A spatial layout method suitable for urban renewal construction
By dividing vertical composite monitoring grids and sensing data in real time during urban renewal, a dynamic feedback system is constructed, which solves the problem of lack of multi-dimensional objective game balance and micro-environment assessment in existing technologies, and realizes the resilience and ecological integration of urban renewal space.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 范雪华
- Filing Date
- 2026-02-28
- Publication Date
- 2026-06-09
AI Technical Summary
Existing spatial layout methods for urban renewal lack game-theoretic balance of multi-dimensional objectives and multi-scenario simulation. They are unable to conduct cross-dimensional correlation simulation of traffic flow, population activity flow and ecological benefits, resulting in a lack of spatial resilience and dynamic adaptability in response to the rapid iteration of urban functions. Furthermore, they neglect the assessment of microenvironmental metabolic coupling under vertical composite spatial interfaces, leading to local microenvironmental deterioration or spatial sensory alienation.
By dividing the vertical composite monitoring grid using 3D modeling technology, real-time data on urban road traffic flow, building energy efficiency, and the connectivity of underground space facilities are sensed. A dynamic feedback system is constructed, and the vertical composite space metabolic coupling analysis is used to calculate the vertical space obstruction ratio, spatial metabolic attenuation coefficient, and connectivity disorder, thereby realizing cross-dimensional correlation simulation and dynamic control and outputting layout optimization strategies.
It significantly enhances the spatial resilience and flexible iteration capability of urban renewal plans, ensuring that the renewed space achieves ecological integration and metabolic balance at the micro level on the basis of macro-rationality, and avoids the deterioration of local micro-environment.
Smart Images
Figure CN122174638A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of electronic digital data processing technology, specifically a spatial layout method applicable to urban renewal construction. Background Technology
[0002] Urban renewal originated from the renovation of old cities in the mid-20th century and has undergone a transformation from "large-scale demolition and construction" to "organic renewal" and "micro-renovation." Early spatial layout methods focused on the simple reshaping of physical space and functional zoning; as cities have entered the stock era, it has now evolved into a complex system that integrates big data, GIS simulation and multi-dimensional value evaluation, and increasingly emphasizes the precise allocation of resources and the refined improvement of spatial quality.
[0003] In the prior art, CN116776432A discloses a spatial layout method suitable for urban renewal construction, which includes urban roads, underground space facilities, pedestrian overpass facilities, urban water systems, and road greening facilities. The urban roads are symmetrically distributed and have a median strip in the middle. The median strip can be planted with road greening. The pedestrian roads are flanked by existing block buildings, and each block building has an entrance / exit to a basement on one side. This spatial layout method for urban renewal construction differs from existing spatial layout methods for urban renewal construction. First, it understands the urban layout renewal goals and the actual needs of renewal: it conducts a survey and analysis of residents' travel in a designated area, combines the existing situation, re-plans the urban roads, and formulates a reasonable engineering construction plan and construction sequence. It actively communicates with the community to establish the correct construction time and informs them of the construction details, which can better understand residents' needs. At the same time, it actively communicates to ensure the construction cycle, thereby improving construction efficiency.
[0004] However, existing technologies follow a linear logic of "current situation survey - static design - construction implementation," lacking game-theoretic balance of multi-dimensional objectives and multi-scenario simulation. Although the comparative document mentions satisfaction surveys and data collection, its layout method is essentially a mechanical physical accumulation of elements such as transportation, greening, and buildings, failing to establish a dynamic feedback mechanism between various spatial elements. In actual updates, it is often impossible to conduct cross-dimensional correlation simulations of traffic flow, pedestrian activity flow, and ecological benefits, resulting in a lack of necessary spatial resilience and dynamic adaptability when dealing with rapid iterations of urban functions, easily leading to the predicament of "planning becoming outdated."
[0005] Meanwhile, existing technologies neglect the "microenvironmental metabolic coupling assessment under vertical composite spatial interfaces." Although the comparative documents mention elevation design, lighting, and underground space connectivity, they only focus on physical dimensional avoidance and compliance, failing to conduct in-depth quantitative analysis of the comprehensive impact of the "underground-surface-aerial" multi-layered space on microclimate (such as funneling effect and heat island aggravation), groundwater continuity, and biological migration corridors under highly composite conditions. This technological shortcoming means that while the updated layout may seem reasonable on a macro level, at the micro level, the physical interfaces may obstruct energy and material flows, leading to local microenvironmental deterioration or spatial sensory alienation, resulting in a lack of deep ecological integration in the updated space. Summary of the Invention
[0006] The purpose of this invention is to provide a spatial layout method suitable for urban renewal construction, so as to solve the problems mentioned in the background art.
