A dynamic adjustment decision method for form layout schemes in urban renewal planning

Abstract

This invention relates to the field of urban layout technology and discloses a dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning. The method includes: constructing a current status perception network with administrative management points, public facility points, and geographical features as nodes and road connections and management links as edges; binding public opinion data to the nodes of the current status perception network and associating population flow data and facility load data to the edges of the current status perception network to obtain a dynamic perception network; performing an association search on a preset morphological layout scheme library to obtain candidate morphological layout schemes; mapping the candidate morphological layout schemes to the dynamic perception network to obtain a virtual state; performing simulation and deduction on the dynamic perception network to obtain interactive feedback; comprehensively evaluating the candidate morphological layout schemes to obtain a comprehensive fit; and making targeted adjustments to the candidate morphological layout schemes to obtain the final morphological layout scheme. This invention can improve the rationality of urban morphological layout schemes.

Description

Technical Field

[0001] This invention relates to the field of urban layout technology, and in particular to a dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning. Background Technology

[0002] In the process of making decisions on the form and layout schemes of urban renewal planning, existing technologies often struggle to effectively integrate and dynamically correlate multi-source data. Traditional methods rely heavily on static data to build the basis for analysis, failing to fully incorporate dynamic data such as public opinion, population flow, and facility load, and lacking spatiotemporal integration processing of this data. This results in the analytical framework being unable to accurately reflect the real-time state and evolution trend of urban space. Consequently, the formulation of form and layout schemes lacks comprehensive and dynamic data support, making it impossible to accurately capture the core demands and potential contradictions of urban space, thus affecting the scientific nature and relevance of the schemes.

[0003] Existing technologies have significant limitations in the screening, evaluation, and adjustment of morphological layout schemes. Scheme retrieval often relies on single-dimensional feature matching, lacking in-depth deconstruction and precise adaptation analysis of multi-scale urban spatial characteristics. This results in insufficient alignment between the selected candidate schemes and the spatial structure and functional needs of the target city. Furthermore, the simulation and comprehensive evaluation mechanisms are imperfect, making it difficult to quantify the interactive feedback effects after scheme implementation. Moreover, the adjustment process lacks clear directional optimization criteria and is mostly based on empirical modifications, leading to low efficiency and limited improvement in adaptability. This fails to meet the actual needs of dynamic scheme optimization in urban renewal planning. Therefore, improving the rationality of morphological layout schemes has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, this invention provides a dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning, comprising: S1. Using administrative management points, public facility points, and geographical features of the target city as nodes, and road connections and management links of the target city as edges, construct the current status perception network of the target city; S2. Bind the public opinion data of the target city to the nodes of the current situation perception network, and associate the population flow data and facility load data of the target city to the edges of the current situation perception network to obtain the dynamic perception network of the target city. S3. Based on the spatial structure of the target city, perform an association search on the preset morphological layout scheme library to obtain candidate morphological layout schemes for the target city. S4. Map the parameterized description of the candidate morphological layout scheme to the dynamic sensing network to obtain the virtual state of the target city, and based on the virtual state, simulate and deduce the dynamic data in the dynamic sensing network to obtain the interactive feedback of the target city. S5. Based on the interactive feedback, a comprehensive evaluation of the candidate shape layout scheme is performed to obtain the comprehensive adaptability of the candidate shape layout scheme. S6. Based on the comprehensive adaptability, the candidate morphological layout schemes are adjusted in a targeted manner to obtain the final morphological layout scheme of the target city.

[0006] In a preferred embodiment, the construction of the target city's current status perception network, using administrative management points, public facility points, and geographical features of the target city as nodes and road connections and management links of the target city as edges, includes: Collect administrative boundary data, road centerline data, public facility location data, and natural feature outline data of the target city to obtain the initial vector dataset of the target city; Spatial unification processing is performed on the initial vector dataset to obtain the standard spatial vector dataset of the target city; The spatial vectors in the standard spatial vector dataset are used to construct the initial spatial topology of the target city. By performing correlation analysis on the jurisdictional levels and service areas in the target city, the management relationships of the target city can be obtained; Based on the initial spatial topology, the management connections and road connections of the target city are strengthened into edges, and entities in the target city with key administrative attributes, core functional attributes, and significant geographical attributes are established as nodes, thus constructing the current status perception network of the target city.

[0007] In a preferred embodiment, binding the public opinion data of the target city to the nodes of the current status perception network includes: Collect public opinion data in the target cities; The public opinion data is standardized to obtain the standard opinion set for the target city; The standard opinion set is subjected to sentiment tendency discrimination to obtain the sentiment intensity of the standard opinion set; Based on the spatial attribute description of the standard opinion set, the emotional intensity is assigned to the nodes of the current situation perception network to obtain the demand characteristics of the target city; The aforementioned demand characteristics are added as dynamic attributes to the node attributes of the current situation perception network to complete the binding of the public opinion data and the node.

[0008] In a preferred embodiment, the step of associating the population flow data and facility load data of the target city with the edges of the current status sensing network to obtain the dynamic sensing network of the target city includes: Statistical analysis of population flow data and infrastructure load data for the target city; The population flow data and the facility load data are spatiotemporally fused, and the fused data is discretized to obtain the population-facility data point set of the target city; Based on the spatial coverage of the current situation perception network, the population-facility data point set is aggregated in a grid to obtain the spatiotemporal grid data volume of the target city. Based on the spatial geometric path of the current situation perception network, attribute extraction is performed on the spatiotemporal grid data volume to obtain the traffic sequence and load sequence of the target city. The traffic sequence and the load sequence are used as the original spatiotemporal attribute sequences of the edges in the current situation perception network; The original spatiotemporal attribute sequence is decomposed into a trend term to obtain the long-term baseline load and short-term dynamic load components of the original spatiotemporal attribute sequence. The long-term baseline load and the short-term dynamic load components are structurally encapsulated to obtain the structural time-series data of the target city. The structured time series data is associated with the edge attributes of the current status perception network to obtain the dynamic perception network of the target city.

[0009] In a preferred embodiment, the step of performing a correlation search on a preset morphological layout scheme library based on the spatial structure of the target city to obtain candidate morphological layout schemes for the target city includes: The spatial structure of the target city is deconstructed at multiple scales to obtain the macro-land use structure characteristics, meso-level functional zoning characteristics, and micro-level land texture characteristics of the target city. The topological structure of the schemes in the preset morphological layout scheme library is analyzed to obtain the land use characteristics of the morphological layout scheme library. The difference between the macro-land use structure characteristics and the land use characteristics is quantified to obtain the land use difference degree of the target city; Based on the land use difference, the morphological layout scheme library is initially screened to obtain preliminary candidate schemes for the target city; Based on the aforementioned meso-level functional zoning characteristics, a functional layout matching degree analysis is performed on the preliminary candidate schemes to obtain the functional matching degree sequence of the target city. Based on the micro-plot texture characteristics, the spatial texture similarity of the preliminary candidate schemes is statistically analyzed to obtain the texture similarity sequence of the target city. Based on the functional matching degree sequence and the texture similarity sequence, the preliminary candidate schemes are precisely screened to obtain the candidate morphological layout schemes for the target city.

