Land resource information intelligent management method and system

Abstract

The invention is suitable for the technical field of land resource management, and provides a land resource information intelligent management method and system, and the method comprises the following steps: collecting the multi-dimensional data of each land resource, the multi-dimensional data relates to economic data, environmental data, industrial ecological data and risk data; calculating comprehensive value information of each land resource based on the multi-dimensional data, wherein the comprehensive value information comprises an economic value V1, an ecological value V2, a social value V3, a strategic value V4 and a risk condition V5; analyzing the comprehensive value information, determining the planning positioning of each land resource, and classifying all land resources; historical value information is called, the change trend of each land resource is determined, when the comprehensive value continuously decreases, the change trend is analyzed, and a rectification scheme is determined. According to the method, the value of the land resources can be evaluated more comprehensively and accurately, and a scientific basis is provided for land resource management.

Description

Technical Field

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

[0002] With the acceleration of urbanization and rapid economic development, the rational utilization and management of land resources, as a key production factor, have become increasingly critical. Land resources not only support economic activities but are also closely linked to the ecological environment, social development, and strategic layout. Under traditional land resource management models, data collection is often limited to a single dimension, focusing solely on the economic output of land while ignoring multiple factors such as the environment, ecology, society, and potential risks. This one-sided data collection approach results in incomplete and inaccurate assessments of land resource value, making it difficult to truly reflect the comprehensive status of land resources. Furthermore, traditional methods lack a scientific basis for land resource planning, positioning, and classification, relying primarily on empirical judgment. This leads to irrational land resource allocation, inefficient utilization of some land resources, and even waste. Furthermore, there is a lack of effective monitoring and analysis methods for changing land resource value trends. When the comprehensive value of land resources continues to decline, timely remediation plans cannot be implemented, thus hindering the sustainable utilization and long-term development of land resources. Therefore, there is a need to provide an intelligent land resource information management method and system to address these issues. Summary of the Invention

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a method and system for intelligent management of land resource information to solve the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented as follows: a method for intelligent management of land resource information, the method comprising the following steps:

[0005] Collect multi-dimensional data on each piece of land resource, including economic data, environmental data, industrial ecology data, and risk data;

[0006] Calculate the comprehensive value information of each piece of land resource based on multi-dimensional data. The comprehensive value information includes economic value V1, ecological value V2, social value V3, strategic value V4 and risk status V5;

[0007] Analyze the comprehensive value information, determine the planning and positioning of each piece of land resource, and classify all land resources;

[0008] Retrieve historical value information to determine the changing trend of each land resource. When the comprehensive value continues to decline, analyze the changing trend and determine the rectification plan.

[0009] As a further solution of the present invention, the step of calculating the comprehensive value information of each piece of land resource based on multi-dimensional data specifically includes:

[0010] Calculate the economic value V1 of each piece of land resource, V1 = K1 × P + K2 × G + K3 × M, P is the output value per unit area, G is the land price index, and M is the tax contribution rate;

[0011] Calculate the ecological value V2 of each piece of land resource, V2 = K4 × NDVI + K5 × BDI, NDVI is the normalized difference vegetation index, BDI is the biodiversity index;

[0012] Calculate the social value V3 of each piece of land resource, V3 = K6 × PC + K7 × PS, PC is the unit population carrying capacity, PS is the public service coverage rate;

[0013] Calculate the strategic value V4 of each piece of land resource, V4 = K8 × LD + K9 × LQ, LD is the planning positioning level, LQ is the industrial agglomeration degree;

[0014] Calculate the risk situation V5 of each piece of land resource, V5 = K10 × DP + K11 × DY, DP is the probability of natural disasters, DY is the pollution risk index, K1 to K11 are weight coefficients;

[0015] V1, V2, V3, V4 and V5 are normalized, and the comprehensive value of land resources is calculated based on the normalized data.

[0016] As a further solution of the present invention, the steps of analyzing the comprehensive value information and determining the planning location of each piece of land resource specifically include:

[0017] An economic-ecological matrix is ​​constructed based on economic value and ecological value, with V1 on the horizontal axis and V2 on the vertical axis. A social-strategic matrix is ​​constructed based on social value and strategic value, with V3 on the horizontal axis and V4 on the vertical axis.

