30 results about "Virtual particle" patented technology

The invention relates to the technical field of computational mechanics and geological disaster simulation, and discloses a full-process numerical simulation method suitable for simulating continuous medium damage to discontinuous medium movement. The invention provides a novel chain-type disaster simulation method for solving the problems that calculation efficiency and large deformation precision are difficult to consider at the same time and the evolution process of a slope from a continuum to a fragmented body cannot be dynamically reflected in the prior art. The core of the method is that a dynamic criterion is set based on a unit real-time damage variable, a failed finite element (FEM) unit is adaptively converted into smoothed particle hydrodynamics (SPH) particles, and the physical state of the particles is accurately mapped; and a virtual particle coupling algorithm is adopted to process a two-domain interface, so that bidirectional transmission of mechanical parameters is realized. The method is executed circularly, the whole process of'continuous deformation-fragmentation flow 'of the side slope is simulated dynamically, high-precision integrated simulation of a'seismic source-propagation-response-movement' disaster chain in the same frame is achieved, and an efficient tool is provided for disaster risk assessment and prevention and control.

The invention discloses a beam debugging method, device and equipment for a particle accelerator and a medium, relates to the technical field of accelerator debugging, and aims to enable each iteration process to have clear data support and ensure the accuracy of a beam debugging result by splitting an accelerator beam debugging process into a stage-cured reproducible process. The method comprises the following steps: creating flow configuration information of a particle accelerator according to a beam debugging task; on the basis of setting a debugging target, performing iterative debugging on the particle accelerator by using the process configuration information so as to generate setting information of a control variable according to an observation variable obtained by each iterative debugging; applying the setting information of the control variable to the actual particle accelerator and / or the virtual particle accelerator to obtain the current beam state output by the actual particle accelerator and / or the virtual particle accelerator; and if the iteration debugging process meets the iteration termination condition, generating a first beam debugging result according to the current beam state.

The invention discloses a debris flow surface SPH particle adaptive processing method and a debris flow real-time simulation method. The invention provides a debris flow surface SPH particle adaptive processing method for overcoming the defect that surface particles are easily misjudged in the prior art. A particle density dynamic threshold is used as a surface particle identification standard, and the optimized dynamic threshold dynamically balances and controls debris flow characteristics to make a judgment contribution to the surface particles by using a real-time velocity gradient, a density gradient and a weight. Neighborhood virtual particles are randomly generated around the mass center of the surface particles to support kernel calculation, and the density and speed attributes of the virtual particles are limited. The debris flow real-time simulation method is realized by utilizing a self-adaptive processing technology. According to the optimization scheme, SPH-DEM coupling is adopted, heterogeneous units form a unified SPH framework, hydrodynamic force is calculated through an SPH method, contact force is calculated through a DEM method, and bidirectional coupling force calculation is completed. An SPH method is realized by adopting a Niagara particle system, and a digital twinborn platform foundation of numerical simulation and visual integrated simulation is constructed.

The present application relates to intelligent manufacturing and production scheduling technical field, specifically for turning and milling machining center production scheduling management system;Contain data acquisition, particle mapping, potential field construction, evolution calculation and scheduling generation module;System obtains order and resource state, maps the order into virtual particle flow with spin attribute, and converts the resource into gravitational potential well;Its core is based on the principle of free energy minimization, driving particles in multidimensional space-time potential field to carry out gradient evolution;When the total energy of the system converges, the particle steady-state coordinates are locked to generate the schedule;The present application converts discrete scheduling into physical field energy minimization problem, uses gradient guidance instead of blind search, and solves the problem that static algorithm is difficult to balance calculation depth and response speed.

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 a directed distance field particle shape representation processing method, system and platform based on a neural network. According to the core technology principle of the particle mechanical modeling and simulation method based on the neural network coding directed distance field, three-dimensional space coordinates are mapped into directed distance values (SDF) through multi-layer sensor (MLP) neural network learning, and therefore particles in any complex shape are implicitly represented; multi-shape unified modeling and virtual particle generation are realized by introducing a potential coding mechanism, and efficient surface projection and contact detection are realized by adopting a gradient descent and ray search combined method; finally, the trained NetSDF model and a discrete element method (DEM) are seamlessly integrated, and efficient simulation of the large-scale particle system is achieved through acceleration. The method breaks through the limitation of the traditional shape representation method in the aspects of precision, memory and computational efficiency, and provides a brand new solution for computational modeling of the granular material.

