Land space planning intelligent management method and system and storage medium

Abstract

The invention discloses an intelligent management method and system for territorial space planning and a storage medium, and relates to the technical field of space planning, the method adopts a geographic information system (GIS) and multi-source information such as remote sensing data and satellite data to carry out three-dimensional modeling, and an efficient and accurate data support platform is provided for urban space planning. On the basis, environment data, traffic flow data and social influence data of urban areas are collected and integrated in real time by combining an API interface and an urban related system, and comprehensive real-time dynamic data support is provided for decision making. Through real-time simulation and data input, a planner can evaluate potential conflicts and problems among different urban space areas more visually and more accurately, a planning scheme is adjusted in time, and errors and low efficiency caused by information lag or incomplete data in traditional planning are avoided. By implementing the method, the urban planning cycle can be remarkably shortened, and the efficiency and scientificity of planning decision making are improved.

Description

Technical Field

[0001] The present invention relates to the field of space planning technology, and specifically to a national land space planning intelligent management method, system and storage medium. Background Art

[0002] With the acceleration of urbanization, how to effectively utilize limited land resources while reducing negative impacts on the environment has become an important issue that needs to be urgently addressed by countries around the world. In this field, traditional land space planning methods mostly rely on manual design and analysis, lacking real-time data support and dynamic adjustment mechanisms. With the advancement of science and technology, technical means such as geographic information systems (GIS), remote sensing technology, the Internet of Things, and big data analysis have gradually been introduced into the field of land resource management, promoting the realization of intelligent planning. Especially in the detection of land use conflicts, solutions combining multi-source data and intelligent algorithms have become an important means of resolving spatial conflicts, resource conflicts, and environmental problems.

[0003] At present, traditional land space planning methods face many challenges. First, traditional methods often rely on manual experience and static planning schemes, lack flexibility, and are difficult to cope with the rapidly changing urban environment and changing social needs. Secondly, most of the existing planning schemes only focus on the single dimension of geographic space, ignoring the multi-level and multi-factor comprehensive conflict assessment. Especially when dealing with land space use conflicts, it is usually difficult to achieve unified optimization of space and resources, resulting in waste of land resources and unsustainable development of the environment. In addition, due to the lack of effective dynamic monitoring and real-time feedback mechanisms, urban planning often finds it difficult to quickly adapt to environmental changes, resulting in conflicts and resource bottlenecks after the implementation of planning schemes. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method, system and storage medium for intelligent management of national land space planning, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented by the following technical scheme: comprising the following steps:

[0006] S1. Use the Geographic Information System (GIS) to build a three-dimensional model of the current urban space pre-planning area, and use the API application program interface to access the urban area information related systems to collect real space environment data in the urban area in real time, load the real space environment data into the three-dimensional model, simulate the space of the current urban area, and extract the conflict factor data set of the urban area in the real simulated three-dimensional model;

[0007] S2, extracting the geographic center coordinates of the two areas in the three-dimensional model, calculating the spatial distance dij between the two areas, and setting the distance threshold Dt and the obtained spatial distance dij to perform distance evaluation and analyze the distance conflict between the two areas;

[0008] S3. When a conflict is found between the spatial distances of the two regions, the conflict analysis mechanism is triggered. The conflict index algorithm formula is used to calculate the output spatial conflict index Cij based on the current spatial distance dij between the two regions.

[0009] S4, reconstructing the resource conflict prediction algorithm model, and extracting the resource conflict factor data set in the conflict factor data set and inputting it into the resource conflict prediction algorithm model, calculating and outputting the resource conflict index Rij, and then comprehensively calculating the obtained spatial conflict index Cij and the resource conflict index Rij, outputting the comprehensive conflict index Zij, and comprehensively analyzing the conflict situation of land space pre-planning;

[0010] S5. Based on the output result of the obtained comprehensive conflict index Zij, a comprehensive conflict comparison evaluation is performed to detect the comprehensive conflict situation of the current pre-planned land space. When the comprehensive conflict comparison evaluation finds a conflict, an optimization mechanism is executed to optimize the pre-planned spatial area land.

[0011] Preferably, said S1 includes S11, S12 and S13;

[0012] S11, using remote sensing data and satellite data, collecting two-dimensional plane data of the current urban area in real time, the two-dimensional plane data including geographic space data, building information and urban infrastructure data, and loading the two-dimensional plane data into a geographic information system GIS to convert it into three-dimensional information, and constructing a three-dimensional model of the urban space;

[0013] The geospatial data obtains real-time geographic coordinates and location information of the current urban area through remote sensing data;

[0014] The infrastructure data collects the real-time status of public facilities in the current urban area through satellite data;

[0015] The building information is collected through satellite images of satellite data, including the height, area and use information of the building;

[0016] S12. After the three-dimensional model is constructed, the urban area information related systems are respectively connected by setting API applications to collect real space environment data in the urban area in real time, and the real space environment data is loaded into the three-dimensional model of the urban space to simulate the environmental conditions in the current urban area space;

[0017] The urban area information related systems include a traffic system, a meteorological system and a statistical system;

[0018] The real space environment data includes environment data, traffic flow data and social impact data;

[0019] The environmental data is connected to the meteorological system to detect the environmental impact factors of the current urban area in real time, and the environmental impact factors include PM2.5 concentration, noise decibel and carbon dioxide emissions;

[0020] The traffic flow data is collected in real time by accessing the traffic system, such as traffic flow V, vehicle speed Vs, road area Da and traffic congestion data D;

[0021] The social impact data is collected in real time by accessing the statistical system to collect the population density Pd, employment opportunity index Ej and business activity index Ca in the spatial area of ​​the current urban planning.

