A land space resilience planning strategy adjustment method and system

Abstract

The present application provides a kind of land space resilience planning strategy adjustment method and system, it is related to planning strategy adjustment technical field, according to the category plot information of preset plot range information acquisition, same difference information extraction is carried out to its feature, obtains same difference plot feature information;Classified plot information is analyzed to the centralized data of multiple kinds of centralized nodes, and the kind hidden danger safety linkage area is obtained according to centralized data analysis information;Safety hidden danger level is determined, and first hidden danger coefficient and second hidden danger coefficient are obtained, then plot hidden danger coefficient is obtained, and regional risk marking information is determined according to plot hidden danger coefficient;Classified plot information is analyzed to the conflict range, constructs geohazard planning rule base and geohazard planning knowledge base, and the planning strategy adjustment of conflict range analysis result is carried out, obtains planning strategy adjustment information, and the present application realizes the accuracy intelligent strategy adjustment of land space resilience planning.

Description

Technical Field

[0001] This invention proposes a method and system for adjusting land space resilience planning strategies, which relates to the field of planning strategy adjustment technology, specifically to the field of land space resilience planning strategy adjustment technology. Background Technology

[0002] In current land spatial planning, traditional methods have limitations in grasping the characteristics of land parcels, often resulting in problems such as characteristic confusion and fragmented information, making it difficult to comprehensively understand the commonalities and unique characteristics of various land parcels. Risk identification often focuses on a single dimension, lacking analysis of multiple factors, leading to fragmented hazard area delineation, difficulty in distinguishing between explicit and implicit risks, and generalized assessment results. At the same time, planning strategy formulation is easily influenced by subjectivity, lacking scientific basis and systematic support, and exhibiting insufficient resilience in responding to disasters and conflicts. Given the complexity of land parcel classification and the diversity of influencing factors, existing technologies struggle to achieve accurate risk assessment and dynamic adjustment of planning strategies. Summary of the Invention

[0003] This invention provides a method and system for adjusting land space resilience planning strategies to solve the above-mentioned problems:

[0004] This invention proposes a method and system for adjusting land space resilience planning strategies, the method comprising:

[0005] S1. Obtain category land parcel information based on preset land parcel range information, extract similar and different feature information from them, and obtain similar and different land parcel feature information.

[0006] S2. Perform centralized data analysis on multiple types of land parcel information at centralized nodes, and obtain the safety linkage areas for each type of hidden danger based on the centralized data analysis information;

[0007] S3. Based on the characteristic information of the same different plots, determine the safety hazard level of the safety linkage area of ​​the type of hidden danger, obtain the first hazard coefficient and the second hazard coefficient based on the safety hazard level determination information, and then obtain the plot hazard coefficient. Determine the area risk labeling information based on the plot hazard coefficient.

[0008] S4. Based on the regional risk labeling information, conduct conflict range analysis on the information of categorized land parcels, construct a geological disaster planning rule base and a geological disaster planning knowledge base, adjust the planning strategy based on the conflict range analysis results, and obtain planning strategy adjustment information.

[0009] Further, S1 includes:

[0010] Obtain preset land parcel range information, and classify land parcels into multiple categories based on the preset land parcel range information;

[0011] Category features are extracted for each category of land parcel information to obtain category land parcel feature information;

[0012] Extracting the same features from the feature information of multiple categories of land parcels yields the same feature information of land parcels;

[0013] Obtain the characteristic information of land parcels other than those with the same characteristics from the category land parcel characteristic information to obtain the characteristic information of differentiated land parcels.

[0014] Further, S2 includes:

[0015] Multiple category-based centralized nodes are set up for information on multiple types of land parcels. Different categories of centralized control are carried out through different category-based centralized nodes to obtain category-based centralized control information.

[0016] Based on the category set nodes, obtain the category set information of multiple categories of land parcels, and then obtain the category set average value of the multiple category set information of the category node nodes to obtain the category set standard value;

[0017] Compare the category information of each type of land parcel with the corresponding category standard value;

[0018] Information on land parcels whose category information is less than the corresponding category standard value is obtained and marked as potential hazard areas.

[0019] Obtain land parcels whose category information is greater than or equal to the corresponding category standard value and mark them as safe areas;

[0020] Connect all the potential hazard areas of each type of centralized node to obtain the type-specific hazard linkage area;

[0021] Connect all the security point areas of each category's centralized node to obtain the category-linked security area.

