1196 results about "Simulation software" patented technology

The invention provides an automatic inspection method and device and a readable storage medium, and relates to the technical field of operation and maintenance management, and the method comprises the steps: automatically logging in a plurality of devices through a pre-written automatic login script of terminal simulation software, and executing an inspection command; obtaining an original log output by the plurality of devices after executing the inspection command, and storing the original log in a local database; preprocessing the stored original log, and extracting a key index in the preprocessed original log by using a preset index extraction rule; and carrying out anomaly detection on the extracted key indexes to obtain the anomaly indexes and cross-device association anomaly results of the corresponding devices. According to the method, the device and the readable storage medium, the problems that the manual inspection efficiency is low, the log analysis intelligence degree is insufficient, intelligent assistance is lacked and potential safety hazards exist in data circulation due to the fact that an existing inspection technology mainly depends on manual operation or a basic script tool can be solved.

The invention discloses an intelligent optimization method for a multi-type well seam joint control fine injection-production mode, and relates to the technical field of oil-gas field development. The method comprises the following steps: setting a well seam joint control fine injection-production mode, establishing an oil reservoir numerical simulation model in oil reservoir numerical simulation software, obtaining multiple groups of oil reservoir injection-production schemes based on a Latin hypercube sampling method, performing simulation according to each group of oil reservoir injection-production schemes by utilizing the oil reservoir numerical simulation model, generating multiple pieces of sample data, and establishing a sample database; a deep learning agent model is established, after the sample database is utilized to train and train the deep learning agent model, a particle swarm optimization algorithm is adopted to carry out single-target pre-search global optimization to obtain a preferred reference strategy, a reinforcement learning dynamic decision model is established, and a reinforcement learning agent is obtained through training based on a PPO near-end strategy optimization algorithm; and the optimal injection-production development scheme of the oil reservoir is obtained by utilizing the reinforcement learning agent, so that rapid optimization and decision support of the oil reservoir injection-production scheme in a new multi-type well seam joint control mode are realized.

The invention belongs to the technical field of simulation analysis, and particularly relates to a medium-high voltage switch cabinet internal humidity inversion calculation method based on simulation analysis, which comprises the following steps: establishing a geometric model of a switch cabinet, importing the geometric model into finite element simulation software to obtain a simulation analysis model, adding each physical field and computational domain and boundary conditions thereof, and calculating the internal humidity of a medium-high voltage switch cabinet. All the physical fields are coupled, and mesh generation is carried out; performing numerical solution on the simulation analysis model by using a transient solver to obtain a temperature and humidity distribution condition in the switch cabinet; the simulation analysis model is optimized, a simulation data set is constructed, and a PINN is trained; based on the environment temperature and humidity and the operation current collected in the actual operation of the switch cabinet, the trained PINN is used for prediction, and the steady-state relative humidity of the current transformer is obtained. According to the invention, based on the limited boundary monitoring data, efficient and accurate reconstruction of the humidity field of the key area in the switch cabinet is realized, and a feasible path is provided for equipment state sensing and condensation risk early warning.

The invention discloses an airport high-fill soil rainfall seepage field analysis method and system. The method comprises the steps that first-level slope sections on the two sides of a branch ditch in a high-fill area are selected, and simplification assumption is conducted on an engineering structure of the first-level slope sections in combination with foundation investigation and design data; functional partition is carried out on the research area, and structured grid division is carried out on each functional partition through simulation software; based on an unsaturated soil water flow theory, selecting a mathematical model for describing a relationship between a soil water characteristic curve and a permeability coefficient, inputting physical and mechanical parameters of a filled soil body, setting boundary conditions of a seepage model, and completing construction of the seepage model; designing at least two typical rainfall working conditions; carrying out saturated-unsaturated seepage simulation, and recording dynamic change data of pore water pressure and a transient saturation region under different working conditions; and carrying out multi-dimensional quantitative analysis on a simulation result, and summarizing an association rule of rainfall parameters and a seepage field. And safe operation of airport engineering is ensured.

