185 results about "Engineering simulation" patented technology

The invention relates to the technical field of engineering simulation, and provides a self-adaptive grid generation method and device based on strain energy density error estimation, in the method, error estimation is carried out by utilizing first strain energy density of a model to be analyzed, a first estimation error of the model to be analyzed can be evaluated more accurately, and then grid division is optimized. The to-be-refined region is refined layer by layer, so that the problem of sudden change of the grid can be avoided, the stability and reliability of a simulation result are improved, the region with higher precision requirement in the initial grid can be refined, the unimportant region is kept unchanged, the calculation amount is greatly reduced, and the calculation efficiency is improved while the calculation precision is ensured. The method improves the calculation efficiency, improves the simulation efficiency, reduces the consumption of calculation resources, and achieves the efficient generation and optimization of a target grid.

The invention discloses a self-adaptive and flexibly-expanded centralized protocol conversion device and method suitable for heterogeneous peripherals of an aircraft engineering simulator. Compatible communication between the peripherals and the host is achieved through the control self-adaption module and the communication self-adaption module, and the problem that heterogeneous peripherals are not compatible is solved. The control adaptive module comprises a hardware interface module, a bus identification module, an electrical conversion module, a master control MCU and an interface expansion module, and is responsible for electrical signal conversion and identification of a multi-bus protocol. The communication self-adaption module is composed of a configuration management module, a data receiving module, a protocol identification module, a data preprocessing module, a JSON coding and decoding library module, a data coding and decoding module and a data sending module, and data analysis and transmission are achieved. Multi-bus self-adaptive conversion is carried out by adopting a uniform interface, resource waste caused by fixed interface limitation is avoided, and equipment can be used after being inserted. And the data is analyzed through the JSON decoding library separated from the development platform, so that the system compatibility is improved, and the communication requirements of different devices are met.

The invention discloses a new energy automobile body frame lightweight design method based on digital twinning, and relates to the technical field of new energy automobile body structure design and computer-aided engineering simulation, and the method comprises the following steps: S1, building a digital twinning body connected with a physical automobile body sensing system; s2, a dynamic precision topology network module is used for dynamically dividing a simulation precision area of the vehicle body frame according to the mechanical energy transmission path and the real-time sensing data. According to the new energy automobile body frame lightweight design method based on digital twinning, intelligent allocation of computing resources is realized through a dynamic precision topology network, and the computing burden of multi-physics coupling simulation is effectively reduced while precise prediction of a key structure is ensured; the sharp contradiction among the model precision, the real-time response and the optimization efficiency is effectively solved, and effective closed-loop iteration of the lightweight design is achieved under the complex constraint condition.

The invention provides a method, a device and equipment for predicting corrosion current and corrosion of steel bars in concrete in a low-pressure environment, and belongs to the technical field of engineering simulation modeling. The method comprises the following steps: establishing a coupling transmission model in concrete considering oxygen concentration, sulfate ion diffusion behavior and chloride ion diffusion behavior; building a reinforcement corrosion current density and corrosion depth prediction model for predicting the number of charges at different positions of the reinforcement in the concrete, and calculating the corrosion depth and the corrosion product content based on the corrosion current density; and establishing a linear elastic damage model for simulating concrete damage evolution caused by steel bar corrosion according to the corrosion product content output by the steel bar corrosion current density prediction model so as to realize accurate prediction of corrosion and damage. According to the method, oxygen concentration changes under low air pressure are considered, oxygen diffusion is described, output of a transmission model serves as a dynamic variable to be introduced into the corrosion current calculation process, and the accuracy of corrosion current and steel bar corrosion prediction is improved.

The invention relates to the technical field of data mining, in particular to a software operation and maintenance method and system. The method comprises the following steps: acquiring engineering simulation heterogeneous hardware data, and performing multi-physics field coupling tensor compression to obtain a multi-physics field topology snapshot; finite element grid nonlinear constraint is executed based on the multi-physics field topology snapshot, and a nonlinear contact strategy tensor is obtained; according to a non-linear contact strategy tensor coding structure dynamics intelligent contract, simulation software dynamics credibility verification is carried out, and a dynamics credible chain is obtained; constructing a hydrodynamic vortex model based on the dynamic trusted chain, and performing boundary layer separation simulation flow optimization on the hydrodynamic vortex model to obtain a vortex flow field map; performing explicit dynamic explicit integration on the vortex flow field atlas to obtain a convergence optimization field; and performing phase field damage evolution according to the convergence optimization field to obtain a multi-physics field evolution twinborn body, and deploying the multi-physics field evolution twinborn body. The method can effectively improve the utilization rate of software computing resources.