[0022] Further, S3 includes:

[0023] Obtain characteristic information of similar plots in the linked areas of different types of hidden dangers, and identify them as first-level type plot hidden danger characteristic information;

[0024] Obtain differentiated land parcel characteristic information for areas with linked types of potential hazards, and identify them as secondary-level land parcel safety characteristic information;

[0025] Obtain the characteristic information of the same type of land parcel in the safety linkage area and identify it as the first-level type of land parcel safety characteristic information;

[0026] Obtain the differentiated land parcel characteristic information of the various safety linkage areas, and identify them as secondary-level land parcel hazard characteristic information.

[0027] Furthermore, S3 also includes:

[0028] Obtain the number of primary-level hazard features and the number of primary-level safety features of each type of land parcel, calculate their ratio, and obtain the first hazard coefficient for each type of land parcel.

[0029] Obtain the number of potential hazards and the number of safety features of secondary-level land parcels for each category of land parcel information, calculate their ratio, and obtain the second hazard coefficient for each category of land parcel information;

[0030] Hazard weight data are set for the first hazard coefficient and the second hazard coefficient respectively, and the hazard weight data of the first hazard coefficient is greater than the hazard weight data of the second hazard coefficient;

[0031] The land parcel hazard coefficient is obtained by combining the first hazard coefficient, the second hazard coefficient, and the hazard weight data. The land parcel information is then labeled with regional risk based on the land parcel hazard coefficient to obtain regional risk labeling information.

[0032] Further, the step of obtaining a plot hazard coefficient based on the first hazard coefficient, the second hazard coefficient, and hazard weight data, and then labeling the category plot information with regional risks based on the plot hazard coefficient to obtain regional risk labeling information, includes:

[0033] Obtain the product of the first hazard coefficient and its corresponding hazard weight data to obtain the first weighted hazard coefficient;

[0034] The second weighted hazard coefficient is obtained by multiplying the second hazard coefficient by its corresponding hazard weight data.

[0035] The average value of the first weighted hazard coefficient and the second weighted hazard coefficient is used to obtain the hazard coefficient of the land parcel.

[0036] The land plot hazard coefficient is compared with the preset land plot hazard threshold to obtain the land plot hazard comparison result;

[0037] Based on the comparison results of potential hazards in the land parcels, regional risk labeling is performed on the information of the categorized land parcels to obtain regional risk labeling information.

[0038] Furthermore, based on the comparison results of potential hazards in the aforementioned land parcels, regional risk labeling is performed on the information of categorized land parcels to obtain regional risk labeling information, including:

[0039] When the hazard coefficient of a plot of land is more than twice the preset hazard threshold, the plot information will be marked as an extremely high-risk area.

[0040] When the hazard coefficient of a plot is less than or equal to twice the preset hazard threshold, or greater than the preset hazard threshold, the plot information will be marked as a high-risk area.

[0041] When the hazard coefficient of a plot is less than or equal to the preset hazard threshold, the plot information will be marked as a low-risk area.

[0042] Further, S4 includes:

[0043] Obtain land parcel planning information of different land parcel categories, and extract security requirement features from the land parcel category information based on the land parcel planning information of the different land parcel categories to obtain category security requirement feature information;

[0044] Determine whether the land parcel information of the aforementioned category belongs to an extremely high-risk area or a high-risk area to obtain land parcel risk assessment information;

[0045] When the land parcel information of the category does not belong to an extremely high-risk area or a high-risk area, determine whether the primary type of land parcel hazard characteristics of the land parcel information of the category belongs to the safety demand characteristics of the category, and obtain the characteristic attribution judgment information.

[0046] Based on the attribute information of the aforementioned features, the conflict category of the land parcels is determined, thereby obtaining the scope of the conflict.

[0047] Furthermore, S4 also includes:

[0048] Construct a geological disaster planning rule base and a geological disaster planning knowledge base;

[0049] Based on the geological disaster planning rule base and the geological disaster planning knowledge base, planning strategies are adjusted for each type of land parcel information to obtain planning strategy adjustment information.

[0050] Furthermore, the system includes:

[0051] The difference analysis module is used to obtain category land information based on preset land area information, extract the difference information of the same features, and obtain the feature information of the same difference land.

