28 results about "Urban design" patented technology

The invention belongs to the crossing field of urban design and multidisciplinary, and particularly relates to a mountain historical block ownership perception evaluation method based on multi-modal data, public spaces of mountain historical blocks are divided into multiple types, an experimental path is selected from each public space, and multiple experimental parking points are selected from each experimental path; the evaluation index system comprises physiological data, psychological data and spatial data, and the spatial data comprises feature data and acoustic environment data; for each experiment path, obtaining feature data, recruiting a plurality of experimenters, collecting acoustic environment data and physiological data of each experimenter in real time, and collecting psychological data from the experimenters in real time in a questionnaire mode at an experiment stop point; independent variables are defined as spatial data, dependent variables are defined as psychological data and physiological data, based on experimental data, the relation between the independent variables and the dependent variables is learned through a random forest model, and bar charts of the influence degrees of the independent variables and the dependent variables are output; and the evaluation result is more accurate and persuasive.

The application provides a kind of urban design scheme image generation method and device, with such characteristics, including step S1, according to existing city planning image construction training data set;Step S2, construct planning parameter prediction model and design generation model, and according to training data set respectively training, obtain trained planning parameter prediction model and trained design generation model;Step S3, input specified region image into trained planning parameter prediction model, obtain corresponding predicted planning parameter;Step S4, input predicted planning parameter and specified region image into trained design generation model, obtain design scheme image.In short, the method can generate effective and have specified features and style design scheme image according to specified image.

The present invention relates to a measurement method for high-density three-dimensional composite urban form characteristics, and a computing apparatus and a storage medium. The measurement method comprises: delineating a three-dimensional identification boundary, and acquiring raw map data; performing screening processing on the raw map data, and performing three-dimensional modeling within the identification boundary; calculating three-dimensional characteristic measurement indices; selecting three-dimensional base coverage rate and three-dimensional base plot ratio to construct a coordinate system, and classifying sample indices into hierarchies according to distribution characteristics; using a hierarchical clustering algorithm to constantly perform iteration until all data is combined into one category; and storing the data, building a three-dimensional urban database, and keeping the data updated. The present invention is aimed at the form characteristics of three-dimensional composite urban development during the renewal of high-density cities, and solves the problems in the prior art of it not being possible to precisely express three-dimensional urban forms and it also not being possible to perform effective quantitative analysis on the three-dimensional urban forms during urban design.

The application relates to a city design scheme generation method, device and equipment and a storage medium. The method comprises the following steps: obtaining multi-dimensional index data from a data source, performing a preprocessing operation to obtain a sample data set, constructing a data warehouse, obtaining related data of a city design scheme to be generated input by a user, dividing target plots according to the related data, calculating initial attribute indexes of each target plot, optimizing the initial attribute indexes by using predicted attribute indexes output by an index prediction model, obtaining target attribute indexes of each target plot, calculating building shape parameters of the city according to the target attribute indexes, generating an initial three-dimensional model of the city design scheme, and identifying the initial three-dimensional model by using different colors to obtain a target three-dimensional model of the city design scheme. The application can generate a city design scheme which is compliant, reasonable, has distinct city characteristics and designer will, and has high practicability.

The invention provides an automatic modeling method for a high-density urban street canyon space. The automatic modeling method comprises the following steps: determining an acquisition range and acquiring basic data; effective street center lines are identified and screened out, an effective sampling range is obtained by measuring the maximum sampling distance, and effective building objects in the sampling range are identified; for each street, building a building projection reference surface according to a street center line, and measuring and identifying a projection surface of an effective building contour; for each street, according to a building projection reference surface constructed by a street center line, measuring and identifying a projection surface of a street space without building projection; and for each street, constructing a street canyon space model of all effective street objects through all projection surfaces and projection distances between each building or a street space without building projection and the projection surfaces, and carrying out association marking on the street canyon space model and a corresponding street number. The method aims at quantitatively analyzing the street canyon spatial form on a large scale, and a scientific and rational basis is provided for urban design and street public space planning.