The invention belongs to the technical field of engineering simulation data processing, and particularly discloses a finite element grid graph structure construction method and system, a terminal and a medium. Comprising the following steps: analyzing original full-amount grid data exported by finite element simulation, segmenting unstructured grid data into a grid vertex coordinate set and a grid unit mark number set, and constructing a graph edge topological structure corresponding to a grid based on a unit mark number relationship; on the basis, loading physical field data and adopting a tolerance-based coordinate matching algorithm to realize accurate mapping of physical field labels and material attributes with grid nodes; and generating standardized finite element grid graph data which can be directly used for graph neural network processing. By means of the method, high-consistency and high-physical-reliability conversion from the finite element simulation data to the graph structure data is achieved, and the physical field modeling and simulation acceleration capacity based on graph learning is improved.

The invention discloses a rail transit engineering simulation practical training system based on virtual reality and artificial intelligence, and relates to the field of rail transit engineering, and the system comprises a virtual reality scene module which constructs a whole-process virtual scene of a subway station from planning to completion; the task simulation module is used for designing a station construction task, and the task simulation module further comprises an operation guidance unit and a tool use training unit; the data acquisition and analysis module is used for acquiring student operation data and analyzing the student operation data to obtain an analysis report; and the feedback and evaluation module is used for providing real-time feedback according to the analysis report and generating an operation progress report.

The invention discloses a curved surface porous structure modeling simulation method and system for finite element analysis, and belongs to the technical field of mechanical engineering simulation, and the method mainly comprises the steps: carrying out the initial grid division of a target curved surface part, and obtaining a grid node set covering a curved surface; according to a preset hole center coordinate, three closest grid nodes are automatically searched in the grid node set, a local reference plane is established, and the hole axis direction is determined; generating an offset sketch plane in the normal direction of the reference plane, projecting the hole center to the sketch plane, drawing a circular sketch, and executing a stretching and cutting command to form a hole; and circularly executing the operation to realize automatic generation of multiple holes on the curved surface. And finally, the porous structure is subjected to grid division again, so that subsequent operation is facilitated. According to the method, the modeling process is combined with parameterization analysis and an automatic process, the efficiency and stability of porous modeling of the complex curved surface structure are remarkably improved, and a basis is provided for finite element pretreatment of the complex curved surface structure.

The invention discloses an intelligent fault injection and performance quantification system and method for a helicopter engineering simulator, and belongs to the technical field of flight simulation and testing, and the system comprises a hierarchical combinable fault model library module which is used for the flexible construction from a part level to a system level to a composite fault; the intelligent fault injection management module is used for realizing an intelligent fault injection strategy; the multi-dimensional performance index quantification module is used for collecting data before and after fault injection in real time and setting a performance evaluation index system; the automatic test and visual analysis module is used for comparing various quantitative indexes of different control laws or different parameters of the same control law in the same fault scene to generate a comprehensive evaluation report; according to the intelligent fault injection and performance quantification system and method for the helicopter engineering simulator, efficient, objective and deep testing of robustness, stability and efficiency of an advanced flight control law in a special condition state is realized through a hierarchical fault model, an intelligent injection strategy and automatic quantitative evaluation.

A system for automated penetration testing using artificial intelligence (AI) is described, which aims to enhance cybersecurity by simulating attacks on software and computer systems in order to measure and identify vulnerability. The platform employs AI agents to perform tasks including script execution for vulnerability testing, social engineering simulations, comprehensive security assessments, and more, thereby reducing costs, time, potential risks associated with traditional penetration testing methods, and providing a more complete and available solution than humans can produce alone.

The invention relates to the technical field of engineering simulation, and discloses a GPU heterogeneous resource scheduling method based on mixed execution of multiple simulation jobs, which considers the calculation characteristics of different simulation tasks, also introduces a calculation time prediction model and a video memory usage amount prediction model, and prejudges the resource consumption condition during job execution in advance. And accurate depiction of resource demands in a complex multi-physics field simulation scene is realized. When potential conflicts are found, a Monte Carlo tree search technology is utilized to explore a plurality of scheduling strategies, and a scheduling scheme which achieves optimal balance among calculation delay, throughput and energy consumption is screened out from the scheduling strategies. According to the method, historical data and real-time job requirements of a simulation platform are comprehensively analyzed, accurate prediction and dynamic allocation of GPU heterogeneous resources are achieved, the utilization rate and the overall performance of the GPU heterogeneous resources in a multi-simulation job mixed execution environment are effectively improved, and support can be provided for efficient resource scheduling in a complex simulation scene.

