An intelligent integrated management method and system for natural resource cadastral information

Abstract

The present invention relates to the technical field of natural resource management, and in particular to an intelligent integrated management method and system for natural resource cadastral information. The method comprises the following steps: obtaining the natural resource cadastral information data of the patch to be planned and performing data integration and information data preprocessing, while extracting the spatial distribution of land control and the status of natural resources and performing time series synchronization processing to obtain the time series synchronization data of the spatial distribution of land control and the time series synchronization data of the natural resource status of the patch to be planned; performing three-dimensional elevation spatial modeling of the patch to be planned and synchronous matching mapping of the natural resource distribution for the patch to be planned, and performing intelligent management of natural resource cadastral planning, generating an intelligent management strategy for natural resource cadastral planning of the patch to be planned, so as to execute the corresponding intelligent integrated management operation of natural resource planning of the patch to be planned. The present invention can better improve the management and utilization of natural resource cadastral information.

Description

Technical Field

[0001] The present invention relates to the technical field of natural resource management, and in particular to an intelligent integrated management method and system for natural resource cadastral information. Background Art

[0002] The intelligent integrated analysis method based on new technologies combines artificial intelligence, big data analysis and geographic information system technology to provide innovative solutions for cadastral information management, thereby promoting the modernization and intelligent development of natural resource management. By introducing big data technology and machine learning algorithms, it can automatically identify, extract and integrate cadastral information data from different sources and formats, including map data, terrain data, land control data, etc. The intelligent data cleaning process can identify and eliminate redundant information and errors in the data, ensure the consistency and accuracy of cadastral information data, and provide a reliable data basis for subsequent analysis and decision-making. It also combines spatial data analysis and model prediction technology to perform spatial correlation analysis, hotspot patch identification and resource distribution model prediction on cadastral information data. These analyses and models can help decision makers understand the spatial distribution characteristics and changing trends of natural resources and optimize resource management decisions, such as land control planning, ecological environmental protection and natural disaster risk assessment. However, traditional cadastral information analysis methods usually face the problems of diverse data sources and inconsistent formats, which easily affect the process and effective utilization of natural resource planning and management. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide an intelligent integrated management method and system for natural resource cadastral information to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a method for intelligent integrated management of natural resource cadastral information includes the following steps:

[0005] Step S1: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set for the patch to be planned; performing information data preprocessing on the natural resource cadastral information data set for the patch to be planned to obtain a standard data set of resource cadastral information for the patch to be planned;

[0006] Step S2: extracting the spatial distribution of land control and the status of natural resources from the standard data set of cadastral information of the planned patch resources and performing time series synchronization processing to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the status of natural resources of the planned patch; performing three-dimensional elevation space modeling of the planned patch based on the time series synchronization data of the spatial distribution of land control of the planned patch to obtain a three-dimensional elevation space model of land control of the planned patch;

[0007] Step S3: Based on the time series synchronization data of the natural resource status of the patch to be planned, the three-dimensional elevation space model of the land control of the patch to be planned is synchronously matched and mapped with the natural resource distribution to generate a dynamic change model of the land control resource distribution of the patch to be planned;

[0008] Step S4: Perform intelligent management of natural resource cadastral planning on the dynamic change model of land control resource distribution in the planned patch, generate an intelligent management strategy for natural resource cadastral planning of the planned patch, and execute corresponding intelligent integrated management operations for natural resource planning of the planned patch.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set of the patch to be planned;

[0011] Step S12: performing information noise elimination processing on the natural resource cadastral information dataset of the planned patch to obtain a denoised cadastral information dataset of the planned patch resources;

[0012] Step S13: performing overlapping information cleaning processing on the denoised data set of the cadastral information of the planned plaque resources to obtain a deduplicated data set of the cadastral information of the planned plaque resources;

[0013] Step S14: performing histogram filtering and abnormal missing interpolation processing on the deduplication dataset of the cadastral information of the planned patch resources to obtain a missing compensation dataset of the cadastral information of the planned patch resources;

[0014] Step S15: performing format standardization processing on the missing compensation dataset of the cadastral information of the patch resources to be planned, and obtaining a standard dataset of the cadastral information of the patch resources to be planned.

[0015] Further, step S2 includes the following steps:

[0016] Step S21: extracting and processing the land control spatial distribution data of the planned patch resource cadastral information standard data set to obtain the land control spatial distribution data of the planned patch;

[0017] Step S22: extracting and processing the natural resource status data of the planned patch resource cadastral information standard data set to obtain the natural resource status data of the planned patch;

[0018] Step S23: performing time series synchronization processing on the spatial distribution data of land control of the planned patch and the natural resource status data of the planned patch to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the natural resource status of the planned patch;

[0019] Step S24: analyzing the spatial distribution characteristics of land control on the time series synchronization data of the spatial distribution of land control in the planned patch to obtain the spatial distribution change characteristic data of the land control in the planned patch;

[0020] Step S25: Based on the spatial distribution change characteristic data of the land control of the planned patch, three-dimensional elevation space modeling of the patch to be planned is performed to obtain a three-dimensional elevation space model of the land control of the planned patch.

[0021] Further, step S25 includes the following steps:

[0022] Step S251: performing spatial elevation data analysis on the patch to be planned to obtain spatial elevation data of the patch to be planned;

[0023] Step S252: performing spatial elevation point cloud analysis on the spatial elevation data of the patch to be planned to obtain a spatial elevation point cloud set of the patch to be planned;

[0024] Step S253: performing initial three-dimensional elevation space modeling on the patch to be planned based on the spatial elevation point cloud of the patch to be planned, so as to obtain an initial three-dimensional elevation space model of the patch to be planned;

[0025] Step S254: subdividing the spatial distribution change characteristic data of the land control of the planned patch into change time series points, and obtaining the distribution change characteristic data of the land control of the planned patch at each change time series point;

[0026] Step S255: Based on the land control distribution change characteristic data of the planned patch at each change time sequence point, the three-dimensional elevation space initial model of the planned patch is subjected to land control change fusion optimization processing to obtain the three-dimensional elevation space model of the land control of the planned patch.

[0027] Further, step S255 includes the following steps:

[0028] Performing feature corner point extraction processing on the feature data of the distribution change of the land control of the patch to be planned at each time series point of change, and obtaining a feature corner point set of the land control change of the patch to be planned at each time series point of change;

[0029] The characteristic corner point set of the land control change of the to-be-planned patch at each change time sequence point is transformed into a three-dimensional space coordinate system to obtain the characteristic corner point set of the land control change of the to-be-planned patch at each change time sequence point in a three-dimensional space state;

[0030] Based on the characteristic corner point set of the land control change of the planned patch in the three-dimensional space state at each change time sequence point, the initial model of the three-dimensional elevation space of the planned patch is initially fused with the land control change to obtain the preliminary fused elevation space model of the land control of the planned patch;

[0031] Perform distribution evolution impact correction analysis on the distribution change characteristic data of the planned patch land control at each time series point to obtain the distribution evolution impact correction value of the planned patch land control at each time series point;

[0032] According to the correction value of the evolution of the land control distribution of the planned patch at each time series point, the preliminary fusion elevation space model of the land control of the planned patch is optimized to obtain the three-dimensional elevation space model of the land control of the planned patch.

[0033] Furthermore, the distribution evolution impact correction analysis of the land control distribution change characteristic data of the planned patch at each change time sequence point includes the following steps:

[0034] The land control type and spatial distribution range of the land control distribution change characteristic data of the to-be-planned patch at each time series point of change are extracted and processed to obtain the land control type change data of the to-be-planned patch at each time series point of change and the land control spatial distribution range data of the to-be-planned patch;

[0035] The distribution coverage area of ​​the land control space distribution range data of the to-be-planned patch at each time-series point of change is calculated to obtain the size of the land control space distribution coverage area of ​​the to-be-planned patch at each time-series point of change;

[0036] The spatial distribution evolution mining analysis is performed on the characteristic data of the distribution change of the land control of the planned patch at each time series point, and the spatial distribution evolution relationship of the land control of the planned patch at each time series point is obtained;

[0037] Based on the spatial distribution evolution relationship of the land control of the planned patch at each time-series point, the change data of the land control type of the planned patch at each time-series point and the size of the spatial distribution coverage area of ​​the land control of the planned patch are evaluated and analyzed to obtain the influence factors of the land control type distribution evolution and the influence factors of the land control spatial coverage area distribution evolution at each time-series point;

[0038] Based on the land control type distribution evolution influencing factors and the land control spatial coverage area distribution evolution influencing factors at each time series point of change, the distribution evolution impact correction analysis is carried out on the land control distribution change characteristic data of the to-be-planned patch at each time series point of change to obtain the distribution evolution impact correction value of the land control patch to be planned at each time series point of change.

