Conflict processing method and device

By obtaining map data and planning information from land planning, spatially related plots are identified, and multi-dimensional evaluations are conducted to generate processing strategies. This solves the accuracy problem of conflicts between reserve land and cultural relic protection land, and improves processing efficiency and accuracy.

CN121581402APending Publication Date: 2026-02-27CHINA MOBILE GROUP ZHEJIANG +3
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Patent Information

Application Number
CN202511733784.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-24
Publication Date
2026-02-27

AI Technical Summary

Technical Problem

In the process of land planning, the overlap between reserve land and cultural relic protection land leads to conflicts in land use functions that are difficult to handle accurately, resulting in obstacles to the implementation of plans and waste of resources. Moreover, relying on manual experience is inefficient and prone to errors.

Method used

By acquiring map data, planning reference information, and land planning information, we can identify spatially related plots of land for cultural relic protection and land reserves, and conduct conflict assessments according to spatial, functional, visual, and environmental dimensions to generate corresponding handling strategies.

Benefits of technology

It improves the accuracy of conflict handling, reduces the amount of data to be processed, quantifies the severity of conflicts, provides a basis for differentiated handling, and enhances the efficiency and accuracy of conflict handling.

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Abstract

The embodiment of the invention provides a conflict processing method and device. The method comprises the steps that map data, planning reference information related to cultural relic protection and land planning information related to reserve land are acquired; according to the map data, the planning reference information and the land planning information, determining a space associated land parcel of the cultural relic protection and reserve land in the map data; according to the evaluation dimension, evaluating the conflict between the reserve land and the cultural relic protection in the space-associated land parcel to obtain conflict evaluation information of the space-associated land parcel; the evaluation dimensions comprise a space dimension, a function dimension, a visual dimension and an environment dimension; and according to the conflict evaluation information, generating a conflict processing strategy of the space associated plot. Through the embodiment, the accuracy of conflict processing can be improved.
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Description

Technical Field

[0001] This document relates to the field of data processing technology, and in particular to a conflict resolution method and apparatus. Background Technology

[0002] Land planning is a comprehensive arrangement and specific deployment made based on the needs of economic and social development and the carrying capacity of resources and the environment, regarding the use, scale, layout, protection and development of land within a certain period. Its core is to achieve the rational allocation and sustainable use of land resources.

[0003] Conflicts may arise during land planning. For example, overlapping areas of land reserved for cultural relic protection can lead to conflicts in land use functions, resulting in a series of chain problems such as hindered planning implementation and resource waste. Relying on the experience of professionals to resolve these conflicts is labor-intensive, inefficient, and prone to human error. Therefore, how to accurately handle conflicts arising during land planning is receiving increasing attention. Summary of the Invention

[0004] This disclosure provides a conflict resolution method and apparatus to address the problem of improving the accuracy of conflict resolution.

[0005] In a first aspect, embodiments of this disclosure provide a conflict resolution method, including: Obtain map data, planning reference information related to cultural relic protection, and land planning information related to land reserves; Based on the map data, the planning reference information, and the land planning information, determine the spatially related plots of cultural relic protection and the reserve land in the map data; The conflict between the reserve land and the cultural relic protection in the spatially associated plots is evaluated according to the evaluation dimensions to obtain the conflict evaluation information of the spatially associated plots; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; Based on the conflict assessment information, a conflict resolution strategy is generated for the spatially associated land parcels.

[0006] Secondly, embodiments of this disclosure provide a conflict resolution apparatus, including: The data acquisition module is used to acquire map data, planning reference information related to cultural relic protection, and land planning information related to land reserves; The land parcel determination module is used to determine the spatially related land parcels of the cultural relic protection area and the reserve land in the map data based on the map data, the planning reference information and the land planning information. The land parcel evaluation module is used to evaluate the conflict between the reserve land and the cultural relic protection in the spatially associated land parcels according to the evaluation dimensions, and obtain the conflict evaluation information of the spatially associated land parcels; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; The strategy generation module is used to generate conflict resolution strategies for the spatially associated land parcels based on the conflict assessment information.

[0007] Thirdly, embodiments of this disclosure provide an electronic device, including: a memory, a processor, and computer-executable instructions stored in the memory and executable on the processor, wherein the computer-executable instructions, when executed by the processor, implement the method described in the first aspect above.

[0008] Fourthly, embodiments of this disclosure provide a computer-readable storage medium for storing computer-executable instructions that, when executed by a processor, implement the method described in the first aspect above.

[0009] Fifthly, embodiments of this disclosure provide a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the method described in the first aspect above.

[0010] In one or more embodiments of this disclosure, firstly, map data, planning reference information related to cultural relic protection, and land planning information related to reserve land are acquired; then, based on the map data, planning reference information, and land planning information, spatially related plots of land for cultural relic protection and reserve land are identified in the map data; next, the conflict between reserve land and cultural relic protection in the spatially related plots is evaluated according to evaluation dimensions to obtain conflict evaluation information for the spatially related plots; the evaluation dimensions include spatial dimension, functional dimension, visual dimension, and environmental dimension; finally, a conflict resolution strategy for the spatially related plots is generated based on the conflict evaluation information. It can be seen that, through this embodiment, on the one hand, planning reference information and land planning information can be used to perform preliminary screening in map data to obtain spatially related plots that are simultaneously related to cultural relic protection and reserve land, thereby narrowing the scope of evaluation objects in subsequent evaluation steps and reducing the amount of data to be processed; on the other hand, evaluating the conflict between reserve land and cultural relic protection in the spatially related plots in spatial, functional, visual, and environmental dimensions helps to quantify the severity of the conflict, clarify the type of conflict, and provide richer evidence for differentiated handling. Furthermore, generating corresponding conflict resolution strategies based on conflict evaluation information improves the accuracy of conflict resolution. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in one or more embodiments of this disclosure, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments recorded in this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A schematic flowchart illustrating a conflict resolution method provided in one embodiment of this disclosure; Figure 2 A schematic flowchart illustrating another conflict resolution method provided in an embodiment of this disclosure; Figure 3 This is a schematic diagram of the structure of a conflict resolution device provided in an embodiment of the present disclosure; Figure 4 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present disclosure. Detailed Implementation

[0013] To enable those skilled in the art to better understand the technical solutions in one or more embodiments of this disclosure, the technical solutions in one or more embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of the embodiments. Based on one or more embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of this document.

[0014] This disclosure provides a conflict resolution method and apparatus that can improve the accuracy of conflict resolution. The conflict resolution method can be applied to and implemented by a terminal device, which includes, but is not limited to, various types of user terminals such as laptops, tablets, desktop computers, set-top boxes, mobile devices (e.g., mobile phones, portable music players, personal digital assistants, dedicated messaging devices, portable gaming devices), smartphones, smart speakers, smartwatches, smart TVs, and in-vehicle terminals.

[0015] Figure 1 This is a schematic flowchart illustrating a conflict resolution method according to an embodiment of this disclosure. Figure 1 As shown, the process includes: Step S102: Obtain map data, planning reference information related to cultural relic protection, and land planning information related to reserve land.

[0016] Step S104: Based on map data, planning reference information, and land planning information, determine the spatially related plots of land for cultural relic protection and land reserve in the map data.

[0017] Step S106: Evaluate the conflict between reserve land and cultural relic protection in spatially related plots according to the evaluation dimensions to obtain conflict evaluation information of spatially related plots; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension.

[0018] Step S108: Generate conflict resolution strategies for spatially related land parcels based on conflict assessment information.

