863results about How to "Improve design efficiency" patented technology

The invention provides an EDA software implementation method and system for memory IP layout optimization, and relates to the technical field of memorizers, the method comprises the following steps: receiving a memory IP design parameter and an optimization target input by a user, and calling a matched basic unit module from a pre-established hierarchical memory IP library according to the design parameter; an initial memory IP layout scheme is generated based on the basic unit module, the initial memory IP layout scheme is rapidly evaluated by utilizing a neural network model, a plurality of optimized layout candidate schemes are generated by adopting a genetic algorithm, and each optimized layout candidate scheme comprises different basic unit arrangements, metal layer use strategies and buffer insertion positions; performing parallel simulation on the optimal layout candidate scheme, and selecting an optimal layout scheme; and performing post-simulation verification on the optimal layout scheme, wherein the post-simulation verification comprises static time sequence analysis, dynamic power consumption analysis and electromagnetic compatibility analysis.

The invention relates to the technical field of industrial automatic control, and discloses an electric control cabinet internal intelligent layout optimization and thermal management system, which comprises an intelligent layout optimization module, which adopts a particle swarm optimization algorithm to comprehensively analyze the multi-dimensional parameter size, the weight, the heat dissipation requirement and the like of internal equipment of an electric control cabinet, realizes layout optimization, and provides a thermal management module for the internal equipment of the electric control cabinet; the method comprises the following steps: receiving equipment parameters input by a user or automatically extracted from an equipment database, including but not limited to physical sizes, power consumption, thermal loads and the like of the equipment, and optimizing targets, including maximizing a space utilization rate, minimizing heat dissipation obstruction, optimizing a maintenance path and ensuring a safe distance between the equipment. According to the internal intelligent layout optimization and heat management system of the electric control cabinet, by comprehensively applying artificial intelligence, three-dimensional modeling, a multi-element heat dissipation technology and an Internet of Things technology, optimal layout and efficient heat management of internal equipment of the electric control cabinet are achieved, and the operation efficiency, safety and maintainability of the electric control cabinet are remarkably improved.

The invention provides a multi-sealing method and system for a high-vacuum die-casting die based on topological optimization, and relates to the technical field of die structures.The multi-sealing method comprises the steps that a sealing structure parameterized model is established, geometric parameters and boundary conditions of a cavity wall face are obtained, an initial design domain is constructed, and grid units are divided; carrying out topological optimization calculation based on a multi-objective function considering contact stress distribution, and iteratively optimizing the relative density of grid cells by adopting an SIMP method; and according to the obtained topological configuration of the sealing structure, multiple sealing structure design is carried out, a three-dimensional entity model is constructed, and the sealing performance is verified through finite element analysis.

The invention relates to the technical field of slurry valve design, and discloses a large-diameter slurry valve sealing structure design method and device suitable for a high-wear working condition, and the method comprises the steps: firstly obtaining key geometric parameters of a sealing structure, constructing a three-dimensional topological basic model and a mechanical property simulation model, and then carrying out the fusion to form a digital twin model; then constructing a wear morphology time sequence data set; meanwhile, three-level early warning threshold values are set for the key working condition parameters, a working condition risk grade division rule is established, and a real-time working condition risk grade is obtained according to the working condition risk grade division rule; and finally, based on the wear morphology time sequence data set and the real-time working condition risk level, constructing a wear evolution prediction model, and optimizing key geometric parameters of the sealing structure in combination with a digital twin model to obtain an optimal geometric parameter combination. Accurate prediction and optimal design of the abrasion state of the sealing structure of the large-diameter slurry valve can be achieved, the service life of the sealing structure under the high-abrasion working condition is remarkably prolonged, and the reliability of the sealing structure under the high-abrasion working condition is remarkably improved.