[0018] Determine the economic-ecological threshold, and divide the economic-ecological matrix into four quadrants based on the economic-ecological threshold, with each quadrant corresponding to a planning positioning area;

[0019] Determine the social strategy threshold and divide the social strategy matrix into four quadrants according to the social strategy threshold, with each quadrant corresponding to a planning positioning area;

[0020] The risk value ratio RVR is calculated based on V5. When RVR>1, the current planning positioning area is allowed; otherwise, it needs to be downgraded to a risk control area.

[0021] As a further solution of the present invention, the step of determining the economic ecological threshold and dividing the economic ecological matrix into four quadrants according to the economic ecological threshold, with each quadrant corresponding to a planning positioning area, specifically includes:

[0022] Calculate the economic-ecological equilibrium line BL, Determine the economic ecological threshold Q1, Q1 = α × median (V1 × V2) + (1-α) × BL, where median represents the median and α is the adjustment coefficient;

[0023] Compare V1 and V2 of each land resource with Q1. When V1 and V2 are both ≥Q1, it is determined as an ecological and economic synergy zone; when V1 and V2 are both <Q1, it is determined as an inefficient idle zone; when V1 ≥Q1 and V2 <Q1, it is determined as an economically dominant zone; when V2 ≥Q1 and V1 <Q1, it is determined as an ecologically dominant zone.

[0024] As a further solution of the present invention, the step of determining the social strategy threshold and dividing the social strategy matrix into four quadrants according to the social strategy threshold, with each quadrant corresponding to a planning positioning area, specifically includes:

[0025] Calculate the social strategy base WI, WI = β × V3 + (1-β) × V4. If it belongs to an urbanized area, β is 0.6, otherwise β is 0.4. Extract the top N% of WI and calculate the average value to obtain the social strategy threshold Q2;

[0026] Compare V3 and V4 of each land resource with Q2. When V3 and V4 are both ≥Q2, it is determined as a strategic public service area; when V3 and V4 are both <Q2, it is determined as a functional decline area; when V3 ≥Q2 and V4 <Q2, it is determined as a people's livelihood security area; when V4 ≥Q2 and V3 <Q2, it is determined as a strategic reserve area.

[0027] As a further solution of the present invention, the step of analyzing the change trend and determining the rectification plan specifically includes:

[0028] Analyze the changing trends of economic value, ecological value, social value and strategic value separately to determine the change rate Si of the value attenuation of each dimension, where i represents the value of a certain dimension;

[0029] Calculate the correlation γij between the values ​​of different dimensions, and calculate the risk factor φi based on the risk situation V5, φi=V5×Si÷max(Vi);

[0030] Calculate the value repair urgency Ui, Input Ui and the corresponding dimension value into the solution library to obtain the rectification plan.

[0031] Another object of the present invention is to provide an intelligent land resource information management system, the system comprising:

[0032] A multi-dimensional data acquisition module is used to collect multi-dimensional data of each piece of land resources, including economic data, environmental data, industrial ecology data, and risk data;

[0033] The comprehensive value calculation module is used to calculate the comprehensive value information of each piece of land resources based on multi-dimensional data. The comprehensive value information includes economic value V1, ecological value V2, social value V3, strategic value V4 and risk status V5;

[0034] A planning and positioning determination module is used to analyze the comprehensive value information, determine the planning and positioning of each piece of land resource, and classify all land resources;

[0035] The rectification plan generation module is used to retrieve historical value information and determine the changing trend of each land resource. When the comprehensive value continues to decline, the changing trend is analyzed and the rectification plan is determined.

[0036] As a further solution of the present invention, the comprehensive value calculation module includes:

[0037] The economic value calculation unit is used to calculate the economic value V1 of each piece of land resource, V1 = K1 × P + K2 × G + K3 × M, where P is the output value per unit area, G is the land price index, and M is the tax contribution rate;

[0038] Ecological value calculation unit, used to calculate the ecological value V2 of each land resource, V2 = K4 × NDVI + K5 × BDI, NDVI is the normalized difference vegetation index, BDI is the biodiversity index;

[0039] The social value calculation unit is used to calculate the social value V3 of each piece of land resource, V3 = K6 × PC + K7 × PS, where PC is the unit population carrying capacity and PS is the public service coverage rate;

[0040] Strategic value calculation unit, used to calculate the strategic value V4 of each piece of land resource, V4 = K8 × LD + K9 × LQ, LD is the planning positioning level, LQ is the industrial agglomeration degree;

[0041] The risk situation calculation unit is used to calculate the risk situation V5 of each land resource, V5 = K10 × DP + K11 × DY, DP is the probability of natural disasters, DY is the pollution risk index, and K1 to K11 are weight coefficients;

[0042] The comprehensive value determination unit is used to normalize V1, V2, V3, V4 and V5, and calculate the comprehensive value of land resources based on the normalized data.

