451 results about "Electromagnetic simulation" patented technology

The invention provides an artificial intelligence auxiliary antenna design method based on a Gaussian regression process, and the method comprises the steps: employing a script interface to interact with a simulation platform, automatically completing the parameterized modeling process of an antenna model, and setting an excitation condition and a radiation boundary; a multi-dimensional space stratified sampling method is adopted to generate a uniformly distributed sample point set in the multi-dimensional parameter space, and electromagnetic simulation is carried out; preprocessing the data output by simulation to form a data structure suitable for machine learning model processing; integrating the trained MLNN model into a grey wolf optimization algorithm, and optimizing antenna design parameters; and performing electromagnetic simulation on the optimal parameter obtained by optimization, comparing a prediction result with actual simulation data, and verifying the performance of the optimization engine in the target frequency band. According to the method, the problems of insufficient sample generation efficiency, insufficient parameter sensitivity analysis, limited model generalization ability, low convergence speed of an optimization algorithm and the like in the prior art can be solved.

The invention discloses a broadband wave-absorbing material based on an MAX-phase metasurface structure and an impedance matching optimization method of the broadband wave-absorbing material. The wave-absorbing material comprises an MAX-phase ceramic substrate and periodic metasurface structures which are arranged on the surface of the MAX-phase ceramic substrate in an array mode and composed of conductive resonance units. The resonance units are isolated through gaps, an equivalent R1L1C1 series resonance circuit is formed in an electromagnetic field, and a base body is equivalent to a parallel resistor R2. By establishing an equivalent circuit model and optimizing parameters R1, L1, C1 and R2, impedance matching of the wave-absorbing material in a target frequency band can be regulated and controlled, so that the wave-absorbing material at least has an absorption peak of which the reflection loss is less than-10 dB. According to the optimization method, electromagnetic simulation and circuit simulation are combined, optimized circuit parameters are reversely mapped into structure geometric parameters, material preparation is guided, and accurate design and broadband absorption of the wave absorbing performance are achieved.

The invention discloses a TR assembly gold wire bonding process parameter prediction method based on a multilayer perceptron neural network, and belongs to the technical field of microwave device intelligent manufacturing. According to the method, an intelligent mapping model of gold wire bonding geometric parameters and radio frequency performance is constructed by fusing a multi-layer perceptron neural network and parameterized electromagnetic simulation. The method specifically comprises the following steps: generating 45 groups of samples in a process parameter space by adopting Latin hypercube sampling; obtaining an S parameter data set through batch processing electromagnetic simulation; box-Cox conversion and normalization preprocessing are carried out on the data; the method comprises the following steps: constructing an MLP neural network model of a 3-32-16-2 structure, and determining hyper-parameters by using Bayesian optimization; and after training is completed, rapid reverse mapping from target performance to process parameters is realized. According to the method, the number of traditional tests is reduced from more than 200 to 45, the predicted root-mean-square error of S21 is smaller than or equal to 0.12 dB, the determination coefficient is larger than or equal to 0.96, and the parameter backstepping time lt is obtained; according to the method, full-process automation from simulation, training, optimization to production and issuing is realized, and the development efficiency of the TR component is remarkably improved.

The invention provides a radio frequency circuit schematic diagram-to-layout collaborative optimization method and system based on an AI model, and the method comprises the steps: building a mapping database from the geometric parameters of a passive device to corresponding electromagnetic characteristics through obtaining the geometric parameters of the passive device; based on a database, a corresponding AI agent model is trained for each passive device, through the AI agent models, millisecond-level model prediction is used for replacing time-consuming electromagnetic simulation to serve as design guidance, the calling frequency of calculation-intensive electromagnetic simulation is remarkably reduced, the layout parasitic effect is further considered in the schematic diagram design stage, and the design efficiency is improved. And a performance gap between a schematic diagram and a layout is effectively bridged. Then a target schematic diagram is obtained, passive devices in the target schematic diagram are automatically replaced based on a Bayesian optimization algorithm and an AI agent model, and the design period from the schematic diagram to a qualified layout is greatly shortened; by optimizing the layout effect in the schematic diagram design stage, it can be ensured that the simulation performance of the finally generated physical layout is consistent with a schematic diagram simulation result.