The invention relates to an intelligent control method for a high-speed aircraft, and the method comprises the steps: building an aircraft control architecture, carrying out the decision-making of a neural network model, training a decision-making neural network, and carrying out the real-time compensation of a control instruction according to the flight state of the aircraft, so as to achieve the control of a variable-configuration high-speed aircraft. An aircraft controller adopts a model + learning double-layer architecture, a decision neural network is designed to be of a Double Network structure, overload errors of pitching, yawing and rolling channels are considered in a reward function design, training of a decision neural network model is based on a double-delay deterministic strategy gradient algorithm, a training process is optimized by adopting a prior experience playback technology and a target strategy smoothing mechanism, and a decision neural network model is obtained. The control system can achieve real-time intelligent adjustment of control instructions, overload quantities and attitude angles of three channels of the aircraft and corresponding rudder deflection instructions output by the controller at the last moment are obtained from the environment, the intelligent body outputs control instructions of pitching, yawing and rolling channels, and therefore intelligent control over the variable-configuration high-speed aircraft is achieved.

The invention provides a three-dimensional pipeline support hanger batch plotting method and device, and the method comprises the steps: obtaining model data of a selected plotting three-dimensional pipeline support hanger, supplementing and matching material information data and inputting self-defined data, and carrying out the conversion to form final three-dimensional pipeline support hanger model output data; and outputting data based on the three-dimensional pipeline support hanger model, matching and replacing data in a standard drawing template, and generating a finished product support hanger construction drawing. The overall drawing efficiency of the support hanger can be improved, the workload of manual drawing is reduced, human errors are reduced, the design process is optimized, and the design efficiency and quality are improved.

The invention provides a residual stress prediction method considering ultrasonic peening process parameters of a welded joint, and the method specifically comprises the following steps: carrying out thermal-mechanical coupling simulation of a welded structure based on a finite element method, obtaining a residual stress field of the welded structure, taking the residual stress field as initial stress, and building an ultrasonic peening processing finite element model; on the basis of a hypercube Latin sampling method, a parameter combination sample is extracted, corresponding residual stress data after ultrasonic peening are obtained through simulation, and a residual stress prediction function model containing an undetermined coefficient is established with ultrasonic peening parameters as independent variables. And based on a particle swarm optimization algorithm, training to obtain an undetermined coefficient value which enables a prediction effect to be optimal, and completing establishment of a prediction function model. Therefore, the optimal process parameter combination of ultrasonic peening can be obtained so as to improve the mechanical property of a welded joint. According to the residual stress prediction method considering the ultrasonic impact process parameters of the welding joint, a basis is provided for improving the service performance of a large-scale thin-wall part welding structure.

The invention discloses an electronic sand table personalized recommendation system in a virtual construction system based on GraphRAG. The electronic sand table personalized recommendation system comprises a data acquisition module used for acquiring user behavior data, scene perception data and industry knowledge data; the data processing and analysis module is used for analyzing user behavior data and scene recognition and comparison; the GraphRAG retrieval enhancement module is used for constructing a knowledge graph, retrieving a template and a component library and enhancing the retrieval capability; the personalized recommendation module is used for recommending sand table templates and sand table components; the personalized explanation generation module is used for generating personalized explanation for the recommended templates and components by utilizing a GraphRAG technology; the visual interaction module comprises a template, component interaction and dialogue interaction; and the dynamic adjustment updating module is used for scene change identification and user feedback analysis. According to the method, the behavior data of the user and the three-dimensional scene information are combined, and the industry knowledge graph is utilized, so that scene perception and personalized recommendation are realized, and the intelligent level of virtual construction is effectively improved.

