A block division method and system based on a three-dimensional space model, a terminal, and a storage medium

Abstract

The application relates to the technical field of data processing, and discloses a block division method and system based on a three-dimensional space model, a terminal and a storage medium. The method comprises the following steps: dividing input parameters to obtain basic parameters and strength parameters, integrating the basic parameters and the strength parameters to obtain a three-dimensional space model; obtaining preset three-level intensive elements, calculating a target block area according to the preset three-level intensive elements and a preset function to obtain forced constraint indexes, development control indexes and intensive optimization indexes, dividing the target block area and arranging buildings based on the three-dimensional space model to obtain a three-dimensional space division scheme; quantitatively evaluating the three-dimensional space division scheme to obtain an evaluation result score; and when the evaluation result score does not reach a preset threshold, optimizing the three-dimensional space division scheme to obtain a target three-dimensional space division scheme. The application divides a block area based on a three-dimensional space model, generates a scheme, and realizes accurate division of the block area.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a block partitioning method, system, terminal, and computer-readable storage medium based on a three-dimensional spatial model. Background Technology

[0002] As urban development shifts from incremental expansion to improving the quality of existing resources, the focus of urban construction is shifting from large-scale outward expansion to the efficient utilization, quality improvement, and refined management of existing spaces. Against this backdrop, high-intensity urban areas, as crucial urban spaces carrying diverse functions such as business offices, public services, transportation hubs, and mixed-use living, directly impact land use efficiency, traffic efficiency, public space quality, and overall urban operational efficiency through their intensive spatial utilization. High-intensity urban areas typically feature high development intensity, high functional complexity, compact spatial form, complex traffic connections, and high building density. Compared to general urban areas, their spatial organization cannot be achieved simply by road division or building layout; rather, it involves the coupling relationships between multiple elements, including the area's road network, plot-scale division, building form control, mixed-use configuration, pedestrian system organization, and public space integration. Therefore, in high-intensity urban areas, plot division is not only a technical step in determining land boundaries but also a crucial foundation affecting traffic accessibility, development capacity, building layout efficiency, street-facing continuity, and spatial intensification.

[0003] Traditional methods for dividing high-intensity land parcels (such as static planning and single-scale optimization tools that rely on human experience) are limited to a single spatial level in terms of optimization granularity (only adjusting locally at the area, parcel, or building scale), cannot detect and correct multi-scale collaborative imbalances in advance during the generation process, and may introduce additional time costs and subjective biases due to repeated human trial and error. As a result, it is difficult to achieve efficient and accurate division of land parcels in multi-constraint, highly complex 3D spatial model scenarios, which has become an urgent problem to be solved.

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

[0005] The main objective of this invention is to provide a block division method, system, terminal, and computer-readable storage medium based on a three-dimensional spatial model, aiming to solve the problem that existing technologies cannot achieve efficient and accurate block division in scenarios with multiple constraints and high complexity of three-dimensional spatial models.

[0006] To achieve the above objectives, the present invention provides a block partitioning method based on a three-dimensional spatial model, the block partitioning method based on a three-dimensional spatial model comprising the following steps: Acquire basic spatial information, development intensity requirements, and input parameters of the target area; divide the input parameters according to the basic spatial information and development intensity requirements to obtain basic parameters and intensity parameters; integrate the basic parameters and intensity parameters to establish a three-dimensional spatial model. Obtain preset three-level intensive elements and parameterized building prototypes. Calculate the target area based on the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators. Based on the three-dimensional spatial model and the parameterized building prototypes, divide the target area into plots according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial division scheme. The three-dimensional space partitioning scheme is quantitatively evaluated based on the intensive optimization index to obtain an evaluation result score. When the evaluation result score does not reach a preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain a target three-dimensional space partitioning scheme.

[0007] Optionally, in the block division method based on a three-dimensional spatial model, the basic parameters include site boundary line, center geometry, and model library; The process of acquiring basic spatial information, development intensity requirements, and input parameters for the target area, dividing the input parameters according to the basic spatial information and development intensity requirements to obtain basic parameters and intensity parameters, and integrating the basic parameters and intensity parameters to establish a three-dimensional spatial model specifically includes: Obtain the basic spatial information, development intensity requirements and input parameters of the target area, and divide the input parameters according to the basic spatial information and the development intensity requirements to obtain the site boundary line, central geometry, model library and intensity parameters; The site boundary line, the central geometry, the model library, and the intensity parameters are extracted to obtain key information. The key information is then divided to obtain spatial geometric information, spatial topological information, and planning control information. The spatial geometric information, the spatial topology information, and the planning and control information are integrated to establish a three-dimensional spatial model; The strength parameters include target floor area ratio, road network density, road network width, building spacing, and building coverage.

[0008] Optionally, in the block partitioning method based on a three-dimensional spatial model, the preset three-level intensive elements include constraint layer constants, control layer variables, and target layer indicators. The process involves acquiring preset three-level intensive elements and a parametric building prototype, calculating the target area based on the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators, and then, based on the three-dimensional spatial model and the parametric building prototype, dividing the target area into plots according to a step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial division scheme. Specifically, this includes: Obtain constraint layer constants, control layer variables, and target layer indices; constrain the target region according to the constraint layer constants and preset functions to obtain forced constraint indices; The target area is adjusted according to the control layer variables and preset functions to obtain development control indicators; The target area is quantitatively evaluated based on the target layer indicators and preset functions to obtain intensive optimization indicators; Obtain a parametric building prototype. Based on the three-dimensional spatial model and the parametric building prototype, divide the target area into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index, and the intensive optimization index to obtain a three-dimensional spatial division scheme.

