22 results about "Virtual structure" patented technology

The invention relates to the technical field of building structure health monitoring, and discloses a BIM-based steel structure deformation monitoring processing method and system. According to the method, a BIM design model and a physical monitoring space are mapped through a digital twin interface, and a virtual structure mirror image is generated. And injecting real-time monitoring data into the mirror image, and driving the mirror image to evolve to generate the dynamic twin. And by carrying out reverse backtracking and feature deconstruction on the historical evolution trajectory of the twinborn body, an independent deformation component caused by an environment variable and a load variable is stripped out. And performing nonlinear time sequence extension deduction on each component, and constructing a future potential development path of each component. And carrying out spatial topological superposition and interference analysis on the paths of all the components, and synthesizing a prediction deformation field. The mapping rule is dynamically adjusted by comparing the deviation of the prediction field and the real-time twinborn body, and a closed-loop process is formed. According to the method, accurate separation and attribution of steel structure deformation causes are realized, and the spatial precision and reliability of deformation development prediction are improved.

The present application relates to the technical field of unmanned aerial vehicle cluster control, in particular to a multi-modal perception fusion unmanned aerial vehicle cluster control method and device based on deep learning, equipment and storage medium. The present application collects gesture, voice, visual and touch data in parallel through a multi-modal perception access layer, and pre-processes and synchronizes the data. A special deep network is used to extract high-level features rich in cluster semantics. Through cross-modal semantic alignment, graph neural network correlation learning, and multi-dimensional conflict detection and intelligent resolution mechanism, the present application realizes the deep fusion of the four modes in the cluster control semantic space and the accurate analysis of the intention. The present application uses hierarchical task decomposition, virtual structure formation control and multi-objective optimization algorithm to efficiently convert high-level instructions into single-machine executable tasks and coordination strategies. The present application also performs real-time state feedback and adaptive parameter optimization, improving the accuracy, reliability, environmental adaptability and human-computer interaction efficiency of large-scale unmanned aerial vehicle cluster control.

A design support device S011: uses an installable area calculation unit P01 to calculate, on the basis of spatial data D01, installation rule data R01, and virtual structure design data B01, which are stored in an external storage, areas that satisfy installation rules in the installation rule data R01 and design rules in the virtual structure design data B01, and thereby acquire installable area data T01; and uses a virtual structure installation unit M01 to install, on the basis of the installable area data T01 and the virtual structure design data B01, a virtual structure within an installable area based on the installable area data T01, and acquire and output design support data E01 to the outside.

The application provides a liquid crystal display module production line multi-variety order dynamic scheduling management method and system, relates to the technical field of industrial automation, and the method comprises the following steps: collecting the size, resolution, interface type, batch, and delivery date of all orders, simultaneously acquiring production line process equipment, jig configuration, material inventory state, and material supply plan data, obtaining an order data set and a resource data set; based on the order data set and the resource data set, an order and resource associated data point set is constructed, a three-dimensional virtual voxel space is defined in a virtual structure, the order and resource associated data point set is mapped into corresponding voxels one by one, and the number of data points, corresponding order type, resource number, and material demand matching degree information of each voxel falling into the three-dimensional virtual voxel space are recorded, so that a voxel sub-region with data attribute labels is obtained. The application realizes dynamic optimization of a scheduling scheme.

This invention discloses a method for testing the corrosion crack propagation path of floating structures based on digital twins, relating to the field of path testing. The method includes the following steps: acquiring basic information about the floating structure, setting up a three-dimensional virtual structure model, and marking key nodes; setting up an intelligent sensor network to acquire real-time monitoring data at each key node; performing labeling and analysis on the historical monitoring data at each node within the three-dimensional virtual structure model to obtain a longitudinal and transverse label dataset; performing longitudinal and transverse analysis on the longitudinal and transverse label dataset to obtain the interaction relationship between seawater corrosion and crack propagation at each key node in three dimensions: time, space, and degree of influence; constructing a monitoring verification model and a crack propagation model based on the analysis results; verifying and analyzing the real-time monitoring data using the monitoring verification model; and performing path analysis on the verification analysis results based on the crack propagation model. This invention improves the accuracy of the crack propagation path testing process.

The aim is to provide design support for the new construction or relocation locations of infrastructure facilities using virtual space data. [Solution] In a design support device S011, an installable area calculation unit P01 calculates an area that satisfies the installation rules in the installation rule data R01 and the design rules of the virtual structure design data B01 based on spatial data D01, installation rule data R01, and virtual structure design data B01 stored in external storage, to obtain installable area data T01, and a virtual structure installation unit M01 installs a virtual structure within the installable area based on the installable area data T01 based on the installable area data T01 and the virtual structure design data B01, to obtain design support data E01 and output it to the outside.

