Data integration and utilization management system based on land surveying and mapping

Abstract

The invention relates to the technical field of land resource management, and discloses a data integration and utilization management system based on land surveying and mapping, the system comprises a governance module, a storage module and an access module, the governance module integrates multi-source land surveying and mapping data by constructing a fused data recording structure; the storage module stores the integrated data to a corresponding database system according to the data type, constructs a multi-level index to improve the retrieval efficiency, and generates a multi-dimensional visual view at the same time; and the access module carries out authority verification and security control based on role and business process stages to ensure the security and compliance of data access. According to the method, standardized integration, efficient storage and rapid retrieval of multi-source data are realized, the data security management level is improved, multi-dimensional visual display is supported, and the efficiency and accuracy of land resource management are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of land resource management technology, and in particular to a data integration and utilization management system based on land surveying. Background Technology

[0002] As a vital national strategic asset, the accurate and efficient surveying, planning, and management of land resources are crucial. With the rapid development of remote sensing technology, Geographic Information Systems (GIS), and Global Navigation Satellite Systems (GNSS), the land surveying industry has entered an era driven by multi-source data. Currently, the sources of land surveying data are increasingly diversified, mainly including but not limited to: macroscopic and periodic imagery data acquired through satellite remote sensing; high-resolution and flexible oblique photogrammetry data acquired through UAV aerial surveying; and precise point location data acquired through ground surveying equipment such as total stations.

[0003] Currently, Chinese patent application number [application number missing] discloses an intelligent analysis and management system for land surveying data. This system uses an information retrieval module to retrieve target surveying data from a target repository based on a retrieval whitelist. Upon receiving the target surveying data, the communication management module executes a mapping relationship script to instantly generate a mapping relationship document. Based on this document, the system converts the target surveying data into surveying communication data and its flag data, which are then transmitted. After transmission, the mapping relationship document is deleted. This method ensures the security of the mapping relationship document used for conversion, avoiding the risk of information leakage due to document retention, and guarantees the security of target surveying data transmission. Similarly, timely deletion of unnecessary documents effectively releases system resources and improves the overall system efficiency.

[0004] Regarding the aforementioned and existing related technologies, the inventors believe that the following shortcomings often exist: lack of unified coding standards and integration mechanisms; storage systems cannot efficiently process structured and unstructured data; single indexing methods cannot support complex queries; and permission management is crude and cannot be dynamically adjusted according to business processes, limiting the in-depth application of land resource management, failing to provide multi-dimensional dynamic views, and focusing more on data accuracy. Summary of the Invention

[0005] The technical problem to be solved by this invention is that the existing technology has the disadvantages of lacking a unified coding standard and integration, having a single indexing method, having a rough permission management system, and not providing data visualization and multi-dimensional dynamic views. To address this, we propose a data integration and utilization management system based on land surveying.

[0006] To achieve the above objectives, this application adopts the following technical solution: a data integration and utilization management system based on land surveying, comprising: The governance module is used to construct a fusion data record structure based on the management scope of multi-source land surveying data, and to perform integration operations on the multi-source land surveying data according to the fusion data record structure to obtain integrated multi-source data; The storage module is used to store the integrated multi-source data into the corresponding database system according to the data type, build and maintain multi-level indexes for data retrieval, and obtain multi-dimensional visualization views based on the integrated multi-source land surveying data; The access module is used to perform permission verification and security control on access requests for the multi-source land surveying data according to roles and business process stages, record access information, and obtain the corresponding multi-dimensional visualization view based on the permission verification.

[0007] The preferred governance module specifically includes: The integrated data record structure includes a basic information field, an integrated information field, a storage information field, and an access information field; The governance module includes an integration unit, which includes: A unified data collection standard was adopted, and multi-source land mapping data was acquired through satellite remote sensing, UAV aerial surveying, and total station measurement. Use ETL tools to convert the multi-source land survey data in different formats into a unified format to obtain multi-source data; A predefined land resource surveying and mapping data coding system is used to uniformly code topography, land type, and ownership information; By establishing a data mapping relationship table, the same attribute fields in the multi-source data are mapped, and the multi-source data is integrated to obtain integrated multi-source data.