[0043] As a further solution of the present invention, the planning and positioning determination module includes:

[0044] Matrix construction unit, used to construct an economic-ecological matrix based on economic value and ecological value, with V1 as the horizontal axis and V2 as the vertical axis; and to construct a social-strategic matrix based on social value and strategic value, with V3 as the horizontal axis and V4 as the vertical axis;

[0045] The economic-ecological division unit is used to determine the economic-ecological threshold. The economic-ecological matrix is ​​divided into four quadrants according to the economic-ecological threshold. Each quadrant corresponds to a planning positioning area.

[0046] The social strategy division unit is used to determine the social strategy threshold and divide the social strategy matrix into four quadrants according to the social strategy threshold. Each quadrant corresponds to a planning positioning area.

[0047] The risk control unit is used to calculate the risk value ratio RVR based on V5. When RVR>1, the current planning location area is allowed; otherwise, it needs to be downgraded to a risk control area.

[0048] As a further solution of the present invention, the rectification plan generation module includes:

[0049] The change rate calculation unit is used to analyze the changing trends of economic value, ecological value, social value and strategic value separately, and determine the change rate Si of the attenuation of the value of each dimension, where i represents the value of a certain dimension;

[0050] The risk factor calculation unit is used to calculate the correlation γij between the values ​​of different dimensions and calculate the risk factor φi based on the risk situation V5, φi=V5×Si÷max(Vi);

[0051] Repair urgency unit, used to calculate the value repair urgency Ui, Input Ui and the corresponding dimension value into the solution library to obtain the rectification plan.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] The present invention collects multi-dimensional data on land resources, including economic data, environmental data, industrial ecological data, and risk data, and calculates comprehensive value information based on this data. This covers multiple aspects, including economic value, ecological value, social value, strategic value, and risk conditions. It can more comprehensively and accurately assess the value of land resources and provide a scientific basis for land resource management. It also analyzes the comprehensive value information to determine the planning and positioning of each piece of land resource, avoiding the drawbacks of traditional methods that rely on empirical judgment, making land resource allocation more scientific and reasonable, improving the utilization efficiency of land resources, and promoting the optimized integration of land resources. It can also timely analyze changing trends and determine rectification plans. This helps to promptly identify problems with land resources and take effective measures to rectify them. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 The figure is a flow chart of a method for intelligent management of land resource information.

[0055] Figure 2 The present invention is a flowchart for calculating comprehensive value information in a land resource information intelligent management method.

[0056] Figure 3 The present invention is a flow chart for determining the planning location of each piece of land resource in a land resource information intelligent management method.

[0057] Figure 4 The present invention is a flowchart for determining rectification plans in an intelligent land resource information management method.

[0058] Figure 5 The figure is a structural diagram of a land resource information intelligent management system. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0060] The specific implementation of the present invention is described in detail below with reference to specific embodiments.

[0061] like Figure 1 As shown, an embodiment of the present invention provides a method for intelligent management of land resource information, the method comprising the following steps:

[0062] S100, collecting multi-dimensional data of each piece of land resource, wherein the multi-dimensional data includes economic data, environmental data, industrial ecology data, and risk data;

[0063] S200, calculate the comprehensive value information of each piece of land resource based on multi-dimensional data, the comprehensive value information includes economic value V1, ecological value V2, social value V3, strategic value V4 and risk status V5;

[0064] S300, analyzing the comprehensive value information, determining the planning location of each piece of land resource, and classifying all land resources;

[0065] S400: retrieve historical value information to determine the changing trend of each piece of land resource. When the comprehensive value continues to decline, analyze the changing trend and determine the rectification plan.

[0066] It should be noted that traditional methods only collect single-dimensional data of land resources and are unable to comprehensively consider multiple factors such as economy, environment, industrial ecology and risks, resulting in inaccurate assessment of land resource value and difficulty in meeting the needs of modern land resource management. Currently, land resource planning, positioning and classification rely on experience, lacking scientific data analysis and decision-making basis, resulting in irrational allocation of land resources and reduced efficiency of land resource utilization. It is impossible to effectively monitor the changing trend of the comprehensive value of land resources. When faced with a continuous decline in value, it is impossible to analyze the reasons and formulate rectification plans in a timely manner, resulting in land resource problems not being solved in a timely manner, affecting the sustainable development of land resources. The embodiments of the present invention are intended to solve the above problems.

