58 results about "Twin cities" patented technology

The invention discloses an inspection well overflow point forecasting and early warning method and system based on digital twinborn. The system comprises a city sensing module, a digital twinborn body module, an inspection well forecasting module and a flood risk early warning module. The method comprises the following steps: firstly, perfecting a city knowledge graph to construct a city perception module; constructing a digital twin city; constructing an inspection well forecasting module; and constructing a flood risk early warning module. Based on a digital twin platform, through an Internet of Things network and a data flow processing framework, an urban hydrological hydrodynamic model is coupled, parameters of the coupled model are dynamically calibrated, and an inspection well is finely simulated; the method comprehensively displays the multi-temporal-spatial-scale urban development state flood inundation condition, tracks and reflects the actual operation state of an urban drainage system, dynamically evaluates the risk level and carries out real-time early warning, improves the urban emergency management response efficiency, and provides support for smooth development of urban flood control and drainage work.

The invention relates to the technical field of unmanned aerial vehicle application and urban airspace management, in particular to an intelligent site selection method and system for unmanned aerial vehicle take-off and landing points in an urban building group, and the intelligent site selection system for the unmanned aerial vehicle take-off and landing points in the urban building group specifically comprises the following steps: S1, carrying out the multi-source heterogeneous data fusion and high-precision three-dimensional environment modeling; s2, fluid dynamics simulation and airflow field pre-calculation are calculated; s3, real-time meteorological monitoring and dynamic risk correction; s4, establishing a quantitative safety evaluation model and multi-objective optimization site selection; and S5, visual decision support and feedback learning. According to the scheme, by deeply fusing multi-source heterogeneous geographic information data and constructing a high-precision three-dimensional digital twinborn city environment, accurate simulation and risk assessment of an airflow field around a building group are realized, geometric, material and semantic information is automatically extracted by using oblique photography, laser point cloud and a building information model, and the construction efficiency is improved. A unified three-dimensional grid with physical attributes is formed, and a reliable basis is provided for subsequent fluid calculation.

The invention provides a 3D modeling method based on a digital twin city, and belongs to the technical field of 3D city modeling. Through a multi-source semantic data fusion acquisition means, space-time semantic tags are added to various types of data, the problem of multi-source data isomerism is solved, and semantic unification and efficient fusion of different types of data are realized; by means of hierarchical dynamic modeling means, a building component network is constructed based on triple association of geometry, functions and semantics, so that a model structure better conforms to the logic of the building industry, and the reasonability and efficiency of modeling are improved; a virtual-real two-way mapping means is applied, incremental updating of the model is triggered through a cross-modal semantic comparison algorithm, limitation of traditional static modeling is broken through, and dynamic synchronization of the virtual model and the physical world is achieved; an intelligent optimization means is adopted, a multi-constraint-condition generative adversarial network is combined with a visual attention mechanism, it is ensured that generated textures conform to building geometric features and material specifications, and meanwhile intelligent distribution of rendering resources is achieved.

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 discloses a data sharing method of a digital twin city and a related device, and relates to the field of digital twin, a data virtualization system is constructed, multi-source data virtualization is carried out on each data source of a digital twin city system, data of different business systems are stored in respective business systems, and the data sharing efficiency is improved. A centralized data warehouse does not need to be constructed, uniform access connection of multi-source heterogeneous data is achieved, and specifically, under the condition that a master control node in the data virtualization system receives a calling request of a calling end, the master control node is controlled to generate at least one task according to the calling request, and the task is sent to at least one working node; the method comprises the following steps: receiving a task from a working node, controlling the working node to access a data source corresponding to the task to obtain a task result, and feeding back the task result to a master control node, so that the master control node feeds back the task result to a calling end, thereby realizing joint access across different data sources, returning an access result in real time, and improving the data sharing efficiency of the digital twin city.

