Land space planning optimization method, system, equipment and medium

Abstract

The invention relates to the technical field of territorial space planning, in particular to a territorial space planning optimization method, system and device and a medium, and the method comprises the steps: obtaining territorial space planning information which comprises a plurality of pieces of planning sub-map information and regional index information corresponding to the planning sub-map information; comparing the regional index information with preset index evaluation information to obtain an index comparison result, and performing land type division on the planning sub-map information according to the index comparison result; dividing the regional index information into first index information and second index information according to the division information, constructing a first optimization model according to the first index information and a first index weight corresponding to the first index information to obtain first optimization information, and constructing a second optimization model according to the second index information and a second index weight corresponding to the second index information to obtain second optimization information; and performing analysis according to the first optimization information and the second optimization information to obtain optimization score information, thereby improving the accuracy of territorial space planning.

Description

Technical Field

[0001] The present application relates to the technical field of national land space planning, and in particular to a national land space planning optimization method, system, equipment and medium. Background Art

[0002] National land space planning is the overall planning for land space resources, involving the rational allocation, development and protection of national land space to achieve sustainable social and economic development. By formulating detailed plans, we can effectively improve the quality of urban and rural space, optimize infrastructure configuration, reasonably arrange land use, promote regional coordinated development, and thus enhance the overall spatial function and environmental quality.

[0003] In the Chinese invention patent with application number 202010473462.0, a GIS-based national land space planning optimization method and system are provided. The method selects and extracts a real-life map of national land space distribution from the GIS system, obtains basic data in the area to be optimized based on the real-life map of national land space distribution, and then evaluates the area to be optimized based on the basic data. The national land space is optimized based on the evaluation results, basic data and preset optimization indicators obtained by the above operations, thereby obtaining a map of the optimized national land space planning.

[0004] In the above application, although the national land space planning was optimized according to different indicators, the lack of inspection and optimization during the implementation of the national land space planning resulted in the planning scheme being out of touch with actual needs. There was a lack of dynamic optimization mechanism and supervision and evaluation for different land conditions, which made the optimization results unable to cope with application scenarios of various land types. The planning optimization scheme lacked specificity, which in turn led to unreasonable resource allocation. The above problems need to be solved. Summary of the invention

[0005] In order to make resource allocation reasonable and improve the accuracy of national land space planning, this application provides a national land space planning optimization method, system, equipment and medium, which adopts the following technical solutions:

[0006] In a first aspect, the present application provides a method for optimizing land space planning, including:

[0007] Acquire national land space planning information, wherein the national land space planning information includes a plurality of planning sub-map information and regional indicator information corresponding to the planning sub-map information;

[0008] Compare the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result, and classify the land types of the planning sub-map information according to the indicator comparison result to obtain the classification information;

[0009] According to the division information, the regional indicator information is divided into first indicator information and second indicator information, a first optimization model is constructed according to the first indicator information and its corresponding first indicator weight, thereby obtaining first optimization information, and a second optimization model is constructed according to the second indicator information and its corresponding second indicator weight, thereby obtaining second optimization information;

[0010] The first optimization information and the second optimization information are analyzed to obtain optimization score information for judging the optimization status of the planning sub-map information.

[0011] Preferably, the specific steps of comparing the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result are:

[0012] Acquire indicator evaluation information, wherein the indicator evaluation information includes a plurality of evaluation sub-information;

[0013] The evaluation sub-information is compared with the corresponding indicator sub-information in the regional indicator information to obtain an indicator comparison result reflecting the land situation of the planning sub-map information.

[0014] Preferably, the specific steps of classifying the land types of the planning sub-map information according to the index comparison result to obtain the classification information are:

[0015] Obtain land type information and its corresponding division condition information;

[0016] It is determined whether the index comparison result meets the division condition information. If the index comparison result meets the division condition information, the planning sub-map information is divided into types corresponding to the land type information to obtain the division information.

[0017] Preferably, the land type information includes agricultural land information, urban construction information, ecological protection information and industrial development information.

[0018] Preferably, the specific steps of dividing the regional index information into the first index information and the second index information according to the division information are:

[0019] According to the division information, the type of the planning sub-map information corresponding to the regional indicator information is determined, and the regional indicator information is divided according to the type of the planning sub-map information to obtain a first indicator information and a plurality of second indicator information.

[0020] Preferably, the specific step of analyzing the first optimization information and the second optimization information to obtain optimization score information for optimizing the planning sub-map information includes:

[0021] The planning sub-map information is optimized according to the first optimization information to obtain first optimization score information.

[0022] Preferably, the specific step of analyzing the first optimization information and the second optimization information to obtain optimization score information for optimizing the planning sub-map information includes:

[0023] The planned sub-map information optimized by the first optimization information is optimized according to the second optimization information to obtain second optimization score information.

