeneous data such as vector / raster, oblique photography, BIM and laser point cloud are fused to support two-dimensional and three-dimensional integrated expression and analysis. 5.The big data based natural resource right registration management system according to claim 1, characterized in that, The data quality inspection of the data layer supports error processing: an error list is generated after quality inspection, and the error is subjected to "exception", "cancel exception", "export error", and "copy error information" operations, and the error information is exported in Excel format.

6. The big data-based natural resource right registration management system according to claim 1, characterized in that, The platform layer includes idesktopX, iServer, and a natural resource right confirmation registration information management platform; the idesktopX undertakes data editing, import and export, conversion, graphic editing, attribute query, and multi-source heterogeneous data fusion processing; The iServer publishes API / service, three-dimensional scene service, and data query service conforming to the OGC standard; The natural resource right confirmation registration information management platform provides basic functions, data dynamic warehousing, quality inspection, integrated management, map output, and data update functions. 7.The big data-based natural resource right registration management system according to claim 1, characterized in that, The "one-key quality inspection" function of the natural resource right confirmation registration information management platform: configuration inspection rules cover the consistency and compliance of registration unit data, and create a right confirmation registration database and load it into the warehouse after quality inspection; the "data update" function supports spatial and attribute modification of the registration unit, and directly pushes the data to the warehouse to replace the original data after the audit is passed. 8.The big data-based natural resource right registration management system according to claim 1, wherein, The application layer includes layer directory, layer control, resource retrieval, spatial positioning, and multi-source data superposition, provides three-dimensional roaming, split / rolling shutter comparison, attribute query, and classification statistics, supports non-repetition / non-missing, visibility, slope direction, visible range, and excavation analysis. 9.The big data-based natural resource right registration management system according to claim 1, wherein, The two-dimensional and three-dimensional integrated data model of the data layer supports integrated expression and analysis of outdoor / indoor and macro / micro, and meets the spatial analysis and comprehensive display requirements of right confirmation registration.

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