The invention relates to a permanent magnet synchronous motor design method based on a multi-objective optimization algorithm, and the method achieves the efficient design and optimization of a permanent magnet synchronous motor through the combination of finite element simulation, multi-physical field coupling analysis, neural network performance prediction, and a hybrid optimization algorithm of a genetic algorithm and particle swarm optimization. The method comprises the following steps: determining a plurality of design targets according to an application scene of a motor, selecting key design variables, performing data cleaning and normalization processing, performing electromagnetic field, thermal field and mechanical field simulation by using a multi-physics field coupled finite element model, predicting the performance of the motor by combining LSTM and Transform neural network models, expanding a training data set through a data enhancement technology, and performing data enhancement on the motor. Finally, a hybrid optimization algorithm combining a genetic algorithm and particle swarm optimization is adopted to carry out global optimization and adaptive adjustment of design parameters, and a Pareto optimal leading edge is utilized to find out an equilibrium solution between design targets, so that the accuracy and efficiency of motor design are improved, and the method is suitable for various motor design scenes.

The invention discloses an information communication network technology, a method and equipment. The information communication network comprises a service network and a bearing network, the service network is used for generating, organizing, managing and controlling services and applications on the information communication network, the bearing network is used for transmitting data packets generated by the service network, the access capability of the bearing network is the same as that of a traditional internet, and the bearing network can provide end-to-end credibility, safety, certainty and other capabilities for the service network. The information communication network can support services (namely OTT services) which can be supported by the traditional internet and are completely decoupled by a service network and a bearer network, and can also support services (namely non-OTT services) which cannot be supported by the traditional internet and have collaborative management and control requirements on the service network and the bearer network. A traditional internet is a network which takes a service network as the center and takes a bearing network as the best effort for transmission. The information communication network is centered on the bearer network, and the service network can obtain support of credibility, security, certainty and other capabilities provided by the bearer network.

The invention relates to a three-dimensional channel structure design method of a micro-channel heat exchange module and a related device thereof. The method comprises the following steps: inputting a heat conduction coefficient and a convective heat transfer coefficient of a micro-channel heat exchange module into a Rayleigh-Ritz coupling model for kinetic analysis to obtain channel structure parameter data; performing temperature field and pressure field acquisition on the channel structure parameter data, and performing time sequence feature extraction through a double-space-time automatic encoder to obtain a fluid dynamic feature data matrix; inputting the fluid dynamic characteristic data matrix into a recursive window Bayesian network, and calculating a heat exchange efficiency weight coefficient, a fluid resistance weight coefficient and a heat transfer uniformity weight coefficient to obtain a channel optimization objective function; and according to the channel optimization objective function, carrying out global iterative calculation on the channel main body structure by utilizing a genetic algorithm, and carrying out local optimization on the shunting and converging structure by adopting numerical simulation to obtain a three-dimensional channel structure optimization scheme. According to the method, the optimization precision of the channel structure parameters is effectively improved.

The invention discloses a cultural and creative design auxiliary system based on element fusion, which is arranged on a server and comprises an element processing module used for extracting design elements and processing and sorting the design elements; the classifying and screening module is responsible for classifying and screening to form different element categories; the creative fusion module fuses elements to generate a design scheme by using an intelligent algorithm and a user interaction interface; the design optimization module carries out fine processing on the design scheme; and the design output and display module outputs the design scheme into various formats, and provides virtual reality VR and augmented reality AR display technologies. According to the method, through automatic extraction and processing of design elements, intelligent classification and screening, auxiliary creative fusion, fine optimization and diversified output, the design efficiency and quality are remarkably improved, meanwhile, creative diversity and novelty are promoted, the workload of designers is reduced, and the innovation and market response speed of creative products is increased.

The invention discloses a traction fan lightening method and device, a storage medium and a product, and relates to the field of structure optimization. The method comprises the steps that topological optimization calculation is conducted on a base finite element model, the base finite element model is lightened according to an optimization result, and a base model after primary optimization is obtained; performing topological optimization calculation on the finite element model of the air duct, and lightening the finite element model of the air duct according to an optimization result to obtain an air duct model after primary optimization; according to the air duct model after primary optimization, a multi-objective optimization function with the section size and the part wall thickness of the base model after primary optimization as design variables, the original mode of a base, the rigidity of an installation point and the strength under the acceleration load as design constraints and the minimum mass and the maximum flexibility as optimization objectives is constructed, multi-objective optimization is carried out, and a multi-objective optimization result is obtained; and determining the traction fan of the motor vehicle. The lightweight effect and efficiency of the traction fan of the motor vehicle can be improved.

