22 results about "Motion boundary" patented technology

This invention discloses a performance simulation processing method and system for triboelectric nanogenerators. The method involves collecting physical parameter data sets and structural parameter data sets of the triboelectric nanogenerator device; defining material regions, motion boundaries, and load interfaces in the three-dimensional geometric model of the triboelectric nanogenerator; setting external load parameter data sets and environmental frequency data sets as coupling boundary conditions in a multiphysics coupling model; performing finite element numerical simulation to obtain output characteristic data sets, generating key parameter data subsets; constructing a multi-objective optimization model based on the key parameter data subsets and output characteristic data sets, and setting optimization objective weights and constraints; obtaining an optimized structural parameter data set; updating the optimized structural parameter data set to the three-dimensional geometric model of the triboelectric nanogenerator, and performing judgments until the convergence criterion is met. This invention can significantly improve the targeting of structural design and the optimization convergence efficiency.

This invention relates to the field of motion monitoring technology and discloses a detection system for an NFC behavior detection wristband. The system includes an initial model determination module, which determines the initial motion monitoring model by having the wristband touch the first NFC node; a multi-model matching analysis module, which analyzes the matching of the initial motion monitoring model and multiple candidate models with the current motion state to obtain weight change results; a candidate boundary determination module, which performs statistical analysis based on weight changes to determine candidate boundaries for motion state switching; an anchor point backtracking correction module, which backtracks and corrects previous motion data when the NFC confirmation node is touched to determine the actual motion boundary; and a monitoring mode update module, which updates the motion monitoring model based on the actual motion boundary. By combining NFC technology and multi-model dynamic matching, motion state monitoring and mode switching are achieved, capturing changes in motion state in real time and automatically adjusting the monitoring model, thereby improving the accuracy and automation of motion monitoring.

The invention discloses a millimeter wave radar point cloud moving target segmentation method based on a layered space-time network. The method comprises the following steps: step 1, obtaining a radar point cloud sequence data set; 2, constructing a layered space-time consistency moving target segmentation network HSTC-MoSeg, wherein the layered space-time consistency moving target segmentation network HSTC-MoSeg comprises a layered context attention block, a space adaptive point convolution module and a time consistency enhancement module; 3, training the improved model and obtaining a test result; and 4, performing an ablation experiment to verify the effectiveness of each module. According to the method, local and global semantic contexts are balanced through the hierarchical context attention block, and the problem of unbalanced feature expression caused by uneven point cloud density is solved; local aggregation of density robustness is realized through spatial adaptive point convolution, and feature degradation of a sparse region is reduced; through a time consistency enhancement module, the segmentation consistency is enhanced by using cross-frame time information, and the jitter of a motion boundary is inhibited. Experiments on a RadarMOSEVE data set show that the method provided by the invention is obviously superior to the existing method in indexes of IoU-Avg, F1-Avg and Movin-F1, and the accuracy and robustness of radar point cloud moving target segmentation are effectively improved.

The application relates to a method and device for estimating a ventricular wall motion based on an adaptive regularization optical flow model, belonging to the technical field of ultrasonic image processing. The method is characterized in that: firstly, the obtained optical flow vector is analyzed through two-dimensional wavelet analysis and function mapping to obtain motion boundary information of the motion field relative to sudden change; secondly, the sudden change motion boundary information is adaptively fed back to the optical flow calculation model to correct the regularization coefficient of the smoothing term and recalculate the optical flow field; finally, the optical flow calculation process is repeated until the wavelet high-frequency component of the optical flow field converges; the method reflects the gradient difference between the myocardial ventricular wall and the surrounding tissue in the regularization coefficient, thereby improving the accuracy of motion estimation.

The invention discloses a performance simulation processing method and system applied to a friction nano-generator. The method comprises the following steps: acquiring a physical parameter data set and a structural parameter data set of a friction nano-generator device; defining a material area, a motion boundary and a load interface in the three-dimensional geometric model of the friction nano-generator; setting an external load parameter data set and an environment frequency data set as coupling boundary conditions in the multi-physics field coupling model; finite element numerical simulation is executed to obtain an output characteristic data set, a key parameter data subset is generated, a multi-target optimization model is constructed according to the key parameter data subset and the output characteristic data set, and optimization target weights and constraint conditions are set; obtaining an optimized structure parameter data set; and the optimized structure parameter data set is updated to the three-dimensional geometric model of the friction nano-generator, and judgment is carried out until the convergence criterion is met. According to the method, the pertinence of the structural design and the optimization convergence efficiency can be remarkably improved.