[0024] In the second aspect, the present application provides a national land space planning optimization system, including:

[0025] An information acquisition module is used to acquire national land space planning information, wherein the national land space planning information includes a plurality of planning sub-map information and regional indicator information corresponding to the planning sub-map information;

[0026] A comparison and division module is used to compare the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result, and to divide the planning sub-map information into land types according to the indicator comparison result to obtain the division information;

[0027] A planning optimization module, used for dividing the regional indicator information into first indicator information and second indicator information according to the division information, constructing a first optimization model according to the first indicator information and its corresponding first indicator weight, thereby obtaining the first optimization information, and constructing a second optimization model according to the second indicator information and its corresponding second indicator weight, thereby obtaining the second optimization information;

[0028] The analysis and scoring module is used to analyze the first optimization information and the second optimization information to obtain optimization scoring information used to determine the optimization status of the planning sub-map information.

[0029] In a third aspect, the present application provides a national land space planning optimization device, comprising a memory and a processor, the memory storing a computer program, the processor being configured to run the computer program to execute the national land space planning optimization method as described above.

[0030] In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the national land space planning optimization method as described above when run.

[0031] In summary, compared with the prior art, the technical solution provided by this application has at least the following beneficial effects:

[0032] The present application obtains planning sub-map information in the national land space planning information and the regional indicator information corresponding to the planning sub-map information, compares the regional indicator information and the indicator evaluation information, obtains the indicator comparison result, divides the planning sub-map information into land types according to the indicator comparison result, obtains the division information of the planning sub-map information, and then divides the regional indicator information into two parts according to the content of the division information, including first indicator information and second indicator information, optimizes the planning sub-map information according to the first optimization information, optimizes the second indicator information as the secondary indicator, obtains the second optimization information, optimizes the planning sub-map information according to the second optimization information, and analyzes the first optimization information and the second optimization information to obtain optimization scoring information used to judge the optimization status of the planning sub-map information, thereby making resource allocation reasonable and improving the accuracy of national land space planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of a land space planning optimization method described in an embodiment of the present application.

[0034] Figure 2 It is a module diagram of a national land space planning optimization system described in an embodiment of the present application.

[0035] Figure 3 It is a structural schematic diagram of a land space planning optimization device described in an embodiment of the present application.

[0036] Description of reference numerals:

[0037] 1. Information acquisition module; 2. Comparison and division module; 3. Planning and optimization module; 4. Analysis and scoring module. DETAILED DESCRIPTION

[0038] The following combination Figure 1-Figure 3 The present application is described in further detail. The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to be limiting.

[0039] During the implementation process, national land space planning often faces the problem of insufficient inspection and optimization, which leads to the planning scheme being out of touch with actual needs and difficult to adapt to actual changes. Therefore, this application provides a national land space planning optimization method.

[0040] Reference Figure 1 , a land space planning optimization method involved in this application specifically includes:

[0041] Step S1: obtaining national land space planning information, wherein the national land space planning information includes a plurality of planning sub-map information and regional indicator information corresponding to the planning sub-map information;

[0042] Step S2: Compare the regional index information with the preset index evaluation information to obtain the index comparison result, and classify the planning sub-map information into land types according to the index comparison result to obtain the classification information;

[0043] Step S3: according to the division information, the regional index information is divided into first index information and second index information, a first optimization model is constructed according to the first index information and its corresponding first index weight, thereby obtaining first optimization information, and a second optimization model is constructed according to the second index information and its corresponding second index weight, thereby obtaining second optimization information;

[0044] Step S4: Analyze the first optimization information and the second optimization information to obtain optimization score information for determining the optimization status of the planning sub-map information.

[0045] Specifically, this application obtains the planning sub-map information in the national land space planning information and the regional indicator information corresponding to the planning sub-map information, compares the regional indicator information and the indicator evaluation information, and obtains the indicator comparison result. The national land space planning information is the land information for preliminary planning, the planning sub-map information is the sub-area divided within the set range, and the regional indicator information is a set of related data information corresponding to one of the planning sub-map information.

[0046] The planning sub-map information is divided into land types according to the index comparison results to obtain the division information of the planning sub-map information. The division information is the planning sub-map information, the corresponding regional index information and its corresponding land type. Then, according to the content of the division information, the regional index information is divided into two parts, including the first index information and the second index information. The first index information is used as the main index to optimize the construction model to obtain the first optimization information. The planning sub-map information is optimized according to the first optimization information. The second index information is used as the secondary index to optimize the construction model to obtain the second optimization information. The planning sub-map information is optimized according to the second optimization information. The first optimization information and the second optimization information are analyzed to obtain the optimization score information used to judge the optimization status of the planning sub-map information, thereby improving the accuracy of the national land space planning.

[0047] Among them, the second indicator information is used as a secondary indicator optimization construction model to obtain the second optimization information on the basis of the first indicator information being used as the main indicator optimization construction model to obtain the first optimization information, so that the planning sub-map information can be optimized after considering the main factors, and then optimized by considering the secondary factors, and comprehensively optimized while considering the land type, and balancing the influence of the main factors and secondary factors, so that the national land planning can be optimized to an appropriate range, thereby improving the accuracy of the national land space planning.