[0010] In a preferred embodiment, mapping the parameterized description of the candidate morphological layout scheme to the dynamic sensing network to obtain the virtual state of the target city includes: A strategy association mapping is performed on the parameterized description of the candidate morphological layout scheme to obtain an adjustment scheme set for the candidate morphological layout scheme; Spatial location matching is performed between the set of adjustment schemes and the nodes of the dynamic sensing network to obtain the set of directly affected nodes and the set of indirectly affected edges of the dynamic sensing network. Based on the set of adjustment schemes, the attributes of the directly affected node set are optimized and adjusted to obtain the first virtual state of the target city; Based on the changes in node attributes in the first virtual state, the initial load of the indirectly affected edge set is correlated and mapped to obtain the second virtual state of the target city. The first virtual state and the second virtual state are cross-fused, and the consistency of the fused virtual state is verified to obtain the virtual state of the target city.

[0011] In a preferred embodiment, the step of simulating and extrapolating dynamic data in the dynamic sensing network based on the virtual state to obtain the interactive feedback of the target city includes: Based on the current state data of the dynamic sensing network, attribute verification is performed on the virtual state to obtain the state change area of ​​the target city. Spatially correlate the state change area with the dynamic sensing network to obtain dynamic data of the target city; Interactive simulations are performed on the state change area and the dynamic data to obtain interactive feedback from the target city.

[0012] In a preferred embodiment, the step of comprehensively evaluating the candidate layout schemes based on the interactive feedback to obtain the comprehensive adaptability of the candidate layout schemes includes: The effectiveness of the interactive feedback is evaluated to obtain the feedback intensity of the interactive feedback; The feedback intensity is normalized to obtain the standard feedback intensity of the interactive feedback; The feedback intensity is measured for discreteness to obtain the coefficient of variation of the feedback intensity; The comprehensive adaptability of the candidate morphological layout scheme is calculated based on the coefficient of variation and the standard feedback strength.

[0013] In a preferred embodiment, the step of adjusting the candidate layout schemes according to the comprehensive adaptability to obtain the final layout scheme of the target city includes: Based on the feedback intensity of the interactive feedback in the target city, determine the suitability classification threshold of the target city; The overall adaptability and the adaptability grading threshold are matched for similarity to obtain the adaptability level of the candidate morphological layout scheme; When the adaptation level is high, the candidate form layout scheme will be used as the final form layout scheme of the target city. When the adaptation level is medium, based on the statistical characteristics of the interactive feedback and the historical adjustment records, the parameterized description in the candidate morphological layout scheme is optimized in multiple objectives to obtain the final morphological layout scheme of the target city. When the adaptation level is low, the target city's morphological layout scheme library is optimally screened based on the core conflict features in the dynamic perception network to obtain the final morphological layout scheme of the target city.

[0014] In a preferred embodiment, the step of performing multi-objective optimization on the parametric description in the candidate morphological layout scheme based on the statistical characteristics and historical adjustment records of the interactive feedback to obtain the final morphological layout scheme of the target city includes: The statistical characteristics and historical adjustment records of the interactive feedback are encapsulated and encoded to obtain the basic optimization instructions for the target city; The basic tuning instructions are conflict-resolved to obtain the optimized tuning instructions for the target city. Based on the feedback intensity of the interactive feedback, the optimization and tuning instructions are arranged to obtain the tuning instruction sequence for the target city; Based on the optimization instruction sequence, the parameterized descriptions in the candidate morphological layout schemes are modified one by one to obtain the intermediate morphological layout scheme of the target city. The intermediate layout scheme is convergent to obtain the final layout scheme of the target city.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention constructs a current status perception network that integrates administrative management points, public facility points, and geographical features, and binds public opinion data to nodes and associates population flow and facility load data to edges, forming a comprehensive and dynamic perception network. This provides multi-dimensional and real-time data support for the adjustment decision of morphological layout schemes, greatly improving the efficiency of data integration and utilization in the decision-making process, and making dynamic adjustment decisions more targeted and scientific.

[0016] 2. By leveraging multi-scale spatial feature deconstruction to achieve precise retrieval of candidate schemes, obtaining interactive feedback through parametric mapping and simulation, and then making targeted adjustments based on comprehensive adaptability, this technical process enables efficient advancement of the entire process from screening and evaluation to optimization of morphological layout schemes. It effectively improves the adaptability of schemes to urban spatial structure and dynamic needs, ensures the rationality and practicality of the final morphological layout scheme, and significantly improves the overall efficiency of dynamic adjustment decisions in urban renewal planning. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning, provided as an embodiment of the present invention.

[0018] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0020] This application provides a method for dynamically adjusting the form and layout scheme in urban renewal planning. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for dynamically adjusting the form and layout scheme in urban renewal planning can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0021] Reference Figure 1The diagram shown is a flowchart illustrating a dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning, according to an embodiment of the present invention. In this embodiment, the dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning includes:

[0022] S1. Using administrative management points, public facility points, and geographical features of the target city as nodes, and road connections and management links of the target city as edges, construct the current status perception network of the target city; In this embodiment of the invention, the construction of a current status perception network for the target city, using administrative management points, public facility points, and geographical features of the target city as nodes and road connections and management links of the target city as edges, includes: Collect administrative boundary data, road centerline data, public facility location data, and natural feature outline data of the target city to obtain the initial vector dataset of the target city; Spatial unification processing is performed on the initial vector dataset to obtain the standard spatial vector dataset of the target city; The spatial vectors in the standard spatial vector dataset are used to construct the initial spatial topology of the target city. By performing correlation analysis on the jurisdictional levels and service areas in the target city, the management relationships of the target city can be obtained; Based on the initial spatial topology, the management connections and road connections of the target city are strengthened into edges, and entities in the target city with key administrative attributes, core functional attributes, and significant geographical attributes are established as nodes, thus constructing the current status perception network of the target city.

[0023] When collecting administrative boundary data of the target city, precise boundary line information is extracted from the statutory administrative division documents archived by the urban planning authorities. Road centerline data is obtained by measuring the centerline position of all roads in the city on-site and recording relevant spatial information. Public facility location data collects the specific coordinate location information of various public facilities such as schools, hospitals, libraries, and government service centers in the city. Natural feature contour data is obtained by manually identifying and delineating satellite remote sensing images to extract the boundary contours of natural features such as mountains, rivers, lakes, and forests. After collecting and integrating these four types of data, an initial vector dataset of the target city is formed.

[0024] The national geodetic coordinate system commonly used in the target city area was adopted as the unified coordinate reference system. All data of different formats in the initial vector dataset were converted into vector data in Shapefile format. Then, spatial verification was performed on each type of data. For data with positional deviations, corrections were made based on benchmarks from field surveys. For data with overlapping or broken boundaries, manual comparison and splicing were used to ensure that all data maintained accurate position, uniform format, and no logical conflicts within the same spatial framework, ultimately resulting in a standard spatial vector dataset for the target city.