The invention provides an unmanned aerial vehicle formation keeping, transformation, obstacle avoidance and collision avoidance system based on an artificial potential field method. The system comprises a formation structure module, a parameter measurement and calculation module, an artificial potential field module and an instruction integration module. The formation modeling module is used for performing virtual modeling on the formation through a virtual structure method, giving a target position of the current unmanned aerial vehicle, calculating a relative position and a relative speed with the target position according to the target position, calculating each obstacle according to the obstacle information, setting an emergency degree for the obstacles, and determining the formation according to the emergency degree. And calculating the gravitation and the repulsive force of the target position and the obstacle, finally synthesizing an initial resultant force, limiting the resultant force, and finally outputting a control instruction which can be actually executed by the optimized unmanned aerial vehicle. According to the method, the overall stability of the formation is ensured, flexible and efficient formation change can be realized, and real-time and reliable obstacle avoidance and collision avoidance capabilities are realized, so that the autonomous collaborative operation level of a multi-unmanned aerial vehicle system in a complex environment is improved.

The present invention particularly relates to a safety element comprising a grid consisting of a set of adjacent or adjacent raised lines (2) oriented in the directions of their respective axes X and Y, while the raised lines are oriented in the direction of axis Z. At least one of the lines (2) is defined by two consecutive valleys or two consecutive peaks, thereby forming two opposing sides. At least one opposing side has an average slope in the Y-Z plane, which varies continuously between two extreme values. The set of slopes of the grid is such that at any given point, the slope P(x, y) is expressed as, in the equation: k is a constant between 0.2 and 0.8; and P1(x, y) and P2(x, y) are the corresponding local slopes of the sides of the first virtual structure (S1) and the second virtual structure at point (x, y).

The invention provides a disassembly and assembly simulation method and a disassembly and assembly simulation system, and relates to the technical field of simulation. The method comprises the steps that after an activation instruction of a target detachable object is received, a virtual model of the object is presented on a terminal display interface; when a dismounting instruction of a target component is received, searching a dependent object having a dependency relationship with the target component from the virtual model, and marking the dependent object in the model; after the disassembly and assembly instruction of the dependent object is activated, the system demonstrates the disassembly and assembly process of the dependent object, and updates and displays the disassembled and assembled virtual model after demonstration is completed; and under the condition that all the dependent objects are judged to be disassembled and assembled, the system executes disassembly and assembly demonstration of the target part, and displays the virtual structure after the disassembly and assembly of the target part after the demonstration is completed. According to the invention, the dismounting sequence can be automatically determined according to the dependency relationship, the dismounting logic is truly presented, and the accuracy and operability of virtual dismounting teaching and simulation training are improved.

This invention belongs to the field of unmanned surface navigation technology, and particularly relates to a method, system, and medium for pre-defined time-based cooperative formation control of multiple unmanned surface vessels (USVs) with error constraints. The method includes: first, establishing kinematic and dynamic models of the USVs; then, combining virtual structure and leader-follower methods to establish a virtual leader-follower formation control framework, and designing a pre-defined time-based disturbance observer to observe disturbances; finally, designing a pre-defined time function and a pre-defined performance inequality to design a pre-defined time-based formation control protocol. The controller designed in this invention enables USVs to perform formation tasks within a preset time. Furthermore, the pre-defined time-based disturbance observer observes and compensates for external disturbances, exhibiting strong robustness and anti-interference capabilities. Compared to existing finite-time formation controllers, the controller of this invention does not exhibit chattering and its convergence performance is independent of the initial state; compared to fixed-time formation controllers, the system convergence time can be manually set, improving formation control efficiency.

The invention belongs to the technical field of computer vision and robots, and relates to a multi-modal semantic feature point ordering VSLAM method and system, and the method comprises the following steps: carrying out the analysis based on the image content of a video frame, and generating a semantic partition image containing an object type and a contour boundary; generating a mixed feature point cloud containing virtual structure anchor points and native texture features by inferring a geometric intersection relationship among different semantic regions; wherein each feature point is allocated with a structured semantic identity code containing physical affiliation information of the feature point; constructing a semantic physical constraint graph representing a scene physical rule; generating a weighted credibility parameter of the camera pose by evaluating the reliability of positioning contributions of different semantic entities; and triggering propagation calibration from the high-credibility pose to the low-credibility area, and generating a camera track and a map which are subjected to structured correction. The problem that physical consistency and accuracy of a global map are still difficult to guarantee in a large-scale scene is solved.