[0048] As one implementation method, the specific steps of comparing the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result are:

[0049] Acquire indicator evaluation information, wherein the indicator evaluation information includes a plurality of evaluation sub-information;

[0050] The evaluation sub-information is compared with the corresponding indicator sub-information in the regional indicator information to obtain an indicator comparison result reflecting the land situation of the planning sub-map information.

[0051] Specifically, the indicator evaluation information of the embodiment of the present application is the threshold information of the corresponding regional indicator information, which is used to compare and judge the numerical value or state of the regional indicator information. Wherein, the regional indicator information includes a number of indicator sub-information, and the corresponding indicator evaluation information includes the same number of evaluation sub-information.

[0052] The indicator sub-information includes but is not limited to five types of land information: land use type and efficiency, environmental impact and sustainability, economic development potential and social needs, transportation and infrastructure construction, social and cultural protection, and landscape planning.

[0053] Each type of land information contains several subcategories. For example, land use type and efficiency include farmland protection rate and quality, urban land proportion, and ecological protection land amount.

[0054] Among them, the cultivated land protection rate refers to the ratio of cultivated land area to total arable land area in a certain area. Generally, a higher cultivated land protection rate indicates that the region has effectively protected cultivated land resources and maintained food security and ecological balance. The quality of cultivated land refers to factors such as soil fertility, crop yield, and soil erosion, and is measured by indicators such as cultivated land quality grade and soil organic matter content.

[0055] The corresponding evaluation sub-information is used to compare the cultivated land protection rate and quality, and the minimum threshold of the cultivated land protection rate is set, such as 80%, and the standards of cultivated land quality, such as the recommended soil organic matter content and pH value range. The actual cultivated land protection rate and cultivated land quality are calculated and compared with the set thresholds. If the actual cultivated land protection rate is lower than 80% or the cultivated land quality standard does not meet the standard, it is evaluated as not meeting the requirements of land use planning, and the current comparison status is recorded as the indicator comparison result.

[0056] The proportion of urban land refers to the ratio of urban land area to total land area in a certain area. This ratio reflects the degree of urban development and the density of land use. Generally, a higher proportion of urban land means a higher level of urbanization, which may also lead to a shortage of land resources and environmental pressure.

[0057] The corresponding assessment sub-information is used to compare the proportion of urban land, and the indicator of the proportion of urban land is set, for example, not exceeding a certain percentage, such as 50%. The actual proportion of urban land is compared with the assessment sub-information. If it exceeds the set proportion, adjustments or planning revisions may be required to ensure the rational use and sustainable development of the land, and the indicator status of the current plan is obtained and recorded as the indicator comparison result.

[0058] The amount of land used for ecological protection refers to the land area used to protect the ecological environment and biodiversity, including nature reserves, forests, wetlands, etc. This indicator reflects the degree of efforts made by a region in environmental protection and ecological restoration, and is of great significance to maintaining ecological balance.

[0059] Set the minimum area requirement for ecological protection land, such as 10% of the total area, and the protection standards for specific ecological areas. Check the actual amount of ecological protection land. If it is less than 10% or does not meet the specific protection standards, it is judged as insufficient ecological protection and measures need to be taken to expand the ecological protection area. If it meets the standards, it is considered that the land meets the requirements for ecological protection land, and the current judgment status is recorded as the indicator comparison result.

[0060] Environmental impacts and sustainability include air and water quality, water resource management, energy efficiency and emissions reduction targets.

[0061] Air quality refers to the concentration of pollutants in the air, such as PM2.5, PM10, NO2, SO2, CO, etc. The concentration levels of these pollutants can affect public health and environmental quality. Air quality is usually measured by the air quality index AQI, and lower AQI values ​​indicate better air quality. Water quality refers to the comprehensive situation of various chemical, physical and biological indicators in water bodies, such as dissolved oxygen, biochemical oxygen demand, total suspended solids, ammonia nitrogen, etc. These indicators determine the cleanliness and suitability of water bodies, such as drinking water or ecosystem support capacity.

[0062] Use the corresponding evaluation sub-information to compare the air quality and water quality, such as setting standard values ​​for air quality and water quality. The maximum allowable value of the air quality index AQI is 100, which is high or good, and water quality indicators such as dissolved oxygen should be greater than 6 mg / L. For air quality, monitor the actual AQI value and compare it with the set standard value. If the AQI value exceeds the set standard, it means that the air quality does not meet the requirements. For water quality, regularly test the key water quality indicators in the water body and compare them with the standard values. If the indicator value exceeds the standard, for example, DO is lower than 6 mg / L or BOD is higher than the specified value, it indicates that the water quality is seriously polluted. Otherwise, it is excellent, and the current comparison status is recorded as the indicator comparison result.

[0063] Water resources management refers to the management of the use, allocation and protection of water resources, including sustainable use of water resources, water use efficiency, pollution control and water source protection. It involves the development and utilization of water resources and protection measures to ensure long-term water security.