[0007] To achieve the above objectives, the present invention provides the following technical solution:
[0008] A spatial layout method suitable for urban renewal construction includes the following steps:
[0009] Step 1: Update the multi-dimensional grid division of the area. Pre-acquire the urban renewal construction area and divide the construction area into several groups of vertical composite monitoring grids including underground, surface and above ground through three-dimensional modeling technology, and deploy spatial geometric feature points in each group of grids.
[0010] Step 2: Dynamic element data sensing, real-time sensing and recording of dynamic data on urban road traffic flow, energy efficiency of existing block buildings and connectivity of underground space facilities, while sensing microclimate compensation data of urban water system and road greening, and extracting vertical interface shading features within the corresponding grid.
[0011] Step 3: Data preprocessing and standardization. The sensed multidimensional heterogeneous data is converted and cleaned, and the dimensional differences are eliminated through normalization to construct a basic spatial dataset.
[0012] Step 4: Vertical composite spatial metabolic coupling analysis. Based on the vertical interface shading characteristics, calculate the vertical spatial obstruction ratio Vpb, and extract features from the microclimate compensation data and underground space connectivity data to obtain the spatial metabolic attenuation coefficient Dxss and perform resilience assessment, outputting a layout imbalance early warning signal; further, combine geological features to calculate the spatial layout optimization index Szs for each grid.
[0013] Step 5: Spatial layout optimization and control. A layout adaptation threshold M is pre-set. The spatial layout optimization index Szs is compared with the layout adaptation threshold M. Based on the analysis results, dynamic adjustment strategies for urban roads, underground spaces and pedestrian overpasses are output.
[0014] Furthermore, the specific execution process of step one is as follows:
[0015] The red line of the area to be updated is obtained through a geographic information system. A three-dimensional base map is generated using drawing software. The area to be updated is divided into several groups of three-dimensional grid units with the building height, underground facility depth and vertical position of pedestrian overpass as coordinate axes, and each grid unit is uniquely coded.
[0016] Furthermore, the dynamic data sensing process in step two includes:
[0017] The first sensing subprocess: acquires the spatial geometric features within the vertical composite monitoring grid, including the three-dimensional green volume of vegetation, the building surface shading angle Rsj, the vegetation height Zbgd, and the vegetation canopy closure Zmd;
[0018] The second sensing subprocess: acquiring environmental metabolic elements, including the estimated effective cross-sectional area of the vertical air duct in each grid, Vdmj, and the estimated thermal infrared radiation flux, Ymmj.
[0019] The third sensing subprocess: acquiring geological and vertical facility characteristics, including the number of underground space layers Lmgz and the average return period of regional drainage Lmg.
[0020] Furthermore, the specific processing method for step three is as follows:
[0021] The filtering algorithm is used to eliminate environmental noise in the sensing data, and the linear function mapping method is used to convert the analog signals of traffic flow, vegetation abundance and spatial height into digital signals with a uniform value range.
[0022] Furthermore, in step four, the method for obtaining the vertical spatial obstruction ratio Vpb is as follows:
[0023] Taking the i-th grid as an example, calculate the percentage ratio of the estimated effective cross-sectional area of the vertical air duct in the grid, Vdmji, to the estimated total vertical cross-sectional area of the grid, and obtain the vertical space obstruction ratio, Vpbi, of the grid.
[0024] Furthermore, the logic for obtaining the spatial metabolic decay coefficient Dxss is as follows:
[0025] Dxss of the i-th grid i Based on this, a system is established with the building area shading angle Rsj as the basis. i Vegetation height Zbgd i Vegetation canopy density Zmd i The linear weighting function of the independent variable is used to introduce the vertical spatial obstacle ratio Vpb. iAs a nonlinear adjustment factor, and combined with the microclimate correction term for cumulative calculation, the degree to which the grid hinders wind, light and heat circulation in the vertical dimension is quantified.
[0026] Furthermore, the specific judgment logic for the layout imbalance warning is as follows:
[0027] If the spatial metabolic decay coefficient of the i-th grid is Dxss i When the set resilience threshold T is exceeded, it is determined that there is microenvironmental metabolic obstruction in the area, and an overload signal for the spatial layout is output; otherwise, a coordination signal for the spatial layout is output.
