Urban industrial land updating method and system based on space planning elements, terminal and storage medium

Abstract

The invention relates to the technical field of data updating, and discloses an urban industrial land updating method and system based on spatial planning elements, a terminal and a storage medium, and the method comprises the steps: obtaining urban industrial land information of a target city, determining key index information according to the urban industrial land information, and constructing a multi-target evaluation framework; acquiring an urban industrial land updating demand, performing variable formulation to obtain a plurality of decision variables, and constructing an industrial land updating scheme; matching a plurality of optimization objectives according to the multi-objective evaluation framework, setting constraint conditions, and performing scheme optimization according to all the optimization objectives and the constraint conditions to obtain a scheme optimization result; and performing scheme confirmation on the scheme optimization result to obtain a target update scheme, and updating the urban industrial land to obtain a land update result. According to the method, quantitative correlation between the spatial planning elements and the targets can be effectively constructed, so that an optimal updating scheme is provided, and the utilization rate of urban industrial land is improved.

Description

Technical Field

[0001] This invention relates to the field of data update technology, and in particular to a method, system, terminal, and computer-readable storage medium for updating urban industrial land based on spatial planning elements. Background Technology

[0002] As urban development enters a phase of stock renewal, industrial land, as a crucial urban spatial resource, is vital for optimizing land allocation, promoting industrial upgrading, and achieving green and low-carbon development. However, industrial land renewal involves complex land-use planning, with its core challenge lying in reconciling conflicting objectives across spatial planning elements. Therefore, how to quantitatively assess and systematically coordinate conflicting objectives at the project scale to optimize the allocation of spatial planning elements is a key challenge that needs to be addressed in current industrial land renewal.

[0003] However, existing technologies have significant limitations in addressing this challenge. First, regarding scale adaptability, current land use optimization studies tend to focus on the macro-scale of cities or regions to emphasize overall benefit balance, but are difficult to directly apply to industrial zone renewal at the project scale. Second, in terms of objective quantification and correlation modeling, there is a lack of operable quantitative modeling of objectives, and the quantitative correlation between spatial planning elements and objectives has not been effectively constructed, making it difficult to accurately predict the impact of planning adjustments on multiple objectives. Third, in terms of decision-making regarding optimization results, there is a lack of efficient decision support mechanisms, making it impossible to select the optimal solution that meets actual needs, resulting in insufficient interpretability and implementability of optimization results.

[0004] Therefore, existing technologies still need to be improved and developed. Summary of the Invention

[0005] The main objective of this invention is to provide a method, system, terminal, and storage medium for urban industrial land renewal based on spatial planning elements, aiming to solve the problem that existing technologies cannot provide optimal urban industrial land renewal solutions, resulting in low utilization rates of urban industrial land.

[0006] To achieve the above objectives, the present invention provides a method for urban industrial land renewal based on spatial planning elements, the method comprising the following steps: Obtain urban industrial land information of the target city, determine key indicator information based on the urban industrial land information, and construct a corresponding multi-objective evaluation framework based on the key indicator information. Obtain the urban industrial land renewal needs of the target city, formulate variables based on the urban industrial land renewal needs to obtain multiple decision variables, and construct a scheme based on all the decision variables to obtain an industrial land renewal scheme. The multi-objective evaluation framework is used to match objectives to obtain multiple optimization objectives, and constraints are set. The industrial land renewal scheme is then optimized based on all the optimization objectives and constraints to obtain the scheme optimization result. The optimization results of the proposed scheme are confirmed to obtain the target update scheme. The urban industrial land of the target city is then updated according to the target update scheme to obtain the land use update result.

[0007] Optionally, in the urban industrial land renewal method based on spatial planning elements, the key indicator information includes economic benefit indicators, low-carbon development indicators, environmental comfort indicators, and industrial development indicators. The process of acquiring urban industrial land information of the target city, determining key indicator information based on the urban industrial land information, and constructing a corresponding multi-objective evaluation framework based on the key indicator information specifically includes: Obtain urban industrial land information of the target city, calculate indicators based on the economic benefit information of the urban industrial land information to obtain economic benefit indicators, and calculate indicators based on the building function combination information of the urban industrial land information to obtain low-carbon development indicators. Based on the land type information of the urban industrial land information, an environmental comfort index is calculated, and based on the industrial land area of ​​the urban industrial land information, an industrial development index is calculated. Based on the economic benefit indicators, the low-carbon development indicators, the environmental comfort indicators, and the industrial development indicators, a corresponding multi-objective evaluation framework set is constructed.

[0008] Optionally, in the urban industrial land renewal method based on spatial planning elements, the step of calculating indicators based on the economic benefit information of the urban industrial land information specifically includes: ; The calculation of indicators based on the building function combination information of the urban industrial land information is specifically as follows: ; The calculation of indicators based on the land type information of the urban industrial land information is specifically as follows: ; The calculation of indicators based on the industrial land area according to the urban industrial land information is specifically as follows: ; in, As an economic benefit indicator, This represents the total number of land use types in industrial land renewal projects. For the first Information on the unit price of similar buildings. For the first Area of ​​land use type For the first The plot ratio corresponding to the land use type. For the first Land price per unit area for different land use types For the first Information on the cost per unit area of ​​this type of building. As a low-carbon development indicator, For the first Annual carbon emission intensity per unit area of ​​building type For the first Service life of such buildings The carbon absorption coefficient of green space. In accordance with the maximum land use term for the project, As an indicator of environmental comfort, For the area of ​​land used for public facilities buildings, The plot ratio for land used for public facilities buildings. Total building area This refers to the area of ​​green space. The area of ​​road land, The total land area is As an indicator of industrial development, This refers to the area of ​​the factory land. The plot ratio is the floor area ratio of the land used for factory buildings.

