38 results about "Virtual body" patented technology

The invention discloses an AI assessment method and system for the safety risk of aged furniture, and relates to the technical field of artificial intelligence assessment, and the method comprises the steps: placing a virtual body in a virtual three-dimensional environment, and positioning a mismatching risk point of the body of a user and to-be-assessed furniture through applying simulation disturbance; extracting biomechanical parameters under the risk point and determining a physical risk value; carrying out dynamic deduction through a physiological-psychological state mapping relation based on biomechanical parameters, and determining a psychological stress value; fusing the physical risk value and the psychological pressure value to generate a current safety risk assessment result; based on a virtual body, simulating an elderly weak physiological trajectory, and performing long-term safety risk prediction on furniture in the same virtual three-dimensional environment; according to the method, mechanical disturbance and typical instability working condition simulation are introduced into the virtual three-dimensional environment, so that the safety guarantee level and the prospective evaluation capability of the aged furniture under the real use condition are improved.

The invention discloses a transformer substation global digital twinborn fusion system, which comprises a data fusion module, a model fusion module and an artificial intelligence fusion module, and is characterized in that the data fusion module is used for collecting multi-source data of a transformer substation, preprocessing the data and performing data fusion on the preprocessed data; the model fusion module is used for constructing a bidirectional dynamic mapping model of a transformer substation physical entity and a digital virtual body, constructing a multi-field model and constructing a model increment updating mechanism, and the artificial intelligence fusion module is used for correcting the deviation of an AI model, performing simulation verification on the output of the AI model and generating a visual alarm. According to the method, the technical problems of incomplete data fusion, poor model fusion collaboration and insufficient AI and digital twinning fusion depth in the existing transformer substation digital twinning system are solved, real-time bidirectional accurate mapping of the transformer substation physical entity and the digital virtual body is realized, and the operation and maintenance efficiency and the decision-making precision are improved.

The invention discloses a digital twinborn body and a digital twinborn method for a hydraulic test system of a turbine pump of a liquid rocket engine, and solves the technical problem of high production and test resource consumption caused by research and development of engine products. The basic architecture of the digital twinning body comprises a digital twinning engine, a physical entity and a digital virtual body, and dynamic unification of digital virtual body prediction performance and object actual measurement performance is realized through virtual-real interaction and model training and optimization; finally, the display effect that a digital virtual body completely replaces a liquid rocket engine turbine pump hydraulic test system entity can be achieved, and the contradiction between increasing turbine pump hydraulic test tasks and limited physical test resources is greatly relieved.

A method for determining a control policy model, the control policy model being used for controlling an end effector. The end effector comprises a central connector and a plurality of multi-joint operation components. The method comprising: acquiring a first control policy model installed on an end effector (S301); and using a plurality of action rounds to adjust the first control policy model installed on the end effector to determine a second control policy model installed on the end effector, in each action round among said plurality of action rounds, a learning task corresponding to each action round is determined based on information of the action round, a virtual body corresponding to the end effector executes the learning task corresponding to the action round in a virtual manner by using the first control policy model under adjustment, and a reward score corresponding to completion of the learning task corresponding to the action round and a reward score related to physical constraints during the execution of the learning task corresponding to the action round in a virtual manner are determined; and adjusting the first control policy model to increase the reward score for completing the learning task corresponding to the action round and the reward score related to physical constraints during the execution of the learning task corresponding to the action round in a virtual manner (S302).

An exemplary virtual IMU extraction system and method are disclosed for human activity recognition (HAR) or classifier system that can estimate inertial measurement units (IMU) of a person in video data extracted from public repositories of video data having weakly labeled video content. The exemplary virtual IMU extraction system and method of the human activity recognition (HAR) or classifier system employ an automated processing pipeline (also referred to herein as “IMUTube”) that integrates computer vision and signal processing operations to convert video data of human activity into virtual streams of IMU data that represents accelerometer, gyroscope, or other inertial measurement unit estimation that can measure acceleration, inertia, motion, orientation, force, velocity, etc. at a different location on the body. In other embodiments, the automated processing pipeline can be used to generate high-quality virtual accelerometer data from a camera sensor.