[0022] Preferably, S13, after the real simulation, the spatial area of ​​the current urban planning and the conflict factor data set within the spatial area are collected in real time through the geographic information system;

[0023] The conflict factor data set includes a spatial conflict data set and a resource conflict data set;

[0024] The spatial conflict data set includes the coordinates (x, y) of the geographic center of the spatial region and the area A of the spatial region;

[0025] The resource conflict data set includes an environmental impact index E, a traffic flow impact index T, and a socio-economic impact index S;

[0026] The environmental impact index E is obtained by quantification based on environmental data, and the specific algorithm formula is: Where n represents the total number of environmental impact factors in the environmental data, h represents the hth environmental impact factor, and w h represents the weight value of the hth environmental impact factor, I h represents the actual measured value of the hth environmental impact factor;

[0027] The traffic flow impact index T is quantitatively obtained through traffic flow data, and the specific algorithm formula is:

[0028]

[0029] The socio-economic impact index S is obtained by quantitatively calculating the social impact data, and the specific algorithm formula is: S=s1·Pd+s2·Ej+s3·Ca, wherein s1, s2 and s3 represent the weight values ​​of population density Pd, employment opportunity index Ej and business activity index Ca respectively.

[0030] Preferably, S2 includes S21 and S22;

[0031] S21, after the real simulation, the spatial distance dij of the two spatial areas is calculated by extracting the spatial area geographic center coordinates (x, y), and the distance between the two spatial areas in the pre-planning is analyzed;

[0032] The spatial distance dij is calculated and obtained by the following distance algorithm formula;

[0033]

[0034] In the formula, x i The horizontal axis coordinates of the geographic center coordinates of the first spatial region, x j The horizontal axis coordinate, y, represents the coordinates of the geographic center of the second spatial region. i The vertical axis coordinate of the geographic center coordinate of the first spatial region, y j The vertical axis coordinates of the geographic center coordinates of the second spatial region;

[0035] S22, based on the safety distance between the land types, set the distance threshold Dt, and perform distance evaluation with the spatial distance dij to analyze the distance conflict between the current two spatial areas. The specific distance evaluation content is as follows;

[0036] When the spatial distance dij ≥ the distance threshold Dt, the geographical midpoints of the two spatial regions are at a safe distance, and the planning is reasonable at this time;

[0037] When the spatial distance dij is less than the distance threshold Dt, the geographical midpoints of the two spatial regions are at an abnormal distance and there is a distance conflict, which triggers the conflict analysis mechanism.

[0038] Preferably, said S3 includes S31;

[0039] S31, when the conflict analysis mechanism is triggered, the spatial distance dij between the two spatial regions currently obtained is combined with the spatial region area A of the two spatial regions, and is input into the conflict index algorithm formula to calculate and output the spatial conflict index Cij to quantify the degree of spatial conflict between the two regions;

[0040] The spatial conflict index Cij is calculated and output by the following conflict index algorithm formula;

[0041]

[0042] Where Ai represents the total land area of ​​the first spatial region, Aj represents the total land area of ​​the second spatial region, Aij represents the overlapping area of ​​the first spatial region and the second spatial region, μ represents the spatial distance adjustment coefficient, and log represents the logarithmic function.

[0043] Preferably, said S4 includes S41 and S42;

[0044] S41, after the conflict analysis mechanism is triggered again, the resource conflict data set is extracted at the same time, and input into the resource conflict prediction algorithm model, and the resource conflict index Rij is calculated and output to predict the resource conflict situation of the two spatial regions;

[0045] The resource conflict index Rij is calculated and output by the following resource conflict prediction algorithm;

[0046]

[0047] In the formula, E i represents the environmental impact index of the first spatial area, E j represents the environmental impact index of the second spatial area, T i represents the traffic flow index of the first spatial area, T j represents the traffic flow index of the second spatial area, S i represents the socioeconomic impact index of the first spatial region, S j represents the socio-economic impact index of the second spatial region, and α, β and γ represent the adjustment coefficients of the environmental impact index E, traffic flow impact index T and socio-economic impact index S of the two spatial regions, respectively.

[0048] Preferably, S42, comprehensively calculating the obtained resource conflict index Rij and space conflict index Cij to output a comprehensive conflict index Zij, and comprehensively analyzing the resource and space conflict situations in the two conflicting space areas;

[0049] The comprehensive conflict index Zij is comprehensively calculated and output by the following algorithm formula:

[0050]

[0051] In the formula, a1 and a2 represent the weight values ​​of the resource conflict index Rij and the space conflict index Cij respectively, and a1+a2=1, and the specific values ​​are set by the user.

[0052] Preferably, said S5 includes S51 and S52;

[0053] S51. Perform comprehensive conflict comparison evaluation based on the output result of the comprehensive conflict index Zij, analyze the comprehensive conflict situation when the distance between the two spatial regions is abnormal, and generate the optimization mechanism execution logic based on the comprehensive conflict comparison result. The specific evaluation contents are as follows;

[0054] When the comprehensive conflict index Zij>0, it means that the resource conflict between the two spatial regions is abnormal, and the resource optimization mechanism is executed at this time;

[0055] When the comprehensive conflict index Zij = 0, it means that there is an abnormality in the spatial distance dij between the two spatial regions, but they are in a balanced state in terms of resource conflict and spatial conflict, and there is no need to execute the optimization mechanism at this time;

[0056] When the comprehensive conflict index Zij is less than 0, it indicates that the spatial conflict between the two spatial regions is abnormal, and the spatial conflict optimization mechanism is executed at this time;

[0057] S52, after comprehensively comparing and evaluating the conflicts to determine the execution resource optimization mechanism and the execution space conflict optimization mechanism, respectively calculate and output the objective function O through the optimization algorithm, wherein the objective function O includes the space objective function O. Cij and resource objective function O Rij , optimize the utilization of land resources and space;

[0058] The spatial objective function O Cij and resource objective function O Rij The output is calculated by the following optimization algorithm;

[0059]

[0060] In the formula, δ represents the adjustment factor, which controls the impact of the overlapping area on the objective function and is used to increase the sensitivity to the conflict of the overlapping area;

[0061] After obtaining the objective function, the ion swarm optimization PSO algorithm is used to adjust the use of land in the spatial area. The position of each particle is initialized according to the existing land use situation in the spatial area and the conflict detection results. The position and speed of the particle are adjusted according to the output result of the objective function O and the conflict situation. Then, through multiple iterations, the spatial conflict and resource conflict in the spatial area are gradually optimized.

