51 results about "Poisson's equation" patented technology

The invention relates to a crown segmentation method based on a CSAF framework, and the method comprises the steps: integrating Fourier transform and a state space model through a GM-Mama module, and effectively improving the extraction capability of a fuzzy crown contour; a forgetting factor is dynamically regulated and controlled by using an MASA-Optimizer module in combination with a multi-agent negotiation mechanism, and continuous self-adaptive learning of dynamic changes of species and phenology is realized; a physical constraint based on a Poisson equation is introduced by means of an MPC-Poisson module, and spectral interference of non-target vegetation is significantly inhibited; according to the method provided by the invention, high-precision crown instance segmentation and counting can be realized in a cross-species and cross-phenological complex scene, accurate calculation of a vegetation index of a single plant level is supported, and a flexible and powerful method is provided for analysis of different types of forest crowns.

The invention discloses a multi-view three-dimensional reconstruction method for a slender object based on curve guidance. According to the method, geometric prior and a deep learning segmentation network are fused, two-stage foreground extraction, a curve-guided motion recovery structure (SfM) and a surface optimization module capable of differential Poisson reconstruction are provided, and a set of complete processing flow is established for the problem that a slender and weak-texture object is difficult to accurately reconstruct. The method comprises the following steps: acquiring a multi-view image through a consumer-level terminal and performing frame extraction to obtain an input data set; generating a high-quality foreground mask by utilizing depth estimation and semantic segmentation; performing curve-guided SfM initialization based on the foreground skeleton curve to realize joint estimation of the camera pose and the sparse three-dimensional curve; carrying out surface geometric optimization through a micro Poisson equation and differentiable grid rendering; and designing a multi-branch loss function fusing luminosity, mask, regularization and Gaussian rendering supervision to train the model. Finally, the method can output a three-dimensional reconstruction result of the slender structure with high geometric accuracy, strong structural integrity and smooth surface, and has good robustness and application value.

The invention provides a Gummel curve simulation method and system and electronic equipment, and relates to the technical field of semiconductor device emulation.The method comprises the steps that according to the actual structure of a variable-component SiGe HBT device, division is conducted in combination with a preset grid division strategy, and a discretized grid is obtained; according to the material attribute of the device, carrying out physical attribute binding on each grid point in the discretized grid to obtain a material definition result of the discretized grid; respectively carrying out conventional conductive type doping and component doping on the device to obtain spatial variation doping distribution of the device; combining a preset composite model and a preset mobility model to obtain a physical model set of the device; and a Poisson equation and a carrier continuity equation are solved in combination with numerical values, and a Gummel curve of the variable-component SiGe HBT device is obtained. According to the method, the actual current-voltage characteristics of the device can be accurately reflected, and the core requirement of high-precision simulation is met.

The embodiment of the invention provides a multi-physical field collaborative simulation method and device for a high-speed silicon-based electro-optical modulator, and the method comprises the steps: building a physical model of the electro-optical modulator, carrying out the simulation under different bias voltage and temperature conditions, solving a Poisson equation, a carrier continuity equation and a drift diffusion transport equation, and obtaining the corresponding carrier concentration distribution; performing small-signal simulation analysis on the model to obtain corresponding PN junction electrical characteristic parameters; performing waveguide optical mode simulation on the model to obtain corresponding electric field mode distribution and effective refractive index, and calculating the effective refractive index and absorption coefficient change of the waveguide; constructing a traveling wave electrode model, simulating the traveling wave electrode model to solve an S parameter of a traveling wave electrode, and determining a distribution parameter of the no-load traveling wave microstrip line; a load traveling wave transmission line model is constructed in combination with PN junction electrical characteristic parameters, and based on the model, the frequency response characteristics and the modulation bandwidth of the electro-optical modulator at different temperatures are determined, so that the accuracy of a simulation result can be improved.