The invention discloses a wind turbine blade semi-coupling aeroelastic modeling method considering nonlinear deformation, and belongs to the technical field of fan simulation calculation. In combination with calculation parameters used by three-party software, establishing a blade structured load model and a blade correction aerodynamic model, calculating an aerodynamic load and a structural load, and superposing: superposing the aerodynamic load, the gravity load and the centrifugal force load of the blade as an external load of a nonlinear structure control equation of the blade, and taking the external load as a calculation parameter; according to the method, the blade nonlinear structure model and the semi-coupling simulation process of the three-party wind turbine simulation software are constructed, and under the same simulation environment and load conditions, the blade nonlinear structure model and the three-party wind turbine simulation software can be subjected to semi-coupling simulation, so that the blade nonlinear structure model and the three-party wind turbine simulation software can be subjected to semi-coupling simulation calculation. The higher-precision non-linear motion response characteristics of the super-long flexible wind turbine blade are calculated, and a good effect can be achieved in the aspects of initial structure design and response evaluation of the large wind turbine blade.

The invention discloses a double-row medium-length hole blasting method for a filling stope. According to the method, a theoretical value range of each blasting parameter is deduced according to field engineering practice, an ore rock blasting crushing mechanism and a blasting parameter theoretical formula. The method comprises the following steps of: constructing a stope blasting model with different hole bottom distances, explosive unit consumption and resistance line combinations by using ANSYS numerical simulation software in combination with physical and mechanical properties of ore rocks and field explosive performance parameters, and preferably selecting double-row medium-length hole blasting parameters according to a chamber effective stress distribution rule and a roof area vibration velocity peak value of the ANSYS blasting model. According to the method, by selecting the double-row optimal medium-length hole blasting parameters, it is guaranteed that ore rocks in the chamber are fully crushed, the effective stress invading the roof and the blasting vibration velocity peak value are reduced, and the roof is prevented from being damaged. And meanwhile, the explosive loading amount is reduced, the economic cost is reduced, and the production efficiency of a mine is improved.

The invention provides a high-precision dot matrix density cosmetic contact lens development method and system, a medium and a product, and relates to the technical field of cosmetic contact lens production, and the method comprises the steps: obtaining multi-mode fashion data through a crawler technology, and extracting a trend language intention vector from the multi-mode fashion data; based on a pre-trained neural network model, mapping the trend language intention vector into a microscopic physical parameter for defining a cosmetic contact lens pattern to obtain an initial dot matrix parameter set; performing graphical rendering on the initial dot matrix parameter set to obtain a plurality of initial cosmetic pupil dot matrix patterns; simulating the wearing effect of each initial cosmetic contact lens dot matrix pattern on the three-dimensional human eye model through simulation software to obtain a plurality of virtual wearing effect pictures; and determining the initial cosmetic contact lens dot matrix pattern of which the aesthetic evaluation score is greater than a preset score threshold as a final cosmetic contact lens dot matrix pattern. By implementing the method, the limitation of a traditional design element library can be broken, the generation of the cosmetic contact lens pattern is more innovative and diversified, and the innovativeness and the popular integrating degree of the cosmetic contact lens pattern are improved.

The present invention relates to the technical field of steel metallurgy process simulation, and specifically relates to a simulation method for particle motion and interaction behavior within a continuous casting mold. The simulation method comprises the following steps: acquiring mold parameters and establishing a model; performing fluid domain volume extraction and structured mesh division on the model; importing the mesh model into simulation software and performing iterative solution; establishing injection points for argon bubbles and inclusions within the mold, compiling and calculating the flotation removal of argon bubbles and inclusions at a steel-slag interface, the capture thereof at a solidification front, and collision-aggregation, and performing coupled computation; and post-processing the simulation results to obtain the flow field, temperature field, solidified-shell distribution, and discrete-phase motion behavior within the mold at different time points. The method of the present invention enables analysis of the motion and interactions of discrete-phase particles such as argon bubbles and inclusions within the mold, thereby accurately predicting the distribution of the particles in the molten steel and the solidified shell.

