425 results about "Computer simulation" patented technology

The invention relates to the technical field of computer simulation, in particular to an intelligent construction method and system based on digital twinning. Comprising the steps of obtaining multi-source time sequence sensing data, loading the multi-source time sequence sensing data to a BIM model to generate an initial digital twinborn model, embedding a causal association network of construction risk factors and progress nodes into the initial digital twinborn model, and calculating directed weighted association strength of node variables to target variables; based on the causal association network, utilizing an LSTM algorithm to calculate dynamic influence weights of construction risk factors on progress nodes in real time, and generating a risk progress coupling situation prediction curve; when the prediction curve deviates from a threshold value, optimizing a construction path through process topology reconstruction, and pushing an operation instruction with space-time constraint to a terminal; the problems that in an existing intelligent construction technology, a digital twinborn model is insufficient in correlation description of construction risks and progress, and the accurate prediction capability of the risk progress coupling situation is lacked are solved.

The invention relates to the technical field of quantum computing, and provides a polariton quantum computing simulation method and related device.The method comprises the steps that parameterized quantum circuits are generated based on micromodels used for describing polaritons for all to-be-computed excitation states respectively, and the parameterized quantum circuits are generated based on initial Hamiltonian of polaritons in a ground state; the target Hamiltonian amount of the polariton in the current excitation state is obtained, then the value of each parameter is adjusted at least once, and the target energy of the corresponding excitation state is obtained. In the primary adjustment process, parameter updating is carried out on the quantum circuit, a reference quantum state of the corresponding excitation state is obtained by utilizing the updated quantum circuit, reference energy of the corresponding excitation state is obtained based on the reference quantum state and in combination with the target Hamiltonian, and then when a set convergence condition is met, the target Hamiltonian is obtained. And taking the reference energy as target energy of the corresponding excited state. The polaritons are simulated through the quantum computer, and the simulation efficiency is improved.

The invention belongs to the technical field of bioinformatics, particularly relates to a computer simulation and regulation method and system for beef cattle fat metabolism, and aims to solve the problems of excessive fat deposition, low feed conversion efficiency, difficulty in multi-objective optimization and the like in existing beef cattle breeding. A multi-scale biological network model is constructed, a computer simulation and prediction engine is developed, an intelligent intervention strategy optimization engine is designed, and implementation and feedback optimization are carried out. By reducing unnecessary fat deposition, improving the feed conversion efficiency and improving the beef quality, the economic benefit of beef cattle breeding is remarkably improved, the requirements of consumers for high-quality and safe beef products are met, and the method has important value for promoting intelligent upgrading and sustainable development of the beef cattle industry.

The invention relates to the technical field of computer simulation, and discloses a coal mine underground reservoir environment risk assessment method and system, and the method comprises the steps: constructing a digital twinborn body of a coal mine underground reservoir; establishing a risk assessment index system; collecting monitoring data corresponding to the index system in real time; calculating risk coupling factors among different dimension indexes; according to the risk coupling factor and the real-time numerical value of each index, dynamically adjusting the weight of the index system, and generating a dynamic weight set; calculating a current comprehensive risk level; and extracting physical field parameter values in the real-time monitoring data, inputting the physical field parameter values into a multi-physical field coupling simulation engine for simulation, and outputting a prediction report. According to the invention, dynamic assessment and advanced early warning of the environmental risk of the coal mine underground reservoir can be realized, the risk identification precision and the emergency response capability are improved, and the method is suitable for safety management and control of the whole life cycle of the underground reservoir under complex geological conditions.

The invention relates to the technical field of computer simulation testing, in particular to a dynamic analogue simulation testing method and system for plate type structure service deformation. The technical problem that the structural damage identification precision is insufficient when fixed signal decomposition parameters are used for processing all detection signals is solved. The method comprises the following steps: acquiring a mesoscopic parameter set and a bimodal ultrasonic guided wave original signal set of a to-be-detected plate type structure; based on the mesoscopic parameter set, determining optimization parameters for decomposing the bimodal ultrasonic guided wave original signal set; decomposing the bimodal ultrasonic guided wave original signal set based on the optimized parameters and a signal decomposition algorithm, and determining a target signal set related to structural damage; and performing simulation comparison on the mesoscopic parameter set and the target signal set, and determining the service damage state of the plate type structure. The method is used for plate type structure damage identification scenes.

