194 results about "Co-simulation" patented technology

The invention relates to the technical field of special equipment intelligent monitoring and maintenance, in particular to a special equipment monitoring and maintenance method and system based on multi-dimensional data fusion, and the method comprises the steps: collecting and processing multi-source heterogeneous sensor data; constructing a dynamic digital twinborn model based on sensor data and a cross-domain term mapping rule; associating the sensor data with the digital twinborn model to establish a lightweight analysis model, performing health state simulation analysis on the edge equipment, and generating an analysis result; the data quality of the edge device is monitored through the analysis model, when the data quality is lower than a threshold value, a co-simulation process is started, a simulation analysis task is transferred to the cloud digital twin platform, and the edge device continues to conduct simulation analysis based on the analysis model; and constructing a simulation design decision rule base, and generating a maintenance suggestion. Through the multi-dimensional data fusion and edge cloud co-simulation architecture, the accuracy, real-time performance and reliability of monitoring and maintenance of the special equipment are improved.

The invention relates to the technical field of hot working control, and discloses a hot working management and control method, system and device based on digital twinning and a storage medium. The method comprises the steps of obtaining technological parameters and quality data of smelting, casting, forging and pressing and heat treatment procedures through a multi-sensor fusion internet-of-things data acquisition system, constructing a hot working full-process data set and a multi-dimensional technological data platform, achieving parameter mapping and grid conversion through a self-adaptive interface algorithm, establishing a collaborative simulation platform, and obtaining a multi-dimensional technological data platform. And constructing a digital twinborn model and deploying the digital twinborn model to an edge computing gateway to generate a visual management and control system. And calculating a process parameter combination and a resource priority allocation scheme. According to the invention, on the basis of obtaining a large amount of process data in real time, cross-process collaborative optimization and intelligent decision can be realized, especially under the conditions of multi-physics field coupling and complex time-varying characteristics, how to effectively monitor and adjust process parameters in real time and ensure the optimization of product quality and production efficiency.

The invention relates to the technical field of manufacturing process control, and discloses a multi-dimensional process data co-simulation control method and system and a storage medium. The method comprises the following steps: firstly, collecting a multi-dimensional process parameter set of a plurality of process equipment in a manufacturing production line, carrying out cross-dimensional feature extraction, and generating a comprehensive feature matrix containing a time sequence feature, a spatial distribution feature and an energy consumption feature; according to feature relevance of different dimensions in the comprehensive feature matrix, a process parameter dynamic coupling model is constructed, co-simulation is carried out on interaction between process equipment, and a process state evolution sequence is output; extracting abnormal fluctuation characteristics in the sequence, and generating a process parameter adjustment instruction set; and finally, according to the adjustment instruction set and real-time process feedback data, dynamically correcting model simulation parameters, generating an optimized process control strategy, and executing the optimized process control strategy. According to the method, collaborative analysis and dynamic control of multi-dimensional process parameters are realized, and the accuracy and adaptability of process control are improved.

The invention discloses a logistics transfer field digital twin distributed data storage and calculation platform, which comprises a distributed data storage module, a distributed data storage module, a distributed data storage module, a distributed data storage module and a distributed data storage module, real-time preprocessing and short-time caching are carried out, and long-term persistence is realized; the real-time calculation module is used for constructing a parallel calculation framework to process batch and streaming data; designing a global state updating model; the co-simulation module is used for constructing a high-precision digital twinborn model of a physical transfer field; and the cloud generates a scheduling decision and a correction amount according to a global simulation result, the scheduling decision and the correction amount are fed back to the edge node through secure communication, and the edge immediately responds and adjusts local data processing and equipment regulation and control parameters, so that closed-loop consistency of a real scene and a digital twin model is realized. According to the invention, a logistics sorting digital twin system scheduling architecture based on distributed data storage, edge-cloud collaboration, real-time calculation and collaborative simulation support is constructed.