[0008] Preferably, the governance module further includes: The governance module further includes a management unit, which includes: Based on the integrated multi-source data, the integrated information field is obtained, and the relationship information of the integrated multi-source data is recorded in the integrated information field. The relationship information includes data source information, collection time information, coordinate system information, surveying instrument parameter information, and land category change history information.

[0009] Preferably, the storage module specifically includes: The integrated multi-source data includes structured attribute data, unstructured image data, unstructured document data, and spatiotemporal data; The structured attribute data is multi-source data with data values; The unstructured image data refers to images captured by UAV aerial surveys. The unstructured document data is text obtained from total station measurements; The spatiotemporal data refers to three-dimensional spatial data with existing time nodes acquired by satellite remote sensing; The structured attribute data is then transferred to a relational database for storage. The unstructured image data and unstructured document data are then transferred to a non-relational database for storage. Spatiotemporal data is transmitted to a distributed storage system for storage.

[0010] Preferably, the storage module further includes a composite index unit: The composite index unit is used to perform both R-Tree and B-Tree indexes simultaneously. The R-Tree index is used to index the spatiotemporal data; B-Tree indexes are used to index the attribute data.

[0011] Preferably, the multidimensional visualization view specifically includes: The multi-dimensional visualization view includes a map overlay view, a 3D model view, and a time-series animation view; The integrated multi-source data is obtained from relational databases, non-relational databases, and distributed storage systems via command line, and the spatiotemporal data and attribute data of the integrated multi-source data are retrieved using the R-Tree index and B-Tree index; The retrieved integrated multi-source data is then processed according to data type and spatial attributes to obtain multiple independent thematic layers, including a satellite remote sensing image base layer, a terrain elevation layer, a land use boundary layer, and a property rights information layer. The layer management engine is used to spatially register and overlay multiple thematic layers to obtain the overlay map view.

[0012] Preferably, the multidimensional visualization view further includes: Based on the map overlay view, the terrain elevation data and surface image data are fused together using a 3D rendering engine to obtain a 3D terrain model with real geographic coordinates. The 3D model view is then constructed by attaching land type and ownership information to the 3D terrain model. If the acquisition time in the relationship information of the integrated multi-source data is not empty, then the acquisition time is used as a timestamp, and the timestamp is used as the driving force to update the three-dimensional model view to obtain the time-series animation view.

[0013] Preferably, the roles and business process stages include: Based on the RBAC model, a set of roles is defined, which includes surveyors, data analysts, and managers; Based on the business process stages, data access permissions are assigned and adjusted for the set of roles. The business process stages include the field surveying stage, the office processing stage, and the data application stage.

[0014] Preferably, the business process stages specifically include: During the field surveying stage, surveyors can only access and upload the multi-source land surveying data. When viewing the multi-dimensional visualization view, the multi-dimensional visualization view will only display the multi-source land surveying data. The internal processing stage allows data analysts to access the integrated multi-source data and perform integration unit processing, but they do not have access to the multi-source land surveying data. When viewing the multi-dimensional visualization view, the multi-dimensional visualization view will only display the integrated multi-source data. The data application stage allows administrators to access soil survey data and perform storage module operations. When viewing the multi-dimensional visualization view, the multi-dimensional visualization view will only display the integrated multi-source data. The soil survey data includes multi-source land survey data, multi-source data, and integrated multi-source data.

[0015] Preferably, the access module specifically includes: The access module further includes a security encryption unit, which includes: During the integrated multi-source data writing and storage stage, the AES algorithm is used to encrypt sensitive data; During the phase of integrating multi-source data for external transmission, the SSL / TLS protocol is used for channel encryption.

[0016] The access module further includes a permission management unit, which includes: Define the inheritance relationship in the set of roles, whereby administrators inherit the permissions of data analysts and surveyors, and support automatic switching of permissions based on the business process stage.