[0009] Optionally, in the block division method based on a three-dimensional spatial model, the intensive optimization indicators include road accessibility, average number of building floors, and street-facing proportion. The step of quantitatively evaluating the target area based on the target layer indicators and a preset function to obtain intensive optimization indicators specifically includes: Based on the target layer indicators and preset functions, accessibility analysis is performed on the traffic connection efficiency of the target area to obtain road accessibility. The vertical capacity configuration and development intensity of the target area are analyzed based on the target layer index and preset function to obtain the average number of building floors. The proportion of the interface organization and street vitality of the target area is calculated based on the target layer indicators and preset functions to obtain the proportion of the street frontage.

[0010] Optionally, the block partitioning method based on a three-dimensional spatial model, wherein obtaining a parametric building prototype, and based on the three-dimensional spatial model and the parametric building prototype, partitioning the target area into blocks according to a step-by-step iterative generation strategy, the mandatory constraint index, the development control index, and the intensive optimization index, to obtain a three-dimensional spatial partitioning scheme, specifically includes: Obtain an initial building prototype, and perform modularization on the initial building prototype to obtain a parametric building prototype; Based on the three-dimensional spatial model and the parametric building prototype, the target area is divided into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index and the intensive optimization index, to obtain the main road network skeleton and the roadside building interface; A three-dimensional building block is obtained. Based on the main road network framework and the roadside building interface, the three-dimensional building block is coordinated and adjusted to obtain multiple remaining plots. All the remaining plots are adjusted to obtain a three-dimensional space division scheme.

[0011] Optionally, the block partitioning method based on a three-dimensional spatial model, wherein the step of quantitatively evaluating the three-dimensional spatial partitioning scheme according to the intensive optimization index to obtain an evaluation result score, and when the evaluation result score does not reach a preset threshold, iteratively optimizing the three-dimensional spatial partitioning scheme to obtain a target three-dimensional spatial partitioning scheme, specifically includes: The three-dimensional space division scheme is quantitatively evaluated based on the road accessibility, the average number of building floors, and the proportion of street frontage, and an evaluation score is obtained. Determine whether the evaluation result score exceeds the preset threshold; When the evaluation result score does not exceed the preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain the target three-dimensional space partitioning scheme; When the evaluation result score exceeds the preset threshold, the evaluation index is determined based on the road accessibility, the average number of building floors, the proportion of street frontage, and the three-dimensional space division scheme.

[0012] Optionally, the block partitioning method based on a three-dimensional spatial model, wherein when the evaluation result score does not exceed the preset threshold, the three-dimensional spatial partitioning scheme is iteratively optimized to obtain a target three-dimensional spatial partitioning scheme, specifically includes: When the evaluation result score does not exceed the preset threshold, the parameters of the three-dimensional space division scheme are adjusted to obtain the target parameters; The model is replaced by the three-dimensional space partitioning scheme to obtain the target model parameters; The land parcels are reorganized according to the three-dimensional spatial division scheme to obtain the target land parcels; The building volume is optimized based on the three-dimensional spatial division scheme to obtain the target volume; The three-dimensional space partitioning scheme is updated based on the target parameters, the target model parameters, the target plot, and the target volume to obtain the target three-dimensional space partitioning scheme.

[0013] Furthermore, to achieve the above objectives, the present invention also provides a block partitioning system based on a three-dimensional spatial model, wherein the block partitioning system based on the three-dimensional spatial model is as follows: The 3D model construction module is used to obtain the basic spatial information, development intensity requirements and input parameters of the target area, divide the input parameters according to the basic spatial information and the development intensity requirements to obtain basic parameters and intensity parameters, and integrate the basic parameters and intensity parameters to establish a 3D spatial model. The 3D model partitioning module is used to obtain preset three-level intensive elements and parametric building prototypes. Based on the preset three-level intensive elements and preset functions, the target area is calculated to obtain mandatory constraint indicators, development control indicators and intensive optimization indicators. Based on the 3D spatial model and the parametric building prototypes, the target area is partitioned into plots according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators and the intensive optimization indicators to obtain a 3D spatial partitioning scheme. The spatial partitioning scheme optimization module is used to quantitatively evaluate the three-dimensional spatial partitioning scheme according to the intensive optimization index and obtain the evaluation result score. When the evaluation result score does not reach the preset threshold, the three-dimensional spatial partitioning scheme is iteratively optimized to obtain the target three-dimensional spatial partitioning scheme.

[0014] Furthermore, to achieve the above objectives, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a block partitioning program based on a three-dimensional spatial model, and when the block partitioning program based on the three-dimensional spatial model is executed by a processor, it implements the steps of the block partitioning method based on the three-dimensional spatial model as described above.

[0015] This invention acquires basic spatial information, development intensity requirements, and input parameters for a target area. Based on the basic spatial information and development intensity requirements, the input parameters are divided to obtain basic parameters and intensity parameters. These basic parameters and intensity parameters are then integrated to establish a three-dimensional spatial model. Preset three-level intensive elements and parametric building prototypes are acquired. Based on the preset three-level intensive elements and preset functions, the target area is calculated to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators. Based on the three-dimensional spatial model and the parametric building prototypes, the target area is divided into plots according to a step-by-step iterative generation strategy, the mandatory constraint indicators, development control indicators, and intensive optimization indicators to obtain a three-dimensional spatial division scheme. The three-dimensional spatial division scheme is quantitatively evaluated based on the intensive optimization indicators to obtain an evaluation score. When the evaluation score does not reach a preset threshold, the three-dimensional spatial division scheme is iteratively optimized to obtain the target three-dimensional spatial division scheme. This invention, based on a three-dimensional spatial model, divides plots in an area and generates schemes, achieving accurate plot division of the area. Attached Figure Description