The invention discloses a wind tunnel-pool combined loading floating fan distributed hybrid test method, which comprises the following steps of: establishing a floating fan multi-body / multi-physical field collaborative reduced scale criterion, dividing a floating fan into two independent physical models and two independent numerical models, and placing the two independent physical models and the two independent numerical models in different laboratories; integrating a physical model, a numerical model, a loading system and a measurement system, and building a floating fan physical-numerical distributed hybrid test platform; and carrying out data interaction and closed-loop control on the physical-numerical hybrid test platform. A fan and a floating platform are adopted as two relatively independent test substructures, test loading or computer simulation can be carried out in different laboratories by establishing different similarity criteria and geometric scale ratios, a collaborative online test and pneumatic-hydrodynamic load loading under the coupling action of wind, waves and flow are carried out through network interaction data, and the test efficiency is improved. The technical problems of environment load high-precision simulation and dynamic coupling response in a reduced scale model test are solved.

The invention discloses a direct positioning method based on cross-spectral domain subspace data fusion and Taylor expansion, which comprises the following steps of: firstly, integrating time domain receiving signals of all sensors, and segmentally calculating cross correlation of the receiving signals of every two sensors; a cross-spectrum model is obtained through cross-correlation, forward space smoothing is carried out on the cross-spectrum model, a cost function is constructed through subspace data fusion, and then the extreme value of the cost function is searched to obtain rough estimation of the position of the radiation source; and finally, obtaining a position compensation value by using Taylor expansion to obtain the precise estimation of the position of the radiation source. According to the method, the complexity of calculating the subspace can be reduced, the hardware and calculation burden of the base station is reduced, and the real-time requirement of the time difference positioning system is met; meanwhile, the positioning precision of the algorithm is effectively improved. In computer simulation, compared with other time difference positioning methods, the method provided by the invention shows better positioning precision and better anti-multipath capability.

The invention relates to a preparation process optimization method of a zirconium alloy material with high fretting wear resistance, which comprises the following steps: setting a chemical component optimization range of a zirconium alloy, including specific proportions of tin, iron, niobium, chromium and oxygen elements; establishing a computer simulation model, and predicting the wear volume, tribological stability and microstructure evolution of the material under the fretting wear condition; then, a complete optimization scheme is output based on the model optimization homogenization treatment temperature interval, the hot working deformation range, the cold working cumulative deformation degree and the annealing system; and finally, a preparation process sequence including smelting, homogenization treatment, hot working deformation, cold working deformation and final heat treatment is implemented, the zirconium alloy material with the equiaxed grain structure is prepared, and the wear resistance of the zirconium alloy material is verified through an experimental fretting wear performance test. Compared with the prior art, the method has the advantages that through systematic component design and process parameter simulation optimization, the material performance is remarkably improved, and the application reliability is enhanced.

The invention discloses a method for predicting the residual life of an existing asphalt pavement structure, particularly relates to the technical field of computer simulation and data processing, and is used for solving the problem that the existing prediction method cannot efficiently represent the non-uniformity of an existing pavement material and the dynamic environment load influence on the premise of ensuring the precision. Existing damage data of a road surface are acquired to construct a simulation model reflecting a real initial state, material fatigue parameters are acquired in combination with cross-scale analysis, a dynamic environment boundary is driven by utilizing climate time sequence data, and then time-frequency coherence analysis is performed on a damage mode and a climate load to identify a high-threat working condition, so that the high-threat working condition is identified. And finally, preferentially operating high-fidelity thermal-mechanical coupling numerical simulation aiming at a high-threat working condition, and mapping damage evolution data output by simulation to a macroscopic performance degradation process so as to determine the residual fatigue life.

