34 results about "Joint simulation" patented technology

The application discloses a kind of based on joint simulation underwater acoustic channel modeling and signal evaluation method, it is related to channel modeling technical field, including: in the first physical state generation first working condition received energy, and in the second physical state generation second working condition received energy;According to first working condition received energy and second working condition received energy determine heuristic information parameter;Determine the starting node and the terminal node of the graph structure data in submarine pipeline, in each iteration of the plurality of ants from the starting node to the terminal node in graph structure data, according to heuristic information parameter updates the travel path of each ant, to obtain the breathing dominant transmission path set;The application is favorable to provide more reliable technical basis for the design and operation of underwater acoustic communication in submarine pipeline corridor.

The present application relates to a kind of event-oriented power grid-life line-user disaster influence whole chain joint simulation method, to solve the problem that existing technology cannot cover composite extreme event, coupling modeling is not accurate, lack of unified whole chain simulation framework.The method generates extreme event scene such as natural disaster, network attack, constructs multi-granularity life line model, carries out joint simulation in two stages (two-way coupling system iterative simulation, one-way influence system section simulation), to combine time-event double-driven interaction, synchronously model 8 kinds of important users.Can accurately simulate whole chain failure process, output power grid fault evolution, life line function loss and user service availability, provide support for city life line resilience assessment and emergency decision-making.

The application discloses a kind of based on MBSE joint simulation technology's cabin ventilation system design method, first obtain the heat and air consumption parameter of ship cabin equipment, synchronization to the SysML system model based on MBSE construction;System function and performance requirement are analyzed by requirement modeling, and parameter modeling obtains the ventilation and cabin target environment parameter requirement;Design system physical architecture, complete function decomposition and sub-equipment distribution, and the architecture feasibility is verified by function simulation;Performance simulation model is constructed, and the optimal scheme is selected by simulating actual working condition, and the performance feasibility is verified by long-time simulation;Finally complete system three-dimensional digital design and space arrangement, and complete design after verifying space feasibility.The application realizes cabin ventilation system whole-process model-driven design, significantly improves design efficiency and reliability, reduces design rework risk.

This invention discloses a method and apparatus for joint virtual-real simulation training of an unmanned intelligent system. The method includes: firstly, acquiring a set of physical entity equipment configuration data, training task configuration data, and training parameter configuration data; then, performing modeling and scene generation processing on the set of physical entity equipment configuration data, the training task configuration data, and the training parameter configuration data to obtain a set of digital equipment model data and virtual training scene data; next, performing joint virtual-real training processing on the set of digital equipment model data and the virtual training scene data to obtain a set of training process data; and finally, evaluating and performing closed-loop optimization processing on the set of training process data to obtain a target training evaluation report and optimized training parameter configuration data.

This application relates to a method, system, device, storage medium, and program product for monitoring the wear state of artificial joints. It acquires a first voltage signal output by a recognizer when the spherical structure and plate structure in a first joint simulation structure move relative to each other. This first voltage signal is then input into a wear state monitoring model to identify the working state of the first joint simulation structure, thus obtaining its current working state. This method ensures the accuracy and reliability of the artificial joint wear state identification results. Furthermore, by directly capturing the voltage signal generated by the relative movement of the spherical and plate structures, it achieves real-time monitoring of the joint's working state, effectively solving the problem of inefficient and accurate perception of the wear state of artificial joint structures. This provides scientific and reliable technical support for timely maintenance, fault warning, and service life assessment of joint structures.

The application provides a railway project state joint simulation and control signal generation method, device and system, for each time step under each exogenous factor simulation path, obtaining multi-source data under the current time step; according to the preset DAG topology sequence, scheduling multiple sub-models to perform cascade calculation, outputting adjustment amount of each dimension; then calculating the comprehensive constraint scalar and the constraint load ratio; performing interval range comparison on the comprehensive constraint scalar to generate control signal coding; and performing the forward-backward algorithm of the hidden Markov state space model to infer the hidden state coding of the current time step; after all the time steps of all the simulation paths are traversed, starting the random dynamic programming optimal stop model to solve backward recursively to determine the optimal path distribution; outputting structured data containing the control signal coding and the optimal path distribution; the application can improve the numerical stability of the state joint simulation and the accuracy of the output control signal.