The invention discloses a feature point identification method of a river hydrodynamic condition. The method comprises the following steps: S1, hydrological data collection; s2, dividing flow levels and simulating a flow field of each flow level; s3, arranging alternative control sections; s4, determining a target control section; and S5, constructing a correlation function to determine a target feature point. According to the method, historical hydrological and geographic data of a to-be-monitored river reach are utilized, hydraulic engineering simulation software is combined, a target control section is selected and determined by calculating section similarity indexes, relevancy values of all nodes in the target control section are calculated and selected through a constructed relevancy function, and the flow velocity of the nodes is combined; determining alternative feature points, and finally rejecting points influencing navigation, namely target feature points; the identified feature points are optimal monitoring points for arranging the river flow velocity monitoring device, a scientific basis is provided for reasonably arranging flow velocity monitoring points, only the water flow velocity of a limited number of feature points can be monitored, and the hydrodynamic change condition of the whole river can be mastered.

The invention relates to the technical field of engineering simulation analysis, and provides an ANSYS APDL language-based perforated aluminum plate simulation method, which comprises the following steps of: configuring material attributes and unit types of perforated aluminum plates; defining and parameterizing structure geometric information; a non-perforated edge width and an effective hole arrangement area are constructed from the starting position of the lower left corner of the perforated aluminum plate, and a hole pattern is automatically copied in combination with Boolean operation and circulation logic; grid division is carried out according to grid quality, boundary constraint conditions are set, and a surface load parameter is called to apply a load; and setting a nonlinear solving environment, extracting von Mises equivalent stress and a total displacement value under the action of a load, and performing post-processing to obtain a stress distribution diagram and a deformation calculation result diagram. A set of highly parameterized modeling method is constructed through an APDL of ANSYS, the method has the technical advantages of being clear in operation process and reasonable in configuration logic, and through structural definition and calling of key geometric parameters such as hole graphs, sizes and intervals, the efficiency and accuracy of perforated aluminum plate modeling are improved.

The invention belongs to the field of CAE (Computer Aided Engineering) engineering simulation and the technical field of electrical interconnection system engineering, and particularly relates to a CATIA (Computer Aided Three-dimensional Interactive Application)-based wire harness whole-process motion simulation method, which comprises the following steps of: 1) constructing a motion mechanism simulation model; 2) defining main attributes influencing the movement of the wire harness; 3) establishing a wire harness simulation model; 4) based on the wire harness simulation model, simulating the wire harness on the movement mechanism, updating the wire harness simulation model in real time, and meanwhile, selecting an extreme state section for conformity analysis in each time form of a movement wire harness section; and 5) if the conformity analysis is passed, outputting the picture containing the wire harness simulation model at each moment, regenerating the screenshot under the fixed visual angle into a video through video synthesis software, and if the conformity analysis is not passed, returning to the step 2). The method is suitable for complex movement, and analysis results of the length, the shape, the bending degree, the stretching, the stress concentration point and the like of the wire harness in the movement process can be more visually output.

The invention discloses a transcritical working medium thermophysical property intelligent prediction method suitable for physical property mutation characteristics, and the method comprises the steps: obtaining the physical property-temperature data of a target working medium under a specified working pressure through a standard physical property database, and employing a piecewise linear regression change point detection algorithm based on residual sum of squares and dynamic monitoring; recognition of inflection points of a working medium physical property-temperature curve and self-adaptive division of temperature intervals are achieved, polynomial order optimization is carried out on each segmented interval based on a Bayesian information criterion to balance fitting precision and complexity, continuity constraints at segmented connection points are applied, and a globally continuous segmented polynomial function is constructed. According to the method, the full-process automatic transcritical working medium physical property-temperature function modeling of data acquisition-inflection point identification-order optimization-function generation can be realized, the subjectivity and limitation of artificial experience segmentation are effectively overcome, and the over-fitting risk is avoided while the model precision is ensured; and reliable support is provided for engineering simulation and thermodynamic system design under the transcritical working condition.