The invention provides an insulating material surface arc ablation resistance simulation method based on magnetohydrodynamics, and belongs to the field of insulating material performance detection. The method comprises the following steps: establishing an insulating material surface arc ablation resistance model; constructing a magnetohydrodynamic control equation set; setting boundary conditions of the model; and iteratively solving the magnetohydrodynamic control equation set through finite element simulation software to obtain a temperature distribution diagram of the insulating material under different arc ablation times, and comparing the temperature distribution diagram with a TGA curve of the insulating material to judge the arc ablation resistance of the insulating material. According to the invention, the power-frequency alternating-current high-voltage arc and the insulating material are used as simulation objects, engineering practice is better met, the surface arc ablation resistance process of any insulating material can be simulated by changing the physical characteristic parameters of the insulating material, and the TGA curve of the material is introduced to judge the arc ablation resistance of the insulating material. And technical support is provided for high-voltage switch equipment insulating material type selection.

The invention discloses an identification and positioning method for power cable defects and short-circuit faults. The defect identification and positioning method comprises the following steps: establishing a power cable transmission line simulation model and a partial discharge simulation model by using electromagnetic transient simulation software; obtaining a partial discharge signal according to the power cable transmission line simulation model and the partial discharge simulation model, and identifying the partial discharge signal based on an SSA-BP algorithm; performing preliminary positioning on the power cable by adopting an ultrasonic, high-frequency and ultrahigh-frequency detection method; accurate positioning of power cable defects is realized through an infrared heat and sound wave positioning principle. According to the method, a simulation analysis method is adopted to obtain a sample, and then accurate identification of a cable fault is realized through a BP neural network (SSA-BP) optimized based on a sparrow search algorithm. And meanwhile, accurate cable fault positioning is realized aiming at different fault positions.

The invention relates to an iron tower foundation safety analysis method considering the dry-wet cycle effect. The method comprises the following steps that 1, a soil body strength degradation constitutive model is established; 2, determining iron tower foundation structure parameters and soil body parameters; 3, establishing an iron tower foundation-soil body three-dimensional geometric model by utilizing three-dimensional modeling software and rock-soil finite element simulation software; 4, applying a load transmitted to the iron tower foundation by the power transmission iron tower in the iron tower foundation-soil body three-dimensional geometric model, defining initial parameters, and establishing a rainwater seepage and dry-wet cycle coupling effect analysis model; 5, analyzing and predicting the cycle index when the safety coefficient of the iron tower foundation is reduced to a threshold value from the two aspects of tower foundation ultimate bearing performance and iron tower foundation-soil body interaction on the basis of a rainwater seepage and dry-wet cycle coupling effect analysis model; according to the method, an efficient and accurate numerical analysis means can be provided for safety assessment of the power transmission tower foundation in the collapsible loess area.

The invention discloses an expressway reconstruction and extension traffic diversion method, system and device and a medium, and the method comprises the steps: obtaining multi-source dynamic traffic data, and constructing a road network origin-destination matrix through data fusion and demand deduction; a traffic flow distribution result is obtained by constructing a system optimal traffic distribution model; identifying the first congestion time period, and calculating the traffic flow exceeding the residual traffic capacity in the congestion time period to obtain the traffic flow to be shunted; solving an optimal shunting path under the target of minimizing the total travel time of the system through a hybrid intelligent algorithm to obtain an optimal shunting path scheme; and verifying the optimal shunting path scheme by using microscopic traffic simulation software, updating traffic data based on a simulation result, and carrying out iterative optimization to obtain a differentiated traffic organization scheme. According to the invention, the traffic flow passing efficiency during the highway reconstruction and extension period is effectively improved.

The invention relates to a large-scale high-temperature alloy blank casting method capable of controlling the casting size, and belongs to the technical field of high-temperature alloy casting. Measuring a temperature curve of the sand mold after the high-temperature alloy is poured; a process model is created, simulation software is used for carrying out stress deformation simulation, a part model of the casting is created, the simulation result of the part model and the simulation result of the process model are compared, the reduced scale, correction and the machining amount are adjusted in real time, and the process model is obtained; manufacturing a process pattern according to the process model, and producing a sand mold by utilizing the process pattern; creating a sand core model, inputting sand mold temperature curve parameters into simulation software, carrying out sand core deformation stress simulation, measuring sand core deformation stress, and manufacturing a core box according to the sand core model; a core bar is manufactured according to the design, the manufactured core bar is placed in a core box, and a sand core is manufactured; demolding the sand core; combining the sand core with the sand mold to obtain a casting cavity; and molten steel is poured into a casting cavity, and a casting blank is formed after cooling and solidification.