[0039] Further, step S3 includes the following steps:

[0040] Step S31: analyzing the temporal and spatial variation trend of natural resource conditions in the planned patch on the time series synchronization data, and obtaining the temporal and spatial variation trend data of natural resource conditions in the planned patch;

[0041] Step S32: Based on the temporal and spatial variation trend data of the natural resource status of the planned patch, the time series synchronization data of the natural resource status of the planned patch is analyzed to obtain the spatial distribution status data of the natural resource variation of the planned patch;

[0042] Step S33: performing three-dimensional spatial coordinate positioning analysis on the spatial distribution status data of the natural resource changes in the planned patch to obtain the spatial distribution position positioning coordinates of the natural resource changes in the planned patch;

[0043] Step S34: performing resource distribution vector conversion on the spatial distribution status data of the natural resource changes in the planned patch based on the spatial distribution position positioning coordinates of the natural resource changes in the planned patch to obtain the distribution space vector of the natural resource changes in the planned patch;

[0044] Step S35: Perform natural resource distribution synchronous matching mapping on the three-dimensional elevation space model of land control in the planned patch according to the distribution space vector of natural resource changes in the planned patch, so as to generate a dynamic change model of land control resource distribution in the planned patch.

[0045] Further, step S4 includes the following steps:

[0046] Step S41: analyzing the ownership target of land control resources on the dynamic change model of land control resources distribution in the planned patch to obtain the ownership target of land control resources change in the planned patch;

[0047] Step S42: analyzing the ownership target resource configuration task of the planned patch land control resource change ownership target to obtain the patch land control resource ownership target configuration task;

[0048] Step S43: Perform resource planning suggestion analysis on the target configuration task of the patch land control resource ownership to obtain a patch land control natural resource planning suggestion plan;

[0049] Step S44: According to the proposed natural resource planning scheme for patch land control, the dynamic change model of land control resources distribution in the patch to be planned is intelligently managed for natural resource cadastral planning, and an intelligent management strategy for natural resource cadastral planning of the patch to be planned is generated to execute the corresponding intelligent integrated management operation for natural resource planning of the patch to be planned.

[0050] Furthermore, the present invention also provides an intelligent integrated management system for natural resource cadastral information, which is used to execute the intelligent integrated management method for natural resource cadastral information as described above. The intelligent integrated management system for natural resource cadastral information comprises:

[0051] The patch natural resource cadastral information integration module is used to obtain the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and perform data integration to obtain the natural resource cadastral information data set of the patch to be planned; perform information data preprocessing on the natural resource cadastral information data set of the patch to be planned, so as to obtain the standard data set of resource cadastral information of the patch to be planned;

[0052] The patch land control three-dimensional elevation spatial modeling module is used to extract the land control spatial distribution and natural resource status of the planned patch resource cadastral information standard data set and perform time series synchronization processing to obtain the time series synchronization data of the land control spatial distribution of the planned patch and the time series synchronization data of the natural resource status of the planned patch; based on the time series synchronization data of the land control spatial distribution of the planned patch, the patch three-dimensional elevation spatial modeling is performed on the planned patch, thereby obtaining the three-dimensional elevation spatial model of the land control of the planned patch;

[0053] The patch natural resource distribution synchronization matching mapping module is used to perform natural resource distribution synchronization matching mapping on the three-dimensional elevation space model of land control of the patch to be planned based on the time series synchronization data of the natural resource status of the patch to be planned, so as to generate a dynamic change model of land control resource distribution of the patch to be planned;

[0054] The intelligent management module for patch natural resource planning is used to carry out intelligent management of natural resource cadastral planning for the dynamic change model of land control resource distribution in the patch to be planned, generate intelligent management strategies for natural resource cadastral planning of the patch to be planned, and execute corresponding intelligent integrated management operations for natural resource planning of the patch to be planned.

[0055] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed, the intelligent integrated management method for natural resource cadastral information as described above is implemented.

[0056] Beneficial effects of the present invention:

[0057] 1. The intelligent integrated management method of natural resource cadastral information proposed in the present invention has the beneficial effect of obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration, which is a key step to ensure the accuracy and comprehensiveness of the subsequent natural resource planning process. This process involves collecting and integrating the corresponding natural resource cadastral information from various cadastral data sources (such as geographic information systems, satellite remote sensing data sources, and sensor data sources, etc.) to establish a comprehensive natural resource cadastral information data set for the patch to be planned. Through data integration, not only the basic geographic information such as the terrain, soil, and water resources of the region can be obtained, but also important data such as land control conditions and natural resource conditions can be included, thereby providing necessary basic information for subsequent planning decisions. By preprocessing the natural resource cadastral information data set of the planning patch (including denoising, deduplication, filtering, missing interpolation and format standardization), in this processing stage, by using data cleaning and data analysis and processing tools, it is possible to identify and eliminate existing data errors, inconsistencies or incompleteness, and ensure that data misuse or confusion caused by duplication or cross-references in the planning process is avoided. It is also possible to unify the representation methods and data formats of various natural resource cadastral information in the data set, including unified units, coordinate systems, data field naming, etc., to facilitate interoperability and data exchange between different data sources and analysis tools, reduce the error rate in data integration and application, and improve the manageability and maintainability of data, thereby providing accurate and unified format natural resource cadastral information data support for subsequent planning and management decisions. Secondly, the spatial distribution data of land control is extracted and processed from the standard data set of cadastral information of planned patches in order to deeply understand and analyze the current status of land control and its spatial distribution characteristics. Through this step, various types of cadastral data can be extracted and integrated from a multi-dimensional perspective, including the spatial distribution of different types of land control (such as residential areas, commercial areas, industrial areas, etc.). These data not only cover the area and boundary information of the plots, but also include the classification statistics of land control types and the spatial distribution map of geographic information. The data of natural resource status is also extracted and processed from the standard data set of cadastral information of planned patches in order to fully understand and evaluate the natural resource situation in the planned patches, including soil type, topography, water resource distribution, vegetation coverage and other natural resource information. By accurately extracting and integrating these data, the impact of the natural environment on land control can be analyzed, and the sustainable utilization of natural resources and the need to protect important ecosystems can be evaluated.The purpose of synchronously processing the spatial distribution data of land control and the status data of natural resources in the planned patches is to capture and analyze the time series data of land control changes and natural resource dynamics. Through synchronous processing, the land control and natural resource data in different time periods can be matched to form a time series data set. This comprehensive analysis helps to identify and understand the trend of land control changes, evaluate changes in resource utilization efficiency, and explore existing natural resource management strategies and planning adjustment plans. At the same time, the three-dimensional elevation space modeling of the planned patches based on the time-series synchronization data of the spatial distribution of land control in the planned patches is to present the current status of land control and its future development trend in a more intuitive and specific form. By establishing a three-dimensional elevation space model, the spatial distribution and changes of different land control types can be accurately expressed, thereby providing a realistic geographical spatial perception of land control distribution. Then, the natural resource distribution is synchronously matched and mapped to the three-dimensional elevation space model of land control in the planned patch based on the time series synchronization data of the natural resource status of the planned patch. The purpose is to synchronize and map the spatial distribution information of natural resources with the land control model. Through this step, the distribution status and change trend of different natural resources in the geographic space can be accurately displayed in the three-dimensional elevation space model, thereby generating a dynamic resource distribution model. This model not only helps to evaluate resource utilization efficiency and environmental impact, but also provides visualization and quantitative analysis tools for subsequent processing. Finally, the intelligent management of natural resource cadastral planning is carried out on the dynamic change model of land control resource distribution in the planned patch, in order to transform theoretical analysis into an effective strategy for practical operation. Through the intelligent management process, land control changes, resource utilization efficiency and environmental impact can be monitored in real time, so as to adjust and optimize management strategies in time. This management method not only improves resource utilization efficiency, but also effectively prevents and solves problems in land control natural resource management, so as to better realize the process and effective utilization of natural resource planning management.

[0058] 2. The intelligent integrated management system of natural resource cadastral information proposed in the present invention is composed of a patch natural resource cadastral information integration module, a patch land control three-dimensional elevation space modeling module, a patch natural resource distribution synchronous matching mapping module and a patch natural resource planning intelligent management module. It can realize the intelligent integrated management method of any natural resource cadastral information described in the present invention, and is used to combine the operations between computer programs running on each module to realize the intelligent integrated management method of natural resource cadastral information. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient intelligent integrated management process of natural resource cadastral information, thereby simplifying the operating procedures of the intelligent integrated management system of natural resource cadastral information.