[0067] In an embodiment of the present invention, multi-dimensional data of each piece of land resource will first be collected. The multi-dimensional data involves economic data (such as output value per unit area, tax contribution rate, etc.), environmental data (such as normalized vegetation index, biodiversity index, etc.), industrial ecological data (such as industrial agglomeration, public service coverage, etc.) and risk data (such as pollution risk, natural disasters, etc.). Then, the comprehensive value information of each piece of land resource will be calculated based on these data. The comprehensive value information includes economic value, ecological value, social value, strategic value and risk situation. In this way, the value of land resources can be evaluated more comprehensively and accurately, providing a scientific basis for land resource management. Then, the comprehensive value information will be analyzed to determine the planning and positioning of each piece of land resource, and all land resources will be classified. Land resources with the same planning and positioning will be classified into one category, avoiding the drawbacks of relying on experience judgment in traditional methods, making land resource allocation more scientific and reasonable, improving the utilization efficiency of land resources, and promoting the optimization and integration of land resources. Finally, the historical value of land resources will be combined to determine the changing trends of each piece of land resource. When the overall value continues to decline, such as an overall downward trend for N consecutive years, the changing trends of the value of each dimension of the land resource will be analyzed to determine a rectification plan. This helps to promptly identify problems with land resources, take effective measures to rectify them, ensure the sustainable use of land resources, and achieve long-term stable development of land resources.

[0068] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of calculating the comprehensive value information of each piece of land resource based on multi-dimensional data specifically includes:

[0069] S201, calculating the economic value V1 of each piece of land resource;

[0070] S202, calculating the ecological value V2 of each piece of land resource;

[0071] S203, calculating the social value V3 of each piece of land resource;

[0072] S204, calculating the strategic value V4 of each piece of land resource;

[0073] S205, calculating the risk situation V5 of each piece of land resource;

[0074] S206, normalizing V1, V2, V3, V4 and V5, and calculating the comprehensive value of the land resources based on the normalized data.

[0075] In this embodiment of the present invention, the economic value V1 of each piece of land resource is first calculated. V1 = K1 × P + K2 × G + K3 × M, where P is the output value per unit area (10,000 yuan / hectare), G is the land price index, and M is the tax contribution rate (10,000 yuan / hectare). These data need to be collected in advance. Then, the ecological value V2 of each piece of land resource is calculated. V2 = K4 × NDVI + K5 × BDI. NDVI is the Normalized Difference Vegetation Index, a commonly used remote sensing index used to assess the growth, coverage, and health of vegetation. It is calculated by comparing the reflectivity difference between the near-infrared band (NIR) and the red band (Red). Higher NDVI values ​​generally indicate better vegetation growth and higher coverage. BDI is the biodiversity index, a comprehensive indicator used to quantitatively assess the richness and uniformity of biodiversity in a region. At the same time, the social value V3 of each piece of land resource will be calculated, V3 = K6 × PC + K7 × PS, PC is the unit population carrying capacity (people / hectare), PS is the public service coverage rate (the density of public facilities such as schools, hospitals, and bus stops). The strategic value V4 of each piece of land resource will also be calculated, V4 = K8 × LD + K9 × LQ, LD is the planning positioning level, and LQ is the industrial agglomeration degree. Next, the risk situation V5 of each piece of land resource is calculated, V5 = K10 × DP + K11 × DY, DP is the probability of natural disasters, DY is the pollution risk index, obtained through historical data, K1 to K11 are all weight coefficients, and are all fixed values. Finally, V1, V2, V3, V4 and V5 are normalized, and the value of each dimension is normalized to [0,1]. Based on the normalized data, the comprehensive value of land resources is calculated, which is w1×V1+w2×V2+w3×V3+w4×V4+w5×(1-V5), where w1 to w5 are also weight coefficients.

[0076] like Figure 3 As shown, as a preferred embodiment of the present invention, the steps of analyzing the comprehensive value information and determining the planning location of each piece of land resource specifically include:

[0077] S301, construct an economic-ecological matrix based on economic value and ecological value, with V1 on the horizontal axis and V2 on the vertical axis; construct a social-strategic matrix based on social value and strategic value, with V3 on the horizontal axis and V4 on the vertical axis;

[0078] S302, determining an economic ecological threshold, and dividing the economic ecological matrix into four quadrants according to the economic ecological threshold, each quadrant corresponding to a planning positioning area;

[0079] S303, determining a social strategy threshold, and dividing the social strategy matrix into four quadrants according to the social strategy threshold, each quadrant corresponding to a planning positioning area;

[0080] S304: Calculate the risk value ratio (RVR) based on V5. When RVR>1, the current planning location area is allowed; otherwise, it needs to be downgraded to a risk control area.