[0064] Use the corresponding evaluation sub-information to compare water resource management and set water resource management goals, such as reducing the percentage of water resource waste each year or improving the efficiency of water resource utilization. Evaluate the implementation of actual water resource management, such as water use efficiency, changes in unit water use, or the implementation of water source protection measures. If the actual management effect is lower than the set target, it is necessary to improve the water resource management strategy and record the current comparison status as the indicator comparison result.

[0065] Energy efficiency refers to the economic benefits or energy utilization efficiency generated by unit energy consumption, including indicators such as total energy consumption and energy consumption per unit of GDP. Improving energy efficiency can reduce resource consumption and environmental impact. Emission reduction targets involve greenhouse gases, such as CO2 emission control targets, including setting and achieving targets for reducing greenhouse gas emissions to address global climate change issues.

[0066] Use the corresponding evaluation sub-information to compare energy efficiency and emission reduction targets, set energy efficiency standards, such as energy consumption per unit of GDP should be lower than a certain value, and emission reduction targets, such as the percentage target for reducing greenhouse gas emissions. Calculate the actual energy consumption and energy consumption per unit of GDP for energy efficiency and compare them with the standard value. If the actual energy consumption is higher than the set standard, measures need to be taken to improve energy efficiency. Evaluate the actual greenhouse gas emissions for emission reduction targets and compare them with the set emission reduction targets. If the emissions fail to reach the target, it means that the emission reduction measures are not effective and the strategy needs to be further optimized. Otherwise, it is judged as excellent, and the current comparison status is recorded as the indicator comparison result.

[0067] Economic development potential and social needs include regional economic growth potential, coverage of social public service facilities, and population density.

[0068] Among them, regional economic growth potential refers to the possibility and ability of a region's future economic growth, which is evaluated based on factors such as the region's economic infrastructure, investment environment, industrial development trends, and market potential.

[0069] Use the corresponding evaluation sub-information to compare the regional economic growth potential, including historical economic growth rate, industrial structure diversity, investment attractiveness, etc. Compare the actual regional economic growth rate with the evaluation threshold. For example, if the historical economic growth rate is higher than the preset threshold, it means that the region has a high economic growth potential. Compare the industrial structure diversity index with the predetermined standard requirements to determine whether the region has a diversified economic foundation to support future growth. Record the current comparison status as the indicator comparison result.

[0070] Social public service facilities coverage refers to the distribution and accessibility of public service facilities such as education, medical care, and transportation within the region, which affects the quality of life of residents and the accessibility of social services.

[0071] Use the corresponding evaluation sub-information to compare the coverage of social public service facilities, including the number, distribution density, and coverage of public service facilities, and set the threshold of facility coverage, service quality standards and other evaluation information. Compare the actual facility coverage, such as the number of medical facilities per thousand people, with the set evaluation threshold. If the coverage is lower than the standard value, it indicates that the coverage of public service facilities is not comprehensive enough. Evaluate whether the geographical distribution of facilities meets the requirements to ensure that each major area can get the necessary service support. Record the current comparison status as the indicator comparison result.

[0072] Population density refers to the number of people per unit area. It is an important indicator to measure the degree of population concentration in a region, and it affects resource allocation, infrastructure demand and pressure on social services.

[0073] The corresponding evaluation sub-information is used to compare the population density. The actual population density is calculated by the total population and the regional area, and the standard range of population density is set, such as the number of people per square kilometer. For comparison, the standard range set in the evaluation sub-information is used. For example, if the actual population density is higher than the set maximum standard value, it means that the area may face pressure on resources and infrastructure and requires additional planning and management measures. Otherwise, it is judged as excellent, and the current comparison status is recorded as the indicator comparison result.

[0074] Transportation and infrastructure construction includes transportation network and accessibility, infrastructure coverage and service level, mobile phone density and vehicle flow density.

[0075] Among them, transportation network and accessibility involve the layout and coverage of roads, railways, and public transportation systems, which determine the convenience and efficiency of people and goods moving from one place to another.

[0076] Use the corresponding evaluation sub-information to compare the transportation network and accessibility, including transportation network density, such as the length of roads and railways per unit area, the distribution of major transportation nodes, such as the coverage of major stations and hubs, the coverage and frequency of public transportation, etc. Set the corresponding evaluation sub-information including network density standards, distances between transportation nodes, standards for public transportation services, etc. for evaluation. Compare the actual transportation network density with the set standards. A higher network density usually means better accessibility. Compare the distribution of major transportation nodes to check whether they can effectively cover the main areas. Compare the coverage and frequency of public transportation with the planning standards to ensure that they can meet actual needs. Record the current comparison status as the indicator comparison result.

[0077] Infrastructure coverage and service level refers to the distribution and maintenance of infrastructure such as roads, bridges, and tunnels, which directly affect the safety and convenience of transportation.