The application discloses a small Reynolds number liquid film flow simulation method, which is based on a flow physical model, derives normal stress and shear stress balance conditions and motion boundary conditions of a liquid film surface under the action of gravity, airflow shear force and evaporation effect, and carries out non-dimensionalization and simplification on wall surface non-slip boundary conditions, flow mass equation and momentum equation and liquid film surface boundary conditions; aiming at small Reynolds number flow, the method is based on long wave theory to derive a differential equation of liquid film thickness evolution with time and space under the synergistic influence of gravity, airflow shear force and evaporation effect; the differential equation is subjected to weak nonlinear evolution analysis of wave, the change relationship of wave instability growth rate with gravity, airflow shear force and evaporation effect is obtained, and a change image of the influence of airflow shear force and evaporation effect on the liquid film wave instability growth rate is given.

This invention discloses a multi-axis cooperative motion control system and method for industrial robots, relating to the field of robot control technology. The system includes a data acquisition module, a machining constraint processing module, a constraint matching module, a conflict relationship generation module, a constraint arbitration module, and a motion reconstruction module. The data acquisition module acquires the machining trajectory, tool status, axis motion status of each joint axis, and current machining segment number in the surface grinding machining program. The machining constraint processing module generates a set of machining constraints including maintenance-type machining constraints, amplitude-limiting deviation-type machining constraints, substitution adjustment-type machining constraints, and axis motion boundary constraints. The constraint matching module calculates the execution requirements and matches them with the axis motion boundary constraints. The conflict relationship generation module generates a machining constraint conflict relationship table. The constraint arbitration module generates machining constraint arbitration results. The motion reconstruction module generates local multi-axis motion reconstruction instructions based on these results. The system can transform machining constraint conflicts in surface grinding into executable multi-axis motion control results.

The invention discloses an industrial robot software reliability test profile generation method and device based on a large model and operation data, and a storage medium. The method comprises the following steps: collecting multi-modal data of an industrial robot in actual operation; on the basis of the aligned multi-modal data, segmenting a continuous data stream into independent motion segments according to a software event or a motion boundary, and constructing a feature representation for describing an event-response relationship; based on the extracted feature vectors, constructing a software event-motion response association model, and identifying a typical operation mode and an abnormal mode; and based on the obtained correlation model analysis result, carrying out inductive reasoning and probabilistic modeling by utilizing a large model, and generating a JSON format test profile. According to the method, low-frequency and hidden time sequence defects and logic errors can be efficiently and automatically found, and the test coverage rate and the fault reproduction capability are remarkably improved.

This application relates to a motion capture method, device, equipment, and medium for ice hockey passing and control training. The method includes: acquiring raw motion data from an inertial measurement unit (IMU), synchronizing and cleaning it to obtain a synchronization data matrix; constructing an initial spatiotemporal graph using IMUs as nodes and spatial relationships as edges; generating weight information using a LASSO feature selector, and weighting it to obtain an updated spatiotemporal graph; inputting the updated spatiotemporal graph and weights into a graph neural network for synchronous inference of motion segmentation, category, and quality assessment information; decoding the motion boundaries and category labels using the Viterbi algorithm; inputting the data into a scoring regression model to calculate a technical quality score, and outputting the motion analysis results. This method can accurately capture ice hockey passing and control motions, achieving integrated motion segmentation, classification, and quality assessment, thus improving training analysis efficiency.

This application relates to a method for simulating adhesive leveling, a method for determining adhesive bonding process parameters, and an apparatus. The method includes: constructing an adhesive leveling simulation computational domain based on the geometric parameters and adhesive properties of the target process model; the computational domain includes a first bonding wall, a second bonding wall, and a fluid domain located between the first and second bonding walls; dividing the fluid domain into a first edge layer region, an intermediate deformation region, and a second edge layer region along the direction of the distance change between the first and second bonding walls; wherein the first and second edge layer regions use boundary layer meshes with unchanged topology, and the intermediate deformation region uses a dynamic meshing method for mesh updating; simulating the bonding motion based on preset motion boundary conditions, and performing the simulation based on a gas-liquid two-phase interface tracking model. This method can improve the computational efficiency and accuracy of dynamic leveling simulation of the adhesive under pressure while ensuring computational stability.

This invention relates to the field of weeding equipment control, and particularly to a method and system for controlling the travel speed of physical weeding equipment. It includes: acquiring signals of the spatial distribution of the work area to be worked on and constructing a parameterized task space model; extracting the projection vector relationship of weed feature clusters within the motion boundary constraints of the work space; determining the frequency of spatial task execution based on the projection vector relationship, and determining the minimum task cycle by combining real-time data throughput rate and physical response rate; determining a time delay term based on the installation distance between the forward sensing module and the controlled operating system and the real-time feed rate; and generating a feed rate control command based on the minimum task cycle and the time delay term to adjust the travel speed. Through feedforward spatial topology pre-sensing and kinematic constraint calculation, adaptive speed adjustment for non-uniform weed distribution is achieved, avoiding actuator saturation and logic accumulation, and improving weeding accuracy and work efficiency.