[0019] In this embodiment, firstly, map data, planning reference information related to cultural relic protection, and land planning information related to reserve land are acquired. Then, based on the map data, planning reference information, and land planning information, spatially related plots of land for cultural relic protection and reserve land are identified in the map data. Next, the conflict between reserve land and cultural relic protection within these spatially related plots is evaluated according to evaluation dimensions, resulting in conflict evaluation information for the spatially related plots. Evaluation dimensions include spatial, functional, visual, and environmental dimensions. Finally, conflict resolution strategies for the spatially related plots are generated based on the conflict evaluation information. As can be seen, this embodiment, on the one hand, allows for preliminary screening of map data using planning reference information and land planning information to identify spatially related plots that are simultaneously related to cultural relic protection and reserve land, thereby narrowing the scope of evaluation objects in subsequent evaluation steps and reducing the amount of data to be processed. On the other hand, evaluating the conflict between reserve land and cultural relic protection within spatially related plots across spatial, functional, visual, and environmental dimensions helps quantify the severity of the conflict, clarify the type of conflict, and provide richer evidence for differentiated handling. Furthermore, generating corresponding conflict resolution strategies based on the conflict evaluation information improves the accuracy of conflict resolution.

[0020] In step S102 above, map data, planning reference information related to cultural relic protection, and land planning information related to land reserves are obtained. The map data can come from a digital map that matches the actual terrain, and this digital map may include annotations of cultural relic data.

[0021] In this embodiment, cultural relics can be visualized on a digital map, supporting intuitive viewing. Exemplarily, cultural relics include, but are not limited to: ancient buildings, outdoor ancient sculptures, ancient ruins, inscriptions and cliff carvings, ancient bridges, grottoes, historical districts, etc. In practical applications, the conflict resolution method provided in this embodiment can be implemented for any cultural relic that can be visualized on a digital map.

[0022] Cultural relic protection is a comprehensive undertaking involving the rescue, restoration, management, and transmission of historical tangible cultural heritage. Its core objective is to protect the authenticity, integrity, and sustainability of cultural relics. Planning reference information related to cultural relic protection includes, but is not limited to: buffer zone data, information on the value and protection level of cultural relics, etc.

[0023] The buffer data mentioned above is the data related to the buffer. The following is an introduction to the buffer: Based on the distribution of the cultural relics and their remains, the starting point and scope of the buffer zone analysis are determined. Multiple buffer zones are created according to the specific requirements of cultural relic protection zoning, including the protected area of ​​the cultural relic and the construction control zone. Through buffer zone analysis, the protected area surrounding the cultural relic can be determined, ensuring the safety and integrity of the cultural relic.

[0024] The aforementioned cultural relic protection scope refers to the core protection area defined around the cultural relic itself. Construction activities that damage the cultural relic or affect its safety are generally not permitted. Only necessary cultural relic protection and repair projects are allowed, such as the area within the walls of ancient buildings, the actual distribution range of ancient ruins, the caves of grotto temples and their immediate surrounding areas, etc.

[0025] The aforementioned construction control zone is a transitional control area designated outside the protection scope, connecting the core protection area with the surrounding urban and rural development. Construction projects that damage the appearance of cultural relics are generally not allowed. New and renovated buildings must comply with restrictions on height, style, and plot ratio. Cultural relic impact assessments must be conducted before construction begins. For example, areas within 100-500 meters of ancient buildings, the planning control zone surrounding ancient villages, and the surrounding extension area of ​​the mountain where the inscription is located, etc.

[0026] Reserved land refers to land acquired in accordance with the law and stored in advance for future supply in order to regulate the land market and promote the rational use of land resources. Land planning information related to reserve land includes, but is not limited to, planned land use information and environmental parameters.

[0027] The aforementioned planned land use information includes, but is not limited to: the boundary location, land use nature, planning indicators, and control requirements of the reserve land parcels. The boundary location can be marked using latitude and longitude or Cartesian coordinates to indicate the turning points of the parcels, forming closed boundaries. Alternatively, it can specify adjacent landmarks in the four directions (east, south, west, and north). The land use nature clearly defines the planned purpose of the land parcels, such as residential land, commercial land, industrial land, green space, or land related to cultural relic protection. Planning indicators include, but are not limited to: plot ratio, building density, green space ratio, building height restrictions, and land area. Control requirements include, but are not limited to: building setback distance from the red line, entrance / exit location, parking allocation standards, and ecological protection requirements.

[0028] The environmental parameters mentioned above include, but are not limited to: plot slope, altitude, average annual temperature, annual precipitation, soil type, groundwater level, etc.

[0029] The parameters listed above related to planned land use information / environmental parameters are examples given to facilitate understanding of the conflict resolution method provided in this embodiment, and are not limited to the parameters listed above in actual applications.

[0030] In one embodiment, before acquiring map data, the method further includes: acquiring multiple types of map material data; evaluating the data quality of the map material data to obtain a first evaluation score; evaluating the reliability of the map material data to obtain a second evaluation score; evaluating the consistency of the map material data to obtain a third evaluation score; determining the weight of the map material data based on the first evaluation score, the second average score, and the third evaluation score; fusing the multiple types of map material data according to the weight of each type of map material data to obtain comprehensive data; and generating map data based on the comprehensive data.

[0031] In this embodiment, map material data includes, but is not limited to, various types of data and information related to map production, such as spatial data, text data, image data, and 3D scan data.

[0032] In a specific example, various map data materials include: spatial data of cultural heritage, remote sensing imagery data, data on the cultural relics themselves, and historical archive data. Specifically, the spatial data of cultural heritage provides precise spatial location information and includes vector data of the protected areas and construction control zones, boundaries of reserve plots, road networks, and building outlines, etc.; the remote sensing imagery data covers the cultural relics and their surrounding environment and includes high-resolution satellite, aerial, and drone imagery, etc.; the data on the cultural relics themselves includes attribute information such as location, shape, size, material, and age, as well as multimedia materials such as 3D scans and photographs; and the historical archive data includes historical maps, planning drawings, and related documents, etc.

[0033] Considering that various map data may have different data representation formats, they can be regarded as multimodal data. For example, text data corresponds to the text modality, image data corresponds to the visual modality, 3D scan data corresponds to both the visual and spatial modalities, spatial data corresponds to the spatial modality, and so on.

[0034] In this embodiment, multiple map asset data can be processed uniformly based on MHDFF (Multi-source Heterogeneous Data Fusion Framework). These multiple map asset data may have different data formats, modalities, and coordinate systems. MHDFF can be used to fuse multiple map asset data. The following example illustrates the specific implementation of data fusion using one modality for each type of map asset data: The formula for calculating modal weights is: W_m = f_{CHDQAN}(Q_m, R_m, C_m) (1) Formula (1) above describes how to calculate the weights of map material data of different modalities in the fusion process.

[0035] Where W_m is the weight of the m-th modality (hereinafter referred to as modality m), which determines the importance of the map data of modality m in the fusion process. m can be an integer greater than 0. Q_m is the data quality score, which evaluates the data quality of the map data of modality m. R_m is the data reliability score, which evaluates the data reliability of modality m. C_m is the consistency score with other modalities, which evaluates the degree of consistency between modality m and other modalities. f_{CHDQAN} refers to CHDQAN (Cultural and Historical Artifacts Database Quality Assurance Network), a neural network function that can be used to combine the three scores into the final weight.

