476 results about "Physical test" patented technology

The invention provides a hardware-in-the-loop simulation test method and device for a network construction type energy storage converter, and relates to the technical field of electric power grids. The network construction type energy storage converter is connected with the simulation energy storage system and the power grid simulation device, a hardware-in-the-loop simulation test system is constructed, and control parameters of the simulation energy storage system and the power grid simulation device are adjusted based on the simulation test system in combination with test types. Various types of hardware-in-the-loop tests and semi-physical tests such as fault ride-through tests, electric energy adaptability tests and black start tests are realized, and effective evaluation of the performance of the network-forming type energy storage converter is realized. According to the method, the problem of power grid oscillation caused by the fact that the network construction type energy storage converter is connected into the power grid for testing is avoided, the accuracy of the testing result of the network construction type energy storage converter is guaranteed, accurate capturing of performance parameters of different types of network construction type energy storage converters is achieved, and the testing effect of the network construction type energy storage converter is improved.

The invention relates to the technical field of semiconductor device testing, in particular to a SiC MOSFET power cycle testing method which comprises the following steps: S1, building a composite environment testing platform, configuring dynamic testing parameters, automatically calculating a physical boundary and collecting sensor data in real time; s2, establishing a finite element simulation model based on the physical boundary and sensor data, and outputting optimized dynamic test parameters and a simulated stress distribution diagram; s3, synchronously applying composite stress according to the dynamic test parameters and the stress distribution diagram, and collecting multi-dimensional test data in real time; when the system is used, through dynamic boundary calculation and real-time data acquisition, the intelligent degree and reliability of the test are improved, the test period is shortened, the failure prediction accuracy is improved, the system is suitable for reliability evaluation of SiC MOSFET devices in the fields of new energy, aerospace and the like, a large number of physical tests are avoided through virtual simulation, and the reliability of the SiC MOSFET devices is improved. And reduction of device loss and resource waste is facilitated.

The invention discloses a valve vibration impact test method and system based on digital twinning, and belongs to the technical field of industrial equipment test and evaluation. The method comprises the following steps: firstly, deploying a multi-source sensor network, constructing a physical entity layer of a valve vibration impact test, collecting and preprocessing various physical monitoring data, and constructing a digital twinborn body layer; secondly, real-time data assimilation with a physical test bed is realized through parameter calibration and updating of a digital twinborn model based on various physical monitoring data and the digital twinborn layer; and finally, executing a virtual vibration impact test, realizing prediction and evaluation of global response and key part information of the physical entity according to a test result, and finally realizing interaction and performance prediction. And the valve vibration impact test is realized through the valve vibration impact test system. According to the method, the fault diagnosis capability, the early damage identification capability and the valve state prediction and evaluation capability can be remarkably improved, and the defect of insufficient field monitoring information is overcome.

The invention discloses a mold and formwork design system based on virtual simulation, and particularly relates to the field of mold design, the mold and formwork design system comprises a multi-mode perception fusion module, a digital twin modeling module, a multi-physics field coupling simulation module, a hybrid intelligent optimization module, a digital twin closed loop verification module and a data center module, and each module forms a design closed loop through a data center. The multi-modal sensing fusion module adaptively collects and fuses multi-source signals to generate high-credibility data; the digital twin modeling module constructs and iteratively corrects a model based on the data; the multi-physics field coupling simulation module realizes multi-solver co-simulation under a dynamic boundary; the hybrid intelligent optimization module accelerates to generate an optimal solution through secondary optimization and an agent model; the digital twin closed-loop verification module detects defects and generates a correction instruction; the data center module is responsible for data management, cross-module scheduling and precision control; the system improves the design precision and efficiency of the mold frame, reduces the physical mold testing cost, and is suitable for a high-precision mold development scene.