[0081] In this embodiment of the present invention, two core dimensions, economic value-ecological value (V1-V2) and social value-strategic value (V3-V4), are selected to construct a two-dimensional coordinate system. In the economic-ecological matrix, the horizontal axis represents economic value, and the vertical axis represents ecological value; in the social-strategic matrix, the horizontal axis represents social value, and the vertical axis represents strategic value. V1, V2, V3, and V4 used here are all normalized data. Next, the economic-ecological threshold and the social-strategic threshold are determined. The economic-ecological matrix is ​​divided into four quadrants based on the economic-ecological threshold, each corresponding to a planning location. Simultaneously, the social-strategic matrix is ​​divided into four quadrants based on the social-strategic threshold, each corresponding to a planning location. It should be noted that the planning locations determined by the two matrices are labeled side by side. Finally, the risk of land resources is considered, and the risk-value ratio (RVR) is calculated based on V5: RVR = (V1 + V2 + V3 + V4) / (V5 + 0.01). When RVR > 1, the current planning location is allowed; otherwise, it must be downgraded to a risk control area and reassessed.

[0082] As a preferred embodiment of the present invention, the step of determining the economic ecological threshold, dividing the economic ecological matrix into four quadrants according to the economic ecological threshold, each quadrant corresponding to a planning positioning area, specifically includes:

[0083] S3021, Calculate the economic-ecological equilibrium line BL, Determine the economic ecological threshold Q1, Q1 = α × median (V1 × V2) + (1-α) × BL, where median represents the median and α is the adjustment coefficient;

[0084] S3022, compare V1 and V2 of each land resource with Q1 to determine the specific planning location area.

[0085] In the embodiment of the present invention, the economic-ecological equilibrium line BL is calculated. This method reflects the actual degree of synergy between the economy and ecology. i represents different land resources. The economic-ecological threshold Q1 is then calculated: Q1 = α × median(V1 × V2) + (1-α) × BL, where median represents the median and α is the adjustment coefficient (default 0.6). If regional policies favor economic development, this factor is increased to 0.7. V1 and V2 for each land resource are then compared with Q1. When both V1 and V2 are ≥ Q1, the area is identified as an ecological-economic synergy zone. When both V1 and V2 are < Q1, the area is identified as an inefficient and idle zone. When V1 ≥ Q1 and V2 < Q1, the area is identified as an economically dominant zone. When V2 ≥ Q1 and V1 < Q1, the area is identified as an ecologically dominant zone.

[0086] As a preferred embodiment of the present invention, the step of determining the social strategy threshold and dividing the social strategy matrix into four quadrants according to the social strategy threshold, with each quadrant corresponding to a planning positioning area, specifically includes:

[0087] S3031, calculate the social strategy base WI, WI = β × V3 + (1-β) × V4, in the urbanized area, β is 0.6, otherwise β is 0.4, extract the top N% of WI and calculate the average value to obtain the social strategy threshold Q2;

[0088] S3032, compare V3 and V4 of each land resource with Q2 to determine the specific planning location area.

[0089] In this embodiment of the present invention, a social strategic base number, WI, is calculated: WI = β × V3 + (1-β) × V4. For urbanized areas, β is set to 0.6 (emphasizing social value); otherwise, β is set to 0.4 (emphasizing strategic value). The top N percent (e.g., the top 30%) of WI are then averaged to obtain the social strategic threshold, Q2. V3 and V4 for each land resource are then compared with Q2. When both V3 and V4 are ≥ Q2, the land is designated as a strategic public service area; when both V3 and V4 are < Q2, the land is designated as a functional decline area; when V3 ≥ Q2 and V4 < Q2, the land is designated as a livelihood security area; and when V4 ≥ Q2 and V3 < Q2, the land is designated as a strategic reserve area.

[0090] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of analyzing the change trend and determining the rectification plan specifically includes:

[0091] S401, analyze the changing trends of economic value, ecological value, social value and strategic value separately to determine the change rate Si of the value attenuation of each dimension, where i represents the value of a certain dimension;

[0092] S402, calculating the correlation γij between the values ​​of different dimensions, and calculating the risk factor φi based on the risk situation V5, φi = V5 × Si ÷ max(Vi);

[0093] S403, calculate the value repair urgency Ui, Input Ui and the corresponding dimension value into the solution library to obtain the rectification plan.

