92 results about "Particle simulation" patented technology

The invention belongs to the field of electromagnetic particle simulation, and relates to a vacuum confluence region electromagnetic particle simulation method, system, equipment and medium, and the method comprises the following steps: S1, constructing a particle simulation domain of an electric field and a magnetic field of a vacuum confluence region, injecting particles into the particle simulation domain, and carrying out the regional decomposition of the particle simulation domain to obtain a plurality of sub-domains; s2, acquiring charge density and current density of grid points in each sub-domain; discretizing a Maxwell equation set into a form of a Cx = D equation, substituting the charge density and the current density of the grid points in each sub-domain into the Cx = D equation, and solving the Cx = D equation by adopting a GMRES algorithm to obtain potential and vector magnetic potential distribution in each sub-domain; s3, the electric field intensity and the magnetic induction intensity of the grid points in each sub-domain are solved, the electric field and the magnetic field borne by the particles are obtained, and therefore the positions of the particles in the next time step in each sub-domain are determined; and S4, updating the electric field and the magnetic field borne by the particles in each sub-domain in the next time step.

The invention discloses a non-uniform and conformal grid-oriented electromagnetic particle adaptive simulation method and system, and relates to the technical field of electromagnetic particle simulation. The method comprises the following steps: performing non-uniform right-angle mesh generation based on a charged particle average free path, and identifying conformal mesh units; carrying out initialization by adopting macro particles; executing electromagnetic field propulsion, field interpolation, particle propulsion, charge current backfilling and collision simulation in each time step; and accelerated calculation is realized through a CPU and GPU hybrid parallel architecture. Through the method, the numerical simulation precision can be improved, the adaptability of complex geometry is enhanced, the coupling stability of the electromagnetic field and the particles is ensured, the information interaction between the field and the particles is improved, and the large-scale calculation efficiency is improved.

The invention discloses a one-dimensional plasma simulation method based on deep learning optimization and related equipment, and the method comprises the steps: firstly constructing a one-dimensional basic model containing specific parameters, and then constructing and training a neural network of a multi-layer sensor (MLP) structure for predicting a potential function; then, a particle simulation method (DL-PIC) based on deep learning optimization is executed. Under the condition that 1000 grid points are included, compared with a traditional particle simulation method (PIC), the simulation time of the DL-PIC neural network is shortened by about 33.37%. According to the invention, complex physical phenomena such as reflection oscillation caused by heat effect and space charges can be effectively processed, and the method has good expansibility. The method is not only suitable for one-dimensional simulation, but also can be popularized to higher-dimension and electromagnetic particle simulation. Therefore, the invention provides an efficient and accurate solution for plasma simulation research, and can be widely applied to the technical field of plasma simulation.

The invention discloses a self-adaptive Monte Carlo macro particle simulation method and system based on parallel computing, and relates to the technical field of particle simulation, and the method comprises the steps: initializing parameters, if the current step number is not the maximum step number, storing node data, balancing particle loading, and calculating charge density and battery density; using macro particles to represent a group of real particles, updating the positions and speeds of all the particles in parallel, and calculating new charge distribution; setting adaptive grid configuration, and dynamically adjusting grid density according to electric field intensity and local density of charge distribution; and based on the updated particle position and speed, evaluating and processing a collision event, storing collision data, re-calculating surface charge density data, adding 1 to the current step number, and circularly executing to finish simulation when the maximum step number is reached. According to the method, the accuracy of a simulation result is improved through the improved collision model, electrical discharge behaviors under different conditions are better predicted, and more reliable data support is provided for design and safety evaluation of high-voltage equipment.

The invention relates to the technical field of particle simulation, and discloses a particle collision method, device and equipment based on physical simulation and a storage medium, and the method comprises the steps: determining the current parameter of each particle based on the initial parameter and external force parameter of each particle in a particle system; detecting collision information between the particles and / or collision information between the particles and other objects in the particle system through a collision detection algorithm; and updating the target collision parameter of each particle based on the collision model, the current parameter and the collision information. Through the above mode, by considering the initial parameters and the external force parameters of the particles, the motion state of the particles under the stress effect is simulated more accurately, and the collision information between the particles and between the particles and other objects in the system is detected by adopting the preset collision detection algorithm, so that the simulation effect is more vivid; powerful technical support is provided for simulating complex physical phenomena, and the accuracy of the particle collision effect is improved.