The invention discloses a multi-view child motion coordination ability evaluation system and method based on deep learning, belongs to the technical field of motion evaluation, and solves the problems that child motion evaluation in the prior art mainly depends on manual observation and simple physical testing, and multiple angles and key details of child actions are difficult to synchronously track. The method comprises the following steps: training to obtain a skeleton point detection model and an athletic ability evaluation model, acquiring real-time video streams of personnel entering a field based on an acquisition camera, identifying skeleton key points in a preprocessing data set by the skeleton point detection model, performing multi-person detection on a personnel matching result based on an athletic area division method, and evaluating the athletic ability of the personnel. The exercise ability evaluation model carries out quantitative analysis on multi-person detection results; according to the invention, visual identification and motion state detection technologies are combined, a front view angle and side view angle dual-camera layout is adopted, and a deep learning algorithm is matched, so that automatic children dynamic motion evaluation is realized. The action process can be completely captured, and the detection accuracy and efficiency are improved.

The invention discloses a coordinated regulation and control system and method for dynamically testing pod environmental parameters, and the system comprises a multi-source sensor array which comprises a plurality of sensors used for collecting various environmental parameters in a pod in real time; the central controller is used for fusing sensor data and digital twinborn prediction information in real time through an FPGA + GPU heterogeneous architecture, dynamically generating and optimizing a regulation and control strategy based on a deep reinforcement learning algorithm, and synchronously coordinating an execution mechanism group to realize multi-physics field coupling control; the digital twinning interface is used for synchronizing the physical test environment and the bidirectional data flow of the digital twinning interface in real time, calculating and predicting the environment parameter evolution trend based on multi-physics field coupling, and feeding back closed-loop correction model parameters through reinforcement learning; and the execution mechanism group is used for adjusting the environmental parameters according to the control instruction. The system has the testing environment control functions of multi-parameter coordinated regulation and control, low-delay dynamic response and intelligent optimization capability, and the accuracy and testing efficiency of complex working condition simulation can be improved.

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 data-real fusion civil aircraft environment control system fault positioning test method, and belongs to the field of civil aircraft system fault digital positioning test, and the method comprises the steps: S1, real: carrying out fault positioning based on a physical test; s2, performing digital twinning-driven fault location deduction based on the physical test data obtained in the S1; s3, number-real fusion: based on the physical test result in S1 and the digital twinborn deduction result in S2, performing Bayesian-based fusion analysis and iterative optimization: calculating the deviation between the physical test and the digital twinborn simulation result; if the deviation exceeds a threshold value, optimizing parameters of the digital twinborn model by using a Bayesian method, adjusting a physical test scheme, and iteratively executing S1-S2 until the deviation meets the requirement; and outputting a final fused fault positioning result. According to the method, the precision of civil aircraft environment control system fault positioning is improved, and reliable technical support is provided for fault positioning and maintenance decision making.

The invention relates to a method, a device and a system for verifying a bearing structure of a rear bumper, and belongs to the field of bumper testing, and the method comprises the following steps: carrying out mechanical property simulation in a three-dimensional model of the rear bumper; fixing the rear bumper simulation real vehicle assembly posture, starting to test the rear bumper, and recording the actually measured deformation quantity in real time; calculating a safety coefficient K; according to the method, the same process is adopted in each testing process, testing is carried out under the same condition, the reference degree of a testing result is improved, meanwhile, the data of physical testing is compared with the data of analogue simulation, and the testing accuracy is improved. And according to the existing difference, whether the subsequent design of the rear bumper is improved and optimized or not is quickly judged.

The invention discloses a power monitoring system mimicry defense architecture based on dynamic heterogeneous redundancy, which relates to the field of smart grid network security protection and comprises a physical layer, a twinborn layer and a simulation layer. All the layers communicate through encryption channels, a collaborative architecture of a physical layer, a twinborn layer, a simulation layer and an application layer is constructed, accurate mapping of a virtual environment and a physical power monitoring system is achieved by means of the digital twinborn technology, and a virtual carrier fitting the reality is provided for anomaly detection and attack simulation. The adaptability of the defense architecture to the power business logic is improved through analysis and simulation support on the power dedicated protocol; each layer ensures that the normal operation of the power monitoring system is not interfered through encryption communication and reasonable resource control; meanwhile, the digital twinborn body is used for replacing the traditional physical test environment, so that the construction, operation and maintenance cost of a defense system is reduced, the management efficiency is improved, and an adaptive service, efficient and reliable basic framework is laid for the safety protection of the power monitoring system.