The invention relates to the technical field of electrical equipment detection, and discloses a terahertz time-domain spectroscopy-based GIS insulating material nondestructive testing method, which comprises the following steps: acquiring GIS insulating material time-domain signals by using a reflection-type terahertz time-domain spectroscopy (THz-TDS), and separating and reconstructing defect echoes based on electromagnetic simulation modeling in combination with wavelet transform, STFT and a transmission matrix method; multi-dimensional features are extracted, SVM and RBFNN are trained after dimensionality reduction, and a classification and quantitative regression model fusing physical constraints is constructed; and inputting a signal of a sample to be detected into the model to realize rapid, non-contact and accurate detection on the type, size and depth of the defect. The method overcomes the defects that traditional detection is low in efficiency, has damage or is difficult to quantify, the signal-to-noise ratio, the sensitivity and the automation level are remarkably improved, the method can be widely applied to GIS production quality control, installation acceptance, operation and maintenance monitoring, health assessment and life prediction, and powerful support is provided for safe and reliable operation of an electric power system.

The invention discloses a circuit board printing control method and system based on signal transmission loss. And obtaining a target differential transmission line parameter and a circuit board lamination parameter. And establishing an electromagnetic simulation model, and simulating insertion loss, return loss and impedance discontinuous point distribution. The line width, the line spacing and the interlayer hollowed-out area of the differential transmission line are dynamically adjusted through the reinforcement learning model, the proportion of the line width to the shielding layer spacing is limited by a preset critical value, and the line spacing is configured based on the multiple relation of the shielding layer spacing. And a sectional optimization strategy is adopted for the corners of the transmission line. The ratio of the aperture to the diameter of the anti-pad is optimized, and impedance mutation is reduced. According to the method, the key parameters of the target differential transmission line and the circuit board lamination parameters are acquired, and the electromagnetic simulation model is combined with the multi-physical field coupling algorithm, so that the insertion loss, the return loss and the impedance discontinuous point distribution can be accurately simulated. The method improves the adjustment efficiency, guarantees the accuracy of an adjustment result, and effectively reduces the signal transmission loss.

The invention discloses an electromagnetic transient simulation and mapping method and system oriented to multi-physics field coupling, and belongs to the technical field of substation digital operation and maintenance and electromagnetic simulation. Deploying multiple types of sensors in a transformer substation, preprocessing the acquired multi-physical field data, and fusing with the three-dimensional twinborn model; a coupling algorithm is adopted to carry out multi-physical field coupling analysis, multi-physical quantity display and thermodynamic diagram superposition are realized, and scene evolution change simulation under various typical working conditions is supported; a micro-service architecture is adopted to construct a digital twin system, double closed-loop verification of simulation and actual measurement is performed through actual measurement data and simulation data of a real-model test field, model optimization is completed, and real-time mapping of electromagnetic transient dynamic simulation and a transformer substation physical entity is realized. The method improves the precision of model and entity mapping, meets the requirements of real-time tracking and response of the electromagnetic transient change of the transformer substation, adapts to the digital transformation of different transformer substations, and provides a basis for the operation and maintenance of the transformer substations.

The invention provides a DCIM-based method for rapidly calculating a green function of a uniaxial anisotropic layered medium and an electromagnetic simulation system. The method comprises the following steps: modeling a uniaxial anisotropic layered medium to be simulated; determining a uniaxial anisotropic dielectric material of each layer, and assigning transverse parameters and longitudinal parameters; determining longitudinal coordinates of field point and source point distribution required to be solved, fitting a uniaxial anisotropic medium Green function spectral domain expression under the field source distribution by using a DCIM method, and solving an analytical expression in a spatial domain by using Somerfeld identical equation properties; solving the size of the electromagnetic field on the plane according to the fitted analytical expression; compared with a direct numerical integration method or a finite element method numerical solution using the Green function, the method has the advantages that the airspace analytical expression corresponding to the field source distributed on the plane is directly fitted, so that the solution of the airspace Green function is greatly accelerated, and the calculation efficiency and the calculation precision are both good in an actual example.