The invention discloses a modeling method for a streamer discharge process in natural ester insulating oil by considering ionization in bubbles. The modeling method comprises the following steps: 1) constructing a two-dimensional non-axisymmetric model for simulating discharge of bubbles to streamers in the natural ester insulating oil under lightning impulse voltage; 2) introducing a plasma chemical reaction, and constructing a natural ester insulating oil stream discharge electrohydrodynamic model coupled with an ionization process of gas molecules in bubbles; and after a set voltage is applied to the two-dimensional non-axisymmetric model, the natural ester insulating oil streamer discharge electro-hydrodynamic model simulates a natural ester insulating oil streamer morphology evolution process. According to the method, the drift-diffusion-reaction process of the plasma in the bubble and the Poisson equation are subjected to self-consistent solution, and the plasma generation process in the bubble under the strong electric field is integrated into the existing streamer discharge model, so that the method is beneficial to understanding the liquid dielectric breakdown theory.

This invention discloses a method for reconstructing magnetoacoustic electromagnetic particle images based on time-reversal. This method utilizes the method of moments discretization, combining the voltage-time inversion formula with the theory of the magnetoacoustic electromotive force problem for magnetic particles. It reconstructs the spatiotemporal discrete signals of the first and second derivatives of the voltage acquired by the electrodes into an equivalent field source distribution within the imaging region. A unit current is injected across the electrodes, and the potential distribution is obtained by solving the reciprocal potential Poisson equation. Combining the field source and the reciprocal potential distribution, the discrete divergence field of the magnetic nanoparticle concentration can be calculated, and then expressed as a five-point difference form of the Poisson equation. Finally, the Gauss-Seidel iterative method is used to solve this equation to obtain an image of the magnetic nanoparticle concentration distribution. This invention effectively reduces computational complexity and storage requirements, significantly improves imaging speed, and expands the application potential of this technology in the field of medical imaging.

The application provides a method of coupling momentum potential theory and pressure wave decomposition and application thereof, and belongs to the field of fluid mechanics and aeroacoustics. The method first acquires flow field data, performs Helmholtz decomposition on the momentum density field based on the momentum potential theory to obtain momentum densities of fluid dynamics, acoustics and entropy components; then, the momentum densities of the components are taken as independent source terms to construct independent Poisson equations for describing fluid dynamics pressure, acoustic pressure and entropy pressure; and finally, the equations are solved to obtain pressure wave fields of the physical components. The application establishes a physical mapping between momentum modes and pressure modes, gets rid of the dependence on filtering threshold or propagation speed criterion in the prior art, realizes automatic and physically consistent separation of acoustic pressure (true sound) and fluid dynamics pressure (pseudo sound) in complex turbulent flow, and is suitable for noise mechanism research, source positioning and noise reduction design.

The invention discloses an ADSS optical cable potential measurement method and device based on a CNN-PINN fusion network, and a medium, and the method comprises the steps: S1, collecting a space electric field vector around an optical cable and environment temperature and humidity parameters, and constructing a three-channel tensor; s2, extracting a high-dimensional feature vector; s3, a PINN physical constraint module is embedded into a Poisson equation, field intensity gradient constraint and dielectric compensation; s4, outputting a three-dimensional space potential distribution field and an electric corrosion risk level; according to the method, CNN and PINN are fused and improved, and the bottleneck of the traditional technology is thoroughly broken through: high-gradient distortion is captured through UNet, key area perception is enhanced through CBAM, and the measurement error is reduced compared with that of a traditional contact sensor through PINN physical constraint; environmental interference is decoupled through three channels, humidity drift is suppressed through dielectric compensation, and reconstruction precision stability in a strong interference environment is guaranteed through frequency domain noise reduction; and the output layer generates three-dimensional potential field distribution, calculates an electric corrosion risk level integrating a space gradient and a time-varying characteristic in real time, and supports a corrosion protection decision.