The invention relates to a hydrogen production and refueling station hydrogen leakage range prediction method based on meshless particle method simulation, and belongs to the technical field of hydrogen energy safety and numerical simulation. Aiming at the problems that a traditional CFD grid method is poor in complex geometric boundary adaptability, low in calculation efficiency and insufficient in dynamic early warning capacity, a three-dimensional scene of a hydrogen production and refueling station is constructed by combining a geographic information system (GIS) and a building information model (BIM), a mathematical model is discretized by adopting a smoothed particle hydrodynamics (SPH) method, and the three-dimensional scene of the hydrogen production and refueling station is obtained. Real-time sensor data are integrated, and simulation is accelerated in parallel through a GPU. And carrying out numerical simulation of hydrogen leakage of the hydrogen production / hydrogen refueling station under multiple factors in combination with large eddy simulation, and generating high-precision simulation of evolution and distribution of a hydrogen leakage concentration field of a hydrogen production / hydrogen refueling station scene. The method has the advantages of being high in modeling speed, high in simulation precision, wide in applicability and the like, the problem of precise simulation of hydrogen leakage and diffusion under the complex geometric structure of the hydrogen production and refueling station is effectively solved, and reliable technical support is provided for safe operation of the hydrogen production and refueling station.

This application relates to a physical special effect rendering method performed by a computer device. The method includes: obtaining physical special effect data of physical special effect particles emitted by a particle emission plug-in in a previous frame; obtaining a first target instance obtained by instantiating a scene management class; invoking, through the first target instance, a scene manager of a particle simulation tool to calculate motion state information of the physical special effect particles in a current frame based on the physical special effect data in the previous frame; and updating the physical special effect data in the previous frame based on the motion state information of the current frame to render a physical special effect in the current frame.

The invention discloses a coal mine methane emission estimation method based on backward Lagrange random particle simulation. The method comprises the following steps: S1, acquiring satellite methane concentration monitoring data, meteorological data, EDGAR emission list data and GFEI global fuel development emission list data of a research area; s2, selecting a pixel as an observation point, obtaining an influence factor of methane emission of a virtual emission point pixel on the methane concentration of the observation point pixel through a backward Lagrangian random particle simulation model by utilizing meteorological data to reversely track the motion trail of particles, and constructing a source receptor matrix according to the influence factor; s3, the Bayesian methane emission estimation model carries out observation and prior constraint based on the objective function to obtain posterior emission data of the research area. According to the method, the source receptor matrix is constructed by using the motion trail of the meteorological data reverse tracking particles, and the Bayesian methane emission estimation model performs observation and prior constraint based on the target function to obtain posterior emission data of the research area, so that high-precision methane emission inversion estimation of the coal mine in the research area is realized.

The invention relates to the technical field of fire safety and simulation training, and discloses a rule-driven fire-fighting real smoke and real fire training simulation system, which comprises a data acquisition and modeling module, a rule driving module, a rendering output module and a training evaluation module. The data acquisition and modeling module is used for acquiring initial fire data and constructing a reference model of smoke diffusion and fire spreading; the rule driving module simulates the non-synchronous evolution process of the fire through a particle simulation algorithm, a time coordination rule and a feedback loop algorithm; the rendering output module is used for integrating the environment rendering data and the multi-factor propulsion mode and generating a training effect evaluation index; and the evaluation optimization module judges whether the simulation precision of the reference model reaches a preset standard or not according to the training effect evaluation index until a simulation result meeting a precision requirement is obtained. According to the invention, the reality and accuracy of fire-fighting simulation training are improved.

The invention discloses a proton dose information processing device and method and electronic equipment, and relates to the field of medical science and technology. The device comprises a matrix processing unit used for determining a compression matrix according to a physical information table; the particle simulation processing unit is used for simulating the transport behavior of target particles in a medium through a plurality of thread blocks and a plurality of particle stacks, each thread block comprises N threads, and the N threads are used for processing N particles in parallel; the plurality of particle stacks comprise a first type of particle stacks and a second type of particle stacks; and the dose processing unit is used for collecting dose deposition information of the target particles according to the conveying behavior of the target particles in the medium, and updating the compression matrix according to the collected dose deposition information. The technical problems that in the prior art, when a Monte Carlo method is used for proton dose calculation, massive particles need to be simulated to obtain accurate dose distribution, so that the calculation time is too long, and the calculation efficiency is low are solved.