The invention discloses a distribution-micro collaborative operation simulation optimization method, which belongs to the technical field of simulation optimization, and comprises the steps of preprocessing grid-connected point voltage data, tie line power data and communication time delay data, constructing a power distribution network power flow physical network following a Kirchhoff's law, outputting a source load power prediction curve by using a long short-term memory network algorithm, and calculating the distribution-micro collaborative operation according to the source load power prediction curve. And a distribution-micro collaborative simulation optimization model is obtained based on residual error rolling correction tie line impedance parameters, a delay penalty term is set in a target function in combination with the preprocessed communication delay data, a power regulation instruction is obtained by using a particle swarm optimization algorithm, and a dynamic simulation video stream is generated. According to the invention, through rolling correction of the tie line impedance parameters and setting of the delay penalty term positively correlated with the time delay, the problem of control failure caused by physical deviation caused by model parameter solidification and communication time delay accumulation is solved, and the defects of voltage deviation calculation distortion and inaccurate network loss evaluation are eliminated. And the simulation precision and the operation stability of distribution-micro cooperation are improved.

The invention discloses an integrated coupling calculation method and system for a floating type wind wave combined power generation device based on Modelica-AeroDyn-MoorDyn, and relates to the technical field of offshore wind power generation, and the method comprises the steps: constructing a floating type fan model and a wave energy floater model which are highly matched with the actual operation of the floating type wind wave combined power generation device through Modelica; the aerodynamic load can be accurately loaded to the floating fan in an omnibearing mode, meanwhile, the attachment mode between the wave energy floater and the floating fan is established, the freedom degree of the floater can be freely released, enough precision is provided for reliability and stability evaluation of mooring based on the concentrated mass method by combining MoorDyn, and based on collaborative simulation of Modelica-AeroDyn-MoorDyn, the reliability and stability of the floating fan can be evaluated. The simulation result of the multi-floating-body coupling response obtained on the whole can truly reflect the operation state of the floating type wind and wave combined power generation device, and the coupling reliability is improved.

The invention discloses an industrial control safety target range construction method and system based on a digital twinborn technology. The method comprises the following steps: constructing a digital twinborn simulation environment for an actual industrial scene, wherein the digital twinborn simulation environment comprises physical system modeling, communication network modeling and co-simulation modeling; defining an interactive interface between the simulation environment and an external tool, including selecting a communication mode according to a data exchange demand, defining a logic communication channel based on the selected communication mode and standardizing a data exchange format; converting an attack instruction initiated by an external tool into a simulation operation instruction in the simulation environment through the interactive interface, and feeding back a physical state change caused by the simulation operation instruction to the external tool; and an automatic target range resetting mechanism is established, and the state of the simulation environment is backed up and recovered through a snapshot mechanism. According to the invention, the management efficiency of the industrial control safety target range is improved, and the test reliability is improved.

The invention discloses a dynamic simulation modeling method for a compressed air energy storage system based on AMESIM and application, and belongs to the technical field of compressed air energy storage.The method comprises the steps that firstly, system indexes are determined, based on the system indexes, a system technological process diagram is designed, main equipment and auxiliary equipment are selected, and design point parameters of the main equipment and the auxiliary equipment in the energy storage and release stage are determined; then, according to the equipment model selection result, sub-models of all elements in the air circulation loop and the heat storage and exchange loop are selected in the AMESIM; thirdly, calibrating and verifying each main equipment sub-model by utilizing main equipment characteristics and model selection parameters, and building a steady-state simulation model of the compressed air energy storage system; and then, constructing a dynamic simulation model based on the steady-state model, and carrying out dynamic simulation verification and evaluation. According to the method, the co-simulation model integrating thermodynamics, fluid mechanics, control theory and mechanical dynamics can be quickly built, and the method has the advantages of being high in model modeling precision, high in multidisciplinary coupling calculation capacity, high in simulation efficiency and the like.