The application discloses a video encryption method and device and a computer storage medium, and relates to the field of video encryption. The method comprises the following steps: calculating a spatial gradient amplitude and a motion vector field based on three continuous frames of an original video, calculating a motion activity to generate an activity tensor based on the two, constructing a complex seed-driven four-dimensional hyperchaotic mapping based on the activity tensor and a video resolution to generate three synchronous pseudo-random sequences, forming a heterogeneous encryption unit set based on the activity and a local Shannon entropy and an edge density product and combining dynamic modulation of the first pseudo-random sequence, mapping each heterogeneous unit into a virtual particle, constructing a chaotic potential field by the second pseudo-random sequence to simulate a virtual particle trajectory, and realizing pixel order rearrangement according to the trajectory, and generating a diffusion mask based on the third pseudo-random sequence to perform cross-frame XOR feedback diffusion on the result of the permutation. The application improves the security of video encryption.

The invention relates to the technical field of river management, in particular to a plain river network pollution path reverse tracking and tracing method and device and related equipment. The method comprises the following steps: detecting a first detection concentration of a target pollutant based on a target position, and determining the number of a plurality of virtual particles to be released and an initial particle concentration; releasing a plurality of virtual particles at the target position, and performing traceability tracking on the plurality of virtual particles based on a virtual river network corresponding to the target drainage basin, the target position and the initial particle concentration of each virtual particle to obtain particle traceability information, the particle traceability information comprises a termination position of each virtual particle when a traceability termination condition is satisfied, and a plurality of traceability positions of each virtual particle between the target position and the corresponding termination position; the traceability termination condition comprises that the particle concentration of the corresponding virtual particle is greater than a concentration threshold; and pollution path information is determined according to the particle traceability information. According to the invention, the accurate pollution path can be rapidly obtained.

The application provides an industrial production Internet of Things data anomaly detection method, medium and system, belongs to the technical field of industrial production Internet of Things, and establishes a multidimensional data set by collecting industrial equipment sensor data and preprocessing, constructs a dimension reduction characteristic data set by using principal component analysis and mutual information algorithm, compensates for data missing by using a virtual sensor algorithm to form an extended data set, converts the microscopic state of massive high-dimensional sensor data into a macroscopic thermodynamic parameter based on a statistical mechanics law to establish an analog statistical mechanics anomaly analysis model, calculates a statistical mechanics characteristic vector by simulating the equipment running state through a virtual particle system, identifies an abnormal mode and performs hierarchical marking by adopting a state evaluation model and a dynamic threshold function, and constructs a feedback optimization mechanism to continuously improve system performance, so that the technical problem that traditional algorithms cannot effectively detect anomalies due to the dimensional curse caused by the extremely high dimension of industrial equipment sensor data is solved.

The application discloses a particle accelerator beam commissioning method, device, equipment and medium, and relates to the accelerator commissioning technical field, which can make each iteration process have clear data support by splitting the accelerator beam commissioning process into a stage solidified reproducible process, and guarantee the accuracy of the beam commissioning result. The method comprises the following steps: creating process configuration information of the particle accelerator according to a beam commissioning task; on the basis of setting a commissioning target, using the process configuration information to perform iterative commissioning on the particle accelerator, so as to generate setting information of a control variable according to an observation variable obtained in each iteration commissioning; applying the setting information of the control variable to an actual particle accelerator and / or a virtual particle accelerator, so as to obtain a current beam state output by the actual particle accelerator and / or the virtual particle accelerator; and if the iteration commissioning process meets an iteration termination condition, generating a first beam commissioning result according to the current beam state.

The present disclosure relates to a particle transport simulation method which includes obtaining a virtual particle source, simulating a deflection of the virtual particle source under a magnetic field to obtain a deflected particle, modeling one or more of a range modulator, a beam limiting hole, and an exit window based on physical properties of the range modulator, the beam limiting hole and the exit window, respectively, to obtain one or more of a range modulator model, a beam limiting hole model, and an exit window model, and simulating physical processes of the deflected particle in the one or more of the range modulator model, the beam limiting hole model, and the exit window model, respectively.