[0062] An intelligent management system for national land space planning, comprising a data collection and spatial modeling module, a spatial distance analysis module, a spatial conflict analysis module, a comprehensive conflict analysis module and an optimization module;

[0063] The data collection and spatial modeling module uses the geographic information system GIS to establish a three-dimensional model of the current urban space pre-planning area, and uses the API application program interface to access the urban area information related systems to collect real spatial environment data in the urban area in real time, load the real spatial environment data into the three-dimensional model, simulate the space of the current urban area in reality, and extract the conflict factor data set of the urban area in the real simulated three-dimensional model;

[0064] The spatial distance analysis module extracts the geographic center coordinates of two areas in the three-dimensional model, calculates the spatial distance dij between the two areas, and sets a distance threshold Dt and the obtained spatial distance dij to perform distance evaluation and analyze the distance conflict between the two areas;

[0065] The spatial conflict analysis module triggers the conflict analysis mechanism when identifying that there is a conflict in the spatial distance between two regions, and calculates and outputs the spatial conflict index Cij based on the current spatial distance dij between the two regions through the conflict index algorithm formula;

[0066] The comprehensive conflict analysis module constructs a resource conflict prediction algorithm model, extracts the resource conflict factor data set from the conflict factor data set and inputs it into the resource conflict prediction algorithm model, calculates and outputs the resource conflict index Rij, and then comprehensively calculates the obtained spatial conflict index Cij and the resource conflict index Rij, outputs the comprehensive conflict index Zij, and comprehensively analyzes the conflict situation of land space pre-planning;

[0067] The optimization module performs a comprehensive conflict comparison evaluation based on the output result of the obtained comprehensive conflict index Zij to detect the comprehensive conflict situation of the current pre-planned land space. When the comprehensive conflict comparison evaluation finds a conflict, the optimization mechanism is executed to optimize the pre-planned spatial area land.

[0068] A computer-readable storage medium storing a program executable by a processor, wherein the program executable by the processor is used to implement a method for intelligent management of national land space planning as described in any one of claims 1 to 8 when executed by the processor.

[0069] The present invention provides a method, system and storage medium for intelligent management of national land space planning. It has the following beneficial effects:

[0070] (1) This method uses GIS and multi-source information such as remote sensing data and satellite data for three-dimensional modeling, providing an efficient and accurate data support platform for urban spatial planning. On this basis, combined with the API interface and city-related systems, real-time collection and integration of urban area environmental data, traffic flow data and social impact data provide comprehensive real-time dynamic data support for decision-making. Through these real-time simulations and data inputs, planners can more intuitively and accurately assess potential conflicts and problems between different urban spatial areas, adjust planning schemes in a timely manner, and avoid errors and inefficiencies caused by information lag or incomplete data in traditional planning. The implementation of this method can significantly shorten the urban planning cycle and improve the efficiency and scientificity of planning decisions.

[0071] (2) This method provides a more accurate conflict prediction mechanism through spatial distance evaluation, calculation of spatial conflict index Cij and resource conflict index Rij. First, in the spatial pre-planning stage, the conflict factor data set of different spatial regions is extracted using the three-dimensional model, and the potential spatial conflict area is identified through distance evaluation and conflict analysis mechanism. If the spatial distance conflict is identified, the calculation of the spatial conflict index Cij is triggered to quantify the severity of the spatial conflict. Secondly, by combining environmental impact, traffic flow and socio-economic factors, resource conflict is further predicted, and the resource conflict index Rij is output. It is then combined with the spatial conflict index Cij to obtain the comprehensive conflict index Zij. This comprehensive evaluation can not only identify potential problems at an early stage, but also provide a quantitative basis for the optimization and adjustment of land space, ensuring the rationality of the planning scheme in terms of spatial layout and resource allocation. Through this intelligent conflict prediction and optimization mechanism, conflicts and repeated modifications can be minimized to the greatest extent, avoiding unforeseen adjustments and unstable factors in traditional planning methods, and significantly improving planning accuracy and land use efficiency.

[0072] (3) This method not only has advantages in spatial layout and conflict prediction, but also can effectively promote the sustainable and environmentally friendly development of urban planning. By integrating environmental impact factors, traffic flow and social impact data in the three-dimensional model, it can identify conflicts that may affect environmental quality in advance and avoid planning schemes with excessive environmental load. In addition, in the comprehensive calculation process of resource conflict index Rij and spatial conflict index Cij, the adjustment of factors such as environmental protection, socio-economic impact and traffic flow is combined, which can effectively optimize the allocation of land resources and achieve efficient use of spatial resources. On this basis, the optimization mechanism adjusts the land use according to the results of the comprehensive conflict index, further reduces the waste of land resources, optimizes the efficiency of land use, and promotes the sustainable development of urban space. This method can effectively balance the economic, environmental and social benefits of land use, lay the foundation for the long-term development of the city, and support a green, low-carbon and sustainable urban development model. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 A schematic diagram of the steps of a method for intelligent management of national land space planning according to the present invention;

[0074] Figure 2 This is a schematic diagram of the process of an intelligent management system for national land space planning of the present invention. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] Example 1

[0077] See also Figure 1 The present invention provides a method for intelligent management of national land space planning. To achieve the above purpose, the present invention is implemented through the following technical scheme: comprising the following steps:

[0078] S1. Use the Geographic Information System (GIS) to build a three-dimensional model of the current urban space pre-planning area, and use the API application program interface to access the urban area information related systems to collect real space environment data in the urban area in real time, load the real space environment data into the three-dimensional model, simulate the space of the current urban area, and extract the conflict factor data set of the urban area in the real simulated three-dimensional model;

[0079] S2, extracting the geographic center coordinates of the two areas in the three-dimensional model, calculating the spatial distance dij between the two areas, and setting the distance threshold Dt and the obtained spatial distance dij to perform distance evaluation and analyze the distance conflict between the two areas;

[0080] S3. When a conflict is found between the spatial distances of the two regions, the conflict analysis mechanism is triggered. The conflict index algorithm formula is used to calculate the output spatial conflict index Cij based on the current spatial distance dij between the two regions.