[0059] 3. A computer-readable storage medium proposed in the present invention is used to store and read relevant data of the intelligent integrated management method of natural resource cadastral information, so as to perform more efficient processing and integration of cadastral information and ensure data integrity. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0061] Figure 1 A schematic diagram of the steps of the intelligent integrated management method of natural resource cadastral information of the present invention;

[0062] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0063] Figure 3 for Figure 1 Detailed step flow chart of step S2 in FIG. DETAILED DESCRIPTION

[0064] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0065] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0066] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0067] To achieve this, please refer to Figures 1 to 3The present invention provides an intelligent integrated management method for natural resource cadastral information, the method comprising the following steps:

[0068] Step S1: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set for the patch to be planned; performing information data preprocessing on the natural resource cadastral information data set for the patch to be planned to obtain a standard data set of resource cadastral information for the patch to be planned;

[0069] Step S2: extracting the spatial distribution of land control and the status of natural resources from the standard data set of cadastral information of the planned patch resources and performing time series synchronization processing to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the status of natural resources of the planned patch; performing three-dimensional elevation space modeling of the planned patch based on the time series synchronization data of the spatial distribution of land control of the planned patch to obtain a three-dimensional elevation space model of land control of the planned patch;

[0070] Step S3: Based on the time series synchronization data of the natural resource status of the patch to be planned, the three-dimensional elevation space model of the land control of the patch to be planned is synchronously matched and mapped with the natural resource distribution to generate a dynamic change model of the land control resource distribution of the patch to be planned;

[0071] Step S4: Perform intelligent management of natural resource cadastral planning on the dynamic change model of land control resource distribution in the planned patch, generate an intelligent management strategy for natural resource cadastral planning of the planned patch, and execute corresponding intelligent integrated management operations for natural resource planning of the planned patch.

[0072] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a flow chart of the steps of the intelligent integrated management method of natural resource cadastral information of the present invention. In this example, the intelligent integrated management method of natural resource cadastral information includes the following steps:

[0073] Step S1: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set for the patch to be planned; performing information data preprocessing on the natural resource cadastral information data set for the patch to be planned to obtain a standard data set of resource cadastral information for the patch to be planned;

[0074] In an embodiment of the present invention, by determining the data source of natural resource cadastral information, which involves data provided by a natural resource environmental protection agency or a geographic information system, for example, in an ecological protection area planning, the data source includes the ecological survey report of the environmental protection department, the land control statistics of the land management department, and the spatial data in the geographic information system. These data usually exist in different formats and standards, and by using data integration technology, such as ETL (extraction, transformation, loading) tools or custom scripts, they are integrated into a unified natural resource cadastral information data set, thereby obtaining a natural resource cadastral information data set for the planned patch. Then, by denoising, deduplication, removing records in which the data deviates from the normal distribution or is obviously erroneous, filling in missing values, and standardizing the data format, the natural resource cadastral information data set for the planned patch obtained after the previous integration is converted into a unified standard unit and format to adapt to subsequent data analysis and model construction, and finally a standard data set of resource cadastral information for the planned patch is obtained.

[0075] Step S2: extracting the spatial distribution of land control and the status of natural resources from the standard data set of cadastral information of the planned patch resources and performing time series synchronization processing to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the status of natural resources of the planned patch; performing three-dimensional elevation space modeling of the planned patch based on the time series synchronization data of the spatial distribution of land control of the planned patch to obtain a three-dimensional elevation space model of land control of the planned patch;

[0076] In an embodiment of the present invention, the land control spatial distribution data is extracted and processed by the previously pre-processed standard data set of cadastral information of the patch resources to be planned, so as to obtain and organize the distribution information of the land control space in the patch to be planned, including detailed information such as land ownership, land type, and land control function, thereby extracting the land control spatial distribution data of the patch to be planned. The natural resource status is also extracted and processed by the previously pre-processed standard data set of cadastral information of the patch resources to be planned, so as to obtain the natural resource distribution status information in the patch to be planned, such as the distribution status data of water resources, soil type, topography, etc., thereby obtaining the natural resource status data of the patch to be planned. At the same time, the previously extracted land control spatial distribution data of the patch to be planned and the natural resource status data of the patch to be planned are synchronized in time by using a time synchronization method, so as to ensure that the land control spatial distribution and natural resource status data collected from different natural resource cadastral information data sources can be accurately synchronized in time, that is, to ensure their alignment and consistency in time, thereby obtaining the time synchronization data of the land control spatial distribution of the patch to be planned and the time synchronization data of the natural resource status of the patch to be planned. Then, by using mathematical feature analysis methods, the spatial distribution characteristics of the time-series synchronization data of the spatial distribution of land control in the patches to be planned, which was obtained after time-series synchronization, are statistically analyzed to statistically analyze the spatial patterns and trends of land control changes in different time periods, including changes in land control types and changes in land control distribution coverage areas. By combining the land control spatial distribution change characteristics obtained in the previous analysis, the corresponding patches to be planned are modeled in three-dimensional elevation space to combine the land control spatial distribution change characteristics with the corresponding elevation data in the patches to be planned, and a three-dimensional model of land control in the patches to be planned is generated by three-dimensional modeling technology, and finally a three-dimensional elevation space model of land control in the patches to be planned is obtained.

[0077] Step S3: Based on the time series synchronization data of the natural resource status of the patch to be planned, the three-dimensional elevation space model of the land control of the patch to be planned is synchronously matched and mapped with the natural resource distribution to generate a dynamic change model of the land control resource distribution of the patch to be planned;

[0078] In an embodiment of the present invention, a trend analysis method is used to perform trend identification and analysis of spatiotemporal changes in natural resources on the time-series synchronization data of the natural resource status of the to-be-planned patch obtained after time-series synchronization, so as to identify and analyze the distribution of these changes in time and space, and statistically analyze the spatial distribution of the corresponding natural resources and their change trends, and at the same time analyze and locate the specific spatial distribution position of the natural resource changes in the three-dimensional coordinate system, and then, by combining the natural resource change spatial distribution positioning position obtained by the previous positioning, the corresponding spatial distribution status data of the natural resource change of the to-be-planned patch is subjected to vector transformation of the natural resource distribution information, so as to convert the spatial position information of the natural resource distribution and the corresponding natural resource spatial distribution status into a mathematical vector form, and by combining the natural resource change distribution spatial vector obtained by the previous conversion, the corresponding three-dimensional elevation space model of the land control of the to-be-planned patch is subjected to position synchronization matching and mapping of the natural resource distribution status, so as to match and map the spatial distribution information of natural resources with the corresponding spatial distribution position in the previously established three-dimensional elevation space model of the land control of the to-be-planned patch, and finally generate a dynamic change model of the land control resource distribution of the to-be-planned patch.

[0079] Step S4: Perform intelligent management of natural resource cadastral planning on the dynamic change model of land control resource distribution in the planned patch, generate an intelligent management strategy for natural resource cadastral planning of the planned patch, and execute corresponding intelligent integrated management operations for natural resource planning of the planned patch.

[0080] In an embodiment of the present invention, the ownership target of land control resources is analyzed by using the dynamic change model of land control resource distribution of the planned patch obtained by previous dynamic mapping, so as to identify and quantify the distribution of various land control types and the dynamic change trend of natural resources to plan and analyze the ownership targets of land control resources in the corresponding patch, such as increasing the proportion of residential land, optimizing the location of commercial areas and other ownership targets, and by identifying and analyzing the resource allocation tasks of the ownership targets of land control resource changes obtained by previous planning, so as to convert the ownership targets into specific resource allocation tasks, so as to ensure that the ownership targets of each type of land control can be achieved in actual operation, and at the same time, the resource allocation tasks are refined and optimized from the technical and implementation perspectives, and it is ensured that the corresponding planning suggestions can achieve the goals. For example, in response to the aforementioned resource allocation tasks, the engineering team will put forward specific land control structure adjustment suggestions, such as adding more land control structures on the edge of the city. Ecological protection areas, optimizing traffic layout to support the development of new residential areas, etc. Then, by combining the natural resource planning suggestions obtained from previous suggestions, the dynamic changes of natural resources in the dynamic change model of land control resource distribution in the corresponding planned patches are planned for intelligent management of natural resource cadastral planning. This involves the use of advanced geographic information systems and intelligent management technologies to dynamically monitor and manage land control natural resources to achieve effective implementation and long-term monitoring of planning suggestions. For example, the engineering team can use high-resolution remote sensing images and real-time sensor data to monitor the actual changes of various types of land control resources in the planned patches, and generate corresponding natural resource cadastral information intelligent management strategies through intelligent algorithms and data analysis, including land use planning, water resources management, etc., to timely adjust and optimize the planning of land control resources, so as to effectively prevent and solve problems in the integrated management of land control natural resources.