The invention discloses an intelligent security control system and method based on a simulation environment. The intelligent security control system comprises a random generation module, a virtual sensing model, a co-simulation module, an actual monitoring module, a parameter comparison module and an optimization module. The random generation module constructs a simulation environment and generates change parameters, the virtual sensing module outputs simulation sensing data through modeling, and the co-simulation module constructs intrusion, defense and regulation and control agents based on a multi-agent reinforcement learning framework to realize simulation and defense optimization of various intrusion behaviors and strain strategies. The actual monitoring module obtains real environment data, the parameter comparison module analyzes the deviation between simulation and real data, and the optimization module dynamically adjusts the intelligent agent model based on learning parameters, thereby improving the self-adaptability and response capability of the security and protection system. According to the method, the security and protection strategy can be dynamically optimized, and the accuracy of intrusion detection and the effectiveness of defense measures are improved.

The invention provides a gallium nitride device-oriented three-dimensional electromagnetic-thermal co-simulation method, which relates to the technical field of gallium nitride devices, and comprises the steps of generating a training sample set by collecting device parameters, obtaining electromagnetic field and temperature field feature vectors to establish a control equation set, carrying out grid division by adopting a self-adaptive hierarchical subdivision method, and obtaining a three-dimensional electromagnetic-thermal co-simulation result. Grid density distribution is determined based on the temperature gradient and the material interface characteristics, and a multi-level grid structure is generated; solving the electromagnetic field equation to obtain loss power density, and establishing a temperature field heat source item to calculate temperature distribution; and judging the thermal stability state according to the temperature change rate, updating the material parameters and optimizing the grid structure. According to the method, high-precision simulation of electromagnetic-thermal coupling analysis is realized, and the calculation efficiency is improved.

The invention discloses a distributed simulation platform elastic scheduling method and system based on cloud computing, and relates to the technical field of computer systems. According to the distributed simulation platform elastic scheduling method and system based on cloud computing, a cross-domain dynamic dependency processing module, a real-time task top-speed scheduling module, a mixed cloud resource adaptation module and an elastic scheduling core engine are included; and the cross-domain dynamic dependency processing module is used for realizing dynamic processing of a dependency relationship in multi-domain collaborative simulation, cross-domain collaborative allocation of resources and breakpoint self-healing of a task chain. According to the distributed simulation platform elastic scheduling method and system based on cloud computing, dynamic analysis of a multi-domain dependency relationship, cross-domain collaborative allocation of resources and breakpoint self-healing of a task chain are achieved through the cross-domain dynamic dependency processing module, the problem that a cross-domain dependency processing mechanism is rigid in the prior art is solved, and the distributed simulation platform elastic scheduling method and system based on cloud computing are high in practicability. The cross-domain data synchronization delay is reduced, and the resource utilization rate and the stability of the task chain are improved.

The invention relates to the technical field of power distribution terminals, and discloses a power distribution terminal automatic joint debugging function integrity and reliability test system, which comprises a co-simulation module for performing closed-loop coupling on a virtual power grid and a tested terminal through deterministic time control and generating a reproducible working condition; the scene arrangement module is used for realizing automatic switching and rollback of cross-domain scenes based on transactional snapshots; and the communication module is used for executing a consistency test on multiple protocols and injecting delay jitter, packet loss and clock drift. The functional integrity and reliability test system for the automatic joint debugging of the power distribution terminal aims to solve the problems of lack of deterministic time control of cross-domain cooperation and insufficient guarantee of state consistency in a digital twin test method. The problems that a test result cannot be reproduced, crosstalk misjudgment is caused by state non-atomicity consistency during multi-scene switching, and faults are difficult to reproduce due to lack of time determinacy replay capability are solved.

The invention relates to the cross technical field of computer-aided engineering and audio equipment design, discloses a circuit design simulation-based disc player design optimization method and system, and aims to solve the problem that the existing disc player design depends on physical prototype trial-manufacture and subjective listening evaluation and lacks multi-physical domain co-simulation capability. The method comprises the following steps: constructing a unified multi-physical domain model comprising a mechanical transducer, an electromechanical transducer and an electronic circuit sub-model; bidirectional coupling co-simulation based on the time sequence is executed, and an output electric signal is generated; extracting objective audio performance indexes such as total harmonic distortion and signal-to-noise ratio; and carrying out multi-objective optimization on the key design parameters by utilizing a genetic algorithm, and outputting a Pareto optimal scheme. The system comprises a model construction module, a co-simulation module, a performance index extraction module and an optimization module. Through high-fidelity full-link simulation and automatic optimization, the design efficiency and the audio fidelity are remarkably improved, and the research and development cost is reduced.

