459 results about "Virtual test" patented technology

The invention discloses an interaction test method for gait simulation of a humanoid robot, which is applied to a test platform. Comprising the following steps: controlling a current gait simulation model corresponding to a virtual robot to perform a gait simulation test in a virtual test environment in a current preset time period; the virtual test data is sent to the physical robot; controlling the physical robot to execute corresponding gait operation according to the virtual test data in the actual test environment, and sending the actual test data to the virtual robot; updating the current gait simulation model based on the virtual test data and the real test data; and continuing to perform the gait simulation test based on the updated gait simulation model, and ending the updating operation until the gait simulation test is ended, so as to generate a complete gait scheme. Therefore, by constructing a closed-loop interaction mechanism between the virtual robot and the physical robot, dynamic adjustment of the gait simulation model is achieved, the gait of the physical robot is restored, and the stability and precision of the gait of the physical robot are improved.

The invention belongs to the technical field of aircraft design, and discloses an airfoil structure virtual test loading analysis method based on digital simulation, which comprises the following steps of: firstly, carrying out detail finite element modeling according to an airfoil structure digital model, the attribute of the connecting piece is calculated and assigned according to the simplification principle of a bush unit, and the center coordinate of a loading point is determined according to the position of an adhesive tape or a pull-press block in the test partial load scheme; simulation analysis is carried out after loading is completed, loading is carried out according to the initial load direction, the load is discretized to a single loading point, then the single loading point is recorded, coordinates of a center node of the loading point and coordinates of an actuator connecting point after deformation are obtained, then the direction of a loading vector is obtained, all loading points of the simulation model are loaded, and a simulation result is obtained. After analysis is carried out, linear / nonlinear static force, buckling and post-buckling calculation is carried out; analyzing a stress-strain identification test risk position according to a calculation result, and pasting a strain gauge. The method can guide the design of a loading scheme in an airfoil structure test, improves the calculation precision, recognizes the test risk, avoids the loss of a test piece, and reduces the test cost.

The invention discloses a good product production real-time monitoring system of vehicle gauge equipment, which belongs to the technical field of quality control and comprises a sensing module, an enhanced test module and a decision module. The sensing module is used for acquiring physical parameters and performance test physical data of a vehicle gauge product in a production process in real time, constructing a batch deviation matrix, calculating a quality deviation degree, generating an edge identification table and screening key control parameters influencing physical performance; the strengthening test module is used for carrying out virtual test on a target edge part, utilizing a parameter coupling matrix, generating an equipment control scheme, dynamically adjusting parameters and comparing virtual and real curves to calibrate a twinborn body so as to optimize the digital twinborn body, and issuing the parameters again; and the decision module is used for constructing a tracing file of the target edge component, defining decision parameters, determining a matrix through multiple dimensions, calculating a comprehensive decision score, and executing differentiated decisions according to scenes so as to generate an equipment control instruction and accurately identify the edge component of which the performance is close to a qualified threshold value.

The invention relates to the technical field of steel bridge deck system disease detection, in particular to a steel bridge deck system disease detection method and system and a construction method of the steel bridge deck system disease detection method and system. Attributes of a steel bridge deck system entity are mapped into a digital twinborn model of a virtual space by using a digital means, so that steel bridge deck system disease data are analyzed more comprehensively; the virtual service state analysis of the current steel bridge deck system entity and the prediction of the formation and development degree of the steel bridge deck system diseases are realized through the Internet of Things technology and big data processing. In the process of predicting the formation and development degrees of steel bridge deck system diseases, steel bridge deck system entity monitoring data are updated in a digital twinborn model and a steel bridge deck system twinborn database in real time by using the Internet of Things technology, so that accurate establishment of the digital twinborn model and accurate mapping of total data are realized; meanwhile, the virtual test model accurately simulates the service state of the steel bridge deck system, and it is ensured that the steel bridge deck system disease development model has credibility and reference in predicting the formation and development degree of the steel bridge deck system diseases.

