63 results about "City development" patented technology

Provided is a system for simulating urban spatial growth by coupling urban development with water resources environmental carrying capacity, including a dynamic evaluation module for a water resources carrying capacity configured to evaluate and predict a maximum scale of urban space, a identification module for a water ecological sensitive area configured to identify water ecological security patterns and determine spatial regions that need to be avoided during urban spatial growth, and a simulation module for urban land use change configured to predict urban spatial layout features under different water ecological sensitive area protection modes and urban spatial growth scales. The system, as a whole, can predict the trends in urban population, industry, and construction land changes by simulating coupling between water resources environmental carrying capacity as well as water ecological sensitive area protection characteristics and factors such as urban socio-economic development and urban land expansion.

The invention discloses a natural resource asset management and territorial space planning system fusion method, which comprises the steps of 1) constructing an urban development scale and space layout planning constraint library based on law and policy documents; 2) based on the urban development scale and spatial layout planning constraint library and the natural resource and spatial layout information stored by the cloud platform, the client generates urban development scale and spatial layout schemes of one or more regions, and transmits the urban development scale and spatial layout schemes to the cloud platform; 3) the cloud platform evaluates the city development scale and the spatial layout scheme to obtain evaluation indexes of the city development scale and the spatial layout scheme; and if the urban development scale and the spatial layout scheme of which the evaluation index is greater than the threshold value exist, outputting the urban development scale and the spatial layout scheme of which the evaluation index is maximum. According to the invention, exploration, evaluation, planning, maintenance, development, utilization and other functions of natural resources are comprehensively implemented, a coordination system for cooperation among departments is constructed and perfected, and the functions and responsibility division of the related departments in the fields of natural resource management and control and land space layout planning are clearly defined.

The invention provides an urban space resource optimal configuration method based on an urban information model, and relates to the field of space resource configuration, and the method comprises the steps: S1, data acquisition and preprocessing, S2, dynamic association feature extraction, S3, space-time cooperative supply and demand matching, S4, dynamic demand prediction, and S5, facility layout optimization. According to the method, on the basis of a city information model, iterative optimization of city space resources such as infrastructures in the whole life cycle of planning, construction and management is achieved, the problems that in the construction process or after the infrastructures are constructed, due to uncontrollable factors of city development, the requirements are reduced, and public resources are redundant are effectively solved, and the economic benefits of the infrastructures are improved. The utilization rate of urban space is effectively improved, and the planning and construction cost of infrastructures is reduced.

The invention discloses a suburban transition area range and type identification method, and relates to the technical field of city attribution, and the method comprises the steps: collecting and preprocessing multi-source city big data, and determining the characterization of different expansion modes through the multi-source city big data; the method comprises the following steps of: detecting and extracting different urban development boundaries by using a Densis-Graph threshold extraction method; identifying a city core area UCZ and a suburban transition area USTZ driven by different factors through a city development boundary detected by superposition and dislocation, and subdividing the USTZ into a planning-dominant USTZ and a market-dominant USTZ; the spatial balance of suburban transition areas is analyzed by utilizing raster data, the heterogeneity and the spatial development balance of the suburban transition areas are analyzed, and the expansion mode of metropolitan areas is defined. According to the method, USTZ recognition is independent from urban and rural transition area recognition, and on the basis of USTZ recognition, a power mechanism and spatial development balance analysis are fused, so that the defect that the existing technical scheme can only analyze a static spatial pattern but cannot dynamically analyze spatial formation and spatial evolution is overcome.

The invention discloses a storey-adding construction method for a basement with an existing box type foundation and a multi-layer frame structure, and belongs to the technical field of constructional engineering and city renewing.The storey-adding construction method comprises the following steps that S1, storey-adding buildings of the existing basement are evaluated; s2, underground diaphragm wall construction; s3, reinforcing the existing basement storey-adding building foundation; s4, the overground structure of the existing basement storey-adding building is reinforced; s5, foundation underpinning construction is conducted; s6, earth excavation is conducted at the storey-adding position of the existing basement; s7, construction of a storey-adding foundation bottom plate; and S8, layer-adding underpinning column and top plate construction. According to the storey-adding construction method for the basement with the box type foundation and the multi-layer frame structure, storey-adding transformation is conducted on the basement of an existing building, the usable area of the building is effectively increased, the construction efficiency is improved, the influence on the surrounding environment is reduced, and the urban development and the ever-increasing space requirements of people are met.

