A method for generating spatial structure of historical sites by synergizing historical mechanisms with current urban functions

Abstract

This invention provides a method for generating the spatial structure of historical sites that synergizes historical mechanisms with current urban functions. The method includes: mining the evolutionary mechanisms of the historical site's holographic pattern formation based on multi-evolutionary modal cellular automata, obtaining an evaluation of the historical space's evolutionary advantage, and deducing the historical space's directed structure based on a graph algorithm; mining the historical site's contraction evolutionary mechanisms and evaluating the compatibility strength of the historical attributes of open spaces based on a multi-type land use spatiotemporal evolution cellular automaton model; evaluating the public utilization potential of urban open spaces based on spatial configuration theory and multi-source spatial utilization data; and generating a fragmented urban historical site spatial structure using a weighted graph-inspired search algorithm, utilizing the historical space's directed structure, historical space evolutionary advantage evaluation, historical attribute compatibility strength evaluation, and public utilization potential evaluation, as a basic structure for site protection and revitalization development. This invention provides theoretical and methodological guidance for urban design innovation, as well as operational guidance.

Description

Technical Field

[0001] The present invention relates to the field of urban design technology, and in particular to a method for generating a spatial structure of a historical section by coordinating historical mechanisms with current urban functions. Background Art

[0002] In recent decades, rapid urban expansion has replaced gradual evolution, leading to a fragmented layout of previously intact historical sites. Cities urgently need to explore the holistic value of fragmented historical sites at a meso-scale. At the same time, the decaying and chaotic urban spaces among these fragments need to be revitalized and repurposed. Restructuring historical sites to align historical mechanisms with current urban functions is a crucial issue at the intersection of urban preservation and urban renewal.

[0003] The reconstruction of the spatial structure of historical sites involves two key issues:

[0004] 1. Comprehensive evaluation of space value;

[0005] 2. Structure generation based on spatial evaluation.

[0006] At present, existing research on the evaluation of spatial value remains at the static status quo of space, does not involve historical and process-based spatial evolution, and often ignores actual needs. At the same time, spatial structures are either generated based on static status quo evaluation based on various path-finding algorithms, or there is no evaluation process, only based on similar spatial plane sample diagrams, artificially and subjectively extracting morphological control parameter values, defining structure generation rules, and generating them with the help of parametric configuration platforms such as CityEngine. Summary of the Invention

[0007] In order to overcome the shortcomings of the existing technology, the purpose of the present invention is to provide a method for generating the spatial structure of historical sites that coordinates historical mechanisms with current urban functions, which can provide theoretical and methodological guidance for urban design innovation and provide operational guidance through digitalization, visualization and other technologies.

[0008] To achieve the above object, the present invention provides the following solutions:

[0009] A method for generating spatial structures of historical sites that synergizes historical mechanisms with current urban functions, including:

[0010] Based on multi-evolutionary modal cellular automata, we explore the evolutionary mechanism of the historical location pattern, obtain the evaluation of the historical space evolution advantage, and deduce the directed structure of the historical space based on graph algorithms;

[0011] Based on the spatiotemporal evolution cellular automaton model of multi-type land use, the shrinkage evolution mechanism of historical sites and the compatibility strength evaluation of historical attributes of open spaces are explored;

[0012] Obtaining public utilization potential evaluation of urban open space based on spatial configuration theory and multi-source space utilization data;

[0013] Utilizing the directed structure of historical space, the evaluation of the evolutionary advantages of historical space, the evaluation of the compatibility strength of historical attributes and the evaluation of the public utilization potential, a fragmented urban historical site spatial structure is generated based on a weighted graph-inspired search algorithm as the basic structure for site protection and revitalization development.

[0014] Preferably, the multi-evolutionary modal cellular automaton is used to explore the evolutionary mechanism of the historical location pattern, obtain the historical space evolution advantage evaluation, and deduce the historical space directed structure based on the graph algorithm, including:

[0015] Based on the historical satellite image data, historical maps, early military surveying and mapping, local chronicles and landform records of the research area, data correction and deviation correction were carried out, and the spatial evolution process data of the area during its formation period was reconstructed using the time section method;

[0016] Using the spatial evolution process data of the site generation period to train a multi-evolutionary modal cellular automaton, a historical spatial evolution advantage evaluation model is obtained, and historical spatial development nodes are identified and marked;

[0017] The historical space development nodes are evaluated by using the historical space evolution advantage evaluation model and the distance between nodes, and the minimum weight spanning tree algorithm is used to generate the historical space directed structure based on the node evaluation.