[0052] The centralized analysis module is used to perform centralized data analysis on multiple types of land parcel information across multiple centralized nodes, and to obtain the safety linkage areas for various types of potential hazards based on the centralized data analysis information.

[0053] The hazard analysis module is used to determine the safety hazard level of different types of hazard-related safety linkage areas based on the characteristic information of the same different plots. Based on the safety hazard level determination information, the first hazard coefficient and the second hazard coefficient are obtained, and then the plot hazard coefficient is obtained. Based on the plot hazard coefficient, the area risk labeling information is determined.

[0054] The strategy adjustment module is used to analyze the conflict range of categorized land parcel information based on regional risk labeling information, construct a geological disaster planning rule base and a geological disaster planning knowledge base, adjust the planning strategy based on the conflict range analysis results, and obtain planning strategy adjustment information.

[0055] The beneficial effects of this invention are as follows: Through systematic feature extraction and analysis, it achieves precise analysis of land parcels in national land space, improving the accuracy and interconnectivity of parcel feature analysis in traditional planning. Centralized node analysis can efficiently identify areas with potential hazards, enhancing the overall effectiveness of risk identification. Strategy adjustments based on rule bases and knowledge bases allow planning information to be tailored to specific professional needs, effectively strengthening the resilience of national land space planning in terms of data processing and analysis capabilities, and improving the ability to cope with various risks. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of a land space resilience planning strategy adjustment method. Detailed Implementation

[0057] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0058] In one embodiment of the present invention, a method and system for adjusting land space resilience planning strategies are proposed, the method comprising:

[0059] S1. Obtain category land parcel information based on preset land parcel range information, extract similar and different feature information from them, and obtain similar and different land parcel feature information.

[0060] S2. Perform centralized data analysis on multiple types of land parcel information at centralized nodes, and obtain the safety linkage areas for each type of hidden danger based on the centralized data analysis information;

[0061] S3. Based on the characteristic information of the same different plots, determine the safety hazard level of the safety linkage area of ​​the type of hidden danger, obtain the first hazard coefficient and the second hazard coefficient based on the safety hazard level determination information, and then obtain the plot hazard coefficient. Determine the area risk labeling information based on the plot hazard coefficient.

[0062] S4. Based on the regional risk labeling information, conduct conflict range analysis on the information of categorized land parcels, construct a geological disaster planning rule base and a geological disaster planning knowledge base, adjust the planning strategy based on the conflict range analysis results, and obtain planning strategy adjustment information.

[0063] The working principle and technical effects of the above-mentioned technical solution are as follows: Based on the preset land parcel scope, this method first extracts the similarities and differences in characteristics of different types of land parcels. Through centralized analysis of land parcel information using multiple centralized nodes, it identifies potential hazards and safety linkage areas. Then, combined with land parcel characteristics, it determines the level of safety hazards, calculates hazard coefficients, and marks regional risks. Based on the risk marking analysis, it analyzes the scope of conflicts and uses the constructed geological disaster planning rule base and planning knowledge base to adjust planning strategies. The entire process is interconnected, forming a complete closed loop from land parcel feature extraction to risk assessment and strategy adjustment.

[0064] Through systematic feature extraction and analysis, precise analysis of land parcels in national land space was achieved, improving the accuracy and interconnectivity of parcel feature analysis in traditional planning. Centralized node analysis can efficiently identify areas with potential hazards, enhancing the overall effectiveness of risk identification. Strategy adjustments based on rule bases and knowledge bases allow planning information to be tailored to specific professional needs, effectively strengthening the resilience of national land space planning in terms of data processing and analysis capabilities, and improving the ability to cope with various risks.

[0065] In one embodiment of the present invention, S1 includes:

[0066] Obtain preset land parcel range information, and classify land parcels according to the preset land parcel range information to obtain multiple categories of land parcel information; the multiple categories of land parcel information include urban concentrated construction areas, urban flexible development areas, village construction areas, terrestrial ecological control areas, farmland protection areas, forestry development areas, and mineral development areas, etc.

[0067] Category features are extracted for each category of land parcel information to obtain category land parcel feature information;

[0068] Extracting the same features from the feature information of multiple categories of land parcels to obtain the same land parcel feature information; the commonalities of the features of multiple categories of land parcels with the same land parcel feature information;

[0069] Obtain the characteristic information of land parcels other than those with the same characteristics from the category land parcel characteristic information to obtain the characteristic information of differentiated land parcels.