The invention relates to the technical field of urban planning, in particular to a historical and cultural oriented space classification and regeneration method and system. The method comprises the following steps: acquiring historical culture data, and performing multi-modal perception on the historical culture data to obtain historical culture spatial data; performing deep feature extraction on the historical and cultural spatial data to obtain historical and cultural element data; performing spatial semantic map construction on the historical and cultural element data to obtain spatial semantic map data; performing age evolution trajectory classification on the spatial semantic map data to obtain historical and cultural spatial classification data; performing space regeneration generation according to the historical and cultural space classification data to obtain space regeneration data; and acquiring urban planning demand data, and performing spatial regeneration fusion according to the urban planning demand data and the spatial regeneration data to obtain spatial regeneration fusion data. Space regeneration is carried out in combination with city planning, and dynamic balance between historical and cultural protection and modern city development is effectively achieved.

The invention belongs to the technical field of urban planning and construction, and particularly relates to an urban circle city development and scientific and technological innovation coordination coupling level evaluation method based on multi-source data. The method mainly comprises an evaluation index system construction step, a data acquisition and preprocessing step, a comprehensive score determination step, a system coupling coordination degree calculation step and a system coupling interaction relation evaluation step. Aiming at the problem that the existing urban circle development evaluation neglects the coupling effect of scientific and technological innovation and urban development, the method comprises the following steps of: constructing an urban development and scientific and technological innovation evaluation index system, collecting multi-source data such as land utilization data and statistical yearbook data and preprocessing; and evaluating the relative development degree in the city and the development difference degree between the cities by using an entropy method and a coupling coordination degree model. The method breaks through the limitation of traditional single-dimension and single-tool evaluation, can effectively reveal the interaction rule of an urban circle'city-department and creative 'composite system, and provides a practical basis for urban circle innovation resource allocation and urban development planning.

The invention discloses a method for evaluating the development of a low-carbon city under multi-condition constraints, and the method comprises the steps: S1, building a carbon emission prediction model: employing a gray correlation analysis method, taking the carbon emission over the years as a reference sequence, taking each influence factor as a comparison sequence, selecting social and economic factors which affect the carbon emission as constraint conditions, and carrying out the prediction of the carbon emission; the correlation degree between the influence factors is measured, and a regional carbon emission prediction model is constructed; s2, constructing a regional low-carbon development chasing model, analyzing urban low-carbon planning influence factors, and predicting the carbon emission of the region through an IPAT model; s3, determining a carbon emission prediction function, performing ridge regression analysis through a variance expansion factor (VIF), fitting a ridge regression result to determine a ridge regression equation, and establishing an STIRPAT expansion model; and S4, analyzing a result calculated by the STIRPAT expansion model, and planning an urban low-carbon development route under a double-control target in combination with problems existing in the urban development process.

The invention relates to the technical field of data processing, and discloses an urban space structure collaboration measurement method and system, and a storage medium. The method comprises the following steps: performing gridding processing on urban space elements through multi-temporal data acquisition to obtain a three-dimensional data matrix; calculating a space-time dynamic coupling coefficient by adopting an improved gravity model according to the three-dimensional data matrix; constructing a space-time bidirectional weighting network through a bidirectional weighting algorithm; a dynamic collaboration degree index DSCI is calculated based on network self-adaption; and determining a collaboration degree threshold value through multi-level nesting identification, and obtaining a measurement report. According to the method, through constructing the space-time bidirectional weighted network and the dynamic coordination degree index DSCI adaptive calculation algorithm, the space-time dynamic coupling relation quantification precision of the urban space structure coordination measurement is improved. Meanwhile, a self-adaptive collaboration degree threshold combination is established through multi-level nesting recognition, and the dynamic adaptability of the collaboration evaluation standard to the urban development stage and policy environment change is improved.