The invention relates to a unified PDK interface specification-based conversion method, and relates to the technical field of electronic design automation, and the method comprises the following steps: obtaining commercial PDK data; performing semantic analysis and structure reconstruction on the model file based on a machine learning transfer learning algorithm to generate a standardized intermediate model; according to a unified PDK interface specification, converting the intermediate model into target PDK data conforming to an independent research and development simulation platform format; and automatically importing the target PDK data to the simulation platform through the templated script, and verifying the integrity and consistency of the target PDK data. The method can be applied to a core particle system design process, unified access and co-simulation of the commercial PDK and the open-source PDK are realized, and the design efficiency of an integrated circuit is improved.

The invention relates to a transformer substation unmanned aerial vehicle mounting automatic load changing cooperative control method and system, and the method comprises the steps: building a transformer substation three-dimensional space environment model, and fusing the electromagnetic interference field intensity distribution characteristics and the meteorological disturbance characteristics through the three-dimensional space environment model; constructing a mounting device dynamic behavior model of the unmanned aerial vehicle, wherein the mounting device dynamic behavior model comprises a mounting device constraint parameter set of mechanical arm joint motion constraints and mounting object deformation compensation coefficients; calling the three-dimensional space environment model and the mounting device dynamic behavior model to implement co-simulation verification based on a load switching path planning instruction of the unmanned aerial vehicle; and when a path conflict feature or a load instability feature is detected in the co-simulation verification process, it is determined that co-simulation verification is not passed, and the mounting device constraint parameter set is reconfigured and updated, so that co-simulation verification is passed. The method can adapt to the complex environment of the transformer substation, guarantees smooth mounting and changing operation of the unmanned aerial vehicle, and is suitable for the operation and maintenance scene of the transformer substation.

The invention discloses an interface method for a VSC direct current system mixed granularity model and an alternating current system electromechanical transient model. The method comprises the steps that a mixed granularity simulation framework is constructed, wherein an electromechanical transient phasor model is adopted on the alternating current side, and a simplified electromagnetic transient instantaneous value model considering electromagnetic characteristics is adopted on the direct current side; the VSC converter adopts a unified equivalent model, and various types of converters are adapted through parameter configuration; a low-voltage side bus of the converter transformer is arranged at the interface position of the simulation framework and the alternating current system; simulation and interaction rules are configured, wherein the simulation step length of each direct-current power grid is independently set; the alternating current system provides port voltage and alternating current control information for the simulation framework, the simulation framework is equivalent to the alternating current system as a power source, and power exchange is realized through the converter station; in one time step calculation of the electromechanical transient state, the simulation framework changes along with the alternating current side information, a historical simulation state is taken back, and direct current side simulation in the alternating current time step is carried out again until the power interaction deviation converges.

The present application relates to the field of hot processing control technology, and discloses a hot processing management and control method, system, device and storage medium based on digital twin. The method includes: obtaining process parameters and quality data of smelting, casting, forging and heat treatment processes through a multi-sensor fusion Internet of Things data acquisition system, constructing a full-process dataset of hot processing and building a multi-dimensional process data middle platform, realizing parameter mapping and grid conversion through an adaptive interface algorithm, establishing a collaborative simulation platform, constructing a digital twin model and deploying it to an edge computing gateway, and generating a visual management and control system. Calculating process parameter combinations and resource priority allocation schemes. The present application can, on the basis of real-time obtaining a large amount of process data, realize cross-process collaborative optimization and intelligent decision-making, especially under the conditions of multi-physical field coupling and complex time-varying characteristics, how to effectively monitor and adjust process parameters in real time to ensure the optimization of product quality and production efficiency.