This specification relates to the field of circuit breaker simulation technology, and more particularly to a method and apparatus for simulating the dynamics of a circuit breaker. The method for simulating the dynamics of a circuit breaker includes: constructing a first multibody dynamics model of the transmission mechanism in the circuit breaker; extracting first motion boundary conditions for a target interface based on the global simulation results of the first multibody dynamics model; constructing a finite element model of the target interface; obtaining first local simulation results of the finite element model based on the first motion boundary conditions; constructing equivalent nonlinear mechanical elements based on the first local simulation results; updating the first multibody dynamics model based on the nonlinear mechanical elements to obtain a second multibody dynamics model; and obtaining the dynamics simulation results of the transmission mechanism based on the second multibody dynamics model and the finite element model. The embodiments in this specification can improve the accuracy of dynamics simulation of circuit breaker transmission mechanisms.

The application discloses a laser limiter, and relates to the technical field of laser precision positioning, which comprises a geometric perception module, a reflection analysis module, an incidence optimization module, a laser detection module, a limiting coordinate calculation module and a limiting control response module; geometric boundary information at the end of a target moving component is collected to construct a parameter set containing a normal vector and a curvature; laser ray tracing and reflection risk factor analysis are combined to dynamically adjust the wavelength, divergence angle and incidence angle of a laser source, so that the laser beam can be stably incident; the laser detection module monitors the change of signal strength in real time, generates a space truncation judgment value, and is fitted with a theoretical intersection position to obtain actual limiting coordinates; the limiting response is triggered according to the change of the receiver signal to control the moving component to accurately stop at a target position; the application has the advantages of high precision, high adaptability and non-contact, and is particularly suitable for the accurate limiting control of a moving boundary in a micro-scale space.

This invention provides a method and system for controlling the production of silicone sealant based on digital twins. The method includes: simulating the flow field evolution in a digital twin stirring model using impeller motion state data as motion boundary conditions, combined with static boundary conditions and initial flow field conditions, to obtain the flow state distribution relationship of the sealant within a physical stirring device; constructing a state evolution model of the sealant during the mixing process based on the flow state distribution relationship; predicting the stirring intervention strategy indicated when the sealant reaches the target mixing state based on the state evolution model; controlling the physical stirring device to perform operations based on the stirring intervention strategy; updating the motion boundary conditions based on the operating parameters of the physical stirring device after the operations; simulating the flow field evolution and state evolution prediction based on the updated motion boundary conditions; iteratively optimizing the stirring intervention strategy until the target mixing state is met, at which point the physical stirring device is stopped. This invention improves the product quality of silicone sealant during the production process.

This invention discloses a method for analyzing table tennis training movements based on multi-source information fusion. It employs at least two video sources, a nine-axis posture sensor at the trainee's wrist, and an audio source to acquire training process information. After unified time synchronization, frame alignment, and preprocessing, a YOLO-based detection and keypoint extraction module outputs bounding boxes for the trainee, racket, and table tennis ball, as well as keypoints on the human body. A nine-axis posture analysis module outputs posture sequences and motion features, while an audio event detection module outputs peak values ​​for ball impact and table contact. A multi-source feature matrix is ​​then constructed and input into an improved TriDet temporal motion localization model to obtain the motion category, start time, end time, and confidence level. Finally, the method outputs training movement analysis results, comprehensive evaluation indicators, and training suggestions. This approach improves the accuracy of motion boundary localization, the accuracy of ball impact recognition, and the comprehensiveness of training evaluation, and is suitable for edge deployment.

The invention discloses a vehicle-mounted radar multi-target track-before-detect method based on multi-coordinate system collaboration, which comprises the following steps of: firstly, establishing a four-dimensional discrete measurement space by introducing azimuth angle speed according to acquired multi-frame measurement data, discretizing a state space according to the four-dimensional discrete measurement space, mapping a discrete state originally in an antenna coordinate system to a unified navigation coordinate system, and carrying out multi-target track-before-detect on a vehicle-mounted radar. The method comprises the following steps: deducing a state transition range of a previous frame by using a moving boundary constraint strategy, converting states in the state transition range into an antenna coordinate system to accumulate a value function, finally obtaining a candidate target state set based on a preset detection threshold, screening an optimal candidate state from the candidate target state set, and finally obtaining the optimal candidate state. And carrying out track backtracking to obtain a target estimated track. According to the invention, effective detection and tracking of multiple targets by the vehicle-mounted radar can be realized under the condition that the radar platform moves and the prior information of the targets is unknown.