[0081] S4, reconstructing the resource conflict prediction algorithm model, and extracting the resource conflict factor data set in the conflict factor data set and inputting it into the resource conflict prediction algorithm model, calculating and outputting the resource conflict index Rij, and then comprehensively calculating the obtained spatial conflict index Cij and the resource conflict index Rij, outputting the comprehensive conflict index Zij, and comprehensively analyzing the conflict situation of land space pre-planning;

[0082] S5. Based on the output result of the obtained comprehensive conflict index Zij, a comprehensive conflict comparison evaluation is performed to detect the comprehensive conflict situation of the current pre-planned land space. When the comprehensive conflict comparison evaluation finds a conflict, an optimization mechanism is executed to optimize the pre-planned spatial area land.

[0083] In this embodiment, the method first establishes a three-dimensional model of the urban space pre-planning area through the geographic information system GIS, and uses the API application program interface to access various information systems in the urban area, such as the transportation system, the meteorological system and the statistical system, to collect the real spatial environment data of the current urban area in real time, and load these data into the three-dimensional model to perform a real simulation of the spatial area. Through the simulated data, the conflict factor data set of the urban area can be accurately extracted, covering the potential risks of spatial conflict and resource conflict, and providing a basis for subsequent conflict analysis. Then, in the three-dimensional model, by extracting the geographic center coordinates (x, y) of the two spatial areas, the spatial distance dij between the two areas is calculated, and it is compared with the preset distance threshold Dt to perform distance evaluation analysis. If the spatial distance dij does not meet the set threshold, the system will trigger the conflict analysis mechanism, and further quantify the spatial conflict through the spatial conflict index algorithm, output the spatial conflict index Cij, and help decision makers accurately identify the spatial conflict risk between the two areas. On this basis, a resource conflict prediction algorithm model is further constructed, and the relevant resource conflict data set is extracted to calculate and output the resource conflict index Rij. By comprehensively calculating the spatial conflict index and the resource conflict index, a comprehensive conflict index Zij is obtained. This comprehensive conflict index provides a quantitative basis for the comprehensive analysis of the conflict situation in the pre-planning area of ​​urban space. Based on this output result, the system can effectively evaluate the conflict situation in the current planning area. If a conflict is found, the optimization mechanism will be automatically activated to adjust and optimize the pre-planning area. Compared with the existing traditional urban planning methods, traditional urban space planning usually relies on manual evaluation, which is inefficient and prone to errors; this method can achieve more accurate and efficient conflict identification and optimization adjustment by integrating three-dimensional modeling, real-time data acquisition and intelligent algorithms. In this process, the combination of real-time data acquisition and three-dimensional modeling effectively improves the accuracy of spatial conflict analysis, and the calculation of the comprehensive conflict index provides a scientific basis for optimization decision-making.

[0084] Example 2

[0085] This embodiment is explained in Example 1, please refer to Figure 1 , specifically: S1 includes S11, S12 and S13;

[0086] S11. Use remote sensing data and satellite data to collect real-time two-dimensional plane data of the current urban area, the two-dimensional plane data including geographic space data, building information and urban infrastructure data, and load the two-dimensional plane data into the geographic information system GIS to convert it into three-dimensional information to construct a three-dimensional model of the urban space;

[0087] Geospatial data obtains real-time geographic coordinates and location information of the current urban area through remote sensing data;

[0088] Infrastructure data collects the real-time status of public facilities in the current urban area through satellite data;

[0089] Building information: Satellite images from satellite data are used to collect information on building height, area, and use;

[0090] S12. After the three-dimensional model is constructed, the urban area information related systems are respectively connected by setting API applications to collect real space environment data in the urban area in real time, and the real space environment data is loaded into the three-dimensional model of the urban space to simulate the environmental conditions in the current urban area space;

[0091] Urban area information-related systems include transportation systems, meteorological systems, and statistical systems;

[0092] Real space environment data includes environmental data, traffic flow data and social impact data;

[0093] Environmental data is connected to the meteorological system to detect the environmental impact factors of the current urban area in real time, including PM2.5 concentration, noise decibels and carbon dioxide emissions;

[0094] Traffic flow data collects traffic flow V, vehicle speed Vs, road area Da and traffic congestion data D in real time by accessing the traffic system;

[0095] Social impact data is collected in real time by accessing the statistical system to collect the population density Pd, employment opportunity index Ej and business activity index Ca in the spatial area of ​​the current urban planning.

[0096] S13, after the real simulation, the spatial area of ​​the current urban planning and the conflict factor data set within the spatial area are collected in real time through the geographic information system;

[0097] The conflict factor dataset includes spatial conflict dataset and resource conflict dataset;

[0098] The spatial conflict dataset includes the coordinates of the geographic center of the spatial region (x, y) and the area A of the spatial region;

[0099] The resource conflict dataset includes the environmental impact index E, the traffic flow impact index T, and the socio-economic impact index S;

[0100] The environmental impact index E is obtained by quantification based on environmental data. The specific algorithm formula is: Where n represents the total number of environmental impact factors in the environmental data, h represents the hth environmental impact factor, and w h represents the weight value of the hth environmental impact factor, I hrepresents the actual measured value of the hth environmental impact factor;

[0101] The traffic flow impact index T is quantified through traffic flow data, and the specific algorithm formula is:

[0102]

[0103] The socioeconomic impact index S is obtained by quantitative calculation of social impact data. The specific algorithm formula is: S = s1·Pd+s2·Ej+s3·Ca, where s1, s2 and s3 represent the weight values ​​of population density Pd, employment opportunity index Ej and business activity index Ca respectively.