[0036] Referring to the above formula (1), for any type of map material data, the following steps can be performed to obtain the weight of that type of map material data: evaluate the data quality of the map material data to obtain the first evaluation score of the map material data, that is, the aforementioned data quality score Q_m; evaluate the reliability of the map material data to obtain the second evaluation score of the map material data, that is, the aforementioned data reliability score R_m; evaluate the consistency of the map material data to obtain the third evaluation score of the map material data, that is, the aforementioned consistency score C_m; determine the weight of the map material data based on the first evaluation score, the second average score and the third evaluation score of the map material data, that is, the weight of the map material data is the aforementioned weight W_m of mode m.

[0037] Specifically, the map data is evaluated for data quality to obtain a first evaluation score, which can be generated based on the resolution and completeness of the map data. The map data is then evaluated for reliability to obtain a second evaluation score, which can be generated based on the credibility of the data source and the collection method. Finally, the map data is evaluated for consistency to obtain a third evaluation score, which can be generated based on the content similarity between the map data and other map data.

[0038] The evaluation methods listed above are merely examples to facilitate understanding of the conflict handling method provided in this embodiment. In practical applications, specific evaluation methods for data quality evaluation, reliability evaluation, and consistency evaluation can be flexibly set according to specific scenarios.

[0039] Based on the weight of each type of map data, multiple map data are fused to obtain comprehensive data.

[0040] In a specific example, the aggregated data may include: (1) Multimodal fusion spatial database: It contains precise vector data of the boundaries of reserve plots, cultural relic protection units, and construction control zones; it integrates high-resolution satellite imagery, UAV imagery, and 3D point cloud data, and supports multi-scale, multimodal spatial query and analysis. The database adopts the standard GIS (Geographic Information System) data format and supports spatial indexing and multi-version management, which facilitates subsequent updates and maintenance.

[0041] (2) Data quality assessment report: Generate a detailed quality indicator document, including the data quality score, reliability score, consistency score and weight distribution of map material data for each modality, so that staff can understand the quality status of the data source and the contribution of fusion.

[0042] (3) Data fusion log and anomaly record: Automatically record the processing of each data source, fusion parameters and abnormal data items, and support subsequent data quality traceability.

[0043] (4) Preprocessed data products: For different scenarios, output cleaned, corrected and registered single-modal data copies to facilitate special analysis and verification.

[0044] Map data is generated based on integrated data, which means using various map material data after data fusion to generate map data.

[0045] As can be seen, this embodiment can automatically evaluate the data quality, reliability, and consistency of different types of map material data, dynamically adjust the weight of various map material data in the fusion process, enable the system to prioritize high-quality and high-reliability data sources, while taking into account the consistency between data, and improve the accuracy of the fusion results.

[0046] On the one hand, the systematic collection and fusion of multi-source heterogeneous data solves the problems of diverse data sources, inconsistent formats, and varying quality. On the other hand, the use of deep learning algorithms to achieve objective and dynamic quality assessment and weight allocation improves the accuracy and completeness of data fusion. Furthermore, by having high-quality data lead the fusion process, the impact of single low-quality data on the overall analysis effect can be avoided, establishing a solid and reliable spatial information foundation for subsequent conflict identification, which is conducive to improving the efficiency and accuracy of land conflict handling related to cultural relic protection. Finally, the fusion mechanism can effectively reduce human intervention and subjective bias, which is conducive to achieving intelligent and standardized data collection.

[0047] In one embodiment, map data is generated as follows: acquiring cultural relic material data, a first map at the current time point, and a second map at a historical time point; performing semantic segmentation based on the cultural relic material data, the first map, and the second map to obtain semantic segmentation results; and inputting the semantic segmentation results into a graph convolutional network for inference to obtain map data.

[0048] In this embodiment, cultural relic material data can provide a reference for generating cultural relic data annotations in map data. In one example, cultural relic material data includes, but is not limited to, the spatial coordinates, name, age, and protection level of the cultural relic. In another example, cultural relic material data can include data related to the cultural relic from the aforementioned integrated data, such as cultural relic data from the fused spatial database.

[0049] The first map at the current point in time can be a modern map of the first region, and the second map at a historical point in time can be a historical map of the first region, which includes cultural relics. There can be one first map and one or more second maps.

[0050] In one example, acquiring cultural relic material data, the first map at the current time point, and the second map at a historical time point could involve acquiring cultural relic data from a merged spatial database, a modern map of the first region, a map of the first region in dynasty A, a map of the first region in dynasty B, a map of the first region in dynasty C, and so on.

[0051] In one example, the U-Net++ semantic segmentation architecture can be used to obtain semantic segmentation results by performing semantic segmentation based on cultural relic material data, a first map, and a second map.

[0052] In one example, GCN (Graph Convolutional Network) can be used in the process of inputting semantic segmentation results into a graph convolutional network for inference to obtain map data.

[0053] The U-Net++ semantic segmentation architecture and GCN listed above are example structures provided to facilitate understanding of the map data generation process in this embodiment. In practical applications, other architectures or models with similar functions can also be used.

[0054] Furthermore, before performing semantic segmentation, a pre-designed STIFE (Spatio-temporal Invariant Feature Extractor) can be used to identify and extract relatively stable features across different time periods from the first and second maps, referencing the cultural relic data. These features include the protected area of ​​the cultural relic, the construction control zone and its surrounding topography, and water patterns. Before using STIFE, it can be trained through contrastive learning to make it insensitive to temporal changes.

[0055] The formula for calculating the spacetime invariant feature is as follows: F{inv} = f{STIFE}(F{modern}, F{historical}) (2) Where F{inv} represents the spatiotemporal invariant feature, f{STIFE} represents the spatiotemporal invariant feature extractor, F{modern} represents the feature extracted from the first map, and F{historical} represents the feature extracted from the second map.

[0056] The extracted spatiotemporal invariant features can be used for semantic segmentation and for generating historical evolution knowledge graphs. By extracting spatiotemporal invariant features and using historical evolution knowledge graphs as guidance, high-precision automatic registration between historical and modern maps is achieved, effectively solving the problems of map distortion and spatial deviation caused by time spans, and ensuring the spatiotemporal continuity and accuracy of the data. Furthermore, the automatically generated multi-scale digital maps can provide data support for conflict analysis related to cultural relic protection, supporting multi-level and multi-dimensional planning management and cultural relic protection applications.

[0057] As can be seen, through this embodiment, spatiotemporal knowledge of cultural relics can be obtained from cultural relic material data, the first map and the second map, important feature boundaries can be extracted using semantic segmentation, and a graph convolutional network enhanced with spatiotemporal knowledge of cultural relics can be combined to achieve automatic registration of historical and modern maps, thereby achieving high-precision spatial registration and image segmentation, generating a digital map that matches the actual terrain, and generating cultural relic data annotations in the digital map.

[0058] In step S104 above, spatially related plots of land for cultural relic protection and land reserves are identified in the map data based on map data, planning reference information, and land planning information. In this embodiment, the spatially related plots are spatially related to cultural relic protection and land reserves. There may be land conflicts between the spatially related plots and the land reserves, or there may be no land conflicts; further analysis is needed in subsequent steps.

[0059] In one embodiment, determining spatially related plots of cultural relic protection and reserve land in map data based on map data, planning reference information, and land planning information includes: determining cultural relic protection areas in map data based on map data and planning reference information; determining reserve land areas in map data based on map data and land planning information; performing spatial overlay analysis on the cultural relic protection areas and reserve land areas, and determining spatially related plots based on the analysis results; the spatially related plots simultaneously belong to both cultural relic protection areas and reserve land areas, or the spatially related plots belong to cultural relic protection areas and are adjacent to reserve land areas, or the spatially related plots belong to reserve land areas and are adjacent to cultural relic protection areas.

