Multi-dimensional adaptation method and system for island use based on spatial topology and semantic mining

Abstract

This invention discloses a multi-dimensional adaptation method and system for sea and island use based on spatial topology and semantic mining, belonging to the technical field of marine resource management and territorial spatial planning. The method includes: receiving structured information on sea use, island use, and sea and island use projects; dynamically combining queries and displaying results based on multi-dimensional semantic features; automatically distributing projects and synchronizing their status according to county-level administrative divisions; automatically calling GIS services on the project details page, overlaying multiple layers for spatial topology analysis, and outputting structured conclusions; and generating a PDF analysis report based on a preset template, integrating spatial compliance, suspicious areas, and calculation results of sea area use fees. This invention solves the problems of inconsistent data standards, low efficiency of manual review, and disconnect between business and spatial analysis in existing technologies, realizing scientific review and decision support for sea and island use projects.

Description

Technical Field

[0001] This invention belongs to the field of marine resource management and territorial spatial planning technology, and in particular relates to a multi-dimensional adaptation method and system for sea and island use based on spatial topology and semantic mining. Background Technology

[0002] The management of marine and island utilization projects, as a core component of marine resource management and territorial spatial planning, has long relied on traditional information technology and manual processes. Existing technologies mainly revolve around decentralized business systems or paper-based reports for project application, review, and statistics, but these have revealed significant limitations in practical applications.

[0003] First, at the data management level, the lack of unified standards and specifications in existing technologies leads to prominent issues of data fragmentation and heterogeneity. When reporting sea and island use projects, municipal and county-level units often use custom-defined table formats or unstructured documents with inconsistent field definitions. For example, the unit for sea area use may be mixed up as "hectare" and "mu," or the descriptions of approval status may vary. This data fragmentation makes it difficult for provincial management departments to conduct horizontal comparisons and statistical summaries, which not only increases the manual cost of data cleaning but also easily leads to statistical errors.

[0004] Secondly, at the review process level, existing technologies rely excessively on manual intervention, resulting in low efficiency and a high risk of errors. Key review stages such as planning compliance, ecological protection red lines, and natural shoreline encroachment typically require operators to manually overlay GIS layers for visual assessment. This process is not only time-consuming but also prone to overlooking sensitive areas due to human fatigue or lack of experience.

[0005] Finally, at the system design level, existing technologies suffer from a disconnect between business operations and spatial analysis, resulting in a poor user experience. Most systems separate the "business data entry" and "spatial analysis" modules, requiring users to switch between multiple interfaces and making it impossible to immediately know whether a project involves sensitive areas during data entry. This disconnect not only prolongs the approval cycle but also increases the risk of project rework due to delayed feedback.

[0006] In summary, existing technologies for managing marine and island use projects are inadequate due to insufficient data standardization, inefficient manual review, and a disconnect between existing business operations and the actual needs of marine resource allocation and refined management. There is an urgent need for an integrated, automated, and multi-dimensionally adaptable innovative solution to improve management efficiency and decision-making accuracy.

[0007] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0008] The purpose of this invention is to provide a multi-dimensional adaptation method and system for sea and island use based on spatial topology and semantic mining, which can solve the problems of insufficient data standardization, inefficient manual review, and disconnection between business space and existing sea and island use project management technologies.

[0009] To achieve the above objectives, a first aspect of the present invention provides a multi-dimensional adaptation method for sea and island usage based on spatial topology and semantic mining, comprising the following steps: Receive structured information input for three types of projects: sea use, island use, and sea and island use. The system allows for combined queries based on multiple conditions, including county-level administrative division, project name, industry, approval level / method, approval status, and required year. It also utilizes semantic mining technology to analyze the industry semantic features and approval status semantic tags within the project's structured information. Furthermore, it enables dynamic combined queries and result display based on multi-dimensional semantic features. Based on the county-level administrative division field of the project, the project to be issued is automatically distributed to the corresponding county-level user account, and the project status, including the status of being temporarily stored and submitted, is synchronized within the same county-level unit. The project details page automatically invokes GIS services, overlays multiple geographic information layers to perform spatial topology analysis, and outputs structured analysis conclusions. Specifically, the spatial topology analysis involving overlaying multiple geographic information layers includes: The system automatically invokes GIS services and overlays multiple geographic information layers according to preset priorities, including a shoreline data layer, a historical reclamation layer, an uninhabited island layer, an ecological protection red line layer, a territorial spatial planning layer, and a provincial coastal zone and marine spatial planning layer. The overlay operation is based on spatial index optimization and uses quadtree or R-tree algorithms to accelerate vector data queries. By overlaying shoreline data layers, the shortest distance and azimuth between the project vector and the shoreline are calculated. Combined with tidal data, the location of the project on the seaward or landward side of the shoreline is dynamically determined, and a confidence score is output. When overlaying at least one of the following layers: historical reclamation layer, uninhabited island layer, and ecological protection red line layer, semantic mining technology is integrated to parse industry characteristics and approval status from the project's structured information and to perform weighted analysis on the overlapping areas. When overlaying the national land spatial planning layer and the provincial coastal zone and marine spatial planning layer, the spatial relationship between the project vector and the planning zone is compared in real time. This not only determines whether they overlap, but also performs dynamic compliance verification based on semantic features. If they overlap, the zone and compliance conclusion are output. If they do not overlap, an early warning is triggered and optimization suggestions are generated. The analysis results of each sub-step are integrated, and a structured conclusion is generated through a spatial topological relationship model, including overlapping area, compliance score and list of suspicious points and areas, and synchronized to the intelligent report generation module in real time. Based on a preset template, the system automatically fills in project information and spatial topology analysis results, generating a PDF analysis report.