The invention relates to a fault simulation method suitable for engineering simulation of an electric vertical take-off and landing aircraft. The method comprises the following steps: injecting a target fault into a target simulation model of a to-be-tested electric vertical take-off and landing aircraft; controlling a target fault signal to carry out cross-system transmission on a plurality of target airborne systems of the to-be-tested electric vertical take-off and landing aircraft; wherein the target fault signal is a signal triggered based on a target fault; injection data of the target faults and operation data in the cross-system transmission process are obtained so as to be used for evaluating fault responses of the multiple target airborne systems. Through the method and the device, high-fidelity matching of fault injection and an actual fault response scene is realized, and the consistency of fault responses of a plurality of target airborne systems is optimized, so that the authenticity of fault simulation and the effectiveness of fault response evaluation of an electric vertical take-off and landing aircraft jig machine are improved, and the high-fidelity requirement of semi-physical simulation is met.

The invention discloses a method and device for testing the heat conductivity coefficient of a heat insulation material, and the method comprises the steps: firstly, determining the following heat conductivity coefficient influence factors based on an experimental theory; secondly, on the basis of the determined heat conductivity coefficient influence factors, determining the following experimental parameters to be measured: temperature changes of two side surfaces of the heat insulation material to be measured, the thickness of the heat insulation material to be measured after the preset pre-tightening force is applied, the environment temperature, the preset temperature and the temperature rise time; then, different preset pre-tightening forces are applied to the experimental device, the experimental device is heated to different preset temperatures, and to-be-tested experimental parameters are obtained respectively; and finally, based on the obtained experimental parameters to be measured, calculating the heat conductivity coefficient of the thermal insulation material to be measured. The method is designed on the basis of the Fourier heat transfer theory, and the theoretical basis and the design method are reliable and easy to implement; in addition, the application of the heat transfer theory in practical engineering is enriched by obtaining the heat conductivity coefficient of the heat insulation material to be tested, and the engineering design precision and the engineering simulation precision are improved.

The invention discloses an analysis method and system for geometric free deformation optimization of a movable body. The method comprises the steps that the boundary of a CAD model is determined; defining a control domain serving as a deformation area in a three-dimensional space corresponding to the CAD model, and selecting a plurality of control points; selecting a sample primary function based on a control domain and engineering requirements, and constructing a total function; determining a total function value corresponding to each control point group based on the three-dimensional coordinates corresponding to each control point group in the control domain; adjusting the three-dimensional coordinates of the control point group, and automatically deforming the deformation optimization target area in the deformation area; a freezing part and a deformation blocking plane can be arranged in the deformation area, and flexible deformation can be achieved; and geometric surface curvature calculation and verification are carried out on the deformed deformation optimization target area, and a deformed CAD model is obtained after verification is passed. Therefore, it is ensured that the design is stable and reliable, the method can be coupled with a simulation optimization process, and the engineering simulation optimization requirement of a complex model is met.

The invention discloses an experiment device and method for dangerous rock mass collapse induced by earthquake-excavation-acid rain coupling, and belongs to the technical field of geotechnical engineering simulation experiments, and the device comprises a counter-force supporting assembly, an earthquake dynamic disturbance simulation application assembly, an engineering excavation disturbance simulation application assembly and an acid rain corrosion and rainfall simulation assembly; the earthquake dynamic disturbance simulation applying assembly, the engineering excavation disturbance simulation applying assembly and the acid rain corrosion and rainfall simulation assembly are all arranged on the counter-force supporting assembly, and the slope dangerous rock mass model is located in the counter-force supporting assembly. The experimental device can simulate influence factors such as earthquakes, engineering excavation, acid rain corrosion, rainfall and river scouring, the influence factors can be combined at will to simulate the inoculation and induction process of dangerous rock mass collapse disasters under the coupling condition of the various influence factors, and an experimental conclusion is obtained on the basis. The method can reflect the inoculation and induction mechanism of the dangerous rock mass collapse disaster more truly, and provides technical support for the prediction and forecast of the dangerous rock mass collapse disaster.

The embodiment of the invention provides a method and a device for generating a simulation result of computer-aided engineering. The method comprises the following steps of: constructing an application programming interface for realizing a hot plug function of a business plug-in and a third-party business plug-in; when the user determines a target vertical domain type, determining a target business plug-in and / or a target third-party business plug-in based on the target vertical domain type; and calling the target service plug-in and / or the target third-party service plug-in based on the application programming interface to generate a computer-aided engineering simulation result. According to the method, a unified hot plug API interface is constructed to realize thorough module decoupling and open integration by determining field requirements and generating diversified plug-ins, finally, a user can flexibly select and call functional modules to generate simulation results as required, and openness, expansibility and field adaptation capability of CAE software are remarkably improved.