The invention discloses a cellular automaton-based land utilization and urban element collaborative simulation method. The method comprises the following steps of: calculating the development probability of each element; the method comprises the following steps of: constructing a cellular automata (CA) model of each element; space collaborative simulation calculation; and evaluating the result precision. According to the method, the urban land use change simulation precision can be effectively improved, the land use change in reality can be better simulated, the simulation precision of population and economic elements can be improved, and the interaction and synergistic effect between different urban elements are effectively revealed. By means of multi-element collaborative simulation, small changes of urban development elements can be caught more finely, and the method has good perception ability for residential land, industrial land, commercial land, public management land and the like and has important significance for simulating urban collaborative development and reasonably planning urban layout.

The invention provides an urban coordinated development evaluation method based on water resources and coupling factors thereof, and belongs to the technical field of development evaluation based on deep learning. The method comprises the following steps: firstly, constructing a structured data set covering a ternary system, and introducing a physical quantization tag to ensure the objectivity of an evaluation result; secondly, designing a causal modeling network with a two-level structure, fusing system-level and index-level contribution analysis mechanisms, and realizing structured mining of a coupling causal relationship; then, through a model structure inversion mechanism, proposing a three-item multi-dimensional index system for evaluating the potential, coordination and stability of urban development; and finally, in combination with structure prior information and an evaluation result, constructing a game theory-driven multi-round regulation and control path deduction framework, and realizing automatic generation of a collaborative variable regulation and control scheme and prediction and evaluation of a development effect, thereby providing high-quality collaborative development path suggestions with reasonability and mechanism interpretability for cities.

The invention discloses an urban construction industrial carbon reduction path optimization and determination system, medium and equipment, and the system is characterized in that a model composed of an industrial carbon reduction object evaluation index obtaining module, an industrial carbon reduction object typing module, an industrial carbon reduction technology path generation module and a carbon reduction technology path optimization module is established; a comprehensive evaluation function is constructed for the industry of the city construction boundary range class through a genetic algorithm and the city based on the development characteristics of the city, so that the optimal carbon reduction technology path under each industry type is obtained, and finally, the economical efficiency and carbon reduction performance comprehensive optimal carbon reduction technology path in the low-carbon city construction industry field is formed. The path can fully reflect the advantages and characteristics of urban low-carbon development and the carbon reduction target, the carbon reduction target of the city can be achieved conveniently, the problem that the industrial carbon reduction path is unknown in the current urban construction process is effectively solved, and the urban construction industrial carbon reduction path conforming to the urban development policy is provided while the urban economic development is guaranteed.

The invention relates to the technical field of strategy evaluation simulation systems, in particular to an urban sustainable development evaluation simulation system and method, and the system comprises a strategy module, an industrial module, a social economy module, an energy module, a water resource module, an agriculture module, an ecological environment module, a land module and a region welfare climate scene module. The module is used for predicting changes of different social ecosystem elements in the future and providing quantitative support for sustainable development. According to the invention, a meta-model system is established, integration of multiple modules and multiple methods is realized, and a complete and advanced evaluation system and integration framework are formed. According to the invention, the elements of each module and the mutual relation among the modules can comprehensively consider multiple aspects of urban development, and comprehensively consider the welfare levels of three dimensions of economy, society and environment, thereby reflecting the comprehensiveness of sustainable development, and improving the development efficiency through the positive cycle of welfare-investment-growth. And interaction and mutual promotion among elements of sustainable development are emphasized, and the accuracy and reliability of evaluation are improved.

The invention relates to the technical field of urban development planning, in particular to an urban development planning optimization method and system based on deep learning and data mining. The method comprises the steps of obtaining a plurality of sub-street diagrams based on a street network diagram and historical traffic data, and generating a topology coefficient array and a congestion coefficient array; generating a coherent array based on the topology coefficient array and the congestion coefficient array, performing normalization processing on the coherent array to generate a coherent coefficient array, and obtaining a target street; obtaining congestion factors of the target street based on historical traffic data and design information, and generating an optimization scheme combination based on the congestion factors and the coherence coefficient array; obtaining a simulation result through a simulation unit; and if the ratio of the simulation result to the optimization target does not meet the set threshold value, obtaining the coherence coefficient array and the simulation result again until the optimal optimization scheme combination is iterated. The problem that the optimization scheme is not accurate enough is solved, and the precision of optimization scheme combination is improved.