[0010] Optionally, the structured information includes the applicant, construction content, sea / island use type, method, area, term, natural coastline occupation, and whether it involves unapproved but filled fields, and supports uploading PDF approval documents.

[0011] Optionally, the geographic information layer includes a basic geographic layer, a planning layer, and a sensitive area layer.

[0012] Optionally, multiple geographic information layers can be overlaid for spatial topology analysis, specifically including: The system automatically invokes GIS services and overlays multiple geographic information layers according to preset priorities, including a shoreline data layer, a historical reclamation layer, an uninhabited island layer, an ecological protection red line layer, a territorial spatial planning layer, and a provincial coastal zone and marine spatial planning layer. The overlay operation is based on spatial index optimization and uses quadtree or R-tree algorithms to accelerate vector data queries and reduce computational latency. By overlaying shoreline data layers, the shortest distance and azimuth between the project vector and the shoreline are calculated. Combined with tidal data, the location of the project on the seaward or landward side of the shoreline is dynamically determined, and a confidence score is output. When overlaying at least one of the following layers: historical reclamation layer, uninhabited island layer, and ecological protection red line layer, semantic mining technology is integrated to parse industry characteristics and approval status from the project's structured information and to perform weighted analysis on the overlapping areas. When overlaying the national land spatial planning layer and the provincial coastal zone and marine spatial planning layer, the spatial relationship between the project vector and the planning zone is compared in real time. This not only determines whether they overlap, but also performs dynamic compliance verification based on semantic features. If they overlap, the zone and compliance conclusion are output. If they do not overlap, an early warning is triggered and optimization suggestions are generated. The analysis results from each sub-step are integrated to generate structured conclusions through a spatial topological relationship model, including overlapping area, compliance score, and a list of suspicious points and areas. These conclusions are then synchronized in real time to the intelligent report generation module to support decision visualization.

[0013] Optionally, the step of performing spatial topology analysis by overlaying multiple geographic information layers further includes: Analyze industry semantic features from the project's structured information, associate them with the sea area control indicators or industry standards for the construction project, and conduct an area rationality analysis. Based on multi-dimensional semantic features, the system enables dynamic combination queries by administrative division, project name, and approval status, and displays the query results in a list with the ability to switch area units.

[0014] Optionally, project information can be imported with a single click using a standardized Excel template, including: It provides standardized Excel import templates, whose fields strictly correspond to the system's data entry page, and integrates a dynamic validation engine; the validation engine is based on a predefined rule base and automatically verifies data format, logical consistency, and integrity. Batch parsing of multi-line sea and island usage sub-items, each sub-item including multiple island names, types, and areas; wherein, the parsing process integrates semantic mining technology to extract key features from the sub-item text and intelligently deduplicates and completes the data by associating it with a historical item database; After the import is completed, the spatial analysis linkage module is automatically triggered to conduct a rapid compliance pre-review of the new project; this includes overlaying basic geographic information layers for overlap analysis and generating an import summary report, which includes data quality scores, potential issues, and spatial compliance tips.

[0015] A second aspect of the present invention also provides a multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining for implementing the above-described method, comprising: The information entry module is configured to receive structured information entry for three types of projects: sea use, island use, and sea and island use. The multi-dimensional query and display module is configured to perform combined queries based on multiple conditions, including county-level administrative division, project name, industry, approval level / method, whether approval has been completed, and the year of demand. It dynamically displays the list of query results and supports global switching between hectares and mu for area units. The project distribution and status synchronization module is configured to automatically distribute projects to be distributed to the corresponding county-level user accounts based on the county-level administrative division field of the project, and synchronize the project status within the same county-level unit, including the status of temporary storage and submitted status, to prevent duplicate entry. The spatial topology analysis module is configured to automatically invoke GIS services on the project details page, overlay multiple geographic information layers to perform spatial topology analysis, and output structured analysis conclusions. Specifically, the spatial topology analysis involving overlaying multiple geographic information layers includes: The system automatically invokes GIS services and overlays multiple geographic information layers according to preset priorities, including a shoreline data layer, a historical reclamation layer, an uninhabited island layer, an ecological protection red line layer, a territorial spatial planning layer, and a provincial coastal zone and marine spatial planning layer. The overlay operation is based on spatial index optimization and uses quadtree or R-tree algorithms to accelerate vector data queries. By overlaying shoreline data layers, the shortest distance and azimuth between the project vector and the shoreline are calculated. Combined with tidal data, the location of the project on the seaward or landward side of the shoreline is dynamically determined, and a confidence score is output. When overlaying at least one of the following layers: historical reclamation layer, uninhabited island layer, and ecological protection red line layer, semantic mining technology is integrated to parse industry characteristics and approval status from the project's structured information and to perform weighted analysis on the overlapping areas. When overlaying the national land spatial planning layer and the provincial coastal zone and marine spatial planning layer, the spatial relationship between the project vector and the planning zone is compared in real time. This not only determines whether they overlap, but also performs dynamic compliance verification based on semantic features. If they overlap, the zone and compliance conclusion are output. If they do not overlap, an early warning is triggered and optimization suggestions are generated. The analysis results of each sub-step are integrated, and a structured conclusion is generated through a spatial topological relationship model, including overlapping area, compliance score and list of suspicious points and areas, and synchronized to the intelligent report generation module in real time. The report generation module is configured to automatically fill in project information and spatial topology analysis results based on a preset template, and generate a PDF analysis report. The report includes spatial compliance analysis, spatial access analysis, analysis of suspicious points and areas, area rationality, and calculation conclusions of sea area use fees.