This invention belongs to the field of image generation, specifically relating to a method and system for generating 360° images of subway vehicles based on image stitching. The method includes: acquiring source images collected along the subway vehicle; obtaining effective matching point pairs through feature extraction matching and spatial topological similarity filtering; selecting the camera pair with the strongest geometric constraints as a benchmark; using incremental triangulation to recover the camera pose and 3D point cloud; in global bundle adjustment, optimization is performed by combining reprojection error and linear regularization terms based on the geometric principal axes of principal component analysis, with the regularization term weights adjusted according to the average distance from the point cloud to the principal axes; after optimization, the source images are projected onto a cylindrical canvas, and the optimal image gradient is selected based on gradient information entropy to construct a gradient field; a seamless 360° panoramic image is generated by solving the Poisson equation. This invention can effectively eliminate mismatches, suppress 3D reconstruction offset, and generate high-quality seamless panoramic images.

The invention discloses a depth map adjusting method for relieving 2D (two-dimensional) to 3D (three-dimensional) video display crosstalk. According to the method, an initial depth map is obtained through monocular depth estimation, a spatial weight map of a crosstalk sensitive area is generated in combination with a screen spatial position, a motion weight map is generated based on an inter-frame optical flow, and a gradient magnitude map of the initial depth map is calculated; fusing the multiple weight maps to generate a self-adaptive smooth weight map, performing attenuation optimization on a gradient field of the initial depth map, and performing reconstruction by solving a Poisson equation to obtain an optimized depth map; and finally, left and right eye views are generated based on the optimized depth map, and a 3D video stream is synthesized and output. The method does not need to depend on hardware modification, can intelligently target a crosstalk high-risk area, retains the stereoscopic impression of a central area to the greatest extent while effectively relieving crosstalk, is adaptive to various monocular depth models and 3D display equipment, has the advantages of accurate crosstalk suppression, excellent stereoscopic vision experience, high compatibility and the like, is suitable for various 2D-to-3D video processing scenes, and has a wide application prospect. And the 3D watching comfort of the user is improved.

Embodiments of the present application disclose an image processing method and related equipment. The method can be applied to a scene of removing other subjects irrelevant to a first subject in an image or a video. The method comprises: acquiring a first image and a second image; determining a first region of the first image and a second region of the second image; constructing a Poisson equation based on a target region, the target region comprising the first region and the second region; and repairing the first region and the second region based on the Poisson equation to obtain a first target image and a second target image, the first target image and the second target image not comprising a second subject. Other subjects irrelevant to the first subject in multiple images can be removed to obtain a target image with the first subject and a clean background. Moreover, multiple repaired target images are obtained by repairing target regions based on the Poisson equation constructed based on the target regions. Compared with the prior art which needs to construct a Poisson equation for each image, the image repair rate can be improved.

The application discloses a kind of cable branch box electromechanical collaborative test method, its steps are: using random mechanical excitation force in external environment as passive test source, three-dimensional acceleration mechanical vibration wave and metal shielding ground line wideband weak current of box shell are synchronously collected, and double-mode time sequence is generated;Based on coherent integration algorithm, filter out power frequency induction component, extract induced displacement current and calculate electromechanical conversion coupling coefficient matrix;Using Fourier transform fitting dielectric relaxation response rate, output frequency-dependent dielectric relaxation characteristic vector;Response rate is mapped to different physical depth of insulating layer by combining radial propagation sound path difference model, and radial space charge concentration gradient parameter is output;Based on Poisson equation, reconstruct micro electric field stress distortion curve by reverse integration;Extract maximum stress peak value and compare with dendritic breakdown threshold value, and automatically output adaptive adjustment instruction.The application does not need to apply electrical excitation additionally, and can passively perceive internal space charge distribution and electric field stress distortion of insulating medium.

The invention discloses an insulator sample internal charge transport simulation method and system based on a Nebula simulator, and the method comprises the steps: mapping a continuous or non-grid particle accumulation behavior into a charge density source item on a finite difference grid through a finite grid drift diffusion module after obtaining scattering simulation data of the Nebula simulator; then, a strong coupling iteration mechanism is used for simultaneously solving a Poisson equation and carrying out drift diffusion calculation in each micro time step so as to accurately and efficiently iteratively calculate the electric field evolution process in the insulator, and the charge density, the electric field and the dynamic evolution process in the insulator are fed back to a Nebula simulator; therefore, the technical problem that an existing Nebulla simulator neglects an internal electric field and cannot effectively describe the long-term accumulation and evolution process of charges in a material is solved, and the simulation precision of electron beam measurement and imaging is improved.

