213 results about "Virtual test" patented technology

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 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 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 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 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 belongs to the technical field of robot testing, and provides an intelligent robot testing method and system based on a virtual environment, electronic equipment and a storage medium. The method comprises the steps of building data acquisition, virtual test environment reconstruction, digital twin robot construction, multi-dimensional test task setting, quantitative evaluation formula system construction, virtual test and quantitative evaluation. According to the method, the three-dimensional reconstruction model is improved, the multi-dimensional point cloud data is utilized for collaborative reconstruction, and the actual remote sensing image is utilized for dynamic adjustment of the reconstruction structure, so that a large amount of manual reconstruction data is not used, the situation that the model reconstruction effect is reduced due to unsupervised reconstruction is avoided, and the test scene reduction degree is greatly improved; the deviation between test and actual operation is reduced; by coupling and binding the digital twin robot and the target robot, the problem that the reliability of the test result is low due to excessive idealized setting is avoided, and the test result better fits the actual working condition.

The invention discloses a driver direct view calculation model and a test method. Comprising the following steps: firstly, acquiring virtual test scene data corresponding to a to-be-tested vehicle; and inputting the virtual test scene data into the trained calculation model. The calculation model comprises a view region segmentation sub-model and a visible volume calculation sub-model, and a visible region and a shielding region in a standard evaluation volume in the virtual test scene data are accurately segmented through the view region segmentation sub-model to obtain a corresponding binary segmentation mask. And extracting spatial distribution characteristics strongly related to the visible volume from the segmented binary mask through a visible volume calculation model, fusing, screening and compressing the extracted spatial distribution characteristics, and finally mapping the spatial distribution characteristics into four types of visible volumes of the near side, the front side, the far side and the total of the tested vehicle. Therefore, a large entity test scene is not needed, and the test efficiency is improved. And when the standard is updated, only a data set needs to be updated and model parameters need to be calculated, and the overall architecture does not need to be redeveloped.

The method is mainly applied to the technical field of vehicle engineering. The invention discloses a virtual calibration method, device and equipment based on a driving simulator and a medium. A virtual test environment is constructed through a vehicle model of a target vehicle, a virtual test scene model and a chassis electric control system model. And executing driving operation and acquiring test data by utilizing human-computer interaction of the driving simulator, and further evaluating the vehicle performance. And when the performance parameters do not reach the preset indexes, optimizing the parameters of the chassis electric control system model according to the manual adjustment instruction until all the parameters reach the standard. And after reaching the standard, further adjusting the parameters by combining the subjective quantitative indexes of the driver, and determining the optimal performance parameters. The scheme is carried out in a virtual environment, so that the risk of real testing is avoided, and the safety is ensured; scenes and parameters can be quickly switched, and the calibration efficiency is improved; various working conditions can be simulated, and comprehensive evaluation is realized; lots of real vehicles and sites are not needed, and the cost is reduced.

The invention relates to the technical field of automobile intelligent driving, in particular to an intelligent network connection automobile digital twinning evaluation method and system for extreme scenes. The evaluation method comprises the following steps: constructing a knowledge graph; generating an extreme scene; the automatic driving system is tested in a virtual environment generated by the digital twin test platform based on an extreme scene; predicting a safety risk score in real time, and if the safety risk score exceeds a safety threshold, sending an intervention instruction to the digital twin test platform; performing anomaly detection on the full-quantity test log, deriving a scene and injecting the scene into a scene library if a performance inflection point is found; and calculating a root cause based on the weight vector, the system fault cause and effect graph and the test data, and generating a diagnosis result. According to the method, extreme scenes can be covered, the system can be scored from multiple dimensions, the performance bottleneck can be accurately positioned, and the closed loop of the test scene can be realized. According to the system, two-way closed loop and common evolution of physical test data and a virtual test environment are realized through a cloud side end architecture, and continuous synchronization and two-way interaction with real world data are realized.