The invention relates to the technical field of wind power, in particular to a dynamic response test method for a wind power variable pitch system. Comprising the steps of building a high-fidelity digital twinborn model, performing virtual testing and case optimization, performing physical self-adaptive testing execution, performing real-time analysis and decision-making driven by machine learning, dynamically adjusting testing stress, performing data feedback and model calibration and generating a comprehensive health report. Compared with the prior art which mainly depends on a fixed physical test process and artificial experience judgment and has the defects of low test efficiency, large resource consumption and difficulty in comprehensively covering extreme working conditions, the method innovatively introduces a high-fidelity digital twinning technology and a virtual test optimization process; according to the method, massive tests are executed in the virtual environment in a risk-free manner, and the enhanced test cases are intelligently generated, so that test forward movement and accurate optimization are realized, the pertinence and efficiency of physical tests are remarkably improved, and the test cost and period are greatly reduced.

The invention discloses a software and hardware decoupling analogue simulation test system, belongs to the technical field of vehicle analogue simulation test, and solves the technical problem that a traditional test system often neglects the actual situation in the operation process due to excessive consideration from the theoretical perspective. The system comprises an environment simulation module which is used as an integrated tool and platform for realizing automobile virtual research and development through an analog simulation technology, integrates an automobile driving environment model, a vehicle-mounted environment sensing model and a traffic model, and provides a three-dimensional digital virtual test scene modeling and editing function; the vehicle dynamics simulation module is used for providing vehicle dynamics simulation, scene construction, sensor construction and data interface construction; and the evaluation index and evaluation software module is used for receiving results output by the environment simulation module and the vehicle dynamics simulation module and outputting a report. The invention focuses on simulating the working condition, road condition and scene of a real vehicle to test the designed algorithm model, software and hardware, so as to find and solve problems as soon as possible.

The invention provides an HIL simulation test system of a commercial vehicle domain controller. The system comprises an HIL system software platform, an HIL system simulation model, an HIL system simulation hardware platform and a vehicle body system special simulation assembly which are electrically connected. The HIL system simulation hardware platform is used for providing hardware support and executing the hardware-in-the-loop simulation test; the HIL system software platform is used for controlling a simulation test process, managing a test task and automatically generating an interface model; the HIL system simulation model is used for constructing a virtual test environment of a controller and performing signal interaction with the HIL system simulation hardware platform; the simulation assembly special for the vehicle body system is used for simulating vehicle body control, air conditioner control, gateway and vehicle control functions so as to improve the test coverage degree, and efficient development and iteration of a commercial vehicle domain controller are facilitated.

The invention discloses a digital pre-distortion method, system and device and a storage medium, and relates to the technical field of aerospace communication. The method comprises the following steps: acquiring a first input signal and a first actual output signal of the power amplifier, and acquiring a thermal state characteristic; constructing a three-dimensional dynamic baseline; superposing the detection sequence into the first input signal to obtain a second input signal, obtaining a corresponding second actual output signal, and predicting an ideal output signal of the second input signal; extracting a harmonic component generated after the detection sequence passes through a power amplifier, and determining a distortion early warning moment; recording a third input signal after the distortion early warning moment; constructing a virtual test signal according to the third input signal, and predicting to obtain a reference output signal; and comparing the difference between the distortion output signal and the reference output to obtain a distortion feature vector, constructing a dynamic increment compensation function, and correcting the signal processing flow of the power amplifier based on the dynamic increment compensation function. And the accuracy of digital pre-distortion is improved.

The invention belongs to the technical field of virtual automobile exhibition, and particularly relates to a virtual automobile exhibition system based on digital twinning. The system comprises a digital twinning construction module which generates a lightweight model and supports first-person visual angle dynamic updating; the user behavior analysis module is used for mapping data such as a sight track into a weighted directed graph, and predicting vehicle types and configuration requirements by using a multi-head graph attention network; the personalized configuration selection module is used for generating a configuration scheme in combination with digital twinborn parameters; the virtual test driving module is used for providing immersive experience based on the configuration scheme and the scene; and the background data analysis module integrates the data to generate a user portrait so as to optimize the exhibition content. According to the system, dynamic virtual-real mapping, accurate demand prediction and data-driven intelligent exhibition are realized, and the user interaction depth and the car purchase efficiency are improved.