The application discloses a large-view-field three-dimensional density field reconstruction method and a measuring system based on an air-based multi-platform array, and belongs to the technical field of flow field measurement.The air-based multi-platform array is an airborne platform carrying at least five cameras;the air-based multi-platform array synchronously collects natural background images without flow field disturbance and disturbance images with flow field disturbance, and the natural background images without flow field disturbance are taken as reference images;the air-based multi-platform takes the reference images under the field angles of the cameras as the reference, estimates the displacement of each pixel point in the corresponding disturbance image through an optical flow algorithm, and obtains the displacement field of each disturbance image;the NeDF model is constructed through a multi-layer perception mechanism, the three-dimensional refractive index gradient is reconstructed from the displacement field based on the NeDF model;the three-dimensional Poisson equation is solved by using the three-dimensional refractive index gradient field, and the three-dimensional refractive index distribution is obtained;the Gladstone-Dale equation is solved by using the three-dimensional refractive index field, and the three-dimensional density field of the flow field is obtained.The application realizes high-fidelity three-dimensional density field reconstruction of a super-large-range flow field by using a natural background.

The application provides a transistor interface state model optimization method, a computing device and a storage medium. The method comprises the following steps: constructing a transistor interface state model; if the defect type is an acceptor type defect; calculating the ionized acceptor type interface state defect concentration according to an acceptor type ionization probability model; adding the acceptor type interface state defect concentration to a Poisson equation to obtain an acceptor type Poisson equation; replacing the Poisson equation with the acceptor type Poisson equation to obtain an acceptor type transistor interface state optimization model; if the defect type is a donor type defect; calculating the ionized donor type interface state defect concentration according to a donor type ionization probability model; adding the donor type interface state defect concentration to the Poisson equation to obtain a donor type Poisson equation; replacing the Poisson equation with the donor type Poisson equation to obtain a donor type transistor interface state optimization model. The beneficial effect of the scheme is that the transistor interface state model is optimized, and the base current simulation result obtained by using the optimization model is more accurate.

The invention provides a density field topological optimization method and system for coupling a derivable symbol distance function, and belongs to the technical field of topological optimization design, and the method comprises the steps: predefining a density boundary threshold value, carrying out the interpolation calculation according to the density threshold value, and obtaining a zero horizontal plane of a symbol distance field; solving a Poisson equation to obtain a symbolic distance function by taking the symbolic distance value of the zero horizontal plane as a Dirichlet boundary condition and a temperature field gradient; on the basis of the obtained sign distance function, the average curvature of the structure boundary is obtained through calculation, and a curvature constraint function is constructed and comprises a positive curvature constraint and a negative curvature constraint; sensitivity information of design variables to the constraint function and the target function is obtained, a standard optimization solver is used for solving an optimization problem, and an optimal solution meeting the convergence condition is used as an optimal topological structure after multiple steps of iteration.

The invention discloses a numerical simulation method for two-dimensional Ar-He mixed gas capacitive coupling plasma discharge, and belongs to the technical field of plasma numerical simulation. According to the method, a particle grid method and a Monte Carlo collision method are combined, a gas environment and a two-dimensional grid are initialized, and loop execution is carried out at each time step; an area weight method is used for distributing charges and electric field interpolation, an SOR method is used for solving a Poisson equation, a leapfrog method is used for updating particle motion, a boundary effect and a specific collision event are processed, after a system is stable, statistics is carried out on energy distribution of ions reaching an electrode, and whether the energy distribution is unimodal distribution is judged. And outputting key data of ion energy, ion flux, plasma uniformity and surface topography control for guiding process optimization based on the distribution. According to the method, the defect that a one-dimensional model ignores the radial effect is overcome, the cooperative discharge mechanism of the Ar-He mixed gas is accurately simulated, high-precision key data are provided for semiconductor plasma process optimization, and the method has important practical value.