[0017] The technical effects and advantages of this invention are as follows: By adopting a unified collection standard through the governance module, multi-source data is converted into a unified format using ETL tools, and topography, land cover, and ownership information are uniformly encoded based on a predefined encoding system. Accurate mapping of fields with the same attribute is achieved through a data mapping relationship table, realizing seamless integration of multi-source data. This integration mechanism not only improves data consistency and accuracy but also reduces data redundancy and errors. By selecting the optimal database system based on data type, such as structured attribute data, unstructured image and document data, and spatiotemporal data, and constructing multi-level indexes, data storage efficiency and retrieval speed are significantly improved, while data security and... In terms of access control, the access module defines roles and business process stages based on the RBAC model, enabling refined dynamic allocation of permissions. Combined with AES algorithm for encrypted storage of sensitive data and SSL / TLS protocol for channel encryption of data transmission, it effectively prevents data leakage and tampering, ensuring data security throughout its entire lifecycle. The storage module generates multi-dimensional visualization views, and the layer management engine and 3D rendering engine present data in an intuitive form, supporting users in spatial analysis and decision-making. This invention improves the management efficiency and application value of land surveying data, promotes the scientific planning and rational utilization of land resources, and has broad socio-economic benefits.

[0018] The main innovation of this invention lies in its simple working principle, which involves constructing a closed-loop system with interconnected "structure-storage-access" links. This system transforms the originally discrete, heterogeneous, and high-risk land surveying data processing workflow into a standardized, intelligent, secure, and controllable organic whole.

[0019] The principle of the governance module is to establish a unified data record structure as a common language and standard template for all data, which solves the problem of heterogeneity of multi-source data, realizes the unification and integration of data from the source, and lays the foundation for all subsequent operations.

[0020] The principle of the storage module: It adopts a divide-and-conquer storage strategy and a composite index mechanism to solve the problem of storage and retrieval efficiency of massive data, and realizes the transformation of data from static numbers to dynamic views, thereby improving the insight of data.

[0021] The principle of the access module is to implement dynamic permission mapping based on roles and business processes, which solves the problems of coarse and static permission management, and achieves deep binding between permissions and business processes. Under the premise of ensuring security, it ensures that data is accessed by the right person at the right time. Attached Figure Description

[0022] The disclosure of this invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. In the drawings, the same reference numerals are used to refer to the same parts: Figure 1 This is a schematic diagram of the data integration and utilization management system based on land surveying of the present invention; Figure 2 This is a schematic diagram of the data integration and management process of the land surveying-based data integration and utilization management system of the present invention; Figure 3 This is a schematic diagram illustrating the generation of a multi-dimensional visualization view for the land surveying-based data integration and utilization management system of the present invention. Detailed Implementation

[0023] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable structural methods and implementations without altering the essential spirit of the invention. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0024] Reference Figure 1 As shown, the present invention provides a technical solution: a data integration and utilization management system based on land surveying, comprising: The governance module is used to construct a fusion data record structure based on the management scope of multi-source land surveying data, and to perform integration operations on the multi-source land surveying data according to the fusion data record structure to obtain integrated multi-source data.

[0025] The storage module is used to store the integrated multi-source data into the corresponding database system according to the data type, build and maintain multi-level indexes for data retrieval, and obtain multi-dimensional visualization views based on the integrated multi-source land surveying data.

[0026] The access module is used to perform permission verification and security control on access requests for the multi-source land surveying data according to roles and business process stages, record access information, and obtain the corresponding multi-dimensional visualization view based on the permission verification.

[0027] Reference Figure 1 As shown in this implementation scheme: The governance module is used to construct an integrated data record structure based on the management scope of multi-source land surveying data, and to perform integration operations on multi-source land surveying data to obtain integrated multi-source data. The governance module includes an integration unit and a management unit.

[0028] Explained, the integrated data record structure is a standardized data structure used to uniformly describe the attributes and relationships of multi-source land surveying data. It includes four core fields: Basic Information field, which records the basic attributes of the data, such as data identifier, name, version number, and creation time. For example, the data identifier uses a unique UUID encoding to ensure the uniqueness of each data entry; Integration Information field, which records relevant information during the data integration process, such as data source, acquisition time, coordinate system, surveying instrument parameters, and land use change history. This information is defined through metadata standards, such as ISO 19115, to facilitate data traceability; Storage Information field, which records the physical location and format of the data storage, such as database table name, file path, or distributed storage node address; and Access Information field, which records the data access log, including visitor role, operation type, and timestamp.

[0029] Working principle: By defining a unified field specification, users can solve the problem of inconsistent data formats from multiple sources. For example, in land surveying, satellite remote sensing data may use the WGS84 coordinate system, while total station data may use a local coordinate system. By integrating the coordinate system of information fields and converting them into the CGCS2000 coordinate system, spatial consistency of the data is ensured.

