75 results about "Urban design" patented technology

The invention belongs to the crossing field of computer vision and city design, and provides a multi-mode cooperative driving DiT city layout generation method, so as to solve the defects of an existing generation model in the aspects of spatial rationality and planning controllability. According to the method, a transformer-based diffusion generation model is innovatively constructed, and two additional control signals are integrated in a DiT model to realize controlled generation. On the aspect of model architecture design, a DiT framework with multi-modal condition fusion is constructed, and a road network sketch (image control) and planning semantics (text control) dual guide mechanism is integrated. In the text mode, a dynamic semantic fusion module based on a pre-training language model is designed, and text information is deeply embedded into the generation process. In the aspect of image control, a mixed attention regulation and control mechanism is put forward, multi-scale fusion of road network structural features is realized in combination with cross attention and AdaLN technologies, and the problem of spatial layout distortion is solved. Experiments show that the method can effectively integrate text and image information, and the generated city layout image is superior to that generated by an existing method.

The invention discloses a city function composition ratio interactive generation method based on a special large language model. The method comprises the following steps: collecting city design text case data; screening out corpus data corresponding to the planning region and the partition type of the design site; performing semantic analysis and processing on the associated background information of the design site by using a natural language processing technology, and converting the associated background information into cues related to a function ratio decision to serve as a sample set; pre-training a large language model by using LLama-7B, and sending a preliminary generation result of the pre-trained model to a user; retraining the large language model generated by the city function composition proportion to form a special large language model; and the city function composition ratio is output to an interactive operation platform, and city functions are visualized and can be subjected to interactive modification. The problems that multiple influence factors such as population, economic development and resource and environment conditions are difficult to balance and time and labor are consumed by a traditional urban function composition ratio are solved.

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 invention discloses an urban rainstorm waterlogging rapid simulation method based on a deep convolutional neural network, relates to the field of urban waterlogging management, and solves the problem that the judgment of the urban waterlogging prevention capability is inaccurate due to the fact that the current urban waterlogging prevention capability is generally obtained according to the urban water supply and drainage capability and the historical peak rainfall condition. The method comprises the steps that a catchment area corresponding to a target city is set according to a city design drawing, and catchment grids corresponding to the catchment area are divided based on the catchment area; a height-area curve corresponding to the catchment area is constructed according to the catchment grid, and an overflow model corresponding to the catchment area is constructed based on the height-area curve and improved; the result is simulated and recognized through the improved overflow model, then the result is compared with a historical actual value, and the precision condition of the improved overflow model is judged; real-time rainfall data is obtained and imported into the improved overflow model, the simulated submerging conditions of different catchment grids in the target city are obtained, and accurate simulation of urban rainstorm waterlogging is achieved.

The invention relates to the technical field of traffic planning, in particular to a road congestion shunting system suitable for urban design, which comprises a node congestion identification module, a signal time sequence adjustment module, a path interference screening module, a signal priority ordering module and a linkage time period correction module. According to the method, a multi-direction traffic pressure concentration area is formed through path overlapping structure identification, an association boundary of a path group and a node state is opened, a green light starting time sequence is adjusted in combination with a column head static continuous behavior, a vehicle response and period synchronization relation is reconstructed, and structural proximity judgment is introduced in path conflict screening. High-interference paragraphs are identified by utilizing the correlation degree of guidance, speed and lane parameters, a node sorting mechanism dynamically generates priorities through the consistency of a frequent path and a queuing trend, real-time refreshing of a signal response sequence is realized, linkage rhythm correction is bidirectionally verified according to release delay and an adjacent node blocking state, a starting segment is dynamically adjusted, and the linkage rhythm is corrected. Chained dislocation is avoided.

The invention discloses an old block three-dimensional form intelligent updating optimization method based on rigid-flexible rule driving. The method comprises the steps of collecting vector data of a target old block and design specifications and standard text data of a city where the target old block is located; establishing a rule map of urban design rigid industry specification requirements; a Mask R-CNN coding technology is used to automatically label vector data of a space structure, a function layout, a road system and a blue-green system of the design, a knowledge graph of a classic city design result rule is formed, and a rule graph oriented by city design flexible professional knowledge is established; establishing multi-layer network association of an old block three-dimensional morphological graph network, a rigid rule graph and a flexible knowledge graph; and outputting the optimized three-dimensional form scheme of the target old block to a space holographic sand table, and finally outputting an optimized three-dimensional form graph network and a visualization scheme of the old block. According to the method, the three-dimensional form of the old block can be optimized based on rigid rule and flexible knowledge hybrid driving.