The invention discloses a flow resistance and heat transfer simulation analysis method for a thermal management refrigerant side integrated module, and relates to the technical field of computer simulation. The method mainly comprises the following steps of: dividing a computational domain model into a solid domain, a fluid domain comprising a plurality of single-phase flow channel sub-domains and a flow channel section which is in a gas-liquid two-phase state and exchanges latent heat along with phase change in combination with the need of an actual analysis working condition; performing polynomial fitting on various parameters by fixing the inlet pressure value of each single-phase flow channel sub-domain; loading the fitted physical property function to the corresponding runner sub-domain, and setting a constant material attribute for the solid domain runner plate; a conjugate heat transfer model is started on an interface of a fluid domain and a solid domain, and interface heat flux density conservation and temperature continuity simulation is carried out; setting boundary conditions; and executing conjugate heat transfer simulation calculation until convergence calculation is completed. According to the method, the simulation precision is improved through fusion of three core technologies of dynamic change physical property fitting, solid-liquid conjugate heat transfer coupling and two-phase flow latent heat equivalent modeling.

The invention relates to the technical field of digital twinning and computer simulation, in particular to a power transmission and transformation project optical cable connection information operation and maintenance system based on a logic model, which comprises a model fusion module for constructing a digital twinning anchor point set by fusing a three-dimensional physical model and a secondary system logic model of a power transmission and transformation project; when the simulation analysis module receives a logic loop alarm, the physical path is reversely traced based on anchor point data, physical field simulation operation is executed, and a physical degradation risk point is output; the augmented reality module realizes spatial registration of a three-dimensional physical model and a live scene through a spatial computing technology, and visually presents logic loop and risk point information. According to the method, the space-time twin anchor points are constructed, the physical field simulation operation is driven, and the diagnosis result and the operation and maintenance instruction are superposed on the live scene through the augmented reality technology, so that the intelligent operation and maintenance closed loop of the optical cable connection information of the power transmission and transformation project is realized, and the troubleshooting efficiency and accuracy are improved.

The invention discloses a simulation test method and system, electronic equipment and a computer program product. According to the scheme, a to-be-verified model is established according to obtained system demand information; according to the system demand information and the to-be-verified model, generating a simulation test instruction, sending the simulation test instruction to the modular integration platform, enabling the modular integration platform to drive different connected simulation test devices to perform simulation test according to the simulation test instruction, and feeding back simulation test data; evaluating and analyzing the simulation test data according to the system demand information, and determining an evaluation result; a verification model is established according to system demand information, then a simulation test instruction is generated, different simulation test devices connected with the modular integration platform are driven through the modular integration platform, and simulation testing on the system level is carried out; scheduling and cooperative work of different simulation test devices are achieved, the cooperative work degree of the different devices is improved, and the simulation test efficiency is improved; the embodiment of the invention can be widely applied to the technical field of computer simulation testing.

The invention relates to a DEM-CFD-VOF coupling model-based method for analyzing movement of a desulfurizing agent in a ladle, which belongs to the technical field of computer simulation and comprises the following steps of: 1, drawing a ladle model and a stirring paddle model by utilizing modeling software, and exporting a corresponding STL file; 2, importing the STL file into software with a DEM model, and establishing a motion control equation of desulfurizer particles; and step 3, importing the STL file into software with a CFD model, performing mesh generation on the ladle model containing the stirring paddle by using a mesh generation tool, establishing a control equation of a liquid phase (molten iron) and a gas phase (air), and tracking free interfaces of the gas phase and the liquid phase and the like by adopting a VOF model in the software with the CFD model. According to the method, the DEM-CFD-VOF coupling model is established to describe movement and dispersion behaviors of desulfurizer particles in the ladle, so that evaluation on the desulfurization effect of the ladle is realized.

The invention relates to the technical field of computer simulation, and provides an ecological restoration measure carbon sink effect quantitative simulation prediction method and system based on digital modeling. The method comprises the following steps: collecting ecological element information of a target drainage basin, extracting a multi-dimensional spatial distribution feature set, and establishing an ecological environment response simulation model under engineering disturbance in combination with digital baseline data; constructing a carbon sink effect quantitative model based on construction operation situation information, and embedding the carbon sink effect quantitative model into associated nodes of the ecological environment response simulation model to realize coupling; the dynamic influence of engineering construction operation on the drainage basin carbon sink capacity is simulated based on the coupling model, the multi-target optimization decision matrix is generated, the pre-optimization decision suggestion is output, collaborative simulation of ecological environment response and carbon sink effect quantification is achieved, and the accuracy of hydropower engineering carbon sink influence prospective evaluation and the scientificity of decision suggestion are improved.

