City update action visual evaluation method and system

Abstract

The invention discloses a city update action visual evaluation method and system, and relates to the technical field of city management, and the method comprises the steps: connecting a city management system, obtaining city monitoring data, constructing a city distribution diagram, including a three-dimensional distribution diagram and a space group composition, determining the evaluation demand of city update planning, carrying out the hierarchical analysis, and determining a demand hierarchical system. The city evaluation module is supervised and trained; monitoring data of a first city updating stage are obtained and transmitted to the city evaluation module, the city distribution diagram is updated and evaluated, and an evaluation result is determined. The method and the device are used for solving the problems that in the prior art, the comprehensiveness and the dynamic adaptability of city updating evaluation aspects are insufficient; and the evaluation accuracy of the city updating action is limited. Urban updating evaluation is carried out by combining the three-dimensional distribution map and the demand hierarchy system, so that the comprehensiveness and dynamic adaptability of evaluation are improved, and a scientific, dynamic and comprehensive evaluation tool is provided for urban updating.

Description

Technical Field

[0001] The present invention relates to the technical field of urban management, and in particular to a method and system for visualizing and evaluating urban renewal actions. Background Art

[0002] With the acceleration of urbanization, urban renewal has become an important means to enhance urban functions and optimize spatial structure. Traditional urban renewal assessment methods are mostly based on single-dimensional data analysis, which is difficult to fully reflect complex spatial changes and social needs. In addition, existing technologies generally lack effective integration methods when processing multi-dimensional urban data, resulting in one-sided assessment results and difficulty in guiding actual actions. For example, assessment methods based on two-dimensional plane data often ignore the profound impact of the three-dimensional structure of the city on traffic flow, population distribution, etc.; while analysis based on simple social indicators fails to fully consider the multi-level needs of residents such as physiology, safety and social psychology.

[0003] To address this issue, existing technologies urgently need a more comprehensive and dynamically adaptable urban renewal assessment method that can not only effectively integrate urban spatial distribution data, but also incorporate a people-oriented needs hierarchy theory, so as to achieve accurate monitoring and evaluation of the urban renewal stage.

[0004] In summary, existing technologies lack comprehensiveness and dynamic adaptability in urban renewal assessment, resulting in limited accuracy in the assessment of urban renewal actions. Summary of the invention

[0005] The present application provides a method and system for visual evaluation of urban renewal actions, which are used to solve the technical problems in the prior art of lacking comprehensiveness and dynamic adaptability in urban renewal evaluation, resulting in limited accuracy in the evaluation of urban renewal actions.

[0006] In view of the above problems, the present application provides a method and system for visual evaluation of urban renewal actions.

[0007] In a first aspect, the present application provides a method for visual evaluation of urban renewal actions, the method comprising: connecting to an urban management system, acquiring urban monitoring data and constructing an urban distribution map, wherein the urban distribution map includes a three-dimensional distribution map and a spatial composition map, and the spatial composition map represents the logical relationship between urban spatial elements; determining the evaluation needs of the urban renewal plan, performing a hierarchical analysis to determine a demand hierarchy system, wherein the system is constructed based on physiological needs, safety needs, social needs, respect needs, and self-actualization needs; supervising the training of an urban evaluation module based on the urban distribution map and the demand hierarchy system; acquiring monitoring data of the first urban renewal stage, transmitting the data to the urban evaluation module, updating and evaluating the urban distribution map, and determining an evaluation result, wherein the evaluation result is determined by fitting a first evaluation result based on the three-dimensional distribution map and a second evaluation result based on the spatial composition map, and the first urban renewal stage is any stage of the urban renewal plan.

[0008] In a second aspect, the present application provides a visual evaluation system for urban renewal actions, the system comprising: a construction unit, the construction unit being used to connect to an urban management system, obtain urban monitoring data and construct an urban distribution map, wherein the urban distribution map comprises a three-dimensional distribution map and a spatial composition map, and the spatial composition map represents the logical relationship between urban spatial elements; a demand analysis unit, the demand analysis unit being used to determine the evaluation needs of an urban renewal plan, and to perform a hierarchical analysis to determine a demand hierarchy system, wherein the system is constructed based on physiological needs, safety needs, social needs, respect needs and self-actualization needs; a supervised training unit, the supervised training unit being used to supervise the training of an urban evaluation module based on the urban distribution map and the demand hierarchy system; an evaluation unit, the evaluation unit being used to obtain monitoring data of a first urban renewal stage, transmit the data to the urban evaluation module, update and evaluate the urban distribution map, and determine an evaluation result, wherein the evaluation result is determined by fitting a first evaluation result based on a three-dimensional distribution map and a second evaluation result based on the spatial composition map, and the first urban renewal stage is any stage of the urban renewal plan.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages: The embodiment of the present application provides a method for visual evaluation of urban renewal actions, which connects to the urban management system, obtains urban monitoring data and constructs an urban distribution map, wherein the urban distribution map includes a three-dimensional distribution map and a spatial composition map, and the spatial composition map represents the logical relationship between urban spatial elements; determines the evaluation requirements of the urban renewal plan, performs hierarchical analysis to determine the demand hierarchy system, and constructs it based on physiological needs-safety needs-social needs-respect needs-self-realization needs; supervises and trains the urban evaluation module based on the urban distribution map and the demand hierarchy system; obtains the monitoring data of the first urban renewal stage, transmits it to the urban evaluation module, updates and evaluates the urban distribution map, and determines the evaluation result, which is determined by fitting the first evaluation result based on the three-dimensional distribution map and the second evaluation result based on the spatial composition map, and the first urban renewal stage is any stage of the urban renewal plan. It is used to solve the technical problem that the comprehensiveness and dynamic adaptability of urban renewal evaluation in the prior art are insufficient, resulting in limited evaluation accuracy of urban renewal actions. By combining the three-dimensional distribution map with the demand hierarchy system to conduct urban renewal evaluation, the comprehensiveness and dynamic adaptability of the evaluation can be improved, and a scientific, dynamic and comprehensive evaluation tool can be provided for urban renewal. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flow chart of a visual assessment method for urban renewal actions is provided for this application; Figure 2 A schematic diagram of the process of obtaining evaluation results in a visual evaluation method for urban renewal actions is provided for this application; Figure 3 A schematic diagram of the structure of a visual evaluation system for urban renewal actions is provided for this application.