[0070] The working principle and technical effects of the above technical solution are as follows: Based on the preset land parcel boundaries, the land parcels are divided into multiple categories such as urban concentrated construction areas and farmland protection areas. Features are extracted for each category, and then commonalities are selected from these features to obtain the characteristic information of parcels with similar features. The remaining features are the characteristic information of parcels with differences. Through classification and extraction, the common and unique characteristics of different land parcel categories are clearly distinguished.

[0071] The method of extracting features by category can comprehensively sort out the attributes of various types of land parcels, avoiding the problem of feature confusion. Extracting the same features is used to find common influencing factors among different land parcels, while the differences highlight the uniqueness of each type of land parcel, making data analysis more targeted and improving the efficiency and accuracy of the entire planning process.

[0072] In one embodiment of the present invention, S2 includes:

[0073] Multiple category-based centralized nodes are set up for information on multiple types of land parcels. Different categories of centralized control are carried out through different category-based centralized nodes to obtain category-based centralized control information. The multiple category-based centralized nodes include temperature, humidity, area, and number of people, etc.

[0074] Based on the category set nodes, obtain the category set information of multiple categories of land parcels, and then obtain the category set average value of the multiple category set information of the category node nodes to obtain the category set standard value;

[0075] Compare the category information of each type of land parcel with the corresponding category standard value;

[0076] Information on land parcels whose category information is less than the corresponding category standard value is obtained and marked as potential hazard areas.

[0077] Obtain land parcels whose category information is greater than or equal to the corresponding category standard value and mark them as safe areas;

[0078] Connect all the potential hazard areas of each type of centralized node to obtain the type-specific hazard linkage area;

[0079] Connect all the security point areas of each category's centralized node to obtain the category-linked security area.

[0080] The working principle and technical effects of the above technical solution are as follows: Multiple centralized nodes, such as those for temperature and humidity, are set up for various types of land parcels. Information from these nodes is centrally controlled and acquired. The central average value of the land parcel information for each category under each node is calculated as a standard value. The information for each category of land parcels is compared with the standard value to distinguish between potential hazard points and safe areas. Potential hazard points and safe areas within the same node are connected to form linked hazard and safe area zones.

[0081] By setting up multiple centralized nodes, multi-dimensional monitoring and analysis of land parcels were achieved, covering key factors affecting land parcel safety. Standard values ​​were established for centralized assessment of land parcel types and conditions, providing a benchmark and avoiding biases from subjective judgment. The formation of linked zones integrated scattered potential hazard points and safe points, allowing for a holistic view of risk distribution, defining clear regional boundaries, and enhancing the systematic and comprehensive nature of risk identification.

[0082] In one embodiment of the present invention, S3 includes:

[0083] Obtain characteristic information of similar plots in the linked areas of different types of hidden dangers, and identify them as first-level type plot hidden danger characteristic information;

[0084] Obtain differentiated land parcel characteristic information for areas with linked types of potential hazards, and identify them as secondary-level land parcel safety characteristic information;

[0085] Obtain the characteristic information of the same type of land parcel in the safety linkage area and identify it as the first-level type of land parcel safety characteristic information;

[0086] Obtain the differentiated land parcel characteristic information of the various safety linkage areas, and identify them as secondary-level land parcel hazard characteristic information.

[0087] The first-level land parcel hazard characteristics information refers to visible hazards, while the second-level land parcel hazard characteristics information refers to hidden hazards.

[0088] The working principle and technical effect of the above technical solution are as follows: In areas with interconnected hazard types, features of the same plot are identified as primary hazard features (visible hazards), and features that differ are identified as secondary safety features; in areas with interconnected safety types, features that are the same are primary safety features, and features that differ are secondary hazard features (hidden hazards). Through the above method, the hazard attributes of features in different interconnected areas can be obtained, distinguishing between visible and hidden hazards.

[0089] The above method accurately distinguishes between explicit and implicit hazards, breaking through the limitations of traditional planning that only focuses on explicit risks, and making hazard identification more comprehensive. Explicit hazards are intuitive and easy to spot, while implicit hazards are hidden in the differences in characteristics. This classification takes into account the role of implicit hazards, calculates hazard coefficients more specifically, and improves the depth and accuracy of risk assessment.