The invention discloses a method for generating a particle accumulation body simulation model of natural three-dimensional shape characteristics of a building material. The method comprises the following steps: step 1, manufacturing a natural particle simulation model; the randomly generated three-dimensional coordinate control points are endowed with natural sphericity and roundness to obtain a natural particle simulation model; 2, making a particle accumulation body simulation model; the natural particle simulation model obtained in the first step is filled into a discrete element block mass, gravity deposition is applied to the discrete element block mass through a discrete element method, and a particle accumulation body simulation model is obtained. A solid foundation is provided for exploring the microscopic geometrical characteristics of the contact particle accumulation body and the macromechanical properties of civil engineering materials, and a new way is provided for efficiently generating a particle accumulation body database with accurate contact information.

The invention relates to the technical field of computer rendering, and discloses a dynamic effect processing method and device, electronic equipment and a program product, and the dynamic effect processing method provided by the invention simulates a flame effect in a virtual scene through combustion bitmaps of multiple cycles, and avoids uncertainty of a diffusion range caused by simulation of flame diffusion through particles. Meanwhile, as the combustion bitmap is used for simulating diffusion, flame diffusion simulation can be carried out without calculating the track and the drop point of each particle through a CPU, and the CPU pressure caused by the fact that a large number of particles in a particle system need to be simulated in the related technology is solved. In the rendering process, a map does not need to be added for each particle, the corresponding position in the virtual scene is directly rendered according to the combustion bitmap, the rendering process and the simulated flame diffusion process are separated, the occurrence of a large number of particles is reduced, and the load of the GPU can be reduced.

The present invention discloses a vehicle positioning method based on precision evaluation, including: S1, using a number of particles to simulate the motion pose of the vehicle, and calculating the weights of the particles according to the road sign conditions of the map road signs sensed by the vehicle's sensors, screening out the particle with the largest weight as the optimal particle, and taking the position value of the optimal particle as the position value of the vehicle; S2, calculating the predicted position value of the vehicle through probability; S3, calculating the difference between the position value of the vehicle obtained in S1 and the predicted position value of the vehicle obtained in S2, and taking this difference as the positioning precision evaluation value E t ; S4, performing resampling, selecting an appropriate number of particles and returning to S1 for estimating the vehicle position. The method of the present invention aims at the problems of particle degradation and particle decline of the particle filter algorithm, and performs particle resampling according to the positioning precision, so as to avoid the problems of particle degradation and particle decline, and improve the positioning precision and positioning efficiency.

The present invention discloses an automatic information recognition method and system for a fluorescent immunoassay analyzer, which relates to the field of data recognition technology. The automatic information recognition method for a fluorescent immunoassay analyzer includes the following steps: simulating the path of the original light propagating to the surface of the detection sample card, adjusting the original light path layout parameters based on the path simulation results; obtaining the light loss generated by the original light reflected by the optical element, and performing light loss compensation processing to generate an optimized light path after light loss compensation; identifying the sample information of the detection sample card according to the optimized light path, and matching the sample information with the central database. The present invention uses multi-particle simulation technology to evaluate the dispersion of secondary photons, providing a scientific basis for optimizing the light path design, and at the same time obtaining and compensating for the light intensity loss of the light after multiple reflections, thereby improving the uniformity of sample excitation.

The application provides a heterogeneous cooperative path planning method for a marine floating object target search task. A Parcel v2 particle simulator based on a Lagrange framework is used to predict the future trajectory and position of a plurality of particles according to real sea waves, ocean currents, wind fields and other information, and then a Parzen window method based on a Gaussian kernel function is used to obtain a target probability map. In the traditional GBNN method, the regional centroid and motion constraint are added to improve the external stimulation value of the neuron to plan the cooperative search path of the plurality of unmanned ships, so that the local optimum can be effectively avoided and the search efficiency is improved. A solar unmanned aerial vehicle is used as a communication relay of the plurality of unmanned ships, an optimal communication network connection is obtained by using a minimum spanning tree, and then the path of the unmanned aerial vehicle is planned. The application can improve the method for solving the marine search target of the plurality of unmanned ships, so as to improve the efficiency of the marine search target of the unmanned ships.