[0016] Figure 1 This is a flowchart of a preferred embodiment of the block partitioning method based on a three-dimensional spatial model of the present invention; Figure 2 This is a schematic diagram of the preset three-level intensive elements of a preferred embodiment of the block division method based on a three-dimensional spatial model of the present invention; Figure 3 This is a schematic diagram of the block partitioning framework of a preferred embodiment of the block partitioning method based on a three-dimensional spatial model of the present invention; Figure 4 This is a schematic diagram of a building combination of a preferred embodiment of the block division method based on a three-dimensional spatial model of the present invention; Figure 5 This is a structural diagram of a preferred embodiment of the block partitioning system based on a three-dimensional spatial model of the present invention; Figure 6 This is a structural diagram of a preferred embodiment of the terminal of the device of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0018] Traditional methods for dividing high-intensity land parcels (such as static planning and single-scale optimization tools that rely on human experience) are limited to a single spatial level in terms of optimization granularity (only adjusting locally at the area, parcel, or building scale), cannot detect and correct multi-scale collaborative imbalances in advance during the generation process, and may introduce additional time costs and subjective biases due to repeated human trial and error. As a result, it is difficult to achieve efficient and accurate division of three-dimensional regions in scenarios with multiple constraints and high complexity of three-dimensional spatial models. Therefore, there is a need for a block division method based on three-dimensional spatial models, which divides three-dimensional regions based on the three-dimensional regions of the three-dimensional spatial model, generates schemes, and achieves accurate division of three-dimensional regions.

[0019] The preferred embodiment of the block partitioning method based on a three-dimensional spatial model described in this invention, such as... Figure 1 and Figure 2 As shown, the block partitioning method based on a three-dimensional spatial model includes the following steps: Step S10: Obtain the basic spatial information, development intensity requirements and input parameters of the target area; divide the input parameters according to the basic spatial information and the development intensity requirements to obtain basic parameters and intensity parameters; integrate the basic parameters and the intensity parameters to establish a three-dimensional spatial model.

[0020] Step S10 includes: Step S11: Obtain the basic spatial information, development intensity requirements and input parameters of the target area; divide the input parameters according to the basic spatial information and the development intensity requirements to obtain the site boundary line, central geometry, model library and intensity parameters. Step S12: Extract the site boundary line, the center geometry, the model library and the intensity parameters to obtain key information, divide the key information to obtain spatial geometric information, spatial topology information and planning control information; Step S13: Integrate the spatial geometric information, the spatial topology information, and the planning and control information to establish a three-dimensional spatial model.

[0021] Specifically, such as Figure 2As shown, the basic spatial information, development intensity requirements, and input parameters of the target area are obtained. Based on the basic spatial information and development intensity requirements, the input parameters are divided to obtain the site boundary, central geometry, model library, and intensity parameters (intensity parameters also include plot area, building footprint area, total building area, plot ratio, building density, building height control, green space ratio, proportion of public open space, development intensity, population density, employment density, transportation accessibility, road network density, rail station service radius, and public service facility coverage). The site boundary, central geometry, model library, and intensity parameters are extracted to obtain key information (the processed basic parameters and intensity parameters are then imported into the 3D city generation plugin). In the computing platform, the system uses a plugin to quickly identify imported data and automatically extract key information related to land parcel division and 3D modeling. This key information is then divided to obtain spatial geometric information, spatial topological information, and planning control information. These three types of information are then integrated to establish a 3D spatial model. The basic parameters include site boundaries, central geometry, and a model library (basic parameters also include study area boundaries, road boundaries, land parcel boundaries, land use, existing building outlines, building heights, number of building floors, building functions, rail stations, bus stops, public service facilities, green spaces and water systems, open spaces, pocket parks, slow-traffic systems, terrain elevation, and existing imagery).

[0022] As an example, key information related to land parcel division, road generation, building block layout, and 3D spatial model construction is automatically extracted. This key information includes at least four categories: The first category is spatial geometric information, including the research area boundary, road red lines, existing road centerlines, land parcel boundaries, building outlines, green space boundaries, and public open space boundaries; the second category is spatial topological information, including the adjacency relationships between land parcels and roads, the adjacency relationships between land parcels, the inclusion relationship between buildings and land parcels, the adjacency relationship between buildings and roads, and the connectivity relationship between green spaces and open spaces; the third category is planning control information, including land use, plot ratio control values, building density control values, building height control values, building setback distances, green space ratio, public open space ratio, road grade, and road width; the fourth category is generation control information, including minimum land parcel size, maximum land parcel size, primary and secondary road widths, building spacing, target development intensity, target building density, building prototype type, random seed, text annotation height, and model export path.

[0023] Step S20: Obtain preset three-level intensive elements and parameterized building prototypes. Calculate the target area based on the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators. Based on the three-dimensional spatial model and the parameterized building prototypes, divide the target area into plots according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial division scheme.

[0024] like Figure 2 As shown, step S20 includes: Step S21: Obtain constraint layer constants, control layer variables, and target layer indicators; constrain the target region according to the constraint layer constants and preset functions to obtain forced constraint indicators. Step S22: Adjust the parameters of the target area according to the control layer variables and preset functions to obtain development control indicators; Step S23: Quantitatively evaluate the target area based on the target layer indicators and preset functions to obtain intensive optimization indicators; Step S24: Obtain the parametric building prototype. Based on the three-dimensional spatial model and the parametric building prototype, divide the target area into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index, and the intensive optimization index to obtain a three-dimensional spatial division scheme.

[0025] Specifically, the process involves obtaining constraint layer constants, control layer variables, and target layer indicators. Constraints are applied to the target area based on the constraint layer constants and preset functions to obtain mandatory constraint indicators. Parameter adjustments are made to the target area based on the control layer variables and preset functions to obtain development control indicators. The target area is then quantitatively evaluated based on the target layer indicators and preset functions to obtain intensive optimization indicators. A parametric building prototype is obtained. Based on the three-dimensional spatial model and the parametric building prototype, the target area is divided into blocks according to a step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial partitioning scheme. The preset three-level intensive elements include constraint layer constants, control layer variables, and target layer indicators.