[0009] Optionally, the urban industrial land renewal method based on spatial planning elements, wherein obtaining the urban industrial land renewal needs of the target city, formulating variables based on the urban industrial land renewal needs to obtain multiple decision variables, and constructing a scheme based on all the decision variables to obtain an industrial land renewal scheme, specifically includes: Obtain the urban industrial land renewal needs of the target city, and extract the urban land use types of the target city based on the urban industrial land renewal needs; The urban land use types are divided to obtain multiple target land use properties, and all target land use properties are further refined to obtain multiple subdivided functional spaces; Variables are defined based on all the subdivided functional spaces to obtain decision variable information, and an industrial land renewal plan is obtained based on the decision variable information. The decision variable information includes a first number of functional land use ratio variables and a second number of plot ratio variables.

[0010] Optionally, in the urban industrial land renewal method based on spatial planning elements, the constraints include a first constraint and a second constraint. The process involves matching objectives according to the multi-objective evaluation framework to obtain multiple optimization objectives, setting constraints, and performing multi-objective optimization of the industrial land renewal scheme based on all the optimization objectives and constraints to obtain the scheme optimization result. Specifically, this includes: Based on the multi-objective evaluation framework, the key indicator information is matched to obtain multiple optimization objectives, and the functional land use ratio variable and the plot ratio variable are constrained respectively to obtain the first constraint condition and the second constraint condition. The optimizer is defined according to all the optimization objectives to obtain the optimization solver, and the optimization solver is constrained according to the first constraint and the second constraint to obtain the target optimization solver. The industrial land renewal scheme is simulated multiple times using the target optimization solver to obtain multiple scheme solution sets. Frequency statistics are performed on all scheme solution sets to obtain statistical results, and the scheme optimization results are obtained based on the statistical results.

[0011] Optionally, the urban industrial land renewal method based on spatial planning elements, wherein the step of confirming the scheme optimization results to obtain the target renewal scheme specifically includes: The evaluation index data of each updated scheme in the optimization results are standardized to obtain multiple standardized data, and a standardized matrix is ​​constructed based on all the standardized data. The information entropy is obtained by calculating the index entropy value based on the standardized matrix, and the weight is obtained by calculating the weight coefficient based on the information entropy. The weight coefficient is then combined with the standardized matrix to obtain the weighted matrix. Determine the ideal solution of the weighted matrix, calculate the Euclidean distance between each update scheme and the ideal solution, obtain the Euclidean distance calculation result, and obtain the corresponding relative proximity information based on the Euclidean distance calculation result; Sort all relative proximity scores in the relative proximity information in descending order to obtain the sorting result, and obtain the optimal relative proximity score in the sorting result. Then, take the update scheme corresponding to the optimal relative proximity score as the target update scheme.

[0012] Optionally, in the urban industrial land renewal method based on spatial planning elements, the step of calculating the index entropy value based on the standardized matrix specifically involves: ; ; The weights are calculated based on the information entropy, specifically as follows: ; The corresponding relative proximity information is obtained based on the Euclidean distance calculation results, specifically: ; in, For the first Information entropy of an optimization objective To update the number of schemes, For the first Under the optimization objective, the first... The feature proportions of each update scheme The target value of the standardized matrix, For the first The weighting coefficients of each optimization objective. The number of evaluation indicators, For the first Information entropy of an optimization objective For the first A relative degree of closeness, For the first The Euclidean distance of a negative ideal solution For the first The Euclidean distance of a positive ideal solution.

[0013] Optionally, the urban industrial land renewal method based on spatial planning elements includes a system comprising: The information acquisition module is used to acquire urban industrial land information of the target city, determine key indicator information based on the urban industrial land information, and construct a corresponding multi-objective evaluation framework based on the key indicator information. The scheme construction module is used to obtain the urban industrial land renewal needs of the target city, formulate variables based on the urban industrial land renewal needs to obtain multiple decision variables, and construct a scheme based on all the decision variables to obtain an industrial land renewal scheme. The scheme optimization module is used to perform target matching according to the multi-objective evaluation framework to obtain multiple optimization targets, set constraints, and perform multi-objective optimization of the industrial land renewal scheme according to all the optimization targets and constraints to obtain the scheme optimization result. The land use renewal module is used to confirm the optimization results of the scheme, obtain the target renewal scheme, and renew the urban industrial land of the target city according to the target renewal scheme to obtain the land use renewal result.

[0014] Furthermore, to achieve the above objectives, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and an urban industrial land renewal program based on spatial planning elements stored in the memory and executable on the processor, wherein when the urban industrial land renewal program based on spatial planning elements is executed by the processor, it implements the steps of the urban industrial land renewal method based on spatial planning elements as described above.

[0015] Furthermore, to achieve the above objectives, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores an urban industrial land renewal program based on spatial planning elements, and when the urban industrial land renewal program based on spatial planning elements is executed by a processor, it implements the steps of the urban industrial land renewal method based on spatial planning elements as described above.