The application discloses a kind of numerical simulation method and system based on fracture mechanics of water turbine blade failure process, comprising: introducing initial crack defect in blade three-dimensional geometric model;Based on the blade three-dimensional geometric model, the joint simulation of hydrodynamics and structural mechanics is carried out to the blade, and the stress and strain distribution of crack tip region is obtained;From the stress and strain distribution of crack tip region, the key parameters of crack tip are extracted;Using the key parameters of crack tip, according to crack propagation criterion, the crack propagation rate and propagation path are determined;In the process of crack propagation, the grid is dynamically encrypted and reconstructed, the crack front position is updated, until the crack reaches critical condition, and the failure life prediction result of blade is output, the method and system can not only predict crack propagation rate and path, but also determine the critical life of blade, realize the whole process simulation of crack from initiation, expansion to final fracture.

The application discloses a resonant structure design method based on transfer learning, comprising the following steps: generating uniformly distributed parameter samples in a design space; performing MATLAB and COMSOL joint simulation, inputting the structure parameters into a simulation platform for finite element analysis, obtaining transient response and calculating impact response spectrum, and establishing a mapping relationship between parameters and characteristics; performing deep learning model training; importing experimental data; performing transfer learning, combining a pre-trained model and experimental data to fine-tune a neural network model; verifying the prediction accuracy and generalization ability of the neural network model after transfer learning through a test set; and predicting structure parameters, using the trained neural network model to predict resonant structure parameters required by design requirements. The application is suitable for impact response spectrum requirements of a pyrotechnic impact, and realizes response spectrum prediction and structure parameter backstepping optimization under the condition of a small experimental sample, so that the precision and efficiency of resonant structure tuning design under an impact environment are improved.

The present application relates to the technical field of marine equipment modeling simulation, and provides an anchor chain parameterized modeling method and system based on multi-body-fluid joint simulation, which comprises: equivalent actual anchor chain to a plurality of anchor chain balls; by means of constant speed towing hydrodynamic simulation, the viscous resistance of the actual anchor chain section is calculated; the same equivalent anchor chain section is simulated under the same towing working condition, and the viscous resistance of the equivalent anchor chain section is calculated; the anchor chain ball radius is corrected through consistency verification; the density of the anchor chain ball is calculated based on the number and radius of the anchor chain ball; the anchoring water depth, mooring radius and seabed lying anchor chain section length of the actual anchor chain are obtained, and the initial position of each anchor chain ball is determined in combination with the anchor chain ball spacing; the model of the seabed and its irregular structures is created, and multi-body-fluid dynamics joint simulation under the action of gravity is carried out in combination with the radius, density and initial position of each anchor chain ball. The problems of low parameterization degree and poor adaptability of the mooring anchor chain lumped mass modeling method are solved.

The application relates to a complex rock mass collapse disaster range prediction method and system. The method comprises the following steps: obtaining multi-dimensional monitoring data of a target rock mass to extract rock mass attribute features; performing geological modeling based on the rock mass attribute features to obtain a rock mass geological model; determining a collapse starting condition according to the rock mass geological model by using a machine learning model; combining the rock mass geological model and the collapse starting condition, simulating a rock mass collapse motion trajectory by using a kinematics-dynamics joint simulation method; and evaluating a collapse influence range based on the motion trajectory and generating a disaster range evaluation report. By using the method, the accuracy and reliability of complex rock mass collapse disaster range prediction can be significantly improved through multi-dimensional data fusion, machine learning accurate identification of starting conditions and dynamic simulation simulation.

