1829 results about "Simulation software" patented technology

The invention provides a fan system multi-physics field coupling simulation and modeling method and device, and the method comprises the steps: building a coupling simulation frame of an electromagnetic field, a temperature field, a flow field and a structural mechanical field through multi-physics field collaborative modeling, employing a finite volume method FVM and multi-body dynamics MBS for collaborative solving, and precisely simulating the dynamic response of a fan under a complex working condition. And real-time simulation and verification: combining an S CADA system and a machine learning algorithm to realize online calibration and dynamic verification of a multi-physics field model, and supporting fan structure stability prediction under extreme conditions of typhoon, turbulence and the like. A multi-physics field coupling simulation software environment is developed, the functions of wake effect analysis, fan array layout optimization and the like are provided, the construction cost of an offshore wind field is reduced, and the power generation efficiency is improved.

The invention discloses a parameter feature-based test case generation method and a related product. In the scheme, a parameter document of target simulation software is obtained; and extracting parameter feature information of the target simulation software based on the parameter document. And on the basis of the parameter feature information, matching a test case template and a code generation rule in a pre-constructed code knowledge base, and generating an initial test case code. And dynamically optimizing the initial test case code according to feedback data generated in a simulation test process to generate a target test case code. According to the technical scheme, the parameter feature information is automatically extracted, the complex dependency relationship between the parameters is accurately analyzed, the test case is automatically generated based on the knowledge base matching template and rule, software changes are adapted in real time in combination with a dynamic optimization mechanism, dynamic and efficient generation of test case codes is achieved, and the test efficiency is improved. The coverage degree and the adaptability of the test case codes are improved, and then the accuracy, the comprehensiveness and the efficiency of the test are improved.

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 provides an intelligent spraying composite robot system based on a large language model and a method thereof, and relates to the field of intelligent robots and automatic spraying, the intelligent spraying composite robot system comprises a chassis, a mechanical arm, a spraying gun, a camera, an instruction receiver and a controller; a mechanical arm and an instruction receiver are carried on the chassis; spray guns and cameras are mounted on the mechanical arms; the instruction receiver receives a natural language voice instruction, analyzes semantics through a large language model, and generates an action instruction; the controller comprises a motion control module, a three-dimensional point cloud data acquisition module, a feature point extraction module, a track planning module and a spraying operation module; the method improves the man-machine interaction, reduces the use threshold of the robot, is easy to operate, gives play to the spraying advantages of the composite robot, does not need to program in mainstream offline simulation software, can generate a spraying path with adjustable and controllable parameters only by collecting the point cloud template of the workpiece and selecting the feature points, and can be widely applied to furniture, furniture and the like. And spraying operation in the fields of automobiles, aerospace and the like.

The invention provides a high-voltage switch cabinet anti-condensation method based on simulation optimization and a storage medium. A three-dimensional physical structure model of the high-voltage switch cabinet is established in simulation software, material attributes and boundary conditions of all parts are set, steady-state or transient simulation calculation is carried out, and distribution of a temperature field, a humidity field and a flow velocity field in the cabinet is obtained. And on the basis of a simulation result, constructing a dew point distribution matrix, identifying condensation risk areas, and extracting geometric center, volume and temperature and humidity characteristics of each risk area. And the arrangement point and the power level of the heater are determined by calculating the heating power required by each condensation risk area, so that the anti-condensation design of the high-voltage switch cabinet is realized. According to the method, the condensation risk area in the cabinet can be accurately identified, the configuration of the heating power is optimized, and the balance and high efficiency of the anti-condensation effect are ensured. According to the invention, the precision and reliability of the anti-condensation design are improved, the problem of excessive heating or insufficient heating is avoided, and the safe and stable operation of the high-voltage switch cabinet in a complex environment is ensured.

