49 results about "Modeling and simulation" patented technology

This invention proposes a simulation method and system for the current response of distribution networks based on multi-frequency coupling effects, belonging to the field of power system modeling and simulation technology. The method includes: obtaining the frequency domain admittance matrix of the distribution network; extracting the same-frequency admittance vector and coupled admittance vector; converting each admittance vector into a transfer function, and then converting the transfer function into a discrete state-space model; preprocessing the voltage input signal using dq transform to reconstruct components at specified frequencies; substituting the preprocessed voltage signal into the discrete state-space model to obtain the current response of each frequency component; solving for the optimal weighting coefficients using an adaptive weighting strategy, and linearly superimposing the current responses to obtain the real-time simulated total current response.

The application is based on a parallel flow passage heat exchanger flow distribution simulation method of a general flow resistance model: one, single channel general flow resistance model construction stage: create a general flow resistance model; single channel fine modeling and simulation; obtain pressure drop-flow rate data; fitting to determine the flow resistance coefficient; two, whole machine flow distribution simulation stage: build the whole machine simulation model: establish the three-dimensional geometric model of the macro flow channel system of the target heat exchanger and carry out grid division to obtain the macro flow channel CFD model, abstract all parallel microchannels of the core heat exchange section of the target heat exchanger into a parallel flow resistance network composed of a large number of flow resistance elements, each flow resistance element is endowed with the general flow resistance model with a specific flow resistance coefficient which has been determined in stage one; coupling solution, establish an iteration process, make the error between the driving pressure difference of each flow resistance element and the pressure drop calculated according to the general flow resistance model less than a preset threshold, and the iteration converges; output the flow distribution results of all parallel flow passages of the target heat exchanger.

The application discloses a non-cooperative target satellite rendezvous orbit design method based on active disturbance rejection control and belongs to the technical field of space orbit control. In order to solve the problem of modeling and simulation of relative motion between a mobile satellite and a target satellite under the condition that the parameters of the target satellite are unknown, the application calculates initial position and velocity components in the first geodetic coordinate system of the earth center according to prior orbit parameters of the mobile satellite and the target satellite; a dynamic and kinematic model of the mobile satellite and the target satellite is established; a state equation of relative motion between the mobile satellite and the target satellite is constructed by taking relative motion position, velocity and disturbance acceleration as independent variables; an extended state observer is adopted to estimate state variables; a mobile satellite orbit motion control model is established based on a proportional and differential control framework; and disturbance acceleration is compensated by adopting active disturbance rejection design to realize the rendezvous orbit design of the non-cooperative target satellite. The application does not need to accurately obtain orbit motion characteristics of the target satellite, and the method has strong adaptability.

This invention relates to the field of underground engineering and tunnel numerical simulation technology, and discloses an automatic refined modeling and simulation calculation method based on Flac3D. The steps include: geometric parameter extraction; constructing the tunnel cross-sectional profile based on geometric formulas; generating a point coordinate array by segmenting the profile and combining it with step height correction; constructing a cross-sectional mesh and a three-dimensional model in Flac3D; model layering and initial field assignment; generating a support component array; unbalanced force acquisition and cyclic excavation support; and automatically extracting surrounding rock deformation and support structure deformation and stress data. This invention realizes the automatic generation of a refined three-dimensional model from design parameters to Flac3D, as well as an integrated automatic calculation process of step excavation – support – reaction force application – result extraction, significantly reducing manual operation, improving the precision, consistency and efficiency of tunnel numerical analysis, and providing a fast and reliable modeling and calculation means for tunnel design optimization and construction scheme comparison under complex working conditions.

This invention proposes a physical embedding artificial intelligence differential equation dynamic element modeling method and apparatus. The method includes: constructing a physical model of a power system dynamic element described by a set of differential equations; setting the value range or probability distribution of physical parameters, initial state variables, and input variables in the differential equations to establish a sampling space covering all operating conditions of the element; solving the differential equations using a numerical integrator by performing diverse combination sampling within the sampling space to generate multiple sets of dynamic trajectory data reflecting the evolution of state variables over time; randomly slicing the dynamic trajectory data to generate a training dataset, and then training an artificial intelligence model based on a neural network to obtain a dynamic element artificial intelligence model. This invention is applied to high-precision, high-speed modeling and simulation scenarios for power system dynamic elements, overcoming the bottlenecks of traditional dynamic element modeling in terms of speed, accuracy, and generalization ability.