[0060] Based on map data and planning reference information related to cultural relic protection, cultural relic protection areas are determined in the map data. These areas may include protected areas and construction control zones, as detailed in the aforementioned description of buffer zones.

[0061] Based on map data and land planning information related to the reserve land, the reserve land areas are determined in the map data.

[0062] In the process of conducting spatial overlay analysis on cultural relic protection areas and reserve land areas, and determining spatially related plots based on the analysis results, a spatial overlay rule engine can be used.

[0063] In one example, a spatially associated land parcel simultaneously belongs to both a cultural heritage protection area and a land reserve area. If a spatially associated land parcel simultaneously belongs to both a cultural heritage protection area and a land reserve area, it can be labeled as Type 1. If a spatially associated land parcel simultaneously belongs to both a construction control zone and a land reserve area, it can be labeled as Type 2.

[0064] In one example, a spatially associated plot of land is located within a cultural heritage protection area and is adjacent to a land reserve area. If a spatially associated plot of land is located within a cultural heritage protection area and is adjacent to a land reserve area, it can be labeled as type 3. If a spatially associated plot of land is located within a construction control zone and is adjacent to a land reserve area, it can be labeled as type 4.

[0065] In one example, a spatially associated land parcel belongs to a land reserve area and is adjacent to a cultural heritage protection area. If a spatially associated land parcel belongs to a land reserve area and is adjacent to a cultural heritage protection area, it can be marked as type 5. If a spatially associated land parcel belongs to a land reserve area and is adjacent to a construction control zone, it can be marked as type 6.

[0066] For different types of spatially associated land parcels, risk level information corresponding to the type can be set. This risk level information can be used as reference information for generating conflict assessment information in subsequent steps.

[0067] As can be seen, this embodiment can screen out land parcels that have spatial overlap or proximity, effectively narrowing the spatial scope of subsequent in-depth calculations, reducing the consumption of computing and storage resources, and providing a key target set for multidimensional conflict assessment.

[0068] In step S106 above, the conflict between reserve land and cultural relic protection in spatially associated plots is evaluated according to evaluation dimensions to obtain conflict evaluation information for the spatially associated plots. These evaluation dimensions include spatial, functional, visual, and environmental dimensions. There can be one or more spatially associated plots. When there are multiple spatially associated plots, the processing method for each plot is the same. The following explanation primarily uses one spatially associated plot as an example to illustrate the processing method.

[0069] In some embodiments, depending on the specific scenario, one or more of the above-mentioned spatial, functional, visual, and environmental dimensions may be selected to evaluate the conflict between reserve land and cultural relic protection in spatially associated plots.

[0070] In one example, this step can be performed using MCAF (Multidimensional Conflict Assessment Framework). For instance, spatially processed plot S1 is input into MCAF, and MCAF evaluates the conflict between reserve land and cultural heritage protection in spatially associated plot S1 to obtain conflict assessment information for spatially associated plot S1.

[0071] In one embodiment, conflict assessment information includes a comprehensive assessment score; the conflict assessment of the spatially associated land parcels is obtained by evaluating the conflict between reserve land and cultural relic protection according to assessment dimensions, including: evaluating the conflict between reserve land and cultural relic protection in the spatially associated land parcels according to each assessment dimension to obtain the basic assessment score of the spatially associated land parcels in each assessment dimension; determining the interaction impact score between any two assessment dimensions of the spatially associated land parcels based on the basic assessment scores of the spatially associated land parcels in each assessment dimension; and determining the comprehensive assessment score of the spatially associated land parcels based on the basic assessment scores and the interaction impact scores.

[0072] In this embodiment, CCHCAM (Cultural Heritage Protection Hierarchical Conflict Assessment Model) can be used to evaluate the conflict between reserve land and cultural heritage protection in spatially related plots according to the evaluation dimensions and obtain conflict evaluation information of spatially related plots.

[0073] In one example, after the digital map is created, the system performs pre-screening through a rules engine and deploys an automated rule chain based on cultural relic protection rules. It then utilizes an AI analysis module for intelligent conflict identification, optimizes the conflict identification algorithm, and automatically classifies and assesses the type and severity of conflicts. This intelligent analysis capability effectively solves the problems of inefficiency and omissions in traditional manual comparison, providing timely and reliable support for subsequent decision-making.

[0074] In one example, this embodiment can use the following evaluation formula: C{total} =\sum{i} w_i \cdot C_i + \sum{i,j} w{ij} \cdot C_i \cdot C_j(3) Wherein, C{total} is the comprehensive evaluation score of spatially associated land parcels, which is used to quantify the conflict between land reserves and cultural relic protection within spatially associated land parcels. \sum{i} is the summation of all evaluation dimensions, where i is the index variable for the summation. w_i is the weight of the i-th evaluation dimension, representing the importance of the corresponding evaluation dimension in the comprehensive assessment. \cdot is the multiplication operation. C_i is the base evaluation score of the i-th evaluation dimension. \sum{i,j} is the summation of all evaluation dimensions, where i and j are the index variables for the summation. w{ij} captures the interaction between conflicts across different dimensions, representing the weight of the interaction between the i-th and j-th evaluation dimensions, i.e., the weight corresponding to the interaction score of the spatially associated land parcel between the i-th and j-th evaluation dimensions. (C_i cdot C_j) is the product of the base evaluation scores of the i-th and j-th evaluation dimensions, representing the interaction between the two evaluation dimensions, i.e., the interaction score of the spatially associated land parcel between the i-th and j-th evaluation dimensions. In the above, i is one of 1, 2, 3, and 4, and j is one of 1, 2, 3, and 4. i and j are different.

[0075] In one example, the first evaluation dimension could be the spatial dimension C_space. The basic evaluation score of this spatial dimension C_space can quantify the degree of spatial overlap between the cultural relic protection area and the reserve land area. For example, Area(Overlap) can represent the area of ​​the overlapping part, and Area(Union) can represent the area of ​​the combined area, reflecting the degree of direct conflict between the cultural relic protection area and the reserve land area in geographical space. The closer the value is to 1, the greater the overlap, and the greater the risk of direct construction encroachment; a value of 0 indicates no spatial overlap and an extremely low probability of conflict. In one example, the second evaluation dimension could be the functional dimension C_func, whose base evaluation score can quantify the severity of functional compatibility conflicts. For example, there might be a functional compatibility conflict between the planned use of a land reserve area and the requirements for cultural relic protection, such as impacts from noise, pollution, and traffic.

[0076] In one example, the third evaluation dimension could be the visual dimension C_view. The base evaluation score for this visual dimension C_view can quantify the potential impact of development on the visual corridors of heritage sites, such as obstructing views of important landscape features.

[0077] In one example, the fourth evaluation dimension could be the environmental dimension C_env. The base evaluation score for this environmental dimension C_env can be determined by various environmental conflict indicators. Here, E=[e1,e2,...,en] represents a vector of various environmental conflict indicators, including physical environmental parameters such as vibration intensity, noise level, air pollution index, and soil erosion. Wenv=[w1,w2,...,wn] represents the weights of the corresponding environmental conflict indicators, reflecting the relative importance of each environmental factor to cultural relic protection. A comprehensive evaluation of the potential damage risks of environmental factors to cultural relics should focus on indirect spatial conflicts caused by changes in environmental quality.