The present invention provides a sponge city design method and system, relating to the field of sponge city data processing technology. The method comprises obtaining information; simulating the waterlogging situation in the urban area using an agent-based model based on the information to obtain a waterlogging distribution map; constructing a graphical model based on the drainage system data; and constructing a drainage pipeline layout optimization model based on the graphical model and the waterlogging distribution map. The drainage pipeline layout optimization model includes an objective function and constraints, the objective function including minimizing the sum of the construction cost of the drainage pipeline and a penalty for insufficient drainage capacity. The constraints include flow balance constraints at the drainage points, capacity constraints of the drainage pipelines, drainage capacity constraints in the flood-prone areas, and drainage capacity constraints in the drainage bottleneck areas. The method then solves the drainage pipeline layout optimization model based on hypergeometric distribution sampling. The present invention takes into account the differences between different urban areas and significantly improves the design results of sponge cities.

The invention discloses a city form iteration generation system and method based on high-frequency interaction space self-learning, and the system comprises a first data collection module which is used for obtaining a target city space form three-dimensional vector model in a current state; the second data acquisition module is used for constructing a case city spatial form three-dimensional vector model database; the graph network module is used for constructing associated network data of the target city spatial form three-dimensional vector model and an associated network database of the case city spatial form three-dimensional vector model database; a multi-target high-frequency iteration module; and a feasibility scheme extraction and display module. According to the method, multi-target-oriented generation iteration of the urban spatial form is realized, high-frequency interactive self-learning of urban spatial form scheme generation is realized, the rationality of the urban spatial form scheme is improved, and the problems of high manpower and material resource investment, human brain judgment, high randomness and small scale in the traditional urban design are avoided.

The invention relates to the technical field of three-dimensional rendering, in particular to a digital city design city model visual display system which comprises a purpose calibration module, a component combination module, a path guide module, a view angle scheduling module and a rendering display module. According to the method, more accurate visual representation of urban model space purposes is realized by optimizing purpose calibration in the urban space and careful processing of geographic information, more reasonable space utilization distribution and visual display are realized by dynamically adjusting anchor points of the purpose space, more intelligent decision making in urban planning and building design is supported, and the method has the advantages of being high in practicability and easy to popularize. By extracting and combining building components with different functions, the functional semantic expression of the model is further enhanced, the information value and practicability of the model are enhanced, the interactivity and educational significance of the model are enhanced, and the model is more vivid visually and can reflect the appearance of a real city more accurately due to the improvement of rendering display. And the display quality and attraction of the model are improved.

The invention relates to the field of urban rainwater management, and discloses a rainwater collection method based on urban design, and a rainwater collection system used by the method comprises a collection cylinder buried in a soil body and used for collecting rainwater; the primary filter plate is used for filtering large impurities; the secondary filter cover is used for further filtering the rainwater; the annular collecting tank is used for collecting impurities filtered by the secondary filtering cover; the first cleaning assembly is used for cleaning the annular collecting tank; the height of the floating plate is influenced by the height of the liquid level in the collecting cylinder, and an overflow port is formed in one side of the collecting cylinder and used for controlling the highest height of the floating plate; and the linkage assembly is used for driving the cleaning assembly to perform cleaning and impurity removal actions when the height of the floating plate changes. According to the urban rainwater collection method, the rainwater collection efficiency and water quality management can be remarkably improved, and meanwhile the maintenance requirement is greatly reduced through an automatic cleaning mechanism.

The invention provides a sponge city design method and system, and relates to the technical field of sponge city data processing, and the method comprises the steps: obtaining information; according to the information, simulating the waterlogging condition of the urban area through an agent-based model to obtain a ponding distribution map; constructing a graph model according to the drainage system data; according to the graph model and the ponding distribution graph, a drainage pipeline layout optimization model is constructed, the drainage pipeline layout optimization model comprises a target function and constraint conditions, and the target function includes minimizing the sum of the construction cost of the drainage pipeline and the penalty value of insufficient drainage capacity; the constraint conditions comprise the flow balance constraint of the drainage point, the capacity constraint of the drainage pipeline, the drainage capacity constraint of the area prone to waterlogging and the drainage capacity constraint of the drainage bottleneck area; and solving the drainage pipeline layout optimization model based on hypergeometric distribution sampling. According to the method, differences of different areas of the city are considered, and the design effect of the sponge city is greatly improved.