The invention relates to a traffic simulation agent system construction method based on a large model, and the method comprises the steps: constructing a simulation tool library, and achieving the precise evaluation and continuous optimization of a simulation result through the fusion of multi-source heterogeneous traffic data, the construction of standardized input, and the establishment of a quantitative evaluation system. A large language model is utilized to understand a natural language instruction of a user, tasks are intelligently disassembled, an execution process is planned, dependence management and parallel scheduling are carried out in combination with a directed acyclic graph, and professional tools are driven to automatically execute. And performing evaluation, problem diagnosis and adaptive re-planning on an execution result through a large language model reflection mechanism to form an understanding-planning-execution-reflection closed loop. According to the method, the problems of how to assist a user to interact with a traffic system by utilizing an agent technology driven by a large language model, reducing the technical threshold of traffic simulation software use and saving time cost and labor cost are solved, the traffic simulation use threshold is reduced, the automation and intelligence level is improved, and efficient and accurate traffic system interaction and optimization are realized.

The invention relates to a full-convolution deep-convolution generative adversarial network fusion process constraint-based artificial intelligence pressure-resistant shell design method, which comprises the steps of constructing a simulation model, the method comprises the steps of setting a pressure-resistant shell shape parameter range and step length and a pressure-resistant shell material, setting a rib parameter range and step length, performing simulation software modeling, and calculating the volume, the weight and the maximum pressure-resistant value of the pressure-resistant shell. Constructing a data set, and generating a plurality of basic samples according to the parameters of the simulation model; an AI model is constructed, the AI model is a full-convolution deep-convolution generative adversarial network architecture, the AI model comprises a forward prediction model and a reverse design model, the forward prediction model comprises three convolution layers of a full-convolution structure, and the reverse design model comprises three transposed convolution layers of the full-convolution structure; training and optimizing the AI model; and intelligently designing the pressure-resistant shell by using the AI model. The design efficiency is improved, the feasibility of the design scheme is high, and the withstand voltage value prediction precision and the parameter generation accuracy are improved.

The invention discloses a data center dynamic air-conditioning load rapid calculation method, which comprises the following steps of: 1, summarizing data center cold load influence factors as an input condition of a calculation model; 2, constructing a standardized data center reference model based on building energy consumption simulation software; 3, based on the building geometrical characteristics and thermal performance of the target data center, correcting the enclosing structure load of the reference model by adopting an area correction method, and constructing an enclosing structure load rapid calculation model; 4, automatically resetting an internal heat source load calculation result, and constructing an internal heat source load rapid calculation model; 5, correcting the fresh air load of the reference model by adopting a volume correction method based on the geometric characteristics of the target data center building, and constructing a fresh air load rapid calculation model; and step 6, forming a target data center dynamic air-conditioning load rapid calculation method, and obtaining a hourly cooling load prediction result required for covering the whole year or a design stage.

The invention discloses a method and device for predicting abrasive particle impact damage on the surface of a carbon fiber plate, relates to the field of aerospace material performance research, and can solve the problem that the evolution process of damage to the carbon fiber plate caused by micro-scale abrasive material impact cannot be directly observed and obtained in real time at the present stage, and the method comprises the steps that a gas-solid two-phase flow field model in a nozzle is established; setting a discrete phase injection source in CFD simulation software, and determining abrasive particle motion data according to the gas-solid two-phase flow field model in the nozzle after grid division; establishing a three-dimensional model of the abrasive particles in finite element modeling simulation software and carrying out grid division; a carbon fiber plate model is established in explicit dynamics simulation software, the abrasive particle three-dimensional model obtained after grid division is imported into the carbon fiber plate model, the initial impact speed of the abrasive particles on the carbon fiber plate model is set according to abrasive particle motion data obtained through calculation of CFD software, and the damage result of the carbon fiber plate is determined through impact simulation calculation of the abrasive particles on the carbon fiber plate. The method is used for simulating and predicting the damage caused by impact of the microscale abrasive on the carbon fiber plate.