[0025] The standard spatial vector dataset is analyzed one by one to clarify the spatial relationships between various elements, such as administrative division boundaries, road centerlines, public facility locations, and natural feature outlines. For example, it is determined whether the positional relationship between a road centerline and the adjacent administrative division boundary is adjacent, intersecting, or containing; whether a public facility location is located within a specific natural feature outline; and the relationships of adjacency, containment, intersection, and connection between all spatial vector elements are sorted out to form an initial spatial topology that can clearly reflect the positional relationships between various spatial elements in the target city.

[0026] First, comprehensively analyze the administrative jurisdiction levels of the target city, clarifying the specific jurisdictional areas of each level, such as the city level, district level, street level, and community level. Then, through on-site surveys and data research, determine the service scope of various public service facilities corresponding to each jurisdictional level. For example, clarify the coverage area of ​​primary school districts and the service radius of community health service centers within a certain street-level jurisdiction. Compare the jurisdictional area of ​​each jurisdictional level with the service scope of the corresponding public service facilities one by one, analyze the corresponding coverage relationship and management responsibility association between the two, and then clarify the management association of different jurisdictional levels with various public service facilities, thus obtaining the management connections of the target city.

[0027] Based on the initial spatial topology, the previously analyzed management connections and actual road connections within the city are all set as edges in the network. Road connections directly correspond to passable road paths within the city, while management connections correspond to management association paths between different levels of jurisdiction and public service facilities. At the same time, from the spatial entities of the target city, administrative management points with key administrative attributes, public facility points with core functional attributes, and geographical features with significant geographical attributes are selected and identified as nodes in the network. According to the spatial relationships and association logic between various edges and nodes, the edges are precisely connected to their corresponding nodes, ultimately constructing the current status perception network of the target city.

[0028] The beneficial effects are that the implementation process comprehensively integrates the spatial basic data and management-related information of the target city. Through standardized data collection, unified processing, spatial relationship sorting and correlation analysis, it ensures that the nodes and edges of the current situation perception network have clear and real-world evidence. The constructed current situation perception network can accurately reflect the spatial layout, facility distribution and management service status of the target city. It provides a solid and reliable foundation for the subsequent integration of public opinion data, population flow data and facility load data into the network, as well as the retrieval, evaluation and targeted adjustment of morphological layout schemes. It effectively improves the scientific nature and pertinence of dynamic adjustment decisions of morphological layout schemes in urban renewal planning.

[0029] S2. Bind the public opinion data of the target city to the nodes of the current situation perception network, and associate the population flow data and facility load data of the target city to the edges of the current situation perception network to obtain the dynamic perception network of the target city. In this embodiment of the invention, binding the public opinion data of the target city to the nodes of the current status perception network includes: Collect public opinion data in the target cities; The public opinion data is standardized to obtain the standard opinion set for the target city; The standard opinion set is subjected to sentiment tendency discrimination to obtain the sentiment intensity of the standard opinion set; Based on the spatial attribute description of the standard opinion set, the emotional intensity is assigned to the nodes of the current situation perception network to obtain the demand characteristics of the target city; The aforementioned demand characteristics are added as dynamic attributes to the node attributes of the current situation perception network to complete the binding of the public opinion data and the node.

[0030] The step of associating the population flow data and facility load data of the target city with the edges of the current status sensing network to obtain the dynamic sensing network of the target city includes: Statistical analysis of population flow data and infrastructure load data for the target city; The population flow data and the facility load data are spatiotemporally fused, and the fused data is discretized to obtain the population-facility data point set of the target city; Based on the spatial coverage of the current situation perception network, the population-facility data point set is aggregated in a grid to obtain the spatiotemporal grid data volume of the target city. Based on the spatial geometric path of the current situation perception network, attribute extraction is performed on the spatiotemporal grid data volume to obtain the traffic sequence and load sequence of the target city. The traffic sequence and the load sequence are used as the original spatiotemporal attribute sequences of the edges in the current situation perception network; The original spatiotemporal attribute sequence is decomposed into a trend term to obtain the long-term baseline load and short-term dynamic load components of the original spatiotemporal attribute sequence. The long-term baseline load and the short-term dynamic load components are structurally encapsulated to obtain the structural time-series data of the target city. The structured time series data is associated with the edge attributes of the current status perception network to obtain the dynamic perception network of the target city.

[0031] We comprehensively collected various public opinions related to urban renewal planning through multiple channels, including online government service platform message boards in the target city, offline community resident hearing records, feedback from public opinion surveys on urban planning, and public comments under relevant social media topics. These opinions included views and suggestions on the layout of existing facilities, the supply of public services, and environmental governance. All collected information was compiled and organized to form public opinion data for the target city.

[0032] The collected public opinion data is systematically processed. First, duplicate submissions are eliminated to avoid data redundancy. Then, typos and grammatical errors in the expression of opinions are corrected, and the expression format of opinions is standardized. Opinions in different forms are converted into standardized text formats. At the same time, invalid information that is irrelevant to the urban renewal planning layout is removed, and finally, a standard opinion set for the target city is obtained.

[0033] Each opinion in the standard opinion set is analyzed one by one. By identifying keywords expressing attitude, the strength of tone and the overall semantic tendency, the emotional tendency of each opinion is determined to be positive, negative or neutral. Then, based on the intensity of the emotion in the expression, the corresponding emotional intensity level is divided, thus obtaining the emotional intensity of the standard opinion set.

[0034] Carefully study the spatial attribute descriptions of each opinion in the standard opinion collection, clarify the specific urban area, facility location, or geographical scope to which each opinion refers, and accurately map these spatial descriptions to nodes in the current situation perception network. For example, map an opinion pointing to a community service center to the node corresponding to that community service center in the current situation perception network, and then allocate the emotional intensity of each opinion to the corresponding node. Summarize all the emotional intensities received by each node to form the public demand tendency and intensity corresponding to each node, and obtain the demand characteristics of the target city.

[0035] The characteristics of each node's demands are clearly incorporated into the node attribute system of the current situation perception network, and recorded and stored as dynamic attributes of the nodes. This allows the node attributes to not only include the original fixed attributes, but also to add dynamic information reflecting public demands, thereby completing the binding of public opinion data and current situation perception network nodes.

[0036] Data such as urban road monitoring records, public transportation card swipe data, and highway entrance and exit traffic statistics are obtained from the traffic management departments of the target city. Data such as the daily number of users, resource occupancy, and operational capacity of public facilities are obtained from the management departments of public facilities such as education, medical care, and culture and sports. This data is then classified, organized, and statistically analyzed to obtain population flow data and facility load data for the target city.

[0037] By matching the temporal and spatial information in population flow data with the temporal and spatial information in facility load data, the spatiotemporal fusion of the two types of data is achieved, ensuring that population flow data and facility load data within the same time and spatial range are correlated. The fused continuous data is then divided into independent data units according to fixed time intervals and spatial ranges, resulting in the population-facility data point set of the target city.

[0038] Based on the entire spatial range covered by the current sensing network, several uniform spatial grids are divided according to a unified size and rules. Each data point in the population-facility data point set is assigned to the corresponding spatial grid according to its spatial location. All data points in each grid are summarized and statistically analyzed to calculate key information such as the average value and total amount of data in the grid. Each grid corresponds to a set of aggregated complete data, forming a spatiotemporal grid data body of the target city.