The invention discloses a GPU (Graphics Processing Unit) parallel thread block adjustment and kernel function scheduling optimization method and system. The method comprises the following steps: acquiring GPU equipment attributes and kernel function execution attributes; determining a feasible thread block size solution space of each kernel function based on GPU equipment attributes and kernel function execution attributes, and selecting a thread block size which enables the load balance degree evaluation model value to be maximum as optimal execution configuration of the kernel function; on the basis of the determined optimal thread block size of each kernel function, dividing an execution grid of each kernel function into a plurality of kernel function slices, and establishing a concurrent execution relationship between the kernel functions; a CUDA graph is constructed in a mixed mode according to the established concurrent execution relation between the kernel functions and data dependence; and by taking an actual model of particle simulation software as a test object, respectively comparing GPU occupancy rates before and after thread block adaptive adjustment, multi-stream concurrent scheduling and hybrid CUDA graph scheduling optimization, kernel function execution time and overall simulation efficiency, and outputting an optimized particle simulation result.

The invention discloses a slender beam fluid-solid coupling analysis method and device based on a finite mass point method and SPH. A structure is dispersed into beam mass points, a slender beam is simulated through a two-dimensional beam unit, fluid is simulated through SPH particles, coupling interface pressure transmission is simulated through a transmission unit, and coupling interface displacement coordination is simulated through a coupling unit. A finite mass point method is adopted for dynamic analysis, pure deformation and rigid body displacement of the two-dimensional beam unit are separated through virtual reverse motion, and then the internal force increment of the plane beam unit is calculated; an SPH calculation fluid model is adopted, and a discrete format of a fluid control equation, a tensile stability control method based on a Shepard Filter and a particle displacement correction technology and a leapfrog time integration scheme are given; an FPM-SPH interface coupling scheme is provided, a coupling interface particle arrangement method is given, a physical quantity corresponding relation between beam particles and fluid particles at an interface is established, and a two-dimensional beam fluid-solid coupling analysis framework is established. The method is simple and efficient in calculation, and overcomes the defects of existing research.

The invention provides a digital twin modeling method for a cement grinding process, which comprises the following steps of: simplifying cement grinding whole-process equipment, and setting a motion boundary of the equipment; and then connection among equipment is realized through a pipe section, a chute and a scraper, so that a virtual model of the whole process is established. Simulating a particle movement process and a crushing process based on a particle simulation technology; the method comprises the following steps: acquiring flow field information by coupling a computational fluid mechanics means and a particle simulation technology, solving by a computer to obtain a qualified product, and finally realizing result data visualization of the whole process of cement particle ore grinding. According to the digital twinborn modeling method, through full-process simulation, the problem that full-process collaborative optimization cannot be achieved for single module calculation in the past is solved, and meanwhile, based on comprehensive application of the particle simulation technology, the problems that simulation precision is poor and time is short in the past are solved.

The present invention discloses a method for simulating weakly compressible fluid smooth particles based on particle position correction, comprising the following steps: 1. Smooth particle modeling of weakly compressible fluid; 2. Smooth particle position correction; 3. Using a computer to input the corrected position vector of the i-th particle, and using a position-based Verlet algorithm to perform time iteration on each particle in the SPH particle model to obtain an updated particle flow field distribution; and 4. Obtaining fluid state parameters from the updated particle flow field distribution. The method of the present invention has simple steps and a reasonable design. By correcting the position of fluid particles, a uniform distribution of simulated particles is achieved without introducing physical parameters, resulting in better applicability to complex flows and improved stability and accuracy of subsequent simulation calculations.

The invention relates to a preparation and performance optimization method of a heat-conducting silica gel film based on aluminum nitride filler in the technical field of new materials, which comprises the following steps: acquiring an aluminum nitride filler particle image through a scanning electron microscope, and extracting particle size and shape characteristics from the image to obtain initial particle size distribution data; according to the initial particle size distribution data, a particle simulation algorithm is adopted to calculate the distribution mode of the filler in a silica gel matrix, and the position of a potential agglomeration area is determined; acquiring an image of a contact interface between the modified particle sample and a silica gel substrate, and judging an interface bonding strength index; simulating a heat transfer path between the modified particles and a matrix through an interface optimization algorithm to obtain optimized interface bonding parameters; adjusting a filler mixing ratio and stirring conditions according to the optimized interface bonding parameters; integrating the final performance data and the initial particle size distribution data by adopting a data fusion method, and judging a long-term reliability index; and processing the long-term reliability index through iterative circulation to obtain stable heat conduction efficiency configuration.