The invention relates to the technical field of alloy pouring processes, in particular to a magnesium alloy heterogeneous flow overall coordination pouring process which comprises the steps of conducting pouring numerical simulation through simulation software, optimizing pouring design and determining a composite flow guide structure, a mold temperature control scheme and an alloy component regulation and control strategy. Magnesium alloy smelting and refining are conducted; preheating the mold by using an intelligent temperature control system; during the period, the intelligent temperature control system monitors and adjusts the temperature of the mold, and the online alloy adding system and the impurity adsorption filtering device keep the components of the melt uniform and pure; and after pouring is completed, controlling the mold temperature according to a preset cooling curve to slowly and uniformly solidify the melt. The design of the bionic branch-shaped flow dividing structure, the dynamic adjustable flow guide plate and the like reduces casting defects, and the casting forming quality is improved. And on-line alloy adding and impurity adsorption filtering ensure that melt components are stable, and the casting performance is improved.

A rapid multiphysics inversion method and apparatus for a power device, a device and a storage medium, relating to the technical field of power device inversion. The method comprises: using simulation software to construct a multiphysics simulation model of a power device; constructing a data set on the basis of a predefined input parameter set and output parameter set; by means of using a preset data order reduction method, performing order reduction on the data set, so as to obtain an order-reduced data set and an order reduction matrix; by means of using a preset inversion method, fitting the relationship between the order-reduced data set and the input parameter set, so as to obtain an inversion coefficient matrix; and on the basis of the order reduction matrix, the inversion coefficient matrix and an input parameter set to be inverted, performing rapid inversion on the multiphysics simulation model, so as to obtain a multiphysics inversion result of the power device. The present invention can obviously reduce the amount of calculation while satisfying calculation precision, achieves high calculation efficiency, and can adapt to the requirements for online monitoring and real-time simulation of power devices.

The invention relates to the technical field of gangue filling, in particular to a coal mine gangue roadway type filling method which comprises the following steps: (1) screening gangue, and classifying the gangue into corresponding particle size groups according to particle sizes; (2) designing grading schemes according to the particle size groups divided in the step (1), performing simulation by using PFC2D numerical simulation software to obtain stress-strain curves of the grading schemes, and selecting the grading scheme with the maximum peak stress as the optimal grading scheme; and (3) filling the roadway type filling area according to the optimal grading scheme determined in the step (2). According to the method, the optimal grading scheme is determined by simulating the stress damage process of the internal structure of the original waste rock filling body under different particle size grading schemes through PFC2D, simulation verification shows that the stress concentration condition of the left side and the right side of the filled roadway is improved, the filling body filled in the roadway can replace roadway surrounding rock to bear part of pressure, and the working efficiency is improved. The problem that the crushing pressure is large when small-particle gangue is used in the prior art is 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 discloses a power generation efficiency optimization method for a floating photovoltaic power generation system. The method comprises the following steps: analyzing the motion response of a floating body in a marine environment, and determining the boundary condition of the floating body swinging under the action of waves; based on hydrodynamic analysis software AQWA, a hydrodynamic analysis model of the floating body is built, and the pitching angle of the floating body is verified; in combination with an inclined surface irradiance calculation model, an improved particle swarm algorithm is adopted for optimization, and the initial inclination angle of the photovoltaic panel when the photovoltaic panel receives solar radiation energy to the maximum extent is solved; in combination with different wave conditions of a certain sea area, simulation software is used for performing dynamic simulation on the floating body and the assembly, the influence of different environmental conditions on the power generation efficiency is analyzed, and the effectiveness of the scheme is verified. According to the method, the optimal initial angle is determined by optimizing the initial mounting inclination angle of the assembly, fully considering the movement condition of the floating body under the action of waves and combining the influence of different wave conditions, the radiation quantity received by the assembly is maximized, and the defects in the aspects of laying design, dynamic adaptability and power generation efficiency in the prior art are overcome.

Disclosed in the present invention are an intelligent liquid cooling plate optimization method and apparatus based on CFD numerical simulation. The method comprises: first, establishing a 3D battery pack model on the basis of liquid cooling plate design parameters and other component design parameters; then, on the basis of the 3D battery pack model, performing thermal simulation modeling and thermal simulation calculation on a battery pack; on the basis of a thermal simulation result, using a particle swarm multi-objective optimization algorithm to optimally calculate locally optimal solutions of the liquid cooling plate design parameters, and determining whether the locally optimal solutions converge; and using a loop iteration mode to calculate the locally optimal solutions of the liquid cooling plate design parameters until the locally optimal solutions converge, and then obtaining globally optimal solutions. Three-dimensional CAD software, CFD simulation software and an optimization interface are interconnected to each other, so that the operation of the whole process of design, simulation and optimization of a liquid cooling plate can be completely and intelligently realized simply by means of inputting key design parameters of the liquid cooling plate in an initial design stage; and an optimal design scheme is obtained by means of implanting the particle swarm multi-objective optimization algorithm. The present invention achieves a high speed and high efficiency.