The invention discloses an evaluation method for improving the accuracy of a wave energy device test and a numerical model, and particularly relates to the field of wave energy tests. The method comprises the following specific steps of preliminary parameter acquisition and modeling, multi-scale test design, multi-medium multi-physical field coupling simulation, data fusion and multi-model calibration, dynamic adaptability optimization and performance evaluation standard establishment. According to the invention, multiple technical means such as multi-scale test, multi-physical field coupling simulation, data fusion calibration, dynamic adaptability optimization and the like are combined, so that the performance evaluation capability of the wave energy device can be comprehensively improved; a systematized test and digital-analog optimization process and a preliminary parameter acquisition and modeling method are provided, so that the digital-analog simulation and test accuracy of the wave energy device can be improved; the invention provides a wave energy device evaluation standard and process with higher accuracy and applicability, so as to ensure that digital-analog simulation and physical tests can better reflect the actual performance of a prototype, and provide powerful technical support for the development and optimization of the wave energy device.

The invention discloses a digital twin manufacturing and testing system for key parts of aerospace equipment, which belongs to the field of intelligent manufacturing and comprises an intelligent manufacturing module, a surface detection module, a nondestructive inspection module and a mechanical detection module. The intelligent manufacturing module digitalizes the manufacturing process by means of a digital twinning technology, so that the processing process state and the subsequent detection result can be mapped conveniently; the surface detection module is mainly used for visual detection, two-dimensional or three-dimensional visual information is used, an artificial intelligence algorithm is combined, and surface machining quality detection is achieved; the nondestructive inspection module is used for detecting internal defects of the parts by virtue of internal defect inspection equipment; the mechanical detection module is mainly used for simulating detection of mechanical characteristics and life cycle of parts under dynamic working conditions of stress, temperature and the like. According to the method, digital mapping of the intelligent manufacturing process, the surface characteristics, the internal characteristics and the mechanical properties is realized by constructing a neural network architecture, so that the aim of gradually replacing physical testing with digital testing is fulfilled.

The invention discloses a pipeline plugging test system and method for a plugging device, and relates to the technical field of plugging test, and the method comprises the steps: carrying out the first physical test of the plugging device, and determining first test data; a mechanical environment is introduced through simulation of flow field circulation, a test module is established through plugging simulation of a plugging device, and a discrimination assembly based on plugging characteristics is introduced and is deployed in a test system in an embedded manner; the judgment component judges the first test data, determines a first test result, triggers the test module, executes a two-order mechanical test, determines second simulation data, judges based on the judgment component, and determines a second test result; and performing terminal interface display on the second test result. The technical problems that in the prior art, a single physical testing means is relied on, the plugging performance is difficult to comprehensively evaluate, and an intelligent evaluation mechanism and standard uniformity are lacked are solved, and the technical effect of systematized and intelligent testing of the plugging device performance is achieved.

A test system and method for testing a coupled hybrid dynamic system in simulated motion along a path includes a physical test rig configured to test a physical component. A processor is configured with at least one virtual model portion and a physical component comprising the coupled hybrid dynamic system. The processor is configured to control the test rig such that the component under test and the at least one virtual model portion travel along a path. A method is provided for generating an initial input to begin with in an iterative process to obtain a suitable input for the at least one virtual portion.

The invention belongs to the technical field of semi-physical tests, and particularly relates to a gas turbine double-duct air inlet switching mechanism test bed, a method, a program and a storage medium. The device can simulate the flow distribution condition of the inner duct and the outer duct in the switching process of the reversing turbine of the reversing gas turbine, and can be used for a steady-state flow characteristic test of independent operation of double ducts of the gas turbine and a dynamic flow test of an electric cylinder in different operation modes. Flow distribution characteristic research of double ducts of the gas turbine under multiple working conditions and aerodynamic characteristic research in different electric cylinder operation modes can be achieved, and a series of complex problems caused by coupling of a reversing turbine and a switching mechanism of the gas turbine are solved. And a theoretical basis and technical support are provided for the overall performance analysis of the gas turbine capable of reversing.