[0011] Explanation of the accompanying drawings: construction unit 11, demand analysis unit 12, supervised training unit 13, evaluation unit 14. DETAILED DESCRIPTION

[0012] The present application provides a method and system for visual evaluation of urban renewal actions, connects to the urban management system, obtains urban monitoring data and constructs an urban distribution map, including a three-dimensional distribution map and a spatial composition map, determines the evaluation needs of the urban renewal plan, conducts hierarchical analysis to determine the demand hierarchy system, and supervises the training of the urban evaluation module; obtains the monitoring data of the first urban renewal stage, transmits it to the urban evaluation module, updates and evaluates the urban distribution map, and determines the evaluation results, so as to solve the technical problem that the existing technology lacks comprehensiveness and dynamic adaptability in urban renewal evaluation, resulting in limited evaluation accuracy of urban renewal actions.

[0013] Embodiment 1: Figure 1As shown, the present application provides a method for visual evaluation of urban renewal actions, the method comprising: S1: Connecting to the city management system, acquiring city monitoring data and constructing a city distribution map, wherein the city distribution map includes a three-dimensional distribution map and a space composition map, and the space composition map represents the logical relationship between urban space elements.

[0014] Specifically, firstly, by connecting to the city management system, the acquisition of various monitoring data of the city is realized. The city management system can be a comprehensive management platform including information in multiple fields such as transportation, environment, and construction. The sources of its monitoring data include but are not limited to real-time sensors, remote sensing images, satellite positioning data, and historical statistical data. The monitoring data obtained through system connection covers key dimensions such as urban geographic information, building distribution, transportation network structure, and thermal distribution of residents' activities, providing comprehensive data support for the construction of urban distribution maps.

[0015] Based on the above monitoring data, a city distribution map is constructed. The city distribution map includes a three-dimensional distribution map and a spatial composition map, wherein the three-dimensional distribution map is the result of visual modeling of the urban geographic space in the form of three-dimensional coordinates, which can reflect the height of buildings, terrain undulations and spatial density distribution. For example, the three-dimensional distribution map can generate a stereoscopic view of the city through building height data, thereby clearly showing the spatial distribution differences between high-density urban areas and low-density suburbs.

[0016] At the same time, a spatial composition diagram is constructed. The spatial composition diagram is an abstract relationship map used to characterize the logical relationship between urban space elements, including the connection relationship between traffic nodes and road networks, the adjacency relationship between functional blocks, and the organizational form of building groups. For example, the spatial composition diagram can construct a logical hierarchical diagram of major traffic arteries and secondary roads through traffic flow data, thereby revealing the internal spatial mobility and functional collaboration relationship of the city.

[0017] In summary, by acquiring urban monitoring data, constructing three-dimensional distribution maps and spatial composition maps, the construction of the urban distribution map is completed, providing a complete, dynamic and multi-dimensional spatial information foundation for subsequent urban renewal evaluation.

[0018] S2: Determine the evaluation needs of the urban renewal plan and conduct a hierarchical analysis to determine the demand hierarchy system, which is built based on physiological needs-safety needs-social needs-respect needs-self-actualization needs.

[0019] In the embodiments of this application, the assessment needs are proposed based on the actual implementation background of the urban renewal plan, including but not limited to infrastructure optimization, improvement of residents' quality of life, reasonable allocation of spatial resources, etc. Through a systematic analysis of the current situation of the city, the current problems that need to be solved are identified, such as the improvement of the living environment in the renovation of old communities, the upgrading of urban public safety facilities, etc., so as to accurately determine the scope and focus of the assessment needs.

[0020] On the basis of clarifying the assessment needs, a hierarchical analysis method is used to classify the needs in layers and construct a demand hierarchy system. In the embodiment of the present application, the hierarchical analysis is a classification method based on the theory of human needs, which can decompose and organize complex needs according to logical relationships to improve the systematicness and pertinence of the assessment. Specifically, the demand hierarchy system is constructed based on physiological needs, safety needs, social needs, respect needs, and self-actualization needs.

[0021] Among them, physiological needs refer to the needs that meet the basic living conditions of residents, such as water supply, electricity supply, and improvement of living conditions. These needs are often the primary goals of urban renewal; safety needs involve the protection of residents' lives and property, such as improving fire-fighting facilities, building shelters, and strengthening public security management; social needs refer to promoting interaction and communication among residents, such as enhancing social connections by building public activity spaces and optimizing the layout of community service centers; respect needs involve the status and identity of residents in society, such as enhancing the social value of urban renewal areas and the pride of residents through historical and cultural protection and functional area upgrades; self-actualization needs represent residents' requirements for personality development and spiritual pursuits, such as meeting residents' long-term development needs by building educational facilities and providing diversified cultural activity venues.

[0022] Through the above steps, a complete demand system with levels from physiological needs to self-actualization needs was constructed, providing a logically clear and comprehensive demand benchmark framework for subsequent urban renewal evaluations, which helps to accurately capture the core needs of different stages and regions in the urban renewal process.

[0023] S3: Based on the city distribution map and the demand hierarchy system, supervise the training of the city assessment module.