[0016] Optionally, the multi-dimensional adaptation system for sea and island usage based on spatial topology and semantic mining also includes: The semantic analysis and query integration module is configured to parse industry semantic features from the project's structured information, associate them with the sea area control indicators or industry standards of the construction project, and conduct area rationality analysis. Based on multi-dimensional semantic features, it performs dynamic combined queries by administrative division, project name, and approval status, while also displaying the query results in a list and allowing global switching between hectares and mu for area units; The semantic analysis and query integration module works in conjunction with the spatial topology analysis module to ensure that the semantic mining results are applied to the spatial analysis process in real time, thereby enhancing the accuracy and efficiency of multi-dimensional adaptation.

[0017] Optionally, the system further includes a one-click import and template management module, configured as follows: Project information can be imported with one click using a standardized Excel template. The fields in the standardized Excel template strictly correspond to those on the system's data entry page, ensuring a consistent data format. Supports batch parsing of multiple rows of sea and island usage sub-items, which include multiple island names, types and areas, enabling efficient data import and sub-item management; The one-click import and template management module integrates template verification logic, automatically matches fields and processes batch data to reduce human error and improve data entry efficiency.

[0018] Optionally, the semantic analysis and query integration module is also configured as follows: Based on the semantic mining results, a site selection comparison scheme is generated, and an optimized scheme is output by combining the city where the project is located, the sea area, and the sea use type. The three control lines and interfaces of the main environmentally sensitive areas are associated with semantic compliance review.

[0019] Compared with existing technologies, the multi-dimensional adaptation method and system for sea and island use based on spatial topology and semantic mining according to the present invention has the following advantages or beneficial effects: This invention achieves standardized management of data for three types of projects: sea use, island use, and sea and island use. It pre-sets unified fields, such as applicant, sea use type, and area, eliminating the confusion caused by inconsistent reporting formats at the city and county levels. This allows for direct horizontal comparison and statistical summarization at the provincial level, improving data consistency. The Excel template supports batch parsing of multiple rows of sea and island use sub-items. Combined with template validation logic, it reduces data entry time from hours of traditional manual processing to minutes, lowering the human error rate.

[0020] This invention achieves intelligent and automated review processes by automatically associating spatial analysis capabilities. It automatically invokes GIS services to overlay geographic information layers, performing analyses such as planning compliance and identifying suspicious areas, reducing review time—previously reliant on manual layer overlay—from hours to seconds, and preventing the oversight of sensitive areas. It supports queries based on administrative divisions, industries, approval status, and other criteria, dynamically displaying results and supporting area unit switching, enabling reviewers to quickly locate problematic items and improving query efficiency.

[0021] This invention deeply integrates business data entry with spatial analysis, enabling collaborative management across the entire process. When users submit project information, the system automatically triggers spatial analysis, providing immediate feedback on whether sensitive areas are involved, avoiding the delays of independent verification required after data entry in traditional systems. Based on preset templates, it automatically generates PDF review reports, including conclusions such as spatial compliance analysis and calculation of sea area usage fees, assisting decision-makers in rapid approval. Report generation time is reduced from several days of manual drafting to real-time output.

[0022] This invention, through core functional innovation, not only addresses the three major pain points in the background technology but also achieves coordinated management and control of the scientific allocation of marine resources and territorial spatial planning. Data management shifts from decentralized to centralized, review efficiency improves from inefficient manual processes to highly efficient intelligent processes, and system design moves from fragmented to integrated approaches. This enables scientific decision-making for major provincial-level marine and island use projects, reduces management costs, and enhances the accuracy of territorial spatial planning. Attached Figure Description

[0023] Figure 1 A flowchart illustrating a multi-dimensional adaptation method for sea and island usage based on spatial topology and semantic mining according to an embodiment of the present invention. Figure 2 A schematic diagram of the project distribution of a multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining according to an embodiment of the present invention; Figure 3 A schematic diagram of structured information input for a multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining according to an embodiment of the present invention. Figure 4 A schematic diagram of the spatial analysis results of a multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining according to an embodiment of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein.