The invention belongs to the technical field of semiconductor device simulation, and particularly relates to a method for rapidly calibrating BDTI surface potential and a related device. The method comprises the following steps: establishing a CIS BDTI device structure through simulation software; introducing silicon data, and calibrating an ion distribution curve in the device structure by taking a true value of SIMS concentration as a reference to obtain a device simulation model for concentration distribution calibration; replacing a surface high dielectric constant layer of the device simulation model for concentration distribution calibration with an electrode layer; and introducing the actually measured potential of the high dielectric constant layer of the device into the electrode layer to complete the surface potential calibration of the device. According to the invention, the surface high dielectric constant layer is directly replaced by the electrode layer, so that the potential of the surface high dielectric constant layer can be directly set as the potential of the actually measured high dielectric constant layer, the process of collecting, continuously increasing and adjusting positive and negative charges for many times and continuously adjusting the potential value of a High K material is avoided, and the calibration process is remarkably shortened.

The invention discloses an intelligent denoising and enhancing method and system for ground penetrating radar signals, and relates to the technical field of ground penetrating radar data processing.The method comprises the following steps that forward modeling software is used for generating a synthetic radar profile, analog noise is added to the radar profile, a noisy profile is generated, and a training data set is constructed; a DRSN-ATT-UNET network model is constructed and trained, the network model takes U-Net as a basic framework, a deep residual shrinkage module is integrated in an encoder, and an attention gating module is integrated in jump connection; actual ground penetrating radar profile data to be processed are loaded, and standardized preprocessing is carried out; inputting the preprocessed profile data into the trained network model, and outputting a de-noised and enhanced radar profile; and carrying out anti-standardization post-processing on the model output, and outputting a radar image with a high signal-to-noise ratio. According to the method, the ground penetrating radar noise in complex environments such as mines can be effectively suppressed, the data quality is remarkably improved, and a reliable basis is provided for accurate geological interpretation.

The invention relates to the technical field of bearing life calculation, in particular to a transmission bearing installation pre-tightening amount calculation method and system, and the method comprises the steps: S1, building a finite element mesh model of a transmission housing and a shaft through finite element simulation software based on predefined material attributes; the material attributes comprise elastic modulus, Poisson's ratio and thermal expansion coefficient of the transmission shell and the shaft; s2, based on the actual working condition of transmission assembly life simulation analysis, importing the finite element mesh model of the transmission shell and the shaft into a pre-constructed multi-body dynamics simulation model of the transmission shell, and establishing node connection between the finite element mesh model of the transmission shell and the shaft and a transmission part in the multi-body dynamics simulation model; s3, setting a detection object and a design variable, and adopting a preset strategy to obtain a target mapping curve of the detection object and the design variable; compared with the prior art, the optimal relation between the pre-tightening amount and the service life of the bearing can be quickly determined, so that the service life of the bearing is maximized.

The invention provides a terahertz tunable polarization converter and a design method thereof. The polarization converter is composed of three layers of metasurface structures. A Fabry-Perot cavity is formed through an orthogonal grating, horizontal polarization destructive interference and cross polarization constructive interference are achieved through polarization selectivity, and therefore the cross polarization average conversion efficiency up to 95% or above is achieved. Meanwhile, the working frequency of the device can be effectively adjusted by adjusting the interlayer spacing. The design method comprises the specific implementation steps that the initial structure size and the material attribute of the three-layer metasurface are set; setting an objective function representing the performance of the terahertz polarization converter, and importing the initial structure of the polarization converter into electromagnetic field simulation software for simulation to obtain an objective function value of the initial structure of the polarization converter; and performing iterative optimization on the three-layer metasurface initial structure by using a multi-target particle swarm optimization algorithm until the optimized structure meets the target requirement, and obtaining the optimal design parameters of the metasurface structure.