The application discloses a chemical reaction system multi-physical field semi-physical simulation device and method, and belongs to the field of chemical testing and simulation. The device contains a parameterized model construction, a real-time simulation environment, a semi-physical simulation algorithm and a parameter correction calculation module, can construct a reactor multi-parameterized mathematical model, realizes one-dimensional / three-dimensional model on-demand calling and correction, accesses actual hardware such as DCS / PLC to complete virtual-real real-time closed-loop testing; the method is to construct a parameterized model containing an Arrhenius law kinetic equation, after one-dimensional / three-dimensional joint simulation prediction, the model parameters are corrected by using the measured data of hardware-in-the-loop testing. The application integrates multiple simulation technologies, solves the problems of high risk and high cost of chemical experiment, low precision of pure virtual simulation and inability of real-time optimization, can safely simulate extreme working conditions, the prediction accuracy of main product yield is more than 96%, the hot spot temperature error is less than or equal to 3 DEG C, improves the verification precision of reactor design and control strategy, and reduces the research and development risk.

This application provides a cross-scale co-simulation method and related apparatus for nuclear power plant air-cooled circuits, relating to the field of nuclear energy engineering technology. The method includes: based on the region overlap method, dividing the air-cooled circuit into a one-dimensional simulation region and a three-dimensional simulation region, with the junction of the circulating cooling water and the air-cooled tower as the boundary; modeling these two simulation regions separately to obtain a one-dimensional system model and a three-dimensional model; establishing a bidirectional data transfer link between the two models; performing co-simulation iterations through this link until convergence to obtain the simulation results of the air-cooled circuit under set operating conditions; in each iteration, transferring the boundary parameters generated by the one-dimensional system model to the three-dimensional model, and returning the correction parameters generated by the three-dimensional model to the one-dimensional system model to correct the parameters of the components used to characterize the air-cooled tower in the one-dimensional system model, thereby effectively improving the problem of balancing "efficiency" and "accuracy" in the design and analysis of nuclear power plant air-cooled circuits.

This invention discloses a method, system, and storage medium for optimizing clover-shaped nuclear fuel elements, comprising: acquiring parameterized geometric design variables of the fuel element and generating a corresponding three-dimensional geometric model; establishing a thermofluid-solid multiphysics coupling model on the three-dimensional geometric model, wherein the multiphysics coupling model includes at least turbulent flow, conjugate heat transfer, and structural response caused by thermal expansion; and completing solver settings, mesh generation, and simulation calculations to obtain temperature and pressure fields; extracting convective heat transfer characterization indices, coolant pressure drop, power density indices, and temperature gradients based on simulation results, and constructing a multi-objective optimization problem in conjunction with structural safety constraints; using a multi-objective evolutionary optimization algorithm to drive the multiphysics coupling model to perform joint simulation iterations, obtaining the Pareto optimal solution set, and determining and outputting the optimal parameter combination from it.

The application relates to a cable joint simulation model determination method, device and computer equipment. The method comprises the following steps: obtaining structural feature data and structural resistance data of a cable joint, and based on the structural feature data; performing simulation processing on a cable joint simulation model to obtain temperature field distribution information of the cable joint and determine a first temperature distribution curve; based on the structural resistance data of the cable joint, an equivalent resistance model is established, and simulation processing is performed on the equivalent resistance model to obtain a second temperature distribution curve; in the case that the distribution difference between the first temperature distribution curve and the second temperature distribution curve is greater than a difference threshold value, the structural resistance data in the equivalent resistance model is adjusted, and the above step is returned until the distribution difference is less than the difference threshold value; when the distribution difference is less than the difference threshold value, the equivalent resistance model less than the difference threshold value is taken as a target cable joint simulation model. The method can improve the simulation efficiency of the cable joint simulation model.