[0024] Specifically, the city distribution map includes a three-dimensional distribution map and a spatial composition map, which respectively reflect the spatial layout of the city and the logical relationship between elements, providing an intuitive and fine-grained spatial information basis for the training of the evaluation module; the demand hierarchy system is based on the levels of physiological needs to self-realization needs, covering the comprehensive demand structure of residents from basic survival to spiritual pursuits, providing a scientific theoretical basis for the goal setting of the evaluation module.

[0025] During the supervised training process, by constructing evaluation units, targeted feature extraction and evaluation model optimization are performed on the input data. Specifically, based on the three-dimensional distribution map, the first evaluation unit is constructed to capture the distribution characteristics and dynamic changes of the urban physical space; for example, by analyzing the height and density of buildings, the progress of urban renewal actions can be followed up, and high-risk areas or functional overload areas can be intuitively identified. Based on the spatial composition map and the demand hierarchy system, the second evaluation unit is constructed to characterize the correlation between urban space elements and their matching degree with residents' needs, for example, to evaluate the support of the transportation network for residents' physiological and social needs.

[0026] The first evaluation unit and the second evaluation unit are trained in parallel to form a synergistic effect. During the supervised training process, the model is calibrated using a labeled data set, which includes actual monitoring data and historical evaluation results. Through iterative optimization of supervised learning, the model parameters are dynamically adjusted so that the evaluation module can accurately identify key issues and potential risks in the urban renewal process. Exemplarily, by analyzing urban renewal cases in the training data, the evaluation module's perception of changes in residential density in the renovation of old urban areas is optimized.

[0027] Ultimately, the urban assessment module through supervised training can achieve in-depth analysis and efficient evaluation of input data, accurately generate assessment results for the urban renewal stage, and provide a reliable basis for subsequent decision-making and action guidance.

[0028] Furthermore, the supervised training city assessment module, step S3 of this application includes: Based on the three-dimensional distribution map and the demand hierarchy system, a first evaluation unit is constructed; based on the spatial composition map and the demand hierarchy system, a second evaluation unit is constructed; and the first evaluation unit and the second evaluation unit are trained in parallel through data-driven training to construct the city evaluation module.

[0029] In an embodiment of the present application, firstly, a first evaluation unit is constructed based on the three-dimensional distribution map and the demand hierarchy system. The three-dimensional distribution map takes the three-dimensional coordinate data of the urban space as the core, and comprehensively reflects the distribution characteristics of the urban physical space, including information such as building height, density distribution, and terrain undulation. The first evaluation unit extracts the changing laws of the physical space characteristics in the process of urban renewal by parsing the three-dimensional distribution map, such as evaluating the spatial carrying capacity of high-density areas and the rationality of the spatial distribution of buildings of different heights. In order to improve the evaluation accuracy, the first evaluation unit further introduces a multi-scale analysis method, and establishes models for high-density urban areas and low-density suburbs respectively in combination with regional division, so as to more accurately capture various spatial distribution characteristics.

[0030] Subsequently, the second evaluation unit is constructed based on the spatial composition diagram and the demand hierarchy system. The spatial composition diagram is a logical map that describes the relationship between urban space elements (such as roads, buildings, and functional blocks), such as the connectivity of traffic nodes, the adjacency between commercial areas and residential areas, etc.; the demand hierarchy system represents the needs of residents at different levels. The second evaluation unit extracts the characteristics of spatial logical relationships and the degree of matching between needs by analyzing the spatial composition diagram and the demand hierarchy system. For example, by analyzing the distribution of traffic networks and residential areas, the support of traffic convenience for residents' physiological needs is evaluated; by analyzing the layout of public activity spaces, the degree to which they meet residents' social needs is evaluated.

[0031] After the above two evaluation units are constructed, they are trained data-driven in parallel. Specifically, the parameters and structure of the evaluation model are continuously optimized by using historical monitoring data, annotated evaluation results, and dynamically updated real-time data, and the training is supervised until convergence, that is, the output accuracy meets the evaluation requirements. The first evaluation unit and the second evaluation unit are trained in parallel, that is, the input data of the three-dimensional distribution map and the spatial composition map are processed simultaneously, and the synergy of the model is improved by sharing some feature extraction results. For example, the high-density urban area features generated by the first evaluation unit are used to provide the initial conditions for spatial correlation analysis for the second evaluation unit, thereby improving the overall evaluation efficiency and accuracy.

[0032] Finally, a complete urban assessment module was constructed through parallel training. The module can comprehensively evaluate key indicators in the urban renewal stage by combining three-dimensional physical features and spatial logical relationships, providing a scientific basis for optimizing planning, design and implementation.

[0033] S4: Acquire monitoring data of the first urban renewal stage, transmit it to the urban assessment module, update and assess the urban distribution map, and determine an assessment result, wherein the assessment result is determined by fitting a first assessment result based on a three-dimensional distribution map and a second assessment result based on the spatial composition map, and the first urban renewal stage is any stage of the urban renewal plan.

[0034] Specifically, the urban renewal plan is divided into multiple stages, and the renewal actions are tracked and evaluated stage by stage, so as to timely monitor and correct deviations. The first urban renewal stage is any stage in the urban renewal plan, that is, each stage is evaluated and analyzed based on this method.

[0035] First, the monitoring data of the first urban renewal stage is obtained. The monitoring data can be obtained through various sensors, remote sensing equipment, monitoring platforms and other real-time collection equipment in the urban management system, covering multi-dimensional information such as the progress of building renovation, road construction, traffic flow, air quality, etc. These data can fully reflect the actual progress of the urban renewal stage and provide data support for subsequent evaluation and decision-making.