[0039] Define the spatial geometric path of each edge in the current situation perception network, that is, the actual spatial direction and coverage between the nodes connected by each edge. Along these spatial geometric paths, extract population flow-related data and facility load-related data from the spatiotemporal grid data volumes that are passed through one by one. Arrange the extracted population flow data in chronological order to form the flow sequence of the target city, and arrange the extracted facility load data in chronological order to form the load sequence of the target city.

[0040] The traffic and load sequences obtained from the sorting are directly identified as the original spatiotemporal attribute sequences of the corresponding edges in the current situation perception network. This clarifies that these sequences are the basic attribute data reflecting the changes in population flow and facility load over time on the spatial paths corresponding to the edges, providing the original basis for further processing.

[0041] By analyzing the data change trends in the original spatiotemporal attribute sequence, the load component that remains stable in the long term is separated out. This load component is not affected by short-term fluctuations and is the relatively fixed basic load in the operation of the city, namely the long-term baseline load. At the same time, the load component that fluctuates due to short-term factors is separated out, namely the short-term dynamic load component.

[0042] The long-term baseline load and short-term dynamic load components are organized according to the time dimension, the two types of load data corresponding to each time period are identified, and the data are encapsulated in a unified format to form a dataset with a clear structure that is easy to call and analyze, thus obtaining the structural time series data of the target city.

[0043] The encapsulated structural time-series data is associated one by one with each edge in the current situation perception network, and added to the attribute information of the corresponding edge. This makes the attributes of each edge not only include the original fixed attributes, but also have dynamic attributes that reflect the spatiotemporal changes of population flow and facility load, thus obtaining the dynamic perception network of the target city.

[0044] The beneficial effects are that, through the above process, public opinion data is accurately bound to the nodes of the current situation perception network, giving the nodes dynamic attributes that reflect public demands. At the same time, population flow and facility load data are effectively linked to the edges of the network, giving the edges spatiotemporal dynamic attributes, and successfully constructing a dynamic perception network. This network can comprehensively integrate the static spatial characteristics of the city, public demands, and dynamic operational data, providing real, comprehensive, and dynamic basic data support for the subsequent retrieval, simulation, and evaluation and adjustment of urban renewal planning schemes, ensuring that urban renewal planning schemes are more in line with the actual needs of the city and public demands.

[0045] S3. Based on the spatial structure of the target city, perform an association search on the preset morphological layout scheme library to obtain candidate morphological layout schemes for the target city. In this embodiment of the invention, the step of performing a correlation search on a preset morphological layout scheme library based on the spatial structure of the target city to obtain candidate morphological layout schemes for the target city includes: The spatial structure of the target city is deconstructed at multiple scales to obtain the macro-land use structure characteristics, meso-level functional zoning characteristics, and micro-level land texture characteristics of the target city. The topological structure of the schemes in the preset morphological layout scheme library is analyzed to obtain the land use characteristics of the morphological layout scheme library. The difference between the macro-land use structure characteristics and the land use characteristics is quantified to obtain the land use difference degree of the target city; Based on the land use difference, the morphological layout scheme library is initially screened to obtain preliminary candidate schemes for the target city; Based on the aforementioned meso-level functional zoning characteristics, a functional layout matching degree analysis is performed on the preliminary candidate schemes to obtain the functional matching degree sequence of the target city. Based on the micro-plot texture characteristics, the spatial texture similarity of the preliminary candidate schemes is statistically analyzed to obtain the texture similarity sequence of the target city. Based on the functional matching degree sequence and the texture similarity sequence, the preliminary candidate schemes are precisely screened to obtain the candidate morphological layout schemes for the target city.

[0046] The spatial structure of the target city is comprehensively analyzed at different scales. At the macro level, the focus is on the overall land use composition of the city, statistically analyzing the area proportions of various land uses such as residential land, commercial land, industrial land, and public green space, clarifying the spatial distribution pattern of various land uses throughout the city, and forming the macro land use structure characteristics of the target city. At the meso level, based on the city's functional positioning and actual use, different functional areas such as business districts, residential areas, science and education areas, and ecological protection areas are divided, clarifying the core functions, coverage, and inter-regional connections of each area, and obtaining the meso functional zoning characteristics. At the micro level, the shape, size, spacing between plots, building density, plot ratio, and other specific attributes of individual plots are carefully observed, and the overall patterns of these attributes are sorted out to form the micro land texture characteristics of the target city.

[0047] For each layout scheme in the pre-set layout scheme library, analyze the spatial connection relationship, distribution pattern and adjacent relationship between different land use types within it, clarify the configuration ratio, spatial arrangement logic and traffic connection mode of each type of land use in each scheme, and extract the land use characteristics corresponding to each scheme by systematically sorting out these spatial relationship information.

[0048] The macro-land use structure characteristics of the target city are compared with the land use characteristics of each scheme in the morphological layout scheme library. For the area proportion of each type of land use, the difference in the proportion of land use between the target city and each scheme is calculated. For the spatial distribution of each type of land use, the proportion of overlapping area between the two distribution ranges is statistically analyzed. By combining these comparison results, the difference between the target city and each scheme in macro-land use structure is quantified, and the land use difference degree of the target city is finally obtained.

[0049] A reasonable threshold for land use difference is pre-set, and schemes with land use difference below the threshold in the morphological layout scheme library are selected. These schemes have a high degree of fit with the target city in terms of macro land use structure and are in line with the overall land use layout of the target city, thus obtaining the preliminary candidate schemes for the target city.

[0050] For each preliminary candidate scheme, its functional zoning is compared in detail with the meso-level functional zoning characteristics of the target city. The degree of fit between the two is analyzed in terms of the type of functional area, the core functional positioning of each functional area, the size of the area coverage, and the connection logic between functional areas. Each preliminary candidate scheme is assigned a corresponding functional layout matching degree value. According to the order of the preliminary candidate schemes, these matching degree values ​​are arranged in sequence to obtain the functional matching degree sequence of the target city.

[0051] The micro-plot characteristics of each preliminary candidate scheme are analyzed one by one. The similarity between the shape, size, spacing, building density and other details of the plots and the micro-plot texture characteristics of the target city is compared. By statistically analyzing the number and degree of matching of the two in these micro-attributes, a spatial texture similarity value is determined for each preliminary candidate scheme. According to the order of the preliminary candidate schemes, these similarity values ​​are arranged in sequence to obtain the texture similarity sequence of the target city.

[0052] The minimum acceptable values ​​for functional matching degree and spatial texture similarity are pre-set. First, preliminary candidate schemes with both values ​​higher than the corresponding minimum acceptable values ​​are selected. Then, the functional matching degree and spatial texture similarity values ​​of these schemes are comprehensively considered, and the schemes with both values ​​higher are given priority. Finally, the schemes that meet the requirements are determined as the candidate morphological layout schemes for the target city.