The invention belongs to the field of artificial intelligence and industrial finite element analysis software, and particularly relates to an LLM agent-based Abaqus finite element modeling code generation method and device. According to the method, high-precision and high-reliability finite element analysis script generation is realized through construction of an instruction-code pair database, semantic retrieval and instruction reasoning, code generation and verification and lightweight model deployment. Comprising the following steps: constructing an instruction-code pair database; performing semantic retrieval and instruction reasoning; code generation and verification; and lightweight model deployment. By using the method, the accuracy and the reliability of finite element analysis script generation can be effectively improved, and the threshold and the cost of an engineering simulation task are remarkably reduced. The industrial finite element analysis software script generation method based on the large model agent can be widely applied to finite element analysis tasks in the fields of aerospace, machine manufacturing and the like.

The invention provides a rock mass grouting simulation method and system based on solid-liquid linkage, and relates to the technical field of rock mass grouting simulation.The method comprises the steps that the change relation of density along with time in the solidification process of slurry to be grouted is obtained, and an evolution model of the slurry density and time is established; the solidification process of the to-be-grouted slurry is divided into a plurality of stages, and the physical property of each stage in the solidification process of the to-be-grouted slurry is obtained; and on the basis of the obtained evolution model of the slurry density and the time and the physical property of each stage in the solidification process of the slurry to be grouted, parameters of corresponding time in the rock mass grouting simulation process are changed, and rock mass grouting simulation is carried out. According to the method, the accuracy of the simulation calculation process of geotechnical engineering such as rock mass grouting can be improved.

The invention discloses a stratospheric airship structure optimization design method and a stratospheric airship structure optimization design system based on joint simulation, and aims to solve the problems of long design period, low efficiency and the like caused by consideration of optimal aerodynamic performance due to size or volume limitation in existing airship design. According to the method, the shape of a capsule body is set through Python with a Bezier curve method, the shape of an empennage is set through parameterized design, constraint conditions are output, and three-dimensional CAD software is driven to automatically generate an airship shape model; computational fluid dynamics software is used for completing pneumatic simulation and exporting a report, after Python format conversion, engineering simulation optimization software is imported to build an optimization platform, optimization design is carried out with optimal pneumatic performance as a target in combination with constraint conditions, and finally, optimal structure parameters are verified and output. According to the method, full-process automation from parametric modeling, pneumatic simulation to optimization verification is achieved, the design period is shortened, the efficiency and precision of stratospheric airship structure optimization are improved, and it is ensured that a shape scheme with the optimal pneumatic performance is obtained.

The invention provides a navigation engineering simulation channel dredging device and a simulation method, and belongs to the technical field of channel dredging. A navigation engineering simulation channel dredging device comprises a shell and further comprises a channel simulation box, the channel simulation box is arranged in the shell and used for simulating a channel to be dredged, a sludge layer is laid at the bottom of the channel simulation box, and a telescopic pipe is arranged between the channel simulation box and the inner wall of the shell; the leveling assembly is arranged in the shell and is used for leveling a dredged sludge layer in the channel simulation box; the dredging assembly is arranged on the shell and used for dredging the sludge layer; the shell is provided with a moving mechanism used for driving the dredging assembly to move. By eliminating the interference of the water body on the sludge, the situation that the sludge is turbid in the water body and needs to stand for a long time is avoided, the core problems of low efficiency and non-visual data in a traditional simulation experiment are solved, and a high-fidelity and high-efficiency experiment tool is provided for channel dredging engineering.

The invention relates to the technical field of mechanical engineering and computer-aided engineering simulation, and discloses a mechanical structure industrial simulation method which comprises the following steps: S1, establishing a geometric model, material attributes and boundary conditions of a mechanical structure; s2, constructing a nonlinear multi-physics field coupling model; s3, constructing a micro-scale model, and describing a grain slippage behavior and a phase change characteristic in the material and the influence of the grain slippage behavior and the phase change characteristic on a macroscopic multi-physical field; s4, mapping the microscale model to a macroscopic field through a homogenization method, and establishing a microcosmic-to-macroscopic multi-field coupling model; s5, dynamically solving the coupling model, and optimizing the solving process by adjusting the time step length and the boundary condition in real time; and S6, monitoring the dynamic response of the multiple physical fields in real time based on stability analysis. According to the method, nonlinear coupling analysis among a heat conduction field, a mechanical field and a vibration field is realized, and mutual influence and dynamic response among multiple fields under complex working conditions are effectively captured through the method.