The invention discloses a method and device for determining the limit seepage distance of a low-permeability reservoir. The method comprises the following steps: generating a numerical simulation grid of a target low-permeability reservoir according to reservoir parameters; a seepage field control equation is constructed in advance according to a mass conservation equation, a seepage motion equation and a permeability stress sensitive model; on the basis of the numerical simulation grid, reservoir parameters are substituted into the seepage field control equation to generate pressure distribution fields and seepage velocity distribution fields at different development times; implanting a plurality of virtual mass points in the numerical simulation grid, and determining the movement track of each virtual mass point according to the pressure distribution field and the seepage velocity distribution field; and generating limit seepage distances at different development times according to the motion trails of the virtual mass points. According to the scheme, the dynamic change of the limit seepage distance along with the development time can be accurately obtained, the limit seepage distance determination precision is improved, and an accurate data basis is provided for subsequent cluster spacing design, fracturing scale optimization and the like.

The application discloses a debris flow surface SPH particle adaptive processing method and a debris flow real-time simulation method. In view of the defect that the prior art is prone to misjudgment of surface particles, the application provides the debris flow surface SPH particle adaptive processing method. A particle density dynamic threshold is used as a surface particle identification standard, and an optimized dynamic threshold utilizes a real-time velocity gradient, a density gradient and a weight, and dynamically balances the contribution of debris flow characteristics to the surface particle determination. A neighborhood virtual particle is randomly generated around a surface particle centroid to support kernel calculation, and the density and velocity properties of the virtual particle are limited. The debris flow real-time simulation method is realized by using the adaptive processing technology. An optimization scheme adopts SPH-DEM coupling, a unified SPH framework is composed of heterogeneous units, the SPH method is used for calculating hydrodynamic force, the DEM method is used for calculating contact force, and bidirectional coupling force calculation is completed. The Niagara particle system is used for realizing the SPH method, and a digital twin platform foundation of integrated simulation of numerical simulation and visualization is constructed.

The present application relates to a kind of stretch stable SPH fluid simulation method, can effectively weaken stretch instability problem in SPH fluid simulation process.The present application introduces two new particles in SPH fluid simulation process, namely: as the sampling point of pressure field virtual particle, and with speed attribute and carry fluid mass real particle, and based on these two particles, it is constructed based on the projection method of SPH fluid simulation technology method.In addition, the present application provides two virtual particle generation methods, to efficiently generate virtual particles without increasing too much computing expense.The present application can effectively weaken stretch instability problem in the original SPH fluid simulation method, significantly improve the stability, visual quality and accuracy of fluid simulation.The present application not only can simulate the form of fluid in stretch state, such as thin layer, fine stream, splash and droplet, but also can realize the stable simulation of incoherent fluid.

The invention relates to a weather simulation method and device for three-dimensional simulation of an open-air plant, and the method comprises the following steps: building a three-dimensional scene of the open-air plant through a computer graphic algorithm according to the actual layout of an object in the open-air plant; creating a model of virtual particles in the three-dimensional scene, wherein the virtual particles comprise raindrop particles and snowflake particles; virtual particles are distributed in the whole domain of the three-dimensional scene, and the virtual particles in a visible area are dynamically activated and rendered according to the visual angle of an observer; based on a ray detection method, intersection point detection is carried out on each falling virtual particle and an object in the scene, the falling point position of the virtual particle is judged, and the motion state of the virtual particle is controlled according to the falling point position; the multi-parameter motion control system is configured for the raindrop particles and the snowflake particles to control the motion postures of the raindrop particles and the snowflake particles in the falling process, the motion state of virtual particles can be simulated in a three-dimensional scene, and the problem that weather simulation is not real in the prior art is solved.