[0028] Furthermore, step four also involves calculating the vertical connectivity disorder degree Lwd, which is obtained as follows:
[0029] Taking the i-th grid as an example, calculate the number of underground space layers Lmgz within that grid. i The sum of squares of deviations from the mean regional drainage return period Lmg is used to characterize the degree of fragmentation of the hydrological and physical connections of the grid in the vertical direction using a statistical standard deviation algorithm.
[0030] Furthermore, the logic for obtaining the spatial layout optimization index Szs is as follows:
[0031] Szs of the i-th grid i For example, a system is established based on the baseline heat island intensity Jrzq. i Based on the natural constant e as the base, and using the spatial metabolic decay coefficient Dxss i and vertical connectivity disorder Lwd i Using a decay model for the exponential term, the comprehensive layout score of the grid under functional and ecological coupling is calculated.
[0032] Furthermore, the specific strategy for step five is implemented as follows:
[0033] If the spatial layout optimization index Szs is greater than the layout adaptation threshold M, it is determined that the space has surplus functions, and a layout fine-tuning action is performed to reduce the development intensity of underground space or increase the permeable area of road greening.
[0034] If the spatial layout optimization index Szs equals the layout adaptation threshold M, the existing design scheme and construction sequence shall be maintained.
[0035] If the spatial layout optimization index Szs is less than the layout adaptation threshold M, it is determined that the spatial metabolism is obstructed. The pedestrian bridge height is adjusted to release the air duct, or the existing roof greening and ground floor open space are increased as compensation actions, and vegetation in the key wind direction is trimmed in coordination.
[0036] Compared with the prior art, the beneficial effects of the present invention are:
[0037] This invention effectively breaks the linear, lagging logic of "current situation survey - static design - construction implementation" in traditional urban renewal by constructing a vertical composite monitoring grid from underground to above ground and a dynamic element sensing mechanism. Utilizing real-time sensed data on urban road traffic flow, existing building energy efficiency, and the connectivity of underground facilities, combined with the normalized basic spatial dataset from step three, a dynamic feedback system between spatial elements and urban functions is established. Through game theory analysis of the spatial layout optimization index Szs and the layout adaptation threshold M in step five, cross-dimensional correlation simulation and multi-scenario dynamic control of urban roads, underground spaces, and pedestrian overpasses are achieved. This significantly enhances the spatial resilience and flexible iteration capability of spatial layout schemes in response to rapid iteration of urban functions, fundamentally solving the problem of insufficient game theory balance and dynamic adaptability in planning schemes caused by the mechanized accumulation of elements in traditional renewal methods.
[0038] This invention utilizes vertical composite spatial metabolic coupling analysis to deeply fill the gap in existing technologies for assessing microenvironmental metabolism at the "underground-surface-aerial" vertical composite interface by quantifying the vertical spatial obstruction ratio (Vpb), spatial metabolic decay coefficient (Dxss), and vertical connectivity disorder (Lwd). Through comprehensive analysis of the impact of micro-parameters such as vegetation height (Zbgd), vegetation canopy density (Zmd), building area shading angle (Rsj), estimated effective cross-sectional area of vertical wind tunnels (Vdmj), and estimated thermal infrared radiation flux (Ymmj) on metabolic flow, it accurately assesses the degree of obstruction of high-density composite spaces on microclimate circulation. Combined with the vertical connectivity disorder (Lwd) calculated from the number of underground space layers (Lmgz) and the regional drainage return period average (Lmg), it achieves in-depth quantitative analysis of the hydrological continuity, energy flow, and material flow in the regeneration area. This effectively avoids local microenvironmental deterioration or spatial sensory alienation caused by rigid physical size avoidance, ensuring that the regeneration urban space achieves deep-level ecological integration and metabolic balance at the micro-level, based on a reasonable macro-layout. Attached Figure Description
[0039] Figure 1 This is a schematic diagram of the overall method flow of the present invention. Detailed Implementation
[0040] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0041] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.
[0042] Please seeFigure 1 This invention provides a technical solution: a spatial layout method suitable for urban renewal construction, comprising the following steps:
[0043] Step 1: Update the multi-dimensional grid division of the area. Pre-acquire the urban renewal construction area and divide the construction area into several groups of vertical composite monitoring grids including underground, surface and above ground through three-dimensional modeling technology, and deploy spatial geometric feature points in each group of grids.