[0078] Use the corresponding evaluation sub-information to compare infrastructure coverage and service levels, including infrastructure coverage such as the total length or area of ​​infrastructure, maintenance status of facilities such as the degree of damage to roads, and service availability such as the capacity of bridges and tunnels. Set the corresponding evaluation sub-information including infrastructure coverage standards, maintenance and repair cycles, service level standards, etc. Compare the actual infrastructure coverage with the planned target to evaluate the adequacy of coverage. Compare the maintenance status of facilities and service availability to check whether they meet the set service standards. Record the current comparison status as the indicator comparison result.

[0079] Mobile phone density refers to the number of mobile phones per thousand people in a specific area, reflecting the popularity of communication facilities and the coverage of network services in the area.

[0080] Use the corresponding evaluation sub-information to compare the mobile phone density, including mobile phone penetration rate, such as the number of mobile phones per thousand people, and communication signal coverage, such as signal strength and coverage breadth. Set the corresponding evaluation sub-information including the target value of mobile phone penetration rate and signal coverage standard. Compare the actual mobile phone penetration rate with the set target value to evaluate the popularity of communication facilities. And check the communication signal coverage and standard to ensure that the signal coverage can meet user needs. Record the current comparison status as the indicator comparison result.

[0081] Traffic density measures the volume of vehicles on a road during a specific period of time and its impact on traffic efficiency. High traffic density usually leads to traffic congestion.

[0082] The vehicle density is compared using the corresponding evaluation sub-information, including traffic flow monitoring data, such as the number of vehicles passing per hour, traffic density during peak hours, traffic congestion index, etc. The corresponding evaluation sub-information is set, including the standard for flow monitoring, the threshold of vehicle density, the standard for traffic congestion, etc. The actual traffic flow is compared with the design flow to check whether there is overload, and the peak-hour vehicle density is compared with the set threshold to assess whether congestion occurs. The traffic congestion index is monitored and compared with the preset standard to determine the degree of traffic flow. The current comparison status is recorded as the indicator comparison result.

[0083] Social and cultural protection and landscape planning include cultural protection, landscape protection and beautification.

[0084] Among them, cultural protection refers to the protection and maintenance of ancient buildings, traditional culture and related assets. This includes protecting the destruction of cultural heritage and its inheritance.

[0085] Use the corresponding evaluation sub-information to compare cultural protection, including the number of protection projects, protection status, and the richness of historical and cultural displays, such as museums, exhibitions, etc. Set the corresponding evaluation sub-information including protection and restoration standards, display and education requirements, etc. Compare the number and status of actual protection projects with the protection standards to evaluate the comprehensiveness and effectiveness of protection work. Compare the actual situation of restoration and maintenance with planning requirements to check the quality of protection. Check the richness of cultural displays and education standards to ensure that culture is effectively inherited and displayed. Record the current comparison status as the indicator comparison result.

[0086] As one implementation method, the planning sub-map information is divided into land types according to the index comparison result, and the specific steps of obtaining the division information are as follows:

[0087] Obtain land type information and its corresponding division condition information;

[0088] It is determined whether the index comparison result meets the division condition information. If the index comparison result meets the division condition information, the planning sub-map information is divided into types corresponding to the land type information to obtain the division information.

[0089] Among them, land type information includes agricultural land information, urban construction information, ecological protection information and industrial development information.

[0090] Specifically, after obtaining the land type information, the embodiment of the present application makes a judgment based on the division condition information of the land type information to determine whether the index comparison result meets the division condition. For example, after obtaining the index comparison result, the index comparison result is respectively judged for the division condition information of agricultural land information, urban construction information, ecological protection information, and industrial development information. If one of them meets the condition, the current planning sub-map information is judged to be the land type.

[0091] The determining factors of agricultural land information, that is, the classification condition information, include that the current area is judged to have high cultivated land protection rate and quality, low urban land proportion, good water resources management, and suitable climatic conditions.

[0092] The determining factors of urban construction information, that is, the division condition information, include that the current area is judged to have a high proportion of urban land, high population density, complete transportation network and infrastructure coverage, high mobile phone density and traffic density.

[0093] The determining factors of ecological protection information, that is, the division condition information, include that the current area is judged to have a high proportion of ecological protection land, rich natural landscape and biodiversity, low population density and industrial activities.

[0094] The determinants of industrial development information, namely the classification condition information, include that the current region is judged to have a high proportion of industrial land, strong economic development potential, high energy efficiency and low emission targets, and suitable transportation and infrastructure support.

[0095] When the index comparison result meets the division condition information, the planning sub-map information is divided into the type corresponding to the land type information to obtain the division information. The division information indicates which type the area is divided into and the corresponding regional index information.

[0096] Optimize national land planning to adapt to different land types and significantly improve resource utilization efficiency and environmental protection. Through targeted planning, it can ensure that land is used for the most appropriate purpose, thereby reducing resource waste and environmental damage. At the same time, this approach helps to balance urban development and ecological protection, improve the quality of life of residents and support sustainable economic growth, thereby improving the optimization effect of planning.

