40 results about "Urban model" patented technology

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 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 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 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 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 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 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 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 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.

This invention provides a drainage connection intelligent site selection system based on GIS and the CIM metaverse virtual space. This system aims to achieve intelligent site selection and optimized management of urban drainage network connection points through advanced geographic information system and urban information modeling technologies. The system comprises a model construction module, a drainage network generation module, a model optimization module, a model adjustment module, an address confirmation module, a governance module, and an interaction module. By optimizing and dynamically adjusting city and drainage network models based on actual urban development, drainage network connection address information is aligned with current urban development. This information is automatically generated using an algorithm based on the city and drainage network models, resulting in a highly scientific approach. The system can dynamically adjust the city and drainage network models based on real-time urban development data, addressing the lack of scientific and systematic methods in existing drainage network connection site selection and providing strong technical support for the planning and management of urban drainage systems.

The application relates to the technical field of urban planning and design, in particular to a model generation method suitable for urban planning and design, which comprises the following steps: S1, for a region to be modeled, a plurality of building topographic maps and height data of the region to be modeled are acquired and merged to generate a merged data map; S2, the merged data map is corrected to generate an intermediate design map; and S3, a city model is generated in the region to be modeled by using the intermediate design map and external facade data. The application has the beneficial effect that, in the process of constructing the city model, the building data in the region to be modeled is integrated and processed, and the places where errors exist among the plurality of buildings are excluded to generate the intermediate design map, so that the overall layout effect of the region to be modeled is more coordinated, the problem that design interference among the plurality of buildings is difficult to find and the effect is not unified when only a single building is designed is avoided, and better city model construction effect is achieved.

To provide an information processing device that can explore routes suitable for a three-dimensional movement of a user in a cyber urban space.SOLUTION: A head-mounted display (HMD) 100 comprises: 3D urban model information acquisition means 201 of acquiring 3D urban model information on a cyber urban space where a plurality of CG objects exists; user information acquisition means 202 of acquiring user information; route exploration networking means 203 of using the 3D urban model information to network a route exploration network 300, calculating at least a score Sv based on easiness of viewing of the CG object, and a score Su based on preference of a user to the CG object by use of the 3D urban model information, and user information, and thereby setting a link score Score; and route exploration means 206 of, in the route exploration network 300, exploring a route from a departure location to a destination location, using the link score Score.SELECTED DRAWING: Figure 2

This invention discloses a method and system for dynamic monitoring of urban flood disasters based on big data, belonging to the field of disaster management technology. The method includes: constructing a three-dimensional urban model; decoupling and evaluating the structural, functional, and load vulnerability to form a disaster monitoring architecture; supervising and training disaster monitoring components based on this architecture and embedding them into an urban information platform to achieve intelligent learning of disaster probability dependence and vulnerability entropy; combining multi-source sensor data for joint evaluation to determine the disaster monitoring status in real time; and implementing intelligent management and targeted monitoring guidance for urban flood disasters based on the monitoring results. This invention solves the technical problems of existing urban flood monitoring methods lacking comprehensive evaluation and real-time dynamic monitoring of the complex urban environment, leading to delayed disaster identification and insufficient monitoring accuracy. It achieves the technical effect of a big data-driven three-dimensional disaster monitoring architecture, enabling multi-dimensional dynamic evaluation of urban flood disasters and improving disaster identification accuracy and response efficiency.

An artificial intelligence-based urban design noise optimization method and system includes: preprocessing building form and noise measurement data, constructing a basic data set after noise simulation verification; generating a three-dimensional urban model and a network of measurement points through a hierarchical parameterized framework, calculating the structure-borne noise level, and verifying it in real time in conjunction with planning constraints, providing a structured design space, basic noise data, and feasibility assurance; constructing a two-stage multilayer perceptron network to process the acoustic impact of local building clusters and global urban noise patterns, respectively, and achieving high-precision noise prediction through training; deploying a large language model as an optimization agent, and outputting the optimal solution through multiple rounds of iterative optimization and evaluation. Compared with traditional technologies, this invention effectively improves noise prediction accuracy. Parametric modeling provides a structured design space, real-time verification ensures feasibility, and the use of a large language model for optimization enables efficient iteration, significantly improving efficiency and reducing labor costs compared to traditional methods.