[0053] The beneficial effects are that by deconstructing multi-scale spatial features, the core attributes of the target city's spatial structure can be accurately captured. Combined with topological structure analysis and hierarchical screening logic, the candidate morphological layout schemes are ensured to be highly compatible with the target city at the three levels of macro-land use structure, meso-functional zoning, and micro-land texture. This effectively reduces the interference of inapplicable schemes, improves the accuracy and efficiency of candidate scheme retrieval, and provides high-quality basic materials for subsequent simulation and targeted adjustment of morphological layout schemes.

[0054] S4. Map the parameterized description of the candidate morphological layout scheme to the dynamic sensing network to obtain the virtual state of the target city, and based on the virtual state, simulate and deduce the dynamic data in the dynamic sensing network to obtain the interactive feedback of the target city. In this embodiment of the invention, mapping the parameterized description of the candidate morphological layout scheme to the dynamic sensing network to obtain the virtual state of the target city includes: A strategy association mapping is performed on the parameterized description of the candidate morphological layout scheme to obtain an adjustment scheme set for the candidate morphological layout scheme; Spatial location matching is performed between the set of adjustment schemes and the nodes of the dynamic sensing network to obtain the set of directly affected nodes and the set of indirectly affected edges of the dynamic sensing network. Based on the set of adjustment schemes, the attributes of the directly affected node set are optimized and adjusted to obtain the first virtual state of the target city; Based on the changes in node attributes in the first virtual state, the initial load of the indirectly affected edge set is correlated and mapped to obtain the second virtual state of the target city. The first virtual state and the second virtual state are cross-fused, and the consistency of the fused virtual state is verified to obtain the virtual state of the target city.

[0055] The step of simulating and extrapolating dynamic data in the dynamic sensing network based on the virtual state to obtain the interactive feedback of the target city includes: Based on the current state data of the dynamic sensing network, attribute verification is performed on the virtual state to obtain the state change area of ​​the target city. Spatially correlate the state change area with the dynamic sensing network to obtain dynamic data of the target city; Interactive simulations are performed on the state change area and the dynamic data to obtain interactive feedback from the target city.

[0056] The parameterized descriptions of the candidate layout schemes are analyzed one by one to clarify the specific planning adjustment direction corresponding to each parameter, such as land use change, facility scale adjustment, and road alignment optimization. Each parameter is associated with a practically implementable planning strategy. For example, the parameter "increase the proportion of residential land by 10%" is mapped to the specific adjustment strategy of "converting a certain industrial wasteland in the eastern part of the city into residential land and building a kindergarten and small commercial facilities." All the adjustment strategies corresponding to the parameters are systematically organized to form a set of adjustment schemes for the candidate layout schemes.

[0057] The specific spatial implementation coordinates and coverage of each adjustment strategy in the adjustment scheme are clearly defined. This spatial information is then accurately compared with the spatial coordinates of all nodes in the dynamic sensing network. Nodes whose spatial locations completely overlap or are within the core implementation range of the adjustment strategy are selected and summarized to form the set of directly affected nodes of the dynamic sensing network. At the same time, all edges directly connected to the directly affected nodes, as well as other adjacent edges further connected to these edges, are sorted out and summarized to form the set of indirectly affected edges of the dynamic sensing network.

[0058] By comparing the corresponding strategies in the adjustment scheme set, the attributes of each node in the directly affected node set are optimized and adjusted in a targeted manner. If the adjustment strategy is to upgrade the small cultural station corresponding to a certain node into a regional cultural center, the functional attribute of the node is updated from "small cultural station" to "regional cultural center", the service range attribute is expanded from 1.5 kilometers to 3 kilometers, and the demand characteristic attribute is supplemented and improved according to the public cultural needs that can be met after the upgrade. After all the attributes of the directly affected nodes have been adjusted according to the strategy, the first virtual state of the target city is obtained.

[0059] Observe the type and magnitude of changes in the attributes of each directly affected node in the first virtual state, such as the intensity of functional upgrades, the proportion of service range expansion, and the degree of capacity improvement. Based on these changes, analyze the impact on the initial load of each edge in the indirectly affected edge set. If the expansion of the service range of a node leads to an increase in the flow of surrounding population, increase the initial load of the indirectly affected edges connecting to that node by a reasonable proportion to ensure that the initial load of the edges is adapted to the changes in node attributes. After adjusting the initial load of all indirectly affected edges, the second virtual state of the target city is obtained.

[0060] The optimized node attribute information in the first virtual state is fully integrated with the adjusted initial edge load information in the second virtual state to form a complete association system between node attributes and edge load information. Then, the integrated virtual state is checked for logical contradictions. For example, if the number of users served increases significantly after a node's function is upgraded, but the corresponding edge load is not adjusted accordingly, the edge load value needs to be corrected according to the actual needs of the node attribute changes until the node attributes and edge load adjustments are completely matched and there are no logical conflicts, thus obtaining the virtual state of the target city.

[0061] Extract all state information of the current node attribute data, edge load data, spatiotemporal dynamic data, etc. of the dynamic sensing network, compare these data with the corresponding data in the virtual state item by item, find the spatial regions corresponding to the nodes and edges in the virtual state that differ from the current state data, clarify the specific boundary range of these regions and the corresponding attribute changes, and delineate these regions as the state change areas of the target city.

[0062] The spatial boundary of the state-change area is precisely matched with the overall spatial coverage of the dynamic sensing network. All dynamic data contained in the dynamic sensing network within the state-change area are extracted, including dynamic changes in public opinion associated with nodes in the area, population flow sequences and facility load sequences associated with edges, etc., to ensure that the extracted dynamic data can fully cover the spatiotemporal characteristics of the state-change area and obtain the dynamic data of the target city.

[0063] The simulation aims to implement the virtual state within the state change area, observe the interaction between node attribute adjustments, edge load changes, and dynamic data. For example, if a state change area is a newly added urban park, the simulation will show how changes in the travel paths of surrounding residents lead to adjustments in population flow data along relevant roads after the park is put into use, how the load data of park facilities changes with the number of users, and how the public's demands for park construction are met. The simulation will then summarize and organize the various results generated during the simulation process to obtain the interactive feedback from the target city.

[0064] The beneficial effects are that the virtual state constructed through precise strategy mapping, spatial matching and attribute adjustment can realistically restore the implementation scenario of candidate form layout schemes. Through attribute verification, spatial association and interactive simulation in the simulation process, the dynamic changes of urban space and various feedback information after the implementation of the scheme are fully captured, providing a comprehensive and realistic basis for the comprehensive evaluation of subsequent candidate form layout schemes, effectively improving the accuracy of scheme evaluation and the scientific nature of urban renewal planning decisions.

[0065] S5. Based on the interactive feedback, a comprehensive evaluation of the candidate shape layout scheme is performed to obtain the comprehensive adaptability of the candidate shape layout scheme. In this embodiment of the invention, the step of comprehensively evaluating the candidate shape layout schemes based on the interactive feedback to obtain the comprehensive adaptability of the candidate shape layout schemes includes: The effectiveness of the interactive feedback is evaluated to obtain the feedback intensity of the interactive feedback; The feedback intensity is normalized to obtain the standard feedback intensity of the interactive feedback; The feedback intensity is measured for discreteness to obtain the coefficient of variation of the feedback intensity; The comprehensive adaptability of the candidate morphological layout scheme is calculated based on the coefficient of variation and the standard feedback strength.