The invention discloses an interactive system based on a YOLO-CNN face emotional state model and multi-modal behavior response, and the system comprises six modules which are connected in sequence. The system obtains facial emotion features through a face emotion feature extraction module, a multi-modal fusion module fuses the features with voice and limb movement features to generate a fusion feature matrix, an emotion reasoning engine outputs an emotion reasoning result based on the matrix, and a closed-loop reinforcement learning optimization module optimizes a co-emotional response strategy in combination with historical and real-time interaction data. The virtual body interaction control module generates a control instruction, and the virtual body interaction execution module drives the virtual body to complete interaction and feed back data. The system improves the multi-modal information fusion depth and common situation strategy dynamic optimization capability, solves the problems of fusion limitation and strategy optimization lack closed loop in the prior art, adapts to the fields of education, medical treatment and the like, and enhances the human-computer interaction emotion suitability and stability.

The invention relates to an optical load real-installation digital twinning simulation system, which belongs to the technical field of digital twinning and comprises a satellite digital virtual body, an external interface module and an optical load full-digital virtual simulation platform, the simulation platform further comprises an ultra-high-line-frequency low-crosstalk comprehensive electronic module, a mechanism control module, an optical camera imaging simulation module and a focal plane data processing module. The system receives telemetry data and real shot images of an entity satellite, and performs instruction solution, mechanism motion simulation and full-link optical imaging simulation in a simulation platform to generate a virtual degraded image; performing online imaging quality comparison on the virtual degraded image and the real shot image through a focal plane data processing module, and identifying and correcting parameters of the digital twin model according to the online imaging quality comparison; and finally, the corrected model parameters are fed back to the entity satellite, so that the satellite images the ground object target again according to the plan. According to the invention, high-precision virtual-real twinning of the satellite camera is realized, so that the image quality of the satellite camera is higher.

The invention discloses a construction method of a coal flow monitoring and recognition system platform based on digital twinborn driving. The platform is composed of a real scene side, a communication bridge and a twinborn side. The real scene side builds a conveyor belt scene and completes calibration of a camera and a conveyor belt coordinate system, coal briquette / gangue output categories, confidence coefficients and coordinate information are detected in real time through an improved YOLOv8 model and converted into target poses under the conveyor belt coordinate system, and detection results are published through ROS-TCP. Constructing a mathematical model on the twinborn side based on a solid coal flow system; and after subscribing the live-action side message, generating a corresponding virtual body in a virtual scene according to a target type and a pose, thereby realizing dynamic visualization and consistency simulation of coal flow transportation, supporting start-stop and speed control of a conveyor belt, and feeding back and displaying an operation state and statistical data. The method can accurately position and visually track coal briquettes and gangues on the conveyor belt, is suitable for online monitoring and scheduling optimization of coal mines, coal dressing and related logistics production lines, can reduce manual intervention and misjudgment risks, and improves safety and production efficiency.

A method, a device (800), a medium for controlling the movement of a virtual body (107), including: a target determining step, in the first frame, based on the moving direction and position of the virtual body (107), selecting a virtual object (103) in a predetermined area as a virtual target (202); a dynamic adjusting step, calculating a horizontal moving direction (302a) of the virtual body (107), a direction of a connecting line between a vertical projection (107′a) of the virtual body (107) on the horizontal plane and a vertical projection of the virtual target on the horizontal plane, and an included angle (θ1) between the horizontal moving direction (302a) of the virtual body (107) and the direction of the connecting line in each frame, and controlling the horizontal moving direction (302a) of the virtual body (107) based on the included angle (θ1) (204).

This technology provides a way to reduce the cognitive load on users during spatial and physical transitions. [Solution] The display is controlled to show a connected space, which is a virtual space connecting a first space to a second space, within the user's field of view. The display is controlled to show spatial images from the perspective of the virtual body, corresponding to the virtual body's position in the connected space and the virtual body's line of sight, in accordance with the user's actions to move the virtual body corresponding to the user through the connected space. Furthermore, as the virtual body moves through the connected space toward the second space, the display is controlled to represent the change in the virtual body's field of view from the field of view corresponding to the first form in the first space to the field of view corresponding to the second form in the second space using spatial images displayed on the display.