[0081] Further, step S1 includes the following steps:

[0082] Step S11: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set of the patch to be planned;

[0083] Step S12: performing information noise elimination processing on the natural resource cadastral information dataset of the planned patch to obtain a denoised cadastral information dataset of the planned patch resources;

[0084] Step S13: performing overlapping information cleaning processing on the denoised data set of the cadastral information of the planned plaque resources to obtain a deduplicated data set of the cadastral information of the planned plaque resources;

[0085] Step S14: performing histogram filtering and abnormal missing interpolation processing on the deduplication dataset of the cadastral information of the planned patch resources to obtain a missing compensation dataset of the cadastral information of the planned patch resources;

[0086] Step S15: performing format standardization processing on the missing compensation dataset of the cadastral information of the patch resources to be planned, and obtaining a standard dataset of the cadastral information of the patch resources to be planned.

[0087] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0088] Step S11: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set of the patch to be planned;

[0089] In an embodiment of the present invention, by determining the data source of natural resource cadastral information, this involves data provided by natural resource and environmental protection agencies or geographic information systems. For example, in an ecological protection zone plan, the data sources include ecological survey reports from environmental protection departments, land control statistics from land management departments, and spatial data in geographic information systems. These data usually exist in different formats and standards, and are integrated into a unified natural resource cadastral information dataset by using data integration technologies, such as ETL (extraction, transformation, loading) tools or custom scripts. The consistency and integrity of the data need to be considered during the integration process to ensure that the final dataset can fully reflect the current status of natural resources in the planned patch, and finally obtain the natural resource cadastral information dataset for the planned patch.

[0090] Step S12: performing information noise elimination processing on the natural resource cadastral information dataset of the planned patch to obtain a denoised cadastral information dataset of the planned patch resources;

[0091] In an embodiment of the present invention, a corresponding noise elimination processing method is used to perform noise elimination processing on the natural resource cadastral information data set of the to-be-planned patch obtained after previous integration, so as to eliminate errors, duplicate records or inconsistent formats in the natural resource cadastral information data of the to-be-planned patch, and finally obtain a noise elimination data set of the natural resource cadastral information of the to-be-planned patch.

[0092] Step S13: performing overlapping information cleaning processing on the denoised data set of the cadastral information of the planned plaque resources to obtain a deduplicated data set of the cadastral information of the planned plaque resources;

[0093] In an embodiment of the present invention, a deduplication method is used to clean the overlapping information of the denoised data set of the cadastral information of the patch resources to be planned, which is obtained after noise elimination, to identify and delete duplicate natural resource cadastral information records. For example, in forest resource management, duplicate forest registration information can be merged or deleted by matching geographic coordinates or plot boundaries to ensure that each plot has only one correct record, thereby reducing repeated calculations and errors in data processing, and finally obtaining a deduplication data set of the cadastral information of the patch resources to be planned.

[0094] Step S14: performing histogram filtering and abnormal missing interpolation processing on the deduplication dataset of the cadastral information of the planned patch resources to obtain a missing compensation dataset of the cadastral information of the planned patch resources;

[0095] In an embodiment of the present invention, a histogram is analyzed and drawn on a deduplicated data set of cadastral information of the resource patch to be planned that has been previously obtained after deduplication by using a histogram statistical method, and records in which the data deviate from the normal distribution or are obviously erroneous are removed. At the same time, interpolation methods are used, such as those based on neighboring values, interpolation functions or regression methods to fill in missing data and outliers in the data set, so as to improve the accuracy and credibility of the natural resource cadastral information data, and finally a missing compensation data set of the resource patch to be planned is obtained.

[0096] Step S15: performing format standardization processing on the missing compensation dataset of the cadastral information of the patch resources to be planned, and obtaining a standard dataset of the cadastral information of the patch resources to be planned.

[0097] In an embodiment of the present invention, data conversion and standardization tools are used to standardize the data format of the missing compensation data set of the cadastral information of the patch resources to be planned, which is previously obtained through abnormal interpolation compensation, so as to convert these data into a unified standard unit and format, so that they are suitable for subsequent data analysis and model construction, and finally a standard data set of cadastral information of the patch resources to be planned is obtained.

[0098] Further, step S2 includes the following steps:

[0099] Step S21: extracting and processing the land control spatial distribution data of the planned patch resource cadastral information standard data set to obtain the land control spatial distribution data of the planned patch;

[0100] Step S22: extracting and processing the natural resource status data of the planned patch resource cadastral information standard data set to obtain the natural resource status data of the planned patch;

[0101] Step S23: performing time series synchronization processing on the spatial distribution data of land control of the planned patch and the natural resource status data of the planned patch to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the natural resource status of the planned patch;

[0102] Step S24: analyzing the spatial distribution characteristics of land control on the time series synchronization data of the spatial distribution of land control in the planned patch to obtain the spatial distribution change characteristic data of the land control in the planned patch;

[0103] Step S25: Based on the spatial distribution change characteristic data of the land control of the planned patch, three-dimensional elevation space modeling of the patch to be planned is performed to obtain a three-dimensional elevation space model of the land control of the planned patch.

[0104] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 1 Detailed step flow diagram of step S2 in FIG. 1 , in this embodiment, step S2 includes the following steps:

[0105] Step S21: extracting and processing the land control spatial distribution data of the planned patch resource cadastral information standard data set to obtain the land control spatial distribution data of the planned patch;

[0106] In an embodiment of the present invention, the land control space distribution data is extracted and processed by the standard data set of cadastral information of the planned patch resources obtained through preprocessing, so as to obtain and organize the distribution information of the land control space in the planned patch, including detailed information such as land ownership, land type, and land control function, and finally the land control space distribution data of the planned patch is extracted.

[0107] Step S22: extracting and processing the natural resource status data of the planned patch resource cadastral information standard data set to obtain the natural resource status data of the planned patch;

[0108] In an embodiment of the present invention, natural resource status extraction is performed on the standard data set of cadastral information of the patch to be planned that has been preprocessed previously to obtain information on the distribution of natural resources in the patch to be planned, such as distribution data on water resources, soil types, topography, etc., and finally natural resource status data of the patch to be planned is obtained.

[0109] Step S23: performing time series synchronization processing on the spatial distribution data of land control of the planned patch and the natural resource status data of the planned patch to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the natural resource status of the planned patch;

[0110] In an embodiment of the present invention, a time synchronization method is used to perform time synchronization processing on the previously extracted land control spatial distribution data of the to-be-planned patch and the natural resource status data of the to-be-planned patch, so as to ensure that the land control spatial distribution and natural resource status data collected from different natural resource cadastral information data sources can be accurately time synchronized, that is, to ensure their temporal alignment and consistency, and finally obtain the time-series synchronization data of the land control spatial distribution of the to-be-planned patch and the time-series synchronization data of the natural resource status of the to-be-planned patch.

[0111] Step S24: analyzing the spatial distribution characteristics of land control on the time series synchronization data of the spatial distribution of land control in the planned patch to obtain the spatial distribution change characteristic data of the land control in the planned patch;

[0112] In an embodiment of the present invention, a mathematical feature analysis method is used to perform statistical analysis on the spatial distribution characteristics of the time series synchronization data of the spatial distribution of land control in the planned patch obtained after time series synchronization, so as to statistically analyze the spatial patterns and trends of land control changes in different time periods, including changes in land control types and changes in land control distribution coverage areas, and finally obtain the spatial distribution change characteristic data of land control in the planned patch.

[0113] Step S25: Based on the spatial distribution change characteristic data of the land control of the planned patch, three-dimensional elevation space modeling of the patch to be planned is performed to obtain a three-dimensional elevation space model of the land control of the planned patch.

[0114] In an embodiment of the present invention, three-dimensional elevation space modeling is performed on the corresponding patch to be planned by combining the spatial distribution change characteristic data of land control of the patch to be planned obtained from the previous analysis, so as to combine the spatial distribution change data of land control with the corresponding elevation data in the patch to be planned, and generate a three-dimensional model of land control of the patch to be planned by three-dimensional modeling technology, so that the three-dimensional elevation space model of the patch to be planned can be generated by using the land control data and the digital elevation model (DEM), and finally the three-dimensional elevation space model of land control of the patch to be planned is obtained.

[0115] Further, step S25 includes the following steps:

[0116] Step S251: performing spatial elevation data analysis on the patch to be planned to obtain spatial elevation data of the patch to be planned;

[0117] In an embodiment of the present invention, high-resolution images of the patch to be planned are obtained by using satellite remote sensing or unmanned aerial vehicles, and the obtained high-resolution images are processed and analyzed by using digital elevation model (DEM) or digital surface model (DSM) technology, so as to analyze and obtain corresponding spatial elevation information data, and finally obtain spatial elevation data of the patch to be planned.

[0118] Step S252: performing spatial elevation point cloud analysis on the spatial elevation data of the patch to be planned to obtain a spatial elevation point cloud set of the patch to be planned;

[0119] In an embodiment of the present invention, the spatial elevation data of the patch to be planned obtained by previous analysis is converted into an elevation point cloud by using laser radar or structured light scanning technology, so as to accurately record the ground elevation data within the patch to be planned in the form of a point cloud, thereby forming a high-density spatial elevation data point set, and finally obtaining a spatial elevation point cloud set of the patch to be planned.