The application discloses a kind of equivalent thermal conductivity calculation method and system of electric propulsion motor winding, it is related to electric propulsion motor temperature field calculation field, wherein the equivalent thermal conductivity calculation method of electric propulsion motor winding includes the following steps: according to the arrangement state of entire winding in electric propulsion motor in slot, winding is divided into multiple unit circular structure;Establish the Laplace equation of the temperature of insulating layer subdomain in multiple unit circular structure, and the Poisson equation of the temperature of winding layer subdomain;According to the boundary condition in multiple unit circular structure, the temperature rise of each subdomain is solved, and the total temperature rise of multiple unit circular structure is solved, the entire winding is equivalent to circular heating body, and the total temperature rise of multiple unit circular structure is taken as the temperature rise of circular heating body;Equivalent thermal conductivity of entire winding is calculated.The winding equivalent model based on the analytical method proposed in the application obtains more accurate winding temperature;The method also provides a reference for temperature solution of other types of motor.

This invention discloses a phase retrieval method for bright-field microscopy based on uniform light intensity, belonging to the technical field of phase retrieval in optical measurement. The method includes: acquiring focused light intensity images, positive defocus images, and negative defocus images along the optical axis; calculating the axial differential of light intensity using the finite difference method; simplifying the light intensity transmission equation to a Poisson equation and solving the Poisson equation to obtain the initial phase; constructing a positive higher-order error compensation model for the axial differential of light intensity and solving for the phase; and using a gradient acceleration strategy to iteratively calculate the phase to obtain the final phase result. This invention significantly improves the stability and accuracy of phase retrieval. Simultaneously, by combining angular spectrum theory to construct an axial differential higher-order error compensation model and introducing a gradient acceleration strategy, it effectively corrects defocus errors, greatly improves iterative convergence efficiency, and enhances the applicability of the method in practical microscopic imaging scenarios.

The invention discloses a C4F7N / CO2 mixed gas 50% lightning impulse voltage prediction method and device, electronic equipment and a storage medium, and belongs to the field of high-voltage insulation, and the method comprises the steps: obtaining the electron collision cross section, ion transport parameters, electrode gap and electrode type data of mixed gas, and constructing a two-dimensional electrode model; processing the electron impact cross section to obtain electron average energy, mobility, diffusion coefficient and reaction rate; solving a charged particle continuity equation and a Poisson equation by combining the parameters to obtain electric field intensity distribution and a streamer head position; and determining the initial voltage of the stream according to the corresponding externally applied voltage when the electric field intensity is maximum, determining the breakdown voltage of the stream according to the externally applied voltage before the head of the stream reaches the ground electrode, and calculating to obtain a predicted value of the lightning impulse voltage. According to the invention, the problem of lightning impulse voltage prediction failure caused by the fact that the streamer starting voltage and the streamer breakdown voltage cannot be accurately extracted in the prior art can be solved.

The present application relates to the technical field of data processing, and more particularly to a twin model construction method, system, device and medium for tank decommissioning, the construction method comprising the following steps: acquiring point cloud data, reconstructing a point cloud network, extracting size information, and constructing a twin model; real-time monitoring of sensor health status through time series feature analysis, capturing device degradation rules using a gated recurrent network, generating a hidden vector reflecting the degree of performance degradation, constructing a Poisson equation to describe the implicit surface, and using the finite element method to solve to obtain a continuous mesh model; and collaborative mapping of three-dimensional mesh and two-dimensional projection data, which not only preserves the overall topological form of the tank, but also extracts key size parameters, providing dual precision protection for path planning, and solving the problem of data drift in the model construction method of the prior art.