The invention relates to a method for generating and / or adapting a geometric meta-model for a molded part produced in a primary molding process for use as a simulation geometry, in which in a learning process step, a qualified part is produced and the qualified part process is characterized, and in order to determine the meta-model, in a geometry determination step, a geometric element model is generated and / or adapted for a molded part produced in a primary molding process for use as a simulation geometry. At least one of the learned features is approximated in an iterative manner in a simulation using an intermediate geometry until a sufficiently precise meta-model is achieved, in which a virtual body is used, which is at least one regular geometry body or consists of regular geometry bodies.

The invention discloses an intelligent building structure construction method based on point cloud data and digital twinning, and the method comprises the steps: obtaining a building point cloud through three-dimensional laser scanning, carrying out the high-precision registration and preprocessing, carrying out the component feature extraction and parameterized reverse modeling through an RANSAC algorithm, and generating a high-fidelity BIM model; then, the model is deeply fused with GIS, finite element and Internet of Things data under a unified space-time reference, and a dynamically updated digital twinning scene is constructed. Finally, a virtual simulation platform is developed based on the scene, and real-time simulation, visualization and intelligent decision support of the construction progress and mechanical response are achieved. According to the method, the problems of insufficient precision and difficulty in multi-source data fusion of a traditional modeling method are solved, accurate mapping and interaction of a building structure from a physical entity to a digital virtual body are realized, and the intelligent level and decision scientificity of a construction process are remarkably improved.

A method for creating surgical simulation information by a computer includes creating a virtual body model corresponding to a body state of a patient for surgery, simulating a specific surgical process on the virtual body model to obtain virtual surgical data, dividing the virtual surgical data into minimum surgical operation units, each unit representing one specific operation, and creating cue sheet data composed of the minimum surgical operation units, wherein the cue sheet data represents the specific surgical process.

The present application relates to a kind of rotary inertial navigation digital twin systems and its construction method, including rotary inertial navigation digital twin physical model layer, rotary inertial navigation digital twin geometric model layer, multi-source information data acquisition layer, decision control layer, diagnosis and prediction analysis layer.Can complete the data information acquisition and transmission of rotary inertial navigation system entity, realize the association and interaction of twin virtual body and entity, can be realized using decision control module Iterative optimization of model parameters, finally in diagnosis and prediction analysis module realizes system overall operation state and the performance prediction and evaluation of digital twin inertial navigation system.

This application discloses a method for early warning processing of mechanical equipment, comprising: acquiring target working data of the target mechanical equipment within a preset time period; based on the construction objects and construction elements corresponding to each unit time period, performing predictive processing through virtual body models of machine groups corresponding to different construction objects to obtain a first benchmark value of the target mechanical equipment's early warning indicator for operation of the construction objects corresponding to each unit time period; obtaining a test statistic of the target mechanical equipment's operation of the construction objects corresponding to each unit time period based on the deviation between the first benchmark value and the first actual value of the target mechanical equipment's early warning indicator for operation of the construction objects corresponding to each unit time period; and, when the target test statistic is greater than or equal to a preset corresponding abnormal alarm threshold, executing an abnormal alarm prompt for the early warning indicator under the construction object corresponding to the target unit time period. This method enables rapid and effective abnormal early warning, improving the accuracy of early warnings.

The invention relates to the technical field of energy storage power stations, in particular to an energy storage power station fault protection method and system based on digital twinning. The scheme comprises the steps of obtaining a three-dimensional drawing of an energy storage power station, and forming a basic framework of a twin model according to the drawing; performing data entry and display according to the basic framework of the twin model; mapping the obtained voltage and current of the energy storage power supply to the operation state of the energy storage power station; according to preset battery charging and discharging historical data, a battery life estimated value is obtained and displayed; setting an optimal protection action setting value according to the battery life estimated value; and real-time judgment is carried out according to the optimal protection action setting value, and corresponding protection action data are stored in a twin system during protection action. According to the scheme, by constructing the virtual body and combining health analysis and fault monitoring, accurate analysis and judgment of the energy storage power station are achieved.