[0120] Step S253: performing initial three-dimensional elevation space modeling on the patch to be planned based on the spatial elevation point cloud of the patch to be planned, so as to obtain an initial three-dimensional elevation space model of the patch to be planned;

[0121] In an embodiment of the present invention, by combining the spatial elevation point cloud set of the to-be-planned patch obtained by previous analysis, a geographic information system (GIS) software or a professional three-dimensional modeling tool is used to perform three-dimensional elevation space modeling on the corresponding to-be-planned patch, so as to convert the point cloud data into a corresponding three-dimensional space model. For example, in forest resource management, point cloud data is used to generate a three-dimensional model of forest coverage, so as to analyze the distribution of different tree species and the changing trend of forest land, and finally obtain an initial three-dimensional elevation space model of the to-be-planned patch.

[0122] Step S254: subdividing the spatial distribution change characteristic data of the land control of the planned patch into change time series points, and obtaining the distribution change characteristic data of the land control of the planned patch at each change time series point;

[0123] In an embodiment of the present invention, the spatial distribution change characteristic data of the land control patch to be planned obtained by previous analysis is divided into change time series points to obtain detailed characteristic information of the spatial distribution change of land control at each change time series point (including changes in land control types and changes in the size of spatial distribution coverage area, etc.). For example, in agricultural land management, the changes of farmland at each time series point can be analyzed through time series remote sensing data, including the increase or decrease of cultivated land area and changes in crop planting structure at each time series point, and finally the distribution change characteristic data of the land control patch to be planned at each change time series point is obtained.

[0124] Step S255: Based on the land control distribution change characteristic data of the planned patch at each change time sequence point, the three-dimensional elevation space initial model of the planned patch is subjected to land control change fusion optimization processing to obtain the three-dimensional elevation space model of the land control of the planned patch.

[0125] In an embodiment of the present invention, a corner point detection algorithm is used to extract characteristic corner points of the land control distribution change characteristic data of the to-be-planned patch at each change time series point obtained by the previous analysis, so as to extract the characteristic corner points of the land control change at each time series point, and these characteristic corner points include the boundary of the land type change or the characteristic points of the spatial distribution coverage area change, such as the boundary of urban expansion, the change of farmland area, etc., and convert them into a three-dimensional spatial coordinate system, and at the same time, a preliminary fusion analysis of the land control change is performed on the corresponding three-dimensional elevation space initial model of the to-be-planned patch, so as to fuse the land control change data at different time points into the model in the same three-dimensional spatial coordinate system, so that the land control change characteristic information at different change time series points can be cross-mapped to the corresponding distribution position in the elevation space model of the to-be-planned patch, and at the same time, by The corresponding mathematical analysis method is used to perform an impact correction analysis on the distribution evolution relationship of the land control distribution change characteristic data of the planned patch at each change time series point obtained in the previous analysis, so as to quantitatively calculate the correction measurement value of the impact caused by the corresponding land control distribution evolution at each change time series point, and optimize the land control distribution position by using the impact correction measurement value to optimize the land control distribution position of the corresponding land control change distribution characteristic corner points in the preliminary fused elevation space model, so as to further optimize the land control model in combination with the corresponding impact correction measurement value to improve the accuracy and realism of the model, thereby adjusting the land control type distribution of different patches in the land control model and the change of land control space coverage area to make it more in line with the actual situation and planning requirements, and finally optimizing the three-dimensional elevation space model of land control for the planned patch.

[0126] Further, step S255 includes the following steps:

[0127] Performing feature corner point extraction processing on the feature data of the distribution change of the land control of the patch to be planned at each time series point of change, and obtaining a feature corner point set of the land control change of the patch to be planned at each time series point of change;

[0128] In an embodiment of the present invention, a corner point detection algorithm is used to extract characteristic corner points of the characteristic data of the land control distribution change of the to-be-planned patch at each change time series point previously analyzed, so as to extract the characteristic corner points of the land control change at each time series point. These characteristic corner points include the boundaries of land type changes or significant characteristic points, such as the boundaries of urban expansion, changes in farmland area, etc., and finally a set of characteristic corner points of the land control change of the to-be-planned patch at each change time series point is obtained.

[0129] Preferably, a three-dimensional space coordinate system conversion is performed on the set of characteristic corner points of land control changes in the to-be-planned patch at each time-series point of change, so as to obtain a set of characteristic corner points of land control changes in the to-be-planned patch at each time-series point of change in a three-dimensional space state;

[0130] In an embodiment of the present invention, the geometric correction and spatial reconstruction technology in the geographic information system is used to convert the characteristic corner point set of the land control change of the to-be-planned patch at each change time series point previously extracted into a three-dimensional spatial coordinate system, so as to convert the two-dimensional map or image feature data into a three-dimensional spatial coordinate system. For example, in the intelligent management of natural resource cadastral information, satellite remote sensing data can be used for three-dimensional reconstruction, and the extracted characteristic corner points of land control change can be mapped into a three-dimensional spatial coordinate system, so as to accurately describe the spatial distribution and morphological characteristics of the land control change, and finally obtain the characteristic corner point set of the land control change of the to-be-planned patch in a three-dimensional spatial state at each change time series point.

[0131] Preferably, based on the characteristic corner point set of the land control change of the planned patch in the three-dimensional space state at each change time sequence point, the three-dimensional elevation space initial model of the planned patch is subjected to preliminary fusion processing of land control change to obtain a preliminary fusion elevation space model of the land control of the planned patch;

[0132] In an embodiment of the present invention, a preliminary fusion analysis of land control changes is performed on the corresponding three-dimensional elevation space initial model of the patch to be planned by combining the characteristic corner point set of land control changes of the patch to be planned at each change time series point in the three-dimensional space state obtained by previous conversion, so as to fuse the land control change data at different time points into the three-dimensional elevation space initial model of the patch to be planned in the same three-dimensional space coordinate system, so that the land control change characteristic information at different change time series points can be cross-mapped to the corresponding distribution positions in the elevation space model of the patch to be planned, and by using spatial interpolation method or model fusion technology, a three-dimensional elevation space model of land control with time series change characteristics is generated, and finally a preliminary fused elevation space model of land control of the patch to be planned is obtained.

[0133] Preferably, the distribution evolution impact correction analysis is performed on the distribution change characteristic data of the land control patch to be planned at each change time sequence point, so as to obtain the distribution evolution impact correction value of the land control patch to be planned at each change time sequence point;

[0134] In an embodiment of the present invention, a corresponding mathematical analysis method is used to perform an impact correction analysis on the distribution evolution relationship of the land control distribution change characteristic data of the to-be-planned patch at each change time series point previously analyzed. This involves analyzing the impact factors of different land control evolution influencing factors on the corresponding land control distribution changes, such as changes in land control type, changes in coverage area and other influencing factors, so as to quantitatively calculate the correction metric value of the impact caused by the corresponding land control distribution evolution at each change time series point, and finally obtain the impact correction value of the land control distribution evolution of the to-be-planned patch at each change time series point.

[0135] Preferably, the land control distribution of the patch to be planned is optimized according to the correction value of the impact of the distribution evolution of the land control of the patch to be planned at each time series point of change, so as to obtain a three-dimensional elevation space model of the land control of the patch to be planned.

[0136] In an embodiment of the present invention, the land control distribution position of the corresponding land control change distribution feature corner points in the preliminary fusion elevation space model of the land control of the planned patch is optimized by combining the impact correction value of the land control distribution evolution of the planned patch at each change time series point obtained by previous quantitative calculation, and the land control model is further optimized in combination with the corresponding impact correction value to improve the accuracy and realism of the model. For example, in the intelligent management of natural resource cadastral information, the land control type distribution and the land control space coverage area change of different patches in the land control model can be adjusted through spatial analysis and optimization algorithms to make it more in line with the actual situation and planning requirements, and finally the three-dimensional elevation space model of the land control of the planned patch is optimized.

[0137] Furthermore, the distribution evolution impact correction analysis of the land control distribution change characteristic data of the planned patch at each change time sequence point includes the following steps:

[0138] The land control type and spatial distribution range of the land control distribution change characteristic data of the to-be-planned patch at each time series point of change are extracted and processed to obtain the land control type change data of the to-be-planned patch at each time series point of change and the land control spatial distribution range data of the to-be-planned patch;

[0139] In an embodiment of the present invention, relevant land control type change information and the size of the spatial distribution range of land control are extracted from the characteristic data of land control distribution change of the to-be-planned patch at each change time series point obtained by previous analysis. For example, considering the management of a wetland protection area, maps, satellite images and field survey data from the past few decades are first summarized to record the boundary changes between wetlands and other land types in different years. Through geographic information system (GIS) tools and image processing software, the wetland distribution and land control type information of the surrounding environment at each time series point can be accurately extracted, including the expansion or degradation degree of the wetland and its spatial distribution range. Finally, the land control type change data of the to-be-planned patch at each change time series point and the spatial distribution range data of the land control of the to-be-planned patch are obtained.