[0030] In this embodiment, the integrated data record structure improves data interoperability and manageability, reduces data redundancy and errors, and lays the foundation for subsequent integration operations. Data integration efficiency is improved by approximately 30%, and data parsing time is reduced due to field standardization.

[0031] Reference Figure 2 As shown in this implementation scheme: The integration unit is responsible for cleaning, transforming, and mapping multi-source land surveying data.

[0032] Explained, multi-source land mapping data is acquired using unified acquisition standards through satellite remote sensing, UAV aerial surveying, and total station measurement equipment. These standards include data resolution, accuracy requirements, and format standards. For example, satellite remote sensing image resolution is no less than 2 meters, UAV aerial survey data uses LAS point cloud format, and total station measurement data is output as CSV text. ETL tools, such as Apache... NiFi converts data from different formats into a unified format. For example, it converts GeoTIFF satellite imagery to GeoJSON format and LAS point cloud data to Shapefile format. The conversion process includes data extraction (reading from the source system), conversion (applying format rules), and loading (writing to the target system). The land resource mapping data coding system adopts a hierarchical structure. Topographic coding includes landform types such as plains, mountains, and elevation levels; land category coding includes cultivated land, forest land, and construction land; and ownership coding includes ownership and usage rights information. The coding process is implemented through automated scripts, such as using Python scripts to parse data attributes and map them to a coding table. A mapping relationship table defines the correspondence between source and target fields. For example, the "flight altitude" field in UAV aerial survey data is mapped to the "acquisition parameters" field in the fused structure. Mapping rules include direct mapping (field names are the same) and conversion mapping (fields need to be calculated or formatted). In one embodiment, the coding system can adopt the national standard GB / T 13923-2006.

[0033] How it works: Users transform heterogeneous data into homogeneous data using ETL tools and coding systems, solving the technical challenges of multi-source data fusion. Data mapping is based on relational algebra principles, ensuring semantic consistency of attribute fields.

[0034] In this embodiment, seamless integration of multi-source data is achieved, the data integration accuracy is increased to over 95%, and manual intervention is reduced. For example, in land change surveys, the multi-source data integration time is shortened from hours to minutes.

[0035] The management unit is used to record the relationship information of integrated multi-source data, which is stored in the integration information field.

[0036] Explanatory information includes: data source information such as satellite model, UAV brand and total station model; acquisition time information such as accurate to the second for time series analysis; coordinate system information such as WGS84 and CGCS2000 to ensure spatial data consistency; surveying instrument parameter information such as resolution, accuracy and calibration parameters; and land use change history information such as the time point and reason for recording land use changes.

[0037] How it works: Users can automatically capture and update relationship information during data integration by using database triggers or event listeners. For example, when data is modified, the trigger will write the change record to the history table.

[0038] In this embodiment, the traceability and auditability of data are enhanced, enabling the rapid identification of data sources and change history in land ownership disputes, thereby improving data credibility.

[0039] The storage module is used to store integrated multi-source data into the corresponding database system according to data type, build and maintain multi-level indexes for data retrieval, and generate multi-dimensional visualization views based on the integrated multi-source data. The storage module includes data storage strategies, composite index units, and visualization view generation units.

[0040] Data storage strategies are used to integrate data from multiple sources.

[0041] Interpretationally, structured attribute data consists of multi-source data with explicit data values, such as land use codes, areas, and coordinate points. This data is stored in relational databases (such as MySQL) using a tabular structure. For example, a land use table contains fields such as "land use code," "area," and "coordinates." Unstructured image data consists of images taken by UAV aerial surveys, such as JPEG and PNG formats. This data is stored in non-relational databases, such as MongoDB, in binary large object format, with attached metadata such as file size and resolution. Unstructured document data consists of text obtained from total station measurements, such as PDF and TXT formats. This data is also stored in MongoDB in JSON document format for easy full-text retrieval. Spatiotemporal data consists of three-dimensional spatial data with time nodes obtained from satellite remote sensing, such as time-series remote sensing images. This data is stored in distributed storage systems, such as HBase, and is stored in time-partitioned format, with each partition containing spatial coordinates and attribute information.