The invention discloses a construction method and device of a bucket load spectrum generation model, equipment and a medium. The method comprises the steps that a physical test bed is controlled to apply multi-dimensional dynamic loads to all stress point positions of the hydraulic excavator, and the hydraulic excavator is controlled to execute simulation operation according to working condition types; instantaneous loads acting on the bucket after the loads are transmitted to all the stress point positions are recorded in real time, and all the instantaneous loads are gathered to form a three-dimensional load spectrum of the bucket; collecting dynamic response data generated by each stress point position, associating the three-dimensional load spectrum with the dynamic response data to form training sample pairs, aggregating the training sample pairs to form a training data set, performing characterization processing, inputting the training data set into an original deep learning model for iterative training, and obtaining a three-dimensional load spectrum; and taking the deep learning model meeting the iteration termination condition as a hydraulic excavator bucket load spectrum generation model. According to the embodiment of the invention, the virtual rack is constructed by a physical test rack of a small number of excavator samples, and a basis is provided for efficiently generating reliable bucket load spectrums for batch excavators.

The invention belongs to the technical field of automobile electronic testing, and particularly relates to an intelligent OTA automatic testing method and system in a multi-dimensional environment, and the method comprises the steps: a testing management platform configures a testing scene and a testing case, schedules a testing task to a cloud server to simulate a real OTA cloud service, and cooperates with a multi-dimensional environment simulation cluster to construct a virtual testing environment; deploying a real vehicle test agent to execute a test case and collect real vehicle data, and utilizing a digital twin synchronization engine to realize bidirectional data synchronization of a simulation environment and a real vehicle environment; collecting heterogeneous data of each key node of the simulation environment and the real vehicle environment in real time, and uploading the collected heterogeneous data to the big data platform for storage; and based on heterogeneous data stored by the big data platform, intelligent analysis is performed by using an intelligent analysis and evaluation engine, and system closed-loop optimization is performed according to an analysis result.

The invention provides a material constitutive parameter inversion method which can be applied to the technical field of artificial intelligence. The material constitutive parameter inversion method comprises the following steps: acquiring an elastic modulus and an actually measured load depth curve of a to-be-tested material in a single nanoindentation test; performing extrapolation translation preprocessing on the actually measured load depth curve to obtain an equivalent ideal curve; carrying out characterization processing on the equivalent ideal curve to extract input characteristic parameters which comprise press-in rigidity, unloading rigidity and plastic work proportion; the indentation rigidity, the unloading rigidity, the plastic work ratio and the elastic modulus are input into a pre-trained indentation constitutive mapping model to predict the yield strength and the strain hardening index of the to-be-tested material, and the indentation constitutive mapping model is a full-connection back-propagation neural network pre-trained through a finite element virtual test sample. The invention further provides a material constitutive parameter inversion system and device, a storage medium and a program product.

The invention relates to a closed-loop virtual test flight pre-evaluation method and a medium, and relates to the field of flight tests. The method comprises the steps of constructing a digital twin module which comprises a pneumatic sub-model, a flight control sub-model, a power sub-model and a structure sub-model, defining a tilt transition specific high-risk subject and generating a test case, executing parallel Monte Carlo simulation and hardware-in-the-loop test, performing flight safety risk identification and envelope boundary quantification, and determining a tilt transition specific high-risk subject according to the tilt transition specific high-risk subject. And generating a risk assessment report and optimizing a real aircraft test flight outline. Wherein the aerodynamic sub-model adopts a dynamic vortex grid correction method based on CFD offline calibration and online query; the flight control sub-model comprises a configurable fault injection module based on a script engine, and the configurable fault injection module is used for defining a coupling fault sequence of sequential logic and a condition triggering relation. Compared with the prior art, the accuracy and the applicability of the pre-evaluation of the virtual test flight are improved.

The invention discloses a UI automatic testing method based on a multi-screen virtual session and related equipment, and relates to the technical field of automatic testing, and the method comprises the following steps: obtaining screen identification information of a plurality of physical screens in a vehicle-mounted terminal system; based on the screen identification information, virtual test sessions are created for each physical screen, and each virtual test session is associated with one physical screen and used for executing UI automatic test operation on the physical screen; determining a target virtual test session from the plurality of virtual test sessions according to a preset test logic; in the process of executing the UI automatic test instruction for the target virtual test session, routing the UI automatic test instruction to the target virtual test session; and controlling the physical screen associated with the target virtual test session to execute the UI automatic test instruction.