[0104] In this embodiment, the method uses remote sensing and satellite data to collect two-dimensional plane data such as geospatial data, building information and infrastructure data of the current urban area in real time, and converts it into a three-dimensional model, thereby enhancing the accuracy and data basis of the urban space. Then, the system accesses urban information systems such as transportation, meteorology and statistics through an API interface, collects spatial environmental data such as environment, traffic flow and social impact in real time, and forms a true simulation of the urban area. This process can accurately reflect the dynamic changes of the city and provide comprehensive information for decision makers. Finally, the GIS system is used to analyze the environmental data collected in real time, identify the possible spatial and resource conflicts in the urban planning area, generate relevant conflict factor data sets including spatial conflicts and resource conflicts, and provide quantitative support for subsequent conflict analysis.

[0105] Example 3

[0106] This embodiment is explained in Example 2. Please refer to Figure 1 , specifically: S2 includes S21 and S22;

[0107] S21, after the real simulation, the spatial distance dij of the two spatial areas is calculated by extracting the spatial area geographic center coordinates (x, y), and the distance between the two spatial areas in the pre-planning is analyzed;

[0108] The spatial distance dij is calculated by the following distance algorithm formula;

[0109]

[0110] In the formula, x i The horizontal axis coordinates of the geographic center coordinates of the first spatial region, x j The horizontal axis coordinate, y, represents the coordinates of the geographic center of the second spatial region. i The vertical axis coordinate of the geographic center coordinate of the first spatial region, y j The vertical axis coordinates of the geographic center coordinates of the second spatial region;

[0111] S22, based on the safety distance between the land types, set the distance threshold Dt, and perform distance evaluation with the spatial distance dij to analyze the distance conflict between the current two spatial areas. The specific distance evaluation content is as follows;

[0112] When the spatial distance dij ≥ the distance threshold Dt, the geographical midpoints of the two spatial regions are at a safe distance, and the planning is reasonable at this time;

[0113] When the spatial distance dij is less than the distance threshold Dt, the geographical midpoints of the two spatial regions are at an abnormal distance and there is a distance conflict, which triggers the conflict analysis mechanism.

[0114] In this embodiment, after the real simulation, the method can accurately analyze the spatial relationship of the pre-planned area by extracting the geographic center coordinates (x, y) of the two spatial areas and calculating their spatial distance dij. By setting the distance threshold Dt and comparing it with the calculated spatial distance dij, the system can effectively evaluate whether there is a distance conflict between the two areas. If the spatial distance dij is greater than or equal to the distance threshold Dt, it means that the planning of the two areas meets the spatial safety requirements; if it is less than the distance threshold Dt, it indicates that there is a distance conflict and the conflict analysis mechanism is started. Compared with traditional spatial planning methods, this method based on real-time data and precise spatial calculations significantly improves the scientificity and accuracy of planning. It can identify potential spatial conflicts in a timely manner, avoid waste of resources and unreasonable planning, thereby optimizing land use and improving the rationality and sustainability of urban spatial planning.

[0115] Example 4

[0116] This embodiment is explained in Example 3, please refer to Figure 1 , specifically: S3 includes S31;

[0117] S31, when the conflict analysis mechanism is triggered, the spatial distance dij between the two spatial regions currently obtained is combined with the spatial region area A of the two spatial regions, and is input into the conflict index algorithm formula to calculate and output the spatial conflict index Cij to quantify the degree of spatial conflict between the two regions;

[0118] The spatial conflict index Cij is calculated and output by the following conflict index algorithm formula;

[0119]

[0120] Where Ai represents the total land area of ​​the first spatial region, Aj represents the total land area of ​​the second spatial region, Aij represents the overlapping area of ​​the first spatial region and the second spatial region, μ represents the spatial distance adjustment coefficient, and log represents the logarithmic function.

[0121] In this embodiment, after the conflict analysis mechanism is triggered, the system uses a conflict index algorithm to quantitatively analyze the degree of spatial conflict by comprehensively considering the spatial distance dij and the area A of the two spatial regions. By calculating the spatial conflict index Cij, the method can accurately evaluate the overlapping area between the two regions and the degree of spatial conflict. The formula further enhances the sensitivity and accuracy of spatial conflict by comparing the area and the overlapping part of the region and introducing the spatial distance adjustment coefficient and the logarithmic function. Compared with the traditional simple distance evaluation method, this method can more comprehensively and finely identify and quantify spatial conflicts by combining area data and spatial relationships, thereby providing a more scientific and reasonable decision-making basis for urban spatial planning. This improvement not only improves the accuracy of conflict identification, but also provides data support for subsequent spatial optimization and resource allocation, effectively avoiding potential resource waste and unreasonable layout in urban planning, and ultimately improving the efficiency and sustainability of planning.

[0122] Example 5

[0123] This embodiment is explained in Example 2. Please refer to Figure 1 , specifically: S4 includes S41 and S42;

[0124] S41, after the conflict analysis mechanism is triggered again, the resource conflict data set is extracted at the same time, and input into the resource conflict prediction algorithm model, and the resource conflict index Rij is calculated and output to predict the resource conflict situation of the two spatial regions;

[0125] The resource conflict index Rij is calculated and output by the following resource conflict prediction algorithm;

[0126]

[0127] In the formula, E i represents the environmental impact index of the first spatial area, E j represents the environmental impact index of the second spatial area, T i represents the traffic flow index of the first spatial area, T j represents the traffic flow index of the second spatial area, S i represents the socioeconomic impact index of the first spatial region, S j represents the socio-economic impact index of the second spatial region, and α, β and γ represent the adjustment coefficients of the environmental impact index E, traffic flow impact index T and socio-economic impact index S of the two spatial regions, respectively.

[0128] S42, comprehensively calculating the obtained resource conflict index Rij and space conflict index Cij to output a comprehensive conflict index Zij, and comprehensively analyzing the resource and space conflict situations in the two conflicting space areas;

[0129] The comprehensive conflict index Zij is calculated and output by the following algorithm formula;

[0130]

[0131] In the formula, a1 and a2 represent the weight values ​​of the resource conflict index Rij and the space conflict index Cij respectively, and a1+a2=1, and the specific values ​​are set by the user.