[0026] In this embodiment, the preset three-level intensive elements can be represented as Y=f(X,C), where f represents the mapping rule, C represents the constraint layer constant, mainly including mandatory constraint indicators such as mandatory enforcement specifications, supplementary specifications, and local clauses, used to limit the basic control conditions that must be met in the process of land parcel division and building generation; X represents the control layer variable, mainly including development control indicators such as plot ratio range and intensity quantile, road network density and road grade, location intensity and centrality, used to set the benchmark anchor point for the upper limit of the total development intensity, determine the structural skeleton of land parcel division form and scale, and guide the organizational core of intensity and functional gradient distribution; Y represents the target layer indicator, mainly including intensive optimization indicators such as road accessibility, street frontage ratio, and average number of building floors, used to evaluate the spatial intensive level of the generated results.

[0027] As an example, constraint layer constants: Constraint layer constants are used to define inviolable rigid boundaries and are the bottom-line conditions for the entire generation process. Constraint layer constants may include: building fire separation distance requirements, minimum road clear width requirements, building setback requirements, building spacing requirements, passage space requirements, and other mandatory regulatory requirements related to plot division and building layout. The role of the constraint layer is to ensure the legality and feasibility of the generated scheme. In other words, all subsequent generation results must be carried out within the boundaries set by this layer. Control layer variables: Control layer variables are used to set adjustable planning control variables and are the main source of parameters affecting scheme differences. The control layer may include: plot ratio range, intensity quantile, road network density, road grade structure, location intensity, and centrality distribution. The role of control layer variables is to transform the development intensity, spatial structure, and functional distribution requirements at the area level into specific input parameters. By adjusting these parameters, multiple candidate schemes under different intensity modes can be obtained. Target layer indicators: Target layer indicators are used to quantitatively evaluate the generated results and are also the basis for feedback optimization. The target-level indicators include the following three core indicators: road accessibility, street frontage ratio, and average number of building floors. Among them, road accessibility mainly reflects the efficiency of traffic connections at the area level; street frontage ratio mainly reflects the interface organization and street vitality at the plot level; and average number of building floors mainly reflects the vertical capacity configuration and development intensity at the building level. Together, these three constitute the core evaluation criteria for the spatial intensification of high-intensity areas.

[0028] Step S23 includes: Step S231: Perform accessibility analysis on the traffic connection efficiency of the target area based on the target layer index and preset function to obtain road accessibility; Step S232: Analyze the vertical capacity configuration and development intensity expression of the target area based on the target layer index and preset function to obtain the average number of building floors; Step S233: Calculate the proportion of the interface organization and street vitality of the target area based on the target layer index and preset function to obtain the proportion of the street frontage.

[0029] Specifically, accessibility analysis is performed on the traffic connection efficiency of the target area based on the target layer indicators and preset functions to obtain road accessibility. The vertical capacity configuration and development intensity of the target area are analyzed based on the target layer indicators and preset functions to obtain the average number of building floors. The proportion of interface organization and street vitality in the target area is calculated based on the target layer indicators and preset functions to obtain the street frontage proportion. The intensive optimization indicators include road accessibility, average number of building floors, and street frontage proportion. Road accessibility mainly reflects the traffic connection efficiency at the area level; street frontage proportion mainly reflects the interface organization and street vitality at the plot level; and average number of building floors mainly reflects the vertical capacity configuration and development intensity at the building level. These three factors together constitute the core evaluation criteria for the spatial intensification of high-intensity areas.

[0030] In this embodiment, firstly, road accessibility is used to measure the connectivity efficiency of the road system within the area, reflecting the level of traffic organization and spatial connectivity at the area scale. This indicator allows for the determination of whether the generated scheme has formed a relatively efficient road network and spatial accessibility, thereby improving the efficiency of traffic operation and spatial organization within the area. The introduction of this indicator means that land parcel division is no longer based solely on static road boundaries, but rather on a quantitative assessment of the overall structure of the area from the perspective of traffic accessibility, resulting in improved traffic efficiency and optimized spatial connectivity. Secondly, the street-facing ratio is used to measure the organizational relationship between the building facade and the street boundary, reflecting the continuity of the facade, street vitality, and spatial penetration at the land parcel scale. This indicator allows for the determination of whether a good street-facing relationship is formed between the building layout and the road system, avoiding problems such as excessively large land parcel scale, excessive building setbacks, or insufficient street facade. The introduction of this indicator helps improve the efficiency of land use and the vitality of the street facade, optimizing spatial quality while also enhancing the utilization efficiency of street-front commerce, public services, and open spaces. Furthermore, the average number of floors per building is used to measure the overall level of building floor configuration, reflecting the vertical capacity organization at the building scale. This indicator helps determine whether building height, building capacity, and target development intensity are matched, avoiding problems such as insufficient development intensity or excessive concentration of space. The introduction of this indicator helps optimize building height and capacity distribution while meeting development control requirements such as floor area ratio.

[0031] Step S24 includes: Step S241: Obtain an initial building prototype, and perform modularization on the initial building prototype to obtain a parameterized building prototype; Step S242: Based on the three-dimensional spatial model and the parametric building prototype, the target area is divided into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index and the intensive optimization index to obtain the main road network skeleton and the roadside building interface; Step S243: Obtain three-dimensional building blocks, and coordinately adjust the three-dimensional building blocks according to the main road network skeleton and the roadside building interface to obtain multiple remaining plots. Adjust all the remaining plots to obtain a three-dimensional space division scheme.