[0018] Preferably, the cellular automaton model of spatiotemporal evolution of multi-type land use is used to explore the shrinkage evolution mechanism of historical sites and the compatibility strength evaluation of historical attributes of open spaces, including:

[0019] Analyze multi-time section satellite images of historical site contraction periods and reconstruct data on the spatial evolution of site contraction periods;

[0020] Using the spatial evolution process data of the site during its contraction period, a cellular automaton model of spatiotemporal evolution of multi-type land use is trained to analyze the planning disturbance factors during the landscape change stage and obtain a historical spatial contraction probability evaluation model;

[0021] The historical space contraction probability evaluation model is used to evaluate the compatibility strength of the current urban open space with historical attributes, so as to obtain the historical attribute compatibility strength evaluation.

[0022] Preferably, the historical space contraction probability evaluation model p i The calculation formula of (s) is: i (s)=P(s i ,v i ;S neighbors (i),V neighbors(i)); where s represents all possible states of cell i, s i Indicates the current state of the cell, v i Indicates the current characteristics of the cell; S neighbors (i) and V neighbors (i) represent the state and eigenvector of all the current neighbors of the cell respectively.

[0023] Preferably, the public utilization potential evaluation of urban open space is obtained based on spatial configuration theory and multi-source space utilization data, including:

[0024] Based on space syntax, the configuration parameters of the open space in the historical area were analyzed, and the standardized angle integration and standardized angle selectivity were selected to evaluate the open space nodes and lines as the evaluation values ​​of the advantages of space utilization and activation conditions.

[0025] Multi-source data is used to measure the temporal and spatial patterns of daily travel and activities of real residents in the study area, and the travel hotspot layout is formed through kernel density analysis as the evaluation value of the actual space utilization demand;

[0026] The evaluation value of the space utilization activation condition advantage and the evaluation value of the space actual utilization demand are weighted and superimposed to obtain the public utilization potential evaluation of the urban open space.

[0027] Preferably, the fragmented urban historical site spatial structure is generated based on a weighted graph heuristic search algorithm using the historical space directed structure, the historical space evolution advantage evaluation, the historical attribute compatibility strength evaluation, and the public utilization potential evaluation, as the basic structure for site protection and revitalization development, including:

[0028] Based on the historical spatial evolution advantage evaluation value of each node during the period of complete historical site morphology, for the currently disappeared spatial nodes, those with a value higher than the set threshold are regenerated and superimposed with the remaining historical nodes to form a set of usable historical nodes;

[0029] Based on the obtained public utilization potential evaluation of urban open space, the current urban spatial nodes are evaluated, and the functional nodes with potential values ​​higher than the set threshold are incorporated into the decision-making of the historical section node set, which is defined as the usable current node set. The usable historical node set is then superimposed on the usable current node set to obtain the historical section node set.

[0030] The weighted superposition of the historical spatial evolution advantage evaluation value of urban open space, the value of the historical attribute compatibility strength evaluation value, and the value of the public utilization potential evaluation value is used to comprehensively assign a value to the medium space between nodes as the connection weight;

[0031] According to the directed structure of the historical space, the A* heuristic search algorithm is used to generate a historical section structure based on nodes and authorized connections.

[0032] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0033] The present invention provides a method for generating the spatial structure of historical sites that coordinates historical mechanisms with current urban functions, including: mining the evolutionary mechanism of the historical site's complete pattern formation based on a multi-evolutionary modal cellular automaton to obtain an evaluation of the historical space's evolutionary advantage, and deducing the historical space's directed structure based on a graph algorithm; mining the historical site's contraction evolutionary mechanism and evaluating the compatibility strength of the historical attributes of open space based on a multi-type land use spatiotemporal evolution cellular automaton model; obtaining an evaluation of the public utilization potential of urban open space based on spatial configuration theory and multi-source spatial utilization data; and generating a fragmented urban historical site spatial structure based on a weighted graph-inspired search algorithm using the historical space's directed structure, the historical space's evolutionary advantage evaluation, the historical attribute compatibility strength evaluation, and the public utilization potential evaluation as the basic structure for site protection and revitalization development. Taking fragmented urban historical sites as the research object, the present invention defines a data processing framework device for simulating and mining the underlying principles of the dynamic pattern evolution process, and explores methods for reconstructing the spatial structure of historical sites based on historical evolutionary mechanisms and the current urban living space structure. Provide theoretical and methodological guidance for urban design innovation, and provide operational guidance through digitalization, visualization and other technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 A flow chart of a method provided by an embodiment of the present invention;