To provide a system.SOLUTION: A system includes: means for collecting conversations of people in front of stations, restaurants, or the like in the city at a level that does not infringe on privacy; means for extracting characteristics such as specific words from the conversations of people; means for inputting the extracted words into a generative AI; and means for generating concepts of town development and images of stores, buildings, and parks from characteristic words and utilizing them in zoning plans and store strategies.SELECTED DRAWING: Figure 1

This invention discloses a method for identifying the scope and type of suburban transition zones, relating to the field of urban demarcation technology. The method includes: collecting and preprocessing multi-source urban big data, and using this data to clearly characterize different expansion patterns; detecting and extracting different urban development boundaries using the Densi-Graph threshold extraction method; identifying the urban core zone (UCZ) and the suburban transition zone (USTZ) driven by different factors by superimposing and dislocating the detected urban development boundaries, and subdividing the USTZs into planning-driven and market-driven USTZs; and analyzing the spatial balance of suburban transition zones using raster data, analyzing their heterogeneity and spatial development balance, and clarifying the expansion pattern of metropolitan areas. This invention separates USTZ identification from urban-rural transition zone identification and, based on USTZ identification, integrates dynamic mechanism and spatial development balance analysis, addressing the shortcomings of existing technical solutions that can only analyze static spatial patterns but cannot dynamically analyze spatial formation and spatial evolution.

The VILLAGE BLEU is an urban development structure designed to regulate legal migration to Europe. It is characterized by the fact that - it enables legal migration and makes illegal migration unnecessary. This makes humane immigration into Europe possible. - The VILLAGE BLEU site is not located on European soil. The site is preferably located on the territory of a non-EU state (item 5) and is a plot of land, likely leased temporarily, from the European Union by a non-EU state for the construction of a city-state structure. The European Union will pay the non-EU state – essentially the lessor of the land – some form of rent. - as a city-state belonging to the European Union, with all European regulations and laws. The Village Blue is thus a kind of temporary city-state. No single EU member state has the authority to govern this territory, but rather the European Union, headquartered in Brussels. Therefore, the Village Blue is a city-state of the EU. Perhaps in some respects comparable to the status of the Hong Kong Special Administrative Region until 1997. If the VILLAGE BLEU is located on the African continent, for example, all those wishing to migrate will have the opportunity to reach the EU without having to use the dangerous sea route (e.g., the Mediterranean route). Migration will then only take place via the VILLAGE BLEU. Migrants who do not immigrate to the EU via the VILLAGE BLEU will be transferred to the VILLAGE BLEU upon identification and arrest. This is not a so-called deportation to a third country, as the VILLAGE BLEU is European territory. Illegal migrants will lose the possibility of obtaining permanent residency in the near future. This will significantly contribute to preventing those wishing to migrate from falling into the hands of smugglers. Thus, the VILLAGE BLEU essentially deprives smugglers of their business model.

The invention relates to a city development talent demand prediction method and device, and a storage medium. The method comprises the following steps: selecting city research time nodes, input elements and output elements; collecting corresponding input element data and output element data of the city at the research time node; based on the input element data and the output element data, adopting a Cobb-Douglas production function to determine the output elasticity of each input element of the city; determining marginal output data and average output data of each input element according to the output elasticity; drawing a total output curve, an element marginal output curve and an average output curve of the city according to the total output data, the marginal output data and the average output data of each research time node of the city; according to the curve position relation, the urban talent development stage is determined, and a prediction result of the talent demand is generated. According to the method, the effects of capital, labor force and technical progress factors in the production process are described from the macroscopic perspective, and the influence of the talent number and quality on urban development is quantified.

To provide a technique for properly identifying a change factor of an emotion of a subject contributing to community building, facility building, etc.SOLUTION: An exemplary analysis device detects an emotion of a subject according to the movement of the subject, detects an emotion change position where the emotion has changed, based on the detected emotion, and identifies environmental information corresponding to the emotion change position as change factor information of the emotion.SELECTED DRAWING: Figure 2

The invention relates to the technical field of urban planning and intelligent transportation, in particular to an urban development planning optimization method and system based on deep learning and data mining. Comprising the following steps: S1, multi-source data acquisition and standardization processing: 1.1, acquiring three types of data: urban basic data, traffic signal core data (including a traffic signal lamp timing scheme, an operation state and a traffic flow triggering timing adjustment record). A'planning-traffic signal 'collaborative prediction model is constructed, the problem of traditional planning staticization is solved, a'traffic signal-planning adaptation degree index' is provided, quantitative matching of a planning scheme and a traffic signal system is realized, a'double-input-double-output 'deep learning architecture is designed, prediction precision is improved, and prediction efficiency is improved. The method supports the automatic generation, visual display and dynamic iteration of a planning scheme, can be directly connected with intelligent transportation equipment, and reduces the manual intervention.