The invention discloses a real-time motion control algorithm simulation debugging method, which relates to the technical field of real-time simulation crossing, and comprises the following steps of: acquiring real-time track data and multi-scale simulation parameters and preprocessing the real-time track data and the multi-scale simulation parameters; based on the multi-scale simulation parameters, a multi-scale simulation environment is constructed, and multi-physics field coupling control parameters are obtained; performing multi-physical field simulation according to the real-time trajectory data in a multi-scale simulation environment, and obtaining trajectory error data with a safety verification identifier; based on the trajectory error data with the security identifier, filtering out high-frequency components and separating low-frequency contour deformation components by adopting empirical mode decomposition to obtain low-frequency contour deformation features; and based on the optimal parameter adjustment instruction set, updating the multi-physics field coupling control parameters in real time and generating a simulation debugging report. According to the invention, a multi-scale simulation environment is constructed, dynamic configuration and synchronous simulation of multi-physical field coupling control parameters are realized, and a high-fidelity virtual test platform is provided for motion control under complex working conditions.

The invention discloses a frequency conversion vector control method for a digital energy-saving pump station, which belongs to the technical field of vector control and comprises the following steps: constructing a coupling vector model, simulating the running states of a pump unit under different working conditions through a virtual test signal, and automatically correcting the coupling vector model; operating data of a pump set are collected in real time, an operating situation feature set is constructed, predictive vector control is carried out, an optimal voltage vector sequence is generated, and meanwhile load fluctuation of a pipe network is predicted; demand pre-judgment is carried out on the starting and stopping time and the action amplitude of the anti-backflow device, a bidirectional disturbance suppression mechanism is constructed, current vector parameters are pre-adjusted, and calculus correction is carried out based on deviation judgment; when multiple pumps operate in parallel, the instantaneous operation efficiency point of the pump set is calculated in real time, the efficiency change trend is predicted, a load distribution scheme is generated, the comprehensive energy efficiency is evaluated, energy efficiency self-optimization is carried out, the comprehensive energy efficiency of the system is improved, and control experience reuse is achieved.

The invention relates to the technical field of circuit assembly type selection, and particularly discloses an optimized matching circuit assembly rapid type selection method and system, which are applied to a circuit assembly characteristic database, and comprises the following steps: obtaining electrical parameter information corresponding to a plurality of candidate circuit assemblies; a virtual test model is constructed based on the electrical parameter information, virtual circuit operation is carried out based on the virtual test model, virtual operation information is generated, and the virtual operation information comprises a plurality of virtual dynamic operation parameters corresponding to a plurality of preset test time points; and obtaining operation performance information of virtual circuit operation according to the virtual operation information. According to the method, in the evaluation link, the voltage, temperature, power and other parameters are subjected to normalization processing, the multi-dimensional correlation change parameters are generated, the problem that traditional model selection neglects the component performance correlation relation is solved, the comprehensive performance of the component in a complex scene can be accurately evaluated, and a comprehensive basis is provided for model selection.

The invention provides a test method and system of a vehicle AEB system, and belongs to the technical field of vehicle test. The method comprises the steps of generating a virtual test scene; collecting simulation video data in the virtual test scene; setting the scene recognition precision of the virtual vehicle, and simulating the message information of the virtual vehicle in the virtual test scene; simulation data including the simulation video data and the message information are sent to an AEB system of the tested vehicle, and a control signal, namely the braking deceleration, of the virtual vehicle is output; converting the brake deceleration into a brake pedal signal; inputting the brake pedal signal into a dynamical model of the test vehicle, and outputting motion information of the test vehicle; updating message information of the virtual vehicle in the virtual test scene according to the motion information; and comparing the updated message information with the standard message information in the braking state, and outputting a test result of the AEB system. The AEB system test accuracy is improved, the test period is shortened, and the test cost is reduced.

The invention provides an anthropomorphic virtual test scene multi-background vehicle collaborative decision-making method, which comprises the following steps of: constructing a dynamic traffic map of multiple vehicles based on a graph structure, and constructing a parameter-shared generative adversarial imitation learning framework, inputting the node features optimized by the graph attention network to a reinforcement learning network to generate a serialized control instruction, and comparing the generated control instruction with a state-action pair of expert data by using a discriminator sharing scoring parameters to iteratively optimize a control instruction generator; potential factor variables are introduced to represent driving styles, and strategy personification is enhanced in combination with explicit rule punishment and implicit confrontation awards; and a highly anthropomorphic multi-background vehicle sequence cooperative control instruction is generated through multiple rounds of iteration. According to the method and the system, the adversarial imitation learning is iteratively optimized and generated by utilizing potential factor variables and reward enhanced imitation learning, and a decision with diversity, compliance and personification is generated, so that the reliability of an automatic driving simulation test is improved in multiple aspects.