The invention discloses a medium metasurface reverse optimization method based on a space coupling mode theory, and relates to the field of optics, and the method comprises the following steps: building a cut-off waveguide array based on a metasurface, calculating a guided mode and a propagation constant of each waveguide according to the cut-off waveguide array, and coupling adjacent waveguides through a coupling matrix, a waveguide array is obtained; an input light field is coupled into a waveguide array, propagation of light in waveguides is simulated based on a spatial coupling mode theory model, and near-field intensity distribution is converted into far-field intensity distribution by using a Rayleigh-Sommerfeld diffraction theory; and calculating the difference between the target intensity and the far-field intensity through a loss function, evaluating the effect of the current metasurface design, and gradually adjusting the geometric parameters of the waveguide unit through an optimization algorithm. According to the method, the problems of efficient modeling and optimization in metasurface design are solved through the space coupling mode theoretical model.

The invention relates to the technical field of tooling, particularly provides a design method of a stamping tooling, the stamping tooling, equipment and a storage medium, and aims at solving the problems that an existing design method of the stamping tooling is long in period and low in efficiency. To this end, the stamping tooling of the present invention comprises: a main rod assembly comprising at least two main rods and a connecting plate for fixing the main rods; one end of the supporting rod is connected with the main rod through a main connector, and the other end is connected with the sucker through an adapter. The design method comprises the following steps of determining a main reference coordinate system of the stamping tooling and a first reference point of a suction cup based on data of a stamping part; establishing a main rod assembly model based on the main reference coordinate system; planning a strut path of the strut based on the first reference point and the main rod assembly model; and based on the supporting rod path, a supporting rod model is established, a suction cup model is established based on the first datum point, and assembling of the stamping tooling is completed. According to the design method, the design period is shortened, and the standardization degree of the design is improved.

The invention discloses a scheme rapid design method, system and equipment for a non-standard customized power distribution cabinet and a medium, and relates to the technical field of power distribution cabinets, and the method comprises the steps: evaluating dimensions based on a customized scheme, carrying out the classification and arrangement of user customized demand information, forming a plurality of customized demand groups of different evaluation dimensions, and determining the design elements of the power distribution cabinet; according to the customization demand group and the power distribution cabinet design elements thereof, combining with an existing power distribution cabinet design resource information base to carry out resource matching and preliminary design parameter determination; generating a preliminary design scheme, and obtaining user feedback behavior data for the preliminary design scheme; analyzing the intention degree of the user according to the user feedback behavior data, and carrying out optimization adjustment to obtain design scheme parameters of the personalized demands of the user; according to the optimized design scheme parameters, a final design scheme is rapidly generated; on the basis of ensuring the design quality of the non-standard customized power distribution cabinet and meeting the large-batch and personalized market requirements, the scheme design efficiency of the non-standard customized power distribution cabinet is improved.

The invention relates to the technical field of topological optimization, and discloses a thermal coupling multi-scale parallel topological optimization method for additive manufacturing, and the method comprises the steps: dividing a macroscopic design domain into a plurality of macroscopic sub-design domains through a fuzzy C clustering method, and mapping the information of the macroscopic sub-design domains on the microcosmic level as the constraint condition of microcosmic optimization; performing equivalent static conversion on the transient temperature load, and introducing an equivalent thermal load into the multi-scale topological optimization model; macroscopic and microscopic thermal coupling finite element analysis is carried out according to the thermal coupling control equation, and a displacement vector matrix is solved by using an HHT-alpha method; sensitivity analysis is carried out on macro and micro objective functions and constraint conditions, and a moving asymptote MMA method is used as a solver for macro and micro design variable updating; and filling the microstructure into the macroscopic configuration to obtain an overall configuration, judging a convergence condition, and if the condition is met, outputting an optimal material distribution structure and an optimal microscopic configuration. The method can better reflect the real working state of the workpiece.