[0026] It should be understood that in the various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0027] It should be understood that in this invention, "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0028] It should be understood that in this invention, "multiple" refers to two or more. "And / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, "and / or B" can represent: A existing alone, A and B existing simultaneously, and B existing alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "Contains A, B, and C", "Contains A, B, and C" means that all three A, B, and C are contained; "Contains A, B, or C" means that one of A, B, and C is contained; "Contains A, B, and / or C" means that any one, two, or three of A, B, and C are contained.

[0029] It should be understood that in this invention, "B corresponding to A", "B corresponding to A", "A and B correspond", or "B and A correspond" means that B is associated with A, and B can be determined based on A. Determining B based on A does not mean determining B solely based on A; B can also be determined based on A and / or other information. Matching A and B is defined as a similarity between A and B that is greater than or equal to a preset threshold.

[0030] Depending on the context, "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection."

[0031] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0032] like Figures 1 to 4 As shown, the multi-dimensional adaptation method for sea and island use based on spatial topology and semantic mining according to a preferred embodiment of the present invention includes the following steps: The system accepts structured information for three types of projects: sea use, island use, and sea and island use. It should be noted that the structured information includes the applicant, construction content, sea / island use type, method, area, term, natural coastline occupation, and whether it involves fields that have not yet been approved but have been filled in. Uploading PDF approval documents is also supported. (Specific details are as follows...) Figure 3As shown, this interface is the information entry page for project application, which is divided into two main sections: "Basic Information" and "Marine Use Information". The "Basic Information" section includes asterisked (required) and optional fields such as project name, region, and industry. It covers basic data such as total investment, marine-related investment, expected project completion and commencement dates, and project construction content. It also includes optional information such as the approving authority, project status, and whether it involves a three-dimensional structure. The "Marine Use Information" section focuses on marine use approval-related content, including fields such as approval level, approval method, expected application time, and whether it involves natural coastlines and protection red lines. The table below presents detailed marine use information, allowing users to fill in information such as marine use type, marine use classification guidelines, marine use method, marine use area, marine use term, and marine use scope. It supports adding rows, importing vector data, and deleting data. At the bottom of the page are "Save" and "Submit" buttons for temporarily saving or formally submitting application information. The entire interface design revolves around the information collection and management required for the entire project application process, ensuring the integrity and standardization of application data through structured fields and interactive functions.

[0033] The system allows for combined queries based on multiple criteria, including county-level administrative division, project name, industry, approval level / method, whether approval has been completed, and the year of demand. It dynamically displays a list of query results and supports global switching between hectares and mu for area units. Based on the county-level administrative division field of the project, the system automatically distributes projects to the corresponding county-level user accounts and synchronizes project status within the same county-level unit. Specifically, as follows... Figure 2 As shown, the project status includes "stuck" and "submitted" to prevent duplicate submissions. The project details page automatically calls GIS services, overlays multiple geographic information layers to perform spatial topology analysis, and outputs structured analysis conclusions. Based on a preset template, the system automatically fills in project information and spatial topology analysis results to generate a PDF analysis report. The report includes spatial compliance analysis, spatial access analysis, analysis of suspicious areas, area rationality, and calculation conclusions of sea area usage fees.

[0034] In this embodiment of the invention, the geographic information layer includes a basic geographic layer, a planning layer, and a sensitive area layer. The basic geographic layer includes data on the landward / seaward side of the coastline, historical reclamation, uninhabited islands, land procedures on the seaward side, and cultivated land on the seaward side. The planning layer includes data on national land spatial planning, provincial coastal zone and marine spatial planning, and ecological protection red line data. The sensitive area layer includes data on ecological red line islands, land coastline / inhabited island coastline / uninhabited island coastline, rationality of area indicators, ownership overlap analysis, analysis of suspicious points and areas, calculation of sea area use fees, site selection comparison schemes, three control lines, and data on major environmentally sensitive areas.

[0035] In embodiments of the present invention, such as Figure 4 The diagram shown is a spatial analysis result of the multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining of the present invention. It intuitively demonstrates the integrated application of spatial topology analysis and semantic mining in the technical solution and the fully automated adaptation capability. Figure 4 The left-hand menu is categorized into "Marine Area Use Demonstration," "Spatial Planning Status," and "Marine Functional Zoning," further subdivided into sub-items such as "Coastline Utilization Status" and "Historical Reclamation." The right-hand content area outputs structured analysis through semantic conclusions (such as "This project's use of the sea does not involve the coastline" and "Does not involve historical reclamation"), with red text highlighting points of doubt. The "Print Preview" button in the upper right corner is linked to the intelligent report generation module, supporting PDF report preview and demonstrating the linkage between spatial analysis results and reports. The above demonstrates how the system, through the synergy of spatial topology analysis and semantic mining, achieves end-to-end adaptation from data collection and multi-dimensional analysis to report generation, supporting scientific decision-making for sea and island use projects.