The present application relates to the technical field of subway construction, in particular to a file collaborative management method and system based on subway construction engineering, comprising the following steps: S1, file collection: collecting real-time data of subway construction site; S2, classification and marking: automatically classifying uploaded real-time data; S3, multi-party collaborative editing and version management: recording the update of real-time data; S4, dynamic construction modeling and simulation: establishing a dynamic three-dimensional model of construction site; S5, data security and permission control: assigning different access permissions according to user roles; S6, automatic risk assessment and early warning: automatically performing risk assessment; S7, file archiving and sharing: archiving all construction data to generate engineering files. The present application improves the intelligent level of construction management and ensures the smooth progress and quality control of the construction process.

This invention belongs to the field of power system modeling and simulation technology, and discloses a method for multi-machine equivalent modeling of distributed photovoltaic (PV) clusters. The method includes: S1, building a model of a single PV system and establishing mathematical models for each sub-module; constructing a simulation environment and building a distributed PV simulation scenario; S2, calculating node voltage sensitivity and constructing an electrical distance matrix; constructing a dynamic characteristic matrix based on the waveforms of active / reactive power after state changes at each PV power station; S3, constructing a comprehensive distance matrix using the weights of the electrical distance matrix and the dynamic characteristic matrix; determining the optimal number of clusters to divide the PV cluster; and S4, aggregating the parameters of PV power stations within the same cluster to construct a multi-machine equivalent model of the distributed PV cluster. This method scientifically considers both electrical distribution characteristics and dynamic characteristics, objectively determines indicator weights, and possesses good engineering applicability.

This invention discloses a method for constructing a microscopic model of recycled concrete and simulating chloride ion erosion based on recursive region segmentation and random convex polygons. The method includes: initializing model parameters; generating a first layer of aggregate and its intermediate zone (ITZ) using a subtractive placement strategy based on recursive region segmentation; subtracting the aggregate and its ITZ from the effective placement area using Boolean subtraction to update the effective placement area; generating a second layer of aggregate candidates within the remaining area; performing adhesion screening by calculating the Boolean intersection area of ​​the second layer aggregate with the first layer aggregate; merging all the first layer aggregates and shifting them outwards to generate a new ITZ; constructing a five-phase microscopic geometric model and exporting it as a standard file; importing the geometric model into simulation software; assigning different diffusion coefficients to the five phases; and performing transient simulation of chloride ion erosion. This invention significantly improves aggregate placement efficiency through recursive region segmentation and Boolean operations, realistically reflecting the multi-layered structure and interconnected interface areas of recycled concrete, and achieving seamless integration of modeling and simulation.

The application relates to a Cu / Al layered composite gradient polycrystal modeling simulation method based on molecular dynamics, which comprises the following steps: generating a polycrystal node file, combining a unit cell to generate and merge a unit cell file, respectively constructing a gradient polycrystal metal model, a gradient polycrystal metal model containing a twin structure and two intermetallic compound polycrystal models; importing the four model files into a simulation tool, reading them in turn according to a preset priority order, setting the directional offset of each model along a set coordinate axis, running a script to generate a combined data file; relaxing and balancing the combined data file under a specified ensemble, importing the balanced file into a visualization tool, performing coloring processing according to the orientation, shape or size properties of the grains, and completing the construction and display of the multilayer composite gradient polycrystal model. The application solves the problems that the existing molecular dynamics modeling simulation method cannot accurately reproduce the Cu / Al4Cu9 / Al2Cu / Al gradient polycrystal structure of the Cu / Al layered composite material, the modeling steps are complex, and the parameter adjustment flexibility is insufficient.

The invention discloses a wind turbine generator gearbox state monitoring and fault early warning method and system. The method comprises the following steps: defining a key part of a gearbox of a wind turbine generator as a flexible body, and constructing a multi-body dynamic model based on the flexible body; the multi-body dynamics model receives input multi-source time sequence data, then performs feature extraction and multi-index fault early warning algorithm processing, and outputs signal abnormal information for the current multi-source time sequence data; the signal abnormal information is gearbox fault data; constructing a mixed data set guided by a physical mechanism and performing data enhancement; and inputting a spatial-temporal feature coding fault diagnosis model based on the enhanced mixed data set, and then outputting a health index. According to the intelligent early warning system for the wind turbine generator gearbox, through the technical innovation of making up for data missing through modeling simulation, improving diagnosis precision through an intelligent algorithm and guaranteeing real-time early warning through edge calculation, a set of intelligent early warning system for the wind turbine generator gearbox which is high in precision, low in time delay and strong in generalization is successfully constructed.