The application relates to the technical field of three-dimensional rendering, in particular to a digital city design city model visual display system, which comprises a use calibration module, a component combination module, a path guiding module, a visual angle scheduling module and a rendering display module. In the application, through optimization of use calibration in city space and detailed processing of geographic information, more accurate visual performance of the use of the city model space is realized, through dynamic adjustment of the anchor point of the use space, more reasonable space utilization distribution and visual display are realized, more intelligent decision making in city planning and building design is supported, through extraction and combination of building components with different functions, the functional semantic expression of the model is further strengthened, the information value and practicability of the model are enhanced, the interactivity and educational significance of the model are strengthened, and the improvement of the rendering display makes the model more realistic in vision and more capable of accurately reflecting the appearance of a real city, thereby improving the display quality and attraction of the model.

This invention provides a method and system for generating 3D digital maps of cities based on spatial entropy, relating to the field of artificial intelligence-based urban design. The method includes constructing a 3D spatial digital map based on land use function plots, measuring and displaying the spatial entropy of these plot units, collecting data on population activity and public sentiment, identifying and displaying plots requiring secondary updates and warnings, adjusting and reviewing the spatial entropy before updating, stitching together the adjusted 3D digital maps, and printing them out for reference by planning, design, and management personnel. It focuses on the production and display technology of large-scale 3D digital map images based on spatial entropy, achieving accurate expression of large-scale urban landscape features across a wide area, enabling real-time display of urban landscape features and rapid revelation of basic patterns, thus improving the efficiency and accuracy of determining urban landscape features.

The invention discloses a city design auxiliary optimization management system based on multi-modal data, and relates to the field of auxiliary optimization, and the system comprises a data collection module which is used for constructing a three-dimensional city image, obtaining a corresponding three-dimensional city function image layer according to the three-dimensional city image and structure function information, and obtaining function collection data; the data processing module carries out function evaluation on the collected function collection data and obtains function coverage data; the defect analysis module obtains corresponding functional defect data according to the functional coverage data; an optimization analysis module carries out vertical plane superposition and combination on the functional defect data at different positions in each three-dimensional urban functional map layer to obtain functional cooperation data at each position among different structure functional information; the design auxiliary module carries out scheduling matching on function defect data corresponding to different structure function information in sequence according to the obtained function collaboration data, and design auxiliary information is generated; according to the invention, the accuracy of the city design auxiliary optimization management process is improved.

The application discloses a city plot height self-adaptive generation and demonstration platform based on an artificial intelligence algorithm, and comprises the following steps: site data collection and calculation; case data collection and conversion; site space structure generation and structure potential value division; spatial structure holographic display and selection; plot height self-adaptive generation; human-computer interaction adjustment of plot height; scheme judgment and output; the city plot height self-adaptive generation and demonstration platform based on the artificial intelligence algorithm solves the problems of complicated traditional manual scheme design process, long working period, poor interactive design, high labor cost and the like, and further improves the efficiency of plot height generation; integrates the designer thinking and computer logic, realizes a top-down and bottom-up combined height form scheme generation method, and responds to city design height scheme generation in more scenes.

The invention relates to the technical field of urban planning, in particular to a street space livable measurement method under multi-source data fusion, which adopts an active sensing technology to carry out quantitative measurement research on street view data, space syntactic data and wind environment data in a space based on a human livable sensing view angle. On the basis of a human-based space livability evaluation index, an evaluation index weight and an index evaluation standard are further perfected, and a new scientific basis is provided for stock space update and development. For urban design practice requirements of urban micro-update under the human scale, the street space quality research needs continuous, large-scale and high-precision street space characteristic measurement instead of a few street section surfaces. Based on this, the research data of the method has good geographic position information attribute characteristics, rapid and accurate evaluation of the space livable quality is realized, and the research purpose of truly guiding human-scale street space quality micro-update practice is achieved.