[0042] How it works: Users select the optimal storage solution based on data type characteristics. Relational databases are suitable for transaction processing of structured data, non-relational databases are suitable for flexible storage of unstructured data, and distributed storage systems are suitable for horizontal scaling of massive amounts of spatiotemporal data.

[0043] In this embodiment, data storage efficiency and scalability are improved. For example, HBase supports petabyte-level data storage and reduces query latency to milliseconds.

[0044] Composite index units are used to perform both R-Tree and B-Tree indexes simultaneously to improve data retrieval efficiency.

[0045] Explained, an R-Tree is a spatial index structure that divides a geographic region into rectangular boundaries, with each node representing a spatial range. For example, the land in China can be divided into three levels of grids: provinces, cities, and counties. Each grid corresponds to an R-Tree node, supporting queries by region, such as "querying all surveying data within Beijing." A B-Tree is a balanced tree structure that indexes commonly used query fields, such as land type and time. For example, a B-Tree index can be created on the "land type code" field in the land type table, supporting fast range queries and sorting. Using both R-Tree and B-Tree indexes simultaneously can meet the needs of multi-condition combined queries. For example, when querying "2023 Beijing cultivated land data," the system first uses an R-Tree index to locate the Beijing area, and then uses a B-Tree index to filter cultivated land and 2023 data.

[0046] How it works: Users build indexes based on the database's built-in engine, such as MySQL's InnoDB which supports B-Tree and PostGIS which supports R-Tree. Composite indexes are automatically selected by the query optimizer to choose the optimal index path.

[0047] In this embodiment, the data retrieval speed is increased by more than 50%, especially in complex query scenarios, the response time is reduced from seconds to milliseconds.

[0048] Reference Figure 3 As shown in this implementation scheme: Multidimensional visualization views include map overlay views, 3D model views, and time-series animation views.

[0049] Interpretatively, multi-source data is retrieved and integrated from relational databases, non-relational databases, and distributed storage systems via command line or API interface. Spatiotemporal and attribute data are retrieved using R-Tree and B-Tree indexes, for example, retrieving "topographic elevation data of a certain area in 2023." The retrieved data is divided into multiple independent thematic layers according to data type and spatial attributes. Thematic layers include: a satellite remote sensing image base layer (providing background imagery, such as Landsat imagery); a topographic elevation layer (displaying topographic relief, such as DEM data); a land use boundary layer (marking land use boundaries, such as Shapefile format vector data); and an ownership information layer (displaying ownership scope, such as GeoJSON format ownership data). Multiple thematic layers are spatially registered using a layer management engine, such as OpenLayers, employing an affine transformation algorithm to unify the coordinate system to CGCS2000. The overlay process generates map overlay views through transparency blending and layer order adjustment. For example, overlaying the land use boundary layer onto a satellite image base map creates a visualized land use map.

[0050] Based on the map overlay view, the terrain elevation data and surface image data are fused using a 3D rendering engine such as Cesium. The elevation data is extracted through a digital elevation model, and the image data is texture-mapped to generate a 3D terrain model with real geographic coordinates. Land type and ownership information are then attached to the model, such as using color coding to represent land types, to construct a 3D model view. For example, green represents cultivated land and red represents construction land.

[0051] If the acquisition time information in the integrated multi-source data is not empty, the system uses the acquisition time as a timestamp to drive the 3D model view to be dynamically updated. For example, it can play land cover change animations in time sequence to generate time sequence animation views. The animation frame rate is adjustable, such as 1 frame / second, and supports pause and replay functions.

[0052] Working principle: Based on the principles of computer graphics, spatial registration uses geometric transformation, 3D rendering uses lighting and texture technology, and temporal animation is based on keyframe interpolation algorithm.

[0053] This embodiment provides an intuitive data display method to support users in spatial analysis and decision-making. For example, in land planning, the three-dimensional model view can simulate the impact of terrain, and the time-series animation view can predict the trend of land use change.

[0054] The access module is used to perform permission verification and security control on access requests for multi-source land surveying data according to roles and business process stages, and to record access information. The access module includes a security encryption unit and a permission management unit.

[0055] Based on the RBAC model, define the set of roles and the stages of the business process.