The invention belongs to the technical field of multi-unmanned aerial vehicle breakout, and particularly relates to a distributed multi-unmanned aerial vehicle intelligent breakout decision-making method oriented to a three-dimensional city environment, which comprises the steps of building a digital twin city simulation environment, simulating a multi-unmanned aerial vehicle breakout and unmanned aerial vehicle hunting process through the simulation environment, obtaining real-time simulation data, and determining a three-dimensional city environment according to the real-time simulation data. A global-individual-based multi-unmanned-aerial-vehicle trajectory prediction network is designed, future trajectory prediction of a target is realized, a basis is provided for subsequent decision making, a multi-unmanned-aerial-vehicle random game model facing a suddenness task is established, a multi-unmanned-aerial-vehicle suddenness decision making algorithm based on maximum entropy is further designed, offline training and online decision making of the algorithm are completed, and the optimal suddenness task is established. And realizing real-time decision of the multiple unmanned aerial vehicles in a three-dimensional urban environment by using the trained multi-unmanned aerial vehicle breakthrough decision network. According to the invention, through obtaining the future trajectory of the unmanned aerial vehicle trapped by the opposite side, the distributed multi-unmanned aerial vehicle suddenly cooperative control method based on the maximum entropy is researched, and rapid and effective suddenly defense in a three-dimensional urban environment is realized.

The invention discloses a simplified expression method for geometric data in the field of digital twin cities, relates to the technical field of digital twin, is applied to a digital twin city platform, and comprises the following steps: judging the type of a geometric model in the digital twin city platform; under the condition that the type of the geometric model is a regular model, the geometric model is converted into a point-line structure, and the point-line structure comprises key points and key edges which describe the geometric model; and under the condition that the type of the geometric model is an irregular model, calculating a boundary range and a convex hull unit of the geometric model, performing hierarchical simplified representation on the geometric model according to the boundary range and the convex hull unit, the boundary range representing the minimum boundary of the geometric model, and the convex hull unit being obtained by decomposing the geometric model. The technical problem that geometric data representation is complex is solved.

The invention discloses a digital twin city energy management system based on the Internet of Things, which relates to the technical field of intelligent management, comprises a construction module, an analysis module and a management module, constructs a heat supply topological structure, constructs a node flow balance equation and a pressure difference balance equation, obtains a heat supply flow equation set and a theoretical historical load value of a corresponding node, and obtains the theoretical historical load value of the corresponding node; and constructing an urban heat supply digital twinborn model, comparing the theoretical current load value with the corresponding theoretical historical load value, executing a first operation, and sending a solution strategy. Through the digital twin technology, the efficiency and accuracy of energy management are improved, virtual testing and verification are carried out through a digital twin model, operation decisions and control strategies are optimized, through prediction and simulation, energy waste is reduced, the operation cost is reduced, the dynamic adaptive capacity of the system is improved, and through optimization of energy use, the energy management efficiency is improved. And sustainable development and environmental protection targets of cities are supported.

The invention discloses an extensible reconstruction method for a super-large scene based on 3D (three-dimensional) Gaussian Splitting. The balance of the number of sub-block images is ensured through image perception self-adaptive blocking; a low-contribution view is removed through SSIM pruning; a priori depth is obtained based on virtual stereo rendering, a confidence mask is generated through multi-view verification, boundary consistency loss is constructed, and Gaussian densification is driven; and finally, carrying out TSDF fusion to obtain a seamless grid. Experiments show that reconstruction is completed in a 2.7 km scene within 6 h, MatrixCity-Aerial F1 reaches 0.784 and is improved by 41% compared with City GaussianV2, precision, efficiency and boundary consistency are considered, and the method is suitable for being applied to oversized scenes such as digital twin cities and automatic driving.

The invention discloses the technical field of smart city emergency management, and particularly relates to a smart city emergency management system based on multi-dimensional heterogeneous data, which comprises a digital twin city model, a historical emergency event model, an emergency event prediction model, a multi-dimensional data access model, a data fusion model and an emergency event strategy model, and the emergency event strategy model is used for arranging the fused data according to the decision model, and when the emergency event prediction model is excited, the emergency event processing strategy is given according to calculation of the decision model. Smart city emergency management is realized based on the system. According to the smart city emergency management system and method, multi-dimensional data are integrated, the regional comprehensive situation panorama is constructed, all-around monitoring and early warning, real-time simulation, decision planning and evacuation path planning in high-risk fields such as urban waterlogging, traffic accidents and production safety are achieved, and the emergency management response speed is increased.