[0032] Specifically, such as Figure 3 and Figure 4 As shown, an initial building prototype is obtained, and the initial building prototype is modularized (in the parametric decomposition stage, the initial building prototype is modularized and decomposed into multiple parametric building prototypes) to obtain parametric building prototypes. Based on the three-dimensional spatial model and the parametric building prototypes, the target area is divided into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index, and the intensive optimization index to obtain the main road network skeleton (based on the location intensity and centrality parameters of the development control index and the intensive optimization index, the location of the central area is determined in the target area, and the main road network skeleton is constructed with the central area as the core. The central area is used to form the area's intensity core, and the main road network skeleton is used to form the main structural framework for subsequent block division and building layout) and roadside building interfaces (based on the basic block units of the development control index and the intensive optimization index, on both sides of the main road network according to The rules call upon building prototypes to sequentially generate roadside building interfaces and form corresponding plot boundaries and plot combinations, obtaining 3D building blocks. Based on the main road network framework and the roadside building interfaces, the 3D building blocks are collaboratively adjusted (the road system and building form are collaboratively adjusted; for road redundancy, insufficient road smoothness, or building overlap that occurs during the generation process, the road system and building positions and forms are collaboratively adjusted to improve road network efficiency and spatial organization rationality), resulting in multiple remaining plots (remaining plot identification and spatial refinement; identifying remaining plots formed after the main generation process, and based on the scale, location, and boundary conditions of the remaining plots, continuing to arrange suitable building prototypes, or supplementing with plazas, green spaces, and open spaces, ultimately forming a complete plot division scheme). All the remaining plots are adjusted to obtain a 3D spatial division scheme, and further, key node buildings are arranged. Key node buildings are preferentially arranged at the corners of the central area, at the intersections of the main road network, at the entrances of the area, or at landscape interface locations to establish spatial anchors for the area, enhancing overall recognizability and structural stability.

[0033] Step S30: Quantitatively evaluate the three-dimensional space partitioning scheme according to the intensive optimization index to obtain the evaluation result score. When the evaluation result score does not reach the preset threshold, iteratively optimize the three-dimensional space partitioning scheme to obtain the target three-dimensional space partitioning scheme.

[0034] Step S30 includes: Step S31: Quantitatively evaluate the three-dimensional space division scheme based on the road accessibility, the average number of building floors, and the proportion of street frontage, and obtain the evaluation result score; Step S32: Determine whether the evaluation result score exceeds the preset threshold; Step S33: When the evaluation result score does not exceed the preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain the target three-dimensional space partitioning scheme; Step S34: When the evaluation result score exceeds the preset threshold, the evaluation index is determined based on the road accessibility, the average number of building floors, the proportion of street frontage, and the three-dimensional space division scheme.

[0035] Specifically, the three-dimensional space division scheme is quantitatively evaluated based on the road accessibility, the average number of building floors, and the proportion of street frontage to obtain an evaluation score. It is then determined whether the evaluation score exceeds a preset threshold. If the evaluation score does not exceed the preset threshold, the three-dimensional space division scheme is iteratively optimized to obtain a target three-dimensional space division scheme. If the evaluation score exceeds the preset threshold, evaluation indicators are determined based on the road accessibility, the average number of building floors, the proportion of street frontage, and the three-dimensional space division scheme (the generated scheme undergoes intensive performance evaluation, and the evaluation score is compared with the preset threshold. If the scheme does not meet the requirements, feedback is provided to adjust relevant parameters and regenerate to obtain the target three-dimensional space division scheme; if the scheme meets the requirements, evaluation indicators are determined based on the land parcel division results, road accessibility, the proportion of street frontage, and the average number of building floors).

[0036] In this embodiment, the three indicators mentioned above are compared with preset thresholds to form a comprehensive evaluation score for the land parcel division scheme. When the evaluation score does not meet the requirements, the process returns to the control layer to adjust the plot ratio range, road network density, centrality distribution, or building prototype calling method, and re-executes the step-by-step iterative generation. When the evaluation score meets the requirements, the final land parcel division scheme and corresponding evaluation indicators are output. Through the above method, a closed-loop optimization process of "input-generation-evaluation-feedback" is formed. On the one hand, at the technical level, it realizes collaborative evaluation and feedback optimization among the three scales of area, parcel, and building, improving the scientificity, refinement, and comparability of the land parcel division results. On the other hand, at the economic level, it can reduce the cost of repeated manual deduction and scheme modification, and improve the efficiency of scheme generation and comparison. At the same time, in three-dimensional space, it helps to improve the traffic accessibility, street continuity, and spatial vitality of high-density areas, enhance the quality of urban space, and provide technical support for urban renewal, stock quality improvement, and refined governance of high-density areas.

[0037] Step S33 includes: Step S331: When the evaluation result score does not exceed the preset threshold, the parameters of the three-dimensional space division scheme are adjusted to obtain the target parameters; Step S332: Replace the model of the three-dimensional space partitioning scheme to obtain the target model parameters; Step S333: Reorganize the plots according to the three-dimensional spatial division scheme to obtain the target plots; Step S334: Optimize the building volume of the three-dimensional space division scheme to obtain the target volume; Step S335: Update the three-dimensional space partitioning scheme according to the target parameters, the target model parameters, the target plot and the target volume to obtain the target three-dimensional space partitioning scheme.

[0038] Specifically, when the evaluation result score does not exceed the preset threshold, the parameters of the three-dimensional space division scheme are adjusted to obtain target parameters, the model of the three-dimensional space division scheme is replaced to obtain target model parameters, the plots of the three-dimensional space division scheme are reorganized to obtain target plots, the building volume of the three-dimensional space division scheme is optimized to obtain target volume, and the three-dimensional space division scheme is updated according to the target parameters, the target model parameters, the target plots, and the target volume to obtain the target three-dimensional space division scheme (iteration is achieved through parameter adjustment, model replacement, plot reorganization, building volume optimization, and public space supplementation).