This invention relates to the field of blasting testing technology and discloses a method for quantitatively representing intrusive blasting waves within a double-layer curtain wall space. The method includes establishing an experimental system, creating a basic model of the double-layer curtain wall structure, conducting blasting experiments, verifying the accuracy of the LS-DYNA simulation software's simulation of the experimental content, and parameter analysis. The parameter analysis includes quantitative analysis using blasting wave intensity, intrusion hole height H, and the distance C between the outer and inner curtain walls as variables. Through finite element simulation, combined with extensive data and theoretical analysis, a method for calculating the peak pressure of the intrusive blasting wave inside the structure is derived. This method for quantitatively representing intrusive blasting waves within a double-layer curtain wall space has the advantage of ease of use. It allows for the exploration of the blasting wave pressure inside the structure and the corresponding implementation of structural protection designs, effectively improving the scientific rigor and reference value of internal structural protection designs, and making a significant contribution to the stable management of structural safety.

The invention relates to the technical field of chemical flooding recovery efficiency improvement, in particular to a polymer-surfactant binary in-situ emulsification system assisted water-gas alternating flooding numerical simulation method which comprises the following steps: determining reaction kinetic components of an emulsification reaction; establishing a reaction kinetic equation of an emulsification reaction; determining reaction kinetic parameters of the emulsification reaction; establishing a reaction kinetic model of the emulsion reaction; and creating a geological concept model based on CMG software, and carrying out optimization design on an oil production scheme. According to the method, in-situ generation, demulsification, solid-phase trapping, flow dispersion and polymer degradation processes of emulsion are quantitatively described by utilizing a reaction kinetic equation, and a physical process is ingeniously represented by utilizing chemical reaction kinetics in combination with mature reservoir numerical simulation software; functional numerical simulation development is carried out on polymer-surfactant binary in-situ emulsification system assisted water-gas alternating flooding, and a set of practical polymer-surfactant binary in-situ emulsification system assisted water-gas alternating flooding numerical simulation method is formed.

The invention discloses a cutting and welding method for a rectangular frame steel member, which relates to the field of cutting and welding processes, and comprises the following steps: S1, selecting steel of a preset material, constructing a three-dimensional model according to the design size of a rectangular frame, inputting material parameters to a process database, and simulating the distribution of a welding temperature field and a stress field through simulation software, and the cutting allowance, the reverse deformation and the welding sequence scheme of the steel blank are output. According to the method, laser cutting and plasma cutting are accurately matched, parameter optimization of three-dimensional nesting software is combined, the cutting precision is improved, based on simulation preset reverse deformation, dynamic clamping of a self-adaptive tool and symmetrical welding of double robots are matched, and the diagonal deviation of a rectangular frame is reduced; and the flatness error is reduced through post-welding high-frequency induction correction, and the high-precision assembly requirement is met.

The invention relates to the technical field of high-performance computing and artificial intelligence crossing, and discloses a method for automatically generating a simulation computing task on a supercomputing platform, which comprises the following steps of: receiving a task demand of a user; performing semantic understanding and parameter extraction on the input by using a parameter dynamic analysis engine to generate a simulation parameter table; based on the simulation parameter table and the input format specification of the target simulation software, an executable parallel computing task script is automatically generated through a self-adaptive script generator; according to the real-time resource state and the task requirement of the supercomputing platform, a dynamic scheduling algorithm is adopted to distribute the task script to the optimal computing node; in the task execution process, the running state is monitored in real time, and when abnormity is detected, a fault-tolerant and self-repairing mechanism is triggered; by automatically generating the task script, the user parameter configuration time is saved, and the overall scientific research efficiency is improved by more than 30%; natural language input and zero code configuration are supported, and common scientific researchers can quickly master the method.