[0066] Each feedback item in the interactive feedback process is analyzed individually, considering factors such as the degree of satisfaction of public demands, the suitability of facility load, the smoothness of population flow, and the coordination of spatial functions. The actual contribution of each feedback item to the achievement of urban renewal planning goals is assessed. If a feedback item effectively solves core problems in the existing urban spatial layout or significantly improves urban operational efficiency, its utility level is determined to be high, and it is assigned a high intensity score. If the feedback only has a slight improvement effect on a local area, its utility level is determined to be medium, and it is assigned a medium intensity score. If the feedback does not substantially help achieve the planning goals or may even have a negative impact, its utility level is determined to be low, and it is assigned a low intensity score. The intensity scores of all feedback items are summed and calculated to obtain the feedback intensity of the interactive feedback.

[0067] First, we statistically analyze the range of all feedback intensities and determine the maximum and minimum values. Using the maximum value as a benchmark, we divide the specific value of each feedback intensity by the benchmark value to ensure that the results of all feedback intensities fall within a fixed range of 0 to 1. This eliminates the scale difference of intensity values ​​under different feedback dimensions, ensures that the intensity of each feedback is comparable horizontally, and finally obtains the standard feedback intensity of the interactive feedback.

[0068] First, calculate the arithmetic mean of all feedback intensity values, which is to add up all feedback intensity values ​​and divide by the total number of feedback intensity values. Then, calculate the difference between each feedback intensity value and the average value, square each difference, sum them up, and divide the sum by the total number of feedback intensity values ​​to obtain the variance. Take the square root of the variance to obtain the standard deviation of the feedback intensity. Finally, divide the standard deviation by the previously calculated arithmetic mean. The result of this series of calculations is the coefficient of variation of the feedback intensity, which is used to reflect the degree of dispersion among the various feedback intensities.

[0069] The standard feedback intensity is pre-set to have a weight of 0.7, and the coefficient of variation is pre-set to have a weight of 0.3. This weighting is determined based on the core roles of the standard feedback intensity in directly reflecting the adaptation effect of the scheme and the coefficient of variation in reflecting the adaptation stability. The standard feedback intensity is multiplied by its corresponding weight to obtain a weighted score for the standard feedback intensity. Since a larger coefficient of variation indicates stronger dispersion of the feedback intensity and worse adaptation stability of the scheme, the coefficient of variation is subtracted from the value of 1 and then multiplied by its corresponding weight to obtain a weighted score for the coefficient of variation. The two weighted scores are added together, and the resulting comprehensive value is the comprehensive adaptation degree of the candidate layout scheme.

[0070] The formula for calculating the comprehensive adaptability is as follows: ; in, This indicates the overall compatibility. This represents the preset weighting coefficient. This indicates the preset consistency adjustment parameters. Indicates the first The first type of feedback A standard feedback intensity, Indicates the first The total number of feedback types, Indicates the first The coefficient of variation of feedback-like data. This represents an exponential function.

[0071] The standard feedback strength for each type of feedback is derived from the utility evaluation of the interactive feedback, and then normalized. Each type of feedback contains several standard feedback strengths, and the total number of these standard feedback strengths is the number of standard feedback strengths in the same type of feedback.

[0072] The coefficient of variation is derived from the discreteness measure of the feedback intensity for each type of feedback, obtained by calculating the degree of dispersion of the feedback intensity in that type of feedback.

[0073] The weighting coefficients are pre-set to reflect the importance of different categories of feedback in the overall evaluation.

[0074] The consistency adjustment parameter is preset and is used to adjust the degree of influence of the coefficient of variation on the overall fit.

[0075] The average standard feedback intensity of a type of feedback is obtained by summing all the standard feedback intensities and dividing by the total number of such feedbacks. This value reflects the overall positiveness of such feedback.

[0076] The coefficient of variation is multiplied by the consistency adjustment parameter, and the negative number is taken. Then, the result is substituted into the exponential function for calculation. The result is used to reflect the consistency level of this type of feedback. The more concentrated and consistent the feedback is, the closer the result is to 1.

[0077] Multiply the average standard feedback intensity of each type of feedback by the corresponding index calculation result, then multiply by the weight coefficient of that type of feedback, and finally add up the calculation results of all categories. The resulting value is the comprehensive fit, which comprehensively reflects the degree of fit between the candidate layout scheme and the actual needs of the target city.

[0078] When the average standard feedback intensity of a certain type of feedback increases, the corresponding calculation component of that type of feedback will increase, and if other conditions remain unchanged, the overall fit will increase accordingly.

[0079] When the coefficient of variation of a certain type of feedback increases, the corresponding index calculation result will decrease, the calculation sub-item corresponding to that type of feedback will decrease, and if other conditions remain unchanged, the overall fit will decrease accordingly.

[0080] When the weight coefficient of a certain type of feedback increases, the influence of the corresponding calculation item on the overall fit will increase, and the changes in its average standard feedback intensity and coefficient of variation will have a more significant effect on the overall fit.

[0081] The beneficial effects are as follows: by evaluating the utility of interactive feedback, normalizing it, measuring its discreteness, and performing comprehensive calculations, the actual effect and stability of the scheme adaptation are fully considered. The obtained comprehensive adaptation degree can objectively and accurately reflect the degree of fit between the candidate form layout scheme and the actual needs of the target city, avoiding the one-sidedness of single-dimensional evaluation. It provides a scientific and reliable quantitative basis for subsequent targeted adjustments based on the adaptation degree, and improves the rationality and accuracy of urban renewal planning form layout scheme decisions.

[0082] S6. Based on the comprehensive adaptability, the candidate morphological layout schemes are adjusted in a targeted manner to obtain the final morphological layout scheme of the target city.

[0083] In this embodiment of the invention, the step of adjusting the candidate morphological layout schemes according to the comprehensive adaptability to obtain the final morphological layout scheme of the target city includes: Based on the feedback intensity of the interactive feedback in the target city, determine the suitability classification threshold of the target city; The overall adaptability and the adaptability grading threshold are matched for similarity to obtain the adaptability level of the candidate morphological layout scheme; When the adaptation level is high, the candidate form layout scheme will be used as the final form layout scheme of the target city. When the adaptation level is medium, based on the statistical characteristics of the interactive feedback and the historical adjustment records, the parameterized description in the candidate morphological layout scheme is optimized in multiple objectives to obtain the final morphological layout scheme of the target city. When the adaptation level is low, the target city's morphological layout scheme library is optimally screened based on the core conflict features in the dynamic perception network to obtain the final morphological layout scheme of the target city.

[0084] The method of performing multi-objective optimization on the parametric description of the candidate morphological layout scheme based on the statistical features and historical adjustment records of the interactive feedback to obtain the final morphological layout scheme of the target city includes: The statistical characteristics and historical adjustment records of the interactive feedback are encapsulated and encoded to obtain the basic optimization instructions for the target city; The basic tuning instructions are conflict-resolved to obtain the optimized tuning instructions for the target city. Based on the feedback intensity of the interactive feedback, the optimization and tuning instructions are arranged to obtain the tuning instruction sequence for the target city; Based on the optimization instruction sequence, the parameterized descriptions in the candidate morphological layout schemes are modified one by one to obtain the intermediate morphological layout scheme of the target city. The intermediate layout scheme is convergent to obtain the final layout scheme of the target city.