[0016] In this invention, urban industrial land information of a target city is acquired, key indicator information is determined based on the urban industrial land information, and a corresponding multi-objective evaluation framework is constructed based on the key indicator information. The urban industrial land renewal needs of the target city are acquired, variables are defined based on the urban industrial land renewal needs to obtain multiple decision variables, and a scheme is constructed based on all the decision variables to obtain an industrial land renewal scheme. Objective matching is performed according to the multi-objective evaluation framework to obtain multiple optimization objectives, and constraints are set. The industrial land renewal scheme is then optimized based on all the optimization objectives and the constraints to obtain the scheme optimization result. The scheme optimization result is confirmed to obtain the target renewal scheme, and the urban industrial land of the target city is renewed according to the target renewal scheme to obtain the land renewal result. This invention achieves refined multi-objective collaborative optimization of land use at the project scale by optimizing the land renewal scheme through multiple objectives; and through a quantitative control mechanism of key planning elements such as plot ratio, it effectively coordinates conflicts between objectives to effectively construct a quantitative correlation between spatial planning elements and objectives, thereby providing the best renewal scheme and improving the utilization rate of urban industrial land. Attached Figure Description

[0017] Figure 1 This is a flowchart of a preferred embodiment of the urban industrial land renewal method based on spatial planning elements of the present invention; Figure 2 This is a schematic diagram of the optimized NSGA-II algorithm in a preferred embodiment of the present invention; Figure 3 This is a structural diagram of a preferred embodiment of the urban industrial land renewal system based on spatial planning elements of the present invention; Figure 4 This is a structural diagram of a preferred embodiment of the terminal of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0020] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0021] The preferred embodiment of the urban industrial land renewal method based on spatial planning elements of the present invention, such as... Figure 1 As shown, the urban industrial land renewal method based on spatial planning elements includes the following steps: Step S10: Obtain urban industrial land information of the target city, determine key indicator information based on the urban industrial land information, and construct a corresponding multi-objective evaluation framework based on the key indicator information.

[0022] Specifically, addressing the challenge that existing technologies are difficult to directly apply to industrial land renewal at the project scale and fail to effectively establish quantitative relationships between spatial planning elements and objectives, leading to difficulties in accurately predicting the impact of industrial land on multiple objectives when adjusting urban industrial land renewal planning schemes, thus failing to provide optimal urban industrial land renewal solutions and resulting in low utilization rates of urban industrial land, this invention proposes an urban industrial land renewal method based on spatial planning elements. By comprehensively considering two types of spatial planning elements—area and floor area ratio—it determines land use schemes that meet different planning objectives, thereby improving the utilization rate of urban industrial land. The specific process involves obtaining urban industrial land information for the target city (e.g., City A). First, based on common planning needs and decision-making conflicts in industrial land redevelopment practices, key indicator information is determined. This key indicator information includes four key indicators: economic benefit indicators, low-carbon development indicators, environmental comfort indicators, and industrial development indicators. All four key indicators are based on the area and floor area ratio of the land use type. By combining actual data on industrial land in City A, key parameters are clarified and quantitative expressions are established, laying the foundation for subsequent multi-objective optimization.

[0023] For economic benefit indicators, economic benefit is the most core evaluation target in land use planning. Reasonable profit is related to the feasibility of project implementation. In this embodiment of the invention, the developer's total economic profit is used as the core indicator for measuring economic benefit, defined as the difference between sales revenue and total project cost. That is, the indicator is calculated based on the economic benefit information of the urban industrial land information, and the corresponding expression is: ; in, As an economic benefit indicator, This represents the total number of land use types in industrial land renewal projects. For the first Information on the unit price of similar buildings. For the first Area of ​​land use type For the first The plot ratio corresponding to the land use type. For the first Land price per unit area for different land use types For the first Information on the unit area cost of this type of building.

[0024] The low-carbon development index is guided by low-carbon development principles. It balances functional needs with total carbon emissions through the scientific allocation of different building function combinations and green spaces, laying the foundation for the green transformation of industrial zones. Buildings are the main source of greenhouse gas emissions, accounting for approximately 38% of all carbon emissions, while building operation carbon emissions account for 60% to 80% of building-related emissions. In this embodiment of the invention, the total carbon emissions related to buildings are calculated using the comprehensive energy intensity method, and the carbon emission factor method is used to calculate the carbon sink of green spaces. That is, the index is calculated based on the building function combination information of the urban industrial land information to obtain the low-carbon development index, and the corresponding expression is: ; in, As a low-carbon development indicator, For the first Annual carbon emission intensity per unit area of ​​building type For the first Service life of such buildings This refers to the area of ​​green space. The carbon absorption coefficient of green space. This is in accordance with the maximum land use term for the project.

[0025] The environmental comfort index aims to create a better environmental quality for the planned area. Existing research uses the ratio of the total land area of ​​public facilities, green spaces, plazas, and roads to the total building area of ​​residential, commercial, and business office buildings to represent environmental quality; however, this ratio has limitations due to the use of two different measurement bases: land area and building area. In this embodiment of the invention, based on the proportional structure of land use types and plot ratio parameters, a method is proposed to use the proportion of green space and road land in the total land area, combined with the proportion of public service buildings in the total building area, as a measure of environmental comfort. A higher proportion indicates a higher level of environmental comfort. That is, the environmental comfort index is calculated based on the land type information of the urban industrial land information, and the corresponding expression is: ; in, As an indicator of environmental comfort, For the area of ​​land used for public facilities buildings, The plot ratio for land used for public facilities buildings. Total building area The area of ​​road land, This represents the total land area.

[0026] For industrial development indicators, land use planning should reserve sufficient space for industrial development in industrial zones, optimize industrial layout, and thus enhance the sustainable development capacity of the regional economy. The industrial development indicators are calculated based on the industrial land area information of the aforementioned city, and the corresponding expression is: ; in, As an indicator of industrial development, For industrial land area, This refers to the plot ratio for industrial land.