The invention provides a city-level digital twinborn cloud management platform and method supporting multi-scene access, and relates to the technical field of digital twinborn, and the platform comprises a multi-dimensional modeling module which is used for constructing a city digital twinborn model; the risk analysis module is used for constructing a multi-scene risk map; the operation and maintenance decision module is used for obtaining a multi-scene operation and maintenance space; the evaluation optimization module is used for obtaining a multi-scene operation and maintenance population; the global optimization module is used for determining a multi-scene operation and maintenance optimization result; and the cloud management module is used for executing risk adaptive cloud management of the city according to the multi-scene operation and maintenance optimization result. The technical problems that in existing digital twin city management, multi-scene collaboration is difficult, risk analysis is one-sided and lagged, and management efficiency is low are solved, and the technical effects of improving city operation and maintenance efficiency and enhancing risk response capacity are achieved by constructing the multi-scene risk map and combining an evolutionary optimization algorithm.

The present application discloses a method for simplified expression of geometric data in the field of digital twin cities, which relates to the field of digital twin technology and is applied to a digital twin city platform. The method includes: determining the type of geometric model in the digital twin city platform; in the case where the type of the geometric model is a regular model, converting the geometric model into a point-line structure, where the point-line structure includes key points and key edges for describing the geometric model; in the case where the type of the geometric model is an irregular model, calculating the boundary range and convex hull cells of the geometric model, and hierarchically simplifying and representing the geometric model according to the boundary range and convex hull cells, where the boundary range represents the smallest boundary containing the geometric model, and the convex hull cells are obtained by decomposing the geometric model. The present application solves the technical problem of complex representation of geometric data.

The disclosure provides a kind of automation generation method and system for digital twin city model, it is related to digital twin technical field.The method comprises: by obtaining multi-source data and configuration parameter information, trigger automation execution pipeline to schedule model generation process, and the execution environment of each processing stage is uniformly configured, so that each stage runs under consistent conditions;In the model generation stage, model elements are automatically generated based on semantic information, and the association between the model elements and the original data is established, and finally the generation result of the digital twin city model and the task execution information are output.The scheme can reduce the degree of human participation, improve the automation level of the generation process, enhance the consistency of the generation result under different operating environments, and improve the traceability and overall generation stability of the model data.

The present invention provides a large-scale real-scene three-dimensional modeling system and method for digital twin city construction. The unmanned aerial vehicle (UAV) has a built-in positioning module, a communication module, and a processor, and the processor executes instructions sent by a ground control end; a camera is installed at the bottom of the UAV, and a movable assembly structure is adopted between the camera and the UAV; a gear ring structure is arranged at the bottom of the UAV, and the camera is fixed on a camera bracket; the outer end of the camera bracket is equipped with a planetary gear that meshes with the gear ring; a connecting column is provided at the bottom of the UAV, and the inner end of the camera bracket is connected to the connecting column through two upper and lower clockwork springs, and the rotation directions of the two clockwork springs are opposite; the UAV flight route is set, images are captured and corresponding position data are recorded, and the images are sequentially exported based on the position data for feature matching and grayscale matching; a white mold is generated according to the building plane and elevation data, and a three-dimensional model is generated through texture mapping.

The invention discloses an artificial intelligence micro-service system for digital twinborn city construction, which belongs to the technical field of artificial intelligence services and comprises a perception access layer, an event perception layer, a semantic alignment layer, an AI reasoning layer, a twinborn driving layer, a strategy arrangement layer, an elastic resource layer and a lightweight service bus. According to the method, a sensing-inference-twinning closed loop is compressed to extremely low delay through an event perceiving layer and a granularity entropy driven elastic arrangement mechanism, so that a synchronous evolution situation can be immediately seen in a digital twinning body when an emergency is just exposed, and the timeliness of emergency decision is effectively improved; the technical threshold is reduced through zero-code semantic alignment and low-code strategy arrangement, so that business personnel can directly operate, when a new sensor or social media data source appears, access can be completed without restarting a service or retraining a large model, and when an emergency plan needs to be adjusted, only a strategy block needs to be dragged to be online.