[0036] Figure 2 The embodiment of the present invention provides a schematic diagram of generating a directed structure of a historical space based on a historical space evolution advantage evaluation model and distance evaluation between nodes. DETAILED DESCRIPTION

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0038] The purpose of this invention is to provide a method for generating the spatial structure of historical sites that coordinates historical mechanisms with current urban functions, which can provide theoretical and methodological guidance for urban design innovation and provide operational guidance through digitalization, visualization and other technologies.

[0039] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0040] Figure 1 A flow chart of the method provided in the embodiment of the present invention is shown in FIG. Figure 1 As shown, the present invention provides a method for generating the spatial structure of historical sites by coordinating historical mechanisms with current urban functions, including:

[0041] Step 100: Based on the multi-evolutionary modal cellular automaton, the evolution mechanism of the historical section gestalt pattern is mined to obtain the historical space evolution advantage evaluation, and the directed structure of the historical space is deduced based on the graph algorithm;

[0042] Step 200: mining the shrinkage evolution mechanism of historical sites and evaluating the compatibility strength of historical attributes of open spaces based on a cellular automaton model of spatiotemporal evolution of multi-type land use;

[0043] Step 300: Obtaining public utilization potential evaluation of urban open space based on spatial configuration theory and multi-source space utilization data;

[0044] Step 400: Utilizing the historical space directed structure, historical space evolution advantage evaluation, historical attribute compatibility strength evaluation, and public use potential evaluation, a fragmented urban historical site spatial structure is generated based on a weighted graph-inspired search algorithm as the basic structure for site protection and revitalization development.

[0045] Specifically, the steps of this embodiment include:

[0046] Step 1: Based on multi-evolutionary modal cellular automata, explore the evolutionary mechanism of the historical section's complete pattern, obtain the evaluation of the historical space evolution advantage, and deduce the historical space directed structure based on graph algorithms.

[0047] Step 2: Based on the cellular automaton model of multi-type land use spatiotemporal evolution, the shrinkage evolution mechanism of historical sites and the compatibility strength evaluation of historical attributes of open spaces are explored.

[0048] Step 3: Obtaining an evaluation of the public utilization potential of urban open spaces based on spatial configuration theory and multi-source space utilization data

[0049] Step 4: Using the "historical spatial directed structure" obtained from steps 1, 2, and 3 and the multivariate evaluation, a fragmented urban historical site spatial structure is generated based on a weighted graph-inspired search algorithm as the basic structure for site protection and revitalization development.

[0050] Specifically, the process of step one is:

[0051] Step 1: Based on the historical satellite image data, historical maps, early military surveying and mapping, local chronicles and land feature records of the study area, data correction and deviation rectification are carried out, and the spatial evolution process data of the area during the formation period is reconstructed using the time section method.

[0052] Step 2: Use the spatial evolution process data of the site generation period described in Step 1 to train a multi-evolution mode cellular automaton (which can nonlinearly switch between multiple evolution modes such as edge-like spread and enclave-like expansion during the simulated evolution process) to obtain a historical spatial evolution advantage evaluation model (i.e., a state transition probability model in the cellular automaton model) and identify and mark historical spatial development nodes (spatial points with enclave-like expansion).

[0053] Step 3: If Figure 2 As shown in FIG, the historical space development nodes are evaluated using the historical space evolution advantage evaluation model described in step 2 and the distance between nodes (the distance calculation method can adopt an appropriate distance calculation method according to the actual situation). The minimum spanning tree (MST) algorithm is used to generate a historical space directed structure based on the node evaluation.

[0054] Optionally, the process of step 2 is:

[0055] Step 1: Analyze the multi-time section satellite images of the historical section contraction period and reconstruct the spatial evolution process data of the section contraction period.