[0027] However, significant conflicts exist among the four key indicators. Developers, with profit maximization as their core objective, typically tend to develop high-return commercial and residential land, while simultaneously increasing the economic value of the land by raising the plot ratio. However, intensive commercial and residential development often leads to a reduction in industrial land, weakening the region's industrial function and negatively impacting the city's long-term economic structure optimization and sustainable development. Meanwhile, relevant departments, in order to achieve environmental benefit goals, often require projects to increase green space ratios, construct public facilities, and improve environmental quality through energy conservation and emission reduction measures, but this conflicts with developers' profit maximization goals. How to establish a coordination mechanism amidst these conflicting objectives and how to scientifically quantify the impact of various parties' needs on planning goals are the core challenges in updating urban industrial land use planning. Therefore, this invention constructs a multi-objective evaluation framework based on economic benefit indicators, low-carbon development indicators, environmental comfort indicators, and industrial development indicators to evaluate the performance of different land use schemes on the four key indicators, thereby assisting decision-makers in finding a balance among the interests of various parties.

[0028] Step S20: Obtain the urban industrial land renewal needs of the target city, formulate variables based on the urban industrial land renewal needs to obtain multiple decision variables, and construct a scheme based on all the decision variables to obtain an industrial land renewal scheme.

[0029] Specifically, based on the land use characteristics and planning needs of urban industrial land renewal, and using the area ratio and plot ratio of land use type as core decision variables, the process involves: obtaining the urban industrial land renewal needs of the target city; extracting the urban land use types of the target city based on these needs, whereby the urban land use types include residential building land, commercial and office building land, factory land, and public facility building land; classifying the urban land use types to obtain multiple target land use properties; and then using the building footprint area decomposition method to analyze all the target land use properties. The target land use is refined to obtain multiple subdivided functional spaces, including the footprint of residential buildings, the footprint of commercial complexes and office buildings, the footprint of production buildings, the footprint of public facilities buildings, open green spaces without covered buildings, and transportation infrastructure land. Variables are formulated based on all these subdivided functional spaces to obtain decision variable information. This decision variable information includes a first number (e.g., 6) of functional land use proportion variables and a second number (e.g., 4) of plot ratio variables. The 6 functional land use proportion variables are the proportion of residential building land area. The proportion of land area for commercial and office buildings The proportion of land area occupied by factory buildings The proportion of land area used for public facilities buildings The proportion of green space in the total area and the proportion of land occupied by roads The four plot ratio variables are the plot ratio of residential building land. Plot ratio of commercial and office building land Floor area ratio of factory land Floor area ratio of land used for public facilities buildings Among them, the green space area and road area are allocated to the corresponding legal land use type according to their proportions using the building footprint area weighting method. The corresponding expression is: ; in, For the first Area of ​​land use type For the first The area corresponding to the variable of land use category ratio. For the first The variable representing the proportion of land used for different functions. This refers to the area of ​​green space. The area of ​​land used for roads; of which, The calculation formula is: ; in, The total land area is then determined. Subsequently, an industrial land renewal plan is constructed based on the first number of functional land use ratio variables and the second number of plot ratio variables.

[0030] Step S30: Perform target matching according to the multi-objective evaluation framework to obtain multiple optimization targets, set constraints, and perform multi-objective optimization on the industrial land renewal scheme according to all the optimization targets and constraints to obtain the scheme optimization result.

[0031] Specifically, based on the multi-objective evaluation framework, the key indicator information is matched to obtain multiple optimization objectives, including developer profit. Carbon emissions Environmental comfort and industrial development space Constraints need to be set because their purpose is to ensure that the industrial land renewal scheme generated by the multi-objective optimization algorithm is not only mathematically optimal but also highly feasible and operable in actual engineering projects. By forcibly limiting the range of decision variables through constraints, it is ensured that the land renewal scheme meets the corresponding requirements (e.g., minimum green space ratio, road land ratio), and invalid solutions that are technically infeasible or economically unreasonable (e.g., schemes with excessively high development intensity or missing key functions) are excluded, thus guaranteeing the rationality and legitimacy of the results. Furthermore, reasonable constraints can significantly reduce the algorithm's search space, guiding the optimization process to converge efficiently to a high-quality solution set region. Specifically, constraints are applied to the functional land use ratio variable and the plot ratio variable to obtain the first constraint and the second constraint; wherein, the first constraint is: ; , , ; , , ; The second constraint is: , ; , ; In addition, since the total land area and total building area must remain unchanged, it is necessary to restrict the area of ​​factory land and the area of ​​residential building land: ; .

[0032] Subsequently, an optimizer is defined based on all the stated optimization objectives to obtain an optimization solver. In this embodiment of the invention, NSGA-II (Non-dominated Sorting Genetic Algorithm II) is used as the optimization solver, where the search direction of the NSGA-II algorithm is directly driven by all the stated optimization objectives. Simultaneously, the search space of the NSGA-II algorithm is limited by constraints to ensure that all generated industrial land renewal schemes meet compliance and technical feasibility requirements. The constrained NSGA-II algorithm (i.e., the objective optimization solver) is used to perform multi-objective optimization on the industrial land renewal schemes at the project scale, obtaining a set of Pareto optimal solutions (i.e., industrial land renewal schemes). The industrial land renewal schemes are characterized by land use function proportions and floor area ratios. Each Pareto solution represents an industrial land renewal scheme that satisfies different objective trade-offs. The corresponding optimization process is as follows: Figure 2 As shown, specifically, to further improve the stability of solution sets and the reliability of results in multi-objective optimization, a strategy of multiple independent runs based on multiple random seeds (a seed is a term in computer science referring to the initial value used to initialize a pseudo-random number generator; by setting different random seeds, the algorithm can be controlled to generate different, reproducible random initial populations) is implemented. Specifically, 100 different random seeds (seed values ​​ranging from 0 to 10000) are set, and the NSGA-II algorithm is run independently for each seed to generate a set of Pareto solutions (i.e., solution sets). Multiple independent runs help reduce the interference of initial population randomness on the results and improve the stability and representativeness of the optimization results. After completing 100 independent runs, all generated Pareto solution sets are merged, and the frequency of each Pareto solution set in the overall solution set is counted. Pareto solution sets with higher frequencies represent stronger stability and a higher probability of being selected in multiple optimization processes. This invention selects the Pareto solution sets with a preset ranking (e.g., the top 300 in frequency ranking) as the final Pareto optimal solution set (i.e., the solution optimization result) for subsequent decision analysis.