[0036] After acquiring the monitoring data, the next step is to transfer the data to the city assessment module. The city assessment module can receive and process the data in real time, and perform data preprocessing and feature extraction through built-in algorithms. For example, for traffic flow data, the module can perform time series analysis to evaluate the changing trend of traffic congestion problems; for building renovation data, the module can perform spatial density analysis to evaluate the renewal progress of different areas and their impact on the urban spatial layout.

[0037] Specifically, based on the received monitoring data, the city distribution map is updated. The city distribution map includes a three-dimensional distribution map and a spatial composition map, which respectively reflect the three-dimensional distribution of the city's physical space and the logical relationship between spatial elements. During the update process, the three-dimensional distribution map will be adjusted according to the latest building information, road construction and other dynamic data, and present the spatial changes in the urban renewal process in real time; while the spatial composition map will be updated according to the changes in the relationship between elements such as roads, buildings, and functional blocks, so as to reflect the optimization and adjustment of the transportation network or social functional areas.

[0038] On the basis of the updated urban distribution map, the comprehensive evaluation results of the urban renewal stage are finally obtained by fitting the first evaluation results based on the three-dimensional distribution map and the second evaluation results based on the spatial composition map. The first evaluation results come from the first evaluation unit, which evaluates the changes in physical space and the innovation of urban functions during the urban renewal process based on the updated three-dimensional distribution map; while the second evaluation results come from the second evaluation unit, which evaluates the improvement effect of spatial layout optimization on residents' quality of life and transportation during the urban renewal process by analyzing the logical relationship between the spatial elements in the spatial composition map. By fitting and integrating these two parts of the evaluation results, the dual effects of physical space transformation and spatial function optimization are comprehensively considered to obtain the final evaluation results of the urban renewal stage.

[0039] It should be pointed out that the first urban renewal stage is not limited to a specific stage, but is applicable to any stage in the entire urban renewal plan. It can be updated and evaluated by obtaining real-time monitoring data, providing real-time feedback and scientific guidance for the entire urban renewal process.

[0040] Further, such as Figure 2As shown, the city distribution map is updated and evaluated, and the evaluation result is determined. Step S4 of this application includes: Acquire planning information of the first urban renewal stage, and determine an ideal indicator matrix in combination with the demand hierarchy system, wherein the ideal indicator matrix includes a first positive ideal matrix and a first negative ideal matrix based on the progress of urban renewal, and a second positive ideal matrix and a second negative ideal matrix based on spatial logical relationships; in combination with the ideal indicator matrix, evaluate the first urban renewal stage based on the urban evaluation module.

[0041] Specifically, after obtaining the planning information of the first urban renewal stage, the ideal indicator matrix is ​​determined in combination with the demand hierarchy system. The planning information includes but is not limited to the goals, specific implementation content, renewal progress, regional division, etc. of the urban renewal in this stage, reflecting the overall requirements and goals of the urban renewal in this stage. By analyzing these planning information, specific indicators related to the residents' demand hierarchy system can be identified, such as the progress of improving the living environment, the degree of improvement of transportation facilities, the coverage of public services, etc. These indicators constitute the core content of the ideal indicator matrix.

[0042] The ideal indicator matrix is ​​a multidimensional matrix, each dimension of which represents a specific evaluation field, covering two main dimensions: urban renewal progress and spatial logical relationship. Based on the indicators of urban renewal progress, the first positive ideal matrix and the first negative ideal matrix are constructed. The first positive ideal matrix contains the ideal state based on the planning goals in the urban renewal process, that is, the indicator value when the renewal progress reaches the optimal state; while the first negative ideal matrix represents the state indicators when the renewal progress stagnates or lags behind in the worst case. These two matrices together constitute the ideal range for evaluating progress. For example, in the field of building renovation, the first positive ideal matrix may indicate that all buildings have been renovated as planned, and the first negative ideal matrix may indicate that there are still a large number of buildings that have not been renovated, that is, the two critical standards of excellent and extremely poor.

[0043] At the same time, based on the indicators of spatial logical relationships, the second positive ideal matrix and the second negative ideal matrix are constructed. The second positive ideal matrix and the second negative ideal matrix represent the optimal and worst spatial logical configuration states in the process of urban spatial layout optimization. Specifically, the second positive ideal matrix reflects the ideal states such as optimal traffic mobility, optimal layout of public service facilities, and strongest connectivity of functional blocks; while the second negative ideal matrix reflects the worst states such as severe traffic congestion, unequal public services, and weak connections between functional blocks.

[0044] Further combined with the ideal indicator matrix, the first urban renewal stage is evaluated based on the urban evaluation module. The evaluation module calculates the deviation of the actual renewal progress and spatial layout by comparing the actual monitoring data with the positive and negative ideal matrices in the ideal indicator matrix, so as to quantitatively evaluate the urban renewal effect of this stage. By comparing the evaluation results obtained by the first evaluation unit (based on the three-dimensional distribution map) and the second evaluation unit (based on the spatial composition map), combined with the guidance of the ideal indicator matrix, it is possible to accurately judge whether the urban renewal has achieved the predetermined ideal goal, thereby providing a basis for subsequent decision-making.

[0045] This evaluation process can not only dynamically reflect the progress of urban renewal, but also provide targeted feedback to urban managers, help adjust and optimize subsequent urban renewal strategies, and ensure that various renewal tasks are smoothly implemented in accordance with planning objectives.

[0046] Furthermore, the first urban renewal stage is evaluated, and step S4 of this application includes: Acquire monitoring data of the first urban renewal stage; based on the monitoring data, update the three-dimensional distribution map, perform downsampling evaluation based on the first evaluation unit and proofread based on the first ideal indicator matrix, and determine a first evaluation result; based on the monitoring data, update the spatial composition map, perform evaluation based on the second evaluation unit and proofread based on the second ideal indicator matrix, and determine a second evaluation result; The first evaluation result and the second evaluation result are integrated to determine the evaluation result of the first urban renewal stage.