[0090] In one embodiment of the present invention, S3 further includes:

[0091] Obtain the number of primary-level hazard features and the number of primary-level safety features of each type of land parcel, calculate their ratio, and obtain the first hazard coefficient for each type of land parcel.

[0092] Obtain the number of potential hazards and the number of safety features of secondary-level land parcels for each category of land parcel information, calculate their ratio, and obtain the second hazard coefficient for each category of land parcel information;

[0093] Hazard weight data are set for the first hazard coefficient and the second hazard coefficient respectively, and the hazard weight data of the first hazard coefficient is greater than the hazard weight data of the second hazard coefficient;

[0094] The land parcel hazard coefficient is obtained by combining the first hazard coefficient, the second hazard coefficient, and the hazard weight data. The land parcel information is then labeled with regional risk based on the land parcel hazard coefficient to obtain regional risk labeling information.

[0095] The working principle and technical effect of the above technical solution are as follows: The ratio of the number of primary hazard characteristics to the number of primary safety characteristics for each type of land parcel is calculated to obtain the first hazard coefficient; the ratio of the secondary hazard coefficient to the number of secondary safety characteristics is calculated to obtain the second hazard coefficient. Different weights are assigned to the two coefficients, with the first hazard coefficient having a larger weight. The hazard coefficient of the land parcel is calculated by combining the weights, thereby marking the regional risk.

[0096] By converting characteristic quantities into quantifiable coefficients through ratio calculations, hazard assessment becomes more objective. Assigning weights to different hazard coefficients highlights the importance of visible hazards, aligning with the actual degree of risk impact. The hazard coefficients obtained through this calculation method more accurately reflect the risk status of a plot, improving the precision of risk labeling.

[0097] In one embodiment of the present invention, the step of obtaining a land parcel hazard coefficient based on a first hazard coefficient, a second hazard coefficient, and hazard weight data, and then performing regional risk labeling on the categorized land parcel information based on the land parcel hazard coefficient to obtain regional risk labeling information includes:

[0098] Obtain the product of the first hazard coefficient and its corresponding hazard weight data to obtain the first weighted hazard coefficient;

[0099] The second weighted hazard coefficient is obtained by multiplying the second hazard coefficient by its corresponding hazard weight data.

[0100] The average value of the first weighted hazard coefficient and the second weighted hazard coefficient is used to obtain the hazard coefficient of the land parcel.

[0101] The land plot hazard coefficient is compared with the preset land plot hazard threshold to obtain the land plot hazard comparison result;

[0102] Based on the comparison results of potential hazards in the land parcels, regional risk labeling is performed on the information of the categorized land parcels to obtain regional risk labeling information.

[0103] Specifically, based on the comparison results of potential hazards in the aforementioned land parcels, regional risk labeling is performed on the information of categorized land parcels to obtain regional risk labeling information, including:

[0104] When the hazard coefficient of a plot of land is more than twice the preset hazard threshold, the plot information will be marked as an extremely high-risk area.

[0105] When the hazard coefficient of a plot is less than or equal to twice the preset hazard threshold, or greater than the preset hazard threshold, the plot information will be marked as a high-risk area.

[0106] When the hazard coefficient of a plot is less than or equal to the preset hazard threshold, the plot information will be marked as a low-risk area.

[0107] The working principle and technical effect of the above technical solution are as follows: The first and second hazard coefficients are multiplied by their corresponding weights to obtain the first and second weighted hazard coefficients, and the average of the two is taken as the hazard coefficient of the plot. This coefficient is compared with a preset threshold, and based on different comparison results, the plot is marked as an extremely high-risk, high-risk, or low-risk area.

[0108] The average value calculation method integrates the influence of two hazard coefficients, making the hazard coefficient of the plot more representative. By comparing multiple levels with preset thresholds, a refined classification of regional risks is achieved, avoiding the generality of risk assessment. This precise risk labeling allows for differentiated response measures, improving the effectiveness of planning.