[0044] Step 2: Dynamic element data sensing, real-time sensing and recording of dynamic data on urban road traffic flow, energy efficiency of existing block buildings and connectivity of underground space facilities, while sensing microclimate compensation data of urban water system and road greening, and extracting vertical interface shading features within the corresponding grid.
[0045] Step 3: Data preprocessing and standardization. The sensed multidimensional heterogeneous data is converted and cleaned, and the dimensional differences are eliminated through normalization to construct a basic spatial dataset.
[0046] Step 4: Vertical composite spatial metabolic coupling analysis. Based on the vertical interface shading characteristics, calculate the vertical spatial obstruction ratio Vpb, and extract features from the microclimate compensation data and underground space connectivity data to obtain the spatial metabolic attenuation coefficient Dxss and perform resilience assessment, outputting a layout imbalance early warning signal; further, combine geological features to calculate the spatial layout optimization index Szs for each grid.
[0047] Step 5: Spatial layout optimization and control. A layout adaptation threshold M is pre-set. The spatial layout optimization index Szs is compared with the layout adaptation threshold M. Based on the analysis results, dynamic adjustment strategies for urban roads, underground spaces and pedestrian overpasses are output.
[0048] The specific execution process of step one is as follows:
[0049] The red line of the area to be updated is obtained through a geographic information system. A three-dimensional base map is generated using drawing software. The area to be updated is divided into several groups of three-dimensional grid units with the building height, underground facility depth and vertical position of pedestrian overpass as coordinate axes, and each grid unit is uniquely coded.
[0050] The dynamic data sensing process in step two includes:
[0051] The first sensing subprocess: acquires the spatial geometric features within the vertical composite monitoring grid, including the three-dimensional green volume of vegetation, the building surface shading angle Rsj, the vegetation height Zbgd, and the vegetation canopy closure Zmd;
[0052] The second sensing subprocess: acquiring environmental metabolic elements, including the estimated effective cross-sectional area of the vertical air duct in each grid, Vdmj, and the estimated thermal infrared radiation flux, Ymmj.
[0053] The third sensing subprocess: acquiring geological and vertical facility characteristics, including the number of underground space layers Lmgz and the average return period of regional drainage Lmg.
[0054] The specific processing method for step three is as follows:
[0055] The filtering algorithm is used to eliminate environmental noise in the sensing data, and the linear function mapping method is used to convert the analog signals of traffic flow, vegetation abundance and spatial height into digital signals with a uniform value range.
[0056] In step four, the vertical spatial obstruction ratio Vpb is obtained as follows:
[0057] Taking the i-th grid as an example, calculate the percentage ratio of the estimated effective cross-sectional area of the vertical air duct in the grid, Vdmji, to the estimated total vertical cross-sectional area of the grid, and obtain the vertical space obstruction ratio, Vpbi, of the grid.
[0058] The logic for obtaining the spatial metabolic decay coefficient Dxss is as follows:
[0059] Dxss of the i-th grid i Based on this, a system is established with the building area shading angle Rsj as the basis. i Vegetation height Zbgd i Vegetation canopy density Zmd i The linear weighting function of the independent variable is used to introduce the vertical spatial obstacle ratio Vpb. i As a nonlinear adjustment factor, and combined with the microclimate correction term for cumulative calculation, the degree to which the grid hinders wind, light and heat circulation in the vertical dimension is quantified.
[0060] The specific judgment logic for the layout imbalance warning is as follows:
[0061] If the spatial metabolic decay coefficient of the i-th grid is Dxss i When the set resilience threshold T is exceeded, it is determined that there is microenvironmental metabolic obstruction in the area, and an overload signal for the spatial layout is output; otherwise, a coordination signal for the spatial layout is output.
[0062] Step four also involves calculating the vertical connectivity disorder degree Lwd, which is obtained as follows:
[0063] Taking the i-th grid as an example, calculate the number of underground space layers Lmgz within that grid. i The sum of squares of deviations from the mean regional drainage return period Lmg is used to characterize the degree of fragmentation of the hydrological and physical connections of the grid in the vertical direction using a statistical standard deviation algorithm.
[0064] The logic for obtaining the spatial layout optimization index Szs is as follows:
[0065] Szs of the i-th grid i For example, a system is established based on the baseline heat island intensity Jrzq. i Based on the natural constant e as the base, and using the spatial metabolic decay coefficient Dxss i and vertical connectivity disorder Lwd i Using a decay model for the exponential term, the comprehensive layout score of the grid under functional and ecological coupling is calculated.