The invention provides a digital whole-satellite-level spaceborne computer software testing system which comprises a virtual testing platform and a ground testing subsystem, the virtual testing platform is used for simulating the running state of a real satellite and space environment dynamic data, and the ground testing subsystem and the virtual testing platform conduct information interaction. And the test module is used for sending a test instruction to the virtual test platform, receiving a telemetry data packet which is fed back by the virtual test platform and contains a simulation result, executing an automatic test based on the telemetry data packet and carrying out test recording and test interpretation. Therefore, a virtuality and reality combined testing environment is established, limitation of a hardware single machine is avoided, software testing efficiency is improved, testing time is shortened, testing quality is improved, human input is reduced, testing risks are avoided, and the problem that software testing is limited by equipment, sites, environments, time and the like in the prior art is solved.

The invention discloses an operation ticket intelligent analysis and sequence control logic closed-loop verification method and system, and belongs to the field of power system automation technology and power transformation operation and maintenance, and the method comprises the steps: obtaining a typical interval sequence control operation ticket and an SCD file; identifying the typical interval sequence control operation order through a BERT-ERNIE multi-head text extraction model, and generating a corresponding test script; querying corresponding object path information in the SCD and completing association; constructing a closed-loop acceptance environment; simulating a local operation scene and initiating sequence control operation according to the associated test script to carry out correctness acceptance; on the basis of a similar interval operation ticket generation tool, carrying out one-key replacement on part of description information of the test script passing acceptance, generating similar interval sequential control operation tickets to be accepted, and carrying out correctness acceptance; and simulating a sequence control master station address in the closed-loop acceptance environment, issuing a sequence control instruction to a sequence control host based on the sequence control operation order passing correctness acceptance, and automatically virtualizing the test environment to perform forward and reverse closed-loop automatic acceptance.

The invention provides an unmanned aerial vehicle route planning operation safety monitoring system and method based on virtual-real fusion, belongs to the technical field of unmanned aerial vehicle safety monitoring, and aims to solve the problems that the test training difficulty of an unmanned aerial vehicle is increased and the experiment cost of the unmanned aerial vehicle is high due to interference and terrain transformation in the task execution process of the unmanned aerial vehicle. The safety monitoring system comprises a ground distributed semi-physical virtual-real fusion simulation platform and an air experiment module. The ground distributed semi-physical virtual-real fusion simulation platform is used for constructing a virtual test scene of task execution of the unmanned aerial vehicle, optimizing a waypoint planning decision according to feedback information in a task execution process, and performing safety judgment and real-time obstacle avoidance on the current waypoint planning decision so as to optimize the waypoint planning decision; and the space-time experiment module is used for monitoring the flight state of the unmanned aerial vehicle and executing the optimized waypoint planning decision.

The invention provides a rock mineral analysis test management method and system, and the method comprises the steps: collecting rock mineral sample multi-modal data, and constructing a digital twinborn model; constructing a geological knowledge map, and injecting and fusing the two knowledge to generate a virtual test data set; performing self-supervision pre-training by using the data set to obtain a self-adaptive mineral phase recognition model; deploying the model to a block chain-Internet of Things double-chain traceability system to obtain an identification result and an optimization instruction; and executing a sample preparation process and removing unqualified samples. According to the method, diffusion steps are adjusted through adaptive noise scheduling and a space-time alignment algorithm, data are integrated, a high-reality-sense virtual test data set is generated, and a self-supervised pre-training and knowledge distillation technology is combined, so that the model has space-time feature extraction and dynamic optimization capabilities; and finally, full-process closed-loop control is realized through a double-chain traceability system and a modular robot, and the recognition precision of a complex scene is improved.

The invention provides a Unity3D-based multi-agent collaborative integrated navigation virtual simulation system and method, belongs to the technical field of integrated navigation, and solves the problems that a traditional integrated navigation experiment method is high in cost and risk and is difficult to simulate various complex actual working conditions, and the simulation system comprises a display layer, a business layer and an underlying service layer; the display layer provides an operation and monitoring platform for a user; the business layer is used for performing control logic, queue management, path planning and artificial intelligence training functions on the agents in the simulation environment; and the underlying service is used for performing agent machine learning model training and project version management. The invention provides a low-cost and high-safety virtual simulation scheme for intelligent agent motion control and collaborative operation efficiency optimization, an improved A * search algorithm and an artificial intelligence training interface are integrated, and an economical and efficient virtual test platform is provided for research and development of an intelligent agent control algorithm.