[0033] Step S40: Confirm the optimization results of the proposed scheme to obtain the target update scheme, and update the urban industrial land of the target city according to the target update scheme to obtain the land use update result.

[0034] Specifically, considering that the actual planning process requires selecting the most comprehensively advantageous land use renewal scheme (i.e., the target renewal scheme) from the final Pareto optimal solution set, this embodiment of the invention introduces the entropy-weighted TOPSIS method (a multi-attribute decision-making method combining the entropy-weighted method and the TOPSIS method (a ranking method that approximates the ideal solution)) to rank the Pareto solutions in the final Pareto optimal solution set. Specifically, let the final Pareto optimal solution set have a total of There are Pareto solutions, and each Pareto solution has... There are four evaluation indicators (i.e., four optimization objectives). The first step, due to the different dimensions of each indicator (e.g., developer profits in monetary units, carbon emissions in mass units), is to standardize the original values ​​to eliminate the influence of dimensions. For benefit-type indicators (e.g., developer profits, environmental comfort, and industrial development space, the larger the corresponding original values, the better) and cost-type indicators (e.g., carbon emissions, the smaller the corresponding original values, the better), the evaluation indicator data for each updated scheme in the optimization results are standardized to obtain multiple standardized data.

[0035] For benefit-type indicators, the corresponding standardized formula is: ; For cost-related indicators, the corresponding standardized formula is: ; in, As a benefit-oriented indicator, For the first The update scheme is in the first The original values ​​on the optimization objective, For the first The original values ​​of the optimization objectives, For the first The minimum value of an optimization objective. For the first The maximum value of each optimization objective. This is a cost-type indicator; subsequently, a standardized matrix is ​​constructed based on all the standardized data, and the corresponding expression is: ; in, The standardized target value, This is the standardized value of the first update scheme on the first optimization objective. For the first update scheme in the The standardized value over the optimization objective. For the first The standardized value of each update scheme on the first optimization objective. For the first The update scheme is in the first The standardized value on the optimization objective.

[0036] The second step is to calculate the index entropy value based on the standardized matrix to obtain the information entropy, the corresponding expression of which is: ; ; in, For the first Information entropy of an optimization objective To update the number of schemes, For the first Under the optimization objective, the first... The feature proportion of each update scheme.

[0037] The third step is to calculate the weights based on the information entropy to obtain the weight coefficients, the corresponding expression of which is: ; in, For the first The weight coefficient of each optimization objective is a factor in the overall evaluation. The larger the weight coefficient, the more important the optimization objective is in the overall evaluation. The number of evaluation indicators, For the first The information entropy of the optimization objective.

[0038] The fourth step is to combine the weighting coefficients with the standardized matrix to obtain a weighted matrix, the corresponding expression of which is: ; ; in, For weighted matrices, The element in the first row and first column of the weighted matrix. The first row of the weighted matrix Column elements, The first in the weighted matrix The element in the first column of the row, The first in the weighted matrix Line 1 Column elements, The first in the weighted matrix Line 1 The elements of the column.

[0039] The fifth step is to determine the ideal solution of the weighted matrix, wherein the ideal solution includes a positive ideal solution and a negative ideal solution, and the expression for the positive ideal solution is: ; The expression for the negative ideal solution is: ; in, For the positive ideal solution, The first optimization objective (developer profit) is to maximize the value among all update options. The second optimization objective (carbon emissions) is to minimize the value among all renewal options. The third optimization objective (environmental comfort) is to be the maximum value among all update schemes. The fourth optimization objective (industrial development space) is the maximum value among all update schemes. For a negative ideal solution, The first optimization objective is to minimize the value among all possible solutions. The second optimization objective is to maximize the value among all update schemes. The third optimization objective is to minimize the value among all update schemes. The fourth optimization objective is to minimize the value among all update schemes.

[0040] The sixth step is to calculate the Euclidean distance between each updated solution and the ideal solution to obtain the Euclidean distance calculation result, wherein the Euclidean distance calculation result includes the Euclidean distance of the positive ideal solution and the Euclidean distance of the negative ideal solution. The expression for the Euclidean distance of the positive ideal solution is: ; The expression for the Euclidean distance of the negative ideal solution is: ; in, For the first The Euclidean distance of a positive ideal solution For the first The optimization objective is to maximize the value among all update schemes. For the first The Euclidean distance of a negative ideal solution For the first The optimization objective is to find the minimum value among all update schemes; then, based on the Euclidean distance calculation results, the corresponding relative proximity information is obtained, and the corresponding expression is: ; in, This is information about relative proximity.

[0041] Next, all relative proximity scores in the relative proximity information are sorted in descending order to obtain the sorting results. Since a larger relative proximity score indicates a better overall performance of the update scheme, the optimal relative proximity score in the sorting results is obtained, and the update scheme corresponding to the optimal relative proximity score is taken as the target update scheme. Finally, the urban industrial land in the target city is updated according to the target update scheme to obtain the land use update results. The target update scheme achieves a relatively reasonable synergistic balance among various optimization objectives, avoids extreme trade-offs under the guidance of a single optimization objective, and improves the utilization rate of urban industrial land.