[0036] The steps for spatial topology analysis by overlaying multiple geographic information layers in this embodiment of the invention specifically include: The system automatically invokes GIS services and overlays multiple geographic information layers according to preset priorities, including a shoreline data layer, a historical reclamation layer, an uninhabited island layer, an ecological protection red line layer, a territorial spatial planning layer, and a provincial coastal zone and marine spatial planning layer. The overlay operation is based on spatial index optimization and uses quadtree or R-tree algorithms to accelerate vector data queries and reduce computational latency. By overlaying shoreline data layers, the shortest distance and azimuth between the project vector and the shoreline are calculated. Combined with tidal data, the location of the project on the seaward or landward side of the shoreline is dynamically determined, and a confidence score is output. When overlaying at least one of the following layers: historical reclamation layer, uninhabited island layer, and ecological protection red line layer, semantic mining technology is integrated to parse industry characteristics and approval status from the project's structured information and perform weighted analysis on overlapping areas. For example, for the ecological protection red line layer, if the project involves sensitive industries, the priority of the overlap analysis is automatically increased, and the identification information of the overlapping areas is output, including the patch number, red line name, and semantic label. When overlaying the national land spatial planning layer and the provincial coastal zone and marine spatial planning layer, the spatial relationship between the project vector and the planning zone is compared in real time. It not only determines whether they overlap, but also performs dynamic compliance verification based on semantic features (such as project industry type). If they overlap, the zone and compliance conclusion are output. If they do not overlap, an early warning is triggered and optimization suggestions are generated. The analysis results of each sub-step are integrated, and structured conclusions are generated through spatial topological relationship models (such as the nine-intersection model), including overlapping area, compliance score and list of doubtful points and areas, and synchronized in real time to the intelligent report generation module to support decision visualization.

[0037] Furthermore, the specific spatial topology analysis steps include the following: (1) Coastline towards the sea / land: Based on the “21-year revised land coastline data”, “inhabited island coastline”, and “inhabited island coastline”, determine whether the vector of this project is located on the sea side or the land side.

[0038] (2) Historical reclamation: Overlay the project vector data with the "data on handling historical reclamation issues" to determine whether the project vector data overlaps with historical reclamation data. If there is overlap, indicate the catalog number and handling classification of the relevant map patches.

[0039] (3) Uninhabited islands: Overlay the project vector data with the "uninhabited island data" to determine whether the project vector coincides with the uninhabited islands. If there is an overlap, it indicates the islands involved.

[0040] (4) Land procedures on the sea side: Overlay the project vector data with “land procedures on the sea side” and determine whether the project vector coincides with the land procedures on the sea side. If there is an overlap, explain the land approval number and the time of the land approval involved.

[0041] (5) Coastal farmland: Overlay the project vector data with “cultivated land on the coast” and determine whether the project vector overlaps with the cultivated land on the coast. If there is overlap, it indicates that it is involved.

[0042] (6) Territorial Spatial Planning: Overlay the project vector data with "Territorial Spatial Planning" to determine whether the project vector coincides with the territorial spatial planning. If there is an overlap, it means that it conforms to the territorial spatial planning and needs to be explained in terms of the zoning. If there is no overlap, it does not conform.

[0043] (7) Provincial Coastal Zone and Marine Spatial Planning: Overlay the project vector data with the "Coastal Zone and Marine Spatial Planning" to determine whether the project vector data overlaps with the provincial coastal zone and marine spatial planning. If there is overlap, it indicates compliance with the provincial coastal zone and marine spatial planning. It is necessary to explain the zoning and also consider the spatial access requirements. If there is no overlap, it does not comply.

[0044] (8) Ecological protection red line: Overlay the project vector data with the "ecological protection red line" to determine whether the project vector coincides with the ecological protection red line. If there is an overlap, it indicates the red line involved.

[0045] (9) Ecological protection red line islands: Overlay the project vector data with the "×× Province Island Place Name Survey" to determine whether the project vector overlaps with the ×× Province Island Place Name Survey. If there is an overlap, refer to the "Ecological Red Line Island Table". If the island is a red line island, explain the name of the red line island involved.

[0046] (10) Land coastline / inhabited island coastline / uninhabited island coastline: Overlay the project vector data with the "coastline data" to determine whether the project vector coincides with the coastline. If there is an overlap, indicate the natural coastline number involved.

[0047] (11) Reasonableness of area indicators: Based on the industry of the project, explain whether the project should comply with the control indicators for sea area of ​​construction projects; if the control indicators for sea area of ​​construction projects are not applicable, they should comply with relevant industry standards.

[0048] (12) Ownership overlap analysis: Superimpose the project vector data with the "ownership data" to determine whether the project vector data overlaps with the ownership data. If there is overlap, it indicates the overlapping area.

[0049] (13) Analysis of suspicious points and areas: Overlay the project vector data with “suspicious points and areas” to determine whether the project vector overlaps with the suspicious points and areas. If there is overlap, indicate the number of the overlapping suspicious points and areas.