The invention relates to the technical field of data processing, and discloses a BIM-driven steel structure collaborative design method, device and equipment. The method comprises the steps of performing parameterization processing on building information data to obtain intelligent BIM data; performing multidisciplinary data exchange processing on the intelligent BIM data to obtain collaborative design data; performing intelligent structure analysis processing on structure information in the collaborative design data to obtain optimized structure data; performing adaptive component design processing on the optimized structure data to obtain customized component data; performing virtual construction simulation processing on the customized component data to obtain construction optimization data; intelligent operation and maintenance processing is carried out on the construction optimization data and the actual construction data, full-life-cycle management data are obtained, and the full-life-cycle management data comprise real-time monitoring data, performance evaluation results and predictive maintenance suggestions. The efficiency and accuracy of steel structure collaborative design based on BIM driving are improved.

The invention provides an automatic design method and device of a photovoltaic power station, a medium and a product. The design method of the photovoltaic power station comprises the steps of obtaining a three-dimensional model of a photovoltaic power station installation area; equipment specification parameters are selected from a preset equipment specification parameter library, photovoltaic power station layout design is carried out on the three-dimensional model, at least one to-be-selected three-dimensional layout scheme is generated, multiple specification parameters of multiple pieces of equipment of the photovoltaic power station are pre-stored in the equipment specification parameter library, and each specification parameter of each piece of equipment comprises multiple to-be-selected parameters; and outputting all the three-dimensional layout schemes to be selected. The system can automatically select various specification parameters of various equipment of the photovoltaic power station for layout design of the photovoltaic power station, so that the workload of manually inputting the specification parameters of the equipment of the photovoltaic power station by a user is reduced, the automation degree of the design of the photovoltaic power station is effectively improved, and the design efficiency is favorably improved.

The invention relates to the field of boring machine main shaft design, in particular to a boring machine main shaft design method and system based on finite element analysis, and the method comprises the steps: collecting a main shaft design target and a machining environment condition, building a main shaft geometric model, carrying out the key performance feature extraction of the main shaft geometric model, and obtaining a key performance feature set; performing gridding processing on the key performance feature set, dividing the key performance feature set into a plurality of grid regions, evaluating the performance influence of the processing environment condition on the main shaft based on the gridding processing, obtaining a gridding processing result, generating an optimization analysis result for the gridding processing result, and performing parameter revision to obtain a main shaft performance optimization result. And obtaining a spindle design implementation scheme. According to the method, the problem that the actual performance of the main shaft cannot be accurately predicted under the complex working environment and the high-load condition is effectively solved, and the machining quality and precision are effectively improved.

The invention belongs to the technical field of automobile structure design, and particularly relates to a large-model-based automobile body structure generative design method and system, and the method comprises the steps: building a multi-source database containing automobile body structure pictures, design variables and mechanical properties; training a vehicle body structure performance evaluation model and generating an evaluation model according to the database; on the basis of the generated evaluation model, the general text graph large model is finely adjusted, and a vehicle body structure generative design large model is obtained; generating a structure picture by using the obtained large model, and establishing a structure size evaluation model in combination with a database; inputting design requirements and constraint conditions, generating a vehicle body structure, evaluating the performance and size of the vehicle body structure, and outputting a final result. According to the method, the problems of low efficiency and strong dependence on experience of engineers in an existing automobile concept design stage are solved, the efficiency and creativity of automobile body structure design are improved, the design period is shortened, manual intervention is reduced, and automation and intelligence of automobile body structure design are promoted.