[0109] In one embodiment of the present invention, S4 includes:

[0110] Obtain land parcel planning information of different land parcel categories, and extract security requirement features from the land parcel category information based on the land parcel planning information of the different land parcel categories to obtain category security requirement feature information;

[0111] Determine whether the land parcel information of the aforementioned category belongs to an extremely high-risk area or a high-risk area to obtain land parcel risk assessment information;

[0112] When the land parcel information of the category does not belong to an extremely high-risk area or a high-risk area, determine whether the primary type of land parcel hazard characteristics of the land parcel information of the category belongs to the safety demand characteristics of the category, and obtain the characteristic attribution judgment information.

[0113] Based on the attribute information of the aforementioned features, the conflict category of the land parcels is determined, thereby obtaining the scope of the conflict.

[0114] The working principle and technical effect of the above technical solution are as follows: extract the safety requirement characteristics from the planning information of the land parcels and determine whether the land parcel belongs to an extremely high or high-risk area. If it does not belong to such an area, further determine whether the primary hazard characteristics belong to the safety requirement characteristics, and determine the conflict category land parcel information and conflict scope based on the judgment results.

[0115] The analysis, starting from the safety requirements of the land parcel planning, ensures the consistency between conflict identification and planning objectives. For conflict analysis in non-high-risk areas, the focus is on the matching degree between primary hazard characteristics and safety requirements, which can accurately identify land parcels that do not meet safety requirements, clarify the scope of conflicts, and enhance the pertinence of planning adjustments.

[0116] In one embodiment of the present invention, S4 further includes:

[0117] Construct a geological disaster planning rule base and a geological disaster planning knowledge base;

[0118] Based on the geological disaster planning rule base and the geological disaster planning knowledge base, planning strategies are adjusted for each type of land parcel information to obtain planning strategy adjustment information.

[0119] The working principle and technical effects of the above technical solution are as follows: Working principle: Construct a geological disaster planning rule base and a geological disaster planning knowledge base. Based on the information in these two bases, adjust the planning strategy for each type of land parcel information, and finally obtain the planning strategy adjustment information.

[0120] Technical Effects: The geological disaster planning rule base provides planning norms and standards, while the geological disaster planning knowledge base provides planning experience and methods. The combination of the two provides solid theoretical and practical support for adjusting planning strategies. Adjustments based on these two bases make planning strategies more scientific and feasible, avoiding the blind spots in strategy formulation, effectively improving the ability of territorial spatial planning to cope with disasters and conflicts, and enhancing the resilience of the planning.

[0121] According to one embodiment of the present invention, the system includes:

[0122] The difference analysis module is used to obtain category land information based on preset land area information, extract the difference information of the same features, and obtain the feature information of the same difference land.

[0123] The centralized analysis module is used to perform centralized data analysis on multiple types of land parcel information across multiple centralized nodes, and to obtain the safety linkage areas for various types of potential hazards based on the centralized data analysis information.

[0124] The hazard analysis module is used to determine the safety hazard level of different types of hazard-related safety linkage areas based on the characteristic information of the same different plots. Based on the safety hazard level determination information, the first hazard coefficient and the second hazard coefficient are obtained, and then the plot hazard coefficient is obtained. Based on the plot hazard coefficient, the area risk labeling information is determined.

[0125] The strategy adjustment module is used to analyze the conflict range of categorized land parcel information based on regional risk labeling information, construct a geological disaster planning rule base and a geological disaster planning knowledge base, adjust the planning strategy based on the conflict range analysis results, and obtain planning strategy adjustment information.

[0126] The working principle and technical effects of the above technical solution are as follows: the difference analysis module is responsible for extracting the similarities and differences in the characteristics of the land parcels; the centralized analysis module performs multi-node centralized analysis of the land parcel information to obtain the linkage area; the hidden danger analysis module determines the hidden danger level, calculates the hidden danger coefficient, and marks the risk; the strategy adjustment module analyzes the scope of conflict and adjusts the strategy with the help of the rule base and knowledge base. Each module has a clear division of labor and works together to complete the entire planning adjustment process.

[0127] The modular system design enables specialized division of functions, improving the overall system's operational efficiency. The collaborative cooperation between modules ensures a smooth transition from land parcel feature analysis to strategy adjustment, avoiding information gaps. This system architecture makes the adjustment process of land space resilience planning strategies more systematic and operational, efficiently handling complex land parcel information and planning requirements, and improving the overall quality and efficiency of planning work.