The present application relates to the field of complex equipment development in the aviation industry, in particular to a SysML heterogeneous model integration method, aiming to solve the problems of data island and collaboration barriers caused by model heterogeneity. Based on a unified data management platform, the method realizes the normalization of multi-source SysML models, the unified integration and scheduling of heterogeneous models, the high-precision joint simulation of virtual and real systems, and the multi-dimensional intelligent analysis of simulation results through five core steps of intercommunication and synchronization, including SysML model analysis, functional unit conversion, multi-source heterogeneous model integration, virtual-real fusion test simulation, and comprehensive analysis and iterative optimization. The platform is equipped with four special function modules, which are compatible with multiple modeling tools and form a closed-loop design system through technologies such as full-factor mapping, middleware integration, gradient descent method parameter calibration, and three-dimensional visualization analysis. The method has been verified effective in the development of aircraft engines and airborne equipment, significantly improving model reuse rate and cross-disciplinary collaboration efficiency, shortening design optimization cycle, and providing replicable technical support for the implementation of MBSE in the aviation industry.

The present application belongs to the technical field of lithium battery safety, and specifically relates to a kind of transport protection equipment inner lithium battery thermal runaway energy field combined simulation method.The simulation method accurately simulates the thermal runaway behavior of lithium ion battery under transport conditions, providing important scientific basis and data support for battery transport safety evaluation and protection equipment optimization design, which can effectively identify potential risks and guide the development of safety management measures.Based on the energy field distribution data obtained by simulation, the design of key components in the protection equipment can be optimized, such as improving the exhaust capacity of the pressure relief valve and the sensitivity of the gas sensor, to ensure timely response in the event of thermal runaway.In addition, the method can also provide key parameter support for the structural design of transport protection equipment and the development of thermal runaway early warning system.

The present application belongs to the field of artificial intelligence and mine intelligent technology, and specifically relates to a coal mine intelligent decision-making and resource optimization method and system based on digital twinning, which comprises constructing a four-dimensional digital twin, embedding a multi-scale coupling model library, introducing a decision sandbox mechanism and an execution feedback driven model self-correction architecture, realizing multi-target joint simulation, safety verification and secondary influence deduction of scheduling instructions in virtual space, and dynamically correcting model parameters according to physical execution results; by embedding a decision sandbox in the four-dimensional digital twin, the scheduling instructions can be subjected to multi-physical field joint simulation and safety feasibility verification in the virtual environment before physical execution, avoiding production interruption or safety accidents caused by unfeasible instructions, and by establishing an execution feedback driven model self-correction mechanism, the prediction ability of the four-dimensional digital twin can be continuously optimized with the evolution of the physical environment.

The application discloses a dynamic simulation control optimization method and system of a flexible bearing, relates to the technical field of control optimization, and comprises the following steps: obtaining a constitutive relation data set; driving an integrated twin model to perform multi-physical field joint simulation under a pre-defined working condition sequence, and obtaining a deformation field prediction spectrum; obtaining a historical sensing sequence by backtracking; performing control compensation optimization solving on the deformation field prediction spectrum and the historical sensing sequence, and obtaining a compensation tensor flow; slidingly segmenting a time sequence action instruction flow, the compensation tensor flow and the historical sensing sequence, generating a rolling sample set, and constructing a dynamic compensation model; performing deformation deviation compensation solving on the real-time action instruction and real-time sensing flow to the dynamic compensation model, and outputting a real-time compensation control instruction for real-time compensation. The application solves the technical problems in the prior art that the flexible bearing is difficult to obtain accurate dynamic deformation prediction and cannot realize timely compensation control based on real working conditions, and achieves the technical effect of improving the operation precision and stability of the flexible bearing.

The application provides a simulation method, device and medium for a catalytic cracking whole device, and the method comprises the following steps: performing computational fluid dynamics simulation on a reaction-regeneration system by adopting a virtual full cycle method to obtain a first catalytic cracking reaction-regeneration model; performing order reduction on the first catalytic cracking reaction-regeneration model according to the simulation result of the reaction-regeneration system to obtain a second catalytic cracking reaction-regeneration model; and coupling the second catalytic cracking reaction-regeneration model with a fractionation and absorption-stabilization system to perform joint simulation, and performing process simulation on the catalytic cracking whole device. The computational fluid dynamics simulation of the reaction-regeneration system and the process simulation of the fractionation and absorption-stabilization system are effectively coupled to realize real-time and accurate simulation of the catalytic cracking whole device.