[0042] Furthermore, such as Figure 3 As shown, based on the above-mentioned urban industrial land renewal method based on spatial planning elements, the present invention also provides an urban industrial land renewal system based on spatial planning elements, wherein the urban industrial land renewal system based on spatial planning elements includes: The information acquisition module 51 is used to acquire urban industrial land information of the target city, determine key indicator information based on the urban industrial land information, and construct a corresponding multi-objective evaluation framework based on the key indicator information. The scheme construction module 52 is used to obtain the urban industrial land renewal needs of the target city, formulate variables based on the urban industrial land renewal needs to obtain multiple decision variables, and construct a scheme based on all the decision variables to obtain an industrial land renewal scheme. The scheme optimization module 53 is used to perform target matching according to the multi-objective evaluation framework to obtain multiple optimization targets, set constraints, and perform multi-objective optimization of the industrial land renewal scheme according to all the optimization targets and constraints to obtain the scheme optimization result. The land use renewal module 54 is used to confirm the optimization results of the scheme, obtain the target renewal scheme, and renew the urban industrial land of the target city according to the target renewal scheme to obtain the land use renewal result.

[0043] Furthermore, such as Figure 4 As shown, based on the above-mentioned urban industrial land renewal method based on spatial planning elements, the present invention also provides a terminal, which includes a processor 10, a memory 20 and a display 30. Figure 4 Only some of the terminal components are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0044] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory. In other embodiments, the memory 20 may be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc. Further, the memory 20 may include both internal and external storage devices. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code installed on the terminal. The memory 20 can also be used to temporarily store data that has been output or will be output. In one embodiment, the memory 20 stores an urban industrial land renewal program 40 based on spatial planning elements. This urban industrial land renewal program 40 based on spatial planning elements can be executed by the processor 10, thereby implementing the urban industrial land renewal method based on spatial planning elements in this application.

[0045] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory 20 or process data, such as executing the urban industrial land renewal method based on spatial planning elements.

[0046] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display 30 is used to display information on the terminal and to display a visual user interface.

[0047] In one embodiment, when processor 10 executes the urban industrial land renewal program 40 based on spatial planning elements in memory 20, the following steps are performed: Obtain urban industrial land information of the target city, determine key indicator information based on the urban industrial land information, and construct a corresponding multi-objective evaluation framework based on the key indicator information. Obtain the urban industrial land renewal needs of the target city, formulate variables based on the urban industrial land renewal needs to obtain multiple decision variables, and construct a scheme based on all the decision variables to obtain an industrial land renewal scheme. The multi-objective evaluation framework is used to match objectives to obtain multiple optimization objectives, and constraints are set. The industrial land renewal scheme is then optimized based on all the optimization objectives and constraints to obtain the scheme optimization result. The optimization results of the proposed scheme are confirmed to obtain the target update scheme. The urban industrial land of the target city is then updated according to the target update scheme to obtain the land use update result.

[0048] The key indicators include economic benefit indicators, low-carbon development indicators, environmental comfort indicators, and industrial development indicators. The process of acquiring urban industrial land information of the target city, determining key indicator information based on the urban industrial land information, and constructing a corresponding multi-objective evaluation framework based on the key indicator information specifically includes: Obtain urban industrial land information of the target city, calculate indicators based on the economic benefit information of the urban industrial land information to obtain economic benefit indicators, and calculate indicators based on the building function combination information of the urban industrial land information to obtain low-carbon development indicators. Based on the land type information of the urban industrial land information, an environmental comfort index is calculated, and based on the industrial land area of ​​the urban industrial land information, an industrial development index is calculated. A multi-objective evaluation framework is constructed based on the economic benefit indicators, the low-carbon development indicators, the environmental comfort indicators, and the industrial development indicators.

[0049] Specifically, the calculation of indicators based on the economic benefit information of the urban industrial land information includes: ; The calculation of indicators based on the building function combination information of the urban industrial land information is specifically as follows: ; The calculation of indicators based on the land type information of the urban industrial land information is specifically as follows: ; The calculation of indicators based on the industrial land area according to the urban industrial land information is specifically as follows: ; in, As an economic benefit indicator, This represents the total number of land use types in industrial land renewal projects. For the first Information on the unit price of similar buildings. For the first Area of ​​land use type For the first The plot ratio corresponding to the land use type. For the first Land price per unit area for different land use types For the first Information on the cost per unit area of ​​this type of building. As a low-carbon development indicator, For the first Annual carbon emission intensity per unit area of ​​building type For the first Service life of such buildings The carbon absorption coefficient of green space. In accordance with the maximum land use term for the project, As an indicator of environmental comfort, For the area of ​​land used for public facilities buildings, The plot ratio for land used for public facilities buildings. Total building area This refers to the area of ​​green space. The area of ​​road land, The total land area is As an indicator of industrial development, This refers to the area of ​​the factory land. The plot ratio is the floor area ratio of the land used for factory buildings.

[0050] The process of obtaining the urban industrial land renewal needs of the target city, formulating variables based on these needs to obtain multiple decision variables, and constructing a scheme based on all these decision variables to obtain an industrial land renewal scheme specifically includes: Obtain the urban industrial land renewal needs of the target city, and extract the urban land use types of the target city based on the urban industrial land renewal needs; The urban land use types are divided to obtain multiple target land use properties, and all target land use properties are further refined to obtain multiple subdivided functional spaces; Variables are defined based on all the subdivided functional spaces to obtain decision variable information, and an industrial land renewal plan is obtained based on the decision variable information. The decision variable information includes a first number of functional land use ratio variables and a second number of plot ratio variables.