The application provides a city-level digital twin cloud management platform and method supporting multi-scene access, relates to the technical field of digital twin, and comprises the following: a multi-dimensional modeling module for constructing a city digital twin model; a risk analysis module for constructing a multi-scene risk atlas; an operation and maintenance decision module for obtaining a multi-scene operation and maintenance space; an evaluation optimization module for obtaining a multi-scene operation and maintenance population; a global optimization module for determining a multi-scene operation and maintenance optimization result; and a cloud management module for performing risk adaptive cloud management of the city according to the multi-scene operation and maintenance optimization result. The application solves the technical problems of difficulty in multi-scene cooperation in existing digital twin city management, one-sided and lagging risk analysis, and low management efficiency, and achieves the technical effects of improving city operation and maintenance efficiency and enhancing risk response capability by constructing a multi-scene risk atlas and combining an evolutionary optimization algorithm.

The invention discloses a display device for a digital twin city model, and the device comprises a bottom plate and a platform, the two ends of the top of the bottom plate are fixedly connected with fixed plates, a limiting rod is fixedly connected between one ends of the two fixed plates, and the ends, away from the limiting rod, of the two fixed plates are rotatably connected with a bidirectional screw rod. The ends, away from the limiting rods, of the movable frames are in threaded connection with the outer sides of the two-way lead screws, and the two ends of the tops of the movable frames are rotationally connected with rolling wheels. According to the display device for the digital twin city model, the driving mechanism can drive the two-way lead screw to rotate, then the two-way lead screw drives the two moving frames to move, then the platform is driven to move up and down, meanwhile, the motion trails of the moving frames are guaranteed through the limiting rods, and the display effect is improved. According to the device, the display height of the model diagram can be conveniently and effectively adjusted in the actual use process, the device can adapt to different crowds, and actual application and operation are facilitated.

The invention discloses a double-city economic infrastructure carbon emission reduction sharing scheduling system, relates to the technical field of carbon emission reduction, and is used for solving the problem that existing traffic management does not effectively integrate travel flow between double cities to reduce carbon emission and the like. The system comprises a data acquisition module, a data processing and analysis module, a carbon emission reduction model module, a shared scheduling algorithm module, an execution module and a monitoring and feedback module. The method combines the carbon emission reduction model and the shared scheduling algorithm, coordinates the operation state of the traffic facilities between the two cities in real time, promotes the reasonable flow and sharing of resources between the two cities, and achieves the optimal effect of overall carbon emission reduction.

A method for extracting people living in two cities who commute between two places on weekends using mobile phone signaling data comprises: obtaining a user's daily residence data set, including four fields: user number, date, residence, and city; identifying a residence on weekdays, merging records with the same user number, daily residence, and weekday city, and adding a frequency field; if the frequency divided by the number of weekdays is greater than or equal to 60%, then the record is the weekday residence; identifying a weekend residence, extracting data from the weekend's daily residence data according to the user number and weekend city in the weekend alternative residence; merging records with the same user number and residence, and adding a frequency field; the record with the largest frequency is the user's weekend residence; identifying people living in two cities, connecting the weekday residence table and the weekend residence table through the user number, extracting records with the same user number in both tables, and these users are people living in two cities.

The digital twin field of the present invention particularly relates to a digital twin city Internet of Things data integration and processing system, which includes: an average speed determination module, which determines the actual average speed of traffic according to the traffic conditions of the first waiting group within the initial green light duration; a temporary duration determination module, which determines the temporary green light duration of the waiting group according to the actual average speed and the proportion of people and vehicles in the second waiting group; a statistical module, which counts the actual number of people in the waiting group within the temporary green light duration and determines the actual speed of the waiting group; a target duration determination module, which determines the target green light duration of the third waiting group based on the position of the traffic target in the third waiting group and the actual speed; a data integration module, which integrates the target green light duration into unified data, connects to the background through the Internet of Things technology, and determines the position of the signal light through positioning when the target green light duration is abnormal. Enhance the security of the traffic management system.

