16 results about "Virtual city" patented technology

The invention discloses a low-altitude aircraft take-off and landing platform site selection optimization method. The method comprises the steps that real-time dynamic data and static GIS data including urban traffic flow data, meteorological data, landform data, environment data and POI data are acquired; constructing an urban three-dimensional digital model according to the static GIS data, and constructing a digital twin model according to the three-dimensional digital model and the real-time dynamic data; constructing environment constraint conditions and safety constraint conditions of candidate take-off and landing platform positions in the digital twin model; performing multi-objective optimization on the digital twin model through a particle swarm optimization algorithm, and generating an optimal candidate take-off and landing platform site selection scheme set meeting environment constraint conditions and safety constraint conditions; and dynamically updating the digital twin model according to real-time data feedback, and dynamically adjusting the site selection scheme of the take-off and landing platform. According to the method, the virtual city model is constructed through the digital twin, an accurate simulation environment and real-time feedback are provided for site selection optimization, and the accuracy and feasibility of a site selection scheme are improved.

The invention discloses an implementation method and system for AI and Agent agents to perform autonomous exploration and produce content, and relates to the technical field of AI and Agent agents, and the implementation method comprises the following steps: receiving an Agent identity file, an exploration target keyword, a narrative style parameter and an observation preference parameter configured by a user at a client, and generating Agent metadata containing character vectors and behavior tendencies; generating a virtual city model with a spatial topological structure based on GIS data, a POI map and historical and cultural corpora, and endowing buildings, roads and NPCs in a city with queriable semantic tags and interactive states to form a city-level semantic environment; by constructing a city-level semantic environment and a multi-agent collaborative exploration mechanism, autonomous perception, hierarchical decision and dynamic narrative generation of the AI Agent in a highly structured virtual city are realized, and by means of deep fusion of GIS data, POI atlas and historical and cultural corpora, a real geographic basis and cultural connotation are given to a virtual space, and immersion and logic coherence are improved.

The application provides a map matching method based on GNSS multipath error to distinguish urban road context environment, relates to global navigation satellite system positioning technology field, and includes the following steps: constructing a virtual city and satellite environment, simulating GNSS signal propagation by using a ray tracing algorithm, and generating a GNSS multipath error distribution heat map; based on error statistical characteristics, the road context environment is divided into multiple error level regions; a buffer region is defined with the GNSS trajectory point to be matched as the center, and then all candidate road segments in which the current GNSS trajectory point of the vehicle is located are screened out; through weighted calculation on the candidate road segments, the road segment with the highest path score is finally selected as the best matching road segment. The application quantitatively measures the spatial distribution of urban multipath error in advance, enhances the adaptive ability of the algorithm to the complex road context environment, effectively suppresses the matching deviation caused by the positioning jump in the high error area, and improves the accuracy and robustness of the map matching.

A method for processing game information, including: obtaining a target disease in a game of a virtual city, where the target disease comprises at least one disease in a disease database; determining a current transmission target disease in the virtual city according to a trigger probability and a trigger interval of the target disease, where the current transmission target disease is set to transmit in the virtual city at a preset rate; displaying a crisis early warning task corresponding to the current transmission target disease on the graphical user interface, where the crisis early warning task includes a disease name of the current transmission target disease and corresponding task information; and reducing, in response to completing the task information, the preset rate of transmission of the current transmission target disease in the virtual city.

The invention discloses an unmanned aerial vehicle visual scene simulation device and method based on programmed generation, and relates to the field of man-machine testing and testing. The problems that an existing unmanned aerial vehicle visual simulation platform is single in simulation scene, complex in scene construction, lack of self-defined weather simulation and the like are solved. The device comprises a data reading and preprocessing module used for reading real scene data, preprocessing the data and outputting basic terrain model data and open source street map data; the terrain generation module is used for generating a virtual terrain; the city generation module is used for realizing the construction of a virtual city environment according to the city data and the city element composition method; the object generation module is used for acquiring a generation range and object type parameters specified by a user and generating a model required by the user; and the weather generation module is used for adding a self-defined weather simulation environment model in the constructed virtual city environment and setting a delay event to realize a self-defined weather simulation function. The method is also suitable for the field of complex unmanned aerial vehicle visual simulation scenes.