The invention provides an engine cylinder cover thermal fatigue virtual test verification method and system, and relates to the technical field of virtual simulation modeling, and the method comprises the steps: obtaining the micro-macro parameter characteristics of an engine cylinder cover; constructing a parameterized model of micro-macro coupling; performing reverse solution on the control parameters of the physical rack based on a target temperature circulation curve set by a user to obtain a boundary condition parameter set required by a virtual test; generating a virtual-real homologous file according to the parameterized model and the boundary condition parameter set; actual measurement temperature data after the physical rack executes the control instruction file and simulation temperature data after the finite element analysis software executes the simulation input file are collected; according to the two-dimensional topological structure of the fire power surface, virtual thermocouple measuring point coordinates are generated; establishing data channel mapping according to the measuring point coordinates of the virtual thermocouple; calculating temperature errors of the plurality of measuring points; when the temperature error exceeds a threshold value, a correction prompt for the measuring point is output; and verifying the parameterized model according to the correction prompt.

The invention discloses a virtual fuel vehicle power assembly mapping method and system. The method comprises the steps that the vehicle speed of an electric vehicle and input signals of an accelerator pedal and a brake pedal are received; performing nonlinear mapping on the accelerator pedal input signal to generate a virtual accelerator opening degree, and performing cooperative control in combination with a brake pedal signal; based on the vehicle speed and the virtual accelerator opening degree, a virtual target gear is determined through a multi-dimensional gear shifting diagram and a self-adaptive gear shifting strategy; the method is characterized in that a dynamic slip frequency factor related to the vehicle speed, the virtual accelerator opening degree and the brake pedal opening degree is introduced in the non-gear-shifting state so as to simulate the slip frequency effect of a torque converter; in the gear shifting state, transient smooth transition of the rotating speed is simulated. According to the method, the nonlinear dynamic behavior of the fuel vehicle can be accurately simulated in real time with low calculation overhead, the authenticity and immersion of simulation are remarkably improved, and powerful support is provided for virtual testing, control system development and man-machine interaction application.

The invention relates to the technical field of vehicle part strength simulation analysis verification, and discloses a strength load processing method and system based on a virtual test field, and the system comprises a model construction module, a data configuration module, a simulation execution module, a load processing core module, and a finite element interface module. The method comprises the following steps: constructing a virtual test field pavement model and a multi-body dynamic model; calling a programming tool to process the file; further converting the sub-working-condition load into a standardized load header file required by finite element strength analysis, and finally driving a finite element solver to execute batch working condition calculation and output stress-strain summarized data of the parts. According to the method, intelligent normalization processing of load data, dynamic coverage of critical working conditions and multi-system seamless integration are achieved, the efficiency and precision of component strength verification are improved, the development period is shortened, and a unified comparability reference is provided for fatigue life evaluation.

The invention relates to a projection unit (110) for projecting a test pattern (140). Using the test pattern (140), the sharpness properties of an optical test object (X) can be tested. The projection unit (110) comprises a diffractive optical element shaped to generate a plurality of virtual test objects (142, 143) as the test pattern (140) in response to different excitation light (125, 135) coupled into the projection unit (110) simultaneously from one or more light sources (120, 130). Different of the test objects (142, 143) are arranged in different focal planes and at different solid angles from the perspective of the test object (X).

This invention discloses a method for dynamic virtual testing and evaluation of power grids based on digital twins: a virtual power grid dynamic simulator is connected in series between the power grid signal sensors and the controller of the system under test; the host computer transmits the dynamic parameters of the power grid to be simulated to the simulator; the simulator modulates the parameters with the actual power grid signal to generate a power grid signal containing virtual disturbances, which is sent to the controller of the system under test to disturb the operation of the system under test; the simulator can also receive control signals from the system under test and generate control signals containing disturbances, which are sent to the controller of the system under test; simultaneously, the control and output responses under disturbance are collected and analyzed to evaluate the system's stability, controllability, or resilience. The dynamic parameters of the power grid are generated by a digital twin model of the actual power grid; the response of the system under test is fed back to the digital twin model, reflecting the interaction with the power grid after connection. This invention integrates digital twins and virtual simulation to achieve safe, efficient, and low-cost testing and evaluation of grid-connected equipment under dynamic and fault conditions of the power grid.