[0047] In the embodiment of the present application, the three-dimensional distribution map is first updated based on the monitoring data of the first urban renewal stage. The monitoring data includes real-time information on various progress in the urban renewal process, such as the progress of building renovation, the completion of infrastructure construction, etc. Based on these data, the spatial distribution characteristics reflected in the three-dimensional distribution map will be dynamically adjusted, and the updated image can accurately reflect the latest progress of the urban renewal stage. For example, the update information of the building can be updated to the new building height, the spatial distribution after the structural adjustment, etc., so that the three-dimensional distribution map is more in line with the actual situation.

[0048] Next, based on the updated three-dimensional distribution map, the first evaluation unit starts to perform downsampling evaluation. Preferably, the downsampling range in the three-dimensional distribution map is determined based on the planning information of the first urban renewal stage. The so-called downsampling evaluation refers to appropriately simplifying the original high-precision data to reduce the computational complexity and make the evaluation process more efficient by reducing the resolution. In this process, the first evaluation unit uses the downsampled data to perform spatial evaluation, calculates the gap between the urban renewal progress and the planning goals, and calibrates it according to the first ideal indicator matrix. The first ideal indicator matrix represents the ideal spatial distribution state during the update process, calculates the update effect of the current stage and outputs it as the first evaluation result, which reflects the effect and progress of the three-dimensional space update.

[0049] Similarly, based on the monitoring data of the first urban renewal phase, the spatial composition map is updated. The spatial composition map mainly describes the logical relationship and interaction between various spatial elements of the city (such as buildings, roads, green spaces, etc.). By combining monitoring data such as traffic flow, regional functional layout and other information, the updated spatial composition map will reflect the latest connections and relationships between various spatial elements in the urban renewal process.

[0050] Based on the updated spatial composition diagram, the second evaluation unit evaluates the urban spatial layout. According to the spatial logical relationship, the second evaluation unit analyzes the functional connection between the spatial elements, the degree of spatial optimization and other indicators, and verifies them in combination with the second ideal indicator matrix. The second ideal indicator matrix also represents the ideal state in the process of spatial logic optimization, such as the optimal transportation network, the most reasonable distribution of functional areas, etc. By comparing the actual data with the ideal state, the second evaluation result is output, which reflects the effect and potential of spatial layout optimization.

[0051] Finally, by integrating the first and second evaluation results, the comprehensive evaluation results of the first urban renewal stage are obtained. The first evaluation results mainly focus on the renewal progress of the physical space, while the second evaluation results focus on the optimization of the spatial layout, which can fully reflect the comprehensive effect of urban renewal and ensure that the comprehensive evaluation results of the two dimensions of physical space and spatial layout can fully reflect the actual effect of urban renewal.

[0052] Ultimately, the evaluation results of the first urban renewal stage provide decision makers with a clear evaluation of the effectiveness of the urban renewal stage, which serves as a basis for subsequent adjustments and optimizations.

[0053] Further, based on the evaluation performed by the second evaluation unit and the verification based on the second ideal indicator matrix, a second evaluation result is determined, and step S4 of the present application includes: The ideal indicator matrix is ​​traversed, and the indicator is normalized and normalized to determine the positive indicator matrix, wherein the conversion into extremely large indicators is the positive processing method; based on the updated spatial composition diagram, combined with the positive indicator matrix, the stage indicator matrix is ​​evaluated and determined; for the stage indicator matrix, the second positive ideal matrix and the second negative ideal matrix are combined to calculate and obtain the second evaluation result.

[0054] Specifically, the ideal indicator matrix contains multiple evaluation dimensions, such as urban renewal progress, spatial layout optimization, etc., and each dimension corresponds to a certain quantitative indicator. Due to the different indicator types and dimensions of different dimensions and indicators, positive normalization is required to ensure that each indicator is compared under the same standard.

[0055] Among them, the forward normalization processing is to adjust all indicator values ​​to extremely large indicators and adjust them to the same dimensional range (such as [0, 1]). Among them, the indicators may include extremely large indicators, extremely small indicators, interval indicators, etc., that is, the larger the better, the smaller the better, or interval measurement indicators, etc., which are difficult to conduct unified evaluation and analysis. Convert all indicators to extremely large indicators. For example, for extremely small indicators, the inverse method can be used for conversion. After the forward processing, the indicators are normalized, that is, adjusted to the same dimensional range, and the forward indicator matrix is ​​determined by conversion.

[0056] Next, based on the updated spatial composition diagram, the stage indicator matrix is ​​evaluated and determined with the forward indicator matrix as the benchmark. The spatial composition diagram reflects the logical relationship between urban space elements, such as the connection and optimization between roads, buildings, and functional blocks. By updating and analyzing the spatial composition diagram, various evaluation indicators related to the spatial layout can be obtained. At the same time, it can ensure that indicators of different spatial logics can be compared under the same standard. For example, for the two indicators of traffic flow and building density, they can be converted into relative importance through normalization to ensure fair measurement in comprehensive evaluation.

[0057] Furthermore, for the stage indicator matrix, the second positive ideal matrix and the second negative ideal matrix are combined to calculate and obtain the second evaluation result. The second positive ideal matrix and the second negative ideal matrix represent the ideal and worst states in the spatial logic optimization process, corresponding to the best and worst spatial layout configurations, respectively. This is used to measure the effect of urban renewal. For example, the ideal state of traffic flow may be the optimal flow state without congestion, while the negative ideal state may be the worst case of complete congestion. By calculating the distance between the stage indicator matrix and the positive and negative ideal matrices, the second evaluation result can be determined, providing a comprehensive evaluation of the spatial layout optimization in the urban renewal process, helping decision makers understand the effect of spatial transformation in the current stage, and providing a basis for subsequent adjustments to urban renewal strategies.