The application relates to the technical field of vehicle battery packs, and discloses a vehicle battery pack and a coupling modeling and joint simulation method of a thermal management module of the vehicle battery pack. A battery pack three-dimensional model is converted into a battery pack quasi-three-dimensional model through discretization processing, the quasi-three-dimensional model is applied to one-dimensional simulation calculation of the battery pack, the rationality of a heat preservation layer design of the battery pack is judged, and design optimization is realized; one-dimensional modeling of a battery thermal management integrated system is realized by adding a unified model of a coupling peripheral thermal management system of the battery pack with a qualified heat preservation layer; one-dimensional modeling of a thermal management system at a vehicle level is realized by combining the integrated system with related systems of the vehicle, and simulation calculation of the battery thermal management integrated system under different working conditions is completed. The application mainly solves the problems that one-dimensional modeling and calculation of battery thermal management are difficult to describe the battery temperature field distribution in detail, battery thermal management simulation calculation usually ignores the influence of other thermal management systems, and battery thermal management technology is applied under multiple working conditions.

This invention proposes a structural optimization method for high-current connectors based on electro-thermal-mechanical multi-physics coupling, belonging to the field of electrical connector design and optimization. The specific implementation steps of this method are as follows: A parametric CAD / CAE model of a 600A high-current connector is established. Geometric meshing, differential mesh generation, contact pair definition, boundary condition setting, and solution settings are completed using ANSYS APDL. Insertion and extraction dynamics analysis and electro-thermal coupling analysis under the insertion state are conducted separately, and key performance data are extracted. The above simulation processes are integrated to form two sets of automated simulation programs for the insertion and extraction process and the electro-thermal coupling process under the insertion state, used for structural design sample simulation. The optimization objectives and design variables are determined. The design variables are the terminal position, terminal protrusion height, and terminal length of the internal contacts of the 600A high-current connector. 25 sets of samples are generated using an orthogonal experimental method. Insertion and extraction force and contact area data during the insertion and extraction process, as well as contact temperature data during the electro-thermal coupling process, are obtained through automated simulation as optimization objectives. A multi-objective prediction function is constructed through multiple regression, and a genetic algorithm is used to achieve global optimization of the multi-objective parameters to obtain the optimal combination of geometric parameters. This invention effectively solves the problems of data loss and operational redundancy in traditional joint simulation of different software, significantly reduces the convergence difficulty and computation time of multi-physics coupling calculation, improves the efficiency of model optimization design, and provides a high-fidelity, fully automated analysis system and design scheme for the development of high-performance electrical connectors.

The application belongs to the technical field of simulation, and discloses a kind of semi-physical simulation system;Control input plug-in inputs joint simulation configuration information to server;Model client reads joint simulation configuration information through client communication plug-in, and sends it to modeling tool, runs modeling tool to generate virtual model, model client collects virtual model data in modeling tool, and connects it to server through client plug-in;V2R client reads virtual model data of server through device communication plug-in, and parses its instruction through measurement and control tool to control physical device to run;V2R client collects physical device operation data, and sends it to server through device communication plug-in;Through the way of multi-source heterogeneous distributed integrated simulation architecture and white box model, integrated simulation is carried out, and semi-physical simulation system can be directly run in modeling environment, to improve the fidelity of model.

The application relates to a full-link cross-layer security simulation verification method and system for an industrial control system, wherein the method comprises the following steps: constructing a cross-layer coupling model, generating simulation output of the cross-layer coupling model through dynamic interaction and joint simulation architecture among layers; performing semi-physical verification, real-time interception of communication instructions of the industrial control system and injection of programmable delay, determination of the influence of the delay on control accuracy in combination with preset quantitative mapping relationships in the cross-layer coupling model; data interaction and synchronous transmission among the layers are performed through multi-simulation platform cooperation; based on the simulation output of the cross-layer coupling model, the delay influence data in the semi-physical verification and real-time data of the multi-platform cooperative transmission, the data coupling effects among the layers are compared with preset safety thresholds, dynamic simulation verification of full-link cross-layer security of the industrial control system is performed, and the purpose of quantitative evaluation and active defense capability improvement of the full-link cross-layer security of the industrial control system is achieved.