The invention provides a power system voltage control method and device based on dynamic steady state collaborative correction, and the method comprises the steps: building an electromagnetic transient model for a preset voltage node in electromagnetic transient simulation software PSCAD, simplifying a power grid with the electrical distance to a target region exceeding a preset distance into a dynamic Thevenin equivalent model, initializing load flow calculation in the BPA to obtain a dynamic-steady state hybrid model; updating dynamic Thevenin equivalent parameters of the power system in real time according to the data of the phasor measurement unit of the power system, and synchronizing the dynamic Thevenin equivalent parameters to the BPA; based on the dynamic-steady state hybrid model, the transient overvoltage of the power system is suppressed within the time shorter than the first preset duration, and the steady state voltage of the power system is optimized within the time shorter than the second preset duration in combination with wide-area coordination control, so that the parameter bidirectional correction of the dynamic and steady state models is realized, and the head end voltage prediction error is reduced. And the voltage control robustness is improved.

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 air suspension and ESC coordination control method and system based on deep learning, and belongs to the field of automobile braking, and the method comprises the following steps: S1, collecting historical data of vehicle driving, generating extreme working condition data by using vehicle dynamics simulation software, and forming a training data set; s2, constructing a double-branch fusion control model, and training the double-branch fusion control model; s3, vehicle state parameters and road surface condition data are collected in real time; s4, after feature extraction and fusion are carried out on the processed multi-source parameters, the trained double-branch fusion control model is input, and an optimal control strategy is generated; and S5, the ESC executes the optimal control strategy and collects vehicle state data after execution to form a control closed loop. By the adoption of the air suspension and ESC coordinated control method and system based on deep learning, the deep learning and the vehicle dynamics model are combined, the vehicle motion state can be monitored in real time, accurate control is conducted according to real-time data, and the potential out-of-control situation is avoided.

The invention discloses a reciprocity theorem-based array antenna multi-beam pattern synthesis method, which comprises the following steps of: establishing an array antenna model in electromagnetic simulation software, and extracting a radiation pattern of each antenna unit; defining the number and direction of to-be-formed beams and the gain ratio between the beams; establishing an array antenna energy transmission efficiency transfer function, calculating scattering parameters of each antenna unit of the array antenna through a reciprocal theorem and coordinate transformation, and constructing a scattering parameter matrix of a multi-antenna system; automatically adjusting parameters by using a particle swarm algorithm, and dynamically regulating and controlling the gain proportion between the beams; the optimal excitation value of each antenna unit is obtained, and a target beam is generated after actual loading. According to the invention, the multi-beam synthesis result of the array antenna is more convenient, more stable and more flexible.

The invention provides a visual underwater sensor network simulation method, and relates to the technical field of underwater sensor networks, and the method comprises the steps: configuring network simulation parameters which comprise topological structure parameters, channel parameters and simulation parameters; inputting the channel parameters into an underwater acoustic calculation tool to generate an underwater acoustic multipath channel for simulation; the bit error rate BER of the multi-carrier MFSK underwater acoustic communication algorithm under the underwater acoustic multipath channel condition is calculated, and the bit error rate BER is input into the OTcl script; performing network simulation on the configured OTcl script by using an underwater network simulator; and displaying a network simulation result through a visual interface. The underwater sensor network simulation result can be displayed through the visual interface, the defect that current NS2-based underwater sensor network simulation software does not have a visual interface is overcome, a good man-machine interaction interface can be provided for a user, the development efficiency is improved, and the user is helped to better evaluate the performance of the underwater sensor network.