The invention discloses a city design noise optimization method and system based on artificial intelligence, and the method comprises the steps: carrying out the preprocessing of building form and noise measurement data, and constructing a basic data set after noise simulation verification; a three-dimensional city model and a measuring point network are generated through a layered parameterization framework, the structural noise level is calculated, real-time verification is carried out in combination with planning constraints, and a structural design space, noise basic data and feasibility guarantee are provided; a two-stage multi-layer perceptron network is constructed, local building group acoustic influence and a global city noise mode are processed respectively, and high-precision noise prediction is achieved through training; and deploying a large language model as an optimization agent, and outputting an optimal scheme through multiple rounds of iterative optimization and evaluation. Compared with the prior art, the method has the advantages that the noise prediction precision is effectively improved, a structured design space is provided for parametric modeling, the feasibility is guaranteed through real-time verification, efficient iteration is achieved through large language model optimization, and compared with a traditional method, the efficiency is remarkably improved, and the labor cost is reduced.

The invention provides a building interface style migration and optimization method based on multi-machine learning model coupling. According to the method, a building interface style migration model is constructed based on various machine learning technologies, so that different building style characteristics and a mapping relation thereof are obtained. Based on a de-noising diffusion probability model and a cyclic generative adversarial network, high-quality style migration among different architectural styles is realized, the stability and detail quality of an architectural interface design scheme are optimized through a neural network, and a multi-objective optimization method is combined to generate an architectural interface layout scheme meeting urban design requirements. Compared with the prior art, the method has remarkable advantages in the aspects of building interface style migration precision, generation scheme adaptability and optimization design efficiency. Meanwhile, due to the reversibility of the design process, the generation result of the scheme can be returned to any step at any time to be optimized until the generated image meets the construction design requirement.

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.

To easily determine an appropriate position of a traffic base and an appropriate position of a point where a service is provided so as to allow a user to easily use various services at various points.SOLUTION: A storage unit stores a current state graph which represents the current state created in a form of a state graph including a node representing a point, a point function available at the point or a movement method between the points, and edges linking the multiple nodes with a strong relationship in terms of usage. A processing unit acquires a concept graph including a departure point node, a destination point node, and a point function node, supplements the acquired concept graph with a supplemental node, generates an ideal state graph including an additional node representing point functions or movement methods that do not currently exist, and representing such a state that a person existing at the departure point moves to the destination point and can use the point function at the destination point, calculates a difference between the ideal state graph and the current state graph as additional element information and outputs it.SELECTED DRAWING: Figure 1

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 invention discloses an urban carbon emission estimation method and device based on a VCA prediction spatial form and a medium. The method comprises the following steps: acquiring urban three-dimensional space driving factor data, and constructing a spatio-temporal data set; constructing a deep learning network, inputting the spatio-temporal data set into the deep learning network, and extracting spatio-temporal neighborhood features of the urban three-dimensional space driving factor data; according to the extracted space-time neighborhood features, predicting urban spatial form data by adopting a coupling model of an artificial neural network and a cellular automaton; and estimating urban carbon emission according to the urban spatial form data. According to the method, an innovative planning and design support tool is provided for low-carbon city planning and design, city arrangement carbon emission is controlled through related carbon emission reduction technical indexes, meanwhile, spatial distribution and time sequence distribution of the city carbon emission are output, a designer can conveniently optimize the city spatial form in the city design stage, and the design efficiency is improved. And the scientificity and the implementability of urban planning are obviously improved.

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 application relates to the technical field of grass-roots scheme generation, and discloses a parameterized rule-based urban design grass-roots scheme generation method and platform, which comprises the following steps: classifying and prototype extracting control regulation land blocks and corresponding building prototypes to obtain land blocks and building parameter rules of the same land property based on a control regulation land layout scheme; designing grass-roots scheme generation rules; the grass-roots scheme generation rules are used to form the grass-roots scheme in the order of control regulation land block-splitting land block-building block-concrete elements, and the land block-splitting rule, the building combination form rule, the building form prototype rule and the land block index accounting rule are met in the process of forming the grass-roots scheme; inputting the related parameters of the land block to be generated into the urban design grass-roots scheme, combining the grass-roots scheme generation rules to generate the corresponding urban design grass-roots scheme and performing index accounting on the generated urban design grass-roots scheme. The application further improves the efficiency and rationality of urban design scheme deduction.