[0066] The specific strategy for step five is as follows:
[0067] If the spatial layout optimization index Szs is greater than the layout adaptation threshold M, it is determined that the space has surplus functions, and a layout fine-tuning action is performed to reduce the development intensity of underground space or increase the permeable area of road greening.
[0068] If the spatial layout optimization index Szs equals the layout adaptation threshold M, the existing design scheme and construction sequence shall be maintained.
[0069] If the spatial layout optimization index Szs is less than the layout adaptation threshold M, it is determined that the spatial metabolism is obstructed. The pedestrian bridge height is adjusted to release the air duct, or the existing roof greening and ground floor open space are increased as compensation actions, and vegetation in the key wind direction is trimmed in coordination.
[0070] Furthermore, in this embodiment, a three-dimensional spatial information acquisition system deployed in the area to be updated is used to perform multi-dimensional gridding of the region. This process begins by retrieving the redline vector range of the area to be updated using a Geographic Information System (GIS), and then using 3D modeling software and a Computer-Aided Design (CAD) platform to generate a digital base map covering existing buildings, terrain, and infrastructure. To achieve integrated digital management of the "underground-surface-above-ground" areas, this embodiment uses building height, underground facility depth, and the vertical elevation of pedestrian overpasses as coordinate axes to divide the physical space into several groups of three-dimensional voxel grids. Each grid cell is assigned a unique hexadecimal code for subsequent algorithm retrieval. By deploying spatial geometric feature points at each grid node, the system can establish topological relationships between grids. The horizontal step size of the grid is set to 50 meters, and the vertical step size to 3 meters. This value represents a technical balance between ensuring simulation accuracy in capturing microclimate funneling effects and avoiding massive redundant calculations.
[0071] Based on the constructed 3D voxel mesh, a dynamic feature data sensing and digitization process is executed. Millimeter-wave radar, thermal infrared imaging sensors, and 3D lidar deployed at key urban nodes are used to acquire real-time data on road traffic flow, building exterior thermal radiation, and wind speed vectors. Data sensing is divided into three parallel sub-processes: First, spatial geometric features within the mesh are extracted, including identifying vegetation height and its 3D green volume using point cloud data; second, environmental metabolic elements are sensed, and the thermal radiation flux of each mesh unit is estimated using thermal infrared data; finally, geological and vertical facility features are acquired, such as the number of underground development layers. The acquired raw simulation signals then enter a preprocessing stage, where median filtering is used to remove signal glitches and sensor thermal noise, and a linear normalization function is used to map physical quantities of different dimensions to the [0,1] interval. This processing ensures that subsequent multi-objective game algorithms run under a unified data benchmark, improving the convergence speed and stability of cross-dimensional correlation simulations.
[0072] To address the problem of vertical spatial interfaces obstructing energy and material flows in urban areas, this embodiment performs a detailed vertical composite spatial metabolic coupling analysis. The first key parameter determined is the vertical spatial obstruction ratio, denoted by Vpb. This parameter is obtained through the following logic: First, the total vertical projected cross-sectional area of the grid cells in the prevailing wind direction is obtained; second, the projected shading area of physical structures such as buildings and overpasses within the grid is extracted; third, the shading area is divided by the total projected cross-sectional area to obtain a preliminary ratio, used to quantify the degree of obstruction of the wind corridor by the physical interface. Subsequently, a spatial metabolic attenuation coefficient, denoted by Dxss, is constructed based on this ratio. This coefficient aims to solve the problem of microenvironment deterioration caused by "mechanically stacked elements" in existing technologies. The calculation logic is as follows: First, obtain the normalized building area shading angle, vegetation height, and vegetation canopy density; second, assign weight coefficients to the above three factors using the gradient boosting decision tree algorithm; third, sum the weighted terms and perform a nonlinear product operation with the vertical spatial obstruction ratio Vpb; fourth, use the Sigmoid function to compress the calculation results into the (0,1) interval. The closer the value of this coefficient is to 1, the more severe the spatial metabolism obstruction of the grid cell.