The invention discloses a multi-fidelity co-simulation management method and system for a pneumatic transportation pipe network system, and belongs to the technical field of computer simulation. The method comprises the steps of topology analysis and feature extraction, and analysis of a topology structure; simulation dynamic allocation: dynamically allocating a simulation model for each pipe section based on a preset strategy rule base; the simulation tasks are packaged and dispatched, and the continuous pipe sections distributed with the same simulation models are distributed; performing data coupling and consistency verification, and taking a calculation result of the upstream pipe section as an input boundary condition of calculation of the downstream pipe section; global results are synthesized, and results of all parallel computing tasks are automatically collected. According to the method, a one-dimensional theoretical model or a differentiated three-dimensional CFD model is accurately matched for different flow regime areas (a straight pipe flow field development area, a bent pipe separation area and the like) based on pipe section topological characteristics through dynamic model adaptation, the efficiency of a non-key section is guaranteed through the one-dimensional model, the flow regime of a key section is restored through a high-precision turbulence model, and cooperation of precision and efficiency is achieved.

The invention belongs to the technical field of underwater vehicle motion control, and particularly discloses an underwater vehicle flow field and time-varying motion model predictive control co-simulation method, which comprises the following steps of: determining initial parameters of an AUV (Autonomous Underwater Vehicle) kinetic model; on the basis of the initial parameters of the AUV kinetic model and the AUV navigation state information, continuously iterating the pose of the AUV until the pose deviation is within a preset range; the iteration comprises the following steps: carrying out online rolling identification on time-varying parameters of the AUV kinetic model, determining optimal parameters, and transmitting the optimal parameters to an MPC algorithm to update model parameters; through an ALOS guidance algorithm and an MPC algorithm, the rudder angle needed at the current moment is determined; determining a flow field force and a flow field moment through an N-S equation, and updating the current pose of the AUV through a CFD multi-degree-of-freedom motion equation; and judging whether the pose deviation is within a preset range or not. According to the invention, the accuracy and confidence of motion control simulation can be improved in a dynamically changing marine environment.

According to the power grid regulation and control and relay protection semi-physical collaborative simulation training method and system, through power grid-substation joint simulation and integrated fault driving, full-link fault simulation and response from the power grid level to the device level are achieved, and collaborative training of scheduling and operation and maintenance personnel is supported; multi-mode relay protection practical training equipment is constructed, a real device, a simulation device, three-dimensional digital protection and regulation alarm signal simulation are fused, functions of device practical operation, logic unvarnished transmission, abnormal injection, operation tracing and the like are supported through different training carriers, and different levels of training requirements are met; a dynamic power flow long-period time sequence simulation module is introduced, dynamic following of power grid loads and power generation plans is achieved, the development and recovery process of faults in a real power grid environment is simulated, the authenticity, the collaboration and the systematicness of power grid fault training are remarkably improved, and the training efficiency is improved. And a key technical support is provided for the cultivation of cross-professional co-processing capability under the background of a novel power system.

The invention relates to the technical field of traffic infrastructure operation and maintenance, in particular to a bridge dynamic load intelligent operation and maintenance system based on digital twinning, which comprises a digital twinning modeling module, a dynamic load monitoring module, a data processing and simulation analysis module, a health state evaluation and early warning module and an operation and maintenance decision support module. According to the invention, through multi-source heterogeneous data standardization processing, cross-scale co-simulation fused by a high-fidelity finite element and a reduced-order proxy model, and model dynamic calibration driven by measured data, high-precision and high-efficiency core analysis support is provided for the system; and on the basis of load history inversion, probability fatigue life prediction of a high-speed agent model and failure probability calculation and graded early warning under logarithmic normal distribution, the accuracy of structural performance analysis and the perspectiveness of risk pre-judgment under the dynamic load of the bridge are greatly improved, and a scientific and reliable core basis is provided for subsequent operation and maintenance decisions.