[0056] Explained, the role set includes surveyors, data analysts, and managers. Role inheritance means managers inherit permissions from data analysts and surveyors, forming a permission hierarchy. The business process stages include field surveying, data processing, and data application. Permissions are dynamically allocated at each stage: In the field surveying stage, surveyors can only access and upload multi-source land surveying data; when viewing the multi-dimensional visualization view, only the original surveying data (e.g., UAV aerial survey images) is displayed. In the data processing stage, data analysts can access and integrate multi-source data and perform integration unit processing (e.g., ETL transformation), but do not have access to multi-source land surveying data; when viewing the multi-dimensional visualization view, only the integrated data (e.g., coded land cover layers) is displayed. In the data application stage, managers can access all land surveying data, including multi-source land surveying data, multi-source data, and integrated multi-source data, and perform storage module operations (i.e., index reconstruction); when viewing the multi-dimensional visualization view, the integrated multi-source data is displayed.

[0057] How it works: Users access permissions through a permission matrix, where rows represent roles, columns represent data resources, and cells define operation permissions. Permission allocation is automatically switched via the workflow engine; for example, when a project phase changes, the system triggers a permission update event.

[0058] This embodiment ensures data security and compliance, and reduces the risk of unauthorized access. For example, in cross-departmental collaboration, automatic permission switching prevents data leakage.

[0059] The secure encryption unit includes data storage encryption and data transmission encryption.

[0060] Explained, data storage encryption is used during the stage of integrating multi-source data and writing it to storage. Sensitive data, such as ownership information and instrument parameters, is encrypted using the AES algorithm. The encryption key is dynamically generated through a key management system and rotated periodically, such as every 90 days. Data transmission encryption is used during the stage of integrating multi-source data and transmitting it externally. The channel is encrypted using the SSL / TLS protocol. During transmission, data packets are digitally signed to prevent tampering, and the recipient verifies its identity through a certificate.

[0061] How it works: Users use AES encryption with a symmetric key algorithm to ensure data storage security; SSL / TLS uses asymmetric encryption and hash algorithms to ensure data transmission security.

[0062] In this embodiment, data leakage and tampering are effectively prevented, and sensitive data remains confidential in the event of a cybersecurity incident.

[0063] The permission management unit is used to define role inheritance relationships and automatic permission switching.

[0064] Explained, administrators inherit the permissions of data analysts and surveyors, creating a cumulative permission system. For example, administrators can perform ETL operations by data analysts and upload operations by surveyors. Based on the business process stage, the system automatically adjusts permissions. For instance, when a project transitions from the fieldwork stage to the office work stage, the system automatically revokes the upload permissions of surveyors and grants processing permissions to data analysts.

[0065] How it works: Users can monitor the status of business processes in real time through database triggers or API hooks.

[0066] In this embodiment, operational efficiency is improved, manual configuration errors are reduced, and the response time for permission management is reduced to the second level.

[0067] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A data integration and utilization management system based on land surveying, characterized in that, include: The governance module is used to construct a fusion data record structure based on the management scope of multi-source land surveying data, and to perform integration operations on the multi-source land surveying data according to the fusion data record structure to obtain integrated multi-source data; The storage module is used to store the integrated multi-source data into the corresponding database system according to the data type, build and maintain multi-level indexes for data retrieval, and obtain multi-dimensional visualization views based on the integrated multi-source land surveying data; The access module is used to perform permission verification and security control on access requests for the multi-source land surveying data according to roles and business process stages, record access information, and obtain the corresponding multi-dimensional visualization view based on the permission verification.

2. The data integration and utilization management system based on land surveying as described in claim 1, characterized in that: The governance module specifically includes: The integrated data record structure includes a basic information field, an integrated information field, a storage information field, and an access information field; The governance module includes an integration unit, which includes: A unified data collection standard was adopted, and multi-source land mapping data was acquired through satellite remote sensing, UAV aerial surveying, and total station measurement. Use ETL tools to convert the multi-source land survey data in different formats into a unified format to obtain multi-source data; A predefined land resource surveying and mapping data coding system is used to uniformly code topography, land type, and ownership information; By establishing a data mapping relationship table, the same attribute fields in the multi-source data are mapped, and the multi-source data is integrated to obtain integrated multi-source data.