[0073] To further quantify the impact of underground spatial continuity on the ecosystem, this embodiment introduces a vertical connectivity disorder parameter, denoted as Lwd. Its determination method is as follows: First, obtain the number of underground spatial layers Lmgz within the grid; second, obtain the regional drainage return period mean Lmg; third, calculate the deviation between Lmgz and Lmg; fourth, square the deviation value, divide it by the total regional sample size, and take the square root, thus assessing the degree of vertical physical connectivity fragmentation through standard deviation logic. Based on this, the system further integrates and generates a spatial layout optimization index, denoted as Szs. The logical construction of this index is as follows: First, obtain the basic heat island intensity Jrzq; second, using the natural constant e as the base, and the negative of the sum of the spatial metabolic decay coefficient Dxss and the vertical connectivity disorder Lwd as the exponent, perform a power operation; third, multiply the heat island intensity with the power operation result. The scientific significance of this model lies in using exponential decay characteristics to simulate the nonlinear inhibitory effect of physical barriers on urban microclimate metabolism. In this embodiment, the output value of Szs is used to directly guide the resilience assessment of urban functions.
[0074] Finally, the system enters the spatial layout optimization and control phase. A pre-set layout adaptation threshold M, set at 0.65, is used. This threshold is a game-theoretic equilibrium point obtained through offline training on a large number of historical low-energy-consumption urban renewal samples. The system compares the real-time calculated Szs with M: when Szs is greater than the threshold M, it is determined that the current grid's spatial functional density and microenvironmental carrying capacity have a surplus, and the system outputs instructions to increase green permeable area or fine-tune underground development intensity; when Szs is less than the threshold M, it is determined that spatial metabolism is obstructed, and the system automatically triggers the first warning instruction, generating a control plan through a game-theoretic algorithm. Specific measures include adjusting the height of pedestrian overpasses to release airflow pressure, or issuing instructions through digital interfaces to force the building management system to compensate for metabolic flux by opening up ground-floor elevated spaces or pruning specific vegetation that obstructs airflow. This dynamic control mechanism based on digital feedback transforms urban spatial layout from "static physical stacking" to "dynamic metabolic balance," significantly improving the ecological adaptability and spatial resilience of urban renewal in multi-layered complex states.
[0075] It should be noted that this application uses a mathematical model that matches the data. Next, the model performance is objectively evaluated using methods such as cross-validation. Furthermore, regression analysis, including but not limited to machine learning algorithms, is employed in conjunction with all calculation formulas in the document to deeply analyze the collected parameters and identify their natural trends and interrelationships. Specialized software, such as Python's Scikit-learn library or R language, is used to automatically generate continuous feedback and optimization, ensuring that the created formulas truly reflect the inherent laws of the data, thereby guaranteeing their effectiveness and accuracy. In all calculation formulas of this application, the parameters in each formula undergo dimensionless processing within a consistent range to ensure that different physical quantities are compared on the same scale; dimensionless processing techniques include, but are not limited to, min-max-normalization and Z-score standardization.
[0076] The technical solution of this invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random-access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of this invention.
[0077] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.
[0078] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A spatial layout method suitable for urban renewal construction, characterized in that, Includes the following steps: Step 1: Update the multi-dimensional grid division of the area. Pre-acquire the urban renewal construction area and divide the construction area into several groups of vertical composite monitoring grids including underground, surface and above ground through three-dimensional modeling technology, and deploy spatial geometric feature points in each group of grids. Step 2: Dynamic element data sensing, real-time sensing and recording of dynamic data on urban road traffic flow, energy efficiency of existing block buildings and connectivity of underground space facilities, while sensing microclimate compensation data of urban water system and road greening, and extracting vertical interface shading features within the corresponding grid. Step 3: Data preprocessing and standardization. The sensed multidimensional heterogeneous data is converted and cleaned, and the difference in units is eliminated through normalization to build a basic spatial dataset. Step 4: Vertical composite spatial metabolic coupling analysis. Based on the vertical interface shading characteristics, calculate the vertical spatial obstruction ratio Vpb, and extract features from the microclimate compensation data and underground space connectivity data to obtain the spatial metabolic attenuation coefficient Dxss and perform resilience assessment, outputting a layout imbalance early warning signal; further, combine geological features to calculate the spatial layout optimization index Szs for each grid. Step 5: Spatial layout optimization and control. A layout adaptation threshold M is pre-set. The spatial layout optimization index Szs is compared with the layout adaptation threshold M. Based on the analysis results, dynamic adjustment strategies for urban roads, underground spaces and pedestrian overpasses are output.