This invention discloses a mathematical modeling and simulation method, system, and device for train wheel axle magnet triggering signals: It acquires actual operating data of the magnets and wheel axles; based on preset probability triggering and trigger count relationships, it fits and solves the unknown parameters of the model to obtain the probability triggering model and the trigger count model; it sets different adjustable parameters, including train speed, total number of train wheel axles, number of magnets, magnet sensitivity, and installation parameters of each magnet; using the probability triggering model and the trigger count model, and substituting the adjustable parameters, it simulates the wheel axle magnet triggering process under different operating conditions, obtaining the magnet number, magnet triggering probability, and trigger count at different timestamps under each operating condition, and generating simulation results of the magnet triggering signal including normal triggering and abnormal states such as missed detection and false detection. This invention simulates the normal signal and abnormal signals such as missed detection and false detection of the wheel axle triggering the magnet by quantifying and characterizing the physical laws and interference factors of the wheel axle-magnet interaction.

The application relates to the field of artificial intelligence, and particularly discloses an industrial design parameterized design system with multidimensional simulation feedback, which comprises a parameterized modeling module, a multidimensional simulation module, a simulation agent model construction module, a multidimensional feedback fusion and optimization module, an iterative convergence discrimination module and an interactive visual feedback module; the parameterized modeling module is used for generating an integrated parameterized three-dimensional model containing geometric features, material distribution and topological structure according to input design parameters. The application constructs an integrated parameterized three-dimensional model fusing geometric features, material distribution and topological structure, realizes millisecond-level real-time updating of the model through an incremental constraint solver, adopts an isogeometric analysis method based on NURBS, unifies the discretization process of modeling and simulation, avoids model conversion errors and realizes seamless connection of parameterized modeling and multi-physical field simulation.

This invention discloses a verification method, system, and storage medium for a digital twin credibility assessment method, belonging to the field of modeling and simulation technology. The method includes: constructing an experimental platform; calibrating the credibility level of the experimental platform to obtain an optimized experimental platform; verifying the accuracy and universality of the assessment method based on the optimized experimental platform; verifying the assessment method based on the accuracy and universality results; obtaining and outputting the verification results. This invention ensures full element coverage with as few experimental platforms as possible, reduces redundancy, lowers the cost of the verification scheme, and allows for fine-tuning of the model for specific experimental platforms, taking into account the impact of the on-site environment on the experiment.

This invention relates to a system performance analysis method based on servo system anti-manipulation, belonging to the field of system modeling and simulation technology. It establishes a servo control structure model based on the servo control system mechanism and obtains the closed-loop transfer function of the servo system. Based on the closed-loop transfer function, it obtains the performance parameter expressions of the servo system, the first theoretical threshold expression for the anti-manipulation condition of the servo system, the relationship between the performance parameters when the aerodynamic hinge torque of the servo system is 0 and the performance parameters under the anti-manipulation condition, and the second theoretical threshold expression for the anti-manipulation condition of the servo system. Based on the design parameter values ​​of the servo to be simulated and the above expressions, it mathematically simulates the divergence threshold of the servo system and the performance parameters characterizing the performance of the servo system under the anti-manipulation condition. Compared with existing technologies, this method not only overcomes the problem that a load tester is difficult to accurately simulate the system performance of the servo under anti-manipulation, but also eliminates the need for a load tester, providing a more economical, convenient, and accurate servo system performance analysis method.

This invention discloses a greenhouse environment modeling and simulation method based on DEVS and an agricultural knowledge graph. First, an agricultural knowledge graph is constructed based on historical data to represent the association rules between crops, the environment, and equipment. Second, based on the greenhouse control system, a DEVS-style atomic model of sensors, inference engine, controller, and actuators is constructed, and these are coupled into a top-level model using the Cadmium framework, defining interaction and synchronization mechanisms. During simulation, real-time environmental data is input, and the proportion of time that environmental parameters are within the optimal range for crops is evaluated. If the proportion is below a threshold, the inference rules are dynamically corrected based on the knowledge graph to generate an optimized environmental control strategy. This invention achieves formal modeling and intelligent simulation optimization of the greenhouse system, improving the accuracy of control.