The invention relates to the technical field of computational simulation, in particular to a modeling method for constructing any chemical short-range ordered multi-principal element alloy structure, which comprises the following steps: setting target values and convergence conditions of chemical short-range ordered parameters; calculating parameter values of chemical short-range order parameters of the initial configuration; calculating an initial difference value; judging whether the initial difference value meets a convergence condition or not; if yes, outputting an atomic configuration; if not, carrying out iterative operation; the iterative operation process comprises the following steps of: randomly exchanging two atomic positions to obtain a new configuration; calculating a difference value between a parameter value number of the chemical short-range order parameter of the new configuration and a target value to obtain an exchanged difference value; judging whether the difference value after exchange is smaller than the difference value before exchange or not; if yes, current exchange is accepted; and after the convergence condition is met, outputting the atomic configuration. According to the method, the function of directly generating a specific structure from structural features is achieved, and atom configuration of any chemical short-range ordered feature can be customized in a wide component space.

A system and method for automatically generating immersive training scenarios for workers in an industrial environment for hazardous events in a computer simulated environment is provided. The method includes acquiring, by processing unit, information pertaining to operation of assets and related anomalies and hazards in industrial environment for which training scenarios are to be simulated, loading simulation sequence of industrial environment including assets operating at ideal behavior, wherein simulation sequence executes a first set of tasks on virtual assets within ideal behavior, defining one or morse sequence of events that lead to hazardous event in industrial environment based on acquired information, determining second set of tasks to be executed in loaded simulation sequence, simulating second set of tasks in loaded simulation sequence, and generating immersive training scenario in computer simulated environment based on execution of the first set of tasks and the second set of tasks in loaded simulation sequence.

The invention discloses a high-precision adaptive numerical simulation method and system for solving a nonlinear integral-differential equation, and relates to the technical field of computer simulation and numerical calculation. Comprising the steps of setting simulation conditions; constructing a grid space based on the computational domain; constructing a global cubic spline interpolation function based on the solutions on the grid points; if the updated grid point location exists, calculating a right-end integral item by using an adaptive numerical simulation integral algorithm; calculating a heuristic solution and an error estimation value; dynamically adjusting the tentative step length and updating the time according to the estimated value and the ODE tolerance; checking gradient and curvature distribution of solutions, encrypting grids for areas with violent solution changes, and sparse grids for areas with smooth solution changes; using a global cubic spline interpolation function to demap the old grid space to the adjusted new grid space; and iteratively executing the steps, and outputting an integral solution in the computational domain. And finally, collaborative improvement of integral simulation calculation in precision, efficiency and stability is realized.

The invention discloses a CAE (Computer Aided Engineering) workflow control subsystem and method based on cloud computing, and belongs to the technical field of crossing of computer simulation and cloud computing, and the subsystem comprises a workflow configuration analysis module which is used for converting a CAE workflow configuration file possibly containing cyclic dependence into a directed acyclic graph state machine through strong connectivity component analysis; the workflow state machine operation module is used for dynamically deriving task groups which can be executed in parallel in the next stage in the state machine according to the current state; and the workflow scheduling module is used for submitting the tasks to a cloud solving platform in parallel and realizing fault recovery through state persistence. Through deep fusion of a graph theory method and a cloud computing architecture, automatic scheduling, efficient parallel execution and reliable fault tolerance of the CAE workflow are realized, and the computing resource utilization rate and the system reliability are remarkably improved.

Presented is a system (100) and a method (200) for optimizing computer simulated environment(s) used for testing of an autonomous system (404). The method (200) comprises generating a virtual representation of each failed test case in a computer simulated environment (102) based on the received one or more failed test results of the failed test cases and simulating the execution of the failed test case within the virtual representation of the autonomous system. The method (200) analyzes the simulated execution to identify deviation data from an expected behavior of the autonomous system and generates a feedback-based learning algorithm to train the computer simulated environment (102) based on the deviation data and expert inputs received from a second source. Furthermore, the method (200) comprises deploying, upon training, the feedback- based learning algorithm onto a test execution platform for testing of a system- under-test, wherein the system-under-test is associated with the autonomous system.