The invention discloses a biconical antenna balun equivalent circuit modeling optimization method based on a multi-conductor transmission line, and belongs to the technical field of electromagnetic simulation. The method comprises the following steps: firstly, establishing a three-dimensional electromagnetic model of a biconical antenna balun based on a finite element method, and setting ports and defining boundary conditions in combination with an actual current transmission path; then, distribution parameters among conductors are extracted through a multi-conductor transmission line theory, and a Balun circuit topological structure is constructed; and finally, taking the antenna coefficient as an optimization target, carrying out iterative optimization on equivalent circuit element parameters by adopting a multi-target genetic algorithm, considering a plurality of optimization targets in a broadband range, and finally obtaining a high-precision equivalent circuit model. Through combination of electromagnetic simulation and an intelligent optimization algorithm, high-efficiency extraction of complex Balun structure distribution parameters and adaptive optimization of circuit parameters are realized, and the simulation precision of the biconical antenna is remarkably improved.

The invention belongs to the field of electromagnetic field numerical solution, and particularly provides a finite element mesh adaptive method for network parameter analysis of a multi-port microwave device, which comprises the following steps: firstly, establishing a geometric structure of the multi-port microwave device, setting simulation frequency, excitation and boundary conditions, and establishing an electromagnetic simulation model; secondly, performing preliminary division and finite element electromagnetic simulation calculation on a computational domain by adopting a tetrahedral mesh to obtain a numerical solution corresponding to each group of excitation, and synthesizing results based on a posterior error estimation method for posterior error estimation; and finally, according to a posterior error indication grid encryption parameter, carrying out simulation calculation again after encryption, and repeating the process until the solution meets the precision requirement. In conclusion, by combining the characteristics of a finite element algorithm and the characteristics of an error estimation algorithm, in the microwave device network parameter analysis process, multiple sets of excited numerical solutions are comprehensively used for posterior error estimation and grid adaptive encryption indication, so that the analysis precision of network parameters is improved.

The invention discloses a reflection metasurface reverse design method based on deep learning, and the method comprises the steps: generating a corresponding metasurface geometrical shape image according to a given target reflection characteristic through employing a generative adversarial network and combining a conditional generative adversarial network with a Wharisstein generative adversarial network with gradient penalty; and a forward network based on the convolutional neural network is trained to predict reflection characteristics of the metasurface structure, and the reflection characteristics are used as verification of a reverse design result. According to the method, the circular polarization reflection metasurface is designed, time-consuming electromagnetic simulation calculation is avoided, consumption of calculation resources is reduced, and design efficiency is improved.

The invention discloses a knowledge-driven intelligent metasurface unit rapid design method based on double neural networks. Aiming at the problems that a traditional intelligent metasurface unit design process depends on a large amount of electromagnetic simulation and is complex in calculation and low in efficiency, the invention provides a dual-artificial neural network (ANN) proxy model optimization framework combined with physical knowledge guidance. The method comprises the following steps: firstly, respectively training two neural network models to predict the amplitude and phase response of a metasurface unit of a tuning element in different extreme working states; and then, according to the physical prior knowledge of monotonic change of tuning element parameter change on electromagnetic response, the maximum reflection loss and phase difference under any geometric parameter combination are quickly and accurately deduced, so that double-target optimization design assisted by the agent model is realized. By means of the method, the design efficiency and performance of the metasurface unit can be greatly improved, dependence on traditional full-wave electromagnetic simulation is remarkably reduced, and the effectiveness and superiority of the method are verified through simulation and experimental results.