The invention relates to the technical field of data simulation analysis, in particular to a simulation data driving-based loader load process prediction method. The method comprises the following steps that a loading lifting capacity optimization mechanical relation model is established based on structure parameters of the skid steer loader; establishing a multi-domain loader oil way-dynamics simulation coupling model; and carrying out loading machine lifting mechanical collaborative optimization processing on the multi-domain loading machine oil way-dynamics simulation coupling model through the loading lifting capacity optimization mechanical relation model so as to obtain a loading machine working condition multi-domain collaborative simulation model. Transmitting the loading machine working condition multi-source load data to a loading machine working condition multi-domain collaborative simulation model to analyze loading machine multi-domain collaborative simulation load process characteristic data; and based on the loader multi-domain collaborative simulation load history characteristic data, establishing a loader multi-domain collaborative precision optimization load history prediction mapping relationship, and generating an optimized loader multi-domain collaborative load history prediction model. According to the invention, accurate prediction of the loading process of the loader is realized.

The invention discloses a three-stranded-wire electromagnetic pulse coupling response modeling and simulation analysis method, and relates to the technical field of transmission line simulation in an electromagnetic environment, and the method comprises the steps: building a three-stranded-wire-based parameter and a corresponding three-stranded-wire three-dimensional structure model; obtaining three-stranded wire attribute parameters and an application scene to construct a cable library model; determining a use scene, an erection condition and a position coordinate of the three-stranded wire; forming a stranded wire laying path according to the position coordinates of the three stranded wires and the erection conditions; obtaining electromagnetic environment related parameters required by simulation; setting model ground attributes and boundary conditions according to the environmental parameters; setting an excitation source input form, a pulse propagation direction and an electric field direction in electromagnetic simulation software according to the electromagnetic pulse parameters; completing three-dimensional modeling of the three-stranded wire according to the parameters; designing an equivalent circuit according to the twisted wire model schematic diagram, and arranging terminal pin positions; setting an equivalent circuit grounding mode and a load; three-dimensional model grid division is completed, and grid calculation solving requirements are met; a transient simulation task is established, a simulation frequency range is determined, and a solving mode is field-circuit co-simulation; simulation parameters are set, a stranded wire coupling simulation result is obtained by changing parameter variables in the joint simulation model and detecting electric signals at the load end of the model, and the parameter change influence condition is analyzed according to the coupling change rule.

The invention relates to an urban water supply system simulation model construction method and device, equipment and a medium. The method comprises the following steps: constructing a water supply system structure model comprising a water supply node model and a topological relation model, establishing an operation rule model, and constructing a hydraulic balance model; on the basis of multi-model co-simulation, quantitatively evaluating the water production capacity, the water storage capacity and the water production dynamic balance capacity of the water supply system, and constructing a capacity model; on the basis of the capability model, constructing a double-layer failure simulation system of association failure and cascade failure of the water supply system to perform whole-process simulation prediction of the water supply system from single-point failure to regional collapse; and based on a failure simulation result output by the double-layer failure simulation system, constructing a three-stage closed-loop recovery simulation system of a recovery strategy, a recovery degree and recovery time of the water supply system to carry out a whole-process optimization decision of the water supply system from emergency response to complete recovery. According to the method, the emergency response capability of the water supply system is improved through full-process simulation.

The invention provides an efficient parameterization co-simulation method which comprises the following steps: S1, parameterization design: in circuit design software, performing parameterization design on a target circuit, and defining adjustable parameters in the target circuit; s2, data transmission interaction design: defining a data transmission channel and a data transmission format between the circuit design software and the graphical programming software, and then writing a test program in the graphical programming software according to the requirement of the data transmission format; and S3, co-simulation is carried out. According to the method, rapid iteration design can be achieved, potential problems can be rapidly found and solved through an automatic testing process, time and energy of designers are saved, product marketing time is shortened, design accuracy and reliability are improved, production cost is further reduced, product competitiveness is improved, and remarkable economic benefits are brought to enterprises.

