67 results about "Urban model" patented technology

The invention relates to the field of 3D modeling, and particularly discloses a smart city 3D model construction method and system, and the method comprises the steps: carrying out the feature extraction of three-dimensional point cloud data of a to-be-modeled city region through employing a deep learning-based data processing technology, capturing the three-dimensional structure semantic features of the city region, and carrying out the feature extraction of the three-dimensional point cloud data of the to-be-modeled city region; meanwhile, in combination with natural language description about urban area characteristics input by a user, characteristic modulation optimization processing is carried out on the three-dimensional structure of the urban area, the detail expression of the three-dimensional model is further optimized, and therefore intelligent construction of the urban area three-dimensional model is achieved. Through the mode, the geometric information of the urban area and the urban characteristic language description information can be effectively integrated, so that the generated urban area three-dimensional model can reflect the urban internal structure and functional layout more accurately, and the application value of the model in urban planning and management is improved.

The invention relates to a three-dimensional live-action model generation method for city updating. The method comprises the following steps: collecting multi-source city image information, and obtaining semantic data according to the multi-source city image information; performing city modeling visualization according to the multi-source city image information to generate a city model; and matching the semantic data with the city model to obtain a three-dimensional real scene model containing the semantic data. According to the method, city information can be obtained more comprehensively by performing total factor accurate collection through a multi-source three-dimensional monitoring technology, the accuracy of a real scene model is improved, semantic data is matched with a city model, a three-dimensional real scene model containing the semantic data is obtained, multiple materials and textures of the model are combined, and the accuracy of the real scene model is improved. And the model is lightened, so that the purpose of reducing the resource loading time is achieved.

The invention discloses an unmanned aerial vehicle path planning method and device considering urban wind field factors. The method comprises the steps that building and unmanned aerial vehicle airport data are acquired, and a three-dimensional urban model and a rasterized airspace model are constructed; constructing a multi-rotor unmanned aerial vehicle energy consumption model; acquiring dominant wind data and performing CFD urban wind field simulation; dividing a super wind speed area and a turbulent flow area as flight risk areas; constructing an unmanned aerial vehicle path planning model considering the influence of the urban wind field; planning the path of the unmanned aerial vehicle in the wind field. According to the method, risk area division is carried out based on CFD simulation, the wind speed and turbulent kinetic energy spatial distribution can be captured, the method adapts to the wind resistance of the unmanned aerial vehicle and turbulent area flight limitation, the energy consumption can be reduced by utilizing a wind field, the capability of improving the energy efficiency is achieved, and a uniform path planning model with safety and energy efficiency as targets in the wind field is constructed.

The invention provides a digital twin city construction and operation optimization method based on cloud computing and a big data technology. The method comprises the following steps: optimizing layout of various sensor devices through a particle swarm optimization algorithm and an adaptive sampling algorithm, and adjusting acquisition frequency; establishing a distributed database, and realizing uniform distribution and efficient access of data in the distributed database through a load balancing algorithm; mining a time rule of urban operation by using a time sequence model, and discovering association between different data; a city model is constructed by using a city three-dimensional live-action fusion modeling method which takes unmanned aerial vehicle oblique photography as a main part and takes ground laser radar as an auxiliary part, different areas in a city are identified by applying a machine learning method, and a refined model of each field of the city is constructed; real-time simulation of a city operation state is realized through virtual reality and augmented reality technologies; the system is continuously optimized by using an online learning algorithm, so that the system continuously learns and adapts to a new data mode in the operation process, and the construction and operation optimization capability of the system is improved.

The invention provides a drainage connection intelligent site selection system based on GIS and CIM meta universe virtual space, and aims to realize intelligent site selection and optimal management of connection points of an urban drainage pipe network through an advanced geographic information system and an urban information model technology. Comprising a model construction module, a drainage pipe network generation module, a model optimization module, a model adjustment module, an address confirmation module, a governance module and an interaction module, a city model and a drainage pipe network model are optimized and dynamically adjusted according to actual city construction, and drainage pipe network connection address information conforms to current city construction; the drainage pipe network connection address information is automatically generated by adopting an algorithm according to the city model and the drainage pipe network model, high scientificity is achieved, the city model and the drainage pipe network model can be dynamically adjusted according to the real-time city construction data, the problem that existing drainage pipe network connection address selection is lack of scientificity and systematicness is solved, and the service life of the drainage pipe network is prolonged. And powerful technical support is provided for planning and management of an urban drainage system.