[0058] Further, the second evaluation result is calculated and obtained, and step S4 of the present application includes: Get the first distance formula: ; Get the second distance formula: ; Get the comprehensive evaluation formula: ;in, Refers to the distance from the stage indicator matrix to the positive ideal matrix, i represents the i-th indicator, m is the total number of indicators, is the weight value of the ith indicator, is the i-th positive ideal index, is the index of stage i; Refers to the distance from the stage indicator matrix to the negative ideal matrix, is the i-th negative ideal index; F is the comprehensive evaluation coefficient.

[0059] In this embodiment, the key formula in the evaluation process involves the distance calculation between the stage indicator matrix and the ideal matrix, and the comprehensive evaluation results are obtained through these calculations. First, the stage indicator matrix is ​​defined as the actual measurement result matrix of the urban renewal stage. By calculating the distance between the stage indicator matrix and the ideal matrix, the gap between the actual stage and the ideal target can be evaluated.

[0060] Get the first distance formula: , that is, by calculating the distance from the stage indicator matrix to the positive ideal matrix, where Refers to the distance from the stage indicator matrix to the positive ideal matrix, i represents the i-th indicator, m is the total number of indicators, is the weight value of the ith indicator, is the i-th positive ideal index, is the index of the i-th stage. The positive ideal matrix represents the best value of each index under ideal conditions, usually the maximum possible value of all indicators. The first distance measures the difference between the actual value and the ideal value of each indicator in this stage.

[0061] Get the second distance formula , that is, by calculating the distance from the stage indicator matrix to the negative ideal matrix, where, Refers to the distance from the stage indicator matrix to the negative ideal matrix, is the i-th negative ideal index. The negative ideal matrix represents the worst value of each index, that is, the minimum possible value or the maximum negative impact value of each index. The second distance measures the gap between the actual value of each index and the worst value.

[0062] Further, combined with the comprehensive evaluation formula: , calculate the comprehensive evaluation coefficient based on the first distance and the second distance, which represents the evaluation result of the overall urban renewal stage, and can effectively measure the difference between the effect and the goal of the urban renewal stage. The larger the comprehensive evaluation coefficient, the closer it is to the ideal goal, which helps to evaluate whether the predetermined renewal effect has been achieved, thereby providing decision-making support for subsequent urban renewal actions.

[0063] Furthermore, after the evaluation results are determined, the application steps also include: Identify the evaluation results and generate urban renewal feedback instructions, wherein feedback judgment is made based on the ideal tolerance of the urban renewal stage; make feedback decisions on urban renewal actions based on the first distance array and the second distance array, and determine the feedback guidance strategy for the first urban renewal stage, wherein the first distance array is a distance distribution based on a positive ideal matrix and the second distance array is a distance distribution based on a negative ideal matrix; and conduct feedback guidance management of urban renewal actions based on the feedback guidance strategy.

[0064] In this embodiment, the difference between the urban renewal stage and the ideal target is determined by identifying the evaluation results. If the evaluation results show that the actual effect of a certain stage does not reach the ideal target, an urban renewal feedback instruction is generated to ensure that the urban renewal plan can be further adjusted and optimized according to the predetermined target.

[0065] The ideal tolerance refers to the acceptable range of differences between the ideal matrix and the actual stage in the evaluation. The larger the ideal tolerance, the greater the difference that can be tolerated; the smaller the ideal tolerance, the smaller the gap between the requirement and the ideal target must be tolerable. At this time, the feedback judgment determines whether further actions or optimization measures are needed based on the setting of the ideal tolerance.

[0066] The first distance matrix is ​​based on the distance distribution of the positive ideal matrix, that is, the distance between the indicator matrix and the positive ideal matrix at each stage. This matrix reflects the deviation between each indicator and the optimal ideal state during the actual update process. The second distance matrix is ​​based on the distance distribution of the negative ideal matrix, that is, the distance between the indicator matrix and the negative ideal matrix at each stage.

[0067] Further feedback guidance analysis is conducted for the first urban renewal stage. The feedback guidance strategy provides targeted suggestions for urban renewal actions at each stage based on the analysis results of the first distance array and the second distance array. Among them, the larger the ideal distance, the smaller the ideal tolerance, and the more adjustments are needed. Strategies may include, for example, supplementing certain infrastructure construction, strengthening environmental protection measures in specific areas, or optimizing transportation networks. At this time, the feedback guidance strategy will comprehensively consider all evaluation factors in order to take effective adjustment measures.

[0068] Based on the feedback guidance strategy, actual urban renewal actions are supervised and adjusted. According to the feedback guidance strategy determined previously, city managers gradually implement feedback instructions and monitor changes during implementation to ensure that the ultimate urban renewal goals can be successfully achieved. In actual actions, plans are adjusted and deviations are corrected, thereby promoting urban renewal in a direction that better meets the needs of residents and environmental development.

[0069] In summary, this embodiment comprehensively evaluates and manages urban renewal actions through a series of feedback and decision-making steps. Through precise evaluation results and feedback mechanisms, from identifying evaluation results, generating feedback instructions, to feedback decisions based on distance arrays, determining feedback guidance strategies, and finally feedback guidance management, it ensures that every link of urban renewal is executed within the ideal goal and acceptable tolerance range, thereby effectively promoting the smooth progress of urban renewal.