[0085] The specific values ​​of all feedback intensities in the interactive feedback of the target city were statistically analyzed to clarify the distribution range and concentration interval of these values. Based on the core objectives and actual needs of urban renewal planning, three different fit interval standards were defined. The comprehensive fit value corresponding to the top 30% of feedback intensity was set as the high fit threshold, the comprehensive fit value corresponding to the middle 40% was set as the medium fit threshold, and the comprehensive fit value corresponding to the bottom 30% was set as the low fit threshold. Finally, the fit level threshold of the target city was determined.

[0086] The specific numerical value of the comprehensive adaptability of the candidate layout schemes is compared one by one with the established high, medium and low adaptability grading thresholds to determine the threshold range to which the value belongs. If the comprehensive adaptability value is higher than the high adaptability threshold, it means that the scheme is highly compatible with the actual needs of the city and is matched with a high adaptability level. If the value is between the high adaptability threshold and the low adaptability threshold, it means that the scheme basically meets the needs but still has room for optimization and is matched with a medium adaptability level. If the value is lower than the low adaptability threshold, it means that the scheme has a large gap with the needs of the city and is matched with a low adaptability level.

[0087] When the adaptation level of the candidate form layout scheme is high, it indicates that the scheme performs well in multiple dimensions such as meeting public demands, adapting to facility load, and coordinating spatial functions. It can fully meet the current conditions and development needs of the target city and does not require additional adjustments. The candidate form layout scheme can be directly determined as the final form layout scheme of the target city.

[0088] When the adaptation level is medium, first comprehensively review the statistical characteristics of interactive feedback, including the types of public demands that occur frequently, the urban areas where feedback intensity is concentrated, and the main problems existing in the operation of facilities. At the same time, retrieve relevant adjustment records from historical cases of urban renewal planning, analyze the effective adjustment directions and specific measures in similar scenarios, and transform these statistical characteristics and historical adjustment experience into standardized optimization instructions. Each instruction clearly defines the corresponding adjustment object, adjustment direction, and expected goal, such as "increase the configuration density of public toilets in the old city to one every 500 meters" and "optimize the connection angle between main roads and branch roads in the new city". Summarize these to form the basic optimization instructions for the target city.

[0089] A comprehensive review of the basic optimization instructions is conducted to identify spatial conflicts, functional contradictions, or resource allocation conflicts among the instructions. For example, one instruction requires "building a community hospital on a certain plot of land," while another instruction requires "building a large supermarket on the same plot of land." There is a conflict in space occupation between the two. In this case, in accordance with the principle of prioritizing public service facilities in urban planning, the instruction to build the community hospital is retained, and the construction site of the large supermarket is adjusted to a suitable unoccupied location in the surrounding area. All conflicts are eliminated through prioritization, space reallocation, and other methods to obtain the optimized optimization instructions for the target city.

[0090] The intensity of interactive feedback corresponding to each optimization and adjustment instruction is statistically analyzed. The higher the feedback intensity, the more public attention the issue addressed by the instruction receives and the more significant its impact on the urban renewal effect. All optimization and adjustment instructions are sorted in descending order of feedback intensity to form a logically clear and prioritized sequence of optimization instructions for the target city.

[0091] Following the sequence of optimization instructions, the parameterized descriptions in the candidate layout schemes are modified one by one. For example, for the first instruction in the sequence, "increase the density of public toilets in the old city," the parameter "one public toilet every 800 meters in the old city" is changed to "one every 500 meters." For the second instruction, "optimize the connection angle between main roads and branch roads in the new city," the connection angle parameter is adjusted from "30 degrees" to "45 degrees." After all the parameters corresponding to the optimization instructions have been corrected, the intermediate layout scheme of the target city is obtained.

[0092] A comprehensive verification of the intermediate layout scheme is conducted to check whether the parameters in the scheme meet the requirements of the city's overall plan, whether the layout of each functional area is coordinated and reasonable, and whether there are any unresolved spatial conflicts or functional contradictions. At the same time, it is assessed whether the core indicators tend to stabilize after the implementation of the scheme, such as the facility matching rate, traffic efficiency, and public satisfaction, have reached the preset standards. After confirming that all the contents of the scheme are complete and there are no logical conflicts and the indicators are stable, the convergence finalization is completed, and the final layout scheme of the target city is obtained.

[0093] When the adaptation level is low, a thorough analysis of the core conflict characteristics in the dynamic perception network is conducted to identify the key issues leading to low adaptation, such as a severe imbalance between concentrated population flow areas and the distribution of public facilities, conflicts between the layout around core geographical features and ecological protection requirements, and the failure to effectively respond to the core demands of the public. Based on these core conflict characteristics, a re-search is conducted in the pre-set morphological layout scheme library to select schemes that can specifically resolve these core conflicts. The selected schemes are briefly evaluated, and the scheme with the strongest conflict resolution and the highest degree of fit with the urban spatial structure is prioritized and determined as the final morphological layout scheme for the target city.

[0094] The beneficial effects are that by carrying out targeted adjustments based on the comprehensive adaptability classification, differentiated processing of candidate schemes with different adaptability levels is achieved. High adaptability schemes are directly adopted to improve decision-making efficiency, medium adaptability schemes are precisely improved by multi-objective optimization, and low adaptability schemes are re-screened to ensure feasibility. The whole process fully relies on the results and data support of the previous assessment, and combines the actual needs of the city and historical experience, effectively ensuring the scientificity, rationality and adaptability of the final layout scheme, so that urban renewal planning can better fit the actual development of the city and the core demands of the public.

[0095] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0096] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0097] Finally, 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.

Claims

1. A dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning, characterized in that, The method includes: S1. Using administrative management points, public facility points, and geographical features of the target city as nodes, and road connections and management links of the target city as edges, construct the current status perception network of the target city; S2. Bind the public opinion data of the target city to the nodes of the current situation perception network, and associate the population flow data and facility load data of the target city to the edges of the current situation perception network to obtain the dynamic perception network of the target city. S3. Based on the spatial structure of the target city, perform an association search on the preset morphological layout scheme library to obtain candidate morphological layout schemes for the target city. S4. Map the parameterized description of the candidate morphological layout scheme to the dynamic sensing network to obtain the virtual state of the target city, and based on the virtual state, simulate and deduce the dynamic data in the dynamic sensing network to obtain the interactive feedback of the target city. S5. Based on the interactive feedback, a comprehensive evaluation of the candidate shape layout scheme is performed to obtain the comprehensive adaptability of the candidate shape layout scheme. S6. Based on the comprehensive adaptability, the candidate morphological layout schemes are adjusted in a targeted manner to obtain the final morphological layout scheme of the target city.

2. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The construction of a current status perception network for the target city, using administrative management points, public facilities, and geographical features as nodes and road connections and management links as edges, includes: Collect administrative boundary data, road centerline data, public facility location data, and natural feature outline data of the target city to obtain the initial vector dataset of the target city; Spatial unification processing is performed on the initial vector dataset to obtain the standard spatial vector dataset of the target city; The spatial vectors in the standard spatial vector dataset are used to construct the initial spatial topology of the target city. By performing correlation analysis on the jurisdictional levels and service areas in the target city, the management relationships of the target city can be obtained; Based on the initial spatial topology, the management connections and road connections of the target city are strengthened into edges, and entities in the target city with key administrative attributes, core functional attributes, and significant geographical attributes are established as nodes, thus constructing the current status perception network of the target city.

3. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The step of binding the public opinion data of the target city to the nodes of the current status perception network includes: Collect public opinion data in the target cities; The public opinion data is standardized to obtain the standard opinion set for the target city; The standard opinion set is subjected to sentiment tendency discrimination to obtain the sentiment intensity of the standard opinion set; Based on the spatial attribute description of the standard opinion set, the emotional intensity is assigned to the nodes of the current situation perception network to obtain the demand characteristics of the target city; The aforementioned demand characteristics are added as dynamic attributes to the node attributes of the current situation perception network to complete the binding of the public opinion data and the node.

4. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The step of associating the population flow data and facility load data of the target city with the edges of the current status sensing network to obtain the dynamic sensing network of the target city includes: Statistical analysis of population flow data and infrastructure load data for the target city; The population flow data and the facility load data are spatiotemporally fused, and the fused data is discretized to obtain the population-facility data point set of the target city; Based on the spatial coverage of the current situation perception network, the population-facility data point set is aggregated in a grid to obtain the spatiotemporal grid data volume of the target city. Based on the spatial geometric path of the current situation perception network, attribute extraction is performed on the spatiotemporal grid data volume to obtain the traffic sequence and load sequence of the target city. The traffic sequence and the load sequence are used as the original spatiotemporal attribute sequences of the edges in the current situation perception network; The original spatiotemporal attribute sequence is decomposed into a trend term to obtain the long-term baseline load and short-term dynamic load components of the original spatiotemporal attribute sequence. The long-term baseline load and the short-term dynamic load components are structurally encapsulated to obtain the structural time-series data of the target city. The structured time series data is associated with the edge attributes of the current status perception network to obtain the dynamic perception network of the target city.

5. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The step of performing a correlation search on a preset morphological layout scheme library based on the spatial structure of the target city to obtain candidate morphological layout schemes for the target city includes: The spatial structure of the target city is deconstructed at multiple scales to obtain the macro-land use structure characteristics, meso-level functional zoning characteristics, and micro-level land texture characteristics of the target city. The topological structure of the schemes in the preset morphological layout scheme library is analyzed to obtain the land use characteristics of the morphological layout scheme library. The difference between the macro-land use structure characteristics and the land use characteristics is quantified to obtain the land use difference degree of the target city; Based on the land use difference, the morphological layout scheme library is initially screened to obtain preliminary candidate schemes for the target city; Based on the aforementioned meso-level functional zoning characteristics, a functional layout matching degree analysis is performed on the preliminary candidate schemes to obtain the functional matching degree sequence of the target city. Based on the micro-plot texture characteristics, the spatial texture similarity of the preliminary candidate schemes is statistically analyzed to obtain the texture similarity sequence of the target city. Based on the functional matching degree sequence and the texture similarity sequence, the preliminary candidate schemes are precisely screened to obtain the candidate morphological layout schemes for the target city.

6. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The step of mapping the parameterized description of the candidate morphological layout scheme to the dynamic perception network to obtain the virtual state of the target city includes: A strategy association mapping is performed on the parameterized description of the candidate morphological layout scheme to obtain an adjustment scheme set for the candidate morphological layout scheme; Spatial location matching is performed between the set of adjustment schemes and the nodes of the dynamic sensing network to obtain the set of directly affected nodes and the set of indirectly affected edges of the dynamic sensing network. Based on the set of adjustment schemes, the attributes of the directly affected node set are optimized and adjusted to obtain the first virtual state of the target city; Based on the changes in node attributes in the first virtual state, the initial load of the indirectly affected edge set is correlated and mapped to obtain the second virtual state of the target city. The first virtual state and the second virtual state are cross-fused, and the consistency of the fused virtual state is verified to obtain the virtual state of the target city.

7. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The step of simulating and extrapolating dynamic data in the dynamic sensing network based on the virtual state to obtain the interactive feedback of the target city includes: Based on the current state data of the dynamic sensing network, attribute verification is performed on the virtual state to obtain the state change area of ​​the target city. Spatially correlate the state change area with the dynamic sensing network to obtain dynamic data of the target city; Interactive simulations are performed on the state change area and the dynamic data to obtain interactive feedback from the target city.

8. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The step of comprehensively evaluating the candidate layout schemes based on the interactive feedback to obtain the comprehensive adaptability of the candidate layout schemes includes: The effectiveness of the interactive feedback is evaluated to obtain the feedback intensity of the interactive feedback; The feedback intensity is normalized to obtain the standard feedback intensity of the interactive feedback; The feedback intensity is measured for discreteness to obtain the coefficient of variation of the feedback intensity; The comprehensive adaptability of the candidate morphological layout scheme is calculated based on the coefficient of variation and the standard feedback strength.

9. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 1, characterized in that, The step of adjusting the candidate layout schemes according to the comprehensive adaptability to obtain the final layout scheme of the target city includes: Based on the feedback intensity of the interactive feedback in the target city, determine the suitability classification threshold of the target city; The overall adaptability and the adaptability grading threshold are matched for similarity to obtain the adaptability level of the candidate morphological layout scheme; When the adaptation level is high, the candidate form layout scheme will be used as the final form layout scheme of the target city. When the adaptation level is medium, based on the statistical characteristics of the interactive feedback and the historical adjustment records, the parameterized description in the candidate morphological layout scheme is optimized in multiple objectives to obtain the final morphological layout scheme of the target city. When the adaptation level is low, the target city's morphological layout scheme library is optimally screened based on the core conflict features in the dynamic perception network to obtain the final morphological layout scheme of the target city.

10. The dynamic adjustment decision-making method for morphological layout schemes in urban renewal planning as described in claim 9, characterized in that, The method of performing multi-objective optimization on the parametric description of the candidate morphological layout scheme based on the statistical features and historical adjustment records of the interactive feedback to obtain the final morphological layout scheme of the target city includes: The statistical characteristics and historical adjustment records of the interactive feedback are encapsulated and encoded to obtain the basic optimization instructions for the target city; The basic tuning instructions are conflict-resolved to obtain the optimized tuning instructions for the target city. Based on the feedback intensity of the interactive feedback, the optimization and tuning instructions are arranged to obtain the tuning instruction sequence for the target city; Based on the optimization instruction sequence, the parameterized descriptions in the candidate morphological layout schemes are modified one by one to obtain the intermediate morphological layout scheme of the target city. The intermediate layout scheme is convergent to obtain the final layout scheme of the target city.

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