The invention provides a low-altitude Internet of Things design simulation system based on an urban CIM model, relates to the field of low-altitude flight, and solves the technical problem that the deviation between path planning and actual operation is large due to the fact that an existing simulation system cannot effectively support dynamic migration of a service function chain. The method comprises the following steps: constructing a city three-dimensional model through a CIM technology, and carrying out grid division on the city three-dimensional model; acquiring environment information; acquiring a grid basic safety risk index of the urban three-dimensional model based on the environment information; the method comprises the following steps: collecting low-altitude internet-of-things sensing data through a plurality of sensors, and preprocessing the low-altitude internet-of-things sensing data; constructing a risk model algorithm based on the grid basic security risk index and the low-altitude internet-of-things perception data; obtaining a comprehensive risk index of each grid through a risk model algorithm; and if the comprehensive risk index is greater than a preset risk threshold, sending a risk airspace early warning signal of the corresponding grid. The method is used in the low-altitude Internet of Things design simulation process.

The invention relates to the technical field of data processing, in particular to an urban area model digitization method and system based on multi-source heterogeneous information arrangement, and the method comprises the steps: collecting various types of data of various moments of various collection points in various fields in an urban area; forming a feature vector of each moment by all types of data of each moment of each acquisition point in each field; determining an initial abnormal value of the feature vector of each collection point in each field at the current moment; obtaining the reference reliability of the feature vectors of any acquisition point and other acquisition points at the current moment in each field; obtaining a first abnormal value of the feature vector of each collection point in each field at the current moment; determining a second abnormal value of the feature vector of each collection point in each field at the current moment; and correcting the initial abnormal value, obtaining a processing result of all types of data at the current moment of each acquisition point in each field, and performing digitalization. Therefore, the digitalization precision of the urban model is improved.

The invention discloses a construction method and device of a city three-dimensional model and a storage medium, and relates to the technical field of model construction, and the construction method comprises the steps: obtaining building point cloud and preset processing parameters of a city; determining a normal direction of each point cloud data in the building point cloud based on the neighborhood radius; dividing the point cloud data in the building point cloud into vertical point clouds and non-vertical point clouds based on the normal direction, determining a plurality of first plane areas corresponding to the vertical point clouds, and determining building footprint information based on the projection of the non-vertical point clouds in the first plane areas; building contour information is generated based on the height of the non-vertical point cloud projected in the first plane area; and filtering the point cloud data, dividing the filtered point cloud into a wall point cloud and a roof point cloud, and performing space division on the three-dimensional space based on the wall point cloud and the roof point cloud to obtain building surface information. According to the invention, the accuracy of the urban three-dimensional model can be improved.

The invention provides an urban multi-modal large model training method, device and equipment and a medium, and relates to the technical field of artificial intelligence. Constructing an image-text interlaced data set according to the satellite image description text corresponding to each satellite image and the streetscape image description text corresponding to each streetscape image; and training the city multi-modal large model based on the image-text interlaced data set, and adjusting perceptron parameters corresponding to the perceptron in the city multi-modal large model and large language model parameters corresponding to the large language model to obtain a trained target city multi-modal large model. According to the technical scheme, the problems that in the prior art, a training data source is single, and images and texts are independently processed are solved, the trained target city multi-mode large model has good understanding on the city environment, and the space structure and function characteristics of a city can be comprehensively captured.

The invention provides an urban ponding area early warning method and system based on a GIS model, and belongs to the technical field of rainwater pipe network management. The method comprises the steps that S1, urban model data, rainwater pipe network data and historical weather data are acquired; s2, performing three-dimensional modeling on the city model data and the rainwater pipe network data to obtain a city three-dimensional model, and loading the city three-dimensional model on a GIS model; s3, creating a ponding diffusion model based on the SWMM technology and the urban three-dimensional model, and optimizing the ponding diffusion model by using historical weather data; s4, acquiring weather forecast data, inputting the weather forecast data into the ponding diffusion model to obtain ponding diffusion prediction data, and dynamically simulating the ponding diffusion prediction data on the urban three-dimensional model of the GIS model; and S5, generating a ponding early warning report based on the ponding diffusion prediction data and the rainwater pipe network data, and carrying out early warning. The system has the advantages that the operation reliability and the management safety of the rainwater pipe network are greatly improved.

The invention discloses a three-dimensional city scene construction method, and relates to the technical field of three-dimensional scene generation, and discloses a three-dimensional city scene construction method, which comprises the following steps: in response to a scene assembly instruction, displaying a basic city model resource library on a scene assembly interface, and initializing and loading a scene model according to received model resources; generating a basic scene framework according to a scene theme and an area range parameter contained in the scene assembly instruction; obtaining a semantic tag of the scene model, and determining a spatial layout requirement of the scene model based on the semantic tag; and according to the spatial layout requirement, automatically arranging the scene model into the basic scene framework, and constructing a three-dimensional city scene. According to the method, the spatial layout requirements of the models are determined through the semantic tags, so that the splicing reasonability of the scene models is ensured, and the three-dimensional city scene meeting the planning requirements is accurately constructed.