The invention discloses an overhead line-high voltage cable sheath lightning stroke induced voltage calculation method. At present, the voltage of a lightning stroke point, a connection point of an overhead line and a cable and a point in a well of each joint along a cable sheath cannot be obtained at the instantaneous moment of lightning stroke of the overhead line on site. According to the method, electromagnetic transient simulation modeling is carried out on actual spatial positions, structural parameters and material parameters of field overhead lines and high-voltage cables, electromagnetic transient simulation modeling is carried out on lightning currents, electromagnetic transient modeling is carried out on normal operation conditions and actual lightning stroke fault conditions of an electric power system, and after the randomness of the fault occurrence moment is considered, the electromagnetic transient simulation modeling is carried out on the actual lightning stroke fault conditions of the electric power system. And the maximum lightning stroke induced voltage value of each point along the cable sheath after lightning stroke is calculated through electromagnetic transient simulation software, so that a reference basis is provided for insulation matching design of the cable sheath of the overhead line-cable mixed line invaded by lightning current, and a foundation is laid for design evaluation of various subsequent voltage limiters and protectors.

The invention provides an ultra-deep high-pressure gas well variable-flow-state sand-carrying capacity evaluation method, and relates to the technical field of oil-gas exploration, and the method comprises the steps: collecting well logging data of a target gas well, constructing a gas-liquid two-phase flow parameter expression, and carrying out the quantitative analysis of key flow characteristics such as the gas content and the speed; a mathematical model is established by applying an H-K flow state judgment criterion, and numerical simulation is performed in combination with fluid dynamics simulation software, so that the flow state in the shaft is accurately identified and distinguished; then, according to high-temperature and high-pressure characteristics under actual working conditions and sand shape information monitored in a mine field, carrying out secondary correction on the resistance coefficient CD so as to improve a sand-carrying capacity prediction model; and finally, the critical sand-carrying flow velocity and yield are calculated based on the corrected model, and a scientific basis is provided for setting the sand-carrying capacity and reasonable production parameters of the gas well in different flow states. Safe and efficient development of a gas reservoir is guided, production parameter setting is optimized, and long-term stable and efficient operation of a gas well is ensured.

The invention relates to the technical field of blasting simulation, in particular to a blasting simulation method suitable for a fractured and broken surrounding rock tunnel, which comprises the following steps: acquiring geometrical characteristics of the tunnel, and generating a three-dimensional model of the tunnel; surrounding rock fracture characteristic data and basic physical and mechanical parameters are obtained and input into numerical simulation software; according to the blast hole arrangement parameters, marking blast hole positions in the tunnel three-dimensional model, and associating the blast hole arrangement parameters with basic physical and mechanical parameters in numerical simulation software to obtain a key feature combination; based on the key feature combination, simulating the dynamic response characteristics of the surrounding rock under the blasting load effect in the blasting process in numerical simulation software; and obtaining a surrounding rock dynamic response simulation result according to the dynamic response characteristics. Accurate simulation of the tunnel blasting process is achieved, blasting design is optimized, construction safety and efficiency are improved, and reliable technical support is provided for tunnel engineering.

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 provides a vehicle dynamics performance analysis method and system considering suspension parameter performance degradation, and relates to the technical field of railway vehicle dynamics, and the method comprises the steps: building a nonlinear Maxwell hydraulic damper model; establishing a vehicle system dynamics model in simulation software based on a vehicle dynamics theory; integrating the nonlinear Maxwell hydraulic damper model into a vehicle system dynamic model, and establishing a vehicle system nonlinear dynamic model considering suspension parameter performance degradation; setting model parameters of the nonlinear Maxwell hydraulic damper to obtain a simulation result; and analyzing the dynamic performance evaluation index of the vehicle so as to complete dynamic performance evaluation of the vehicle under the conditions of actual service mileage and environment temperature. The method effectively reflects the influence of suspension parameter degradation on the dynamic performance of the vehicle, improves the precision of a dynamic simulation model of the railway vehicle and the reasonability of an analysis method, and has important theoretical research significance for innovative design and intelligent operation and maintenance of the railway vehicle.