The present technology relates to an information processing device and an information processing method that make it possible to easily generate a virtual item to be attached to a moving virtual body in a virtual space. This information processing device comprises: an image acquisition unit that acquires image data of an autonomous moving body that takes a pose corresponding to an attached item; and an image processing unit that generates, on the basis of the image data, a virtual item that can be attached to a moving virtual body in a virtual space. The present technology can be applied to, for example, smartphones.

The present application relates to a kind of hydraulic system fault prediction method of forging hydraulic press based on digital twin system, it includes: S1, the geometric parameter of the hydraulic system of forging hydraulic press is acquired, and digital twin model is constructed;S2, the digital twin model of the hydraulic system of forging hydraulic press is realized by using DNN depth neural network based on the order reduction, and the parameterized model of the hydraulic system of forging hydraulic press is established;S3, the order reduction of the digital twin model of forging hydraulic press is completed, and the fault diagnosis and prediction of hydraulic system are realized.The present application adopts multiscale physical model, realizes the data environment interaction of physical space and virtual body space, finally realizes the intelligent decision and maintenance of forging hydraulic press.The present application can realize the fault diagnosis, online monitoring and performance optimization of hydraulic system, reach predictive maintenance, and then realize the development of virtual verification to virtual-real interaction full closed-loop optimization driven by data, comply with the development needs of intelligent equipment, provide new platform for the design and development and performance upgrade of forging equipment.

To increase the degree of freedom in setting a virtual viewpoint in a system that generates a virtual space image including a real image. [Solution] A virtual space image generation system (1) comprising a virtual space configuration data storage unit (12), a plurality of photographing units (52) arranged to surround a subject, a virtual space generation unit (21) that generates a virtual space from the virtual space configuration data, a virtual body position determination unit (22) that determines the position of a virtual body in the virtual space according to predetermined criteria, a virtual viewpoint setting unit (23) that sets a virtual viewpoint in the virtual space, an image acquisition unit (24) that acquires an image of the subject using a first photographing unit that captures the subject at an angle of view closest to the angle of view at which the virtual viewpoint captures the virtual body, an image display processing unit (24) that displays the image of the subject at the position of the virtual body, facing the virtual viewpoint directly, and a virtual space image generation unit (27) that generates an image capturing the virtual space including the image of the subject from the virtual viewpoint.

Disclosed are a method and apparatus for converting data of a medical image for a virtual procedure simulation, according to an embodiment. The data conversion method may comprise the steps of: receiving medical images obtained by capturing the body parts of a procedure subject; on the basis of the medical images, generating a virtual three-dimensional body model including virtual body parts respectively corresponding to the body parts; generating position coordinate data corresponding to the position of each pixel included in each of the medical images; generating a position dataset related to the positions of the virtual body parts by mapping the position coordinate data to the virtual three-dimensional body model; and determining whether to generate a predefined procedure effect event on the basis of a position of a virtual procedure tool moving according to a user input and the position dataset related to the positions of the virtual body parts.

The invention discloses a high-precision voltage measurement method for an intelligent voltage power meter, and relates to the technical field of electrical sensors, and the method comprises the steps: reckoning the time sequence state of a trend evolution vector, constructing a voltage behavior virtual body, and predicting the voltage characteristic change trend of a voltage waveform through the voltage behavior virtual body; comparing the time sequence consistency of the voltage characteristic change trend and the historical voltage record to obtain a consistency offset, jointly presuming the range crossing risk of the voltage waveform through the consistency offset and the trend evolution vector, and generating a range prediction indication quantity; and dynamically switching the measuring range of the voltage waveform according to the measuring range prediction indicating quantity, generating a correction waveform, executing period aggregation and amplitude-phase joint reconstruction on the correction waveform, and outputting high-precision measurement voltage. According to the innovative method of trend evolution mapping and construction of the voltage behavior virtual body, accurate prediction of voltage waveform characteristics is realized, dynamic range switching in the voltage measurement process is optimized, and the flexibility and precision of measurement are improved.