The invention discloses a CIM model-based forest and grass carbon sink analysis method in a project development area. The method comprises the steps of 1, inputting original landform information of a city model in the project development area into a CIM platform; 2, inputting a project model to be developed into the CIM platform; 3, supplementing model information; 4, vegetation information in the original landform information is analyzed and collected; 5, calculating forest grass vegetation carbon sink efficiency in the original landform information; 6, simulating and analyzing the change condition of forest grass vegetation and the change condition of carbon sink in the project construction stage through a CIM platform; 7, simulating and analyzing the vegetation reconstruction condition after the project is built through a CIM platform; 8, calculating forest and grass vegetation reconstruction carbon sink efficiency through a CIM platform; and 9, evaluating the carbon sink influence in the project development period. The invention relates to the technical field of building engineering, and can solve the problem that the building design carbon sink analysis decision-making capability is reduced due to inconvenient acquisition of carbon sink calculation data in the prior art.

The invention provides an urban inland inundation simulation method and a risk early-warning risk-avoiding system based on coupling of a one-dimensional model and a two-dimensional model. The method comprises the following steps: performing one-dimensional and two-dimensional hydrodynamic simulation on urban inland inundation rainstorm and flood based on SWMM and OpenFOAM; establishing a water exchange interface between the first model and the second model, dynamically calculating exchange flow according to a water level relationship, and establishing and executing a two-dimensional model coupling mechanism; based on a coupling mechanism, running simulation and outputting data and results; building an urban model based on a Cesium platform, and inputting flood routing data obtained based on model coupling to realize visual simulation of urban inland inundation flood routing; a risk early-warning risk-avoiding system is built on the basis of a visual result and in combination with emergency management theoretical knowledge and comprises a waterlogging simulation module, an early-warning module, a risk zoning module and a risk-avoiding transfer module; risk area division of a target area is realized based on double factors of water depth and flow velocity, and a corresponding optimal risk avoiding route is planned based on a Dijkstra algorithm.

The invention relates to the technical field of city model construction, and discloses a smart city 3D model construction method and system, and the method comprises the steps: S1, enabling an unmanned aerial vehicle to fly over a city according to a preset flight path, dynamically calculating a proper flight height according to the height of a building and the pitch angle of a camera in the flight process, and automatically adjusting the flight height; the flight height is dynamically adjusted according to the building height and the camera pitch angle in the flight process of the unmanned aerial vehicle, and the coverage range and the resolution of image acquisition are ensured; in combination with the real-time analysis capability of the edge calculation module, data defects can be quickly identified and laser radar supplementary acquisition can be triggered, so that the data acquisition efficiency and integrity are remarkably improved; and finally, through multi-source data fusion and automatic modeling of the cloud processing platform, a high-precision and high-reality smart city 3D model is constructed, and a reliable three-dimensional digital basis is provided for city management and planning.

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 technical field of city planning, and provides a dynamic city model system based on scenario planning, a city data acquisition and integration module collects multi-dimensional data and provides a basis for land project evaluation, and a land project evaluation module covers sub-modules of location, matching, cost and financial index measurement and calculation and the like, comprehensively analyzes projects, and improves the evaluation efficiency. The real-time dynamic adjustment module can timely cope with planning change and adjust cost, the scenario planning module considers various scenario simulation project development, and the decision support and strategy making module comprehensively assesses a decision, so that a real estate company can fully consider uncertainty factors, comprehensively assess project investment value and risk, make a scientific decision, and improve the project quality. The method provides a comprehensive, scientific and dynamic tool for real estate companies, and is used for evaluating the investment potential and feasibility of a land project in different scenes, assisting in deciding whether to obtain a land or not and making a subsequent development strategy, ensuring that the project meets the requirements of urban planning and land utilization planning, and maximizing economic benefits.

The invention relates to the technical field of three-dimensional modeling and geographic information processing, and discloses a three-dimensional city model generation optimization method and system, and the method comprises the steps: obtaining a central city area three-dimensional data set of a target city; generating a second fusion data set of unified three-dimensional point cloud representation; based on the key feature point set, a random consistency verification mechanism is adopted to execute preliminary registration operation; and generating a high-precision three-dimensional city model. In the prior art, in a multi-source three-dimensional data fusion process, coordinate system offset and scale difference exist among an oblique photography image, LiDAR point cloud, BIM data and a topographic map, and especially under a large-scale central urban area modeling condition, high-precision and automatic unified alignment is difficult to realize. And dislocation of building boundaries or fracture of terrain curved surfaces are caused. Due to the fact that depth feature extraction and cross-source feature alignment are combined with random consistency verification, the space consistency and modeling reliability of the three-dimensional city model are improved.