The invention discloses a virtual accompanying test system for an unmanned surface vehicle, and relates to the field of unmanned surface vehicle testing, and the system comprises an integrated case, and a task scene simulation module, a sensor simulation module, a pose mapping module, a collision avoidance safety evaluation module and a test display control interface which are integrated in the integrated case. The task scene simulation module constructs a three-dimensional virtual test water area scene based on the static geographic information data, and is provided with a dynamic obstacle and a virtual unmanned ship; the sensor simulation module generates simulation data of the detected unmanned ship environment sensing sensor in the scene; the input end of the pose mapping module is connected with a position and attitude measuring unit which is externally arranged on the case and is arranged on the measured unmanned ship through a data bus, receives real-time position and attitude data of the position and attitude measuring unit, and drives the pose of the virtual unmanned ship to change; the collision avoidance safety evaluation module calculates a total safety evaluation score according to interaction data of the virtual unmanned ship and the dynamic obstacle; and the test display control interface is used for man-machine interaction, test process display and result display.

The invention discloses a digital twin city energy management system based on the Internet of Things, which relates to the technical field of intelligent management, comprises a construction module, an analysis module and a management module, constructs a heat supply topological structure, constructs a node flow balance equation and a pressure difference balance equation, obtains a heat supply flow equation set and a theoretical historical load value of a corresponding node, and obtains the theoretical historical load value of the corresponding node; and constructing an urban heat supply digital twinborn model, comparing the theoretical current load value with the corresponding theoretical historical load value, executing a first operation, and sending a solution strategy. Through the digital twin technology, the efficiency and accuracy of energy management are improved, virtual testing and verification are carried out through a digital twin model, operation decisions and control strategies are optimized, through prediction and simulation, energy waste is reduced, the operation cost is reduced, the dynamic adaptive capacity of the system is improved, and through optimization of energy use, the energy management efficiency is improved. And sustainable development and environmental protection targets of cities are supported.

The invention discloses an Internet of Things vehicle test environment design method, which integrates a digital twinning technology and a real scene digital technology, establishes a virtual test field completely matched with an intelligent network connection vehicle entity scene, controls the entity scene adjustment through a digital twinning control platform, and generates a real scene consistent with a virtual world. The method comprises the following steps: fully automatically reasoning an intelligent networked vehicle test environment meeting user requirements according to multi-modal requirements of a user by utilizing a generative AI technology, and controlling an entity scene to complete a test according to the test environment through a digital twin control platform, thereby simulating the complexity and uncertainty of a real world in a full dimension, and improving the test efficiency. And various scene elements can be switched and self-defined in real time, and a complex entity environment can be flexibly arranged.

The embodiment of the invention provides a steer-by-wire test method, device and equipment for vehicle entering and exiting a curve and a medium, and belongs to the technical field of vehicle test. Comprising the steps that a vehicle basic model is obtained, a vehicle test model is built based on the vehicle basic model, and the vehicle test model is a vehicle parameterized model comprising a steer-by-wire system; constructing a test scene, wherein the test scene at least comprises a bend entering scene entering a ramp and a bend exiting scene leaving the ramp; based on the vehicle test model, virtual tests are executed in the bend-in scene and the bend-out scene respectively, the virtual tests are that a driver carries out simulated driving in the test scene, and objective test data and subjective evaluation of the driver are obtained; and determining objective evaluation according to the objective test data, and determining a test result of the steer-by-wire system according to the objective evaluation and the subjective evaluation. The invention aims to improve the testing accuracy of the steer-by-wire system so as to improve the design quality of the steer-by-wire system.

The invention provides an embedded evaluation system based on a rule engine and virtual simulation, which comprises a simulation model module used for simulating behaviors of embedded equipment and a circuit system thereof and providing a virtual test environment to simulate different hardware conditions, input signals and fault conditions; the rule engine module is used for triggering an action or making an intelligent decision according to a preset rule; wherein data in the simulation process are monitored in real time through the rule engine module, and whether a circuit system is in a normal working state or not is judged according to a rule; the user front-end module is used for configuring a simulation model through the user front-end module, defining an evaluation rule, displaying a simulation phenomenon and outputting an evaluation result; before simulation is started, the simulation model module sends all basic rules of the microcontroller and the electronic module involved in simulation to the rule engine module, and a rule base is formed. According to the invention, the problems of high evaluation cost, long period, poor flexibility and the like of an embedded system in the prior art can be solved.