The invention discloses an unmanned aerial vehicle cluster virtual structure control method based on distributed consistency estimation. The method comprises the following steps: S1, setting a virtual navigator state and an expected relative position vector; s2, uniformly estimating the state of the virtual navigator based on the state information exchanged by the neighbor unmanned aerial vehicles through distributed state estimation; and S3, generating and executing a local control instruction of the unmanned aerial vehicle according to the estimated state of the virtual navigator and the expected relative position vector. According to the invention, the unmanned aerial vehicle group can keep a high-precision formation, and the method is high in expandability, supports large-scale deployment, and is higher in robustness.

This invention discloses a UAV formation cooperative obstacle avoidance method based on improved fuzzy decision-making, comprising: continuously acquiring the positions of UAVs and the virtual lead UAV using onboard sensors; obtaining position and attitude control commands for the UAV formation through a formation control method based on virtual structure and consistency theory; setting the distance obstacle avoidance range and rotation angle obstacle avoidance range of the UAVs according to their performance, and constructing a fuzzy decision-maker; determining the threat level of the UAVs based on the fuzzy decision-maker and obstacles, and outputting corresponding formation obstacle avoidance decisions; for UAVs that have broken out of formation, adjusting the obstacle avoidance control quantity of the UAVs that have broken out of formation based on the speed obstacle method and the expected obstacle avoidance speed. This invention ensures that the maneuverability of most members is not affected during inter-UAV collision avoidance, improves the stability and safety of the formation, and is more conducive to the execution of formation tasks.

The application discloses a database virtual physical structure optimization method, device and medium, and belongs to the technical field of databases. The method comprises the following steps: acquiring workload data of a database runtime and aggregating the workload data into sample sequences, performing normalization and structured analysis on SQL to generate a workload graph; inputting the workload graph into an artificial intelligence prediction model to generate a multi-dimensional prediction feature vector within a future time window; generating a candidate virtual physical structure set in the memory according to a prediction result, defining only metadata descriptors without actually creating physical entities; injecting the virtual structure into an optimizer candidate path through a database planner Hook to generate a hypothetical execution plan and a corresponding cost; calculating a multi-objective global score; and outputting an optimal physical structure adjustment scheme according to the global score and system constraints. The application realizes low-risk and forward-looking adaptive optimization of a database without creating real indexes and other physical structures, and in combination with AI load prediction and multi-objective evaluation.

The application discloses a kind of based on grouping multi-unmanned aerial vehicle formation control method, comprising the following steps: step 1: establishing the communication topology structure of unmanned aerial vehicle cluster;Step 2: according to the communication topology structure of unmanned aerial vehicle cluster, unmanned aerial vehicle is divided into three kinds of unmanned aerial vehicle, virtual leader, secondary leader, follower;Step 3: adjacent secondary leader is directly communicated, and the method of navigation and following is used to keep flight formation;Step 4: a secondary leader and several followers form a group, with secondary leader as reference point in group, using virtual structure method keeps flight formation;Step 5: according to the efficiency of unmanned aerial vehicle flight, the damage reconstruction strategy of formation is designed.The application can improve the formation accuracy of multi-unmanned aerial vehicle cluster formation, and enhance the robustness of cluster system.

This disclosure relates to a sound field simulation method, apparatus, device, medium, and product. The method includes: acquiring first structural data of a first virtual structure and array element excitation data of an ultrasonic transducer; performing forward simulation based on the first structural data and the array element excitation data using a first simulation mode to obtain first excitation data on the first virtual structure; using the first virtual structure as a first emission source, performing forward simulation based on the first structural data and the first excitation data using a second simulation mode to obtain sound field distribution data of an intracranial target point; wherein, the first virtual structure is located in the sound propagation domain between the ultrasonic transducer and the intracranial target point, and the simulation efficiency of the first simulation mode and the second simulation mode differs. This disclosure solves the problem of significant lag in sound field simulation and can adapt to medical application scenarios with high timeliness requirements.

This invention discloses an astronomical autonomous attitude measurement method based on virtual dual-field of view, belonging to the field of astronomical autonomous attitude measurement technology. The method includes: (1) acquiring historical time-series frames; (2) key frame screening; (3) star point coordinate optimization; (4) virtual structure parameter calculation; and (5) joint attitude measurement. The technical solution provided by this invention is based on multi-frame star images acquired by a monocular space camera in a specific time sequence. By screening key frames, optimizing star point coordinates, and calculating virtual structure parameters between the main field of view and the incremental field of view, a virtual dual-field of view observation model is constructed under monocular hardware constraints, thereby realizing joint attitude measurement. This can effectively improve the problem of unbalanced three-axis errors in traditional monocular attitude measurement results, and provide a new approach for astronomical autonomous attitude measurement that combines high-precision measurement requirements with lightweight hardware constraints for space missions.