Real-time neural video codecs face significant latency and energy bottlenecks due to pixel-level grid sampling, which requires irregular, fine-grained memory accesses and limits efficient hardware acceleration. To address this, a sub-tile-based grid sampling technique is disclosed herein. The technique determines super tile sizes using motion vector gradients, neural network parameters, and available on-chip memory. A super tile is split into sub-tiles by detecting motion boundaries through motion vector analysis, where a sub-tile has homogeneous motion vectors. For each sub-tile, a reference bounding box is computed to enable efficient block transfers of reference data, and per-pixel metadata is generated for feature interpolation. The pipelined, parallelizable solution reduces number of memory accesses and computational overhead, compared to existing pixel-based techniques.

The invention discloses a laser limiting stopper, which relates to the technical field of laser precision positioning and comprises a geometric perception module, a reflection analysis module, an incidence optimization module, a laser detection module, a limiting coordinate calculation module and a limiting control response module. According to the method, geometric boundary information of the tail end of a target moving part is collected, a parameter set containing a normal vector and curvature is constructed, laser ray tracing and reflection risk factor analysis are combined, the wavelength, the divergence angle and the incidence angle of a laser source are dynamically adjusted, and stable incidence of a laser beam is ensured; the laser detection module monitors the signal intensity change in real time, generates a space truncation judgment value, and fits the theoretical intersection point position to obtain an actual limiting coordinate; limiting response is triggered according to the signal change of the receiver, and the moving part is controlled to accurately stop at a target position; the method has the advantages of high precision, high adaptability and non-contact type, and is particularly suitable for precise limiting control of a motion boundary in a micro-scale space.

The invention discloses a fluid-structure interaction simulation method, system and equipment based on force balance iteration. The method comprises the steps that in each time step of a fluid-solid coupling simulation model, an iteration process with dynamic balance of acting force and fluid reacting force as a convergence target is executed; the process comprises the following steps of: making an initial assumption on the axial speed of a clutch friction pair in a current time step; cFD solving is carried out based on the initial hypothesis, pressure distribution of a fluid domain is obtained, and the fluid reaction force of the pressure distribution acting on the friction pair is calculated; comparing the acting force representing the actual hydraulic control with the calculated fluid reaction force; if the difference value meets the preset convergence condition, judging that the current speed hypothesis is correct, and entering the next time step; if the difference value does not meet the convergence condition, the assumed value of the axial speed is updated until the convergence condition is met, and the problem that in traditional fluid-solid coupling simulation, the acting force cannot be directly used as the motion boundary condition is solved.

The invention relates to a mechanical arm control method and computer equipment, relates to the technical field of robots, and can effectively improve the operation safety of a mechanical arm. The method comprises the following steps: for a mechanical arm used for executing preset operation in a current control period, acquiring kinematics data of the mechanical arm; according to the kinematics data, the three-dimensional mechanical state of a tail end tool on the mechanical arm is determined, and motion constraint parameters used for constraining three-dimensional motion of a mechanical arm joint are obtained; predicting an expected pose of the end tool in the next control period based on the motion constraint parameters and the three-dimensional mechanical state; under the condition that the expected pose exceeds the motion boundary of the end tool, determining a target joint angle meeting a joint rotation range; and based on the target joint angle, the tail end tool is controlled to move in the movement boundary.

This invention provides a robot dynamic obstacle avoidance method and robot based on swarm intelligence. The method includes: dividing the space into a near-field avoidance zone, a mid-field interaction zone, and a far-field guidance zone based on the robot's current pose and environmental perception data; performing obstacle avoidance search based on obstacle information from the first swarm intelligence and the near-field avoidance zone to obtain a safe movement boundary; performing obstacle bypass search based on obstacle information from the second swarm intelligence and the mid-field interaction zone to obtain a trend guidance direction; and performing obstacle crossing search based on obstacle information from the third swarm intelligence and the far-field guidance zone to obtain a global reference path; performing asynchronous coordination and spatiotemporal coupling based on the safe movement boundary, the trend guidance direction, and the global reference path to obtain the optimal obstacle avoidance trajectory; and mapping the optimal obstacle avoidance trajectory into linear velocity and angular velocity components based on motion constraints to control the obstacle avoidance motion. This invention improves the stability of autonomous obstacle avoidance by the robot in complex dynamic environments.

This application relates to a method, system, device, and medium for simulating brine density flow based on LBM (Liquid Blassler Model). The method includes: spatiotemporally discretizing the fluid computational domain to generate fluid nodes and solid nodes, and constructing velocity distribution functions and salinity distribution functions on all fluid nodes; performing collision migration calculations on the velocity and salinity distribution functions to obtain migrated velocity and salinity distribution functions; performing bounce correction on the velocity and salinity distribution functions pointing towards the solid boundary, and then calculating the velocity field, pressure field, and salinity concentration field for the current simulation time step; repeating the collision, migration, boundary correction, and macroscopic quantity calculation process until the preset simulation termination condition is met, generating simulation results. This method effectively overcomes the technical limitations of traditional LBM in simulating stratified flow problems driven by soluble components and under moving boundary perturbations.