The invention discloses a multi-fidelity co-simulation management method and system for a pneumatic transportation pipe network system, and belongs to the technical field of computer simulation. The method comprises the steps of topology analysis and feature extraction, and analysis of a topology structure; simulation dynamic allocation: dynamically allocating a simulation model for each pipe section based on a preset strategy rule base; the simulation tasks are packaged and dispatched, and the continuous pipe sections distributed with the same simulation models are distributed; performing data coupling and consistency verification, and taking a calculation result of the upstream pipe section as an input boundary condition of calculation of the downstream pipe section; global results are synthesized, and results of all parallel computing tasks are automatically collected. According to the method, a one-dimensional theoretical model or a differentiated three-dimensional CFD model is accurately matched for different flow regime areas (a straight pipe flow field development area, a bent pipe separation area and the like) based on pipe section topological characteristics through dynamic model adaptation, the efficiency of a non-key section is guaranteed through the one-dimensional model, the flow regime of a key section is restored through a high-precision turbulence model, and cooperation of precision and efficiency is achieved.

The invention relates to the technical field of computer simulation, and provides a numerical simulation method and system for the working process of an ADN-based space engine, and the method comprises the steps: collecting historical physical and chemical attribute data of an ADN-based propellant under different combustion conditions, constructing a combustion process simulation model containing a chemical reaction kinetic action relationship and a fluid mechanics action relationship; inputting initial state data of a propellant into the model, simulating an energy release process in a combustion chamber after ignition triggering, and obtaining a simulation analysis result containing a flow state and a temperature gradient influence factor; generating an energy release state spectrum of the propellant in the ignition stage according to the simulation analysis result so as to represent energy release intensity distribution at different moments; and excavating a spatio-temporal evolution rule of propellant energy release based on the energy release state map, and outputting an energy release characteristic analysis report to guide engine combustion efficiency optimization.

The invention discloses an airport fire fighting truck simulator, which has the technical structure that the simulator comprises a cockpit body, an instructor control system, a computer simulation system, a visual system and a sound system, adopts a modular design, and integrates 1: 1 real truck original components; real-time synchronization and real-time data interaction of signals of multiple subsystems are achieved through the CAN bus controller and the master controller. Control signals of the driving control system and the fire-fighting equipment operating platform are accessed to the visual host through data lines to drive the vehicle dynamics model, the airport environment simulation and the aircraft fire and fire extinguishing interaction system in real time to generate dynamic three-dimensional visual and sound effect feedback; the teacher console can monitor operation of students in real time, dynamically adjust training scenes and synchronously display the fire extinguishing effect through the visual host, double-person cooperative training, multi-mode switching and complex scene simulation are supported, and the system has excellent application and popularization prospects in special fire extinguishing scenes of airports.

The invention relates to the technical field of computer simulation, in particular to a loss stress simulation analysis method for an electronic packaging curing agent. The method comprises the following steps: acquiring physical and chemical parameters and mechanical property data corresponding to the electronic packaging curing agent to generate a packaging curing agent basic performance data set; generating curing agent microstructure evolution data based on the packaging curing agent basic performance data set, and performing stressor identification and packaging stress field distribution mapping to obtain packaging structure stress field initial distribution data; performing stress evolution simulation under a temperature cyclic load according to the initial distribution data of the stress field of the packaging structure, and calculating a loss factor and a stress relaxation coefficient corresponding to an electronic packaging curing agent to obtain a curing agent loss stress characteristic parameter; and acquiring a humidity aging factor, performing influence dynamic evaluation, and generating a curing agent loss stress life evaluation report. According to the invention, the precise simulation process of curing agent loss and stress distribution in the electronic packaging process can be realized.

The invention discloses a reverse molecular design method and system of an organic framework material COFs based on a machine learning and quantitative calculation technology, and relates to the technical field of material science and computer simulation. The photoelectric property of the COFs material can be accurately predicted, and a new material can be directionally synthesized under guidance. A COFs structure database is established, Gaussian is used for representing the fragment structure and electronic characteristics of the COFs, a molecular descriptor and a machine learning algorithm are used for establishing a structure-performance mapping relation, quantitative calculation software is used for obtaining an important target quantity for describing the photoelectric characteristics of the COFs, SHAP is used for carrying out importance analysis, and finally a machine learning model for predicting the photoelectric properties of the COFs is obtained. According to the model, through theoretical prediction of a novel COFs structure, a mapping relation between the COFs structure and photoelectric specificity can be established, and a novel COFs hypothetical structure can be reset according to important molecular fragments or word structures of the important molecular fragments; theoretical guidance can be provided for application in the fields of photoelectric catalysts and the like.