The present invention relates to a method, computing device, and storage medium for measuring the morphological characteristics of high-density, three-dimensional, and composite cities. The method comprises: defining a three-dimensional identification boundary and obtaining original map data; screening and processing the original map data to perform three-dimensional modeling within the identification boundary; calculating three-dimensional characteristic measurement indicators; selecting a three-dimensional base surface coverage rate and a three-dimensional base surface volume ratio to construct a coordinate system, and dividing the sample indicators into hierarchical levels according to their distribution characteristics; employing a hierarchical clustering algorithm and continuously iterating until all data are merged into a single category; storing the data, establishing a three-dimensional city database, and maintaining data updates. The present invention addresses the morphological characteristics of three-dimensional composite urban development during high-density urban renewal, resolving the problems of prior art in accurately expressing three-dimensional urban morphology and effectively quantifying and analyzing three-dimensional urban morphology during urban design.

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 invention relates to the technical field of artificial intelligence and city design, in particular to a community national fitness space intelligent evaluation method and system based on an artificial intelligence algorithm, and the method comprises the following steps: obtaining three-dimensional space data, constructing a multivariate data set, and building a national fitness space three-dimensional model; identifying and disassembling national fitness space digital assets; recombining national fitness space assets, and training a national fitness space reference evaluation model; and constructing a national fitness space intelligent evaluation model. The invention provides a community nationwide fitness space intelligent evaluation method and system in the aspect of space quality evaluation by using an artificial intelligence algorithm. An innovative research framework is provided for scientific planning and optimized layout of community nationwide fitness space construction, the method can be suitable for nationwide fitness space quality evaluation in the design stage, space quality evaluation is preposed, design response can be conducted in a targeted mode according to the evaluation condition of the space quality, and the later space maintenance cost is reduced.

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

The present invention discloses an automatic urban morphology measurement method based on a spatial entropy fourth-order matrix model, which relates to the field of urban design technology. The method performs fourth-order matrix modeling based on the relative morphological information of the target building and surrounding buildings, and then classifies the buildings according to the clustering algorithm of the fourth-order matrix. The city is partitioned according to the spatial entropy value measurement, thereby identifying problematic buildings and urban areas. The present invention can meet the work needs of large-scale urban renewal and automatically generate a morphological transformation plan specific to each building. It has the characteristics of large scale and high precision, thereby improving the work efficiency of urban renewal.

The present invention discloses an artificial intelligence (AI)-based urban design multi-plan generation method for a regulatory plot. The method includes operation steps performed by the following modules: (1) plot space calculation sand table module; (2) regulatory characteristic parameter input module; (3) characteristic case intelligent learning module; (4) plot road intelligent generation module; (5) plot landscape intelligent generation module; (6) plot architecture intelligent generation module; and (7) outputted plan auxiliary drawing module. By means of the AI-based urban design multi-plan generation method for a regulatory plot of the present invention, the planners realize real-time, accurate, and efficient feedback adjustment to a plurality of urban design plans under regulatory conditions, resolving a plurality of problems such as a long working period of a conventional design plan.

The invention relates to the technical field of scene simulation, in particular to a city design scene simulation system and method based on man-machine interaction, and the system comprises an interaction influence analysis module, a region priority analysis module, a simulation precision adjustment module, a thread task scheduling module and a scene simulation updating module. According to the method and the device, the interaction behavior data of the user is acquired and analyzed, the region priority is calculated according to the task density of the region, and the simulation precision is adjusted, so that the execution of the simulation task is more accurate and targeted, and the simulation task of the high interaction region is preferentially executed by dynamically optimizing thread scheduling; according to the method, computing resources and simulation precision can be ensured to be more intensively applied to an area which has greater influence on decision making, the operation efficiency and response speed of a simulation system are improved, details of a high-interaction area are more accurately presented through generation and task scheduling of a precision adjustment area list, and the user experience is improved. And excessive computing resource consumption of unimportant areas is avoided.

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.