The invention relates to the technical field of GIS partial discharge high-precision three-dimensional positioning, and discloses a multi-stage iteration GIS partial discharge high-precision three-dimensional positioning method, and the technical scheme is characterized in that S1, an electromagnetic simulation model is constructed based on a GIS equipment structure, and the installation position of an ultrahigh frequency sensor is optimized through electromagnetic simulation; s2, performing wide-band adaptive sub-band reconstruction and multi-resolution feature enhancement processing on the acquired signals; s3, calculating three-dimensional focusing energy distribution by adopting a multi-band time inversion method, and extracting candidate discharge positions; s4, screening candidate positions; s5, performing multi-stage hybrid optimization on the screening result to obtain refined three-dimensional positioning coordinates; and S6, outputting a three-dimensional positioning result, and performing performance evaluation based on a confidence index. According to the method, a time delay consistency screening mechanism is introduced, false candidate points which do not conform to an actual signal propagation rule are effectively eliminated, and the accuracy and reliability of a positioning result are remarkably improved.

The invention provides a system platform and method for checking adjustment characteristics of a control system based on semi-physical simulation, and belongs to the technical field of power system control equipment detection. The system comprises an all-digital real-time simulation system (ADPSS), a water turbine governor to be tested, a physical interface communication module, a wave recording device and a signal interaction module. A full-electromagnetic example model constructed based on PSASP is built in the ADPSS, a closed-loop detection environment is constructed through the physical interface communication module and a water turbine governor to be detected, bidirectional signal transmission is achieved through the signal interaction module, and key parameters are recorded through the wave recording device. The method comprises the steps of simulation environment establishment, signal interactive transmission, multi-dimensional detection and check and result judgment and output. According to the method, multi-dimensional checking of the speed regulator acquisition and display function, the transfer function consistency, the grid-connected performance and the like and power grid stability influence verification can be completed without field installation, the coverage scene is comprehensive, the checking precision is high, and the method is suitable for performance detection of different types of speed regulators and has remarkable practical value.

The invention discloses a pre-phase-based one-bit beam reconfigurable metasurface antenna device, which comprises a pre-phase-based one-bit metasurface antenna unit which is designed by adopting a resonance scattering analysis method, two microstrip line paths with different lengths are switched through a single-pole double-throw switch, so that a 180-degree phase difference of a signal is obtained to realize 1-bit phase regulation and control, and the one-bit beam reconfigurable metasurface antenna device is obtained. Electromagnetic simulation software is utilized to optimize geometric parameters and output reflection electromagnetic response of the design model; the overall design of the reconfigurable antenna array panel is carried out based on the designed unit model, and the reconfigurable antenna array panel comprises a sub-panel composed of a plurality of low-cost microstrip antenna array units and a control panel connected with external feed equipment and a main panel.

The invention discloses an electromagnetic simulation grid generation method and device, a storage medium and a program product, and belongs to the technical field of electromagnetic simulation. The method comprises the following steps: segmenting a three-dimensional model into a two-dimensional graph with a preset number of layers in a preset direction; projecting nodes of each layer of two-dimensional graph to a first target plane, determining a mesh generation area according to projection position information of each node on the first target plane, and performing mesh generation on the mesh generation area to obtain an initial mesh of each layer of two-dimensional graph; and performing encryption subdivision on the initial grid of each layer of two-dimensional graph to obtain an electromagnetic simulation grid of the three-dimensional model. Therefore, the complexity of mesh generation can be reduced, and the electromagnetic simulation efficiency can be improved.

The invention discloses a rapid three-dimensional electromagnetic simulation method and verification device for a large-scale uninsulated coil, and aims to solve the problems of large calculation load, difficulty in homogenization, poor field-circuit coupling convergence and low result precision of the three-dimensional simulation of the existing large-scale uninsulated coil. The simulation method comprises the following steps: establishing a homogenized coil which does not divide specific turns, and setting anisotropic resistivity; constructing a current source area intercepted on the coil body and a free turn-to-turn resistance area connected in parallel with the current source area; applying current source excitation according to an open loop / closed loop coil; and the precision is ensured through radial grid encryption and result convergence verification. The verification device comprises a three-dimensional multi-turn verification coil, a direct current source, a multi-direction alternating external field applying module and a voltage and magnetic field measuring unit, direct current is supplied, an alternating external field is applied, and the simulation accuracy is measured and verified in real time. The method is simplified in modeling, rapid in calculation, good in convergence and high in precision, adapts to open-loop / closed-loop and single-cake / multi-cake coils, and is suitable for large uninsulated superconducting coils in rotary and linear motors, nuclear fusion equipment and the like.