[0078] Referring to the above formula (3), for any spatially associated land parcel, the following steps can be performed to obtain the comprehensive evaluation score of the spatially associated land parcel: evaluate the conflict between the reserve land and cultural relic protection in the spatially associated land parcel according to each evaluation dimension, and obtain the basic evaluation score of the spatially associated land parcel in each evaluation dimension, i.e., the aforementioned C_i; determine the interaction influence score between any two evaluation dimensions of the spatially associated land parcel based on the basic evaluation score of the spatially associated land parcel in each evaluation dimension, i.e., the aforementioned (C_i cdot C_j); determine the comprehensive evaluation score of the spatially associated land parcel based on the basic evaluation score and the interaction influence score, i.e., the aforementioned C{total}.

[0079] As can be seen, this embodiment utilizes the interaction score between any two evaluation dimensions to capture the interactive effects between conflicts across different evaluation dimensions. Furthermore, by incorporating factors such as functional compatibility, line-of-sight protection, and environmental impact, a more comprehensive conflict risk profile is constructed, improving the scientific rigor and accuracy of conflict identification. This is particularly effective when cultural relic protection areas and reserve land areas do not overlap, allowing for more precise identification of potential land conflicts.

[0080] In step S108 above, a conflict resolution strategy for spatially related land parcels is generated based on the conflict assessment information. The conflict assessment information can be considered as the land conflict identification result for spatially related land parcels. In one example, for any spatially related land parcel, the conflict assessment information may include: a comprehensive evaluation score, basic evaluation scores for each evaluation dimension, the interaction score between any two evaluation dimensions, the land conflict type, etc. The land conflict type can be determined based on the basic evaluation scores for each evaluation dimension. For example, for spatially related land parcel S3, if the basic evaluation score for the functional dimension has the highest weighted value among the evaluation dimensions, and this basic evaluation score is greater than a preset score threshold, then the land conflict type of spatially related land parcel S3 can be determined to be a functional conflict.

[0081] Conflict resolution strategies can be used to address land conflicts related to spatially associated parcels.

[0082] In one example, a report on conflict resolution strategies may include the following: (1) Conflict Overview: Provide an overview of the basic situation of the reserve land area and cultural relics, and provide background information.

[0083] (2) Conflict analysis: Describe the identified conflicts in detail, including conflict type, location, area, severity, etc., and provide a visual display.

[0084] (3) Treatment strategies: Propose a variety of feasible treatment strategies, including planning adjustment, protection measures, construction control, etc., and analyze the advantages and disadvantages of each strategy.

[0085] (4) Benefit assessment: Conduct multi-dimensional assessments of each treatment strategy, including protection benefits, economic benefits, and social benefits, and provide quantitative assessment results.

[0086] (5) Recommended solutions: Based on the comprehensive evaluation results, the optimal treatment solution is recommended and detailed implementation suggestions are provided.

[0087] In addition, the above reports can support multiple report output formats, making it convenient for users to view, archive, and share them.

[0088] In one embodiment, generating a conflict resolution strategy for spatially associated land parcels based on conflict assessment information includes: matching the spatially associated land parcels with each historically conflicting land parcel in historical data based on the conflict assessment information to obtain a matching result; determining a first resolution strategy and a first weight of the first resolution strategy based on the matching result; obtaining conflict resolution rules and generating a second resolution strategy for the spatially associated land parcels based on the conflict resolution rules and conflict assessment information; and generating a conflict resolution strategy for the spatially associated land parcels based on the first resolution strategy, the second resolution strategy, and the first weight.

[0089] Historical data may include multiple historical conflict parcels, and the conflict resolution strategies for each historical conflict parcel, all of which have been adopted and successfully implemented. The aforementioned historical conflict parcels refer to parcels where land conflicts have occurred in the past.

[0090] The matching results between spatially related land parcels and historically conflicted land parcels include, but are not limited to: a complete match, a partial match, and no match. A complete match means the similarity between the two parcels is greater than a first similarity threshold. A partial match means the similarity is less than or equal to the first similarity threshold but greater than a second similarity threshold. No match means the similarity is less than or equal to the second similarity threshold.

[0091] It is important to emphasize that the similarity between the spatially related land parcels and the historically conflicted land parcels mentioned above refers to the similarity between the land conflicts that have occurred in the spatially related land parcels and the land conflicts that have occurred in the historically conflicted land parcels. The higher the similarity of the land conflicts, the greater the reference value of the conflict resolution strategies that have achieved successful results in the historically conflicted land parcels.

[0092] Based on the matching results, a primary handling strategy is determined. Specifically, if the matching result shows a complete match between spatially related land parcels and historically conflicting land parcels, the conflict handling strategy for the historically conflicting land parcels can be determined as the primary handling strategy. If the matching result shows a partial match between spatially related land parcels and historically conflicting land parcels, the conflict handling strategy for the historically conflicting land parcel with the highest similarity to the spatially related land parcels can be determined as the primary handling strategy. The alternative handling strategy can be a relatively conservative conflict handling strategy designed by staff for land conflicts where they lack experience in handling such situations.

[0093] Matching results can include the similarity between spatially related land parcels and historically conflicting land parcels. Based on this similarity, a first weight can be determined. Higher similarity results in a higher first weight, and lower similarity results in a lower first weight.

[0094] The system acquires conflict resolution rules and, based on these rules and conflict assessment information, generates a second resolution strategy for spatially related land parcels. Conflict resolution rules can be generated based on various cultural relic protection regulations, urban planning regulations, and conflict resolution case studies. For example, the conflict resolution rules may include rule R1: if the weighted average of the basic evaluation scores for the functional dimensions in the conflict assessment information exceeds a score threshold A1, conflict resolution strategy 1 is adopted; if the weighted average of the basic evaluation scores for each evaluation dimension in the conflict assessment information exceeds a score threshold A2, conflict resolution strategy 2 is adopted, and so on.

[0095] Based on the first processing strategy, the second processing strategy, and the first weight, a conflict resolution strategy for spatially related land parcels is generated. This can be achieved by determining the second weight of the second processing strategy based on the first weight, and then weighting and fusing the first and second processing strategies based on the first and second weights to obtain the conflict resolution strategy for spatially related land parcels.

[0096] In one example, after obtaining conflict assessment information through conflict identification, the system combines historical case analysis with expert knowledge to provide customized conflict resolution strategies. A smart risk warning module automatically identifies and assesses potential risks. Addressing the limitations of traditional hybrid expert systems in fully utilizing professional knowledge when generating conflict resolution strategies, a cultural heritage protection knowledge graph is constructed. This knowledge graph encodes knowledge such as cultural heritage protection regulations, protection techniques, and historical cases. For example, the knowledge graph structure is: G = (V{concepts}, E{relations}, A{attributes}), containing over 100,000 concept nodes and 500,000 relation edges. Based on this cultural heritage protection knowledge graph, a hybrid reasoning mechanism combining case-based reasoning and rule-based reasoning can be adopted. Case-based reasoning, based on successful historical cases, finds applicable conflict resolution strategies through similarity calculations; rule-based reasoning, based on various cultural heritage protection regulations and urban planning regulations, derives compliant conflict resolution strategies through rule chains.

[0097] The formula for mixed reasoning is: S{hybrid} = \alpha \cdot S{case} + (1-\alpha) \cdot S_{rule} (4) Where S{hybrid} is the hybrid reasoning result, which can be regarded as the basis for generating the final conflict resolution strategy. S{case} is the case reasoning result, generated based on historical successful cases. S{rule} is the rule reasoning result, generated based on various cultural relic protection regulations and urban planning regulations. \alpha is the hybrid coefficient, i.e., the aforementioned first weight, which controls the relative importance of case reasoning and rule reasoning. (1-\alpha) is the aforementioned second weight. \cdot is the multiplication operation.