[0070] This application provides a visual evaluation method for urban renewal actions, which has the following technical effects: 1. By constructing urban distribution maps, including three-dimensional distribution maps and spatial composition maps, the latter is used to characterize the logical relationship between urban space elements. In addition, through hierarchical analysis, a demand hierarchy system is constructed based on physiological needs, safety needs, social needs, respect needs, and self-realization needs to evaluate the needs of urban renewal planning. It can fully and accurately understand and present the needs of urban space and its residents, ensure the comprehensiveness and accuracy of the evaluation, and provide strong data support for subsequent evaluation and decision-making.

[0071] 2. Based on the urban distribution map and the demand hierarchy system, supervise the training of the urban assessment module. By constructing the first assessment unit (based on the three-dimensional distribution map and the demand hierarchy system) and the second assessment unit (based on the spatial composition map and the demand hierarchy system), and training different assessment units in parallel, it is possible to conduct a comprehensive assessment of the urban renewal stage from different angles, thereby improving the accuracy and diversity of the assessment, and ensuring that the assessment results are more in line with actual needs and have strong guidance.

[0072] 3. The first distance formula is used to measure the distance between the stage indicator matrix and the positive ideal matrix, and the second distance formula is used to measure the distance between the stage indicator matrix and the negative ideal matrix, to calculate the gap between the stage indicator matrix and the ideal target. After combining the two, the comprehensive evaluation coefficient is calculated through the comprehensive evaluation formula, which can accurately evaluate whether the urban renewal meets the expected goals. The evaluation results can provide a clear view of the gap and provide a specific basis for subsequent adjustments and optimizations. In actual operation, this evaluation method can effectively guide the direction and decision-making of urban renewal at all stages.

[0073] In summary, through the combination of multi-dimensional urban distribution maps and demand hierarchy systems, a comprehensive and accurate urban renewal assessment can be achieved. Through supervised training of urban assessment modules and ideal matrix gap assessment, accurate assessment of each stage of urban renewal can be achieved, and feedback instructions and decisions can be generated based on these assessment results, and feedback guidance management can ensure that urban renewal can be continuously optimized in practice.

[0074] Embodiment 2: Based on the same inventive concept as the method for visualizing evaluation of urban renewal actions in the above embodiment, Figure 3 As shown, the present application provides a visual evaluation system for urban renewal actions, the system comprising: A construction unit 11, the construction unit 11 is used to connect to the city management system, obtain city monitoring data and construct a city distribution map, wherein the city distribution map includes a three-dimensional distribution map and a space composition map, and the space composition map represents the logical relationship between urban space elements; A demand analysis unit 12, the demand analysis unit 12 is used to determine the evaluation needs of the urban renewal plan, and to perform a hierarchical analysis to determine a demand hierarchy system, wherein physiological needs-safety needs-social needs-respect needs-self-actualization needs are used as the benchmarks; A supervised training unit 13, wherein the supervised training unit 13 is used to supervise and train a city assessment module based on the city distribution map and the demand hierarchy system; An evaluation unit 14 is used to obtain monitoring data of the first urban renewal stage, transmit the data to the urban evaluation module, update and evaluate the urban distribution map, and determine an evaluation result, wherein the evaluation result is determined by fitting a first evaluation result based on a three-dimensional distribution map and a second evaluation result based on the spatial composition map, and the first urban renewal stage is any stage of the urban renewal plan.

[0075] Among them, the supervised training unit 13 is also used to perform the following steps: construct a first evaluation unit based on the three-dimensional distribution map and the demand hierarchy system; construct a second evaluation unit based on the spatial composition map and the demand hierarchy system; perform data-driven training on the first evaluation unit and the second evaluation unit in parallel to construct the city evaluation module.

[0076] Among them, the evaluation unit 14 is also used to perform the following steps: obtain the planning information of the first urban renewal stage, and determine the ideal indicator matrix in combination with the demand hierarchy system, wherein the ideal indicator matrix includes a first positive ideal matrix and a first negative ideal matrix based on the progress of urban renewal, and a second positive ideal matrix and a second negative ideal matrix based on spatial logical relationships; in combination with the ideal indicator matrix, based on the urban evaluation module, evaluate the first urban renewal stage.

[0077] Among them, the evaluation unit 14 is also used to perform the following steps: obtain the monitoring data of the first urban renewal stage; based on the monitoring data, update the three-dimensional distribution map, perform downsampling evaluation based on the first evaluation unit and proofread based on the first ideal indicator matrix, and determine the first evaluation result; based on the monitoring data, update the spatial composition map, perform evaluation based on the second evaluation unit and proofread based on the second ideal indicator matrix, and determine the second evaluation result; integrate the first evaluation result and the second evaluation result to determine the evaluation result of the first urban renewal stage.

[0078] Among them, the evaluation unit 14 is also used to execute the following steps: traverse the ideal indicator matrix, perform indicator forward normalization processing, and determine the positive indicator matrix, wherein conversion into extremely large indicators is the positive processing method; based on the updated spatial composition diagram, combined with the positive indicator matrix, evaluate and determine the stage indicator matrix; for the stage indicator matrix, combine the second positive ideal matrix and the second negative ideal matrix to calculate and obtain the second evaluation result.

[0079] The evaluation unit 14 is further configured to perform the following steps: obtaining a first distance formula: ; Get the second distance formula: ; Get the comprehensive evaluation formula: ;in, Refers to the distance from the stage indicator matrix to the positive ideal matrix, i represents the i-th indicator, m is the total number of indicators, is the weight value of the ith indicator, is the i-th positive ideal index, is the index of stage i; Refers to the distance from the stage indicator matrix to the negative ideal matrix, is the i-th negative ideal index; F is the comprehensive evaluation coefficient.