The application discloses a kind of soil and rock mixture mixed representation and concurrent solving method, comprising: after determining the soil and rock block of target soil and rock mixture, soil is modeled with material point method, and the material point corresponding to soil is generated, rock block is modeled with discrete element method, and the discrete unit corresponding to rock block is generated;The interaction between soil and rock block is described with a preset contact model;The virtual radius of each material point is calculated;And determine the material point in contact with discrete unit, marked as virtual particle;The coupling contact force of virtual particle and discrete unit is calculated using discrete element contact model;According to coupling contact force, construct balance equation, and calculate the acceleration on each background grid node in material point method, and the acceleration and angular acceleration on each discrete unit;According to the acceleration on background grid node, the acceleration of discrete unit and the angular acceleration of discrete unit, the real-time speed and displacement of material point and discrete unit are calculated.

According to the underground space excavation simulation method, device and equipment and the medium, a smooth fluid dynamics method is adopted to disperse a soil body of a to-be-simulated area into a particle system, and the spatial position and physical parameters of boundary virtual particles are determined; according to the spatial position and the physical parameter of the boundary virtual particle, determining the interaction between the particles, and determining the spin rate tensor and the relative speed of the particles; according to the spin rate tensor and the relative speed of the particles, the stress rate of the soil body particles is calculated in combination with the constitutive relation of the particles; performing time integration on the stress rate, and updating the stress state of each particle; judging whether the updated stress state exceeds the damage surface or not so as to determine whether the particles are damaged or not; marking the damaged particles, and outputting a simulation result. According to the scheme, under complex geological conditions and discontinuous deformation scenes, the simulation precision and stability are high, and the safety of the construction process can be guaranteed.

The invention discloses a motion sickness suppression method and system based on motion sensing and self-adaptive visual compensation. The motion sickness suppression method and system are operated in mobile terminal equipment. According to the method, data of a linear acceleration sensor are collected, net motion acceleration is extracted through a two-channel filtering algorithm, a physical engine is driven to simulate the speed and displacement of a virtual particle system, and stable control is achieved in combination with a nonlinear friction model. Visual compensation intensity is adjusted based on speed judgment and a Sigmoid function, natural transition of effects is ensured, a particle system is rendered through hexagonal close arrangement, perspective projection and an edge attenuation mechanism, and stable visual anchor points are constructed on the premise that an original interface is not interfered, so that the visual induced motion sickness is effectively relieved.

The application discloses a virtual particle generation method with controllable polydispersed distribution of edge angle and roughness, and comprises the following steps: continuously reconstructing three-dimensional surface morphologies of each real particle based on laser scanning and spherical harmonic analysis to obtain each reconstructed particle; calculating the edge angle and roughness of the real particle based on the surface of each reconstructed particle; designing a polydispersed distribution curve based on the maximum value of the edge angle and the roughness; determining the edge angle and the roughness of the virtual particle to be generated according to the polydispersed distribution curve, and generating the corresponding virtual particle by adjusting the spherical harmonic amplitude based on the edge angle and the roughness of the virtual particle to be generated. The virtual particle generated by the method is more consistent with the morphological distribution of the real particle, and can be applied to 3D printing and discrete element numerical modeling.

The invention, which relates to the technical field of three-dimensional point cloud scene identification, discloses a wave-particle-biscence point cloud scene feature expression extraction method and apparatus, comprising: performing standardization processing on an original three-dimensional point cloud to obtain point cloud data of a unified specification; initial real value features are extracted based on the point cloud data of the unified specification, and initial feature representation of each point is generated; mapping the initial feature representation into a virtual particle with a fluctuation attribute, and converting the virtual particle into a complex field waviness feature; inputting the complex field waviness features into a lightweight complex-valued convolutional network, completing local feature interaction by simulating particle coherence, and outputting high-dimensional aggregation features; carrying out compact coding on the high-dimensional aggregation features by adopting generalized average pooling and full-connection mapping to generate low-dimensional global features; and constructing a tetrad training sample based on the low-dimensional global features, and combining an adaptive loss function and a multi-disturbance verification strategy optimization model parameter to obtain a point cloud scene recognition model.