The invention discloses a three-branch reconfigurable space robot visual interactive simulation method based on ROS2-Gazeboo-QT, and relates to the technical field of space robot simulation modeling. Acquiring a three-dimensional model comprising the three-branch reconfigurable space robot and a space environment; generating a parameterized model file from the three-dimensional model, and importing the parameterized model file into an ROS2-Gazebo simulation environment; a ros2-control framework is configured to be in communication connection with the simulation model system, and interaction between the robot and the environment is achieved; compiling an inverse kinematics algorithm interface; designing a camera module and an identification target; establishing a dynamic model of various working states; constructing a distributed virtual environment framework; and designing a visual interaction platform. By establishing a three-branch reconfigurable space robot model and controlling a collaborative simulation task in a virtual environment, data information related to kinematics and dynamics can be read in real time, and a reference is provided for a real on-orbit task.

The embodiment of the invention provides a nuclear facility decommissioning project three-dimensional waste cutting and boxing collaborative simulation method and system. The method comprises the steps of obtaining three-dimensional model data, waste storage container data and cutting constraint data of a target nuclear facility; performing format conversion on the three-dimensional model data and the waste storage container data to generate target three-dimensional data and target container data; based on a preset optimization engine, the target three-dimensional data, the target container data and the cutting constraint data, cutting and boxing co-simulation is carried out, and a simulation scheme is generated; optimizing the simulation scheme based on preset optimization parameters, and generating a Pareto frontier solution set; in response to selection of a user in the Pareto frontier solution set, determining a final selection result; and generating a cutting and boxing simulation project report based on the final selection result. In this way, the waste can be flexibly and efficiently treated.

The present invention relates to the field of satellite communication channel compatibility analysis and simulation, and specifically to a satellite communication channel compatibility analysis and simulation system. The solution includes a simulation software subsystem and a semi-physical simulation subsystem. The present invention uses the simulation software subsystem to construct the application scenario of the satellite and complete functions such as constellation construction and orbit calculation; uses the semi-physical subsystem to complete link-level signal simulation, generate and receive analysis baseband signals, simulate the entire signal generation, signal transmission and signal reception process in the actual satellite link, and realize the simulation of the constellation system from the scenario level to the signal level. At the same time, the present invention enables the semi-physical simulation subsystem and the simulation software subsystem to work together through collaborative simulation. The collaborative simulation is mainly when the channel quality is very good or very poor. The semi-physical simulation subsystem skips the simulation process at the current moment and directly enters the simulation at the next moment, which greatly improves the simulation calculation efficiency. The present invention is suitable for satellite communication channel compatibility analysis and simulation.

The invention discloses a molded case circuit breaker on-off process dynamic simulation method based on a heterogeneous simulation system, and relates to the technical field of low-voltage electric appliance design and simulation. Loop current calculated by the first simulation subsystem is transmitted to the second simulation subsystem in real time and used for calculating electromagnetic force for driving a mechanism to move, and contact displacement generated by mechanism movement is immediately fed back to the first subsystem and used for dynamically updating resistance characteristics of an arc model, so that calculation of arc voltage is affected, and the simulation effect is achieved. The arc voltage is directly fed back to the circuit model to determine the current value at the next moment, so that a simulation chain for complete dynamic interaction of the circuit current, the electromagnetic force, the mechanical displacement, the arc resistance, the arc voltage and the circuit current is formed; therefore, the simulation model can reflect the dynamic evolution process of each physical quantity in the real on-off process in a self-consistent manner.

The application relates to the field of photonic device modeling, and discloses a parameterized optoelectronic joint simulation platform construction method for optoelectronic chip design, which is characterized in that, in an electronic design automation platform, a unified model framework of a photonic device is constructed based on a hardware description language, and conversion between frequency domain response and time domain response is realized in the model, including the following steps: a general VerilogA model framework is constructed based on the frequency domain response of the photonic device; a frequency-time domain numerical conversion mechanism is realized in the model; and for the photonic device with dispersion characteristics, a parameterized time domain model is constructed based on a finite impulse response. The application can directly embed the photonic device model into an electronic circuit simulation environment, co-simulate the electronic device, support time-frequency domain analysis of the cascade structure and the loop structure, thereby avoiding the complicated steps of separate simulation by relying on external simulation tools in the process of optoelectronic chip design, and further improving the design efficiency and iteration speed of the chip.