[0051] The constraints include a first constraint and a second constraint. The process involves matching objectives according to the multi-objective evaluation framework to obtain multiple optimization objectives, setting constraints, and performing multi-objective optimization of the industrial land renewal scheme based on all the optimization objectives and constraints to obtain the scheme optimization result. Specifically, this includes: Based on the multi-objective evaluation framework, the key indicator information is matched to obtain multiple optimization objectives, and the functional land use ratio variable and the plot ratio variable are constrained respectively to obtain the first constraint condition and the second constraint condition. The optimizer is defined according to all the optimization objectives to obtain the optimization solver, and the optimization solver is constrained according to the first constraint and the second constraint to obtain the target optimization solver. The industrial land renewal scheme is simulated multiple times using the target optimization solver to obtain multiple scheme solution sets. Frequency statistics are performed on all scheme solution sets to obtain statistical results, and the scheme optimization results are obtained based on the statistical results.

[0052] Specifically, the step of confirming the optimization results of the proposed scheme to obtain the target update scheme includes: The evaluation index data of each updated scheme in the optimization results are standardized to obtain multiple standardized data, and a standardized matrix is ​​constructed based on all the standardized data. The information entropy is obtained by calculating the index entropy value based on the standardized matrix, and the weight is obtained by calculating the weight coefficient based on the information entropy. The weight coefficient is then combined with the standardized matrix to obtain the weighted matrix. Determine the ideal solution of the weighted matrix, calculate the Euclidean distance between each update scheme and the ideal solution, obtain the Euclidean distance calculation result, and obtain the corresponding relative proximity information based on the Euclidean distance calculation result; Sort all relative proximity scores in the relative proximity information in descending order to obtain the sorting result, and obtain the optimal relative proximity score in the sorting result. Then, take the update scheme corresponding to the optimal relative proximity score as the target update scheme.

[0053] Specifically, the calculation of the index entropy value based on the standardized matrix includes: ; ; The weights are calculated based on the information entropy, specifically as follows: ; The corresponding relative proximity information is obtained based on the Euclidean distance calculation results, specifically: ; in, For the first Information entropy of an optimization objective To update the number of schemes, For the first Under the optimization objective, the first... The feature proportions of each update scheme The target value of the standardized matrix, For the first The weighting coefficients of each optimization objective. The number of evaluation indicators, For the first Information entropy of an optimization objective For the first A relative degree of closeness, For the first The Euclidean distance of a negative ideal solution For the first The Euclidean distance of a positive ideal solution.

[0054] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores an urban industrial land renewal program based on spatial planning elements, and the urban industrial land renewal program based on spatial planning elements, when executed by a processor, implements the steps of the urban industrial land renewal method based on spatial planning elements as described above.

[0055] In summary, this invention provides a method, system, terminal, and storage medium for urban industrial land renewal based on spatial planning elements. The method includes: acquiring urban industrial land information of a target city; determining key indicator information based on the urban industrial land information; and constructing a corresponding multi-objective evaluation framework based on the key indicator information; acquiring urban industrial land renewal needs of the target city; formulating variables based on the urban industrial land renewal needs to obtain multiple decision variables; constructing a scheme based on all the decision variables to obtain an industrial land renewal scheme; performing target matching based on the multi-objective evaluation framework to obtain multiple optimization objectives; setting constraints; performing multi-objective optimization on the industrial land renewal scheme based on all the optimization objectives and the constraints to obtain an optimization result; confirming the optimization result to obtain a target renewal scheme; and updating the urban industrial land of the target city based on the target renewal scheme to obtain a land renewal result. This invention not only considers single features or local spatial relationships in time series but also takes into account the long-term and short-term trends and complex spatial structures of social networks, thereby significantly improving the accuracy of link prediction in social networks and enhancing the personalization effect of user recommendations.

[0056] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0057] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The computer-readable storage medium can be a memory, magnetic disk, optical disk, etc.

[0058] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A method for urban industrial land renewal based on spatial planning elements, characterized in that, The urban industrial land renewal method based on spatial planning elements includes: Obtain urban industrial land information of the target city, determine key indicator information based on the urban industrial land information, and construct a corresponding multi-objective evaluation framework based on the key indicator information. Obtain the urban industrial land renewal needs of the target city, formulate variables based on the urban industrial land renewal needs to obtain multiple decision variables, and construct a scheme based on all the decision variables to obtain an industrial land renewal scheme. The multi-objective evaluation framework is used to match objectives to obtain multiple optimization objectives, and constraints are set. The industrial land renewal scheme is then optimized based on all the optimization objectives and constraints to obtain the scheme optimization result. The optimization results of the proposed scheme are confirmed to obtain the target update scheme. The urban industrial land of the target city is then updated according to the target update scheme to obtain the land use update result.

2. The urban industrial land renewal method based on spatial planning elements according to claim 1, characterized in that, The key indicators include economic benefit indicators, low-carbon development indicators, environmental comfort indicators, and industrial development indicators. The process of acquiring urban industrial land information of the target city, determining key indicator information based on the urban industrial land information, and constructing a corresponding multi-objective evaluation framework based on the key indicator information specifically includes: Obtain urban industrial land information of the target city, calculate indicators based on the economic benefit information of the urban industrial land information to obtain economic benefit indicators, and calculate indicators based on the building function combination information of the urban industrial land information to obtain low-carbon development indicators. Based on the land type information of the urban industrial land information, an environmental comfort index is calculated, and based on the industrial land area of ​​the urban industrial land information, an industrial development index is calculated. A multi-objective evaluation framework is constructed based on the economic benefit indicators, the low-carbon development indicators, the environmental comfort indicators, and the industrial development indicators.