The invention relates to a layup library optimization method considering a layup process, and relates to the field of computer simulation technology, and the method mainly comprises the following steps: S1, defining optimization objectives, design variables and design constraints through an interactive interface, the optimization objectives comprise a layup library objective and a single layup objective, and the design variables comprise design variables and design constraints; the design variables comprise the number of paving layers of paving layers, paving ranges of different paving layers, paving angles of different paving layers and paving sequences of paving layers with different angles, and the design constraints comprise paving layer constraints and structural constraints; s2, solving the set optimization target, the design variable and the laying layer constraint through a multi-parameter optimization solver based on a bottom layer optimization method; and S3, outputting an optimization result.

The invention relates to the crossing field of a medical rehabilitation training technology and a computer simulation technology, in particular to a postpartum rehabilitation simulation training demonstration device and a use method thereof. The training assembly comprises a dredging massage piece, a uterus simulation piece and a moxibustion piece which are arranged in the model body; the driving assembly comprises a transmission piece and a pressing piece; the transmission piece comprises an external connection block arranged in the model body and a transmission groove formed in the upper end face of the external connection block. The pressing piece comprises a lower pressing shaft arranged on the inner wall of the model body and a rotating shaft arranged on the inner side of the lower pressing shaft; massage rehabilitation of the abdomen, the mammary gland and the uterus can be achieved through a plurality of components in the training assembly, the training requirements of personnel are met, meanwhile, downward pressure is converted into power of the triggering assembly through the pressing piece, and whether the force is appropriate or not is judged through responses of the response pieces at different positions; and the accuracy of the pressing position and force during personnel training is improved.

The invention relates to the crossing field of computer simulation and aerospace propulsion technology, and discloses a numerical simulation method for solid propellant grain cutting treatment, which comprises the following steps: establishing a three-dimensional model of a grain and a cutting tool, and defining a heat-force-damage coupling constitutive relation and boundary conditions; performing multi-physical field monitoring based on the weighted combination of the equivalent plastic strain, the temperature and the damage gradient at each time step; dynamically executing self-adaptive encryption and coarsening of the grid; in combination with dynamic load balancing in parallel computing, the resource utilization rate is increased; and material separation is simulated through a damage fracture criterion, and finally high-precision cutting force, a temperature field, a stress-strain field and a cutting morphology are output. According to the method, the simulation precision and efficiency are improved, and reliable support is provided for process optimization and safety evaluation.

A neural radiance field (NeRF) for rendering an image in response to a text description receiving a text description is generated by using first and second polygonal meshes to establish spatial constraints. Points of the NeRF are scored using the spatial constraints to modify the NeRF, which may then be used, typically after conversion to a mesh, in rendering a computer simulation character or object.

Various disclosed embodiments are directed to simulating a campaign journey, including simulating user responses at multiple touchpoints of the campaign journey. In other words, particular embodiments simulate how individuals from defined segments respond to and engage with various touchpoints of a campaign journey, which provides insights into their response behaviors and potential outcomes at each touchpoint. Based at least in part on a synthetic user profile, some embodiments simulate the campaign journey, such as simulating whether users respond to multiple touchpoints, where the prediction of a particular response at one touchpoint affects or influences the prediction of another subsequent response of a corresponding touchpoint in the campaign journey.

This invention discloses a method and system for optimizing the design of offshore wind turbine support structures based on a surrogate model. The method establishes the relationship between the design parameters of the support structures for offshore wind turbines of different capacities and the structural performance response of the optimized design based on the Kriging surrogate model. Simultaneously, it optimizes the tower and monopile foundations to find the lightest overall support structure design. This method avoids getting trapped in local optima during the optimization design of offshore wind turbine support structures, which would otherwise only result in finding the lightest tower or monopile design. Using the method and process of this invention, after load calculation, the tower and foundation structures are simultaneously checked and optimized, leading to a globally optimal design. This results in a stronger overall structure, more uniform stiffness distribution, and more rational stress distribution, ultimately achieving the lightest overall support structure weight. Optimization based on the surrogate model reduces the number of computer simulations required for structural analysis, improving optimization efficiency.