[0039] In this embodiment, the system adjusts the development intensity of land parcels: when the system identifies that the development intensity of some land parcels is too high or too low, it can adjust the plot ratio, building density, building height, or building layout to make the development intensity of the area more balanced. It also optimizes the building massing: when building blocks are too concentrated, building spacing is insufficient, or the skyline is monotonous, the system can improve the spatial form and urban interface by adjusting the tower location, podium height, building setbacks, and block combination. Furthermore, it supplements public open spaces: when the system identifies insufficient coverage of pocket parks, street corner plazas, or public green spaces, it can add open spaces at road intersections, building setback spaces, edges of inefficient land parcels, or around public facilities to improve the public space service capacity of the area. Finally, it optimizes pedestrian and cycling organization: when the system identifies insufficient connections between land parcels, inconvenient rail station connections, or weak pedestrian continuity, it can improve the accessibility and pedestrian friendliness of the area by adding pedestrian walkways, underground connecting spaces, second-floor corridors, or street open interfaces. Enhancing the efficiency of mixed-use space: For high-intensity central areas, the comprehensive utilization efficiency of land units can be improved through functional integration, above-ground and underground linkage, sharing of public spaces, and open-plan building floors.

[0040] Furthermore, such as Figure 5 As shown, based on the above-described block partitioning method based on a three-dimensional spatial model, the present invention also provides a block partitioning system based on a three-dimensional spatial model, wherein the block partitioning system based on a three-dimensional spatial model includes: The three-dimensional model construction module 51 is used to obtain the basic spatial information, development intensity requirements and input parameters of the target area, divide the input parameters according to the basic spatial information and the development intensity requirements to obtain basic parameters and intensity parameters, and integrate the basic parameters and intensity parameters to establish a three-dimensional spatial model. The 3D model partitioning module 52 is used to obtain preset three-level intensive elements and parametric building prototypes, calculate the target area according to the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators and intensive optimization indicators, and partition the target area according to the 3D spatial model and the parametric building prototypes, based on the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators and the intensive optimization indicators to obtain a 3D spatial partitioning scheme; The spatial partitioning scheme optimization module 53 is used to quantitatively evaluate the three-dimensional spatial partitioning scheme according to the intensive optimization index and obtain the evaluation result score. When the evaluation result score does not reach the preset threshold, the three-dimensional spatial partitioning scheme is iteratively optimized to obtain the target three-dimensional spatial partitioning scheme.

[0041] Furthermore, such as Figure 6As shown, based on the above-mentioned block division method and system based on a three-dimensional spatial model, the present invention also provides a terminal, which includes a processor 10, a memory 20 and a display 30. Figure 6 Only some of the terminal components are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0042] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory. In other embodiments, the memory 20 may be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc. Further, the memory 20 may include both internal and external storage devices. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code installed on the terminal. The memory 20 can also be used to temporarily store data that has been output or will be output. In one embodiment, the memory 20 stores a block partitioning program 40 based on a three-dimensional spatial model, which can be executed by the processor 10 to implement the block partitioning method based on a three-dimensional spatial model in this application.

[0043] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory 20 or process data, such as executing the block partitioning method based on the three-dimensional spatial model.

[0044] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 30 is used to display information on the terminal and to display a visual user interface. The terminals communicate with each other via a system bus.

[0045] In one embodiment, when the processor 10 executes the block partitioning program 40 based on the three-dimensional spatial model in the memory 20, the following steps are performed: Acquire basic spatial information, development intensity requirements, and input parameters of the target area; divide the input parameters according to the basic spatial information and development intensity requirements to obtain basic parameters and intensity parameters; integrate the basic parameters and intensity parameters to establish a three-dimensional spatial model. Obtain preset three-level intensive elements and parameterized building prototypes. Calculate the target area based on the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators. Based on the three-dimensional spatial model and the parameterized building prototypes, divide the target area into plots according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial division scheme. The three-dimensional space partitioning scheme is quantitatively evaluated based on the intensive optimization index to obtain an evaluation result score. When the evaluation result score does not reach a preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain a target three-dimensional space partitioning scheme. The basic parameters include site boundary line, center geometry, and model library; The process of acquiring basic spatial information, development intensity requirements, and input parameters for the target area, dividing the input parameters according to the basic spatial information and development intensity requirements to obtain basic parameters and intensity parameters, and integrating the basic parameters and intensity parameters to establish a three-dimensional spatial model specifically includes: Obtain the basic spatial information, development intensity requirements and input parameters of the target area, and divide the input parameters according to the basic spatial information and the development intensity requirements to obtain the site boundary line, central geometry, model library and intensity parameters; The site boundary line, the central geometry, the model library, and the intensity parameters are extracted to obtain key information. The key information is then divided to obtain spatial geometric information, spatial topological information, and planning control information. The spatial geometric information, the spatial topology information, and the planning and control information are integrated to establish a three-dimensional spatial model; The strength parameters include target floor area ratio, road network density, road network width, building spacing, and building coverage.

[0046] The preset three-level intensive elements include constraint layer constants, control layer variables, and target layer indicators; The process involves acquiring preset three-level intensive elements and a parametric building prototype, calculating the target area based on the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators, and then, based on the three-dimensional spatial model and the parametric building prototype, dividing the target area into plots according to a step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial division scheme. Specifically, this includes: Obtain constraint layer constants, control layer variables, and target layer indices; constrain the target region according to the constraint layer constants and preset functions to obtain forced constraint indices; The target area is adjusted according to the control layer variables and preset functions to obtain development control indicators; The target area is quantitatively evaluated based on the target layer indicators and preset functions to obtain intensive optimization indicators; Obtain a parametric building prototype. Based on the three-dimensional spatial model and the parametric building prototype, divide the target area into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index, and the intensive optimization index to obtain a three-dimensional spatial division scheme.