This invention provides a city-level 3D data update method and related equipment based on a digital twin visualization engine, comprising: drawing the 3D data region to be updated in a virtual city 3D space using a digital twin visualization engine; transforming the 3D data region between different coordinate systems to align the spatial positions of the 3D tile data and the base plate data; performing geometric processing on the nodes of the 3D tile data to reorganize the geometric data within the nodes; updating the data of all relevant nodes in a specified LOD level based on the update operation of the 3D data region; after completing the data update processing at the specified LOD level, performing layer-by-layer analysis and full-range data updates on other LOD levels; and storing the updated 3D tile data in an object repository and loading it into the application. This invention enables rapid and flexible local updates on a 3D base plate.

The invention discloses a binocular vision distance measurement method, system and device based on an unreal engine, and relates to the technical field of distance measurement, and the method comprises the steps: constructing a virtual city through the unreal engine, configuring a virtual binocular camera, carrying out the image data collection, and carrying out the calibration of a collected binocular image; correcting the binocular image according to a calibration result; based on the corrected binocular image and the calibration result, calculating a disparity map by adopting a stereo matching algorithm; calculating depth based on a calibration result and the disparity map to determine a three-dimensional point cloud data set; taking a scene truth value in the virtual city and a corresponding three-dimensional point in the three-dimensional point cloud data set as a sample, and training a machine learning model by adopting a plurality of samples to obtain an error correction model; and inputting the three-dimensional points determined in the actual city into the error correction model to obtain a corrected truth value, and calculating a distance value according to the corrected truth value. According to the invention, the accuracy and robustness of binocular distance measurement in complex environments such as plateau cities and the like can be improved.

A system is provided.SOLUTION: Means for collecting, tagging, and classifying scenic images, means for training an image recognition model using the scenic images, means for generating a prototype of a virtual city using the trained image recognition model, and means for receiving a requirement of a user and reflecting the requirement in the prototype of the virtual city, A system comprising: means for generating a detailed 3D model; means for setting up an earthquake scenario and performing an earthquake simulation in a virtual city to provide escape routes and support points; means for generating a post-earthquake recovery support plan to calculate required resources and present a recovery plan; means for collecting and integrating real city information into a virtual city database; and means for updating real city planning and earthquake countermeasures based on the integrated data.SELECTED DRAWING: Figure 1

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 traffic sequence prediction method, apparatus, electronic device, and storage medium. The method includes: determining a target area from the source city based on traffic data from a source city and a target city, and then constructing a virtual city; comparing the geographical data of the virtual city and the target city to obtain network weights; training a prediction model based on the network weights, the virtual city, and the time-series data of the target city; and finally predicting the traffic sequence of the target city. The above technical solution constructs a virtual city based on the target area to retain more traffic data from the source city that is beneficial for predicting the target city, making traffic data migration more stable and reasonable; by training the prediction model based on the network weights, the virtual city, and the time-series data of the target city, the phenomenon of negative migration is mitigated, improving the accuracy and efficiency of traffic sequence prediction; finally, accurate and efficient traffic sequence prediction is achieved through the prediction model.

Embodiments of the present application disclose a method and device for generating a virtual city wall model, a computer device and a storage medium. The method comprises: obtaining a virtual support model, the virtual support model being used to construct a virtual city wall model; obtaining a shape trend of the virtual city wall model, the shape trend being used to reflect a city wall structure of the virtual city wall model and arrangement directions of a plurality of virtual supports constituting the virtual city wall model; and arranging the virtual support model along the shape trend of the virtual city wall model, so as to construct the virtual city wall model by using the virtual support model. According to the embodiments of the present application, a plurality of virtual combination models are arranged on a model arrangement line to obtain an adjustable virtual city wall model. Game producers can adjust the virtual city wall model according to specific requirements to obtain a virtual city wall model meeting the requirements, so that various virtual city wall models can be quickly generated, and the reuse rate and production efficiency of the model are improved.