[0097] As one implementation mode, the specific steps of dividing the regional index information into the first index information and the second index information according to the division information are as follows:

[0098] According to the division information, the type of the planning sub-map information corresponding to the regional indicator information is determined, and the regional indicator information is divided according to the type of the planning sub-map information to obtain a first indicator information and a plurality of second indicator information.

[0099] Specifically, the first indicator information of the embodiment of the present application is obtained as one, and the second indicator information is the division information after the first indicator information. The second indicator information is used as a secondary indicator, and the optimization construction model is used to obtain the second optimization information on the basis of the first indicator information being used as the main indicator to optimize the construction model to obtain the first optimization information, so that the planning sub-map information can be optimized after considering the main factors, and then the secondary factors are optimized, and the land type is considered. The comprehensive optimization is carried out, and the influence of the main factors and the secondary factors are balanced, so that the national land planning can be optimized to a suitable range, thereby improving the accuracy of the national land space planning.

[0100] As one implementation manner, the specific steps of analyzing the first optimization information and the second optimization information to obtain the optimization score information for optimizing the planning sub-map information include:

[0101] The planning sub-map information is optimized according to the first optimization information to obtain first optimization score information.

[0102] Specifically, in the embodiment of the present application, the first optimization information and the second optimization information optimize the planning sub-map information in steps. First, the first optimization model is constructed according to the first indicator information and the first indicator weight. For example, in the case of hierarchical planning optimization for agricultural areas, preliminary data collection and standardization are first performed to obtain relevant data related to the protection rate and quality of high cultivated land, including soil quality, cultivated land area and other data collection. Data standardization, standardize the data to a unified range, such as 0 to 1, so that different indicators are comparable. At this time, the first optimization model is:

[0103] S primary =w P ·P

[0104] Among them, S primary is the first optimization information, w P is the weight of the cultivated land protection rate, and P is the standardized cultivated land protection rate score. Based on the first optimization information, preliminary optimization is performed to adjust the area to improve the cultivated land protection rate and quality.

[0105] As one implementation manner, the specific steps of analyzing the first optimization information and the second optimization information to obtain the optimization score information for optimizing the planning sub-map information include:

[0106] The planned sub-map information optimized by the first optimization information is optimized according to the second optimization information to obtain second optimization score information.

[0107] Specifically, in the embodiment of the present application, the second optimization index information is used as secondary information to optimize the secondary determinants. For example, in the agricultural area, the second optimization index information is low urban land proportion, good water resource management, and suitable climatic conditions. Obtain relevant data of secondary factors, such as urban land proportion, water resource management score, and climatic conditions. Construct a comprehensive model, and further apply a second model to evaluate secondary factors based on the high arable land protection rate and quality optimization. The second optimization model at this time is:

[0108] S secondary =w U ·U+w w ·W+w c ·C

[0109] Among them, S secondary is the second optimization information, w U is the weight of urban land use, w P is the weight of water resources management, w C is the weight of climate conditions, U is the standardized score of urban land use, P is the standardized score of water resources management, and C is the standardized score of climate conditions.

[0110] The planning sub-map information is optimized in steps by using the first optimization information and the second optimization information, thereby obtaining the optimized planning sub-map information, and the planning sub-map information is judged to obtain optimization score information reflecting the situation.

[0111] In addition to optimizing agricultural areas, the embodiment of the present application also includes urban construction information, and its division condition information includes that the current area is judged to have a high urban land ratio, high population density, complete transportation network and infrastructure coverage, high mobile phone density and vehicle flow density. When dividing the first indicator information and the second indicator information, the high urban land ratio is used as the first indicator information, and the remaining high population density, complete transportation network and infrastructure coverage, high mobile phone density and vehicle flow density are used as the second indicator information.

[0112] The division condition information of ecological protection information also includes that the current area is judged to have a high ecological protection land ratio, rich natural landscapes and biodiversity, low population density and industrial activities. When dividing the first indicator information and the second indicator information, the high ecological protection land ratio is used as the first indicator information, and the remaining rich natural landscapes and biodiversity, low population density and industrial activities are used as the second indicator information.

[0113] The division condition information of industrial development information also includes that the current region is judged to have a high industrial land ratio, strong economic development potential, high energy efficiency and low emission targets, and suitable transportation and infrastructure support. When dividing the first indicator information and the second indicator information, the high industrial land ratio is used as the first indicator information, and the remaining strong economic development potential, high energy efficiency and low emission targets, and suitable transportation and infrastructure support are used as the second indicator information.

[0114] As one implementation mode, it also includes:

[0115] A first constraint value corresponding to the first indicator information is obtained, and when the planning sub-map information is optimized according to the second optimization information, the first indicator information is restricted according to the first constraint value.

[0116] Specifically, in order for the second comprehensive optimization to not affect the first optimization, the embodiment of the present application obtains the first constraint value for limitation.