The invention discloses a crowd behavior pedigree modeling method based on multi-modal identification and high-precision positioning. The method comprises the following steps: step 1, collecting sample data; 2, performing high-precision behavior data fitting; step 3, extracting a multi-modal behavior factor; 4, constructing a behavior type pedigree; and step 5, database integration and visual display. According to the method, accurate alignment of behaviors and spatial information is realized by fusing video images and positioning data and combining target detection, posture recognition and spatial reconstruction. And then multiple types of behavior factors including speed, direction, attitude, facility interaction and group interaction are extracted, a behavior graph structure is constructed, a graph neural network is adopted to identify behavior types, and a structured pedigree model is formed. The method can cope with application scenes such as public space behavior recognition, city design optimization and smart city management, and fine analysis and presentation of a target space crowd behavior mode are realized.

The invention discloses a sponge city design method and system, a terminal and a storage medium, and the design method comprises the steps: obtaining second multi-source data of a target region, the second multi-source data comprising future predicted rainfall data, topographic data, ground coverage data and drainage system data; building future climate scene simulation of the target area according to the second multi-source data to generate a future scene ponding distribution map; based on the historical scene ponding distribution diagram and the future scene ponding distribution diagram, constructing a drainage layout optimization first model; and solving the drainage layout optimization first model to output an optimal design scheme. According to the method, historical scene ponding simulation and future scene ponding simulation are realized by fusing the historical rainfall data and the future predicted rainfall data, so that future climate changes are coped, capacity expansion requirements are planned in advance, later reworking is avoided, and a feasible technical scheme is provided for rainfall flood management of a sponge city.

The invention discloses an urban design parameter optimization method and system based on high-resolution thermal environment rapid prediction, and the method comprises the steps: designing a plurality of simulation scenes according to the infrastructure form of a target region, carrying out the CFD simulation, constructing an original high-dimensional data set matrix, and then projecting the original high-dimensional data set matrix to a low-dimensional space, obtaining a dimensionality-reduced low-dimensional feature data set matrix, using the dimensionality-reduced low-dimensional feature data set matrix for prediction training of a radial basis function neural network model, and predicting a new design scene of a target area by the trained model to obtain a predicted value of a low-dimensional new principal component score; and restoring a complete high-resolution temperature field and wind speed field spatial distribution diagram in a new design scene through dimension raising reconstruction, and finally constructing a comprehensive evaluation index system by combining the average temperature, the wind speed and the construction and maintenance cost, thereby recommending an optimal city design parameter scheme. The urban thermal environment prediction efficiency and precision are improved, and the urban design scheme can be optimized according to the prediction result.

The invention discloses a multi-source spatial data processing method and system for urban design, and relates to the field of urban design. The method comprises the following steps: collecting multi-source spatial data of a city target area in real time; judging whether abnormal first multi-source spatial data exists in the multi-source spatial data or not; if yes, correcting the first multi-source space data, calculating a first confidence coefficient of the multi-source space correction data obtained by correction, and providing planning decision risk early warning and suggestions for the urban target area according to the multi-source space correction data and the first confidence coefficient; or calculating a second confidence coefficient of the first multi-source spatial data, and providing planning decision risk early warning and suggestion for the urban target area according to the first multi-source spatial data and the second confidence coefficient. According to the method, the abnormal condition of the multi-source spatial data in urban design can be effectively identified and processed, more accurate risk early warning and suggestions are provided for urban planning decision by correcting the abnormal data or evaluating the confidence of the abnormal data, and decision deviation caused by data distortion is avoided.

This invention discloses a spatial constraint verification method, system, device, and medium based on a knowledge graph. The method includes: segmenting multimodal data related to urban design specifications to obtain several information blocks; extracting information from the specification text and spatial constraint diagrams of the information blocks according to a structured constraint data structure to obtain structured constraint units of the information blocks; performing spatial predicate template matching on the structured constraint units through a template mapping table, and generating corresponding spatial predicate instances based on the matched spatial predicate templates; constructing a two-layer knowledge graph based on the structured constraint units and spatial predicate instances, and performing spatial constraint verification on the input three-dimensional model data through the two-layer knowledge graph to obtain the verification result. This invention can realize unified modeling and cross-modal association reasoning based on specification text and diagram rule constraint information, improving the automation level of structured management of specification knowledge in the field of urban design, and enhancing the efficiency and accuracy of compliance review.