[0050] (14) Calculation of sea area use: Marine use project: Project vector overlay level vector data, obtain the level and grade (coefficient) of marine use method, marine area 1 + marine area 2 + ... = total marine area, marine area 1 × coefficient 1 + marine area 2 × coefficient 2 + marine area 3 × coefficient 3 + ... = total marine use fee.

[0051] Island use project: "Minimum price for the transfer of uninhabited island use rights = area of ​​uninhabited island use rights transfer × term of transfer × minimum standard for the transfer of uninhabited island use rights".

[0052] (15) Site selection scheme: Based on the project fields “city”, “sea area”, and “sea type”, and combined with the site selection method, a site selection scheme is obtained.

[0053] (16) Three control lines and main environmentally sensitive areas: online interface acquisition results.

[0054] In this embodiment of the invention, the step of performing spatial topology analysis by overlaying multiple geographic information layers further includes: Analyze industry semantic features from the project's structured information, associate them with the sea area control indicators or industry standards for the construction project, and conduct an area rationality analysis. Based on multi-dimensional semantic features, the system enables dynamic combination queries by administrative division, project name, and approval status, and displays the query results in a list with the ability to switch area units.

[0055] In this embodiment of the invention, the step of importing project information with one click using a standardized Excel template specifically includes: It provides standardized Excel import templates, whose fields strictly correspond to the system's data entry page, and integrates a dynamic validation engine. The validation engine is based on a predefined rule base and automatically verifies the data format, logical consistency, and integrity. For example, it checks whether the area field is a non-negative value, whether the island type conforms to industry standards, and provides real-time highlighting prompts and correction suggestions for abnormal data. Batch parsing of multiple sea and island usage sub-items, each sub-item includes multiple island names, types, and areas; wherein, the parsing process integrates semantic mining technology to extract key features from the sub-item text, such as automatically inferring the industry to which it belongs based on the island name, and intelligently deduplicating and completing by associating with the historical project database to reduce human input errors; After the import is completed, the spatial analysis linkage module is automatically triggered to conduct a rapid compliance pre-review of the new project. This includes overlaying basic geographic information layers (such as ecological protection red lines and land spatial planning) for overlay analysis and generating an import summary report. The report includes data quality scores, potential issues, and spatial compliance tips.

[0056] Furthermore, it supports dynamic updates and version control of template fields. When the system enters a page that changes, a new version of the template is automatically generated. It also provides a data rollback function to ensure data traceability and consistency.

[0057] This invention also provides an embodiment of a multi-dimensional adaptation system for sea and island usage based on spatial topology and semantic mining, comprising: The information entry module is configured to receive structured information entry for three types of projects: sea use, island use, and sea and island use. The multi-dimensional query and display module is configured to perform combined queries based on multiple conditions, including county-level administrative division, project name, industry, approval level / method, whether approval has been completed, and the year of demand. It dynamically displays the list of query results and supports global switching between hectares and mu for area units. The project distribution and status synchronization module is configured to automatically distribute projects to be distributed to the corresponding county-level user accounts based on the county-level administrative division field of the project, and synchronize the project status within the same county-level unit, including the status of temporary storage and submitted status, to prevent duplicate entry. The spatial topology analysis module is configured to automatically call GIS services on the project details page, overlay multiple geographic information layers to perform spatial topology analysis, and output structured analysis conclusions. The report generation module is configured to automatically fill in project information and spatial topology analysis results based on a preset template, and generate a PDF analysis report. The report includes spatial compliance analysis, spatial access analysis, analysis of suspicious points and areas, area rationality, and calculation conclusions of sea area use fees.

[0058] In this embodiment of the invention, the multi-dimensional adaptation system for sea and island usage based on spatial topology and semantic mining further includes: The semantic analysis and query integration module is configured to parse industry semantic features from the project's structured information, associate them with the project's sea area control indicators or industry standards, and conduct area rationality analysis. Based on multi-dimensional semantic features, it performs dynamic combined queries by administrative division, project name, and approval status, while simultaneously displaying the query results in a list and globally switching the area unit between hectares and acres. This solution uses semantic matching to verify whether the area complies with regulations in real time, reducing the rationality judgment time from hours of manual verification to seconds of automatic processing, thus improving accuracy. The area rationality analysis not only outputs a conclusion on compliance but also provides optimization suggestions based on semantic features, such as adjusting the sea area to match control indicators. It supports global switching between hectares and acres to adapt to different user habits, ensure data consistency, and avoid decision-making errors caused by unit confusion.

[0059] The semantic analysis and query integration module works in conjunction with the spatial topology analysis module to ensure that semantic mining results are applied to the spatial analysis process in real time, thereby enhancing the accuracy and efficiency of multi-dimensional adaptation. Based on multi-dimensional semantic features, such as administrative divisions, project names, and approval status, dynamic combined queries are enabled. The dynamic query results are displayed in a structured list, integrating key fields such as sea area and approval progress, and providing highlighting and sorting functions.