The invention provides a Binjiang space vitality measurement and vitality influence factor analysis method and system, and the method comprises the steps: constructing a macroscopic (urban energy level / function positioning), mesoscopic (district level) and microscopic (site activity) three-level vitality measurement system, and enabling the macroscopic level to be in butt joint with the urban development stages such as land utilization and economic data; dynamic states such as thermodynamic data and activity annotation are used in the butt joint space of the middle and micro levels, and the problem that the adaptability of a traditional research macroscopic area is insufficient is solved; according to the method, a closed-loop technical path of collection-processing-analysis-diagnosis-optimization is formed, the problem of insufficient suitability of a Binjiang city space vitality measurement macroscopic region is solved, and the influence of city development, Binjiang space flood control attributes, Binjiang space design, operation management and the like on Binjiang space vitality is comprehensively considered; and a theoretical basis is provided for optimization and improvement of Binjiang space vitality.

The present invention relates to the field of correlation analysis between urban space and population flow. Disclosed is a method for analyzing correlation between urban spatial three-dimensional structure and population flow. The method comprises the following steps: constructing an urban construction indicator system on the basis of an urban construction dataset, and performing structure feature analysis on the urban construction indicator system to obtain three-dimensional space structure features of urban construction; using a base station to acquire mobile phone signaling data, identifying commuting behaviors of urban populations, and constructing network structure features of urban population flow; and using a LightGBM algorithm to construct and train a regression model, and performing interpretative analysis on the regression model by means of a SHAP algorithm. In the present invention, by analyzing the spatiotemporal correlation between urban spatial features and population flow, the importance of various features of urban spatial structure to population flow is investigated, and then population flow trends are effectively utilized to provide valuable references for the direction of urban development planning.

The invention discloses a multi-objective optimized urban development boundary land intelligent configuration simulation method, which comprises the following steps: S1, acquiring multi-source original data of a to-be-simulated city, and preprocessing the multi-source original data; s2, based on the preprocessed data, dividing urban land basic units, extracting feature information of each unit, and constructing an urban development boundary configuration basic data set; and S3, building a city development scene generation model of a generative model architecture, and taking the basic data set as input. The invention relates to the technical field of city planning and simulation. According to the multi-objective optimized intelligent configuration simulation method for the urban development boundary land, a generative model and a deep learning technology are adopted, a virtual development boundary scheme is generated according to multi-source data, the virtual development boundary scheme and actual urban land data are compared and analyzed, a deviation value is calculated, model parameters are automatically adjusted, iterative optimization is carried out, and the intelligent configuration simulation method for the urban development boundary land is achieved. And the development scheme gradually tends to be optimal.

The present invention provides a method for calculating urban carbon emissions based on nighttime light remote sensing and improved STIRPAT, comprising the following steps: processing nighttime light remote sensing data; then constructing a city development factor CDE (City Development Element) for provincial and municipal regions; using provincial statistical yearbook data to construct an improved STIRPAT; obtaining a model intercept term through a panel data regression model, and inverting carbon emissions at the municipal scale. The present invention proposes a city development factor CDE constructed based on nighttime light remote sensing data, which solves the problem of inconsistent caliber and missing data items of energy statistical data at the municipal scale, and can more accurately invert carbon emissions from provincial scale to municipal scale, thereby improving calculation accuracy.

The application provides a riverside space vitality measurement and vitality influence factor analysis method and system, constructs a macro (city energy level / function positioning), medium (district level) and micro (site activity) three-level vitality measurement system, the macro level is connected with the city development stage such as land utilization and economic data, the medium and micro level is connected with space use dynamics such as heat data and activity annotation, and the problem of insufficient adaptability of traditional research macro region is solved; the application forms a closed-loop technical path of "collection-treatment-analysis-diagnosis-optimization", solves the problem of insufficient adaptability of riverside city space vitality measurement macro region, considers the influence of city development, riverside space flood control property, riverside space design and operation management on riverside space vitality, and provides a theoretical basis for optimization and promotion of riverside space vitality.