[0047] The intensive optimization indicators include road accessibility, average number of building floors, and percentage of street frontage; The step of quantitatively evaluating the target area based on the target layer indicators and a preset function to obtain intensive optimization indicators specifically includes: Based on the target layer indicators and preset functions, accessibility analysis is performed on the traffic connection efficiency of the target area to obtain road accessibility. The vertical capacity configuration and development intensity of the target area are analyzed based on the target layer index and preset function to obtain the average number of building floors. The proportion of the interface organization and street vitality of the target area is calculated based on the target layer indicators and preset functions to obtain the proportion of the street frontage.

[0048] The step of obtaining the parametric building prototype involves dividing the target area into blocks based on the three-dimensional spatial model and the parametric building prototype, according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators, to obtain a three-dimensional spatial division scheme, specifically including: Obtain an initial building prototype, and perform modularization on the initial building prototype to obtain a parametric building prototype; Based on the three-dimensional spatial model and the parametric building prototype, the target area is divided into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index and the intensive optimization index, to obtain the main road network skeleton and the roadside building interface; A three-dimensional building block is obtained. Based on the main road network framework and the roadside building interface, the three-dimensional building block is coordinated and adjusted to obtain multiple remaining plots. All the remaining plots are adjusted to obtain a three-dimensional space division scheme.

[0049] Specifically, the process of quantitatively evaluating the three-dimensional space partitioning scheme based on the intensive optimization index to obtain an evaluation score, and then iteratively optimizing the three-dimensional space partitioning scheme to obtain a target three-dimensional space partitioning scheme when the evaluation score does not reach a preset threshold, includes: The three-dimensional space division scheme is quantitatively evaluated based on the road accessibility, the average number of building floors, and the proportion of street frontage, and an evaluation score is obtained. Determine whether the evaluation result score exceeds the preset threshold; When the evaluation result score does not exceed the preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain the target three-dimensional space partitioning scheme; When the evaluation result score exceeds the preset threshold, the evaluation index is determined based on the road accessibility, the average number of building floors, the proportion of street frontage, and the three-dimensional space division scheme.

[0050] Specifically, when the evaluation result score does not exceed the preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain the target three-dimensional space partitioning scheme, which includes: When the evaluation result score does not exceed the preset threshold, the parameters of the three-dimensional space division scheme are adjusted to obtain the target parameters; The model is replaced by the three-dimensional space partitioning scheme to obtain the target model parameters; The land parcels are reorganized according to the three-dimensional spatial division scheme to obtain the target land parcels; The building volume is optimized based on the three-dimensional spatial division scheme to obtain the target volume; The three-dimensional space partitioning scheme is updated based on the target parameters, the target model parameters, the target plot, and the target volume to obtain the target three-dimensional space partitioning scheme.

[0051] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a block partitioning program based on a three-dimensional spatial model, and the block partitioning program based on the three-dimensional spatial model, when executed by a processor, implements the steps of the block partitioning method based on the three-dimensional spatial model as described above.

[0052] In summary, this invention provides a method, system, terminal, and storage medium for block partitioning based on a three-dimensional spatial model. The method includes: acquiring basic spatial information, development intensity requirements, and input parameters of a target area; partitioning the input parameters according to the basic spatial information and development intensity requirements to obtain basic parameters and intensity parameters; integrating the basic parameters and intensity parameters to establish a three-dimensional spatial model; acquiring preset three-level intensive elements and parametric building prototypes; calculating the target area according to the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators; partitioning the target area into blocks according to the three-dimensional spatial model and the parametric building prototypes, based on a step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators, to obtain a three-dimensional spatial partitioning scheme; quantitatively evaluating the three-dimensional spatial partitioning scheme according to the intensive optimization indicators to obtain an evaluation result score; and iteratively optimizing the three-dimensional spatial partitioning scheme when the evaluation result score does not reach a preset threshold to obtain a target three-dimensional spatial partitioning scheme. This invention is based on a three-dimensional spatial model to divide the land parcels into areas and generate a scheme to achieve accurate division of the land parcels.

[0053] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal system that includes that element.

[0054] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The computer-readable storage medium can be a memory, magnetic disk, optical disk, etc.

[0055] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A block partitioning method based on a three-dimensional spatial model, characterized in that, The block partitioning method based on the three-dimensional spatial model includes: Acquire basic spatial information, development intensity requirements, and input parameters of the target area; divide the input parameters according to the basic spatial information and development intensity requirements to obtain basic parameters and intensity parameters; integrate the basic parameters and intensity parameters to establish a three-dimensional spatial model. Obtain preset three-level intensive elements and parameterized building prototypes. Calculate the target area based on the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators. Based on the three-dimensional spatial model and the parameterized building prototypes, divide the target area into plots according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial division scheme. The three-dimensional space partitioning scheme is quantitatively evaluated based on the intensive optimization index to obtain an evaluation result score. When the evaluation result score does not reach a preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain a target three-dimensional space partitioning scheme. The basic parameters include site boundary lines, center geometry, and model library; The process of acquiring basic spatial information, development intensity requirements, and input parameters for the target area, dividing the input parameters according to the basic spatial information and development intensity requirements to obtain basic parameters and intensity parameters, and integrating the basic parameters and intensity parameters to establish a three-dimensional spatial model specifically includes: Obtain the basic spatial information, development intensity requirements and input parameters of the target area, and divide the input parameters according to the basic spatial information and the development intensity requirements to obtain the site boundary line, central geometry, model library and intensity parameters; The site boundary line, the central geometry, the model library, and the intensity parameters are extracted to obtain key information. The key information is then divided to obtain spatial geometric information, spatial topological information, and planning control information. The spatial geometric information, the spatial topology information, and the planning and control information are integrated to establish a three-dimensional spatial model; The strength parameters include target floor area ratio, road network density, road network width, building spacing, and building coverage.