The invention discloses a capacitance parameter determination method and device of an iron core sensing device for transformer partial discharge detection, electronic equipment and a storage medium, and belongs to the technical field of sensor design, and the method comprises the steps: obtaining an iron core three-dimensional model of a transformer; performing electromagnetic simulation on the iron core three-dimensional model to generate antenna characteristic parameters of the transformer iron core under each frequency in a preset frequency band; determining a target detection frequency band of the transformer core according to the antenna characteristic parameters; repeatedly executing the parameter adjustment operation of the iron core sensing device until the current test frequency band covers the target detection frequency band, and determining the capacitance parameter of the iron core sensing device; therefore, by implementing the invention, the problem that the capacitance parameters of the iron core sensing device in the prior art are not accurately determined can be solved.

In the system, an electromagnetic simulation module establishes a three-dimensional electromagnetic field model of the transformer based on a finite element method, and calculates magnetic field distribution, winding eddy current loss and iron core hysteresis loss to obtain loss data; the fluid-solid coupling calculation module is connected with the electromagnetic simulation module so as to simulate a transformer oil flowing and heat conduction process based on computational fluid dynamics; the optimization design module is connected with the fluid-solid coupling calculation module so as to perform parametric modeling and optimization on the winding structure, the cooling channel and the cooling fin layout through the hot spot position and temperature distribution based on a multi-target genetic algorithm and an agent model; the state evaluation and heat dissipation adjustment module is connected with the data interaction layer so as to analyze the health state of the transformer based on sensor data and simulation results, predict the hot-spot temperature trend and dynamically adjust operation parameters of the cooling system through a self-adaptive heat dissipation adjustment algorithm.

In the system, an electromagnetic simulation module establishes a transformer three-dimensional electromagnetic field model based on a finite element method, and calculates magnetic field distribution, winding eddy current loss and iron core hysteresis loss to obtain loss data; the fluid-solid coupling calculation module is connected with the electromagnetic simulation module so as to simulate a transformer oil flowing and heat conduction process based on computational fluid dynamics; the optimization design module is connected with the fluid-solid coupling calculation module so as to perform parametric modeling and optimization on the winding structure, the cooling channel and the cooling fin layout through the hot spot position and temperature distribution based on a multi-target genetic algorithm and an agent model; the state evaluation and heat dissipation adjustment module is connected with the data interaction layer so as to analyze the health state of the transformer based on sensor data and simulation results, predict the hot-spot temperature trend and dynamically adjust operation parameters of the cooling system through a self-adaptive heat dissipation adjustment algorithm.

An unmanned aerial vehicle routing inspection path planning method under a same-tower multi-loop power transmission line comprises the following steps: modeling a routing inspection target, and setting a hovering point; establishing a three-dimensional path optimization model; performing preliminary path planning by adopting a genetic algorithm to obtain a preliminary optimal path; carrying out local optimization by fusing a simulated annealing algorithm, and outputting a globally better inspection path; and polling path output and visual display are carried out. According to the method, firstly, a high-altitude hovering point is set based on a tower structure, an electromagnetic simulation result and a shooting visual angle, and then a three-dimensional path optimization model including constraints such as a safety distance and obstacle avoidance is constructed. A genetic algorithm is adopted to perform preliminary path search, and a simulated annealing algorithm is fused to perform local optimization, so that the globality and stability of a path solution are improved. The result shows that compared with a single algorithm, the method can effectively shorten the path length and improve the inspection efficiency, and is suitable for unmanned aerial vehicle intelligent inspection application of the multi-loop high-voltage transmission line.