The embodiment of the invention provides a simulation method and device of a network-on-chip, electronic equipment and a storage medium, and relates to the technical field of the network-on-chip. The method comprises the steps of obtaining network simulation structure parameters, task simulation distribution parameters and performance optimization conditions; acquiring a simulation task of the network-on-chip; acquiring the simulation scale of the network-on-chip; and based on a solver of the satisfiability model theoretical model, obtaining an optimal node physical topology simulation result corresponding to the simulation task in the simulation scale under the condition that the network simulation structure parameters, the task simulation distribution parameters and the performance optimization conditions are satisfied. On one hand, the design difficulty of the network-on-chip can be reduced; and on the other hand, the optimal node physical topology simulation result obtained through the solver of the satisfiability model theoretical model has relatively high accuracy, has relatively strong reference significance for the design of the network-on-chip, and is beneficial to improving the design efficiency of the network-on-chip and improving the design accuracy of the network-on-chip.

The invention relates to a blade-like curved surface global consistent geometric design method based on a PHT spline, and the method comprises the steps: carrying out the high-precision fitting of a blade-like complex curved surface and the geometric features of the blade-like complex curved surface through employing a PHT-spline curved surface. According to the main technical scheme, the method comprises the following steps: splicing and cutting a parameter domain into a globally consistent complete single parameter domain as a definition domain of a PHT spline through a boundary consistency re-parameterization process; geometric features and boundary information are comprehensively considered, a to-be-fitted data point set is obtained through reasonable sampling, and corresponding high-order geometric information is calculated; and performing high-precision fitting by controlling hierarchical subdivision of a grid to obtain a blade curved surface represented based on a PHT spline. According to the method, the problem of discontinuity caused by cutting and splicing in a traditional design method is solved, the global consistency of the overall design is ensured, and meanwhile, the design precision and efficiency are improved.

The invention discloses an urban drainage network optimization design system, and relates to the technical field of urban drainage optimization, a data collection and preprocessing module is utilized to collect basic data, a parameter determination module is utilized to determine the rainfall intensity, the ground permeability, the sewage concentration and the pipeline cleanliness, and a comprehensive evaluation optimization module is utilized to optimize the urban drainage network. The drainage efficiency and cost effectiveness of rainwater and sewage are calculated and output respectively, a comprehensive evaluation result reflecting the sustainability of the whole drainage system is calculated and output in combination with the drainage efficiency and cost effectiveness of rainwater and sewage, and a detailed drainage network optimization design scheme is analyzed and formulated in combination with the drawn line graph. According to the method, innovative means of refined parameters, comprehensive cost-benefit analysis, systematic comprehensive evaluation and an intelligent feedback mechanism are introduced, and a more scientific, comprehensive and efficient solution is provided for planning, design, operation and maintenance of the urban drainage network.

The invention discloses an MEMS sensor intelligent design method and system based on a generative network, which are used for efficiently generating a plurality of feasible structures under given sensor performance requirements, and the method comprises the following steps: obtaining MEMS sensor experimental data based on finite element simulation; constructing and training a verification network to realize forward design from a sensor structure to performance parameters; constructing and training a generative network CVAE-GAN to realize reverse design from performance to structure parameters; and constructing a multi-solution generator G-MS model for efficiently generating multiple groups of structure parameters meeting performance requirements. Compared with an MEMS sensor design method based on finite element simulation, time-consuming multi-physical field simulation and manual parameter adjustment are not needed, and the method has the advantages of being high in speed, high in precision and intelligent; compared with other MEMS sensor intelligent design methods, the method has the advantages that the efficiency and quality of generating a plurality of different design schemes under given performance requirements are remarkably improved, the design period is shortened, and rapid iterative design is achieved.