[0128] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for adjusting land space resilience planning strategies, characterized in that, The method includes: S1. Obtain category land parcel information based on preset land parcel range information, extract similar and different feature information from them, and obtain similar and different land parcel feature information. S2. Perform centralized data analysis on multiple types of land parcel information at centralized nodes, and obtain the safety linkage areas for each type of hidden danger based on the centralized data analysis information; Among them, multiple types of centralized nodes include temperature, humidity, area, and number of people; S3. Based on the characteristic information of the same different plots, determine the safety hazard level of the safety linkage area of ​​the type of hidden danger, obtain the first hazard coefficient and the second hazard coefficient based on the safety hazard level determination information, and then obtain the plot hazard coefficient. Determine the area risk labeling information based on the plot hazard coefficient. S4. Analyze the conflict range of category land parcel information based on regional risk labeling information, construct a geological disaster planning rule base and a geological disaster planning knowledge base, adjust the planning strategy based on the conflict range analysis results, and obtain planning strategy adjustment information. Wherein, S3 includes: Obtain characteristic information of similar plots in the linked areas of different types of hidden dangers, and identify them as first-level type plot hidden danger characteristic information; Obtain differentiated land parcel characteristic information for areas with linked types of potential hazards, and identify them as secondary-level land parcel safety characteristic information; Obtain the characteristic information of the same type of land parcel in the safety linkage area and identify it as the first-level type of land parcel safety characteristic information; Obtain the differentiated land parcel characteristic information of different types of safety linkage areas, and identify them as secondary type land parcel hazard characteristic information; S3 further includes: Obtain the number of primary-level hazard features and the number of primary-level safety features of each type of land parcel, calculate their ratio, and obtain the first hazard coefficient for each type of land parcel. Obtain the number of potential hazards and the number of safety features of secondary-level land parcels for each category of land parcel information, calculate their ratio, and obtain the second hazard coefficient for each category of land parcel information; Hazard weight data are set for the first hazard coefficient and the second hazard coefficient respectively, and the hazard weight data of the first hazard coefficient is greater than the hazard weight data of the second hazard coefficient; The land parcel hazard coefficient is obtained by combining the first hazard coefficient, the second hazard coefficient, and the hazard weight data. The land parcel information is then labeled with regional risk based on the land parcel hazard coefficient to obtain regional risk labeling information.

2. The method for adjusting a resilient land space planning strategy according to claim 1, characterized in that, S1 includes: Obtain preset land parcel range information, and classify land parcels into multiple categories based on the preset land parcel range information; Category features are extracted for each category of land parcel information to obtain category land parcel feature information; Extracting the same features from the feature information of multiple categories of land parcels yields the same feature information of land parcels; Obtain the characteristic information of land parcels other than those with the same characteristics from the category land parcel characteristic information to obtain the characteristic information of differentiated land parcels.

3. The method for adjusting a land space resilience planning strategy according to claim 1, characterized in that, S2 includes: Multiple category-based centralized nodes are set up for information on multiple types of land parcels. Different categories of centralized control are carried out through different category-based centralized nodes to obtain category-based centralized control information. Based on the category set nodes, obtain the category set information of multiple categories of land parcels, and then obtain the category set average value of the multiple category set information of the category node nodes to obtain the category set standard value; Compare the category information of each type of land parcel with the corresponding category standard value; Information on land parcels whose category information is less than the corresponding category standard value is obtained and marked as potential hazard areas. Obtain land parcels whose category information is greater than or equal to the corresponding category standard value and mark them as safe areas; Connect all the potential hazard areas of each type of centralized node to obtain the type-specific hazard linkage area; Connect all the security point areas of each category's centralized node to obtain the category-linked security area.

4. The method for adjusting a land space resilience planning strategy according to claim 1, characterized in that, The process of obtaining a land parcel hazard coefficient based on a first hazard coefficient, a second hazard coefficient, and hazard weight data, and then labeling the categorized land parcel information with regional risks based on the land parcel hazard coefficient to obtain regional risk labeling information includes: Obtain the product of the first hazard coefficient and its corresponding hazard weight data to obtain the first weighted hazard coefficient; The second weighted hazard coefficient is obtained by multiplying the second hazard coefficient by its corresponding hazard weight data. The average value of the first weighted hazard coefficient and the second weighted hazard coefficient is used to obtain the hazard coefficient of the land parcel. The land plot hazard coefficient is compared with the preset land plot hazard threshold to obtain the land plot hazard comparison result; Based on the comparison results of potential hazards in the land parcels, regional risk labeling is performed on the information of the categorized land parcels to obtain regional risk labeling information.