The invention relates to the field of simulation optimization design of monitoring probes and clamps, in particular to a simulation optimization design method of a monitoring probe with high and low temperature characteristics and a clamp of the monitoring probe. The current monitoring probe structure comprises a special magnetic core with wide temperature range adaptability, a monitoring probe cavity, a magnetic core winding structure and an N-type connector, the special magnetic core is a magnetic core material which keeps non-zero magnetic conductivity under a high-temperature working condition, and it is ensured that the current monitoring probe has stable electromagnetic monitoring capacity within the wide temperature range from-40 DEG C to + 40 DEG C; the shell design of the current monitoring probe follows the minimum adaptation principle, and electromagnetic simulation software is adopted to carry out iterative optimization on the number of turns and arrangement mode parameters of a magnetic core winding for the magnetic core winding; the monitoring probe clamp is composed of two side clamping plates, an upper cover body capable of being opened and closed, a lower fixing base, a center conductor and N-type connector input assemblies on the left side and the right side. The method is suitable for monitoring probe and clamp simulation optimization.

The invention discloses a multi-channel switching antenna based on a translation reconfigurable metasurface array, and relates to a multi-channel switching antenna design technology, in particular to a function of translation regulation and control of a beam deflection angle of a translation reconfigurable metasurface. And therefore, the functions of channel switching, dual-channel output and the like can be achieved. The multi-channel switching antenna comprises a translation reconfigurable metasurface array, a mechanical driving system, a feed circuit and a horn antenna array. The main process of the design method is that phase distribution of the translation reconfigurable metasurface is solved based on the generalized Snell law, the differential equation and the Rayleigh-Sommerfeld formula, then the metasurface unit structure and the translation reconfigurable metasurface which meet the requirements are designed through electromagnetic simulation software, arraying is conducted on the translation reconfigurable metasurface, and finally the translation reconfigurable metasurface is obtained. The multi-channel switching antenna based on the translation reconfigurable metasurface array is obtained, and the functions of channel switching, dual-channel output and the like can be achieved.

The invention provides a neural network-based TGV model S parameter rapid prediction method and system. The method comprises the steps of setting TGV structure parameters of multiple groups of combination schemes, obtaining corresponding S parameter data through an electromagnetic simulation tool, constructing a simulation data set, training a neural network model after preprocessing and feature extraction, and inputting the TGV structure parameters into the trained model to quickly obtain corresponding S parameters. And meanwhile, through a neural network reverse optimization module, in combination with a genetic algorithm and a fitness function, an optimal TGV structure parameter is reversely deduced according to a target performance demand. The system comprises a simulation data set module, a neural network model module and a reverse optimization module. According to the method and the system, full-wave simulation does not need to be repeatedly carried out, S parameter prediction can be completed only through millisecond-level calculation time, the design time is greatly saved, the TGV structure design and optimization efficiency is improved, multiple performance index requirements can be accurately matched in a large-scale parameter space, and efficient adaptation of design and machining is achieved.

The invention relates to an interconnection line parameter extraction method based on a layered medium Green function improved moment method and a program product, and the method comprises the following steps: setting a sweep frequency parameter and a layered medium structure parameter, constructing a layered medium Green function, and carrying out the calculation to obtain an approximate solution of the layered medium Green function; establishing an electric field integral equation under the layered medium, and performing discretization processing to obtain a corresponding matrix equation; and performing iterative solution on the matrix equation to obtain the overall current distribution of the model, calculating the current value and impedance / admittance value of a port, performing electromagnetic calculation in a frequency sweep mode to obtain different port parameter values, and finally obtaining a parameter-frequency curve to complete the extraction of the port parameters. Compared with the prior art, the stratified medium Green function is fused into the frame of the enhanced electric field integral equation, electromagnetic simulation calculation of the full wave band from 0 frequency to 20 GHz can be achieved, and the method has the advantage of being high in calculation and solving efficiency.