This invention belongs to the field of thermal-hydraulic simulation technology, specifically involving a joint simulation method based on Modelica for two-fluid six-equation and differential-algebraic equations. It includes the following steps: Step 1: Using the FMU model framework, the two-fluid six-equation system is converted into a function model TpfFun containing input, output, and parameter variables; Step 2: Under Modelica-based compilation rules, the function model TpfFun and the differential-algebraic equation system are compiled as a whole to obtain a sequence plan for the unified solution of the heterogeneous system of two-fluid six-equation and differential-algebraic equations; Step 3: According to the solution sequence plan, each subset of equations in the heterogeneous system of two-fluid six-equation and differential-algebraic equations is solved sequentially. The beneficial effects of this invention are: it solves the problem of coupled solution of two-fluid six-equation and differential-algebraic equations under the unified modeling framework based on Modelica, ensuring the stable solution of the multi-disciplinary coupled model of the entire nuclear power system, and guaranteeing the convergence and efficiency of equation solving.

The application provides a railway project state joint simulation and control signal generation method, device and system, for each time step under each exogenous factor simulation path, obtaining multi-source data under the current time step; according to the preset DAG topology sequence, scheduling multiple sub-models to perform cascade calculation, outputting adjustment amount of each dimension; then calculating the comprehensive constraint scalar and the constraint load ratio; performing interval range comparison on the comprehensive constraint scalar to generate control signal coding; and performing the forward-backward algorithm of the hidden Markov state space model to infer the hidden state coding of the current time step; after all the time steps of all the simulation paths are traversed, starting the random dynamic programming optimal stop model to solve backward recursively to determine the optimal path distribution; outputting structured data containing the control signal coding and the optimal path distribution; the application can improve the numerical stability of the state joint simulation and the accuracy of the output control signal.

The application discloses a shell optimization method, device and equipment for suppressing electromagnetic radiation of a power supply, an integrated circuit-shell model is established, and a MATLAB-CST automatic joint simulation platform is built. On this basis, under the conditions of different opening shapes, opening radii and opening rates, a large number of automatic simulations are carried out on the radiation characteristics of switching power supplies in the 30-1000 MHz frequency band, and the influence law of different opening parameters on the radiation emission of the power supply whole machine is systematically explored. The method can be applied to the shell optimization design of almost all types of power supplies, can effectively reduce the prototype iteration and electromagnetic compatibility rectification times in the research and development cycle, and has important engineering value for improving the electromagnetic compatibility performance of the power supply whole machine.

The application discloses a kind of proxy system and simulation method suitable for multi-system joint real-time simulation, wherein the proxy system includes real-time operation management module, simulation switching control module, proxy data solving module, five-axis turntable data driving module, target and environment generation module, joint simulation data communication module, man-machine interaction and data storage module;The application adopts "multi-system linkage+time sequence strong unity" method to realize multi-mode composite guidance system based on multi-system joint collaborative semi-physical simulation;The application interconnects multiple simulation systems to form a multi-mode multi-body system simulation system, breaks through the technical difficulties of time sequence strong unity of multiple real-time systems, realizes semi-physical simulation verification under the condition of multi-system multi-mode collaboration, and has a good popularization and application space.

The application discloses a kind of robot control algorithm simulation method and system based on shared memory.Method includes: setting control algorithm simulation platform and physical simulation platform;Create shared memory object, and divide control instruction shared area and state feedback shared area in the shared memory object;The control algorithm simulation platform reads the latest valid state data from the state feedback shared area according to control period, runs control algorithm model and generates control instruction, and the control instruction is non-blocked and written in the control instruction shared area;The physical simulation platform reads valid control instruction from the control instruction shared area according to physical simulation step length, drives physical model to run, and non-blocked and writes updated state feedback in the state feedback shared area.The application reduces data interaction delay and jitter, avoids synchronization blocking and step length restriction, improves the real-time performance, stability and operating efficiency of joint simulation.