The present invention relates to the technical field of electrodeposition, and relates to a simulation method for flow field distribution and deposition morphology in ultrafast laser-assisted electrochemical deposition. The steps of the method comprise: constructing, in multiphysics simulation software, a two-dimensional axisymmetric multiphysics coupled field model for heat transfer, solid and fluid heat transfer, tertiary current distribution, and laminar flow; constructing a geometric model of a deposition cell and a substrate, and setting laser properties, material physical parameters, and electrodeposition properties in the multiphysics simulation software; constructing an ultrafast laser heat transfer model on the basis of a two-temperature equation; setting initial and boundary conditions of the ultrafast laser heat transfer model, and constructing an electrodeposition field; coupling the ultrafast laser heat transfer model with the electrodeposition field to construct an ultrafast laser-assisted electrochemical deposition model; delineating a grid; and performing calculation and analysis. In the present invention, ultrafast laser is incorporated to perform multiphysics coupling of a thermal field, a flow field, an electric field, etc., and a two-temperature equation and tertiary current distribution are incorporated to the model, thereby achieving the accuracy and comprehensiveness of prediction models.

The invention relates to a heterogeneous human head model construction method and system oriented to multi-physics field simulation, based on real human head T1 weighted magnetic resonance image data, key tissues such as white matter, gray matter and cerebrospinal fluid are accurately segmented, and a three-dimensional geometric model used for generating carrying tissue identification information is researched and developed; converting the model data into a file format conforming to the NASTRAN standard by utilizing an independently developed format conversion program, and completely retaining organization classification information; finally, different tissue areas are automatically recognized through physical field simulation software, corresponding frequency dependent material attributes are distributed, and a finite element model capable of being directly used for simulation is formed. According to the method, seamless integration of the high-precision heterogeneous human head model and the simulation platform is achieved, tedious manual repairing and assignment operation is not needed, the method has the advantages of being high in precision, high in efficiency and good in compatibility, and the authenticity and reliability of biomedical simulation such as transcranial magnetic stimulation and radio frequency coil design can be remarkably improved.

The invention relates to an automatic driving simulation test system based on a local cluster. According to the system, a local structured file is used as a database, a plurality of common computers are built into a distributed computing cluster through an SSH protocol, and a Web front end is integrated to provide a user interface. The core executes a priority scheduling algorithm fused with a dynamic adjustment and preemption mechanism through an intelligent scheduling and control module, and drives a simulation software API (Application Program Interface) to realize full-process automation from task submission, scheduling, distributed parallel execution, state monitoring to result collection and report generation. The invention further relates to a corresponding method and device, a processor and a computer readable storage medium. According to the automatic driving simulation test system, method and device based on the local cluster, the processor and the storage medium, the problems that an existing simulation test cloud platform is high in cost and complex in deployment are effectively solved, and an efficient, low-cost and high-flexibility test solution is provided for automatic driving research and development.

The invention discloses a wind power tapered roller bearing retainer slip rate calculation model which is simple in structure and can be suitable for various working conditions and structure parameter combinations. A user only needs to input parameters such as the rotating speed of the inner ring, the radial force, the axial force, the inclination angle of the pressing slope surface, the pressing slope depth, the curvature of the pressing slope surface and the pocket gap, and the corresponding slip rate of the retainer can be quickly calculated. The model is verified through multi-body dynamics simulation software, and the result has high accuracy.

The invention discloses a simulation method and system for improving the simulation efficiency of a PIN diode, and belongs to the technical field of semiconductor device simulation, and the method comprises the steps: firstly, employing a hash table data structure to optimize the preprocessing process of a semiconductor physical model time domain numerical method, and remarkably improving the parameter preprocessing efficiency; carrying out bandwidth compression optimization on the sparse matrix in combination with an inverse Cuthill-Mckee matrix reordering algorithm; and secondly, constructing a parallel iteration solver architecture to realize efficient distributed solution of a large nonlinear matrix equation. Through cooperative application of the method, the overall calculation efficiency of a PIN diode numerical simulation program is improved by more than three times compared with that of traditional commercial simulation software COMSOL on the premise that the calculation precision is kept, the industrial problem that the simulation timeliness of a semiconductor device is limited is effectively solved, and an innovative technical path is provided for high-precision real-time simulation. The method has important application value in the fields of power device design, integrated circuit simulation and the like.