The invention discloses a ship unmanned aerial vehicle game guidance and control method for channel ice condition detection, and relates to the technical field of ship / unmanned aerial vehicle motion control research, and the method comprises the steps: building a ship three-degree-of-freedom nonlinear model and an unmanned aerial vehicle six-degree-of-freedom nonlinear model; designing a ship expected task point according to the actual waypoint, and generating an unmanned aerial vehicle task point according to the unmanned aerial vehicle detection radius and the water area width; taking the task point as an expected coordinate, constructing a local optimal motion strategy between the ship / unmanned aerial vehicle and the virtual body based on the Stackelberg game, and calculating a global optimal motion strategy according to the local optimal motion strategy; a position controller is designed, a ship local optimal strategy and the real-time position of the unmanned aerial vehicle are fused, and the postures of the two parties are converged through a master controller formed by a posture virtual controller and a posture controller; the ship and the unmanned aerial vehicle are driven to execute the optimal strategy through the synergistic effect of the position and attitude controller, and cooperative control is achieved; the marine engineering requirements of high-precision navigation and marine environment interference resistance can be met.

The application discloses a seamless line longitudinal action monitoring method based on digital twinning, which comprises the following steps: S1, establishing a special section type of a field seamless line; S2, collecting characteristic point data by using a temperature sensor and a displacement sensor; S3, establishing a finite element simulation model, and calculating the temperature, displacement and rail longitudinal additional force of the special section; S4, establishing a mapping model to obtain a mapping relationship from a physical database to a virtual database; S5, comparing the mapping data with data not participating in the establishment of the mapping model, and verifying the model; and S6, constructing a digital twinning virtual body completely equal to the special section of the seamless line, and interacting with the field seamless line. The application can judge the service state of the field seamless line in real time based on the digital twinning technology, and can simulate various maintenance measures of the seamless line, so that a maintenance and repair plan can be made more efficiently.

The invention discloses a virtual body envelope-based multi-scale intestinal torsion simulation method and system. The method comprises the following steps of: constructing an intestinal geometric model comprising a mucous membrane layer, a muscular layer and a plasma layer; adding a virtual enveloping body wrapping the intestinal tract geometric model, and applying external acting force to the virtual enveloping body to obtain deformation characteristics of the virtual enveloping body; substituting the deformation characteristics into the intestinal geometric model to obtain a macroscopic stress field, and calculating a reference feedback force of the intestinal geometric model in the macroscopic stress field; uniformly embedding discrete fiber bundle models in a stress concentration area of the intestinal tract geometric model; the damage rate of the fiber bundle model is calculated according to the overall stretching amount of the fiber bundle model; determining a correction coefficient through damage rate calculation, and correcting the reference feedback force by using the correction coefficient to obtain a tactile feedback force; through multi-scale coupling of virtual body envelope and discrete fiber bundles, synchronous and accurate simulation of macroscopic deformation visual authenticity and microcosmic damage tactile feedback in small intestine torsion simulation is realized.

The invention provides a calibration method, system and device for a vehicle braking starting point position and a medium. The calibration method comprises the steps that a vehicle body size configuration file is obtained; according to the vehicle body size configuration file, the vehicle body of the test vehicle is extended by a preset length in the movement direction to obtain a virtual vehicle body; the virtual vehicle body is used as a reference, the unified safety braking distance is used as a benchmark, the braking starting point position of the test vehicle is calibrated according to different test vehicle speeds and different target vehicle speeds, and the motion directions of the test vehicle and the target vehicle intersect. According to the invention, the actual collision between the test vehicle and the target vehicle is avoided, so that the safety risk is solved, and the brake starting point position which can be reached by the test vehicle at each speed point can be obtained.

The invention discloses a PTZ camera calibration method and device based on digital twinning and a storage medium, and the method comprises the steps: obtaining scene information collected by a PTZ camera for a current scene, constructing a digital twinning body corresponding to the current scene, and enabling the digital twinning body to comprise a PTZ virtual body corresponding to the PTZ camera; according to the motion information detected by the PTZ camera for the target object in the current scene, track prediction processing is carried out in the digital twin body, and a plurality of prediction tracks of the target object are obtained; controlling the cradle head virtual body to perform simulation detection processing on the movement process of the target object on the plurality of prediction trajectories to obtain a target simulation result; synchronously controlling the PTZ camera and the PTZ virtual body to move according to the target simulation result to obtain a control offset between the PTZ camera and the PTZ virtual body; and carrying out calibration processing on the PTZ camera according to the control offset. According to the scheme, the control efficiency and the control precision of the PTZ camera can be improved.