The invention provides a transformer substation quantum key distribution system environment adaptation and safety assessment method, which comprises the steps of performing preprocessing such as filtering, smoothing and abnormal value elimination on acquired original data, and synchronizing all the data to a unified time axis; a decision tree model is constructed, nodes comprise environmental factors such as electromagnetic interference and temperature fluctuation, and the weight of each evaluation index is dynamically adjusted according to real-time environmental data; the method comprises the following steps: simulating various typical environments of a transformer substation in a digital twin environment, generating virtual test data, and performing experimental verification on various indexes of a quantum key distribution system; a multi-level scoring model is adopted to perform weighted scoring on levels such as light source safety, detection safety and decoy state protocol conformity; and calculating the overall security and performance evaluation score of the quantum key distribution system according to the dynamic weight output by the decision tree model in combination with the score of each level.

The invention discloses a fault prediction and simulation method based on digital twinning in a smart factory. The fault prediction and simulation method comprises the following steps: step S1, planning a comprehensive work flow of the smart factory; s2, building a digital twinborn simulation model of the smart factory; s3, training a fault prediction model; and S4, fault prediction analysis and positioning. According to the method, the digital twinborn technology and fault prediction are combined, so that the smart factory can establish the digital twinborn simulation model reflecting the real state of the workshop on the virtual digital level based on the digital twinborn technology; the fault prediction model is used for performing virtual testing on the digital twinborn simulation modeling to predict faults possibly occurring in the working process of the smart factory, so that the working reliability and safety of the smart factory are improved, powerful support is provided for subsequent rapid maintenance of the smart factory, and the training sample of the fault prediction model is increased, so that the fault prediction efficiency is improved. Therefore, the fault prediction capability of the fault prediction model is improved.

The invention discloses a humanoid robot motion control method and device based on an enhanced contrast learning algorithm. The method comprises the following steps: establishing a training environment of a humanoid robot; constructing an initial neural network model and an enhanced contrast learning algorithm framework; determining a domain randomization parameter and a reward function of a training environment; based on the reward function and the domain randomization parameter, training the initial neural network model in a training environment through a reinforced contrast learning algorithm framework to obtain a trained neural network model; establishing a virtual test environment, and deploying the trained neural network model to the virtual test environment for model test optimization to obtain a target neural network model; and deploying the target neural network model into the humanoid robot to perform motion control on the humanoid robot. According to the method, the motion control stability of the humanoid robot is improved, meanwhile, the domain randomization parameters are used for simulating the parameters of the real environment, and the generalization and robustness of the model are improved.

The invention discloses a liquid rocket engine digital test run platform, relates to the technical field of liquid rockets, and aims to solve the problem that a liquid rocket engine digital test run system in the prior art cannot perform multi-dimensional simulation. The liquid rocket engine digital test run platform comprises a one-dimensional simulation module, a three-dimensional simulation module, a one-dimensional and three-dimensional joint simulation module and a virtual test run display module. The one-dimensional simulation module is used for performing one-dimensional simulation on the liquid rocket engine under different working conditions; the three-dimensional simulation module is used for performing three-dimensional simulation on a target part in the liquid rocket engine under different working conditions; the target component at least comprises a thrust chamber and a flow regulator; the one-dimensional and three-dimensional joint simulation module is used for performing one-dimensional and three-dimensional joint simulation on the target component; and the virtual test run display module is used for visually displaying the test run process of the liquid rocket engine. Therefore, the multi-dimensional comprehensive simulation of the digital test run of the liquid rocket engine can be realized.

The invention discloses a ground experiment platform grid-connected performance testing method, device and equipment and a medium, and relates to the field of wind turbine generator grid-connected testing, and the method comprises the steps: constructing a wind turbine generator grid-connected model according to an actual wind turbine generator on a ground experiment platform; controlling a virtual power grid end in the wind turbine generator grid-connected model to generate different power grid voltage fault working conditions and severe power grid working conditions; fault performance virtual testing is carried out on the wind turbine generator grid-connected model under different power grid voltage fault working conditions; the grid-connected adaptability virtual test is performed on the wind turbine generator grid-connected model under different severe power grid working conditions, the grid-connected performance test of the wind turbine generator ground experiment platform can be realized, the cost is low, and the safe and stable operation level of the wind turbine generator grid-connected can be accurately tested.