The application discloses a kind of SPH steady flow processing method and related equipment, method includes the input entrance pressure data is converted into entrance speed data;Entrance speed data is based on setting virtual particle;And the data information of fluid particle is updated by the interaction between virtual particle and the fluid particle to be processed, and fluid particle data is judged based on setting parameter threshold, and the particle field information of output is obtained.The application embodiment can be converted into entrance speed data by the entrance pressure data, and virtual particle is set to simulate fluid particle, reduce the speed shock and data noise caused by particle simulation calculation based on entrance pressure, reduce the accumulation of entrance particle simultaneously, improve the stability of entrance boundary, so as to improve the convergence speed and processing efficiency of steady flow simulation.The application can be widely applied in computer simulation and data processing technical field.

The invention discloses an implicit particle simulation analysis method for atmospheric pressure micro-scale arc discharge kinetic characteristics, and the method specifically comprises the steps: 1, carrying out the uniform grid division of a calculation region, and placing a plurality of charged simulation particles with initial positions and speeds in each grid; step 2, calculating charge density and current density on each grid node; 3, electric potential and electric field distribution on each grid node is calculated; 4, calculating the stress of the charged simulation particles and updating the coordinates and speed of the charged simulation particles; 5, calculating a new speed after collision based on a collision theory; and step 6, taking the updated coordinates and speed as the coordinates and speed in the step 2, and repeatedly executing the steps 2-6 in a time step until a set number of iterations is reached. According to the method, the problem that simulation time consumption is remarkably increased due to the fact that the space-time step length must be small enough to distinguish the Debye length and the oscillation period of electrons in the existing simulation technology is solved.

Approaches presented herein provide for the generation of images involving one or more particle simulations to represent visual features or objects such a smoke or fire. Translucent sprites having similar material properties can be grouped, and a single intersection of a traced ray determined with respect to a boundary of the group. A single call to a hit shader (or other such component) can be performed for the sprite group as a whole. The individual sprites can be reoriented in the hit shader as appropriate, such as with respect to the direction of the traced ray or orientation of a main camera used for the image, but also to account for reflections, refractions, diffractions, or other such secondary effects. Since the sprites have similar material properties, the locations of the intersected sprites of the group can be used to determine and blend color values for the sprites, to be returned as a single color value for the ray with respect to the entire sprite group.

The invention discloses an electron accelerator bunching system optimization design method for a new-generation positron-positron collision machine replacement injection scheme, and belongs to the field of electron beam injectors. According to the method, a genetic algorithm is adopted, and the output beam bunching length and energy divergence of a bunching system serve as fitness functions; the optimization target is that the beam bunch length and the energy divergence are converged to the minimum at the same time, and a preliminary design result of beam bunching system layout and element parameters is obtained; then, beam dynamics software is used for further carrying out multi-particle simulation, a preliminary design result obtained by the genetic algorithm is verified, constraint conditions in the multi-target genetic algorithm are continuously corrected, iterative computation is carried out, and through multiple times of iterative computation, a multi-particle model is obtained; the optimal design result of the electron accelerator bunching system layout and elements meeting the clash ring injection requirement is obtained; according to the method provided by the invention, the optimal design result of the electron accelerator bunching system layout and element parameters meeting the clash ring injection requirement can be quickly obtained.

The embodiment of the invention provides a single-particle simulation acceleration method based on multipoint fault injection, and the method comprises the steps: dividing the single simulation duration of a register into a plurality of time intervals, and setting a check point at the end moment of each time interval; when the error rate of the register is smaller than or equal to a preset error rate, determining a first fault injection quantity according to the error rate of the register; a selection step is executed, and the selection step comprises the step of selecting injection points, where faults are not injected, of the registers with the corresponding number as points to be injected according to the first fault injection number; performing multi-point fault injection on a point to be injected, and performing primary simulation on the register; and if the integrated circuit does not have the system fault at each check point, ending the fault injection of the point to be injected, and turning to the selection step until the injection points of the register are all injected with the fault. According to the embodiment of the invention, the simulation efficiency is improved on the basis of ensuring the simulation accuracy and the simulation coverage rate.