3. The data integration and utilization management system based on land surveying and mapping according to claim 2, characterized in that: The governance module also includes: The governance module further includes a management unit, which includes: Based on the integrated multi-source data, the integrated information field is obtained, and the relationship information of the integrated multi-source data is recorded in the integrated information field. The relationship information includes data source information, collection time information, coordinate system information, surveying instrument parameter information, and land category change history information.

4. The data integration and utilization management system based on land surveying and mapping according to claim 3, characterized in that: The storage module specifically includes: The integrated multi-source data includes structured attribute data, unstructured image data, unstructured document data, and spatiotemporal data; The structured attribute data is multi-source data with data values; The unstructured image data refers to images captured by UAV aerial surveys. The unstructured document data is text obtained from total station measurements; The spatiotemporal data refers to three-dimensional spatial data with existing time nodes acquired by satellite remote sensing; The structured attribute data is then transferred to a relational database for storage. The unstructured image data and unstructured document data are then transferred to a non-relational database for storage. Spatiotemporal data is transmitted to a distributed storage system for storage.

5. The data integration and utilization management system based on land surveying according to claim 4, characterized in that: The storage module also includes a composite index unit: The composite index unit is used to perform both R-Tree and B-Tree indexes simultaneously. The R-Tree index is used to index the spatiotemporal data; B-Tree indexes are used to index the attribute data.

6. The data integration and utilization management system based on land surveying and mapping according to claim 5, characterized in that: The multidimensional visualization view specifically includes: The multi-dimensional visualization view includes a map overlay view, a 3D model view, and a time-series animation view; The integrated multi-source data is obtained from relational databases, non-relational databases, and distributed storage systems via command line, and the spatiotemporal data and attribute data of the integrated multi-source data are retrieved using the R-Tree index and B-Tree index; The retrieved integrated multi-source data is then processed according to data type and spatial attributes to obtain multiple independent thematic layers, including a satellite remote sensing image base layer, a terrain elevation layer, a land use boundary layer, and a property rights information layer. The layer management engine is used to spatially register and overlay multiple thematic layers to obtain the overlay map view.

7. The data integration and utilization management system based on land surveying as described in claim 6, characterized in that: The multidimensional visualization view also includes: Based on the map overlay view, the terrain elevation data and surface image data are fused together using a 3D rendering engine to obtain a 3D terrain model with real geographic coordinates. The 3D model view is then constructed by attaching land type and ownership information to the 3D terrain model. If the acquisition time in the relationship information of the integrated multi-source data is not empty, then the acquisition time is used as a timestamp, and the 3D model view is updated using the timestamp as the driving force to obtain the time-series animation view.

8. The data integration and utilization management system based on land surveying according to claim 7, characterized in that: The roles and business process phases include: Based on the RBAC model, a set of roles is defined, which includes surveyors, data analysts, and managers; Based on the business process stages, data access permissions are assigned and adjusted for the set of roles. The business process stages include the field surveying stage, the office processing stage, and the data application stage.

9. The data integration and utilization management system based on land surveying and mapping according to claim 8, characterized in that: The specific stages of the business process include: During the field surveying stage, surveyors can only access and upload the multi-source land surveying data. When viewing the multi-dimensional visualization view, the multi-dimensional visualization view will only display the multi-source land surveying data. The internal processing stage allows data analysts to access the integrated multi-source data and perform integration unit processing, but they do not have access to the multi-source land surveying data. When viewing the multi-dimensional visualization view, the multi-dimensional visualization view will only display the integrated multi-source data. The data application stage allows administrators to access soil survey data and perform storage module operations. When viewing the multi-dimensional visualization view, the multi-dimensional visualization view will only display the integrated multi-source data. The soil survey data includes multi-source land survey data, multi-source data, and integrated multi-source data.

10. The data integration and utilization management system based on land surveying according to claim 9, characterized in that: The access module specifically includes: The access module further includes a security encryption unit, which includes: During the integrated multi-source data writing and storage stage, the AES algorithm is used to encrypt sensitive data; During the phase of integrating multi-source data for external transmission, SSL / TLS protocol is used for channel encryption; The access module further includes a permission management unit, which includes: Define the inheritance relationship in the set of roles, whereby administrators inherit the permissions of data analysts and surveyors, and support automatic switching of permissions based on the business process stage.

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