[0094] In the embodiment of the present invention, the changing trends of economic value, ecological value, social value and strategic value will be analyzed separately by weighted least squares method to determine the rate of change Si of attenuation of value of each dimension, where i represents the value of a certain dimension and Si is a positive value. Then the correlation degree γij between the values ​​of different dimensions is calculated, where γij represents the correlation degree between the value of dimension i and the value of dimension j. The correlation calculation method can use the Pearson correlation coefficient method. Then, based on the risk situation V5, the risk factor φi is calculated, φi=V5×Si÷max(Vi). Then the value repair urgency Ui is calculated, The calculation method for Ui takes into account correlation correction and risk amplification. Entering Ui and the corresponding dimension value into the solution library will generate a corrective action plan. The solution library needs to be prepared in advance and contains corrective actions corresponding to all dimension values ​​and all urgency ranges.

[0095] like Figure 5 As shown, an embodiment of the present invention further provides an intelligent management system for land resource information, the system comprising:

[0096] A multi-dimensional data collection module 100 is used to collect multi-dimensional data of each land resource, wherein the multi-dimensional data includes economic data, environmental data, industrial ecology data, and risk data;

[0097] Comprehensive value calculation module 200, used to calculate the comprehensive value information of each land resource based on multi-dimensional data, the comprehensive value information includes economic value V1, ecological value V2, social value V3, strategic value V4 and risk status V5;

[0098] The planning and positioning determination module 300 is used to analyze the comprehensive value information, determine the planning and positioning of each piece of land resource, and classify all land resources;

[0099] The rectification plan generation module 400 is used to retrieve historical value information and determine the change trend of each land resource. When the comprehensive value continues to decline, the change trend is analyzed and a rectification plan is determined.

[0100] As a preferred embodiment of the present invention, the comprehensive value calculation module 200 includes:

[0101] The economic value calculation unit is used to calculate the economic value V1 of each piece of land resource, V1 = K1 × P + K2 × G + K3 × M, where P is the output value per unit area, G is the land price index, and M is the tax contribution rate;

[0102] Ecological value calculation unit, used to calculate the ecological value V2 of each land resource, V2 = K4 × NDVI + K5 × BDI, NDVI is the normalized difference vegetation index, BDI is the biodiversity index;

[0103] The social value calculation unit is used to calculate the social value V3 of each piece of land resource, V3 = K6 × PC + K7 × PS, where PC is the unit population carrying capacity and PS is the public service coverage rate;

[0104] Strategic value calculation unit, used to calculate the strategic value V4 of each piece of land resource, V4 = K8 × LD + K9 × LQ, LD is the planning positioning level, LQ is the industrial agglomeration degree;

[0105] The risk situation calculation unit is used to calculate the risk situation V5 of each land resource, V5 = K10 × DP + K11 × DY, DP is the probability of natural disasters, DY is the pollution risk index, and K1 to K11 are weight coefficients;

[0106] The comprehensive value determination unit is used to normalize V1, V2, V3, V4 and V5, and calculate the comprehensive value of land resources based on the normalized data.

[0107] As a preferred embodiment of the present invention, the planning and positioning determination module 300 includes:

[0108] Matrix construction unit, used to construct an economic-ecological matrix based on economic value and ecological value, with V1 as the horizontal axis and V2 as the vertical axis; and to construct a social-strategic matrix based on social value and strategic value, with V3 as the horizontal axis and V4 as the vertical axis;

[0109] The economic-ecological division unit is used to determine the economic-ecological threshold. The economic-ecological matrix is ​​divided into four quadrants according to the economic-ecological threshold. Each quadrant corresponds to a planning positioning area.

[0110] The social strategy division unit is used to determine the social strategy threshold and divide the social strategy matrix into four quadrants according to the social strategy threshold. Each quadrant corresponds to a planning positioning area.

[0111] The risk control unit is used to calculate the risk value ratio RVR based on V5. When RVR>1, the current planning location area is allowed; otherwise, it needs to be downgraded to a risk control area.