The invention relates to the technical field of computer aided design, in particular to a fan model generation method and system. The method comprises the following steps: acquiring basic design parameters and constraint conditions of a fan, and performing fan model simulation generation and aerodynamics analogue simulation to generate aerodynamics simulation fields corresponding to different fan models; performing fan blade power curvature and airflow vibration evaluation analysis on the aerodynamic simulation fields corresponding to the different fan models, and performing fan airflow efficiency calculation at the same time to obtain fan air flow efficiency corresponding to the different fan models; performing operation acoustic noise evaluation analysis and performance curve simulation analysis on the corresponding fan three-dimensional models to generate airflow efficiency-noise performance curves corresponding to different fan models; a fan optimization model is generated by obtaining a corresponding fan constraint optimization target and performing time sequence energy efficiency ratio optimization design. The design effect and efficiency of the fan model can be improved.

The invention relates to the technical field of bioinformatics, in particular to a mining method and system for synthetic biology functional elements and a storage medium. The method comprises the following steps: acquiring functional demand data of a target metabolic pathway; performing evolutionary distance analysis and function prediction on homologous genes of a plurality of species according to the function demand data, and performing protein structural domain conservative classification on preset genome sequence data to obtain candidate element cluster data with function relevance; obtaining expression system data of the host cells; and according to the candidate element cluster data and the expression system data, scoring each functional element based on codon optimization degree, protein folding stability and metabolic load prediction to obtain hierarchical element suitability data. According to the method, factors such as sequence characteristics, expression efficiency and regulation and control network interaction are considered at the same time, multi-level accurate screening is achieved, and therefore the low efficiency and limitation of a traditional screening mode are overcome.

The invention relates to a method and device for designing a controller of a direct-current converter and a medium, and the method comprises the following steps: determining a control condition of the direct-current converter according to a controller design scene, and inputting the control condition into a large language model; establishing a mathematical model of the direct-current converter according to control conditions by using a large language model, and calculating converter control parameters; designing and verifying a circuit simulation model according to the converter control parameters; outputting a controller parameter control code by using a large language model according to the circuit simulation model; and running a controller parameter control code, an inspection program and a controller performance index, and iteratively eliminating error information to obtain a coding result. Compared with the prior art, the method has the advantages of short waiting time and high accuracy.

The invention discloses an LLC resonance parameter forward design method, device and equipment, a medium and a program product, and the method comprises the steps: constructing a resonance mathematical model according to the information of elements participating in resonance in an LLC resonant converter, constructing a phase plane model of the LLC resonant converter based on the resonance mathematical model, constructing a target function according to the phase plane model, and carrying out the forward design of the LLC resonance parameter. Calculating state trajectory parameters based on the objective function, and performing parameter design on the LLC resonant converter according to the state trajectory parameters; according to the LLC resonant converter, the phase plane model of the LLC resonant converter is constructed, so that the state track simulation of the LLC resonant cavity is realized, the design of the LLC resonant parameters is realized through the coordinates of the state points on the phase plane, the parameter design complexity of the converter is effectively reduced, the parameter design efficiency is improved, and the performance of the LLC resonant converter is effectively improved.

The invention discloses a method for generating an electrical system diagram. The method comprises the following steps: establishing a data table and a charting table based on an Excel program; arranging an electrical load information table according to the electrical equipment information, and filling in a load calculation table according to the electrical load information table; automatically calling, configuring and completing transformer parameters from the transformer parameter configuration table according to the transformer capacity and the compensation capacity through the composite nested function; establishing a feed cabinet table according to the number of the transformers, wherein the feed cabinet table comprises configuration of a reactive compensation cabinet, an active filter cabinet, a medium-voltage wire inlet cabinet and a contact cabinet; according to the equipment capacity and the installation power in the load calculation table, configuring outgoing line loop information through a composite nested function; and the CAD software automatically draws all transformer electrical system diagrams in the table by reading the drawing table. According to the method and the device, the problems of large calculation amount, non-uniform model selection, low efficiency and high error rate of a traditional CAD electrical system diagram in related technologies are solved.