A multi-time-layer differential scheme for implicit heat transfer calculation using moving particles is presented, with the following specific steps: 1. Before calculation, virtual particles are arranged at the boundary to implement boundary layout, using virtual particles to arrange the first, second, and third types of boundaries for heat transfer calculation, as well as symmetric and periodic geometric boundary conditions; 2. During heat transfer calculation, the physical and mathematical relationships between different particles are given according to the input boundary conditions; 3. The distances between particle i and its neighboring particle j from the boundary surface formed by the boundary particles are calculated, and boundary conditions are applied; 4. The particle properties are given according to the initial input temperature, and the calculation time step length is given according to the stability condition; 5. The coefficient matrix and source terms of the multi-time-layer scheme of the heat diffusion equations are combined to solve the energy equation for temperature; 6. A consistent solution is performed using relevant solving algorithms to solve for the next temperature and determine whether convergence has occurred; 7. After all MPS calculations for a single time step are completed, the next time step is initiated.

Radiation treatment planning for charged particle therapy systems, such as proton therapy systems, includes calculating dose distribution(s) using a virtual particle Monte Carlo (“VPMC”) dose calculation engine that utilizes virtual particles. Virtual particles inherit the physical properties from realistic particles, but are conceptually designed for parallel computing in graphics processing units (“GPUs”) by avoiding the simulation of secondary particles. Simulation of virtual particles instead of realistic particles takes full advantage of the GPU hardware architecture (e.g., by avoiding thread divergence and racing conditions).

The present application relates to the field of optical fiber sensing technology, and particularly to a method and system for building a seismic monitoring platform based on an optical fiber seismometer, a three-dimensional geological model of a monitoring area is constructed based on multi-source geological data of the monitoring area; a grid element in the three-dimensional geological model is taken as a virtual particle, and the position, motion direction and chemotaxis parameter of each virtual particle are initialized; the intensity of a seismic precursor signal of the grid element is determined as the concentration of a chemical attractant of the virtual particle; a phototaxis mechanism is introduced to simulate the group motion behavior of the virtual particle under the concentration gradient of the chemical attractant, and the final distribution density map of the virtual particle is obtained; according to the final distribution density map of the virtual particle, an optimal layout map of the optical fiber seismometer in the monitoring area is determined, and the seismic monitoring platform is built according to the optimal layout map, the present application can accurately identify a potential seismic source area, dynamically adapt to changes in the geological environment, and improve the coverage accuracy and response capability of the seismic monitoring platform.

The present application relates to the field of processing detection technology, especially to a geological environment risk prediction method and system based on multi-source heterogeneous data, the present application constructs a three-dimensional space attribute matrix containing effective porosity and organic carbon mass fraction and a groundwater flow velocity field; a three-dimensional space lag tensor matrix is constructed in combination with an organic carbon distribution coefficient; a step-by-step dynamic iterative reverse tracking of virtual particles is carried out to lock the leakage source, the constant resistance assumption of the whole field is broken, the mathematical decoupling of water flow driving and chemical interception is realized; through micro-grid level instantaneous dynamic speed reduction, the hidden danger of deducing too fast to pass the real source is eliminated, the locking of the historical hidden leakage position is realized, the confidence of the forward evolution prediction is improved, and solid data support is provided for the targeted management of environmental risks.

The application discloses a kind of distributed gas leak source detection method and system based on wireless positioning, method is: the three-dimensional space coordinate system of sensor network is established in monitoring area;Sensor unit uploads to cloud server after processing data, own coordinate and time stamp data;Cloud server constructs multi-frame space-time input tensor, input to the multi-physical field collaborative reconstruction network based on window attention mechanism, under the constraint of Navier-Stokes equation and convection-diffusion equation, high-resolution three-dimensional concentration field and gas flow velocity field are reconstructed from sparse concentration data simultaneously inversion, and based on inversion flow velocity field drives virtual particle to execute reverse Monte Carlo backtracking to the probability density positioning of leak source.The system includes sensor network that cloud server and sensor unit are composed of.The application is replaced by wind speed sensor array through algorithm soft measurement, realizes the rapid deployment of monitoring network, and guarantees the physical self-consistency and high accuracy of gas tracing result under complex working condition.