The application discloses a virtual fitting-oriented garment drape and fit physical modeling and simulation method, relates to the technical field of garment engineering, and specifically comprises the following steps: S100, garment picture preprocessing; S200, garment information extraction and attribute setting; S300, garment drape physical modeling; S400, garment fit quantitative analysis modeling; S500, drape and fit fusion simulation; and S600, simulation result output and optimization. The application takes garment front and back pictures as input, combines virtual human body model skeleton node features, constructs differentiated drape physical models and quantitative fit analysis models, realizes real simulation of drape effect and objective evaluation of fit degree, simultaneously considers simulation efficiency, adapts to the digital fitting needs of massive garments of garment e-commerce, and provides virtual fitting experience with high reality and high reference for users.

This invention discloses a modeling method for grid-type multi-converter based on sub-microsecond simulation, belonging to the field of converter modeling and simulation technology. The method involves discretizing the switching elements to construct a generalized constant admittance switching model based on the LC equivalent circuit. Then, by discretizing the system state matrix, an extended modeling from a single converter to a multi-converter system is achieved. Furthermore, by combining the inertia characteristics of a virtual synchronous generator, a complete grid-type multi-converter model including control elements is established. Finally, a simulation model of the grid-type multi-converter system is built in PSCAD / EMTDC, verifying the correctness and effectiveness of the method. This invention demonstrates good applicability and stability in integrating the generalized constant admittance switching model with the inertia characteristics of a virtual synchronous generator at a sub-microsecond simulation step size. It significantly improves the simulation accuracy and efficiency while achieving rapid convergence of transient processes in the grid-type multi-converter and active support for grid voltage and frequency.

This invention provides a training platform and method for air combat command and decision-making intelligent agents, comprising: a support layer: providing general hardware and software support for modeling, training, demonstration, and verification of command and decision-making intelligent agents, as well as system confrontation modeling and simulation; a resource layer: building a combat simulation model library based on a general simulation platform to quickly build a learning environment to meet different air combat command and decision-making intelligent agent training needs, and building an intelligent agent model library based on a general reinforcement learning platform to meet different command and decision-making intelligent agent training needs; and an application layer: decomposing actual command and decision-making problems according to the application needs of combat command and decision-making intelligence, and specifically integrating intelligent agent training application systems to carry out parallel training of command and decision-making intelligent agents and related technology verification applications. This invention flexibly and quickly constructs intelligent agents and their learning environments, and, guided by military business rules, combines multi-agent parallel training with large scenario samples to improve the training efficiency and generalization and expansion capabilities of command and decision-making intelligent agent models.

This application provides an intelligent control modeling platform, method, and related equipment. In this embodiment, a data and model management module is connected to the visualization modeling and simulation verification module, and is used to provide the visualization modeling and simulation verification module with processed industrial data and callable models. The visualization modeling and simulation verification module is connected to the online optimization and deployment service module, and is used to transmit verified algorithm models to the online optimization and deployment service module. The online optimization and deployment service module receives the algorithm models from the visualization modeling and simulation verification module and deploys the algorithm models to an industrial controller for operation. It also receives real-time operating data from the industrial controller and performs parameter updates or structural optimizations on the deployed algorithm models based on the real-time operating data.

This invention proposes an integrated simulation modeling method for digital twin models of wing structures, belonging to the field of structural modeling and simulation. It includes: constructing a tree-like integrated simulation framework for the wing, encapsulating multi-level simulation models of the wing, online integrated simulation of the wing structure, structural performance prediction and evaluation, and updating the integrated simulation model. This invention expands upon the construction of a multi-level wing model, building a tree-like integrated simulation framework based on the multi-level structural characteristics of the wing. Then, based on the open standard functional prototype interface (FMI), the multi-level wing model is unified into functional prototype unit (FMU) models. Subsequently, the FMUs are integrated in the system simulation software to establish an online integrated simulation model of the wing structure, while simultaneously predicting the mechanical response of key structural components in real time. This invention can improve the modeling efficiency of the system simulation model.