This invention discloses a simulation method for a finite-space gas leakage particle system based on velocity field pre-calculation, comprising the following steps: obtaining physical field pre-calculation results from finite element gas simulation software, the physical field pre-calculation results including non-uniform mesh data; homogenizing the non-uniform mesh data to obtain homogenized mesh data; performing coordinate axis transformation between the leakage source location and the simulation scene location; calculating velocity field data based on the homogenized mesh data, and driving the gas diffusion particles to perform motion simulation based on the velocity field data. This invention, by obtaining pre-calculation results through finite element gas simulation software, homogenizing the non-uniform mesh data, and calculating velocity field data based on the homogenized mesh data to drive the gas diffusion particle simulation, can effectively improve the current situation of gas simulation systems characterized by complex data processing algorithms, large computational load, poor simulation results when the mesh distribution is uneven, and poor data visualization.

The invention discloses a method for quantitatively characterizing three-dimensional parameters of surface particles of a polymer-based nanoparticle composite material. Comprising the following steps: acquiring a scanning electron microscope backscattered electron image of a sample; generating particle simulation back scattering electron images with different three-dimensional sizes and different depths on the surface layer of the material; respectively extracting image data of particles in the scanning electron microscope back scattering electron image and the Monte Carlo simulation back scattering electron image; respectively constructing numerical models of particle back scattering electron image data simulated by the Monte Carlo method and particle three-dimensional size and depth; predicting to obtain the three-dimensional size and depth data of the particles; and combining the predicted particle depth data with the two-dimensional coordinates of the particles in the scanning electron microscope back scattering electron image to obtain the three-dimensional space positions of the particles. The method is suitable for providing reliable data support for uniformity evaluation of surface particles of the polymer-based nanoparticle composite material, material performance optimization and industrial quality control.

This invention provides a method, apparatus, electronic device, and medium for determining contact force in particle motion simulation, belonging to the field of particle simulation. The method includes: acquiring a particle model to be simulated, the particle model including multiple nodes; performing surface reconstruction processing on the surface of the particle model to obtain a reconstructed surface; setting multiple background points on the reconstructed surface; for a target particle model, determining the contact force generated by other particle models on the target particle model based on the background points of the reconstructed surface of the target particle model and the nodes of other particle models; and performing particle motion simulation on the target particle model based on the contact force. This invention improves computational efficiency while ensuring the accuracy of particle simulation by performing surface reconstruction on the mesh surface of the particle model to obtain a smooth reconstructed surface, and then setting multiple background points on the reconstructed surface. The contact force is solved by the relationship between the background points and nodes.

The application discloses an implicit particle simulation analysis method for atmospheric pressure micro-scale arc discharge dynamics characteristics, and specifically comprises the following steps: step 1, uniformly dividing a calculation region into grids, and placing a plurality of charged simulation particles with initial positions and velocities in each grid; step 2, calculating charge density and current density on each grid node; step 3, calculating potential and electric field distribution on each grid node; step 4, calculating force on the charged simulation particles and updating coordinates and velocities of the charged simulation particles; step 5, calculating new velocities after collision based on collision theory; and step 6, taking the updated coordinates and velocities as the coordinates and velocities in step 2, and repeating steps 2-6 in a time step until a set iteration number is reached. The application solves the problem that in the prior art simulation technology, time and space steps must be small enough to distinguish Debye length and oscillation period of electrons, thereby significantly increasing simulation time.

The invention discloses a low-pressure plasma particle simulation method based on a variational auto-encoder, and the method comprises the following steps: firstly, building a plasma particle model which is used for generating a data set needed by neural network training; constructing a neural network framework based on a variational auto-encoder to reconstruct a source field of the model and derive a corresponding solution field; designing a loss function according to a closure relationship of the neural network, and optimizing hyper-parameters of the neural network; and training the network until the loss function converges to a predetermined threshold. According to the method, the source field of the plasma particle model can be accurately reconstructed, and the solution field can be accurately solved. Compared with a traditional particle simulation method based on a neural network, the problems that a complex source field is difficult to express and the equation solving precision is insufficient are effectively solved, and the accurate mapping relation can be efficiently trained through limited sample data.