The invention discloses a nuclear power plant cold source water intake disaster-causing object migration path prediction method, and relates to the technical field of marine environment simulation and nuclear safety early warning, and the method comprises the following steps: obtaining the landform, water depth, shoreline, tide level, wind field and hydrological data of a target nuclear power plant sea area; based on the data, constructing a three-dimensional hydrodynamic model of the sea area to simulate and obtain flow field data of temporal and spatial variation of the sea area; based on the flow field data, a Lagrange particle tracking method is adopted, and the motion trail of one or more virtual particles at the set initial position is simulated; and according to the motion trail of the virtual particle, determining an early warning range of a disaster-causing object capable of reaching the water intake of the nuclear power plant in a preset time scale. By integrating the multi-source marine environment data, the high-precision hydrodynamic model and the Lagrange particle tracking technology, the migration path of algae, oil spill and other disaster-causing objects near the water intake of the nuclear power plant can be accurately simulated, and a multi-time-scale early warning range is quantitatively given.

The invention discloses a graph rendering method and device, a storage medium, equipment and a program product, and the method comprises the steps: determining a target surface patch used for generating a liquid drop effect, and generating a plurality of virtual particles in a three-dimensional space corresponding to the target surface patch; constructing a plurality of geometric distance fields corresponding to the plurality of virtual particles based on the spatial position information and the volume parameters of the plurality of virtual particles; performing smooth fusion processing on the plurality of geometric distance fields to obtain a composite distance field representing the droplet form; and performing droplet effect rendering on the target patch based on the composite distance field to obtain a display picture with a droplet effect. According to the scheme provided by the embodiment of the invention, the technical effect of remarkably enhancing the spatial reality sense and the dynamic visual effect of the liquid drops can be achieved.

The invention discloses a coal mine digital twinning dynamic modeling method and system based on multi-source heterogeneous data fusion, and relates to the technical field of model construction.The method comprises the following steps that an independent loop is constructed, a wind track topology is constructed according to a preset first constraint condition and the independent loop, and a coal mine three-dimensional model is obtained based on a preset method; according to preset ventilation parameters and wind track topology, virtual particle boundaries are calculated, and the coal mine three-dimensional model is updated. The design efficiency is improved through the preset construction method and constraint conditions, the flow path and distribution condition of the wind flow in the mine can be more accurately simulated by introducing the virtual particle boundary based on the preset method and the mine correlation graph, ventilation dead angles or wind speed abnormal areas can be identified, and the method is suitable for popularization and application. The coal mine three-dimensional model is dynamically updated according to the virtual particle boundary, the reliability of simulation analysis is improved, and a scientific basis can be provided for making an emergency plan through the three-dimensional model and wind flow simulation.

This invention proposes a cooperative search method for underwater unmanned underwater vehicles (UUVs) based on an improved gravity search algorithm, relating to the field of UUV search. The method includes: deploying multiple virtual particles within the search area to form a gravitational field; dynamically updating the mass and orientation preference states of each particle during the search process; calculating the basic gravitational force acting on each UUV and performing orientation-sensitive corrections to obtain the total attractive force; calculating the repulsive force between the UUVs and modulating the repulsive force to obtain the total repulsive force; synthesizing the total attractive and repulsive forces to obtain the total resultant force, resulting in a new course and velocity; updating the position of the UUVs based on the new course and velocity, detecting and avoiding search area boundaries and obstacles, and updating the state of the detected particles. This invention achieves efficient adaptive cooperative search of an underwater UUV swarm by constructing a gravitational field using virtual particles.

The invention relates to an incompressible fluid simulation method and device based on SPH. According to the method, firstly, particles are split into virtual particles serving as pressure calculation points and real particles serving as speed calculation points, and when a certain area of fluid is in a compressed state, the real particles and the virtual particles in the area are made to coincide, namely, the particles are polymerized, so that the numerical stability (compression stability) of the fluid in the compressed state is guaranteed; and when a certain region of the fluid is in a stretching state, solid particles in the region are separated from particles, so that the numerical stability (stretching stability) of the fluid in the stretching state is ensured. According to the method, polymerization and splitting of particles are adaptively triggered through stress and strain states of different regions of the fluid, so that most regions of the fluid are in a stress numerical value stable state, and the simulation accuracy of the SPH incompressible fluid is improved.