[0080] The system is also used to perform the following steps: identifying the evaluation results and generating urban renewal feedback instructions, wherein feedback judgment is made based on the ideal tolerance of the urban renewal stage; based on the first distance array and the second distance array, feedback decisions are made on urban renewal actions, and a feedback guidance strategy for the first urban renewal stage is determined, wherein the first distance array is a distance distribution based on a positive ideal matrix and the second distance array is a distance distribution based on a negative ideal matrix; based on the feedback guidance strategy, feedback guidance management of urban renewal actions is performed.

[0081] Through the above-mentioned detailed description of a method for visual evaluation of urban renewal actions in this specification, those skilled in the art can clearly understand a method and system for visual evaluation of urban renewal actions in this embodiment. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0082] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A visual evaluation method for urban renewal actions, characterized in that: The method comprises: Connecting to the city management system, acquiring city monitoring data and constructing a city distribution map, wherein the city distribution map includes a three-dimensional distribution map and a spatial composition map, and the spatial composition map represents the logical relationship between urban space elements; Determine the assessment needs of the urban renewal plan and conduct a hierarchical analysis to determine the demand hierarchy system, which is built based on physiological needs-safety needs-social needs-respect needs-self-actualization needs; Based on the city distribution map and the demand hierarchy system, supervise the training of the city assessment module; Acquire monitoring data of the first urban renewal stage and transmit it to the urban assessment module, update and assess the urban distribution map, and determine an assessment result, wherein the assessment result is determined by fitting a first assessment result based on a three-dimensional distribution map and a second assessment result based on the spatial composition map, and the first urban renewal stage is any stage of the urban renewal plan.

2. The method according to claim 1, characterized in that The supervised training city assessment module includes: Based on the three-dimensional distribution map and the demand hierarchy system, construct a first evaluation unit; Based on the spatial composition diagram and the demand hierarchy system, construct a second evaluation unit; The first evaluation unit and the second evaluation unit are operated in parallel to perform data-driven training to construct the city evaluation module.

3. The method according to claim 2, characterized in that Update and evaluate the city distribution map and determine the evaluation results, including: Acquire planning information of the first urban renewal stage, and determine an ideal indicator matrix in combination with the demand hierarchy system, wherein the ideal indicator matrix includes a first positive ideal matrix and a first negative ideal matrix based on the urban renewal progress, and a second positive ideal matrix and a second negative ideal matrix based on spatial logical relationships; In combination with the ideal indicator matrix, based on the city evaluation module, the first urban renewal stage is evaluated.

4. The method according to claim 3, characterized in that An assessment of the first urban renewal phase will be conducted, including: Obtaining monitoring data for the first urban renewal phase; Based on the monitoring data, the three-dimensional distribution map is updated, and a downsampling evaluation is performed based on the first evaluation unit and a calibration is performed based on a first ideal indicator matrix to determine a first evaluation result; Based on the monitoring data, the spatial composition diagram is updated, and the second evaluation unit is used to perform evaluation and verification based on the second ideal indicator matrix to determine a second evaluation result; The first evaluation result and the second evaluation result are integrated to determine the evaluation result of the first urban renewal stage.

5. The method according to claim 4, characterized in that Determining a second evaluation result based on the evaluation performed by the second evaluation unit and the verification based on the second ideal indicator matrix includes: Traversing the ideal indicator matrix, performing indicator positive normalization processing, and determining a positive indicator matrix, wherein converting to an extremely large indicator is a positive processing method; Based on the updated spatial composition diagram and in combination with the positive indicator matrix, the stage indicator matrix is ​​evaluated and determined; The second evaluation result is calculated and obtained by combining the second positive ideal matrix and the second negative ideal matrix with respect to the stage indicator matrix.

6. The method according to claim 5, characterized in that Calculating and obtaining the second evaluation result includes: Get the first distance formula: ; Get the second distance formula: ; Get the comprehensive evaluation formula: ; in, Refers to the distance from the stage indicator matrix to the positive ideal matrix, i represents the i-th indicator, m is the total number of indicators, is the weight value of the ith indicator, is the i-th positive ideal index, is the index of stage i; Refers to the distance from the stage indicator matrix to the negative ideal matrix, is the i-th negative ideal index; F is the comprehensive evaluation coefficient.

7. The method according to claim 1, characterized in that After determining the assessment results, including: Identifying the evaluation results and generating urban renewal feedback instructions, wherein feedback determination is performed based on an ideal tolerance in the urban renewal stage; Based on the first distance array and the second distance array, feedback decisions are made on the urban renewal action to determine the feedback guidance strategy for the first urban renewal stage, wherein the first distance array is a distance distribution based on a positive ideal matrix, and the second distance array is a distance distribution based on a negative ideal matrix; Based on the feedback guidance strategy, feedback guidance management of urban renewal actions is carried out.

8. A visual evaluation system for urban renewal actions, characterized in that: The system is used to implement a visual evaluation method for urban renewal actions according to any one of claims 1 to 7, and the system comprises: A construction unit, the construction unit is used to connect to the city management system, obtain city monitoring data and construct a city distribution map, wherein the city distribution map includes a three-dimensional distribution map and a space composition map, and the space composition map represents the logical relationship between urban space elements; A demand analysis unit, which is used to determine the evaluation needs of the urban renewal plan and to perform a hierarchical analysis to determine a demand hierarchy system, wherein the system is constructed based on physiological needs, safety needs, social needs, respect needs, and self-actualization needs; A supervised training unit, the supervised training unit is used to supervise the training of a city assessment module based on the city distribution map and the demand hierarchy system; An evaluation unit, wherein the evaluation unit is used to obtain monitoring data of the first urban renewal stage, transmit the data to the urban evaluation module, update and evaluate the urban distribution map, and determine an evaluation result, wherein the evaluation result is determined by fitting a first evaluation result based on a three-dimensional distribution map and a second evaluation result based on the spatial composition map, and the first urban renewal stage is any stage of the urban renewal plan.

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