The invention discloses an ice-coated conductor galloping load equivalent loading method and system based on finite element analysis. A conductor model is established based on actual line parameters, a conductor is established based on engineering simulation software, and initial tension is applied; three-component pneumatic parameters are obtained through a full-wind attack angle wind tunnel test, a pneumatic load mathematical model is constructed, and the load on a wire is calculated; and according to the calculated load size, loading a concentrated load on a node in the conductor. According to the method, dynamic aerodynamic force is equivalent to node concentrated force loading through a quasi-static load conversion strategy, and efficient and accurate galloping simulation is realized in combination with conductor nonlinear shape finding and wind tunnel test data. The problems of low dynamic fluid-solid coupling iteration efficiency and high model complexity are solved, and an efficient and reliable technical means is provided for power transmission line anti-galloping design and disaster prevention evaluation.

Disclosed in embodiments of the present invention are an indoor environment simulation method, a system, an electronic device, and a storage medium. The method comprises: acquiring first information and second information, wherein the first information is used for describing an indoor environment, and the second information is used for describing a simulation target of the indoor environment; inputting the first information and the second information to a generative artificial intelligence model; receiving a first script and a second script from the generative artificial intelligence model, wherein the first script is adapted to generate a computer-aided design model of the indoor environment, and the second script is adapted to perform computer-aided engineering simulation on the computer-aided design model to generate a simulation result corresponding to the simulation target; on the basis of the first script, generating a computer-aided design model of the indoor environment; and on the basis of the second script, performing computer-aided engineering simulation on the computer-aided design model to generate a simulation result. Indoor environment simulation can be achieved without the need to manually build a computational fluid dynamics model of an indoor environment, improving applicability.

The invention discloses a numerical simulation method for a heat-fluid-solid multi-field coupling response characteristic, which relates to the technical field of mechanics and engineering simulation and comprises the following steps of: constructing an asynchronous sampling array, performing joint time-frequency acquisition on a periodic pressure pulsation signal of a fluid and a dynamic response signal of a solid structure, extracting a coupling phase fingerprint baseline, and calculating the coupling phase fingerprint baseline. As a unified reference for energy analysis; and performing coherent decomposition based on the coupling phase fingerprint baseline, calculating a phase-locked energy index, identifying an instantaneous resonance window in a dynamic evolution process, and determining a dangerous frequency band and an interface fragile area. According to the method, unified reference of heat-fluid-solid response data is realized by constructing a coupling phase fingerprint baseline; predicting a crack initiation threshold in combination with anti-fact playback and a risk cone; extracting a minimum disturbance set to construct an energy dissipation channel; time reversal micropulses are applied to cooperate with phonon band gaps and shadows for energy storage, phase lock release and vibration extinguishing control are completed, and closed-loop regulation and control of structure safety are achieved.

The invention discloses a Modelica proxy model generation method and device and a medium, and relates to the technical field of engineering simulation, and the method comprises the steps: obtaining an initialization parameter of a Modelica target model, and determining a value range and probability distribution of the initialization parameter; constructing a training data set according to the value range and probability distribution of the initialization parameters; constructing an LSTM neural network model, and determining network parameters of the LSTM neural network model after random initialization; performing training optimization on network parameters of the LSTM neural network model by adopting an MAML algorithm according to the training data set to obtain optimized network parameters; according to the optimized network parameters, constructing an optimized meta-model; and performing small sample training on the optimized meta-model to obtain a Modelica proxy model. According to the method, the solution speed of the Modelica model can be effectively improved, and the modeling simulation efficiency is improved.

1. The name of the design product: electronic device full-process test planning graphical user interface (aircraft engineering simulator). 2. The use of the design product: for electronic device on aircraft engineering simulator. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device display panel is a conventional design, and the rear view, left view, right view, bottom view and top view are omitted. 6. The use of the graphical user interface: the graphical user interface is a full-process test planning operation application interface for electronic device on aircraft engineering simulator. The front view is the main interface of Proof Planner software. The left navigation bar displays nine function modules, namely, test development tool, automatic test, data excitation, companion and backfill, exciter management, test automation tool, network performance monitoring, Pub_Sub test and ICMP / SNMP. The function interface view of the data excitation function module is directly highlighted. Click the companion and backfill function block in the left navigation bar of the front view to enter the interface change state diagram.