[0132] In this embodiment, after the conflict analysis mechanism is triggered, the method extracts the resource conflict data set at the same time, and inputs it into the resource conflict prediction algorithm model to calculate the resource conflict index Rij. The algorithm comprehensively considers multiple factors such as environmental impact index, traffic flow index and socio-economic impact index, and quantifies and predicts different types of resource conflicts through adjustment coefficients. The calculation of the resource conflict index provides a scientific basis for evaluating resource conflicts between urban areas, which helps to identify potential resource competition or over-exploitation problems. Then, by comprehensively calculating the spatial conflict index Cij and the resource conflict index Rij, the comprehensive conflict index Zij is output. This comprehensive index not only effectively integrates the situation of spatial conflict and resource conflict, but also adjusts the relative importance of the two types of conflicts according to the weight value set by the user. Compared with the traditional single conflict analysis method, the advantage of this method is that it can consider conflicts at the spatial and resource levels at the same time, and provide more comprehensive conflict analysis results through comprehensive evaluation. Through this improved analysis framework, urban planning decision makers can more accurately identify potential conflict areas, providing more reliable data support for subsequent planning adjustments and optimization. Compared with existing traditional technical means, this method not only improves the accuracy of conflict analysis, but also enhances the rationality and sustainability of planning decisions. Ultimately, the application of the comprehensive conflict index can effectively avoid waste of resources, reduce environmental pollution and optimize urban space utilization, thereby improving the efficiency and overall quality of urban space planning.

[0133] Example 6

[0134] This embodiment is explained in Example 5. Please refer to Figure 1 , specifically: S5 includes S51 and S52;

[0135] S51. Perform comprehensive conflict comparison evaluation based on the output result of the comprehensive conflict index Zij, analyze the comprehensive conflict situation when the distance between the two spatial regions is abnormal, and generate the optimization mechanism execution logic based on the comprehensive conflict comparison result. The specific evaluation contents are as follows;

[0136] When the comprehensive conflict index Zij>0, it means that the resource conflict between the two spatial regions is abnormal, and the resource optimization mechanism is executed at this time;

[0137] When the comprehensive conflict index Zij = 0, it means that there is an abnormality in the spatial distance dij between the two spatial regions, but they are in a balanced state in terms of resource conflict and spatial conflict, and there is no need to execute the optimization mechanism at this time;

[0138] When the comprehensive conflict index Zij is less than 0, it indicates that the spatial conflict between the two spatial regions is abnormal, and the spatial conflict optimization mechanism is executed at this time;

[0139] S52, after comprehensively comparing and evaluating the execution resource optimization mechanism and the execution space conflict optimization mechanism, the target function O is calculated and outputted through the optimization algorithm. The target function O includes the space target function O. Cij and resource objective function O Rij , optimize the utilization of land resources and space;

[0140] Spatial objective function O Cij and resource objective function O Rij The output is calculated by the following optimization algorithm;

[0141]

[0142] In the formula, δ represents the adjustment factor, which controls the impact of the overlapping area on the objective function and is used to increase the sensitivity to the conflict of the overlapping area;

[0143] After obtaining the objective function, the ion swarm optimization PSO algorithm is used to adjust the use of land in the spatial area. The position of each particle is initialized according to the existing land use situation in the spatial area and the conflict detection results. The position and speed of the particle are adjusted according to the output result of the objective function O and the conflict situation. Then, through multiple iterations, the spatial conflict and resource conflict in the spatial area are gradually optimized.

[0144] In this embodiment, the method is based on the output result of the comprehensive conflict index Zij. The system first performs a comprehensive conflict comparison evaluation, analyzes the conflict situation between the two spatial areas when the spatial distance is abnormal, and generates the execution logic of the optimization mechanism accordingly. Through this evaluation process, the system can effectively judge different conflict states, as follows: when Zij>0, it indicates that the resource conflict is abnormal and the resource optimization mechanism is triggered; when Zij=0, it indicates that the spatial distance is abnormal but the resource and spatial conflicts are relatively balanced and no optimization is required; and when Zij<0, it indicates that the spatial conflict is abnormal and the spatial conflict optimization mechanism is triggered. After executing the resource optimization mechanism or the spatial conflict optimization mechanism, the system calculates the output objective function O through the optimization algorithm, including the spatial objective function O Cij and resource objective function O Rij, in order to optimize the utilization of land resources and space. By introducing the adjustment factor, the system can more accurately control the impact of overlapping areas on the objective function, thereby improving the sensitivity to conflicting areas and the optimization efficiency. The output result of the objective function will be used as the basis for the particle swarm optimization PSO algorithm in the optimization process to further adjust the land use in the spatial area, and finally gradually optimize the spatial layout and resource allocation of the land through multiple iterations. Compared with the traditional spatial optimization method, this method can more finely regulate the resources and conflict problems of urban space through the dual effects of comprehensive conflict assessment and optimization mechanism. Compared with the existing technical means, the improvement of this method lies in that it introduces an automated process of conflict analysis and optimization, and can make real-time adjustments in a dynamic environment. This method not only improves the identification accuracy of spatial and resource conflicts, but also optimizes land use efficiency, reduces unnecessary resource waste, and provides more accurate and efficient decision support for urban planning.

[0145] Example 7

[0146] See also Figure 1 and Figure 2 , an intelligent management system for national land space planning, including a data acquisition and spatial modeling module, a spatial distance analysis module, a spatial conflict analysis module, a comprehensive conflict analysis module and an optimization module;

[0147] The data collection and spatial modeling module uses the geographic information system GIS to establish a three-dimensional model of the current urban space pre-planning area, and uses the API application program interface to access the urban area information related systems to collect real spatial environment data in the urban area in real time, load the real spatial environment data into the three-dimensional model, simulate the space of the current urban area, and extract the conflict factor data set of the urban area in the real simulated three-dimensional model;

[0148] The spatial distance analysis module extracts the geographic center coordinates of two areas in the three-dimensional model, calculates the spatial distance dij between the two areas, and sets the distance threshold Dt and the obtained spatial distance dij to perform distance evaluation and analyze the distance conflict between the two areas;

[0149] The spatial conflict analysis module triggers the conflict analysis mechanism when it identifies that there is a conflict in the spatial distance between two regions. The conflict index algorithm formula is used to calculate the output spatial conflict index Cij based on the current spatial distance dij between the two regions.

