48 results about "City development" patented technology

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 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 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.

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 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.

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 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.

The application provides a kind of urban space resource optimization configuration method based on city information model, it is related to space resource configuration field, comprising: step S1, data acquisition and pretreatment, step S2, dynamic association feature extraction, step S3, space-time coordination supply-demand matching, step S4, dynamic demand prediction, step S5, facility layout optimization.The method is based on city information model, realizes the iterative optimization of infrastructure and other urban space resources in the whole life cycle of planning, construction and management, effectively avoids the problems such as demand reduction and public resource redundancy caused by uncontrollable factors of urban development during the construction process or after the completion of infrastructure, effectively improves the utilization rate of urban space and reduces the planning and construction cost of infrastructure.

The present invention discloses a system, medium and equipment for optimizing and determining industrial carbon reduction paths for urban construction. The system establishes a model consisting of four modules: an industrial carbon reduction object evaluation index acquisition module, an industrial carbon reduction object classification module, an industrial carbon reduction technology path generation module and a carbon reduction technology path optimization module. The system uses a genetic algorithm to evaluate industries within the boundary range of urban construction, and the city constructs a comprehensive evaluation function based on its own development characteristics to obtain the optimal carbon reduction technology path for each industrial type, and finally forms a low-carbon urban construction industrial field carbon reduction technology path with the best comprehensive economic and carbon reduction performance. The path can fully reflect the city's low-carbon development advantages, characteristics and carbon reduction targets, facilitate the city to achieve its carbon reduction targets, effectively solve the problem of unclear industrial carbon reduction paths in the current urban construction process, and provide an urban construction industrial carbon reduction path that conforms to the city's development policy while ensuring urban economic development.

The present application relates to the technical field of urban development planning, and in particular to an urban development planning optimization method and system based on deep learning and data mining. The method comprises: obtaining multiple sub-street maps based on a street network map and historical traffic data, generating a topology coefficient array and a congestion coefficient array; generating a coherence array based on the topology coefficient array and the congestion coefficient array, normalizing the coherence array to generate a coherence coefficient array, and obtaining a target street; obtaining the congestion factor of the target street based on historical traffic data and design information, and generating an optimization scheme combination based on the congestion factor and the coherence coefficient array; obtaining a simulation result through a simulation unit; if the ratio of the simulation result to the optimization target does not meet the set threshold, re-obtaining the coherence coefficient array and the simulation result until the best optimization scheme combination is iterated. The present application solves the problem of insufficient accuracy of the optimization scheme and improves the accuracy of the optimization scheme combination.

The application relates to the technical field of dynamic updating of urban data bases, in particular to a dynamic updating method and system based on a smart city data base, which comprises the following steps: obtaining and preprocessing multi-source data from a digital city super-brain station and the city data base; performing feature extraction on the multi-source data to divide core interest and attention areas and construct regional comprehensive updating demand degrees of the core interest and attention areas; and arranging the order of the core interest and attention areas in the next round of incremental updating according to the regional comprehensive updating demand degrees. The application aims to timely adjust the regional priority in the dynamic incremental updating of the updating process of the city data base, improve the dynamic updating efficiency and accuracy of the increment, and timely respond to the changes in the city development.

The invention discloses an urban land utilization planning aided decision-making method and system based on big data, and the method comprises the steps: collecting land data and monitoring data of a plurality of preset cities, carrying out the semantic segmentation of a high-resolution remote sensing image of the land data according to deep learning, and obtaining a current land use type; setting initial weights of the partitions by adopting a multi-objective optimization algorithm; performing dynamic planning analysis according to the monitoring data to obtain a land utilization planning index, and when the land utilization planning index is greater than an index threshold value, introducing a dynamic weight adjustment mechanism to adjust the initial weight and refine partitions to obtain a grid region marked with the dynamic weight; step-by-step mask fuzzy C-means clustering is adopted to carry out secondary clustering on the grid region to obtain a local fine weight region, and a satisfactory decision-making mechanism is constructed according to the local fine weight region and urban development planning; and according to the satisfaction decision-making mechanism, constructing an urban land utilization planning auxiliary decision-making model, and carrying out multi-objective optimization on the urban land utilization planning auxiliary decision-making model.