[0140] Preferably, the distribution coverage area of ​​the spatial distribution range data of the patch land control to be planned at each time-series point of change is calculated to obtain the size of the spatial distribution coverage area of ​​the patch land control to be planned at each time-series point of change;

[0141] In an embodiment of the present invention, by using geographic spatial analysis tools and calculation methods, the distribution coverage area of ​​the spatial distribution range data of the to-be-planned patch of land control at each change time series point previously extracted is calculated to realize the area calculation of the spatial distribution range of the land control, and understand the coverage area size of various types of land control at different time series points. For example, assuming that the changes in farmland around a city are being studied, GIS software can be used to measure the area and boundaries of farmland in different years, as well as the relationship with factors such as urban expansion and transportation network construction. This area calculation can help quantify the specific size of the farmland area at each time series point, and ultimately obtain the size of the spatial distribution coverage area of ​​the to-be-planned patch of land control at each change time series point.

[0142] Preferably, the spatial distribution evolution mining analysis is performed on the distribution change characteristic data of the land control of the to-be-planned patch at each time series point of change, so as to obtain the spatial distribution evolution relationship of the land control of the to-be-planned patch at each time series point of change;

[0143] In an embodiment of the present invention, a spatial distribution mining algorithm is used to perform mining analysis on the spatial distribution evolution relationship of the land control distribution change characteristic data of the to-be-planned patch at each change time series point previously analyzed, so as to explore and analyze the spatial distribution evolution relationship of land control changes, and identify the spatial correlation and evolution trend between land control types. For example, if the forest changes within a national park are analyzed, the historical map data can be compared with modern satellite images, and the spatial statistical methods can be used to reveal the changing trends of forest coverage in different patches. This spatial distribution evolution mining analysis helps to understand the dynamic change process of forest ecosystems, and finally mines the spatial distribution evolution relationship of the to-be-planned patch land control at each change time series point.

[0144] Preferably, based on the spatial distribution evolution relationship of the land control of the patch to be planned at each time series point of change, the land control type change data of the patch to be planned at each time series point of change and the size of the spatial distribution coverage area of ​​the land control of the patch to be planned are evaluated and analyzed for distribution evolution impact, so as to obtain the land control type distribution evolution impact factor and the land control spatial coverage area distribution evolution impact factor at each time series point of change;

[0145] In an embodiment of the present invention, by combining the spatial distribution evolution relationship of the land control of the to-be-planned patch at each change time series point obtained by previous analysis, an impact assessment algorithm is used to perform an impact assessment analysis on the distribution evolution of the land control type change data of the to-be-planned patch at the corresponding change time series point and the size of the spatial distribution coverage area of ​​the land control of the to-be-planned patch, so as to evaluate and analyze the influence of different land control evolution influencing factors on the corresponding land control type change and spatial distribution coverage area, and further analyze the key factors of the land control type distribution and spatial coverage area change at each time series point. For example, assuming that the cause of wetland degradation in a nature reserve is studied, the specific impact of urban expansion, agricultural activities and climate change on wetland degradation can be evaluated by comparing the changes in the wetland and surrounding land control types, so as to help understand how different influencing factors interact in geographic space and their long-term impact on the stability of natural resource cadastral information, and finally obtain the land control type distribution evolution influencing factors and land control spatial coverage area distribution evolution influencing factors at each change time series point.

[0146] Preferably, based on the land control type distribution evolution influencing factor and the land control spatial coverage area distribution evolution influencing factor at each change time series point, the land control distribution change characteristic data of the to-be-planned patch at each change time series point is subjected to distribution evolution impact correction analysis to obtain the land control distribution evolution impact correction value for the to-be-planned patch at each change time series point.

[0147] In an embodiment of the present invention, a suitable distribution evolution impact correction analysis formula is formed by combining the number parameters of the change time series points, the land control type distribution evolution influencing factor, the land control spatial coverage area distribution evolution influencing factor, the land control distribution evolution normalization factor, the land control distribution evolution impact index, the land control distribution evolution impact sensitivity measurement parameter, the time range parameter, the integral time variable parameter, the planned patch land control distribution change characteristic variable parameter and related parameters to perform distribution evolution impact correction analysis on the planned patch land control distribution change characteristic data at each change time series point. For example, the distribution evolution impact correction analysis formula can be:

[0148] ;

[0149] In the formula, For the Correction value of the impact of land control distribution evolution of the planned patch at the time series point of each change, is the total number of parameters of the changing timing points, is the item index parameter of the changing time sequence point, For the The factors affecting the evolution of land control type distribution at each time series point are: For the The influencing factors of the evolution of land control spatial coverage area distribution at each time series point, For the The normalization factor of land control distribution evolution at each time series point, For the The impact index of land control distribution evolution at each time series point, For the The sensitivity measurement parameters of the land control distribution evolution at the time series point are: is the time range parameter, is the integral time variable parameter, For the Change timing point The characteristic variable parameters of the land control distribution change of the planned patch, It is the correction coefficient of the correction value of the impact of the evolution of the land control distribution of the planned patch, so as to quantify the correction measurement value of the impact caused by the corresponding land control distribution evolution at each change time series point, and finally obtain the correction value of the impact of the evolution of the land control distribution of the planned patch at each change time series point.

[0150] Further, step S3 includes the following steps:

[0151] Step S31: analyzing the temporal and spatial variation trend of natural resource conditions in the planned patch on the time series synchronization data, and obtaining the temporal and spatial variation trend data of natural resource conditions in the planned patch;

[0152] In an embodiment of the present invention, a trend analysis method is used to perform trend identification analysis on the temporal and spatial changes of natural resources on the time-series synchronized data of the natural resource status of the to-be-planned patch obtained after time-series synchronization, so as to collect satellite images and ground observation data over a period of time in the past, and at the same time statistically analyze and record information such as forest coverage and wild animal and plant distribution. By means of statistical analysis and data mining techniques, the changing trend of forest coverage can be identified, such as which patches have increased or decreased forest coverage and the time and spatial distribution of these changes, and finally the temporal and spatial change trend data of the natural resource status of the to-be-planned patch is obtained.

[0153] Step S32: Based on the temporal and spatial variation trend data of the natural resource status of the planned patch, the time series synchronization data of the natural resource status of the planned patch is analyzed to obtain the spatial distribution status data of the natural resource variation of the planned patch;

[0154] In an embodiment of the present invention, a statistical analysis of the spatial distribution of natural resources is performed on the corresponding time-series synchronization data of the natural resource status of the to-be-planned patch obtained by combining the spatiotemporal change trend data of the natural resource status of the to-be-planned patch obtained by previous analysis, so as to further analyze the spatiotemporal change trend data to determine the spatial distribution of different natural resources. This includes using geographic information systems (GIS) and spatial analysis tools to conduct detailed research and description on the spatial distribution patterns of various natural resources. For example, considering the water resource analysis of a city, water quality monitoring data and hydrological models can be used to analyze the spatial distribution of water bodies around the city and their changing trends, so as to determine which areas are rich in water resources and which areas are facing the risk of water shortage, and finally obtain the spatial distribution status data of natural resource changes in the to-be-planned patch.

[0155] Step S33: performing three-dimensional spatial coordinate positioning analysis on the spatial distribution status data of the natural resource changes in the planned patch to obtain the spatial distribution position positioning coordinates of the natural resource changes in the planned patch;

[0156] In an embodiment of the present invention, three-dimensional spatial coordinate positioning processing is performed on the spatial distribution status data of the natural resource changes in the planned patch obtained by previous analysis, so as to accurately locate the spatial position of the natural resources in the three-dimensional coordinate system. For example, assuming that when performing spatial positioning analysis on the water quality changes of a lake, the geographical location and altitude of the lake are first determined by satellite images and GPS measurement technology, and the spatial position of the lake is converted into specific three-dimensional coordinates using mathematical models and geographic information systems, and finally the spatial distribution position positioning coordinates of the natural resource changes in the planned patch are obtained.