The application provides a data-intensive rain type intelligent identification and urban rainfall scenario dataset construction method. The main steps of the construction method are: 1) urban market rainfall sample dataset generation; 2) urban rain type intelligent classification and rain type dataset generation; 3) urban each rainfall station standard rain type identification; 4) scene design rainfall process derivation; and 5) urban rainfall scenario dataset generation. The urban rainfall scenario dataset constructed by the application includes historical scene rainfall and each rain type design rainfall with different guarantee rates, covers possible urban rainfall processes, and can provide rainfall scenarios for digital twin city flood control system construction.

The embodiment of the invention provides an intelligent charging management method and system based on digital twin city application, and relates to the technical field of technologies. The method comprises the following steps: acquiring urban charging equipment information, and acquiring urban geographic information through a GIS (Geographic Information System); constructing a digital twin city model based on the city geographic information; performing association fusion processing on the digital twin city model and the city charging equipment information to obtain a city charging model; and based on the city charging model, carrying out visual display on the obtained real-time charging equipment information. According to the invention, the problem that the cooperation degree of the charging data and other city management system data is low is solved, and the effects of improving the cooperation degree of the charging data and other city management system data and improving the charging efficiency are achieved.

The invention relates to the field of digital twinning, in particular to an engine system of a digital twinning city based on a multi-capability component. Comprising a capability calling terminal and a plurality of capability component response terminals, each capability component response terminal comprises a plurality of capability components, and the capability calling terminal calls an API (Application Program Interface) of the corresponding capability component according to a construction request of a digital twinning scene so as to generate a corresponding digital twinning application; the capability calling terminal operates according to the following method: generating a response matching degree corresponding to each substructure capability request class by each capability component response terminal; and determining a target capability response terminal according to the response matching degree. According to the method and the device, the capability components of different capability response terminals can be flexibly called according to the construction request of the actual digital twinning scene in an API (Application Program Interface) calling mode. Meanwhile, the capability components in the same capability response terminal can be used as much as possible, the problem of data format difference can be avoided as much as possible, and then compatibility is improved.

The invention relates to the field of digital twinning, in particular to a digital twinning city internet of things data integration and processing system, which comprises an average speed determination module for determining the actual average passing speed according to the pedestrian and vehicle passing condition of a first to-be-passed group within the initial green light duration; the temporary duration determination module is used for determining the temporary green light duration of the to-be-passed group according to the actual passing average speed and the passenger-vehicle proportion of the second to-be-passed group; the statistics module is used for carrying out statistics on the actual passing number of the to-be-passed group in the temporary green light duration and determining the actual passing speed of the to-be-passed group; the target duration determination module determines the target green light duration of the third to-be-passed group based on the position of the passing target in the third to-be-passed group and the actual passing speed, the data integration module integrates the target green light duration into unified data, the data is connected to the background through the Internet of Things technology, and when the target green light duration is abnormal, the target green light duration is abnormal. The signal lamp position is determined through positioning. And the safety of the traffic management system is enhanced.

The utility model discloses a service data security storage protection device for twin city construction, which comprises a device main body, the inner wall of the device main body is connected with a supporting plate, the upper surface of the device main body is connected with a first motor, the inner wall of the device main body and the upper surface of the supporting plate are jointly connected with a threaded rod, and the outer surface of the threaded rod is sleeved with a protection box. The outer surface of the threaded rod is in threaded connection with a sliding block, the left side face of the sliding block is connected with an air outlet block, the left side face of the device body is connected with a refrigeration box, the upper surface of the refrigeration box is connected with a fan, the upper surface of the fan is connected with a second motor, and the output end of the refrigeration box is connected with an air outlet pipe. The second motor is arranged to drive the fan to rotate to generate wind power, the cooled wind power is conveyed to the air outlet block, so that dust on the dustproof plate is blown away from inside to outside, and the automatic cleaning mechanism can keep the dustproof plate clean, prevent dust accumulation from affecting the heat dissipation effect and bring heat out of the device body.