[0117] Among them, the first constraint value includes a fixed baseline constraint, setting the minimum value constraint of cultivated land protection rate and quality, so that these indicators are not lower than the results of the first optimization in the comprehensive optimization process. For example, in the case of agricultural areas, if the first optimized high cultivated land protection rate is 0.8, then the constraint P≥0.8, where P is the current optimized protection rate.

[0118] The first constraint value can also include regional protection constraints, designating the area after the first optimization as a protected area, and the second optimization can only be adjusted in these areas without affecting the core of the protected area. For example, the optimization model only adjusts secondary factors in areas that meet the high cultivated land protection rate and quality, and the boundaries of the protected area are fixed and cannot be changed.

[0119] The first constraint value can also include the objective function constraint. In the comprehensive optimization model, the weights of high cultivated land protection rate and quality are set to account for the main part, so that the optimization results of this part are given priority.

[0120] The embodiment of the present application also provides a dynamic feedback mechanism so as to find that the optimization of secondary factors has an adverse effect on the protection rate and quality in the case of agricultural areas, and quickly adjust the optimization parameters or redefine the constraints.

[0121] As one implementation mode, it also includes:

[0122] Obtain indicator weight combination information corresponding to the first optimization scoring information and the second optimization scoring information, and perform analysis based on the first optimization scoring information, the second optimization scoring information, and the indicator weight combination information to obtain comprehensive scoring information.

[0123] Specifically, the embodiment of the present application analyzes the first optimization information and the second optimization information, combines the optimization results of the primary and secondary factors, and forms the final comprehensive scoring information:

[0124] S final =α·S primary +(1-α)·S secondary

[0125] Among them, α is the adjustment parameter for the final regional planning adjustment based on the comprehensive evaluation results to achieve the optimization goal.

[0126] Reference Figure 2 , a national land space planning optimization system is provided for an embodiment of the present application, the system comprising:

[0127] An information acquisition module is used to acquire national land space planning information, wherein the national land space planning information includes a number of planning sub-map information and regional indicator information corresponding to the planning sub-map information;

[0128] A comparison and division module is used to compare the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result, and to divide the planning sub-map information into land types according to the indicator comparison result to obtain the division information;

[0129] A planning optimization module, used for dividing the regional indicator information into first indicator information and second indicator information according to the division information, constructing a first optimization model according to the first indicator information and its corresponding first indicator weight, thereby obtaining the first optimization information, and constructing a second optimization model according to the second indicator information and its corresponding second indicator weight, thereby obtaining the second optimization information;

[0130] The analysis and scoring module is used to analyze the first optimization information and the second optimization information to obtain optimization scoring information used to determine the optimization status of the planning sub-map information.

[0131] Specifically, the present application obtains the planning sub-map information in the national land space planning information and the regional indicator information corresponding to the planning sub-map information, compares the regional indicator information and the indicator evaluation information, obtains the indicator comparison result, and classifies the land types of the planning sub-map information according to the indicator comparison result to obtain the classification information of the planning sub-map information, and then divides the regional indicator information into two parts according to the content of the classification information, including first indicator information and second indicator information, the first indicator information is optimized and constructed as the main indicator to obtain the first optimization information, the planning sub-map information is optimized according to the first optimization information, the second indicator information is optimized and constructed as the secondary indicator to obtain the second optimization information, the planning sub-map information is optimized according to the second optimization information, and the first optimization information and the second optimization information are analyzed to obtain the optimization score information used to judge the optimization status of the planning sub-map information, thereby improving the accuracy of the national land space planning.

[0132] As one implementation method, the comparison and division module is used to compare the regional indicator information with the preset indicator evaluation information, and the specific steps of obtaining the indicator comparison result are as follows:

[0133] The regional indicator information includes several indicator sub-information, and the indicator evaluation information includes several evaluation sub-information. The corresponding indicator sub-information and evaluation sub-information are compared to obtain the indicator comparison result reflecting the land situation of the planning sub-map information.

[0134] As one implementation method, the comparison and division module is used to divide the land types of the planning sub-map information according to the index comparison results, and the specific steps of obtaining the division information are:

[0135] Obtain land type information and its corresponding division condition information;

[0136] It is determined whether the index comparison result meets the division condition information. If the index comparison result meets the division condition information, the planning sub-map information is divided into types corresponding to the land type information to obtain the division information.

[0137] As one implementation method, the land type information obtained by the comparison and division module includes agricultural land information, urban construction information, ecological protection information and industrial development information.

[0138] As one implementation method, the specific steps of the planning optimization module dividing the regional indicator information into the first indicator information and the second indicator information according to the division information are as follows:

[0139] According to the division information, the type of the planning sub-map information corresponding to the regional indicator information is determined, and the regional indicator information is divided according to the type of the planning sub-map information to obtain a first indicator information and a plurality of second indicator information.