[0098] As can be seen, this embodiment enables the system to flexibly combine historical experience and relevant regulations to generate conflict resolution strategies that are both practically grounded and compliant with relevant regulations. When highly similar historical success cases exist, the system will rely more on case-based reasoning; when facing new conflict situations, the system will rely more on rule-based reasoning.

[0099] In one embodiment, the matching result includes the similarity between spatially associated land parcels and historically conflicted land parcels; based on the matching result, a first processing strategy and a first weight of the first processing strategy are determined, including: if the similarity between a spatially associated land parcel and at least one historically conflicted land parcel is greater than a similarity threshold, then the historical conflict processing strategy of at least one historically conflicted land parcel is determined as the first processing strategy, and a first weight is generated based on the similarity; if the similarity between a spatially associated land parcel and each historically conflicted land parcel is less than or equal to the similarity threshold, then the historical conflict processing strategy of the historically conflicted land parcel with the highest similarity to the spatially associated land parcel is determined as the first processing strategy, and the first weight is set to a preset value.

[0100] Conflict assessment information for spatially related land parcels includes one or more of the following: comprehensive assessment score, basic assessment scores for each assessment dimension, weights of each assessment dimension, interaction scores between any two assessment dimensions, land conflict type, etc. The similarity between spatially related land parcels and historically conflicted land parcels can be determined based on their conflict assessment information.

[0101] For example, the basic evaluation scores of spatially related land parcel 1 in each evaluation dimension are s1, s2, s3, and s4, respectively. The basic evaluation scores of historically conflicted land parcel 2 in each evaluation dimension are s1', s2', s3', and s4', respectively. The similarity scores x1 between s1 and s1', x2 between s2 and s2', x3 between s3 and s3', and x4 between s4 and s4' are calculated respectively. Based on x1, x2, x3, and x4, the similarity between the spatially related land parcel and the historically conflicted land parcel is determined.

[0102] If the similarity between a spatially associated land parcel and at least one historically conflicted land parcel is greater than a similarity threshold, then the historical conflict resolution strategy for at least one historically conflicted land parcel is determined as a first resolution strategy, and a first weight is generated based on the similarity. For example, if the similarity x1 between spatially associated land parcel 1 and historically conflicted land parcel 2 is greater than a similarity threshold X, and the similarity x2 between spatially associated land parcel 1 and historically conflicted land parcel 3 is greater than a similarity threshold X, then the historical conflict resolution strategy for historically conflicted land parcel 2 is determined as one first resolution strategy, and the historical conflict resolution strategy for historically conflicted land parcel 3 is determined as another first resolution strategy. The average value of x1 and x2 is calculated, and this average value is determined as the first weight.

[0103] If the similarity between spatially associated land parcels and all historically conflicted land parcels is less than or equal to a similarity threshold, then the historical conflict handling strategy for the historically conflicted land parcel with the highest similarity to the spatially associated land parcel is determined as the first handling strategy, and the first weight is set to a preset value. For example, if the similarity x1 between spatially associated land parcel 1 and historically conflicted land parcel 4 is less than the similarity threshold X, and this similarity x1 is the largest among all similarity values, then the historical conflict handling strategy for historically conflicted land parcel 4 is determined as a first handling strategy. The first weight is set to a preset value of 0.1.

[0104] As can be seen, this embodiment allows for the full utilization of successful historical experience in the process of generating conflict resolution strategies.

[0105] Furthermore, after the conflict resolution strategy report is generated, the system can construct a complete closed-loop conflict handling mechanism to ensure effective conflict resolution. By establishing a dynamic tracking and feedback mechanism, the system can monitor the processing progress in real time and continuously optimize the processing flow based on historical data. This comprehensive closed-loop system not only improves work efficiency but also ensures the effectiveness of various measures, providing strong support for the coordinated development of cultural relic protection and urban planning.

[0106] In one example, for a system implementing the conflict resolution method provided in this embodiment, the system's business processes and feedback mechanisms may include: (1) Conflict handling process: including conflict identification, solution formulation, multi-department consultation, solution implementation and effect evaluation, forming a complete closed loop.

[0107] (2) Multi-departmental collaboration mechanism: Establish a multi-departmental collaboration mechanism to ensure the scientific nature and feasibility of decision-making.

[0108] (3) Implement a supervision mechanism: supervise the implementation process of the conflict resolution method provided in this embodiment to ensure that the plan is executed as scheduled and to promptly identify and resolve problems.

[0109] (4) Effectiveness evaluation mechanism: The results of conflict resolution are evaluated in multiple dimensions, including protection effectiveness, planning implementation, social impact, etc., and an evaluation report is generated.

[0110] (5) Experience feedback mechanism: Feedback of processing experience and evaluation results to the system to continuously optimize the algorithm model and processing flow and improve system performance.

[0111] In summary, through the embodiments of this disclosure, on the one hand, planning reference information and land planning information can be used to perform preliminary screening in map data to obtain spatially related plots that are simultaneously related to cultural relic protection and reserve land, thereby narrowing the scope of evaluation objects in subsequent evaluation steps and reducing the amount of data to be processed. On the other hand, evaluating the conflict between reserve land and cultural relic protection in spatially related plots in spatial, functional, visual, and environmental dimensions helps to quantify the severity of the conflict, clarify the type of conflict, and provide richer evidence for differentiated handling. Furthermore, generating corresponding conflict handling strategies based on conflict evaluation information improves the accuracy of conflict handling.

[0112] Based on the same technical concept, this disclosure also provides another conflict resolution method. Figure 2 This is a flowchart illustrating another conflict resolution method provided in an embodiment of the present disclosure.

[0113] Step S202: Intelligent collection of cultural relic spatial data.

[0114] For example, cultural relic spatial data can come from sensors, APIs (Application Programming Interfaces), CSV / Excel files, geographic information databases, and so on. CSV, mentioned above, is a simple text file format used to store tabular data.

[0115] Among them, remote sensing data can be acquired through sensors, vector data and raster data can be acquired through API interfaces, spatial data stored in tabular form can be obtained through CSV / Excel files, and data such as land parcel boundaries and road networks can be obtained through geographic information databases.

[0116] Step S204: Automatically create a digital map.

[0117] Steps S202-S204 can be referred to the corresponding description of step S102 above.

[0118] Step S206: Intelligent analysis identifies conflicts.

[0119] In one example, the system may include a report generation module, a solution optimization module, a risk warning module, and a conflict assessment module. The conflict assessment module may include a machine learning model for performing conflict identification.

[0120] This step can be referred to the corresponding descriptions of steps S104-S106 above.

[0121] Step S208: Automatically generate a conflict resolution strategy report.

[0122] This step can be referred to the corresponding description of step S108 above.

[0123] Step S210: Close the loop to handle conflicting business.

[0124] Since the technical concept is the same, the description in this embodiment is relatively simple. For the relevant parts, please refer to the corresponding descriptions of the method embodiments provided above.

[0125] Figure 3 This is a schematic diagram of the structure of a conflict resolution device provided in an embodiment of the present disclosure, as shown below. Figure 3 As shown, the device includes: The data acquisition module 301 is used to acquire map data, planning reference information related to cultural relic protection, and land planning information related to reserve land; The land parcel determination module 302 is used to determine the spatially related land parcels of the cultural relic protection and the reserve land in the map data based on the map data, the planning reference information and the land planning information; The land parcel evaluation module 303 is used to evaluate the conflict between the reserve land and the cultural relic protection in the spatially associated land parcels according to the evaluation dimensions, and obtain the conflict evaluation information of the spatially associated land parcels; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; The strategy generation module 304 is used to generate a conflict handling strategy for the spatially associated land parcels based on the conflict evaluation information.