The invention provides a drainage pipe network connection site selection method and system. The method comprises the following steps: constructing a city model; analyzing and confirming site selection factors; using the confirmed site selection factor to optimize the city model; obtaining connection operation information of the drainage pipe network in real time so as to dynamically adjust the city model; and confirming the connection address information of the drainage pipe network according to the city model. The city model is optimized and dynamically adjusted according to actual city construction, so that drainage pipe network connection address information confirmed by the root city model conforms to current city construction, and systematicness is achieved; besides, the connection address information of the drainage pipe network is automatically generated by utilizing the city model according to an algorithm, so that the method does not depend on artificial experience, has relatively high scientificity, and solves the problem that the existing connection address selection of the drainage pipe network is lack of scientificity and systematicness.

The present invention provides a fast ray tracing method and apparatus applicable to urban scene channel modeling. The steps of the method include: dividing regions in the top view plane of a three-dimensional urban model; each time a ray is emitted from an emission position, determining whether it enters a signal receiving point based on the emission position and emission direction of the ray; if the ray does not enter the signal receiving point, determining whether the ray intersects with the obstacle model in the region where the emission position is located after being emitted from the emission position based on the emission position and emission direction of the ray; if there is an intersection, obtaining the obstacle surface where the ray intersects with the obstacle model and emitting again; if there is no intersection, determining the region where the ray intersects based on the emission position and emission direction of the ray, obtaining the obstacle surface where the ray intersects with the obstacle model, and emitting again; if the ray enters the signal receiving point, obtaining the propagation paths of all the rays that enter the signal receiving point from the signal emission point to the signal receiving point.

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 discloses a path planning method based on a city engine and an unreal engine. The method comprises the following steps: completing basic data preparation, rule definition, model generation and visual presentation and analysis, and establishing a city model; secondly, constructing a vehicle motion model in an unreal engine, and simulating weather; the three-dimensional static model and a dynamic model in an unreal engine are fused to generate an urban environment; carrying out geographical gridding on the urban area; introducing a trafficability map and physical restrictions of the vehicle, and setting the trafficability map of the vehicle; an improved A * algorithm based on geographic gridding is introduced, path planning is conducted, the improved A * algorithm is used, and path optimization is achieved through a heuristic function and a penalty function; and outputting the generated path plan.

The invention discloses a three-dimensional city generation method and device based on a satellite image, equipment and a medium, and the method comprises the steps: obtaining a satellite image of a city, and extracting an instance segmentation map and a depth map, thereby constructing a three-dimensional volume structure; extracting texture features and geometric features based on the three-dimensional volume structure; according to the texture features and the geometric features, a preset diffusion model is adopted to generate image frames of a plurality of visual angles; wherein the diffusion model carries out inter-frame feature aggregation through inter-frame consistency attention, and different scale features are processed through hierarchical geometric perception attention; performing consistency evaluation based on the image frames of the plurality of visual angles to obtain a consistency score; and based on the three-dimensional volume structure, performing three-dimensional reconstruction according to the consistency score, and generating a three-dimensional city model. According to the method, the generation efficiency and quality of the city-scale 3D scene can be effectively improved, and the problem of multi-view consistency of the city-scale large scene is solved.

The invention discloses a city layout optimization simulation method, system and device for relieving a city heat island effect, and the method comprises the steps: S100: carrying out the grid division of a target city region, adding the city surface temperature data and city data to corresponding grid points, and obtaining a grid city model; s200, extracting average city surface temperature data and influence factor data of each grid point in the grid city model, and respectively constructing a surface temperature prediction model of each grid point by adopting a geographically weighted regression model; and S300, taking the average urban surface temperature data and the influence factor data of each grid point as a state space, taking each influence factor and the action type as an action space, performing reinforcement learning, and simulating an optimization scheme of the urban layout. According to the method, the optimal city layout simulation scheme capable of keeping city functions, controlling optimization cost and relieving a heat island effect can be automatically learned, so that scientific guidance is provided for city layout optimization.