[0150] The comprehensive conflict analysis module constructs a resource conflict prediction algorithm model, extracts the resource conflict factor data set from the conflict factor data set, inputs it into the resource conflict prediction algorithm model, calculates and outputs the resource conflict index Rij, and then comprehensively calculates the obtained spatial conflict index Cij and the resource conflict index Rij, outputs the comprehensive conflict index Zij, and comprehensively analyzes the conflict situation of land space pre-planning;

[0151] The optimization module performs a comprehensive conflict comparison evaluation based on the output results of the obtained comprehensive conflict index Zij to detect the comprehensive conflict situation of the current pre-planned land space. When the comprehensive conflict comparison evaluation finds a conflict, the optimization mechanism is executed to optimize the pre-planned spatial area land.

[0152] A computer-readable storage medium storing a program executable by a processor, wherein the program executable by the processor is used to implement a method for intelligent management of national land space planning as described in any one of claims 1 to 8 when executed by the processor.

[0153] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for intelligent management of national land space planning, characterized in that: The following steps are involved: S1. Use the Geographic Information System (GIS) to build a three-dimensional model of the current urban space pre-planning area, and use the API application program interface to access the urban area information related systems to collect real space environment data in the urban area in real time, load the real space environment data into the three-dimensional model, simulate the space of the current urban area, and extract the conflict factor data set of the urban area in the real simulated three-dimensional model; S2, extracting the geographic center coordinates of the two areas in the three-dimensional model, calculating the spatial distance dij between the two areas, and setting the distance threshold Dt and the obtained spatial distance dij to perform distance evaluation and analyze the distance conflict between the two areas; S3. When a conflict is found between the spatial distances of the two regions, the conflict analysis mechanism is triggered. The conflict index algorithm formula is used to calculate the output spatial conflict index Cij based on the current spatial distance dij between the two regions. S4, reconstructing the resource conflict prediction algorithm model, and extracting the resource conflict factor data set in the conflict factor data set and inputting it into the resource conflict prediction algorithm model, calculating and outputting the resource conflict index Rij, and then comprehensively calculating the obtained spatial conflict index Cij and the resource conflict index Rij, outputting the comprehensive conflict index Zij, and comprehensively analyzing the conflict situation of land space pre-planning; S5. Based on the output result of the obtained comprehensive conflict index Zij, a comprehensive conflict comparison evaluation is performed to detect the comprehensive conflict situation of the current pre-planned land space. When the comprehensive conflict comparison evaluation finds a conflict, an optimization mechanism is executed to optimize the pre-planned spatial area land.

2. The method for intelligent management of national land space planning according to claim 1, characterized in that: Said S1 includes S11, S12 and S13; S11, using remote sensing data and satellite data, collecting two-dimensional plane data of the current urban area in real time, the two-dimensional plane data including geographic space data, building information and urban infrastructure data, and loading the two-dimensional plane data into a geographic information system GIS to convert it into three-dimensional information, and constructing a three-dimensional model of the urban space; The geospatial data obtains real-time geographic coordinates and location information of the current urban area through remote sensing data; The infrastructure data collects the real-time status of public facilities in the current urban area through satellite data; The building information is collected through satellite images of satellite data, including the height, area and use information of the building; S12. After the three-dimensional model is constructed, the urban area information related systems are respectively connected by setting API applications to collect real space environment data in the urban area in real time, and the real space environment data is loaded into the three-dimensional model of the urban space to simulate the environmental conditions in the current urban area space; The urban area information related systems include a traffic system, a meteorological system and a statistical system; The real space environment data includes environment data, traffic flow data and social impact data; The environmental data is connected to the meteorological system to detect the environmental impact factors of the current urban area in real time, and the environmental impact factors include PM2.5 concentration, noise decibels and carbon dioxide emissions; The traffic flow data is collected in real time by accessing the traffic system, such as traffic flow V, vehicle speed Vs, road area Da and traffic congestion data D; The social impact data is collected in real time by accessing the statistical system to collect the population density Pd, employment opportunity index Ej and business activity index Ca in the spatial area of ​​the current urban planning.

3. The method for intelligent management of national land space planning according to claim 2, characterized in that: S13, after the real simulation, the spatial area of ​​the current urban planning and the conflict factor data set within the spatial area are collected in real time through the geographic information system; The conflict factor data set includes a spatial conflict data set and a resource conflict data set; The spatial conflict data set includes the coordinates (x, y) of the geographic center of the spatial region and the area A of the spatial region; The resource conflict data set includes an environmental impact index E, a traffic flow impact index T, and a socio-economic impact index S.

4. The method for intelligent management of national land space planning according to claim 3, characterized in that: The S2 includes S21 and S22; S21, after the real simulation, the spatial distance dij of the two spatial areas is calculated by extracting the spatial area geographic center coordinates (x, y), and the distance between the two spatial areas in the pre-planning is analyzed; The spatial distance dij is calculated and obtained by the following distance algorithm formula; In the formula, x i The horizontal axis coordinates of the geographic center coordinates of the first spatial region, x j The horizontal axis coordinate, y, represents the coordinates of the geographic center of the second spatial region. i The vertical axis coordinate of the geographic center coordinate of the first spatial region, y j The vertical axis coordinates of the geographic center coordinates of the second spatial region; S22, based on the safety distance between the land types, set the distance threshold Dt, and perform distance evaluation with the spatial distance dij to analyze the distance conflict between the current two spatial areas. The specific distance evaluation content is as follows; When the spatial distance dij ≥ the distance threshold Dt, the geographical midpoints of the two spatial regions are at a safe distance, and the planning is reasonable at this time; When the spatial distance dij is less than the distance threshold Dt, the geographical midpoints of the two spatial regions are at an abnormal distance and there is a distance conflict, which triggers the conflict analysis mechanism.