The invention discloses a simulation method for a corresponding relation between a baffle tongue position and a flow field of a semi-spiral suction chamber, and relates to the technical field of double suction pump design and numerical simulation. According to the method, a three-dimensional flow channel model of multiple groups of baffle tongue reference position parameters is constructed, multi-working-condition simulation and quantitative analysis are combined, a mapping relation model of baffle tongue positions and flow field characteristic parameters is established, and a baffle tongue region vortex generation rule, turbulence dissipation and pressure pulsation characteristics are accurately captured; the optimal baffle tongue parameter interval is determined by combining the flow field uniformity and energy loss minimization principle, the flow loss is effectively reduced, the vortex strength and energy dissipation are reduced, and the flow field uniformity is improved, so that the pump efficiency is improved, the vibration noise and the cavitation phenomenon are inhibited, and the optimal baffle tongue parameter interval is obtained by adopting adaptive grid encryption, a multiphase flow cavitation model and a test verification mechanism. The mapping model is corrected by combining measured data, so that the optimization result can directly guide the baffle tongue design under different working conditions, the research and development period is remarkably shortened, and the physical test cost is reduced.

The invention relates to a wind power blade hoisting load simulation analysis method which comprises the following steps: defining a plurality of simulation working conditions corresponding to a plurality of hoisting scenes according to a blade hoisting scheme of a wind generating set and the plurality of hoisting scenes; a multi-body coupling model established on the basis of a blade hoisting system is adopted, hoisting load simulation analysis is conducted on the basis of the multiple simulation working conditions, hoisting load data of the multiple simulation working conditions are obtained, and the multi-body coupling model comprises blades, a draught fan main engine, a hoisting tool and environment wind conditions. The invention further provides a wind power blade hoisting load simulation analysis device and a storage medium. The simulation analysis of the hoisting load of the wind power blade is realized, the load level of the blade and the whole machine in the hoisting process of the wind power blade can be evaluated, physical tests can be reduced, and the hoisting safety of the wind power blade can be enhanced.

The invention discloses a ventilation cooling optimization method for an all-hydrogen-cooled gas turbine generator, and relates to the technical field of all-hydrogen-cooled generator cooling, and the method comprises the steps: analyzing cooling demands, calculating loss in combination with a high-frequency start-stop peak regulation working condition, and setting a stator RTD temperature, an iron core temperature and a temperature rise target; an end ventilation structure is designed, the diameter of the fan is optimized, and bar gaps, wind shield holes and inner supporting ring ventilation grooves are formed; optimizing variable air ducts of the iron core, and adjusting the width of the air ducts according to thermal load partitions; cFD coupling simulation verification is carried out, and a loss data simulation flow field and a temperature field are imported; carrying out physical test iterative optimization, manufacturing a prototype model, testing, and adjusting parameters until errors are qualified; operation monitoring and dynamic adjustment are carried out, and a sensor is installed to collect data in real time and adapt to working condition requirements. Cooling uniformity and efficiency are improved, peak regulation start and stop working conditions are adapted, hydrogen parameter change influences are balanced, vibration and cooling are cooperatively controlled, operation and maintenance convenience is improved through modular design, and long-term stable operation of the generator is guaranteed.

An engineering machinery equipment performance degradation prediction method based on multi-model stacking fusion is characterized in that design calculation, a simulation model and a data driving model are combined, physical test data under different carrying equipment and different working conditions are used as training materials, confidence weight distribution of sub-models is completed, and a fusion total model is obtained. And when real object live test data under certain conditions are lacked, the environmental conditions are used as input, a final prediction value is obtained through a model stacking weight distribution mechanism, and the prediction result of the performance degradation of the engineering mechanical equipment is optimized.

The invention discloses a land-based virtual-real symbiosis experiment system for traveling cable swing, which comprises a land-based cable experiment table carrying a driving and loading module, and a mapping module for collecting real parameters of a traveling cable based on the driving and loading module to establish a mechanical model, the driving and loading module comprises driving equipment arranged on the land-based cable experiment table, the mapping module defines boundary conditions of the mapping module in a fixing mode of the land-based cable experiment table, and the boundary conditions serve as constraints of a dynamic model in the mapping module. By establishing real-time data transmission between the physical experiment table and the digital twin model, the problem of mapping lag is solved on the basis of real parameters collected by the driving and loading module, a simulation result can be fed back to the physical experiment table, parameter adjustment is guided, a digital research platform is provided for trailing cable reliability research in a land-based environment, and the reliability of a trailing cable is improved. And an effective guarantee is provided for ensuring absolute safety of cable running.