The invention relates to a roof planting system. The roof planting system comprises a soil layer laid on a roof surface layer, plants planted on the soil layer and a drainage device arranged at a drainage port of the roof surface layer. The soil layer is formed by mixing the following raw materials in percentage by weight: 55%-65% of natural soil, 15%-25% of humus soil and 15%-25% of gravel soil; the thickness of the soil layer is 3-5 cm; the plants comprise perennial creeping ground cover plants and leaf vegetables; the perennial creeping ground cover plants grow to form grass clusters, and the leaf vegetables are planted in the grass clusters. According to the roof planting system, a self-maintaining ecological system is constructed under the condition of thin soil of 3-5 cm, ecologicalization and light weight of roof planting are achieved, and the roof planting system has important practical significance in promoting resource utilization of urban idle roof space, promoting deep fusion of biological economy and urban development and relieving human-ground contradiction.

The invention provides a hub city associated feature tracking analysis method and system based on network analysis, and relates to the technical field of data analysis, and the method comprises the steps: collecting multi-source and multi-dimensional data of a hub city, and constructing a multi-dimensional database which comprises traffic flow, economic flow, information flow and population flow; with cities as nodes and inter-city flow data as edges, edge weights are set, and a multi-level network model of the hub cities is constructed; carrying out network index calculation based on a network analysis method, and establishing a city multi-dimensional interaction relationship; through time sequence analysis of historical data and real-time data, time sequence reverse tracking and time sequence forward trend prediction are carried out, and multi-dimensional feature association strength and development direction are analyzed. According to the invention, the technical problem that the prediction of the future city development trend is lack of accuracy and foresight because city association analysis is generally carried out based on a single data source and the interaction relationship of hub cities in multiple dimensions cannot be comprehensively reflected in the prior art is solved.

The invention discloses a digital city-oriented decentralized artificial intelligence content generation method, and belongs to the technical field of artificial intelligence content generation, and the method comprises the steps: activating city digital DNA through an Internet of Things device and a social platform according to city operation data. According to the method, a unified semantic model of urban operation data is constructed, dynamic extraction of urban comprehensive operation characteristic values is realized, heterogeneous data is cleaned and converted into an analyzable semantic model by establishing a unified data access standard, so that urban operation characteristic parameter extraction is more comprehensive and accurate, and characteristic weight coefficients are dynamically adjusted based on an urban development stage; and a city DNA activation mechanism can adapt to the development stages and characteristics of different cities.

This invention relates to a visual generation method and system based on digital cultural tourism scenarios, belonging to the field of smart cultural tourism. The method is used in a control unit within the visual system, which controls the display unit of the visual system to display videos to visitors from other locations. The method includes: S1, obtaining corresponding tags of basic information of visitors from other locations, and corresponding tags of the original cultural tourism animation to be displayed; S2, generating a target video animation based on a set of content tags according to preset matching rules. In the process of urban development, smart cultural tourism plays an important role in external or inter-regional exchanges, requiring the presentation of the city's image or culture to visitors from other places. Based on this, the solution described in this application can realize the intelligent generation of visual results for cultural tourism scenarios, displaying reasonable visual generation results according to the specific circumstances of visitors from other locations, thereby enhancing the experience of cross-regional cultural exchange.

The present invention relates to a cluster information management system (100) for urban renewal. The system (100) includes an input module (202), a processing module (204), an output module (206), and a storage module (208). The method (300) involves collecting data involves all types of structures such as residential, commercial, public, and semi-public amenities, infrastructure facilities, utilities, trees, geographical features, topographic features, roads, gullies, and lanes using input module (202), followed by transmitting to the processing module (204) for further processing. The method (300) further includes processing and analyzing the received data using machine learning algorithms to generate the route map. The method (300) further includes connecting the generated route map with pre-stored beneficiary finalization to build project structure. The method (300) further includes displaying building project structure on user interface (108) of the user device (102), facilitating decision-making and urban development initiatives.