The application discloses a kind of weather-resistant sealing strip structure's modeling simulation method and system, comprising: the initial three-dimensional grid model of the sealing strip to be analyzed is constructed and is given initial material attribute, sequentially applied to model precipitation simulation working condition and dry environment simulation working condition, extract the surface microcrack node in open state and input to local corrosion evolution prediction model to output local corrosion degradation coefficient, after replacing initial corrosion rate parameter, Markov model for surface microcrack node is constructed and degradation coefficient is converted into state transition probability matrix, subsequently, the grid cell degradation state is calculated by Markov model, the surface microcrack node corresponding to the grid cell that occurs perforation failure is marked as high-risk perforation node.The application solves the problem that the prior art cannot effectively simulate and accurately predict the in-situ local punctiform perforation failure caused by microcrack water evaporation concentration.

The application discloses a fire-fighting effect evaluation method under digital modeling, and relates to the technical field of fire-fighting evaluation and public safety management. In a fire-fighting layout digital model, a parallel simulation calculation task is established for each preset fire scene, a dynamic fire development thermodynamic equation and a smoke diffusion calculation model are introduced, a flame heat spreading and diffusion process, a three-dimensional diffusion process of toxic smoke, an automatic starting response process of fire-fighting facilities after reaching a threshold value and an escape and evacuation process of people in a building are independently simulated under multi-level fire conditions, and dynamic simulation characteristic data under each fire scene is batch output. The application constructs a set of physical level general and interactive digital modeling and simulation framework. By introducing a bottom fluid partial differential equation and a thermodynamic model, the application can seamlessly adapt to modern buildings of any heterogeneous structure and complex floor without the need of developing a special model for each evaluation task.

This invention provides an efficient design method and system for vertical shaft cutting heads, belonging to the technical field of underground coal mine transportation equipment. It includes a modeling and simulation module, a data processing module, and an auxiliary module. The modeling and simulation module generates a parameterized cutting head model based on input parameters and performs mesh generation, configuring the boundary conditions and control parameters required for simulation and conducting fluid-structure interaction simulation. The data processing module automatically extracts slag discharge indicators from the simulation results, completing the slag discharge performance analysis of the parameterized cutting head model. The auxiliary module establishes a working condition-performance-scheme template database and filters scheme templates according to actual working conditions, assisting in scheme integration and local fine-tuning, thereby improving design efficiency. This invention achieves fully automated and modular design, significantly reducing manual workload and solving the technical problems of low modeling efficiency, repetitive parameter settings, and cumbersome data processing in existing cutting head designs.

The application relates to a cross-modal generative satellite-ground network semantic communication method with super-high compression rate, which comprises the following steps: S1, establishing a generative cross-modal satellite-ground network semantic communication system; S2, establishing a satellite-ground network semantic communication system model fusing NOMA technology; S3, establishing a dynamic switching algorithm; S4, establishing a double-state satellite-ground link simulation model: considering the influence of the multipath, shadow and Doppler factors existing in satellite-ground communication, dividing the satellite-ground transmission link into two states of good and bad, modeling the channel characteristics by using Rician and Rayleigh distribution, and simulating the Doppler frequency shift through Doppler phase rotation, and completing satellite-ground channel modeling and simulation. In the single-user scene, the original image information is efficiently compressed into a compact text semantic representation through the cross-modal semantic compression module, an end-to-end generative model is adopted to guarantee high semantic consistency and robust reconstruction, the data volume is greatly compressed, and low-delay semantic transmission is achieved, so that the bandwidth burden of the satellite-ground network is effectively reduced.

This application provides a dynamic temperature field modeling and simulation method and system for kitchen appliances, belonging to the technical field of temperature field simulation. This application collects the temperature time series of each detection point of the built-in food simulation sensor, the power time series of each heating element, and the surface temperature time series of the metal shell. After differentiating the temperature time series and the surface temperature time series, a first temperature rise sequence and a second temperature rise sequence are obtained. Then, the cross-correlation curves of each heat transfer combination are calculated according to different time shifts. The amplitude coefficient, attenuation coefficient, and time delay value of each heat transfer combination are obtained by fitting an exponential decay function with the peak time shift and peak amplitude as independent and dependent variables, respectively. Then, the power time series of the associated heating element is weighted according to the time delay value and superimposed to obtain the synthetic excitation sequence of each detection point. Finally, the predicted temperature sequence of each detection point is calculated by substituting it into the heat balance equation. This can realize the quantitative simulation prediction of the temperature change of each position in the cavity of the kitchen appliance over time.