2. The spatial layout method applicable to urban renewal construction according to claim 1, characterized in that: The specific execution process of step one is as follows: The red line of the area to be updated is obtained through a geographic information system. A three-dimensional base map is generated using drawing software. The area to be updated is divided into several groups of three-dimensional grid units with the building height, underground facility depth and vertical position of pedestrian overpass as coordinate axes, and each grid unit is uniquely coded.
3. The spatial layout method applicable to urban renewal construction according to claim 1, characterized in that: The dynamic data sensing process in step two includes: The first sensing subprocess: acquires the spatial geometric features within the vertical composite monitoring grid, including the three-dimensional green volume of vegetation, the building surface shading angle Rsj, the vegetation height Zbgd, and the vegetation canopy closure Zmd; The second sensing subprocess: acquiring environmental metabolic elements, including the estimated effective cross-sectional area of the vertical air duct in each grid, Vdmj, and the estimated thermal infrared radiation flux, Ymmj. The third sensing subprocess: acquiring geological and vertical facility characteristics, including the number of underground space layers Lmgz and the average return period of regional drainage Lmg.
4. A spatial layout method suitable for urban renewal construction according to claim 1, characterized in that: The specific processing method for step three is as follows: The filtering algorithm is used to eliminate environmental noise in the sensing data, and the linear function mapping method is used to convert the analog signals of traffic flow, vegetation abundance and spatial height into digital signals with a uniform value range.
5. A spatial layout method suitable for urban renewal construction according to claim 3, characterized in that: In step four, the vertical spatial obstruction ratio Vpb is obtained as follows: Taking the i-th grid as an example, calculate the percentage ratio of the estimated effective cross-sectional area of the vertical air duct in the grid, Vdmji, to the estimated total vertical cross-sectional area of the grid, and obtain the vertical space obstruction ratio, Vpbi, of the grid.
6. A spatial layout method suitable for urban renewal construction according to claim 5, characterized in that: The logic for obtaining the spatial metabolic decay coefficient Dxss is as follows: Dxss of the i-th grid i Based on this, a system is established with the building area shading angle Rsj as the basis. i Vegetation height Zbgd i Vegetation canopy density Zmd i The linear weighting function of the independent variable is used to introduce the vertical spatial obstacle ratio Vpb. i As a nonlinear adjustment factor, and combined with the microclimate correction term for cumulative calculation, the degree to which the grid hinders wind, light and heat circulation in the vertical dimension is quantified.
7. A spatial layout method suitable for urban renewal construction according to claim 6, characterized in that: The specific judgment logic for the layout imbalance warning is as follows: If the spatial metabolic decay coefficient of the i-th grid is Dxss i When the set resilience threshold T is exceeded, it is determined that there is microenvironmental metabolic obstruction in the area, and an overload signal for the spatial layout is output; otherwise, a coordination signal for the spatial layout is output.
8. A spatial layout method suitable for urban renewal construction according to claim 5, characterized in that: Step four also involves calculating the vertical connectivity disorder degree Lwd, which is obtained as follows: Taking the i-th grid as an example, calculate the number of underground space layers Lmgz within that grid. i The sum of squares of deviations from the mean regional drainage return period Lmg is used to characterize the degree of fragmentation of the hydrological and physical connections of the grid in the vertical direction using a statistical standard deviation algorithm.
9. A spatial layout method suitable for urban renewal construction according to claim 5, characterized in that: The logic for obtaining the spatial layout optimization index Szs is as follows: Szs of the i-th grid i For example, a system is established based on the baseline heat island intensity Jrzq. i Based on the natural constant e as the base, and using the spatial metabolic decay coefficient Dxss i and vertical connectivity disorder Lwd i Using a decay model for the exponential term, the comprehensive layout score of the grid under functional and ecological coupling is calculated.
10. A spatial layout method suitable for urban renewal construction according to claim 1, characterized in that: The specific strategy for step five is as follows: If the spatial layout optimization index Szs is greater than the layout adaptation threshold M, it is determined that the space has surplus functions, and a layout fine-tuning action is performed to reduce the development intensity of underground space or increase the permeable area of road greening. If the spatial layout optimization index Szs equals the layout adaptation threshold M, the existing design scheme and construction sequence shall be maintained. If the spatial layout optimization index Szs is less than the layout adaptation threshold M, it is determined that the spatial metabolism is obstructed. The pedestrian bridge height is adjusted to release the air duct, or the existing roof greening and ground floor open space are increased as compensation actions, and vegetation in the key wind direction is trimmed in coordination.