5. The method for adjusting a land space resilience planning strategy according to claim 4, characterized in that, Based on the comparison results of potential hazards in the aforementioned land parcels, regional risk labeling is performed on the information of categorized land parcels to obtain regional risk labeling information, including: When the hazard coefficient of a plot of land is more than twice the preset hazard threshold, the plot information will be marked as an extremely high-risk area. When the hazard coefficient of a plot is less than or equal to twice the preset hazard threshold, or greater than the preset hazard threshold, the plot information will be marked as a high-risk area. When the hazard coefficient of a plot is less than or equal to the preset hazard threshold, the plot information will be marked as a low-risk area.

6. The method for adjusting a resilient planning strategy for territorial space according to claim 1, characterized in that, S4 includes: Obtain land parcel planning information of different land parcel categories, and extract security requirement features from the land parcel category information based on the land parcel planning information of the different land parcel categories to obtain category security requirement feature information; Determine whether the land parcel information of the aforementioned category belongs to an extremely high-risk area or a high-risk area to obtain land parcel risk assessment information; When the land parcel information of the category does not belong to an extremely high-risk area or a high-risk area, determine whether the primary type of land parcel hazard characteristics of the land parcel information of the category belongs to the safety demand characteristics of the category, and obtain the characteristic attribution judgment information. Based on the attribute information of the aforementioned features, the conflict category of the land parcels is determined, thereby obtaining the scope of the conflict.

7. The method for adjusting a resilient planning strategy for national land space according to claim 6, characterized in that, S4 further includes: Construct a geological disaster planning rule base and a geological disaster planning knowledge base; Based on the geological disaster planning rule base and the geological disaster planning knowledge base, planning strategies are adjusted for each type of land parcel information to obtain planning strategy adjustment information.

8. A land space resilience planning strategy adjustment system, characterized in that, The system includes: The difference analysis module is used to obtain category land information based on preset land area information, extract the difference information of the same features, and obtain the feature information of the same difference land. The centralized analysis module is used to perform centralized data analysis on multiple types of land parcel information across multiple centralized nodes, and to obtain the safety linkage areas for various types of potential hazards based on the centralized data analysis information. Among them, multiple types of centralized nodes include temperature, humidity, area, and number of people; The hazard analysis module is used to determine the safety hazard level of different types of hazard-related safety linkage areas based on the characteristic information of the same different plots. Based on the safety hazard level determination information, the first hazard coefficient and the second hazard coefficient are obtained, and then the plot hazard coefficient is obtained. Based on the plot hazard coefficient, the area risk labeling information is determined. The strategy adjustment module is used to analyze the conflict range of category land parcel information based on regional risk labeling information, construct a geological disaster planning rule base and a geological disaster planning knowledge base, adjust the planning strategy based on the conflict range analysis results, and obtain planning strategy adjustment information. The hazard analysis module includes: Obtain characteristic information of similar plots in the linked areas of different types of hidden dangers, and identify them as first-level type plot hidden danger characteristic information; Obtain differentiated land parcel characteristic information for areas with linked types of potential hazards, and identify them as secondary-level land parcel safety characteristic information; Obtain the characteristic information of the same type of land parcel in the safety linkage area and identify it as the first-level type of land parcel safety characteristic information; Obtain the differentiated land parcel characteristic information of different types of safety linkage areas, and identify them as secondary type land parcel hazard characteristic information; The hazard analysis module further includes: Obtain the number of primary-level hazard features and the number of primary-level safety features of each type of land parcel, calculate their ratio, and obtain the first hazard coefficient for each type of land parcel. Obtain the number of potential hazards and the number of safety features of secondary-level land parcels for each category of land parcel information, calculate their ratio, and obtain the second hazard coefficient for each category of land parcel information; Hazard weight data are set for the first hazard coefficient and the second hazard coefficient respectively, and the hazard weight data of the first hazard coefficient is greater than the hazard weight data of the second hazard coefficient; The land parcel hazard coefficient is obtained by combining the first hazard coefficient, the second hazard coefficient, and the hazard weight data. The land parcel information is then labeled with regional risk based on the land parcel hazard coefficient to obtain regional risk labeling information.

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