[0056] Step 2: Use the spatial evolution process data of the land parcel shrinkage period described in Step 1 to train a multi-type land use spatiotemporal evolution cellular automaton model, analyze the planning disturbance factors during the landscape change stage, and obtain a historical spatial shrinkage probability evaluation model (i.e., the state transition probability model in the cellular automaton model). The probability transition model calculation formula is:

[0057] p i (s)=P(s i ,v i ;S neighbors (i),V neighbors (i))

[0058] Where s represents all possible states of cell i, s i Indicates the current state of the cell, v i Indicates the current characteristics of the cell; S neighbors (i), and V neighbors (i) represents the state and feature vector of all the current neighbors of the cell. The probability model can be learned through machine learning algorithms, such as GMM, ANN, etc.

[0059] Furthermore, step 3 is to use the historical space contraction probability evaluation model described in step 2 to evaluate the compatibility of the current urban open space with historical attributes. The process of step 3 is:

[0060] Step 1: Based on Space Syntax, the configuration parameters of the open space in the historical area are analyzed. The standardized angle integration and standardized angle selectivity are selected to evaluate the open space nodes and lines, which are used as the evaluation values ​​of the current spatial utilization and activation conditions.

[0061] Step 2: Use multi-source data (spatial data cloud sharing platform data, drone-captured spatial population distribution images at multiple time points) to measure the spatiotemporal patterns of daily travel and activities of real residents in the study area. Use kernel density analysis to form a travel hotspot layout, which serves as the evaluation value of actual spatial utilization demand.

[0062] Step 3: Use the space utilization activation condition advantage evaluation value described in step 1 and the space actual utilization demand evaluation value described in step 2, perform weighted superposition, and obtain the comprehensive utilization potential evaluation of the open space.

[0063] Furthermore, the process of step 4 is:

[0064] Step 1: Based on the historical spatial evolution advantage evaluation values ​​of each node during the period of complete historical site morphology obtained in Step 1, for currently extinct spatial nodes, those with values ​​above a set threshold are considered for regeneration, forming a "set of usable historical nodes." Based on the open space comprehensive utilization potential evaluation values ​​obtained in Step 3, the current urban spatial nodes are evaluated. Functional nodes with potential values ​​above the set threshold are considered for integration into the set of historical site nodes, defining this as the "set of usable current nodes." The "set of usable historical nodes" is superimposed on the "set of usable current nodes" to obtain the set of historical site nodes.

[0065] Step 2: Weighted superposition of the historical space evolution advantage evaluation value obtained in step 1, the compatibility strength of the open space with historical attributes obtained in step 2, and the comprehensive utilization potential evaluation value of the open space obtained in step 3, and comprehensively assign a value to the medium space between nodes as the connection weight.

[0066] Step 3: Based on the directed structure of the historical space obtained in step 1, use the A* heuristic search algorithm to generate a historical section structure based on nodes and authorized connections.

[0067] This paper takes fragmented historical urban areas as research objects, simulates and explores the underlying principles of the dynamic pattern evolution process, and explores methods for reconstructing the spatial structure of historical areas based on the historical evolution mechanism and the current urban living space structure. The main effects of this invention are as follows:

[0068] ① The present invention comprehensively constructs a knowledge system based on structural protection and development, establishes an ideological method for structural reconstruction of fragmented urban historical sites under the control of multi-dimensional principles, and promotes the deepening innovation of protective urban design theory.

[0069] ② This invention explores the means of realizing modeling, intelligence, and spatial visualization, so that the principles of time and space can directly act on spatial morphological reasoning, providing a methodological basis with practical value for urban space design in fragmented historical areas of the city.