[0112] As a preferred embodiment of the present invention, the rectification plan generation module 400 includes:

[0113] The change rate calculation unit is used to analyze the changing trends of economic value, ecological value, social value and strategic value separately, and determine the change rate Si of the attenuation of the value of each dimension, where i represents the value of a certain dimension;

[0114] The risk factor calculation unit is used to calculate the correlation γij between the values ​​of different dimensions and calculate the risk factor φi based on the risk situation V5, φi=V5×Si÷max(Vi);

[0115] Repair urgency unit, used to calculate the value repair urgency Ui, Input Ui and the corresponding dimension value into the solution library to obtain the rectification plan.

[0116] The above is only a detailed description of the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0117] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0118] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0119] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered merely as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A land resource information intelligent management method, characterized in that: The method comprises the following steps: Collect multi-dimensional data on each piece of land resource, including economic data, environmental data, industrial ecology data, and risk data; Calculate the comprehensive value information of each piece of land resource based on multi-dimensional data. The comprehensive value information includes economic value V1, ecological value V2, social value V3, strategic value V4 and risk status V5; Analyze the comprehensive value information, determine the planning and positioning of each piece of land resource, and classify all land resources; Retrieve historical value information to determine the changing trend of each land resource. When the comprehensive value continues to decline, analyze the changing trend and determine the rectification plan.

2. The land resource information intelligent management method according to claim 1, characterized in that: The step of calculating the comprehensive value information of each piece of land resource based on multi-dimensional data specifically includes: Calculate the economic value V1 of each piece of land resource, V1 = K1 × P + K2 × G + K3 × M, P is the output value per unit area, G is the land price index, and M is the tax contribution rate; Calculate the ecological value V2 of each piece of land resource, V2 = K4 × NDVI + K5 × BDI, NDVI is the normalized difference vegetation index, BDI is the biodiversity index; Calculate the social value V3 of each piece of land resource, V3 = K6 × PC + K7 × PS, PC is the unit population carrying capacity, PS is the public service coverage rate; Calculate the strategic value V4 of each piece of land resource, V4 = K8 × LD + K9 × LQ, LD is the planning positioning level, LQ is the industrial agglomeration degree; Calculate the risk situation V5 of each piece of land resource, V5 = K10 × DP + K11 × DY, DP is the probability of natural disasters, DY is the pollution risk index, K1 to K11 are weight coefficients; V1, V2, V3, V4 and V5 are normalized, and the comprehensive value of land resources is calculated based on the normalized data.

3. The land resource information intelligent management method according to claim 1, characterized in that: The steps of analyzing the comprehensive value information and determining the planning and positioning of each piece of land resource specifically include: An economic-ecological matrix is ​​constructed based on economic value and ecological value, with V1 on the horizontal axis and V2 on the vertical axis. A social-strategic matrix is ​​constructed based on social value and strategic value, with V3 on the horizontal axis and V4 on the vertical axis. Determine the economic-ecological threshold, and divide the economic-ecological matrix into four quadrants based on the economic-ecological threshold, with each quadrant corresponding to a planning positioning area; Determine the social strategy threshold and divide the social strategy matrix into four quadrants according to the social strategy threshold, with each quadrant corresponding to a planning positioning area; The risk value ratio RVR is calculated based on V5. When RVR>1, the current planning positioning area is allowed; otherwise, it needs to be downgraded to a risk control area.

4. The land resource information intelligent management method according to claim 3, characterized in that: The step of determining the economic-ecological threshold and dividing the economic-ecological matrix into four quadrants according to the economic-ecological threshold, with each quadrant corresponding to a planning positioning area, specifically includes: Calculate the economic-ecological equilibrium line BL, Determine the economic ecological threshold Q1, Q1 = α × median (V1 × V2) + (1-α) × BL, where median represents the median and α is the adjustment coefficient; Compare V1 and V2 of each land resource with Q1. When V1 and V2 are both ≥Q1, it is determined as an ecological and economic synergy zone; when V1 and V2 are both <Q1, it is determined as an inefficient idle zone; when V1 ≥Q1 and V2 <Q1, it is determined as an economically dominant zone; when V2 ≥Q1 and V1 <Q1, it is determined as an ecologically dominant zone.

5. The land resource information intelligent management method according to claim 3, characterized in that: The step of determining the social strategy threshold and dividing the social strategy matrix into four quadrants according to the social strategy threshold, wherein each quadrant corresponds to a planning positioning area, specifically includes: Calculate the social strategy base WI, WI = β × V3 + (1-β) × V4. If it belongs to an urbanized area, β is 0.6, otherwise β is 0.