Disclosed in the present invention are a correction method and apparatus for an electron collision reaction rate, and a device and a medium. The method comprises: performing calculation on the basis of a Boltzmann equation corresponding to the electron distribution in a six-dimensional phase space, so as to obtain the electron energy distribution in the six-dimensional phase space, and then performing calculation on the basis of the electron energy distribution, so as to obtain electron collision reaction coefficients; on the basis of a preset Poisson equation and a preset particle transport equation, performing calculation to obtain the electric-field distribution and electron density in the six-dimensional phase space; on the basis of the electric-field distribution and the electron density, obtaining a corresponding electron energy transport equation, obtaining, on the basis of the electron energy transport equation, an electron energy loss balance in an inelastic collision process, and then obtaining a correction coefficient for an electron collision reaction rate; and on the basis of the correction coefficient for the electron collision reaction rate and the electron collision reaction coefficients, obtaining a corrected electron collision reaction rate. By means of the present invention, an electron collision reaction rate can be corrected.

The invention relates to the technical field of data processing, in particular to a twin model construction method, system and device for storage tank decommissioning and a medium, and the construction method comprises the following steps: obtaining point cloud data, reconstructing a point cloud network, extracting size information, and constructing a twin model: monitoring the health state of a sensor in real time through time sequence feature analysis; the method comprises the following steps: capturing an equipment degradation law by utilizing a gated loop network, generating a hidden vector reflecting the performance degradation degree, constructing a Poisson equation to describe an implicit curved surface, solving by adopting a finite element method to obtain a continuous grid model, a three-dimensional grid and collaborative mapping of two-dimensional projection data, retaining the overall form topology of a storage tank, extracting key size parameters, and obtaining a three-dimensional grid model; double precision guarantee is provided for path planning, and the problem of data drift existing in a model construction method in the prior art is solved.

The invention discloses an automatic flight attitude control method and system for an unmanned aerial vehicle, and relates to the technical field of machine vision and unmanned aerial vehicle flight control, and the method comprises the steps: collecting two adjacent frames of distortion-removed grayscale images and inertial angular velocities, and calculating a dense optical flow field and a divergence field thereof; performing gray histogram tail curvature inflection point analysis on the first frame image to generate a highlight continuous weight map, and solving a Poisson equation by taking a divergence field as a source item to obtain a divergence component; correcting the optical flow field according to the weight map and the adaptive suppression coefficient to obtain a corrected optical flow field; and extracting a visual rotation rate from the correction optical flow field and adaptively fusing the visual rotation rate with the inertial yaw angular velocity to generate a control instruction, and outputting the motor rotation speed through mixed control. Visual measurement interference can be suppressed in a high-reflection strong-highlight scene, and the stability and reliability of attitude control of the unmanned aerial vehicle are improved.

The application discloses a numerical simulation method of an electrically assisted microbial remediation process, and belongs to a numerical simulation method system. First, a conceptual model, chemical substance setting, initial condition and boundary condition of a research area are determined through initialization research area setting. Then, the number of simulation nodes is set based on grid self-adaptive division. A migration model established by Nernst-Planck-Poisson equation is considered in COMSOL software based on a migration-reaction operator separation method, so as to describe processes such as convection, dispersion, electromigration and electroosmotic flow related to material migration in groundwater. In PHREEQC, the influence of microbial growth on the permeability coefficient and the multivariate inhibition Monod degradation reaction are considered. Finally, the CPM-BIO numerical simulation method is formed by combination, so that the electrically assisted microbial remediation process can be simulated in detail. Compared with existing calculation models, the CPM-BIO can realize the detailed description of the electrically assisted microbial remediation numerical simulation process with multiple dimensions and multiple reactions.

The invention discloses a drain current acquisition method and device for a gallium nitride high electron mobility transistor, and relates to the technical field of semiconductor devices.The method comprises the steps that firstly, channel carriers are regarded as an accumulation layer obeying Boltzmann distribution, and a first channel carrier charge density function is acquired through a one-dimensional Poisson equation; a second channel carrier charge density function is constructed in combination with static electrical characteristic parameters of the device, and a drain current function is obtained through joint approximate solution; constructing a current function of any point in the channel, solving an electric field function at the edge of the grid electrode adjacent to the drain electrode in combination with a current function of the drain electrode, determining a target voltage correlation function in combination with a current expression function of a source electrode access region, and further carrying out joint solving to obtain a solving value of the voltage at the edge of the grid electrode adjacent to the source electrode and the drain electrode; and finally obtaining the drain current according to the two solution values. Through a mode of combining physics and calculation, the defect that an existing model is poor in expansibility is overcome, and the method is suitable for circuit simulation and design of the GaN HEMT.