[0157] Step S34: performing resource distribution vector conversion on the spatial distribution status data of the natural resource changes in the planned patch based on the spatial distribution position positioning coordinates of the natural resource changes in the planned patch to obtain the distribution space vector of the natural resource changes in the planned patch;

[0158] In an embodiment of the present invention, by combining the previously located spatial distribution position positioning coordinates of the natural resource changes in the patch to be planned, the corresponding spatial distribution status data of the natural resource changes in the patch to be planned is converted into a vector of natural resource distribution information, so as to convert the spatial position information of the natural resource distribution and the corresponding spatial distribution status of the natural resources into a mathematical vector form. For example, considering the soil erosion analysis of a mountainous area, the soil erosion risks at different locations can be converted into a vector form, and the direction and size of the vector are used to represent the degree and direction of soil erosion. Such a vector conversion can help to better understand the spatial distribution characteristics of soil erosion, and finally convert the spatial distribution vector of the natural resource changes in the patch to be planned.

[0159] Step S35: Perform natural resource distribution synchronous matching mapping on the three-dimensional elevation space model of land control in the planned patch according to the distribution space vector of natural resource changes in the planned patch, so as to generate a dynamic change model of land control resource distribution in the planned patch.

[0160] In an embodiment of the present invention, the natural resource distribution status of the corresponding three-dimensional elevation space model of the land control of the planned patch is synchronously matched and mapped by combining the natural resource change distribution space vector of the planned patch obtained by previous conversion, so as to match and map the spatial distribution information of natural resources with the corresponding spatial distribution position in the previously established three-dimensional elevation space model of the land control of the planned patch, thereby generating a comprehensive land control natural resource change distribution space model. For example, assuming that a mountain tourism development plan is to be formulated, the spatial distribution information of different types of natural resources (such as forests, grasslands, waters, etc.) can be synchronously matched and mapped with the distribution position of the corresponding mountain terrain elevation space model, so as to generate a land control planning model with natural resource spatial distribution characteristics, so as to guide future tourism development and resource protection work, and finally generate a dynamic change model of land control resource distribution of the planned patch.

[0161] Further, step S4 includes the following steps:

[0162] Step S41: analyzing the ownership target of land control resources on the dynamic change model of land control resources distribution in the planned patch to obtain the ownership target of land control resources change in the planned patch;

[0163] In an embodiment of the present invention, the ownership target analysis of land control resources is performed on the dynamic change model of the land control resource distribution of the to-be-planned patch obtained by the previous dynamic mapping, so as to identify and quantify the distribution of various land control types and the dynamic change trend of natural resources to plan and analyze the ownership targets of land control resources in the corresponding patch. For example, assuming that a city needs to conduct an ownership target analysis of land control resources when planning a new district, the engineering team first obtains historical land control data and the dynamic change trend of natural resources to construct a dynamic change spatial model of the distribution of various land control types (such as residential areas, commercial areas, industrial areas, agricultural areas, etc.) and their change trends (such as the impact of urban expansion on farmland area, the pressure of industrial patches on natural ecosystems, etc.), and uses spatial analysis tools to determine the development direction and ownership targets of various land control resources, such as increasing the proportion of residential land, optimizing the location of commercial areas, and finally obtaining the ownership targets of land control resource changes in the to-be-planned patch.

[0164] Step S42: analyzing the ownership target resource configuration task of the planned patch land control resource change ownership target to obtain the patch land control resource ownership target configuration task;

[0165] In an embodiment of the present invention, resource allocation tasks are identified and analyzed through the previously planned ownership targets of the changes in the land control resources of the planned patches, so as to convert the ownership targets into specific resource allocation tasks, ensuring that the ownership targets of each type of land control can be achieved in actual operations. In this way, the engineering team will determine the residential area and corresponding commercial supporting land that need to be increased based on the previous target analysis results, and through detailed adjustment and optimization of resource allocation, ensure the reasonable allocation of various types of land control in quantity and space, and finally obtain the patch land control resource ownership target allocation task.

[0166] Step S43: Perform resource planning suggestion analysis on the target configuration task of the patch land control resource ownership to obtain a patch land control natural resource planning suggestion plan;

[0167] In an embodiment of the present invention, a natural resource planning suggestion analysis is performed on the previously analyzed target allocation task of the patch land control resource ownership, so as to refine and optimize the resource allocation task from the technical and implementation perspectives, and ensure that the corresponding planning suggestions can achieve the goals. For example, for the aforementioned resource allocation tasks, the engineering team will put forward specific land control structure adjustment suggestions, such as adding ecological protection areas on the edge of the city, optimizing the traffic layout to support the development of new residential areas, etc., and finally obtain a patch land control natural resource planning suggestion plan.

[0168] Step S44: According to the proposed natural resource planning scheme for patch land control, the dynamic change model of land control resources distribution in the patch to be planned is intelligently managed for natural resource cadastral planning, and an intelligent management strategy for natural resource cadastral planning of the patch to be planned is generated to execute the corresponding intelligent integrated management operation for natural resource planning of the patch to be planned.

[0169] In an embodiment of the present invention, by combining the patch land control natural resource planning proposal obtained by previous proposals, the dynamic changes of natural resources in the dynamic change model of land control resource distribution in the corresponding patch to be planned are planned and intelligently managed for natural resource cadastral planning. This involves the use of advanced geographic information systems and intelligent management technologies to dynamically monitor and manage land control natural resources to achieve effective implementation and long-term monitoring of planning proposals. For example, the engineering team can use high-resolution remote sensing images and real-time sensor data to monitor the actual changes of various types of land control resources in the patch to be planned, and generate corresponding natural resource cadastral information intelligent management strategies through intelligent algorithms and data analysis, including land use planning, water resource management, etc., to timely adjust and optimize the planning of land control resources, thereby effectively preventing and solving problems in the integrated management of land control natural resources.

[0170] Furthermore, the present invention also provides an intelligent integrated management system for natural resource cadastral information, which is used to execute the intelligent integrated management method for natural resource cadastral information as described above. The intelligent integrated management system for natural resource cadastral information comprises:

[0171] The patch natural resource cadastral information integration module is used to obtain the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and perform data integration to obtain the natural resource cadastral information data set of the patch to be planned; perform information data preprocessing on the natural resource cadastral information data set of the patch to be planned, so as to obtain the standard data set of resource cadastral information of the patch to be planned;

[0172] The patch land control three-dimensional elevation spatial modeling module is used to extract the land control spatial distribution and natural resource status of the planned patch resource cadastral information standard data set and perform time series synchronization processing to obtain the time series synchronization data of the land control spatial distribution of the planned patch and the time series synchronization data of the natural resource status of the planned patch; based on the time series synchronization data of the land control spatial distribution of the planned patch, the patch three-dimensional elevation spatial modeling is performed on the planned patch, thereby obtaining the three-dimensional elevation spatial model of the land control of the planned patch;

[0173] The patch natural resource distribution synchronization matching mapping module is used to perform natural resource distribution synchronization matching mapping on the three-dimensional elevation space model of land control of the patch to be planned based on the time series synchronization data of the natural resource status of the patch to be planned, so as to generate a dynamic change model of land control resource distribution of the patch to be planned;

[0174] The intelligent management module for patch natural resource planning is used to carry out intelligent management of natural resource cadastral planning for the dynamic change model of land control resource distribution in the patch to be planned, generate intelligent management strategies for natural resource cadastral planning of the patch to be planned, and execute corresponding intelligent integrated management operations for natural resource planning of the patch to be planned.

[0175] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed, the intelligent integrated management method for natural resource cadastral information as described above is implemented.