The application discloses a kind of multi-scale intestinal torsion simulation method and system based on virtual body envelope, method includes: constructing the intestinal geometric model including mucous membrane layer, muscle layer and plasma layer;Add virtual envelope body that wraps intestinal geometric model, obtain the deformation characteristics of virtual envelope body by exerting external force on the virtual envelope body;The deformation characteristics are substituted into intestinal geometric model to obtain macro stress field, and the reference feedback force of intestinal geometric model in macro stress field is calculated;Uniformly embedded discrete fiber bundle model in the stress concentration area of intestinal geometric model;According to the overall tensile amount of fiber bundle model, the damage rate of fiber bundle model is calculated;Determine the correction coefficient by damage rate calculation, and the reference feedback force is corrected to obtain tactile feedback force;The present application realizes the synchronous accurate simulation of macroscopic deformation visual reality and microscopic damage tactile feedback in small intestine torsion simulation by virtual body envelope and discrete fiber bundle multiscale coupling.

The invention discloses a stamping process simulation method for an inner plate of an automobile fuel tank cap based on digital twinning, which relates to the technical field of digital twinning stamping, and comprises the following steps of: executing analogue simulation and actual stamping trial-manufacturing based on a stamping process driving set, comparing analogue simulation data with stamping forming data, and performing interpolation expansion to form a deviation field; generating a mold wear load data set; adjusting process parameters according to the die wear load data set, performing point-by-point correction on the stamping digital twin initial virtual body, calculating a trace denudation amount, and generating a new version of stamping digital twin virtual body; and performing analogue simulation in the new-version stamping digital twin virtual body, and integrating the new-version analogue simulation data, the adjusted process parameters and the micro denudation amount into a stamping process simulation report. According to the method, the continuous evolution expression of the virtual die state is realized, and the simulation accuracy and decision effectiveness of the stamping process are improved.

The application discloses a ship unmanned aerial vehicle game guidance and control method for channel ice condition detection, relates to the technical field of ship / unmanned aerial vehicle motion control research, and comprises the following steps: establishing a ship three-degree-of-freedom and unmanned aerial vehicle six-degree-of-freedom nonlinear model; designing a ship expected task point according to an actual route point, and generating an unmanned aerial vehicle task point according to a detection radius of the unmanned aerial vehicle and a water width; taking the task point as an expected coordinate, constructing a local optimal motion strategy between the ship / unmanned aerial vehicle and a virtual body based on a Stackelberg game, and calculating a global optimal motion strategy according to the local optimal motion strategy; designing a position controller, fusing the ship local optimal strategy and real-time position of the unmanned aerial vehicle, and making attitudes of both sides converge through a total controller composed of an attitude virtual controller and an attitude controller; driving the ship and the unmanned aerial vehicle to execute the optimal strategy through a cooperative action of the position and attitude controllers, and realizing cooperative control; and the application can meet the marine engineering demand of high-precision navigation and resistance to marine environment interference.

The invention discloses a nuclear power DCS virtual body construction method, device and equipment and a storage medium, and relates to the technical field of virtual modeling of a nuclear power plant DCS. According to the method, virtual bodies of a mechanical structure, electrical hardware and a software system are established hierarchically and are assembled to form a system virtual body. According to the method, the nuclear power DCS virtual body can be efficiently and accurately constructed, the modeling efficiency and the model accuracy are remarkably improved, the full-life-cycle management capability is optimized, the decision support capability is enhanced, and the technical difficulty and the workload are reduced. Through hierarchical modeling, the virtual bodies can work cooperatively, the requirements of different stages of the whole life cycle of the nuclear power DCS are met, and powerful support is provided for intelligent operation and management of the nuclear power station.