The invention relates to the technical field of water resource treatment, in particular to a municipal engineering water treatment emergency system and device based on digital twinning, and the system comprises a water regimen monitoring module, a water regimen prediction module and an emergency treatment module; the water regimen monitoring module is used for monitoring water source quality and water source allowance of water resources treated by the municipal sewage plant and running states of various water treatment devices; the water regimen prediction module is used for constructing a virtual urban water network; the water regimen prediction module is also used for generating a simulation emergency scheme; the water regimen prediction module is used for adjusting the simulation emergency scheme, generating an actual emergency scheme and transmitting the actual emergency scheme to the emergency processing module; the emergency treatment module is used for receiving the actual emergency scheme transmitted by the water regimen prediction module, performing emergency treatment according to the actual emergency scheme, and adjusting the water source quality and the water source allowance of the water resources treated by the municipal sewage plant and the operation states of various water treatment devices. The device is complete in structure, and the efficiency and success rate of water resource emergency treatment can be effectively improved.

The present invention discloses a method, device, medium, and product for optimizing on-board task scheduling in a connected vehicle environment, relating to the technical field of on-board task scheduling optimization. The method comprises obtaining geographic information, road information, and vehicle network trajectory information of a target area; constructing a virtual urban traffic environment based on the geographic information; deploying roadside communication units using a genetic algorithm to obtain a first virtual urban traffic environment; clustering the roadside communication units using a principal component clustering method to obtain a second virtual urban traffic environment; and determining the multi-computation task offloading process using a vehicle and roadside communication unit state transition algorithm based on the principal component clusters. The present invention clusters multiple roadside communication units, using road and vehicle network trajectory information to provide a basis for clustering. The clusters can share the results of completed computations, thereby improving the efficiency of vehicle task delivery and saving computing resources.

A software application detects a request to display a three-dimensional (3D) landscape view of resources deployed for a given entity in at least one cloud platform. Next, the software application retrieves at least one parameter associated with each resource of a plurality of resources deployed for the given entity in the cloud platform. Then, for each parameter, the software application determines a volumetric size based on a value of the parameter. Next, the software application causes volumetric graphical elements with the determined volumetric sizes to be rendered for the plurality of resources deployed for the given entity in the cloud platform. Then, the software application causes the rendered volumetric graphical elements to be displayed, in an interactive user interface on a computing device, as virtual buildings in a virtual city landscape, where the virtual buildings represent the plurality of resources deployed in the cloud platform.

The invention discloses a day and night dynamic switching and virtual and real intelligent lighting system driven by an MCP protocol, and belongs to the technical field of city management. According to the invention, a data interaction module is used for obtaining city environment data of a target city at the current moment, and the data interaction module is based on an MCP protocol; the city simulation module is used for determining model rendering data of a virtual city model according to the city environment data and the virtual city model of the target city; and the intelligent decision-making module is used for generating urban light control data according to the model state data and the control decision-making model, so that resource waste is avoided, and the light use effect is improved.

The invention provides a city scene-oriented large model evaluation method and device and electronic equipment, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining multi-modal data of a city scene; restoring the city scene based on the multi-modal data to obtain a virtual city simulation scene; constructing at least one evaluation task based on the virtual city simulation scene; for each evaluation task, controlling the to-be-evaluated large model to execute the evaluation task to obtain an execution result of the evaluation task output by the to-be-evaluated large model; and evaluating the to-be-evaluated large model based on each execution result. According to the method, multiple assessment tasks can be constructed based on the virtual city simulation scene obtained by restoring multiple simulation data, the to-be-assessed large model is controlled to execute the multiple assessment tasks, and finally, the to-be-assessed large model is assessed based on each execution result, so that the large model assessment oriented to the city scene is realized, and the assessment efficiency is improved. And the accuracy of large model capability evaluation is improved.