This invention relates to the technical field of artificial intelligence and urban design, and in particular to an intelligent evaluation method and system for community fitness spaces based on artificial intelligence algorithms. The method includes the following steps: acquiring three-dimensional spatial data, constructing a multivariate dataset, and establishing a three-dimensional model of the fitness space; identifying and disassembling digital assets of the fitness space; restructuring the fitness space assets; and training a benchmark evaluation model for the fitness space; and constructing an intelligent evaluation model for the fitness space. This invention proposes an intelligent evaluation method and system for community fitness spaces using artificial intelligence algorithms in spatial quality assessment. It provides an innovative research framework for the scientific planning and optimized layout of community fitness space construction. This invention is applicable to the quality evaluation of fitness spaces during the design phase, allowing for pre-assessment of spatial quality. Based on the assessment results, targeted design measures can be implemented, reducing subsequent maintenance costs.

The application discloses a city rainstorm waterlogging rapid simulation method based on a deep convolutional neural network, relates to the city waterlogging management field, and solves the problem of inaccurate judgment of the city waterlogging prevention capacity caused by the fact that the city waterlogging prevention capacity is usually obtained according to the city water supply and drainage capacity and historical peak rainfall conditions. The method comprises the following steps: setting a corresponding catchment area of a target city according to a city design map, dividing a catchment grid of the corresponding catchment area based on the catchment area division; constructing a height-area curve of the corresponding catchment area according to the catchment grid, constructing an overflow model corresponding to the catchment area based on the height-area curve, and improving the overflow model; simulating and identifying the result by using the improved overflow model, then comparing the result with a historical actual value, and judging the precision of the improved overflow model; obtaining real-time rainfall data and importing the real-time rainfall data into the improved overflow model, and obtaining the simulated flooding conditions of different catchment grids in the target city. The application realizes accurate simulation of city rainstorm waterlogging.

The invention discloses an urban high-intensity development district identification and utilization efficiency detection method based on grid growth, and the method comprises the steps: obtaining urban development data, and carrying out the grid processing of the urban development data; according to the gridded city development data, utilizing a city development district identification method to identify city development districts meeting conditions; based on a district development intensity stability index, a district geometric morphology rationality index and a district spatial relationship independence index, detecting a city development district identification result, and based on a single use efficiency index or a comprehensive use efficiency index, performing use efficiency detection; and outputting identification and use efficiency detection results of the city development districts. According to the method, the high-intensity development district and the use efficiency thereof are accurately identified, a scientific basis can be provided for urban density zoning control, updating unit delimitation and public resource reconfiguration, and refined urban design optimization and governance decision are supported.

The present disclosure discloses an apparatus and method for real-time web-based urban flood simulation. An apparatus for urban flood simulation according to the present disclosure includes a hardware processor and a storage unit connected to the processor to store a digital elevation model of a city, city design information and precipitation information, and at least one computer program configured to perform the method for urban flood simulation. The method for urban flood simulation includes (a) generating simulation zone information and water flow information using the digital elevation model of the city and the city design information, (b) generating flood-related information using the simulation zone information, the water flow information, and the precipitation information, and (c) visualizing and displaying the flood-related information.

This invention discloses a multi-objective optimization-based method and system for sponge city planning and design, relating to the field of urban design optimization technology. The multi-objective optimization-based sponge city planning and design optimization system includes a sponge city planning and design module and a sponge city planning optimization module. This invention analyzes historical video and sensor data to extract the average density of water mist impact and the visibility attenuation rate, incorporating visual safety into planning indicators. This helps sponge facilities reduce road surface water mist, ensures driving visibility under special weather conditions, expands the functions of sponge cities, and improves traffic safety. By constructing an urban driving safety topology map, it identifies high-risk areas affected by water mist, achieving precise matching of construction resources and infiltration performance, and improving the construction efficiency of sponge cities.