The invention discloses a multi-node cluster lamp controller test platform and an adaptive environment construction method thereof, and the method employs a physical test environment, a virtual test environment and a hybrid test coordination system, and builds a multi-node virtual-real hybrid test environment for the function verification and performance test of a tested cluster lamp controller. Real hardware interaction, physical feedback and environment simulation can be provided by using a physical test environment so as to test the robustness, the electrical performance and the basic functions of the tested cluster lamp controller under the actual hardware interaction, and the virtual test environment can be used for testing the robustness, the electrical performance and the basic functions of the tested cluster lamp controller under the condition that a high-cost physical entity is not needed. Large-scale, complex and variable LED lamp communication network and node behaviors are simulated, so that the function compatibility and the performance limit of a tested controller under large-scale deployment of LED lamp nodes are tested; therefore, actual application scenes can be simulated, and various functions and performance indexes of the cluster lamp controller can be comprehensively covered and tested.

The invention belongs to the technical field of underground structure tests, and provides an underground structure hybrid test system considering stratum loss and a control method.The system comprises a numerical substructure used for determining boundary node displacement on an interaction boundary corresponding to a current analysis step; the virtual test substructure is used for calculating a boundary node force according to the boundary node displacement and the current gravity, obtaining a node force simulation value by combining a similarity coefficient, and further determining a concentrated force for loading; the test substructure is used for acquiring loading force and displacement data through concentrated force; and the parameter inversion module is used for performing inversion on the loading force and the displacement data to obtain material parameters under the current boundary condition so as to update the numerical model and the boundary node force of the test substructure and further determine the target unbalanced force, so that the interaction boundary between the structures meets displacement coordination and force balance. According to the system, refined simulation of a multi-field coupling mechanism under complex geological conditions is realized, and the stratum loss simulation accuracy is improved.

The invention provides a dynamic deployment method for satellite batch production test equipment, and belongs to the field of spaceflight satellite electrical testing. The problem that test data are difficult to effectively associate and trace among different devices in different stages directly caused by an extensive management mode is solved. The method comprises the following steps: virtualizing dispersed test equipment into virtual equipment with a standardized interface through a network communication protocol; establishing a static data model and a dynamic data model for each test device; the modeled virtual devices are grouped according to function types to form a device library; when the test task starts, ends or is abnormal, the equipment state is monitored and alarmed; dynamically matching test equipment according to test task requirements, and distributing the equipment to the virtual test bed by adopting a scheduling algorithm; the equipment is connected and locked during testing, and the state of the equipment is set to be a connected state; and after the test is completed, releasing the equipment, setting the state of the equipment to be idle, and returning to the equipment library. The method is mainly used in the satellite batch test field.

The invention discloses a network testing method and device, equipment, a storage medium and a product. The method comprises the steps that a query request is sent to a control terminal, and the query request is used for obtaining available test resource information in the control terminal; receiving the test resource information fed back based on the query request and sent by the control terminal; generating a subscription list by using the test resource information and a test resource demand of a to-be-tested network, the subscription list being used for subscribing test resources corresponding to the test resource information; sending a subscription request including the subscription list to the control terminal; and testing the to-be-tested network by using a virtual tester fed back by the control terminal based on the subscription request. According to the embodiment of the invention, the testing efficiency of network testing is improved.

The invention relates to the technical field of software testing, and discloses a multi-role-based test system management method, which comprises the following steps: creating a plurality of tenants, obtaining basic information of users in each tenant, and allocating roles to the users according to the basic information; a multi-role permission model is constructed, initial permissions of all roles of different tenants are generated based on the multi-role permission model, and the initial permissions comprise a plurality of preset permission points; constructing a plurality of test scenes and a virtual test unit of each role, testing the virtual test units based on the plurality of test scenes, and generating a comprehensive test evaluation value of each role according to a test result; and judging whether to adjust the initial authority of the role or not according to the comprehensive test evaluation value, and if so, generating an authority management strategy, thereby realizing refined authority management and improving the management efficiency of the test system.