2. The block partitioning method based on a three-dimensional spatial model according to claim 1, characterized in that, The preset three-level intensive elements include constraint layer constants, control layer variables, and target layer indicators; The process involves acquiring preset three-level intensive elements and a parametric building prototype, calculating the target area based on the preset three-level intensive elements and preset functions to obtain mandatory constraint indicators, development control indicators, and intensive optimization indicators, and then, based on the three-dimensional spatial model and the parametric building prototype, dividing the target area into plots according to a step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators to obtain a three-dimensional spatial division scheme. Specifically, this includes: Obtain constraint layer constants, control layer variables, and target layer indices; constrain the target region according to the constraint layer constants and preset functions to obtain forced constraint indices; The target area is adjusted according to the control layer variables and preset functions to obtain development control indicators; The target area is quantitatively evaluated based on the target layer indicators and preset functions to obtain intensive optimization indicators; Obtain a parametric building prototype. Based on the three-dimensional spatial model and the parametric building prototype, divide the target area into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index, and the intensive optimization index to obtain a three-dimensional spatial division scheme.

3. The block partitioning method based on a three-dimensional spatial model according to claim 2, characterized in that, The intensive optimization indicators include road accessibility, average number of building floors, and percentage of street frontage. The step of quantitatively evaluating the target area based on the target layer indicators and a preset function to obtain intensive optimization indicators specifically includes: Based on the target layer indicators and preset functions, accessibility analysis is performed on the traffic connection efficiency of the target area to obtain road accessibility. The vertical capacity configuration and development intensity of the target area are analyzed based on the target layer index and preset function to obtain the average number of building floors. The proportion of the interface organization and street vitality of the target area is calculated based on the target layer indicators and preset functions to obtain the proportion of the street frontage.

4. The block partitioning method based on a three-dimensional spatial model according to claim 3, characterized in that, The process of obtaining the parametric building prototype involves, based on the three-dimensional spatial model and the parametric building prototype, dividing the target area into blocks according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators, and the intensive optimization indicators, to obtain a three-dimensional spatial partitioning scheme, specifically including: Obtain an initial building prototype, and perform modularization on the initial building prototype to obtain a parametric building prototype; Based on the three-dimensional spatial model and the parametric building prototype, the target area is divided into blocks according to the step-by-step iterative generation strategy, the mandatory constraint index, the development control index and the intensive optimization index, to obtain the main road network skeleton and the roadside building interface; A three-dimensional building block is obtained. Based on the main road network framework and the roadside building interface, the three-dimensional building block is coordinated and adjusted to obtain multiple remaining plots. All the remaining plots are adjusted to obtain a three-dimensional space division scheme.

5. The block partitioning method based on a three-dimensional spatial model according to claim 3, characterized in that, The process involves quantitatively evaluating the three-dimensional space partitioning scheme based on the intensive optimization index to obtain an evaluation score. If the evaluation score does not reach a preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain a target three-dimensional space partitioning scheme. Specifically, this includes: The three-dimensional space division scheme is quantitatively evaluated based on the road accessibility, the average number of building floors, and the proportion of street frontage, and an evaluation score is obtained. Determine whether the evaluation result score exceeds the preset threshold; When the evaluation result score does not exceed the preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain the target three-dimensional space partitioning scheme; When the evaluation result score exceeds the preset threshold, the evaluation index is determined based on the road accessibility, the average number of building floors, the proportion of street frontage, and the three-dimensional space division scheme.

6. The block partitioning method based on a three-dimensional spatial model according to claim 5, characterized in that, When the evaluation result score does not exceed the preset threshold, the three-dimensional space partitioning scheme is iteratively optimized to obtain the target three-dimensional space partitioning scheme, specifically including: When the evaluation result score does not exceed the preset threshold, the parameters of the three-dimensional space division scheme are adjusted to obtain the target parameters; The model is replaced by the three-dimensional space partitioning scheme to obtain the target model parameters; The land parcels are reorganized according to the three-dimensional spatial division scheme to obtain the target land parcels; The building volume is optimized based on the three-dimensional spatial division scheme to obtain the target volume; The three-dimensional space partitioning scheme is updated based on the target parameters, the target model parameters, the target plot, and the target volume to obtain the target three-dimensional space partitioning scheme.

7. A block partitioning system based on a three-dimensional spatial model, characterized in that, The block partitioning system based on the three-dimensional spatial model is applied to the block partitioning method based on the three-dimensional spatial model according to any one of claims 1-6, wherein the block partitioning system based on the three-dimensional spatial model includes: The 3D model construction module is used to obtain the basic spatial information, development intensity requirements and input parameters of the target area, divide the input parameters according to the basic spatial information and the development intensity requirements to obtain basic parameters and intensity parameters, and integrate the basic parameters and intensity parameters to establish a 3D spatial model. The 3D model partitioning module is used to obtain preset three-level intensive elements and parametric building prototypes. Based on the preset three-level intensive elements and preset functions, the target area is calculated to obtain mandatory constraint indicators, development control indicators and intensive optimization indicators. Based on the 3D spatial model and the parametric building prototypes, the target area is partitioned into plots according to the step-by-step iterative generation strategy, the mandatory constraint indicators, the development control indicators and the intensive optimization indicators to obtain a 3D spatial partitioning scheme. The spatial partitioning scheme optimization module is used to quantitatively evaluate the three-dimensional spatial partitioning scheme according to the intensive optimization index and obtain the evaluation result score. When the evaluation result score does not reach the preset threshold, the three-dimensional spatial partitioning scheme is iteratively optimized to obtain the target three-dimensional spatial partitioning scheme.

8. A terminal, characterized in that, The terminal includes: a memory, a processor, and a block partitioning program based on a three-dimensional spatial model stored in the memory and executable on the processor. When the block partitioning program based on the three-dimensional spatial model is executed by the processor, it implements the steps of the block partitioning method based on a three-dimensional spatial model as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a block partitioning program based on a three-dimensional spatial model, which, when executed by a processor, implements the steps of the block partitioning method based on a three-dimensional spatial model as described in any one of claims 1-6.

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