The present invention: relates to a sensible heat flux analysis method using a computational fluid dynamics model that may simulate and analyze a high-resolution sensible heat flux by considering building and land cover characteristics of an urban area, and a sensible heat flux analysis system using same; may simulate and analyze a high-resolution sensible heat flux by considering building and land cover characteristics of an urban area; may calculate a high-resolution sensible heat flux by using the computational fluid dynamics model and local data assimilation and prediction system data, urban canopy model data comprising vegetation, a digital topographic map, and a land cover map; and may provide a sensible heat flux analysis result which may be used as a basis for the determination of urban design and environmental policies in a target area.

The application provides a low-altitude take-off and landing facility node wind-thermal environment simulation method based on a TOD mode, relates to the field of smart city design, and specifically comprises the following steps: constructing an initial planning scheme digital model of a target TOD area; performing wind-thermal environment numerical simulation on the initial planning scheme digital model in a typical day and a typical season by using a CFD model; based on the wind-thermal environment numerical simulation result, evaluating the low-altitude operation safety and the ground pedestrian comfort under the initial planning scheme digital model; feeding back the evaluated low-altitude operation safety and ground pedestrian comfort results to the CFD model for iterative simulation and verification until all preset safety and comfort thresholds are met. The technical scheme of the application overcomes the problem in the prior art that in TOD city scale area development, the ground human living environment and the low-altitude operation environment are mutually restricted, and the ground comfort and the low-altitude safety cannot be unified in the same quantitative analysis framework.

The invention provides an environment-friendly greening landscape building for urban design. The environment-friendly greening landscape building structurally comprises connecting steel bars, parallel plates, solar modules, lamp posts and greening structures, the connecting steel bars are installed at the lower ends of the parallel plates, the positions of the lamp posts are determined through the solar modules on the edges of the upper layers of the parallel plates, and the upper layers of the parallel plates are in spacing fit with the middle greening structures; after the parallel plates are installed on the top of the low floor through the connecting steel bars, the solar modules are used for providing electric energy support for the lamp post and the greening structure, so that the greening attractiveness of the top of the low floor can be improved, illumination is conducted on a city at night, natural resources are reasonably utilized, and the environment is protected. And then, the permeation plate of the greening structure can enable daily rainfall to stably enter the storage box to provide water molecules for the planting pot, so that the natural resource utilization rationalization effect can be further improved, and the landscape building is more suitable for the characteristics of environmental protection and greening.

The invention discloses a city design scheme-oriented activity space isolation evaluation and prediction method and system, and a computer readable storage medium. The method comprises the following steps: fusing and preprocessing multi-source data; individual activity space reconstruction and attribute labeling: reconstructing an activity space for each anonymous user from the preprocessed data, and labeling a social economic attribute agent for the anonymous user; performing activity space isolation quantitative calculation; space-time panel data is generated, calculation results of the individual level are aggregated, and final output capable of being used for macroscopic analysis and dynamic monitoring is generated; and urban design scheme isolation influence prediction. According to the method, a new data processing and modeling framework is established, so that the problem of one-sidedness of an evaluation result caused by limitation to static analysis is solved, and the technical problem that quantitative evaluation cannot be carried out on a future city design scheme is fundamentally solved. According to the method, complete, scientific and reliable technical support is provided for analysis, optimization and prospective planning and design of the urban space structure.

The application provides a kind of urban design generation auxiliary method and device, including the following steps: step S1, the existing design scheme generation original image-planning image pair of specified designer is collected;Step S2, the multiple urban design form parameters of regional planning image are calculated, and the classification result is obtained by classifying regional original image;Step S3, clustering is carried out according to urban design form parameters and classification result, and multiple design style preferences are obtained;Step S4, the training data set of each design style preference is constructed;Step S5, style design model is obtained by training according to training data set;Step S6, the optimal design style preference is selected;Step S7, the image of the region to be planned is input into the style design model corresponding to the optimal design style preference to obtain the initial design drawing;Step S8, auxiliary design drawing is obtained by multi-objective optimization on the initial design drawing.In short, the method can generate regional planning design drawing with specified designer style preference.