This invention relates to the field of vehicle model simulation technology, and in particular to a bolt connection simulation analysis method, apparatus, equipment, and storage medium. This invention detects the bolt information and vehicle body panel information of a target bolt, assigns a bolt number to the target bolt, and then determines the target connecting plate corresponding to the target bolt based on the bolt number. Combined with the pre-connection points of the bolts, it achieves structural connection modeling of the vehicle. This reduces manual operation steps and avoids the cumbersome technical problem of manually inputting vehicle bolt data for vehicle simulation analysis in existing technologies, thus improving the efficiency of vehicle modeling and simulation.

This invention relates to the field of intelligent manufacturing, specifically to a multidisciplinary motion control modeling method for large component attitude adjustment and alignment systems. It combines the theories of multiple disciplines and fields involved in large component attitude adjustment and alignment systems with the Modelica technology system for the construction and simulation analysis of motion control models for these systems. This invention eliminates the need for pre-defining the input and output variables of components and the order of equation solving during the modeling process. During system solution, it automatically derives the causal relationships between variables based on mathematical equations. It has a wide range of applications, as this invention, based on the Modelica language, achieves integrated modeling and simulation across multiple disciplines and fields, including mechanics and control, overcoming the limitations of cross-platform modeling and simulation across different disciplines.

This invention belongs to the field of flowmeter technology and discloses a method for optimizing the impeller of a turbine flowmeter. The method includes: S1: collecting data on the physical properties, operating range, and performance indicators of the medium through a system to establish clear design constraint data; S2: integrating streamlined and multi-lead design concepts, and determining the blade structural parameters through mathematical modeling and simulation analysis; S3: ensuring precise matching between the processing process and design objectives through parameter modeling, accuracy threshold setting, process coordination, and data linkage; S4: manufacturing an impeller prototype based on the processing technology, and calibrating the blade size and angle parameters using equipment; S5: verifying linearity and starting flow rate indicators through data acquisition and analysis, and iteratively optimizing design and processing parameters; S6: establishing a large-scale batch production process based on the optimized final parameters. This invention solves the problems of large starting flow rate, poor linearity, and insufficient consistency of metering accuracy in turbine flowmeters under low Reynolds number conditions.

The invention discloses a student companion teaching research system based on computer simulation, and relates to modeling, simulation experiments and data analysis of student companion teaching behaviors. The system is composed of a student companion teaching behavior strategy simulation module, a social simulation module and a data collection and analysis module, can simulate various student interactive behaviors, and performs experimental analysis on the influence of emotion, experience, neighbors and other factors on the behaviors. A core experiment framework of the system is formed by five behavior selection strategies (based on emotions, win-win people and input people exchange, the highest accumulated reward, most of historical behaviors of opponents and most of neighbors) and three network structures (full connection, grids and small world networks), the complex dynamic state of student companion teaching can be efficiently simulated, and factors influencing the interactive behaviors of the students are revealed. The system adopts an agent modeling technology, and each student is regarded as an independent agent and can autonomously select behaviors and update emotional states in interaction. Experimental results show that a behavior selection strategy and a network structure have significant influence on student interaction behaviors, for example, an emotion-based strategy can better encourage companion teaching in a full-connection network, and existence of a fixed behavior agent also affects a behavior mode of a whole group. The invention provides an efficient and flexible research platform for exploring the relationship between the student companion teaching behaviors and various factors, and provides a reference basis for the school to optimize the companion teaching environment.

A segmented modeling and simulation method for quantum well semiconductor optical amplifiers based on spatiotemporally staggered half-step partitioning is proposed. The method includes extracting and preprocessing parameter data of the quantum well semiconductor optical amplifier device and the quantum well electro-optic gain material; and performing stepwise segmentation of the optical amplification direction of the active region of the quantum well semiconductor optical amplifier using spatiotemporally staggered half-step partitioning. This method constructs a high-speed and efficient simulation design through novel spatiotemporally staggered half-step partitioning modeling and calculation, which can improve the efficiency of large-signal time-domain simulation calculation of devices such as quantum well semiconductor optical amplifiers and quantum well semiconductor lasers and reduce the time consumption of optimization design.