The application discloses a good product production real-time monitoring system of vehicle gauge equipment, and belongs to the technical field of quality control, and comprises a sensing module, a reinforcement test module and a decision module; the sensing module is used for collecting physical parameters and performance test physical data of vehicle gauge product production processes in real time, constructing a batch deviation matrix, calculating a quality deviation degree, generating an edge identification table, and screening key control parameters affecting physical performance; the reinforcement test module is used for performing virtual testing on a target edge piece, generating an equipment control scheme by using a parameter coupling matrix, dynamically adjusting parameters, comparing virtual and real curves to calibrate a twin body, optimizing a digital twin body, and reissuing parameters; and the decision module is used for constructing a traceability file of the target edge piece, defining decision parameters, calculating a comprehensive decision score through a multi-dimensional judgment matrix, executing differentiated decisions in different scenes, generating equipment control instructions, and accurately identifying edge pieces with performance close to a qualified threshold.

The embodiment of the invention provides a virtual controller test method, electronic equipment and a storage medium, and the method comprises the steps: generating a test signal, and transmitting the test signal to a virtual controller through a virtual wire harness; the virtual controller responds to the test signal, generates a control signal, and sends the control signal to a virtual rack through the virtual wire harness; the virtual rack is used for testing the control signal, responding to the control signal and generating a response signal under the condition that the control signal passes the test, and sending the response signal to the virtual controller through the virtual wire harness; and testing the response signal, and determining that the virtual controller passes the test under the condition that the response signal passes the test. According to the embodiment of the invention, the virtual controller can be tested in the virtual test environment, and the test efficiency of the virtual controller is effectively improved.

The invention relates to the technical field of robot control, in particular to a multi-task execution control device and method for an automatic cruise robot, which integrates multi-dimensional heterogeneous data, constructs a virtual digital twin model consistent with a physical site, provides a basis for synchronous mapping, and is driven by real-time data. Two-way interaction and high-precision space-time synchronous mapping between a physical entity and a virtual model are achieved, the cruise robot and the virtual model cooperatively scan and analyze a site, automatically plan a path and go to a key inspection work task point, a layered distributed state machine architecture is adopted, multiple technologies are fused, and the system and the method are simple and convenient. Multi-task autonomous decision making and motion planning in a complex environment are achieved, infinite times of testing are conducted on an algorithm in a virtual environment, massive verification data are accumulated, optimization debugging is conducted on control parameters and strategies of an entity robot based on virtual test data, and the problem that an automatic cruise robot multi-task control method at the present stage is insufficient is solved.

The application provides a kind of electric energy meter test simulation method and system based on experimental environment, wherein the method comprises: according to actual test scene, the virtual communication relationship between multiple virtual electric energy meters is built, a virtual test scene is generated, according to preset test demand and preset scheduling algorithm, the test task of each virtual electric energy meter is determined to be acquired, according to the test task of each virtual electric energy meter and the corresponding virtual address, test parameters are sent to the corresponding virtual electric energy meter, and test results are collected. By configuring multiple virtual electric energy meters for a to-be-tested electric energy meter, multiple reuse of a set of physical hardware resources for the to-be-tested electric energy meter is achieved, the number of physical electric energy meters required in the electric energy meter network is reduced, thereby saving the deployment cost of the electric energy meter network and improving the test efficiency of the electric energy meter network.

The invention provides a pressure testing device and method for a train wireless dispatching communication system. The system comprises a parameter configuration module used for configuring testing parameters; static data associated with lines, stations and cell identifiers are stored in the basic database; the terminal simulation and sending module dynamically creates a corresponding number of virtual test terminals according to the terminal creation interval and the terminal scale in combination with the test parameters; for each test terminal, calculating the cell switching period of the test terminal according to the moving speed of the terminal, and dynamically simulating the cell switching behavior of the test terminal in the moving process; in the simulation process, controlling each virtual test terminal to concurrently initiate a scheduling communication service request according to a service triggering rule; and the monitoring module automatically compares and verifies the response information with the corresponding static data in the basic database, and generates a test report based on a comparison and verification result, thereby realizing concurrent simulation of large-scale train terminals in a dynamic moving scene, and realizing test of scenes such as multi-train cross-station operation and operation speed change.