The present application relates to the technical field of power data communication transmission, in particular to a data communication method and system of a power parameter acquisition terminal, the method provided by the present application mainly includes constructing a virtual structure tree with a server terminal as a root node, an acquisition node as a child node and an acquisition terminal as a leaf node, establishing a child node evaluation model and marking a child node where a target operating parameter is located. When network congestion occurs, the target operating parameter with a higher evaluation index can be preferentially transmitted to the server terminal for evaluation, and if an abnormality occurs, emergency measures can be taken in advance without waiting for all data to be transmitted before evaluation. In addition, when a fault level is required for secondary evaluation and complete data of the child node is required again, the required child node can be quickly located through the virtual structure tree marked after the child node, so that the operating parameters of all leaf nodes of the child node can be quickly obtained.

A method for estimating an origin of an audio impulse in a real-world environment performed by computing system is disclosed. Audio signals are received from a microphone array. The audio signals characterize an audio impulse generated in the real-world environment. Locations in the real-world environment of the plurality of microphones are received. A device related transfer function (DRTF) of the microphone array is recognized. A geometric computer model of the real-world environment is recognized. The geometric computer model includes virtual structures that model real-world structures in the real-world environment. The virtual structures include virtual surfaces that are assigned acoustic parameters. An impulse response path of the audio impulse throughout the geometric computer model of the real-world environment is simulated. Simulation data including an estimated origin of the audio impulse in the real-world environment is output based at least on the simulated impulse response path of the audio impulse.

This invention relates to the field of space frame inspection technology and discloses an intelligent inspection system and method for steel structure space frames based on digital twins. This system addresses the problem of low reliability of virtual structural models during space frame inspection. The method includes: acquiring model consistency assessment data of an initial virtual space frame model; evaluating the model effectiveness index of the virtual space frame model based on the model consistency assessment data; determining whether the initial virtual space frame model meets simulation conditions based on the model effectiveness index; if the initial virtual space frame model does not meet the simulation conditions, initiating data assimilation-based model self-correction to obtain a corrected virtual space frame model; acquiring the model effectiveness index again; terminating the data assimilation-based model self-correction when the model effectiveness index meets the simulation conditions; obtaining the final virtual space frame model; and transmitting the final virtual space frame model to the evaluation and decision-making module. This effectively reduces the uncertainty in the structural safety management and maintenance decision-making process.

The present application relates to a kind of online tuning method of damper external characteristic based on domain recognition, belong to the technical field of automobile suspension.The key geometry and mechanical characteristics of valve system and piston assembly are abstracted as virtual structure parameters, a reversible mapping model between domain and external characteristic curve is established, equivalent structure parameters are back calculated using real-time measured damping force-velocity data, and the quick update of domain to curve domain is completed in prediction model, so that external characteristic can be online tuned with structure parameters as control variable.The present application constructs real-time representation of damper internal state with structure parameter identification, changes external characteristic tuning from traditional actuator input adjustment to curve shaping process based on domain, and determines tuning direction through sensitivity analysis, periodically updates structure parameters under closed-loop strategy, so that external characteristic continuously approximates target curve, thereby realizing real-time, adaptive optimization of damper external characteristic without changing hardware structure.

The invention discloses a following-networking virtual parallel SVG control method adaptive to power grid intensity change, and the method comprises the steps: constructing following-networking virtual parallel SVG equipment, so as to achieve the equivalent simulation of the dynamic characteristics of a virtual following grid converter and a parallel combination of a virtual networking converter; the method comprises the following steps: establishing a feed-in system closed-loop characteristic equation according to a typical application scene of a follow-to-construct network virtual parallel SVG device, and describing a power system small-interference stability evaluation framework based on the power grid strength depicted by a short-circuit ratio index; and finally, when the power grid intensity changes, based on the small interference stability evaluation framework, realizing adaptive adjustment of the virtual component proportionality coefficient of the following-networking virtual parallel SVG. According to the control method, continuous switching of dual-mode control can be realized when the power grid strength changes, so that the influence of instant impact on the power grid is avoided, flexible support is provided for small-interference stability of the system, and the control method has practical engineering significance.