[0060] In this embodiment of the invention, the multi-dimensional adaptation system for sea and island usage based on spatial topology and semantic mining also includes a one-click import and template management module, configured to: import project information with one click through a standardized Excel template, wherein the fields of the standardized Excel template strictly correspond to the system input page to ensure data format uniformity; support batch parsing of multiple rows of sea and island usage sub-items, wherein the sea and island usage sub-items include multiple island names, types and areas, to achieve efficient data import and sub-item management; wherein, the one-click import and template management module integrates template verification logic, automatically matches fields and processes batch data to reduce human error and improve input efficiency.

[0061] In this embodiment of the invention, the semantic analysis and query integration module is further configured as follows: Based on semantic mining results, site selection comparison schemes are generated, and optimized schemes are output by combining fields such as the city where the project is located, the sea area used, and the type of sea use. Semantic compliance review is conducted by associating three control lines and interfaces with major environmentally sensitive areas. This embodiment of the invention outputs optimized schemes by semantically associating historical project data and regional planning characteristics, such as prioritizing areas with low ecological impact and high resource matching, shortening the site selection assessment time from weeks to real-time or minutes, and reducing human error. Automated semantic matching is achieved by associating three control lines—ecological protection red lines, permanent basic farmland, and urban development boundaries—with interfaces with major environmentally sensitive areas. Compliance risks are automatically identified, improving the review accuracy rate to over 95%, and reducing response time from hours to seconds.

[0062] The foregoing description of specific exemplary embodiments of the invention is for illustrative and explanatory purposes. These descriptions are not intended to limit the invention to the precise forms disclosed, and it will be apparent that many changes and variations can be made in accordance with the foregoing teachings. The exemplary embodiments were chosen and described in order to explain the specific principles of the invention and its practical application, thereby enabling those skilled in the art to implement and utilize various different exemplary embodiments of the invention, as well as various different choices and variations. The scope of the invention is intended to be defined by the claims and their equivalents.

Claims

1. A multi-dimensional adaptation method for sea and island usage based on spatial topology and semantic mining, characterized in that, Includes the following steps: Receive structured information input for three types of projects: sea use, island use, and sea and island use. The system allows for combined queries based on multiple conditions, including county-level administrative division, project name, industry, approval level / method, approval status, and required year. It also utilizes semantic mining technology to analyze the industry semantic features and approval status semantic tags within the project's structured information. Furthermore, it enables dynamic combined queries and result display based on multi-dimensional semantic features. Based on the county-level administrative division field of the project, the project to be issued is automatically distributed to the corresponding county-level user account, and the project status, including the status of being temporarily stored and submitted, is synchronized within the same county-level unit. The project details page automatically invokes GIS services, overlays multiple geographic information layers to perform spatial topology analysis, and outputs structured analysis conclusions. Specifically, the spatial topology analysis involving overlaying multiple geographic information layers includes: The system automatically invokes GIS services and overlays multiple geographic information layers according to preset priorities, including a shoreline data layer, a historical reclamation layer, an uninhabited island layer, an ecological protection red line layer, a territorial spatial planning layer, and a provincial coastal zone and marine spatial planning layer. The overlay operation is based on spatial index optimization and uses quadtree or R-tree algorithms to accelerate vector data queries. By overlaying shoreline data layers, the shortest distance and azimuth between the project vector and the shoreline are calculated. Combined with tidal data, the location of the project on the seaward or landward side of the shoreline is dynamically determined, and a confidence score is output. When overlaying at least one of the following layers: historical reclamation layer, uninhabited island layer, and ecological protection red line layer, semantic mining technology is integrated to parse industry characteristics and approval status from the project's structured information and to perform weighted analysis on the overlapping areas. When overlaying the national land spatial planning layer and the provincial coastal zone and marine spatial planning layer, the spatial relationship between the project vector and the planning zone is compared in real time. This not only determines whether they overlap, but also performs dynamic compliance verification based on semantic features. If they overlap, the zone and compliance conclusion are output. If they do not overlap, an early warning is triggered and optimization suggestions are generated. The analysis results of each sub-step are integrated, and a structured conclusion is generated through a spatial topological relationship model, including overlapping area, compliance score and list of suspicious points and areas, and synchronized to the intelligent report generation module in real time. Based on a preset template, the system automatically fills in project information and spatial topology analysis results, generating a PDF analysis report.

2. The multi-dimensional adaptation method for sea and island use based on spatial topology and semantic mining according to claim 1, characterized in that, The structured information includes the applicant, construction content, type of sea / island use, method, area, term, natural coastline occupation, and whether it involves unapproved but filled fields.

3. The multi-dimensional adaptation method for sea and island use based on spatial topology and semantic mining according to claim 1, characterized in that, The geographic information layers include a basic geographic layer, a planning layer, and a sensitive area layer.