4. Extract the top N% of WI and calculate the average value to obtain the social strategy threshold Q2; Compare V3 and V4 of each land resource with Q2. When V3 and V4 are both ≥Q2, it is determined as a strategic public service area; when V3 and V4 are both <Q2, it is determined as a functional decline area; when V3 ≥Q2 and V4 <Q2, it is determined as a people's livelihood security area; when V4 ≥Q2 and V3 <Q2, it is determined as a strategic reserve area.

6. The land resource information intelligent management method according to claim 1, characterized in that: The steps of analyzing the change trend and determining the rectification plan specifically include: Analyze the changing trends of economic value, ecological value, social value and strategic value separately to determine the change rate Si of the value attenuation of each dimension, where i represents the value of a certain dimension; Calculate the correlation γij between the values ​​of different dimensions, and calculate the risk factor φi based on the risk situation V5, φi=V5×Si÷max(Vi); Calculate the value repair urgency Ui, Input Ui and the corresponding dimension value into the solution library to obtain the rectification plan.

7. A land resource information intelligent management system, characterized in that: The system comprises: A multi-dimensional data acquisition module is used to collect multi-dimensional data of each piece of land resources, including economic data, environmental data, industrial ecology data, and risk data; The comprehensive value calculation module is used to calculate the comprehensive value information of each piece of land resources based on multi-dimensional data. The comprehensive value information includes economic value V1, ecological value V2, social value V3, strategic value V4 and risk status V5; A planning and positioning determination module is used to analyze the comprehensive value information, determine the planning and positioning of each piece of land resource, and classify all land resources; The rectification plan generation module is used to retrieve historical value information and determine the changing trend of each land resource. When the comprehensive value continues to decline, the changing trend is analyzed and the rectification plan is determined.

8. The land resource information intelligent management system according to claim 7, characterized in that: The comprehensive value calculation module includes: The economic value calculation unit is used to calculate the economic value V1 of each piece of land resource, V1 = K1 × P + K2 × G + K3 × M, where P is the output value per unit area, G is the land price index, and M is the tax contribution rate; Ecological value calculation unit, used to calculate the ecological value V2 of each land resource, V2 = K4 × NDVI + K5 × BDI, NDVI is the normalized difference vegetation index, BDI is the biodiversity index; The social value calculation unit is used to calculate the social value V3 of each piece of land resource, V3 = K6 × PC + K7 × PS, where PC is the unit population carrying capacity and PS is the public service coverage rate; Strategic value calculation unit, used to calculate the strategic value V4 of each piece of land resource, V4 = K8 × LD + K9 × LQ, LD is the planning positioning level, LQ is the industrial agglomeration degree; The risk situation calculation unit is used to calculate the risk situation V5 of each land resource, V5 = K10 × DP + K11 × DY, DP is the probability of natural disasters, DY is the pollution risk index, and K1 to K11 are weight coefficients; The comprehensive value determination unit is used to normalize V1, V2, V3, V4 and V5, and calculate the comprehensive value of land resources based on the normalized data.

9. The intelligent land resource information management system according to claim 7, characterized in that: The planning and positioning determination module includes: Matrix construction unit, used to construct an economic-ecological matrix based on economic value and ecological value, with V1 as the horizontal axis and V2 as the vertical axis; and to construct a social-strategic matrix based on social value and strategic value, with V3 as the horizontal axis and V4 as the vertical axis; The economic-ecological division unit is used to determine the economic-ecological threshold. The economic-ecological matrix is ​​divided into four quadrants according to the economic-ecological threshold. Each quadrant corresponds to a planning positioning area. The social strategy division unit is used to determine the social strategy threshold and divide the social strategy matrix into four quadrants according to the social strategy threshold. Each quadrant corresponds to a planning positioning area. The risk control unit is used to calculate the risk value ratio RVR based on V5. When RVR>1, the current planning location area is allowed; otherwise, it needs to be downgraded to a risk control area.

10. The intelligent land resource information management system according to claim 7, characterized in that: The rectification plan generation module includes: The change rate calculation unit is used to analyze the changing trends of economic value, ecological value, social value and strategic value separately, and determine the change rate Si of the attenuation of the value of each dimension, where i represents the value of a certain dimension; The risk factor calculation unit is used to calculate the correlation γij between the values ​​of different dimensions and calculate the risk factor φi based on the risk situation V5, φi=V5×Si÷max(Vi); Repair urgency unit, used to calculate the value repair urgency Ui, Input Ui and the corresponding dimension value into the solution library to obtain the rectification plan.

Images