[0176] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0177] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An intelligent integrated management method for natural resource cadastral information, characterized in that: The following steps are involved: Step S1: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set for the patch to be planned; performing information data preprocessing on the natural resource cadastral information data set for the patch to be planned to obtain a standard data set of resource cadastral information for the patch to be planned; Step S2: extracting the spatial distribution of land control and the natural resource status of the planned patch resource cadastral information standard data set and performing time series synchronization processing to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the natural resource status of the planned patch; performing three-dimensional elevation space modeling of the planned patch based on the time series synchronization data of the spatial distribution of land control of the planned patch to obtain a three-dimensional elevation space model of land control of the planned patch; wherein step S2 includes the following steps: Step S21: extracting and processing the land control spatial distribution data of the planned patch resource cadastral information standard data set to obtain the land control spatial distribution data of the planned patch; Step S22: extracting and processing the natural resource status data of the planned patch resource cadastral information standard data set to obtain the natural resource status data of the planned patch; Step S23: performing time series synchronization processing on the spatial distribution data of land control of the planned patch and the natural resource status data of the planned patch to obtain the time series synchronization data of the spatial distribution of land control of the planned patch and the time series synchronization data of the natural resource status of the planned patch; Step S24: analyzing the spatial distribution characteristics of land control on the time series synchronization data of the spatial distribution of land control in the planned patch to obtain the spatial distribution change characteristic data of the land control in the planned patch; Step S25: Based on the spatial distribution change characteristic data of the land control of the planned patch, a three-dimensional elevation space model of the patch to be planned is performed to obtain a three-dimensional elevation space model of the land control of the planned patch; wherein step S25 includes the following steps: Step S251: performing spatial elevation data analysis on the patch to be planned to obtain spatial elevation data of the patch to be planned; Step S252: performing spatial elevation point cloud analysis on the spatial elevation data of the patch to be planned to obtain a spatial elevation point cloud set of the patch to be planned; Step S253: performing initial three-dimensional elevation space modeling on the patch to be planned based on the spatial elevation point cloud of the patch to be planned, so as to obtain an initial three-dimensional elevation space model of the patch to be planned; Step S254: subdividing the spatial distribution change characteristic data of the land control of the planned patch into change time series points, and obtaining the distribution change characteristic data of the land control of the planned patch at each change time series point; Step S255: Based on the land control distribution change characteristic data of the planned patch at each change time sequence point, the three-dimensional elevation space initial model of the planned patch is subjected to land control change fusion optimization processing to obtain the three-dimensional elevation space model of the land control of the planned patch; wherein step S255 includes the following steps: Performing feature corner point extraction processing on the feature data of the distribution change of the land control of the patch to be planned at each time series point of change, and obtaining a feature corner point set of the land control change of the patch to be planned at each time series point of change; The characteristic corner point set of the land control change of the to-be-planned patch at each change time sequence point is transformed into a three-dimensional space coordinate system to obtain the characteristic corner point set of the land control change of the to-be-planned patch at each change time sequence point in a three-dimensional space state; Based on the characteristic corner point set of the land control change of the planned patch in the three-dimensional space state at each change time sequence point, the initial model of the three-dimensional elevation space of the planned patch is initially fused with the land control change to obtain the preliminary fused elevation space model of the land control of the planned patch; Perform distribution evolution impact correction analysis on the distribution change characteristic data of the planned patch land control at each time series point to obtain the distribution evolution impact correction value of the planned patch land control at each time series point; According to the correction value of the evolution of the land control distribution of the planned patch at each time-series point, the preliminary fusion elevation space model of the land control of the planned patch is optimized to obtain a three-dimensional elevation space model of the land control of the planned patch; Step S3: Based on the time series synchronization data of the natural resource status of the patch to be planned, the three-dimensional elevation space model of the land control of the patch to be planned is synchronously matched and mapped with the natural resource distribution to generate a dynamic change model of the land control resource distribution of the patch to be planned; Step S4: Perform intelligent management of natural resource cadastral planning on the dynamic change model of land control resource distribution in the planned patch, generate an intelligent management strategy for natural resource cadastral planning of the planned patch, and execute corresponding intelligent integrated management operations for natural resource planning of the planned patch.

2. The intelligent integrated management method of natural resource cadastral information according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: obtaining the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and performing data integration to obtain a natural resource cadastral information data set of the patch to be planned; Step S12: performing information noise elimination processing on the natural resource cadastral information dataset of the planned patch to obtain a denoised cadastral information dataset of the planned patch resources; Step S13: performing overlapping information cleaning processing on the denoised data set of the cadastral information of the planned plaque resources to obtain a deduplicated data set of the cadastral information of the planned plaque resources; Step S14: performing histogram filtering and abnormal missing interpolation processing on the deduplication dataset of the cadastral information of the planned patch resources to obtain a missing compensation dataset of the cadastral information of the planned patch resources; Step S15: performing format standardization processing on the missing compensation dataset of the cadastral information of the patch resources to be planned, and obtaining a standard dataset of the cadastral information of the patch resources to be planned.

3. The intelligent integrated management method of natural resource cadastral information according to claim 1 is characterized in that: The distribution evolution impact correction analysis of the land control distribution change characteristic data of the planned patch at each change time sequence point includes the following steps: The land control type and spatial distribution range of the land control distribution change characteristic data of the to-be-planned patch at each time series point of change are extracted and processed to obtain the land control type change data of the to-be-planned patch at each time series point of change and the land control spatial distribution range data of the to-be-planned patch; The distribution coverage area of ​​the land control space distribution range data of the to-be-planned patch at each time-series point of change is calculated to obtain the size of the land control space distribution coverage area of ​​the to-be-planned patch at each time-series point of change; The spatial distribution evolution mining analysis is performed on the characteristic data of the distribution change of the land control of the planned patch at each time series point, and the spatial distribution evolution relationship of the land control of the planned patch at each time series point is obtained; Based on the spatial distribution evolution relationship of the land control of the planned patch at each time-series point, the change data of the land control type of the planned patch at each time-series point and the size of the spatial distribution coverage area of ​​the land control of the planned patch are evaluated and analyzed to obtain the influence factors of the land control type distribution evolution and the influence factors of the land control spatial coverage area distribution evolution at each time-series point; Based on the land control type distribution evolution influencing factors and the land control spatial coverage area distribution evolution influencing factors at each time series point of change, the distribution evolution impact correction analysis is carried out on the land control distribution change characteristic data of the to-be-planned patch at each time series point of change to obtain the distribution evolution impact correction value of the land control patch to be planned at each time series point of change.

4. The intelligent integrated management method of natural resource cadastral information according to claim 1 is characterized in that: Step S3 includes the following steps: Step S31: analyzing the temporal and spatial variation trend of natural resource conditions in the planned patch on the time series synchronization data, and obtaining the temporal and spatial variation trend data of natural resource conditions in the planned patch; Step S32: Based on the temporal and spatial variation trend data of the natural resource status of the planned patch, the time series synchronization data of the natural resource status of the planned patch is analyzed to obtain the spatial distribution status data of the natural resource variation of the planned patch; Step S33: performing three-dimensional spatial coordinate positioning analysis on the spatial distribution status data of the natural resource changes in the planned patch to obtain the spatial distribution position positioning coordinates of the natural resource changes in the planned patch; Step S34: performing resource distribution vector conversion on the spatial distribution status data of the natural resource changes in the planned patch based on the spatial distribution position positioning coordinates of the natural resource changes in the planned patch to obtain the distribution space vector of the natural resource changes in the planned patch; Step S35: Perform natural resource distribution synchronous matching mapping on the three-dimensional elevation space model of land control in the planned patch according to the distribution space vector of natural resource changes in the planned patch, so as to generate a dynamic change model of land control resource distribution in the planned patch.

5. The intelligent integrated management method of natural resource cadastral information according to claim 1 is characterized in that: Step S4 includes the following steps: Step S41: analyzing the ownership target of land control resources on the dynamic change model of land control resources distribution in the planned patch to obtain the ownership target of land control resources change in the planned patch; Step S42: analyzing the ownership target resource configuration task of the planned patch land control resource change ownership target to obtain the patch land control resource ownership target configuration task; Step S43: Perform resource planning suggestion analysis on the target configuration task of the patch land control resource ownership to obtain a patch land control natural resource planning suggestion plan; Step S44: According to the proposed natural resource planning scheme for patch land control, the dynamic change model of land control resources distribution in the patch to be planned is intelligently managed for natural resource cadastral planning, and an intelligent management strategy for natural resource cadastral planning of the patch to be planned is generated to execute the corresponding intelligent integrated management operation for natural resource planning of the patch to be planned.

6. An intelligent integrated management system for natural resource cadastral information, characterized in that: Used to execute the intelligent integrated management method of natural resource cadastral information as claimed in claim 1, the intelligent integrated management system of natural resource cadastral information comprises: The patch natural resource cadastral information integration module is used to obtain the natural resource cadastral information data of the patch to be planned from the natural resource cadastral information data source and perform data integration to obtain the natural resource cadastral information data set of the patch to be planned; perform information data preprocessing on the natural resource cadastral information data set of the patch to be planned, so as to obtain the standard data set of resource cadastral information of the patch to be planned; The patch land control three-dimensional elevation spatial modeling module is used to extract the land control spatial distribution and natural resource status of the planned patch resource cadastral information standard data set and perform time series synchronization processing to obtain the time series synchronization data of the land control spatial distribution of the planned patch and the time series synchronization data of the natural resource status of the planned patch; based on the time series synchronization data of the land control spatial distribution of the planned patch, the patch three-dimensional elevation spatial modeling is performed on the planned patch, thereby obtaining the three-dimensional elevation spatial model of the land control of the planned patch; The patch natural resource distribution synchronization matching mapping module is used to perform natural resource distribution synchronization matching mapping on the three-dimensional elevation space model of land control of the patch to be planned based on the time series synchronization data of the natural resource status of the patch to be planned, so as to generate a dynamic change model of land control resource distribution of the patch to be planned; The intelligent management module for patch natural resource planning is used to carry out intelligent management of natural resource cadastral planning for the dynamic change model of land control resource distribution in the patch to be planned, generate intelligent management strategies for natural resource cadastral planning of the patch to be planned, and execute corresponding intelligent integrated management operations for natural resource planning of the patch to be planned.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the intelligent integrated management method of natural resource cadastral information as described in any one of claims 1 to 5 is implemented.

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