The present invention discloses a 3D modeling method based on a digital twin city, belonging to the technical field of three-dimensional urban modeling, specifically including: continuously collecting a sequence of stereo images of the current city in real time, performing differential calculation between adjacent stereo images of the stereo images to obtain a to-be-determined area; performing building image recognition on the to-be-determined area to obtain all building image areas and generating a building digital surface model, obtaining a historical building digital surface model of the city and performing differential calculation with the building digital surface model to obtain a number of target areas; selecting any one of the target areas and obtaining street view photos of different perspectives of the target area, performing feature matching on the street view photos of different perspectives to generate a 3D model of the target area, and correcting the historical city 3D model according to the 3D model of the target area to obtain a final city 3D model. The present invention greatly improves the efficiency and accuracy of urban building modeling.

1. Name of the Design Product: Graphical User Interface of the Digital Twin City System for Computers. 2. Use of the Design Product: For computers. 3. Design Key Points of the Design Product: Lies in the content of the graphical user interface displayed on the computer screen, and the computer is an existing design. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View. 5. Use of the Graphical User Interface: The graphical user interface of this design product is used for the graphical user interface of the digital twin city system. 6. Description of the Change States of the Graphical User Interface: The interface displayed in the front view is the system login interface; the interface change state diagram 1 is the directory interface displayed after the system login is successful; the interface change state diagram 2 is the interface entered by clicking on the corresponding directory bar in the interface change state diagram 1.

The invention provides a model calling method and system based on a digital twinborn city, belongs to the field of digital twinborn cities, and aims to solve the problem that digital twinborn model calling cannot meet the efficient and personalized use requirements of a user on the digital twinborn city in related technologies. According to the method and the system, the model access demand of the access user can be accurately analyzed and predicted in combination with the model historical call data, and the call strategy is determined based on the call priority of the digital twin model obtained through analysis, so that the call strategy meets the model access demand predicted based on the user behavior and demand, and the user access experience is improved.

The invention discloses an electric power facility three-dimensional reconstruction method and device based on multi-source point cloud cooperation. The method comprises the following steps: collecting multi-source data; preprocessing the data; registering and fusing the multi-source point clouds; classifying the fused point clouds according to the features, and performing target extraction; carrying out monomer modeling on the point cloud of the electric tower; constructing a power line three-dimensional curve model through power line point cloud extraction and adaptive threshold curve fitting; judging whether a fitting result reaches the standard or not by comparing a comprehensive threshold value and a precision threshold value between the fitting curve and the original point cloud; if not, fitting parameters are automatically adjusted for re-fitting; if yes, the electric tower model and the power line curve model are fused in a unified coordinate system; and performing three-dimensional visualization and / or performance analysis. The centimeter-level power facility three-dimensional reconstruction and Web end efficient display can be realized, and technical support can be provided for intelligent power grids, digital twin cities and infrastructure monitoring.

The application belongs to the technical field of digital twin cities, and discloses a method and system for quantitatively evaluating the visual cognitive chaos of a user in a digital twin scene, which comprises the following steps: acquiring eye movement sequence data of a target subject in the digital twin scene and pre-processing the eye movement sequence data; determining a reference frame of the eye movement sequence data, reconstructing the phase space of the pre-processed eye movement sequence data based on the reference frame; calculating the nearest neighbor points of all observation points in the eye movement sequence data in the phase space, and calculating the average logarithmic separation curve through the observation points and the nearest neighbor points; obtaining the fitting slope of the average logarithmic separation curve based on a linear regression method, determining the chaos degree of the target subject based on the fitting slope; and outputting the chaos degree determination result of the target subject; the application can quantitatively detect the visual cognitive chaos of the target subject in the digital twin scene, and can be applied to the fields of traffic safety monitoring, pedestrian risk prediction and human-computer interaction optimization.