4. The multi-dimensional adaptation method for sea and island use based on spatial topology and semantic mining according to claim 1, characterized in that, The step of performing spatial topology analysis by overlaying multiple geographic information layers also includes: Analyze industry semantic features from the project's structured information, associate them with the sea area control indicators or industry standards for the construction project, and conduct an area rationality analysis. Based on multi-dimensional semantic features, the system enables dynamic combination queries by administrative division, project name, and approval status, and displays the query results in a list with the ability to switch area units.

5. The multi-dimensional adaptation method for sea and island use based on spatial topology and semantic mining according to claim 1, characterized in that, Import project information with a single click using a standardized Excel template, including: It provides standardized Excel import templates, whose fields strictly correspond to the system's data entry page, and integrates a dynamic validation engine; the validation engine is based on a predefined rule base and automatically verifies data format, logical consistency, and integrity. Batch parsing of multi-line sea and island usage sub-items, each sub-item including multiple island names, types, and areas; wherein, the parsing process integrates semantic mining technology to extract key features from the sub-item text and intelligently deduplicates and completes the data by associating it with a historical item database; After the import is completed, the spatial analysis linkage module is automatically triggered to conduct a rapid compliance pre-review of the new project; this includes overlaying basic geographic information layers for overlap analysis and generating an import summary report, which includes data quality scores, potential issues, and spatial compliance tips.

6. A multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining for implementing the method of any one of claims 1 to 5, characterized in that, include: The information entry module is configured to receive structured information entry for three types of projects: sea use, island use, and sea and island use. The multi-dimensional query and display module is configured to perform combined queries based on multiple conditions, including county-level administrative division, project name, industry, approval level / method, whether approval has been completed, and the year of demand. It dynamically displays the list of query results and supports global switching between hectares and mu for area units. The project distribution and status synchronization module is configured to automatically distribute projects to be distributed to the corresponding county-level user accounts based on the county-level administrative division field of the project, and synchronize the project status within the same county-level unit, including the status of temporary storage and submitted status, to prevent duplicate entry. The spatial topology analysis module is configured to automatically invoke GIS services on the project details page, overlay multiple geographic information layers to perform spatial topology analysis, and output structured analysis conclusions. Specifically, the spatial topology analysis involving overlaying multiple geographic information layers includes: The system automatically invokes GIS services and overlays multiple geographic information layers according to preset priorities, including a shoreline data layer, a historical reclamation layer, an uninhabited island layer, an ecological protection red line layer, a territorial spatial planning layer, and a provincial coastal zone and marine spatial planning layer. The overlay operation is based on spatial index optimization and uses quadtree or R-tree algorithms to accelerate vector data queries. By overlaying shoreline data layers, the shortest distance and azimuth between the project vector and the shoreline are calculated. Combined with tidal data, the location of the project on the seaward or landward side of the shoreline is dynamically determined, and a confidence score is output. When overlaying at least one of the following layers: historical reclamation layer, uninhabited island layer, and ecological protection red line layer, semantic mining technology is integrated to parse industry characteristics and approval status from the project's structured information and to perform weighted analysis on the overlapping areas. When overlaying the national land spatial planning layer and the provincial coastal zone and marine spatial planning layer, the spatial relationship between the project vector and the planning zone is compared in real time. This not only determines whether they overlap, but also performs dynamic compliance verification based on semantic features. If they overlap, the zone and compliance conclusion are output. If they do not overlap, an early warning is triggered and optimization suggestions are generated. The analysis results of each sub-step are integrated, and a structured conclusion is generated through a spatial topological relationship model, including overlapping area, compliance score and list of suspicious points and areas, and synchronized to the intelligent report generation module in real time. The report generation module is configured to automatically fill in project information and spatial topology analysis results based on a preset template, and generate a PDF analysis report. The report includes spatial compliance analysis, spatial access analysis, analysis of suspicious points and areas, area rationality, and calculation conclusions of sea area use fees.

7. The multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining according to claim 6, characterized in that, Also includes: The semantic analysis and query integration module is configured to parse industry semantic features from the project's structured information, associate them with the sea area control indicators or industry standards of the construction project, and conduct area rationality analysis. Based on multi-dimensional semantic features, it performs dynamic combined queries by administrative division, project name, and approval status, while also displaying the query results in a list and allowing global switching between hectares and mu for area units; The semantic analysis and query integration module works in conjunction with the spatial topology analysis module.

8. The multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining according to claim 6, characterized in that, The system also includes a one-click import and template management module, configured as follows: Project information can be imported with one click using a standardized Excel template, the fields of which strictly correspond to the system's data entry page; Supports batch parsing of multiple rows of sea and island usage sub-items, where each sea and island usage sub-item includes multiple island names, types, and areas; The one-click import and template management module integrates template validation logic, automatically matches fields, and processes batch data.

9. The multi-dimensional adaptation system for sea and island use based on spatial topology and semantic mining according to claim 7, characterized in that, The semantic analysis and query integration module is also configured as follows: Based on the semantic mining results, a site selection comparison scheme is generated, and an optimized scheme is output by combining the city where the project is located, the sea area, and the sea use type. The three control lines and the interface of the environmentally sensitive area are associated to conduct semantic compliance review.

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