The present application relates to the technical field of data processing, in particular to a method and system for finding a marine transmission barrier and a storage medium, the method comprising: obtaining a differential equation of displacement by deriving a geostrophic flow field in a target sea area, and time-integrating the differential equation to obtain Lagrangian trajectories of fluid elements at all grid points in the target sea area; constructing a Poisson equation based on the relationship between the velocity vector and the partial derivative of the stream function, and combining the geostrophic flow field to obtain the stream function distribution of the target sea area in a target time period; in the target time period, time-integrating the stream function values of each fluid element in the target area along its Lagrangian trajectory and then taking the average to obtain the Lagrangian average stream function distribution field; determining an LASF contour with a maximum along-line stream function standard deviation less than a standard deviation threshold in the target time period, and determining the transmission barrier based on a material line coinciding with the LASF contour; the present application improves the accuracy and reliability of identifying the transmission barrier in a complex marine environment.

The invention discloses a vacuum breaking type GIS multi-field coupling method, system, equipment and medium for introducing a material degradation function into pressure-strength interference, and the method comprises the steps: achieving the quantitative description of the dynamic attenuation of the strength of a part along with the time through the building of the material degradation function, and enabling a reliability model to better fit the actual service condition; a multi-field coupling finite element model is constructed, potential distribution is accurately simulated by solving a Poisson equation, and dynamic load characteristics of a key area are analyzed and identified through stress response. Meanwhile, an improved particle swarm algorithm with an adaptive inertia weight and a variation mechanism is introduced in a model parameter identification link, so that the convergence speed and the global optimization capability of parameter optimization are effectively improved, and the accuracy and the efficiency of model calibration are ensured. Interference integration is carried out on time-varying intensity and pressure distribution, large-scale random sampling verification is carried out by adopting a Monte Carlo method, and accurate prediction of the dynamic reliability of the part in the whole life cycle is realized.

The application discloses a motor slot outlet crack propagation and dielectric performance prediction method, device, equipment and storage medium, relates to the motor insulation technical field, and the method comprises the steps of constructing a geometric model of a motor slot outlet, the geometric model comprising a stator core, a conductor and an insulator, and setting an initial electric potential field based on the voltage level of the stator core and the conductor; solving a mechanical displacement field and a phase field damage variable according to the material attribute parameters of the geometric model, and generating evolution trend data of a crack propagation path; calculating the electric damage variable and the electric field distortion data of the geometric model in the crack propagation process according to Poisson's equation, the initial electric potential field, the evolution trend data and the dielectric constant of the insulator; and obtaining a comprehensive prediction report containing a crack propagation path prediction graph and a dielectric performance degradation cloud chart according to the evolution trend data, the electric damage variable and the electric field distortion data. The application can accurately predict the motor slot outlet insulation crack propagation path and the dynamic change of dielectric performance.

The invention discloses an asynchronous GMRES precondition method for AI acceleration of a pressure Poisson equation in incompressible flow numerical calculation, and belongs to the field of computational fluid mechanics. Aiming at the calculation bottleneck of a traditional GMRES method when a pressure Poisson equation is solved, the method adopts an asynchronous parallel AI precondition framework, neural network training and flow field solving are decoupled, and concurrent execution is achieved. The solver thread performs real-time inference by using the current model, and provides high-quality initial guess; the weight is optimized in the background of the trainer thread, and the lagging is tolerated by using the flow field time coherence. Experimental results show that the method shortens the solving time by 67%-82% on the premise of ensuring convergence precision, and is suitable for large-scale fluid simulation.