[0126] Optionally, the conflict assessment information includes a comprehensive assessment score; when the land parcel assessment module 303 assesses the conflict between the reserve land and the cultural relic protection in the spatially associated land parcel according to the assessment dimensions to obtain the conflict assessment information of the spatially associated land parcel, it performs the following steps: The conflict between the reserve land and the cultural relic protection in the spatially associated plots is evaluated according to each of the evaluation dimensions, and the basic evaluation scores of the spatially associated plots in each of the evaluation dimensions are obtained. Based on the basic evaluation scores of the spatially associated land parcels in each of the evaluation dimensions, determine the interaction influence score of the spatially associated land parcels between any two of the evaluation dimensions; The comprehensive evaluation score of the spatially associated land parcels is determined based on the basic evaluation score and the interaction impact score.

[0127] Optionally, the conflict handling device further includes: a material evaluation module, a weight determination module, a data fusion module, and a map generation module; The data acquisition module 301 is also used to acquire various map material data; The material evaluation module is used to evaluate the data quality of the map material data to obtain a first evaluation score; to evaluate the reliability of the map material data to obtain a second evaluation score; and to evaluate the consistency of the map material data to obtain a third evaluation score. The weight determination module is used to determine the weight of the map material data based on the first evaluation score, the second average score, and the third evaluation score of the map material data. The data fusion module is used to fuse multiple map material data according to the weight of each type of map material data to obtain comprehensive data; The map generation module is used to generate the map data based on the comprehensive data.

[0128] Optionally, the map data is generated in the following manner: Acquire cultural relic data, a first map at the current time point, and a second map at historical time points; Semantic segmentation is performed based on the cultural relic material data, the first map, and the second map to obtain the semantic segmentation result; The semantic segmentation results are input into a graph convolutional network for inference to obtain the map data.

[0129] Optionally, when generating a conflict resolution strategy for the spatially associated land parcels based on the conflict evaluation information, the strategy generation module 304 performs the following steps: Based on the conflict assessment information, the spatially associated land parcels are matched with each historical conflict land parcel in the historical data to obtain the matching results; Based on the matching results, a first processing strategy and a first weight of the first processing strategy are determined; Obtain conflict resolution rules, and generate a second processing strategy for the spatially associated land parcels based on the conflict resolution rules and the conflict evaluation information; Based on the first processing strategy, the second processing strategy, and the first weight, a conflict resolution strategy for the spatially associated land parcels is generated.

[0130] Optionally, the matching result includes the similarity between the spatially associated land parcel and the historically conflicting land parcel; when the strategy generation module 304 determines the first processing strategy and the first weight of the first processing strategy based on the matching result, it performs the following steps: If the similarity between the spatially associated land parcel and at least one historically conflicting land parcel is greater than a similarity threshold, then the historical conflict handling strategy for the at least one historically conflicting land parcel is determined as the first handling strategy, and the first weight is generated based on the similarity. If the similarity between the spatially associated land parcel and each historical conflict land parcel is less than or equal to the similarity threshold, then the historical conflict handling strategy of the historical conflict land parcel with the highest similarity to the spatially associated land parcel is determined as the first handling strategy, and the first weight is set to a preset value.

[0131] Optionally, when the land parcel determination module 302 determines the spatially related land parcels of the cultural relic protection area and the reserve land in the map data based on the map data, the planning reference information, and the land planning information, it performs the following steps: Based on the map data and the planning reference information, cultural relic protection areas are determined in the map data; Based on the map data and the land planning information, reserve land areas are determined in the map data; Spatial overlay analysis is performed on the cultural relic protection area and the reserve land area, and the spatially associated plots are determined based on the analysis results; the spatially associated plots belong to both the cultural relic protection area and the reserve land area, or the spatially associated plots belong to the cultural relic protection area and are adjacent to the reserve land area, or the spatially associated plots belong to the reserve land area and are adjacent to the cultural relic protection area.

[0132] Through this embodiment, on the one hand, planning reference information and land planning information can be used to perform preliminary screening in map data to obtain spatially related plots that are simultaneously related to cultural relic protection and reserve land, thereby narrowing the scope of evaluation objects in subsequent evaluation steps and reducing the amount of data to be processed. On the other hand, evaluating the conflict between reserve land and cultural relic protection in spatially related plots in spatial, functional, visual, and environmental dimensions helps to quantify the severity of the conflict, clarify the type of conflict, and provide richer evidence for differentiated handling. Furthermore, generating corresponding conflict handling strategies based on conflict evaluation information improves the accuracy of conflict handling.

[0133] The conflict handling apparatus provided in one embodiment of this disclosure can implement the various processes in the foregoing method embodiments and achieve the same functions and effects, which will not be repeated here.

[0134] Furthermore, one embodiment of this disclosure also provides an electronic device, Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure, such as... Figure 4As shown, the device includes: a memory 401, a processor 402, a bus 403, and a communication interface 404. The memory 401, the processor 402, and the communication interface 404 communicate via the bus 403. The communication interface 404 may include input / output interfaces, including but not limited to a keyboard, mouse, monitor, microphone, and loudspeaker.

[0135] Figure 4 In the processor 402, the memory 401 stores computer-executable instructions that can run on the processor 402. When the processor 402 executes the computer-executable instructions, the following process is implemented: Obtain map data, planning reference information related to cultural relic protection, and land planning information related to land reserves; Based on the map data, the planning reference information, and the land planning information, determine the spatially related plots of cultural relic protection and the reserve land in the map data; The conflict between the reserve land and the cultural relic protection in the spatially associated plots is evaluated according to the evaluation dimensions to obtain the conflict evaluation information of the spatially associated plots; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; Based on the conflict assessment information, a conflict resolution strategy is generated for the spatially associated land parcels.

[0136] Through this embodiment, on the one hand, planning reference information and land planning information can be used to perform preliminary screening in map data to obtain spatially related plots that are simultaneously related to cultural relic protection and reserve land, thereby narrowing the scope of evaluation objects in subsequent evaluation steps and reducing the amount of data to be processed. On the other hand, evaluating the conflict between reserve land and cultural relic protection in spatially related plots in spatial, functional, visual, and environmental dimensions helps to quantify the severity of the conflict, clarify the type of conflict, and provide richer evidence for differentiated handling. Furthermore, generating corresponding conflict handling strategies based on conflict evaluation information improves the accuracy of conflict handling.

[0137] An electronic device provided in one embodiment of this disclosure can implement the various processes in the foregoing method embodiments and achieve the same functions and effects, which will not be repeated here.

[0138] Another embodiment of this disclosure also provides a computer-readable storage medium for storing computer-executable instructions that, when executed by a processor, implement the following process: Obtain map data, planning reference information related to cultural relic protection, and land planning information related to land reserves; Based on the map data, the planning reference information, and the land planning information, determine the spatially related plots of cultural relic protection and the reserve land in the map data; The conflict between the reserve land and the cultural relic protection in the spatially associated plots is evaluated according to the evaluation dimensions to obtain the conflict evaluation information of the spatially associated plots; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; Based on the conflict assessment information, a conflict resolution strategy is generated for the spatially associated land parcels.