To promote urban improvement and expansion by utilizing the data collected and analyzed by AI, grasping the current state and future demand of cities through work proxy and data processing by generative AI, early detecting problems, and performing design and simulation in order to solve the problems of transportation in urban development, energy consumption, and cities.SOLUTION: A system for urban development includes: means for solving problems such as transportation, energy consumption, and urban development by utilizing the data collected by AI, means for grasping the current state and future demand of a city through human work proxy and urban data processing by generative AI to early detect problems; and means for promoting urban improvement and expansion by implementing design and simulation by generative AI.SELECTED DRAWING: Figure 1

This invention relates to the field of urban planning technology, and more particularly to a historical and cultural-oriented spatial classification and regeneration method and system. The method includes the following steps: acquiring historical and cultural data, and performing multimodal perception on the historical and cultural data to obtain historical and cultural spatial data; extracting deep features from the historical and cultural spatial data to obtain historical and cultural element data; constructing a spatial semantic map from the historical and cultural element data to obtain spatial semantic map data; classifying the spatial semantic map data according to its chronological evolution trajectory to obtain historical and cultural spatial classification data; generating spatial regeneration data based on the historical and cultural spatial classification data to obtain spatial regeneration data; acquiring urban planning demand data, and integrating the urban planning demand data and the spatial regeneration data to obtain integrated spatial regeneration data. This invention combines urban planning with spatial regeneration, effectively achieving a dynamic balance between historical and cultural preservation and modern urban development.

The invention provides a game resource transmission method and device, terminal equipment and a storage medium, and the method comprises the steps that in response to a building operation in a game scene, at least one functional building is generated, and the functional building at least comprises one of a virtual energy production device and a peripheral production building, in response to construction operation of a virtual connecting device between the functional buildings, a resource transmission path between the functional buildings is established, and the virtual connecting device at least comprises one of a virtual cross beam and a virtual keel; and transmitting resources produced by the functional building and / or the resource building within the energy coverage of the functional building. Unified management of the resource buildings in the energy coverage range of the functional buildings is achieved by establishing the virtual connection device, and visual feedback is given to urban development while the game burden is relieved.

The present invention relates to the technical field of data processing, and specifically discloses a comprehensive evaluation method for the sustainability of urban development, comprising setting a monitoring period and obtaining monitoring values ​​of monitoring items related to urban development within the monitoring period, and generating a pollution coefficient of the city based on the monitoring values; setting a judgment interval, and comparing the pollution coefficient with the judgment interval to obtain a judgment result; and generating an evaluation result based on the judgment result. The present invention provides a comprehensive evaluation method and steps, and makes a preliminary evaluation of the development status of the city through the pollution coefficient, so as to judge whether the current city can continue to develop industries with pollution overflow in most cases, and provide basic evaluation and guidance for the development of the current city. In addition, the judgment interval not only reflects the current monitoring period, but also takes into account the situation of meeting the development needs of the main city in the next period, thereby generating a variable margin, helping the current city to better plan in advance and improve the fault tolerance rate of the evaluation.

The invention relates to the technical field of surveying and mapping geographic information, in particular to a surveying and mapping data asset evaluation system based on urban development prediction. Comprising a city development trend prediction unit, a data asset dynamic definition unit, an adaptive value composition and influence factor analysis unit, an intelligent feature construction and weight dynamic allocation unit, a prospective value model construction unit and an evaluation and decision support unit. According to the invention, an advanced city development trend prediction model is constructed, and the output result of the model is deeply fused to key evaluation links such as data asset identification, value composition analysis, influence factor screening, feature construction and weight distribution value model construction. Therefore, a surveying and mapping geographic information data asset evaluation system with dynamic response capability and a look-ahead judgment function is established. According to the system, full-life-cycle, multi-dimensional and high-precision evaluation of data assets can be realized, and scientific and reliable value support is provided for urban planning, modern governance and digital economic development.