The invention discloses a multi-dimensional image processing system based on high-resolution remote sensing data, and relates to the field of image processing technology. The system comprises an acquisition module, which is used to acquire a multi-dimensional remote sensing image of a city based on high-resolution remote sensing data; a construction module, which is connected to the acquisition module, and is used to perform feature enhancement on a plurality of unit remote sensing images to obtain a plurality of target remote sensing images; a stratification module, which is connected to the construction module, and is used to perform stratification on a city model based on preset conditions to obtain a plurality of city hierarchical models, and to acquire the correlation between the city hierarchical models; a marking module, which is connected to the stratification module; and a switching module, which is connected to the marking module. The invention has a good multi-dimensional image processing function, and is more convenient for personnel to assist in the subsequent planning and management of the city.

The present invention discloses a method for grading building detail levels, including obtaining a building to be graded; determining the classification label of the building: assigning a set of classification labels to the building, wherein the first classification label P is used to characterize the internal and external parts of the building, the second classification label C is used to characterize the geometric complexity of the building's features, the third classification label S is used to characterize the building's semantic information, and the fourth classification label D is used to characterize the dimension of the building model. A characterization matrix of the building is constructed based on the classification labels; and based on the characterization matrix, the classification labels and the corresponding buildings to be graded are associated to obtain the compiled names of the buildings to be graded. The present invention significantly improves the definition clarity and ease of operation of the building LOD in the three-dimensional city model, not only providing a clear LOD list for key stages such as data collection and acceptance, but also improving the communication efficiency and consistency of understanding of the building model.

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.

The present invention proposes a UAV resource management system and method based on urban CIM, which belongs to the technical field of UAV task scheduling; it includes a task publishing unit, which is used to receive the first and second tasks published by system users; a task matching unit, which is connected to the task publishing unit in communication, and combines the first and second tasks to obtain a task package; a path planning unit, which is connected to the task matching unit in communication, calculates the content of the task package, judges the rationality of the task package division, maintains or adjusts the number of the first or second tasks in the task package, and generates a preset path for the UAV and sends it to the UAV; a display output unit, which is connected to the UAV in communication, and is used to display the real-time position of the UAV executing the task, environmental information and the execution status of each task in the task package on the urban CIM model, and update feedback to the system user. Through reasonable planning, real-time tracking of tasks can be achieved.

The present invention provides a method and system for selecting a connection location of a drainage pipe network, including: constructing a city model; analyzing and confirming location factors; using the confirmed location factors to optimize the city model; obtaining the operation information of the drainage pipe network connection in real time to dynamically adjust the city model; and confirming the connection address information of the drainage pipe network according to the city model. By constructing, optimizing, and dynamically adjusting the city model according to the actual urban construction, the connection address information of the drainage pipe network confirmed by the root city model conforms to the current urban construction, which is systematic. In addition, since the connection address information of the drainage pipe network is automatically generated by the city model according to an algorithm, it does not depend on manual experience and has high scientificity, solving the problem that the existing selection of the connection location of the drainage pipe network lacks scientificity and systematicness.

The invention relates to an unmanned aerial vehicle cluster path planning method, device and equipment for an urban environment, and the method comprises the steps: constructing an unmanned aerial vehicle cluster multi-path planning model and an unmanned aerial vehicle cluster flight path model through an urban three-dimensional model constructed based on the introduction of an AirMatrix concept, and carrying out the multi-path planning of an unmanned aerial vehicle cluster under the models, a reinforcement learning problem is modeled into a Markov decision process model, an unmanned aerial vehicle cluster collaborative exploration game model is constructed, an optimized SAC reinforcement learning method and historical data are adopted to perform iterative training based on the model, and a path planning model for unmanned aerial vehicle cluster path planning in a complex environment is obtained. And planning the flight path of each unmanned aerial vehicle in the unmanned aerial vehicle cluster by using the path planning model according to the cluster task information to obtain a multi-unmanned aerial vehicle cooperative operation path planning result under multiple constraint conditions. By adopting the method, effective path planning can be carried out in a complex and multi-obstacle urban scene.

The invention discloses a flood risk early warning grading standard method based on urban flood simulation forecast. The method is specifically implemented according to the following steps: step 1, constructing a grid city model; step 2, evaluating the disaster-bearing object capability of the grid city model in the step 1; 3, evaluating the waterlogging prevention capability in each grid unit in the grid city model in the step 1; 4, constructing a flood risk assessment model; step 5, constructing a flood risk grading early warning model, quantifying a risk value and a continuous trend of flood, and setting a triggering condition of risk early warning; and step 6, constructing a grading early warning model. According to the method, the problems that the dynamic process of urban flood occurrence cannot be accurately simulated and the matching degree with actual risk early warning is low in an existing grading method are solved, the urban flood risk grade can be accurately predicted and evaluated, and the accuracy and timeliness of early warning are improved.