[0139] Through this embodiment, on the one hand, planning reference information and land planning information can be used to perform preliminary screening in map data to obtain spatially related plots that are simultaneously related to cultural relic protection and reserve land, thereby narrowing the scope of evaluation objects in subsequent evaluation steps and reducing the amount of data to be processed. On the other hand, evaluating the conflict between reserve land and cultural relic protection in spatially related plots in spatial, functional, visual, and environmental dimensions helps to quantify the severity of the conflict, clarify the type of conflict, and provide richer evidence for differentiated handling. Furthermore, generating corresponding conflict handling strategies based on conflict evaluation information improves the accuracy of conflict handling.

[0140] The computer-readable storage medium includes read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc.

[0141] The computer-readable storage medium provided in one embodiment of this disclosure can implement the various processes in the foregoing method embodiments and achieve the same functions and effects, which will not be repeated here.

[0142] Another embodiment of this disclosure also provides a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the following process: Obtain map data, planning reference information related to cultural relic protection, and land planning information related to land reserves; Based on the map data, the planning reference information, and the land planning information, determine the spatially related plots of cultural relic protection and the reserve land in the map data; The conflict between the reserve land and the cultural relic protection in the spatially associated plots is evaluated according to the evaluation dimensions to obtain the conflict evaluation information of the spatially associated plots; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; Based on the conflict assessment information, a conflict resolution strategy is generated for the spatially associated land parcels.

[0143] Through this embodiment, on the one hand, planning reference information and land planning information can be used to perform preliminary screening in map data to obtain spatially related plots that are simultaneously related to cultural relic protection and reserve land, thereby narrowing the scope of evaluation objects in subsequent evaluation steps and reducing the amount of data to be processed. On the other hand, evaluating the conflict between reserve land and cultural relic protection in spatially related plots in spatial, functional, visual, and environmental dimensions helps to quantify the severity of the conflict, clarify the type of conflict, and provide richer evidence for differentiated handling. Furthermore, generating corresponding conflict handling strategies based on conflict evaluation information improves the accuracy of conflict handling.

[0144] The computer program product in this disclosure embodiment can implement the various processes of the above-described conflict resolution method embodiment and achieve the same effects and functions, which will not be repeated here.

[0145] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0146] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0147] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0148] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0149] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0150] Memory may include non-persistent storage in computer-readable storage media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable storage media.

[0151] Computer-readable storage media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer-readable storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable storage media does not include transient media, such as modulated data signals and carrier waves.

[0152] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0153] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0154] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of this application should be included within the scope of the claims of this application.

Claims

1. A conflict resolution method, characterized in that, include: Obtain map data, planning reference information related to cultural relic protection, and land planning information related to land reserves; Based on the map data, the planning reference information, and the land planning information, determine the spatially related plots of cultural relic protection and the reserve land in the map data; The conflict between the reserve land and the cultural relic protection in the spatially associated plots is evaluated according to the evaluation dimensions to obtain the conflict evaluation information of the spatially associated plots; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; Based on the conflict assessment information, a conflict resolution strategy is generated for the spatially associated land parcels.

2. The method according to claim 1, characterized in that, The conflict assessment information includes a comprehensive assessment score; the assessment of the conflict between the reserve land and the cultural relic protection in the spatially associated plots according to the assessment dimensions, to obtain the conflict assessment information of the spatially associated plots, includes: The conflict between the reserve land and the cultural relic protection in the spatially associated plots is evaluated according to each of the evaluation dimensions, and the basic evaluation scores of the spatially associated plots in each of the evaluation dimensions are obtained. Based on the basic evaluation scores of the spatially associated land parcels in each of the evaluation dimensions, determine the interaction influence score of the spatially associated land parcels between any two of the evaluation dimensions; The comprehensive evaluation score of the spatially associated land parcels is determined based on the basic evaluation score and the interaction impact score.

3. The method according to claim 1, characterized in that, Before acquiring map data, the process also includes: Acquire various map data; The map material data is evaluated for data quality to obtain a first evaluation score. The reliability of the map data is evaluated to obtain a second evaluation score for the map data; A consistency evaluation is performed on the map material data to obtain a third evaluation score for the map material data; The weight of the map material data is determined based on the first evaluation score, the second average score, and the third evaluation score of the map material data. Based on the weight of each type of map material data, the various types of map material data are fused to obtain comprehensive data; The map data is generated based on the comprehensive data.

4. The method according to claim 1, characterized in that, The map data is generated in the following manner: Acquire cultural relic data, a first map at the current time point, and a second map at historical time points; Semantic segmentation is performed based on the cultural relic material data, the first map, and the second map to obtain the semantic segmentation result; The semantic segmentation results are input into a graph convolutional network for inference to obtain the map data.

5. The method according to claim 1, characterized in that, The step of generating a conflict resolution strategy for the spatially associated land parcels based on the conflict assessment information includes: Based on the conflict assessment information, the spatially associated land parcels are matched with each historical conflict land parcel in the historical data to obtain the matching results; Based on the matching results, a first processing strategy and a first weight of the first processing strategy are determined; Obtain conflict resolution rules, and generate a second processing strategy for the spatially associated land parcels based on the conflict resolution rules and the conflict evaluation information; Based on the first processing strategy, the second processing strategy, and the first weight, a conflict resolution strategy for the spatially associated land parcels is generated.

6. The method according to claim 5, characterized in that, The matching result includes the similarity between the spatially associated land parcel and the historically conflicting land parcel; determining the first processing strategy and the first weight of the first processing strategy based on the matching result includes: If the similarity between the spatially associated land parcel and at least one historically conflicting land parcel is greater than a similarity threshold, then the historical conflict handling strategy for the at least one historically conflicting land parcel is determined as the first handling strategy, and the first weight is generated based on the similarity. If the similarity between the spatially associated land parcel and each historically conflicted land parcel is less than or equal to the similarity threshold, then the historical conflict handling strategy of the historically conflicted land parcel with the highest similarity to the spatially associated land parcel is determined as the first handling strategy, and the first weight is set to a preset value.

7. The method according to claim 1, characterized in that, The step of determining the spatially related plots of land for cultural relic protection and the reserve land in the map data based on the map data, the planning reference information, and the land planning information includes: Based on the map data and the planning reference information, cultural relic protection areas are determined in the map data; Based on the map data and the land planning information, reserve land areas are determined in the map data; Spatial overlay analysis is performed on the cultural relic protection area and the reserve land area, and the spatially associated plots are determined based on the analysis results; the spatially associated plots belong to both the cultural relic protection area and the reserve land area, or the spatially associated plots belong to the cultural relic protection area and are adjacent to the reserve land area, or the spatially associated plots belong to the reserve land area and are adjacent to the cultural relic protection area.

8. A conflict resolution device, characterized in that, include: The data acquisition module is used to acquire map data, planning reference information related to cultural relic protection, and land planning information related to land reserves; The land parcel determination module is used to determine the spatially related land parcels of the cultural relic protection area and the reserve land in the map data based on the map data, the planning reference information and the land planning information. The land parcel evaluation module is used to evaluate the conflict between the reserve land and the cultural relic protection in the spatially associated land parcels according to the evaluation dimensions, and obtain the conflict evaluation information of the spatially associated land parcels; the evaluation dimensions include spatial dimension, functional dimension, visual dimension and environmental dimension; The strategy generation module is used to generate conflict resolution strategies for the spatially associated land parcels based on the conflict assessment information.

9. An electronic device, characterized in that, The method includes a memory and a processor, wherein the memory stores computer-executable instructions that, when executed on the processor, enable the implementation of the method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions that, when executed by a processor, enable the implementation of the method described in any one of claims 1-7.

11. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.