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 full-automatic intelligent simulation method and system for an electric power system driven by a large language model, and belongs to the field of electric power system simulation calculation. The simulation method comprises an offline optimization stage and an online application stage. An off-line optimization stage: acquiring a simulation parameter file of the power system and a modification range of each parameter, and designing a training command pool containing executable and non-executable commands; constructing a command generator and a cue word optimizer based on the large language model to form a generative adversarial framework; system cue word optimization is realized based on the framework, and an optimal cue word is obtained; the online application stage comprises the steps that after a user inputs a natural language command, a large language model recognizes the command and matches an optimal cue word, and the command is input into each parameter modifier to adjust simulation parameters; and verifying whether the parameters are within an allowable range, and if the verification is passed, calling simulation software to carry out power system simulation calculation. The simulation automation level and the intelligent interaction experience of the power system are remarkably improved, and the practical value is high.

The invention relates to the technical field of software, in particular to a low-code-based industrial simulation software development and application method and system.The method comprises the steps that firstly, component packaging is conducted on multiple subjects, and an industrial simulation component library is generated; then, based on a user dragging instruction, assembling a target component in an industrial simulation component library to determine a function node corresponding to the industrial simulation software; generating and operating industrial simulation software on the basis of the assembly result and configuration parameters which are input or preset by a user and correspond to the components; training an AI agent model based on historical simulation data of a plurality of industrial simulation software; and receiving and analyzing the natural language instruction of the user, and generating result data corresponding to the natural language instruction of the user based on an analysis result and the AI proxy model. Therefore, the industrial simulation software can be simply and efficiently generated, the development difficulty and cost of the industrial simulation software are reduced, and the computing power cost of actual simulation calculation is greatly reduced through the use of the AI proxy model.

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 discloses a simulation method for urban flood emergency rescue path planning, and the method comprises the steps: carrying out the modeling of an urban road network based on an urban topographic map, rainfall data, existing water distribution and key position information; mIKE simulation software is used for establishing a hydrodynamic model to simulate the rainfall and flood spreading process of the city, and flood dynamic information, including the depth and flow velocity of the flood, at each position point in the flood disaster scene model is obtained; respectively constructing objective functions according to the shortest maximum time of arrival of the disaster relief point, the lowest driving risk of the rescue vehicle and the shortest total weighted rescue time; setting constraint conditions to ensure that all disaster relief points are covered, and preventing vehicles from being excessively distributed; based on the flood dynamic information, the objective function and the constraint condition, adopting an NSGA-II non-dominated sorting genetic algorithm to solve a Pareto solution set; and performing weighted analysis on a result in the Pareto solution set to obtain an optimal solution, and outputting an urban flood emergency rescue path plan.

The invention discloses a comprehensive blasting method for controlling muck pile lumpiness and vibration in surface mine blasting, which comprises the following steps: S1, early-stage preparation and parameter calculation: investigating the geological condition of a mine in detail, and obtaining such information as rock physical and mechanical properties and joint fissure distribution; according to rock properties and mining requirements, blast hole parameters are determined; calculating initial delay detonation time according to a delay blasting rock breaking principle; s2, optimizing a charging structure: selecting a water medium interval charging structure, and determining the optimal unit consumption through theoretical analysis and field test; and based on the optimal unit consumption, establishing three-dimensional models of different water medium interval charging structures by adopting numerical simulation software, and selecting the optimal water medium interval charging structure. According to the method, the muck pile lumpiness is effectively controlled; the blasting vibration intensity is reduced; the blasting quality and the economic benefit are improved; the adaptability is high.

A method for predicting microscopic holes of an aluminum alloy product and impact on macroscopic service properties includes: casting simulation, i.e., obtaining a casting simulation finite element mesh by dividing, and using casting simulation software to simulate a solidification process of a casting under corresponding process conditions to obtain macroshrinkages of the casting and physical information of each node on the mesh; cellular automata simulation, i.e., simulating microstructure growth by using a cellular automata model to obtain a secondary dendrite arm spacing (SDAS) value at each node of the casting simulation finite element mesh, and the morphology and size of microscopic holes including microshrinkages and microscopic blowholes; mechanical property simulation, and mapping and inputting mesh information of the casting simulation finite element mesh into the mechanical and fatigue property simulation finite element mesh to obtain a mechanical property simulation result; and fatigue property simulation.

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.