[0070] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0071] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. A method for generating spatial structures of historical sites that coordinates historical mechanisms with current urban functions, characterized by: include: Based on multi-evolutionary modal cellular automata, we explore the evolutionary mechanism of the historical location pattern, obtain the evaluation of the historical space evolution advantage, and deduce the directed structure of the historical space based on graph algorithms; Based on the spatiotemporal evolution cellular automaton model of multi-type land use, the shrinkage evolution mechanism of historical sites and the compatibility strength evaluation of historical attributes of open spaces are explored; Obtaining public utilization potential evaluation of urban open space based on spatial configuration theory and multi-source space utilization data; Utilizing the directed structure of historical space, the historical space evolution advantage evaluation, the historical attribute compatibility strength evaluation, and the public utilization potential evaluation, a fragmented urban historical site spatial structure is generated based on a weighted graph heuristic search algorithm as the basic structure for site protection and revitalization development; Based on spatial configuration theory and multi-source space utilization data, the public utilization potential evaluation of urban open space is obtained, including: Based on space syntax, the configuration parameters of the open space in the historical area were analyzed, and the standardized angle integration and standardized angle selectivity were selected to evaluate the open space nodes and lines as the evaluation values ​​of the advantages of space utilization and activation conditions. Multi-source data is used to measure the temporal and spatial patterns of daily travel and activities of real residents in the study area, and the travel hotspot layout is formed through kernel density analysis as the evaluation value of the actual space utilization demand; The evaluation value of the space utilization activation condition advantage and the evaluation value of the space actual utilization demand are weighted and superimposed to obtain the public utilization potential evaluation of the urban open space; Utilizing the directed structure of historical space, the historical space evolution advantage evaluation, the historical attribute compatibility strength evaluation, and the public utilization potential evaluation, a fragmented urban historical site spatial structure is generated based on a weighted graph heuristic search algorithm as the basic structure for site protection and revitalization development, including: Based on the historical spatial evolution advantage evaluation value of each node during the period of complete historical site morphology, for the currently disappeared spatial nodes, those with a value higher than the set threshold are regenerated and superimposed with the remaining historical nodes to form a set of usable historical nodes; Based on the obtained public utilization potential evaluation of urban open space, the current urban spatial nodes are evaluated, and the functional nodes with potential values ​​higher than the set threshold are incorporated into the decision-making of the historical section node set, which is defined as the usable current node set. The usable historical node set is then superimposed on the usable current node set to obtain the historical section node set. The weighted superposition of the historical spatial evolution advantage evaluation value of urban open space, the value of the historical attribute compatibility strength evaluation value, and the value of the public utilization potential evaluation value is used to comprehensively assign a value to the medium space between nodes as the connection weight; According to the directed structure of the historical space, the A* heuristic search algorithm is used to generate a historical section structure based on nodes and authorized connections.

2. The method for generating the spatial structure of historical sites by coordinating historical mechanisms with current urban functions according to claim 1, characterized in that: Based on multi-evolutionary modal cellular automata, we explore the evolutionary mechanism of the historical location pattern, obtain the historical spatial evolution advantage evaluation, and deduce the directed structure of the historical space based on graph algorithms, including: Based on the historical satellite image data, historical maps, early military surveying and mapping, local chronicles and landform records of the research area, data correction and deviation correction were carried out, and the spatial evolution process data of the area during its formation period was reconstructed using the time section method; Using the spatial evolution process data of the site generation period to train a multi-evolutionary modal cellular automaton, a historical spatial evolution advantage evaluation model is obtained, and historical spatial development nodes are identified and marked; The historical space development nodes are evaluated by using the historical space evolution advantage evaluation model and the distance between nodes, and the minimum weight spanning tree algorithm is used to generate the historical space directed structure based on the node evaluation.

3. The method for generating the spatial structure of historical sites by coordinating historical mechanisms with current urban functions according to claim 1, characterized in that: Based on the spatiotemporal evolution cellular automaton model of multi-type land use, the shrinkage evolution mechanism of historical sites and the compatibility strength evaluation of historical attributes of open spaces are explored, including: Analyze multi-time section satellite images of historical site contraction periods and reconstruct data on the spatial evolution of site contraction periods; Using the spatial evolution process data of the site during its contraction period, a cellular automaton model of spatiotemporal evolution of multi-type land use is trained to analyze the planning disturbance factors during the landscape change stage and obtain a historical spatial contraction probability evaluation model; The historical space contraction probability evaluation model is used to evaluate the compatibility strength of the current urban open space with the historical attributes, so as to obtain the historical attribute compatibility strength evaluation.

4. The method for generating the spatial structure of historical sites by coordinating historical mechanisms with current urban functions according to claim 3, characterized in that: The historical space contraction probability evaluation model The calculation formula is: ;in, All possible states, Represents the current state of the cell, Represents the current characteristics of the cell; 。

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