[0140] As one implementation manner, the planning optimization module analyzes the first optimization information and the second optimization information to obtain the optimization score information for optimizing the planning sub-map information, including:

[0141] The planning sub-map information is optimized according to the first optimization information to obtain first optimization score information.

[0142] As one implementation manner, the planning optimization module analyzes the first optimization information and the second optimization information to obtain the optimization score information for optimizing the planning sub-map information, including:

[0143] The planned sub-map information optimized by the first optimization information is optimized according to the second optimization information to obtain second optimization score information.

[0144] As one implementation method, the analysis and scoring module further includes:

[0145] Used to obtain a first constraint value corresponding to the first indicator information, and when optimizing the planning sub-map information according to the second optimization information, restrict the first indicator information according to the first constraint value.

[0146] As one implementation method, the analysis and scoring module further includes:

[0147] Obtain indicator weight combination information corresponding to the first optimization scoring information and the second optimization scoring information, and perform analysis based on the first optimization scoring information, the second optimization scoring information, and the indicator weight combination information to obtain comprehensive scoring information.

[0148] Reference Figure 3 An embodiment of the present application provides a land space planning optimization device, including a memory and a processor, the memory storing a computer program, and the processor being configured to run the computer program to execute the land space planning optimization method as described above.

[0149] An embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the national land space planning optimization method as described above when running.

[0150] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device and product can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0151] In several embodiments provided in this application, it should be understood that the disclosed methods, systems, devices and program products may be implemented in other ways.

[0152] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0153] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for optimizing national land space planning, characterized in that: include: Acquire national land space planning information, wherein the national land space planning information includes a plurality of planning sub-map information and regional indicator information corresponding to the planning sub-map information; Compare the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result, and classify the land types of the planning sub-map information according to the indicator comparison result to obtain the classification information; According to the division information, the regional indicator information is divided into first indicator information and second indicator information, a first optimization model is constructed according to the first indicator information and its corresponding first indicator weight, thereby obtaining first optimization information, and a second optimization model is constructed according to the second indicator information and its corresponding second indicator weight, thereby obtaining second optimization information; The first optimization information and the second optimization information are analyzed to obtain optimization score information for judging the optimization status of the planning sub-map information.

2. The method for optimizing land space planning according to claim 1, characterized in that: The specific steps of comparing the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result are: Acquire indicator evaluation information, wherein the indicator evaluation information includes a plurality of evaluation sub-information; The evaluation sub-information is compared with the corresponding indicator sub-information in the regional indicator information to obtain an indicator comparison result reflecting the land situation of the planning sub-map information.

3. The method for optimizing land space planning according to claim 1, characterized in that: The specific steps of dividing the land types of the planning sub-map information according to the index comparison results to obtain the division information are as follows: Obtain land type information and its corresponding division condition information; It is determined whether the index comparison result meets the division condition information. If the index comparison result meets the division condition information, the planning sub-map information is divided into types corresponding to the land type information to obtain the division information.

4. The method for optimizing land space planning according to claim 3, characterized in that: The land type information includes agricultural land information, urban construction information, ecological protection information and industrial development information.

5. The method for optimizing land space planning according to claim 3, characterized in that: The specific steps of dividing the regional index information into the first index information and the second index information according to the division information are: According to the division information, the type of the planning sub-map information corresponding to the regional indicator information is determined, and the regional indicator information is divided according to the type of the planning sub-map information to obtain a first indicator information and a plurality of second indicator information.

6. The method for optimizing land space planning according to claim 5, characterized in that: The specific steps of analyzing the first optimization information and the second optimization information to obtain the optimization score information for optimizing the planning sub-map information include: The planning sub-map information is optimized according to the first optimization information to obtain first optimization score information.

7. The method for optimizing land space planning according to claim 6, characterized in that: The specific steps of analyzing the first optimization information and the second optimization information to obtain the optimization score information for optimizing the planning sub-map information include: The planned sub-map information optimized by the first optimization information is optimized according to the second optimization information to obtain second optimization score information.

8. A national land space planning optimization system, characterized in that: include: An information acquisition module is used to acquire national land space planning information, wherein the national land space planning information includes a plurality of planning sub-map information and regional indicator information corresponding to the planning sub-map information; A comparison and division module is used to compare the regional indicator information with the preset indicator evaluation information to obtain the indicator comparison result, and to divide the planning sub-map information into land types according to the indicator comparison result to obtain the division information; A planning optimization module, used for dividing the regional indicator information into first indicator information and second indicator information according to the division information, constructing a first optimization model according to the first indicator information and its corresponding first indicator weight, thereby obtaining the first optimization information, and constructing a second optimization model according to the second indicator information and its corresponding second indicator weight, thereby obtaining the second optimization information; The analysis and scoring module is used to analyze the first optimization information and the second optimization information to obtain optimization scoring information used to determine the optimization status of the planning sub-map information.

9. A national land space planning optimization device, characterized in that: It includes a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute the national land space planning optimization method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the national land space planning optimization method described in any one of claims 1-7 when running.

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