5. The method for intelligent management of national land space planning according to claim 4, characterized in that: The S3 includes S31; S31, when the conflict analysis mechanism is triggered, the spatial distance dij between the two spatial regions currently obtained is combined with the spatial region area A of the two spatial regions, and is input into the conflict index algorithm formula to calculate and output the spatial conflict index Cij to quantify the degree of spatial conflict between the two regions; The spatial conflict index Cij is calculated and output by the following conflict index algorithm formula; Where Ai represents the total land area of ​​the first spatial region, Aj represents the total land area of ​​the second spatial region, Aij represents the overlapping area of ​​the first spatial region and the second spatial region, μ represents the spatial distance adjustment coefficient, and log represents the logarithmic function.

6. The method for intelligent management of national land space planning according to claim 1, characterized in that: The S4 includes S41 and S42; S41, after the conflict analysis mechanism is triggered again, the resource conflict data set is extracted at the same time, and input into the resource conflict prediction algorithm model, and the resource conflict index Rij is calculated and output to predict the resource conflict situation of the two spatial regions; The resource conflict index Rij is calculated and output by the following resource conflict prediction algorithm; In the formula, E i represents the environmental impact index of the first spatial area, E j represents the environmental impact index of the second spatial area, T i represents the traffic flow index of the first spatial area, T j represents the traffic flow index of the second spatial area, S i represents the socioeconomic impact index of the first spatial region, S j represents the socio-economic impact index of the second spatial region, and α, β and γ represent the adjustment coefficients of the environmental impact index E, traffic flow impact index T and socio-economic impact index S of the two spatial regions, respectively.

7. The method for intelligent management of national land space planning according to claim 6, characterized in that: S42, comprehensively calculating the obtained resource conflict index Rij and space conflict index Cij to output a comprehensive conflict index Zij, and comprehensively analyzing the resource and space conflict situations in the two conflicting space areas; The comprehensive conflict index Zij is comprehensively calculated and output by the following algorithm formula: In the formula, a1 and a2 represent the weight values ​​of the resource conflict index Rij and the space conflict index Cij respectively, and a1+a2=1, and the specific values ​​are set by the user.

8. The method for intelligent management of national land space planning according to claim 6, characterized in that: The S5 includes S51 and S52; S51. Perform comprehensive conflict comparison evaluation based on the output result of the comprehensive conflict index Zij, analyze the comprehensive conflict situation when the distance between the two spatial regions is abnormal, and generate the optimization mechanism execution logic based on the comprehensive conflict comparison result. The specific evaluation contents are as follows; When the comprehensive conflict index Zij>0, the resource optimization mechanism is executed; When the comprehensive conflict index Zij = 0, there is no need to execute the optimization mechanism; When the comprehensive conflict index Zij is less than 0, the spatial conflict optimization mechanism is executed; S52, after comprehensively comparing and evaluating the conflicts to determine the execution resource optimization mechanism and the execution space conflict optimization mechanism, respectively calculate and output the objective function O through the optimization algorithm, wherein the objective function O includes the space objective function O. Cij and resource objective function O Rij , optimize the utilization of land resources and space; The spatial objective function O Cij and resource objective function O Rij The output is calculated by the following optimization algorithm; In the formula, δ represents the adjustment factor; After obtaining the objective function, the ion swarm optimization PSO algorithm is used to adjust the use of land in the spatial area. The position of each particle is initialized according to the existing land use situation in the spatial area and the conflict detection results. The position and speed of the particle are adjusted according to the output result of the objective function O and the conflict situation. Then, through multiple iterations, the spatial conflict and resource conflict in the spatial area are gradually optimized.

9. A national land space planning intelligent management system, applied to a national land space planning intelligent management method according to any one of claims 1 to 8, characterized in that: It includes data collection and spatial modeling module, spatial distance analysis module, spatial conflict analysis module, comprehensive conflict analysis module and optimization module; The data collection and spatial modeling module uses the geographic information system GIS to establish a three-dimensional model of the current urban space pre-planning area, and uses the API application program interface to access the urban area information related systems to collect real spatial environment data in the urban area in real time, load the real spatial environment data into the three-dimensional model, simulate the space of the current urban area in reality, and extract the conflict factor data set of the urban area in the real simulated three-dimensional model; The spatial distance analysis module extracts the geographic center coordinates of two areas in the three-dimensional model, calculates the spatial distance dij between the two areas, and sets a distance threshold Dt and the obtained spatial distance dij to perform distance evaluation and analyze the distance conflict between the two areas; The spatial conflict analysis module triggers the conflict analysis mechanism when identifying that there is a conflict in the spatial distance between two regions, and calculates and outputs the spatial conflict index Cij based on the current spatial distance dij between the two regions through the conflict index algorithm formula; The comprehensive conflict analysis module constructs a resource conflict prediction algorithm model, extracts the resource conflict factor data set from the conflict factor data set and inputs it into the resource conflict prediction algorithm model, calculates and outputs the resource conflict index Rij, and then comprehensively calculates the obtained spatial conflict index Cij and the resource conflict index Rij, outputs the comprehensive conflict index Zij, and comprehensively analyzes the conflict situation of land space pre-planning; The optimization module performs a comprehensive conflict comparison evaluation based on the output result of the obtained comprehensive conflict index Zij to detect the comprehensive conflict situation of the current pre-planned land space. When the comprehensive conflict comparison evaluation finds a conflict, the optimization mechanism is executed to optimize the pre-planned spatial area land.

10. A computer-readable storage medium storing a program executable by a processor, characterized in that: The processor executable program is used to implement a land space planning intelligent management method as described in any one of claims 1 to 8 when executed by the processor.

Images