The invention discloses a ground plane segmentation method and device for a hybrid PCB, and belongs to the field of PCB design, and the method comprises the steps: inputting the characteristic parameters of the hybrid PCB into a land division decision model, enabling the land division decision model to carry out the layer-by-layer judgment according to the characteristic parameters, and outputting a first land division strategy; constructing an electromagnetic simulation model based on the first land division strategy, executing predefined simulation analysis according to the electromagnetic simulation model, and optimizing the first land division strategy through a preset optimization rule base when a simulation analysis result does not meet a preset requirement to generate a second land division strategy; and based on the first land division strategy or the second land division strategy, automatically generating a segmentation line through PCB design software, and placing a connection bridge and a compensation element so as to complete the ground plane segmentation of the hybrid PCB. Therefore, by implementing the method, the targeted ground plane segmentation design can be performed according to the related parameters of the hybrid PCB, so as to ensure the signal integrity and electromagnetic compatibility of various hybrid PCBs.

The invention discloses a dynamic antenna joint optimization method oriented to constraint conditions. In the global optimization process, a non-dominated sorting genetic algorithm is introduced to optimize the topology, and a multi-acquisition function set including expectation improvement EI, improvement probability PI, upper confidence bound UCB, feasibility probability PF, a prediction constraint mean value and a normalized value of the prediction constraint mean value to a prediction constraint variance is adopted as a fitness function. According to the method, constraint independent processing and balancing of exploration and development in the optimization process are achieved, meanwhile, multiple candidate solutions are generated in one round of iteration, verification is carried out through parallel electromagnetic simulation, if a termination condition is not met, according to errors of agent model prediction and actual response, a design space is dynamically adjusted, and the group of data is added into a training set, so that the optimization process is completed. And retraining the proxy model and performing next optimization. According to the method, the efficient antenna performance optimization under the constraint condition is realized, and the optimization time is remarkably shortened at the same time.

The invention provides a multidisciplinary collaborative design and engineering digitization platform for a motor system, which integrates natural language processing and large language model technologies, is connected with electrical, electromagnetic, thermal and control multidisciplinary simulation tools, realizes full-process collaborative optimization from demand input to manufacturing output, and improves the design efficiency. The platform converts a natural language into standardized parameters through an instruction analysis module, drives electrical modeling, electromagnetic simulation, thermal analysis and control algorithm design, automatically generates a two-dimensional / three-dimensional model and a corresponding processing technology file based on an optimization result, and further constructs a unified digital main line through an engineering data middle platform. Integrated management and closed-loop optimization of design, simulation and manufacturing data are achieved, meanwhile, a user can monitor a simulation result and manufacturing feasibility in real time through a graphical interface, the platform supports interdisciplinary collaborative iteration and parameter linkage closed-loop optimization, the design efficiency and manufacturing feasibility are remarkably improved, and the design cost is reduced. The method is suitable for digital and intelligent development of a motor system in the industrial and scientific research field.

The application discloses a high-voltage vacuum arc-extinguishing chamber contact resistance and equivalent thermal analysis method, comprising the following steps: three-dimensional equivalent modeling of the high-voltage vacuum arc-extinguishing chamber; determining the number and position of the contact piece contact points; experimentally measuring the high-voltage vacuum arc-extinguishing chamber loop resistance and calculating the contact radius; establishing a conductive bridge, and obtaining a simulation loop resistance by an electromagnetic simulation software; adjusting the contact radius so that the simulation loop resistance is consistent with the experimental measurement result, and obtaining an adjusted conductive bridge; performing electromagnetic field-thermal field-airflow field two-way coupling simulation analysis based on the high-voltage vacuum arc-extinguishing chamber equivalent model of the adjusted conductive bridge, and obtaining the high-voltage vacuum arc-extinguishing chamber temperature rise distribution. The application can more accurately simulate the current constriction effect on the large-size high-voltage vacuum contact piece and more accurately simulate the high-voltage vacuum contact piece contact resistance.

The invention discloses an electric power system simulation method and system based on a large language model, and is used for solving the technical problem that the simulation efficiency is relatively low due to the fact that an existing electric power system simulation method needs to repeatedly carry out parameter tests and the process is too tedious. The method comprises the steps of obtaining a natural language description simulation task; inputting the natural language description simulation task into a preset electromagnetic simulation guide core large language model for code reasoning, and outputting a target simulation code; and performing simulation calculation on the target simulation code by adopting an electromagnetic transient simulation platform of the power system to generate a target simulation result.