3. The urban industrial land renewal method based on spatial planning elements according to claim 2, characterized in that, The calculation of indicators based on the economic benefit information of the urban industrial land information is specifically as follows: ； The calculation of indicators based on the building function combination information of the urban industrial land information is specifically as follows: ； The calculation of indicators based on the land type information of the urban industrial land information is specifically as follows: ； The calculation of indicators based on the industrial land area according to the urban industrial land information is specifically as follows: ； in, As an economic benefit indicator, This represents the total number of land use types in industrial land renewal projects. For the first Information on the unit price of similar buildings. For the first Area of ​​land use type For the first The plot ratio corresponding to the land use type. For the first Land price per unit area for different land use types For the first Information on the cost per unit area of ​​this type of building. As a low-carbon development indicator, For the first Annual carbon emission intensity per unit area of ​​building type For the first Service life of such buildings The carbon absorption coefficient of green space. In accordance with the maximum land use term for the project, As an indicator of environmental comfort, For the area of ​​land used for public facilities buildings, The plot ratio for land used for public facilities buildings. Total building area This refers to the area of ​​green space. The area of ​​road land, The total land area is As an indicator of industrial development, This refers to the area of ​​the factory land. The plot ratio is the floor area ratio of the land used for factory buildings.

4. The urban industrial land renewal method based on spatial planning elements according to claim 1, characterized in that, The process involves obtaining the urban industrial land renewal needs of the target city, formulating variables based on these needs to obtain multiple decision variables, and constructing a scheme based on all these decision variables to obtain an industrial land renewal scheme. Specifically, this includes: Obtain the urban industrial land renewal needs of the target city, and extract the urban land use types of the target city based on the urban industrial land renewal needs; The urban land use types are divided to obtain multiple target land use properties, and all target land use properties are further refined to obtain multiple subdivided functional spaces; Variables are defined based on all the subdivided functional spaces to obtain decision variable information, and an industrial land renewal plan is obtained based on the decision variable information. The decision variable information includes a first number of functional land use ratio variables and a second number of plot ratio variables.

5. The urban industrial land renewal method based on spatial planning elements according to claim 4, characterized in that, The constraints include a first constraint and a second constraint. The process involves matching objectives according to the multi-objective evaluation framework to obtain multiple optimization objectives, setting constraints, and performing multi-objective optimization of the industrial land renewal scheme based on all the optimization objectives and constraints to obtain the scheme optimization result. Specifically, this includes: Based on the multi-objective evaluation framework, the key indicator information is matched to obtain multiple optimization objectives, and the functional land use ratio variable and the plot ratio variable are constrained respectively to obtain the first constraint condition and the second constraint condition. The optimizer is defined according to all the optimization objectives to obtain the optimization solver, and the optimization solver is constrained according to the first constraint and the second constraint to obtain the target optimization solver. The industrial land renewal scheme is simulated multiple times using the target optimization solver to obtain multiple scheme solution sets. Frequency statistics are performed on all scheme solution sets to obtain statistical results, and the scheme optimization results are obtained based on the statistical results.

6. The urban industrial land renewal method based on spatial planning elements according to claim 1, characterized in that, The step of confirming the optimization results of the proposed scheme to obtain the target update scheme specifically includes: The evaluation index data of each updated scheme in the optimization results are standardized to obtain multiple standardized data, and a standardized matrix is ​​constructed based on all the standardized data. The information entropy is obtained by calculating the index entropy value based on the standardized matrix, and the weight is obtained by calculating the weight coefficient based on the information entropy. The weight coefficient is then combined with the standardized matrix to obtain the weighted matrix. Determine the ideal solution of the weighted matrix, calculate the Euclidean distance between each update scheme and the ideal solution, obtain the Euclidean distance calculation result, and obtain the corresponding relative proximity information based on the Euclidean distance calculation result; Sort all relative proximity scores in the relative proximity information in descending order to obtain the sorting result, and obtain the optimal relative proximity score in the sorting result. Then, take the update scheme corresponding to the optimal relative proximity score as the target update scheme.

7. The urban industrial land renewal method based on spatial planning elements according to claim 6, characterized in that, The calculation of the index entropy value based on the standardized matrix is ​​specifically as follows: ； ； The weights are calculated based on the information entropy, specifically as follows: ； The corresponding relative proximity information is obtained based on the Euclidean distance calculation results, specifically: ； in, For the first Information entropy of an optimization objective To update the number of schemes, For the first Under the optimization objective, the first... The feature proportions of each update scheme The target value of the standardized matrix, For the first The weighting coefficients of each optimization objective. The number of evaluation indicators, For the first Information entropy of an optimization objective For the first A relative degree of closeness, For the first The Euclidean distance of a negative ideal solution For the first The Euclidean distance of a positive ideal solution.

8. A system for the renewal of urban industrial land based on spatial planning elements, characterized in that, The urban industrial land renewal system based on spatial planning elements includes: The information acquisition module is used to acquire urban industrial land information of the target city, determine key indicator information based on the urban industrial land information, and construct a corresponding multi-objective evaluation framework based on the key indicator information. The scheme construction module is used to obtain the urban industrial land renewal needs of the target city, formulate variables based on the urban industrial land renewal needs to obtain multiple decision variables, and construct a scheme based on all the decision variables to obtain an industrial land renewal scheme. The scheme optimization module is used to perform target matching according to the multi-objective evaluation framework to obtain multiple optimization targets, set constraints, and perform multi-objective optimization of the industrial land renewal scheme according to all the optimization targets and constraints to obtain the scheme optimization result. The land use renewal module is used to confirm the optimization results of the scheme, obtain the target renewal scheme, and renew the urban industrial land of the target city according to the target renewal scheme to obtain the land use renewal result.

9. A terminal, characterized in that, The terminal includes a memory, a processor, and a program stored in the memory and executable on the processor. When executed by the processor, the program implements the steps of the urban industrial land renewal method based on spatial planning elements as 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, which stores an urban industrial land renewal program based on spatial planning elements. When the urban industrial land renewal program based on spatial planning elements is executed by a processor, it implements the steps of the urban industrial land renewal method based on spatial planning elements as described in any one of claims 1-7.

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