The invention relates to the technical field of finite element modeling, in particular to a kinematics and dynamics index output method based on a human body model, which comprises the following steps of: S1, establishing acceleration modules at the head, the chest, the hip and the lower limbs of the human body model for global and local acceleration and angular velocity output; s2, building displacement modules at the chest, abdomen, knee joints and achilles tendons of the human body model, wherein the displacement modules are used for outputting the compression amount and the elongation amount; and S3, establishing section force modules at the spine, crista iliaca, femur and tibia of the human body model for outputting local force and torque. According to the scheme, the technical problem that kinematics and dynamics indexes of the human body model cannot be effectively extracted in the prior art can be solved, the obtained kinematics and dynamics indexes can be compared with data collected by various sensors in a real physical test, and biological fidelity verification of the human body model is facilitated.

The invention provides a tire model parameter optimization method and device, a storage medium and a program product, and the method comprises the steps: obtaining the physical test data of a tire under a standard working condition, the physical test data comprising an input condition corresponding to the standard working condition and the actual mechanical behavior data of the tire; according to the input condition and the initial tire model parameters, simulating the tire model to obtain simulation mechanical behavior data of the tire model under the standard working condition; based on the difference between the simulated mechanical behavior data and the actual mechanical behavior data, constructing a multi-objective function for model parameter optimization; the optimization of the multi-objective function is taken as an objective, a multi-objective evolutionary algorithm is applied, a Pareto optimal solution set of the tire model is iteratively determined, and the Pareto optimal solution set comprises multiple groups of tire model parameters; and taking the Pareto optimal solution set as a tire model parameter optimization result. The method is used for achieving the effects of reducing manual intervention, achieving full-process automation and further improving efficiency and accuracy.

The invention discloses an aerospace equipment performance evaluation method based on digital test data fusion, and belongs to the field of electronic engineering and computer science, and the method comprises the steps: designing a physical test and a digital test, selecting related indexes of aerospace equipment, and carrying out corresponding physical and digital tests around the related indexes of the aerospace equipment; performing preprocessing and multi-source data integration on the physical test data; performing data quality evaluation and virtual data division on the digital test data; and performing double fusion on the result through an adaptive fusion algorithm to obtain a performance evaluation result. The advantages of the digital test and the physical test can be fully exerted, and comprehensive and accurate evaluation of the aerospace equipment performance is realized through deep fusion of the digital test data and the physical test data.

The invention provides a dual-super satellite maneuvering ground test system and method based on air floatation gravity unloading. The platform cabin body and the load cabin body are mainly formed by building aluminum profiles and aluminum plates, and the platform cabin body is located on a single-axis air floating platform or a three-axis air floating platform; the load cabin uses a self-carrying gas cylinder to supply gas and floats on the marble platform through a plane gas bearing. The two cabins are respectively provided with a power supply module unit capable of providing related power supply, a central computer for operating a real-time system, a gyroscope for measuring the angular velocity and an auxiliary cable. Meanwhile, the two cabins are connected through a magnetic suspension actuator. By installing corresponding execution mechanisms in the platform cabins, full-physical test verification in the aspects of cooperative steady-state control of the two cabins of the double-super satellite, rapid attitude maneuver control, inter-cabin cable disturbance and the like can be achieved. The test method has the advantages of simple structure, low manufacturing cost and rapidness in implementation.

The utility model discloses an aluminum alloy plate physical testing device which comprises a machine body, a conveying mechanism and a detecting mechanism, the conveying mechanism and the detecting mechanism are both arranged on the machine body, and a cleaning mechanism is further arranged on the machine body. Through the arrangement of the cleaning mechanism, the upper surface and the lower surface of an aluminum alloy plate can be wiped and cleaned, and meanwhile, the two sides of the aluminum alloy plate can be blown and cleaned, so that the purpose of cleaning dust and other impurities on the surface of the aluminum alloy plate is achieved; and after cleaning is finished, flatness detection can be immediately conducted on the four faces of the aluminum alloy plate through the detection mechanism, so that the flatness detection efficiency of the aluminum alloy plate is improved, the distance between the two conveying mechanisms can be adjusted through the arrangement of the adjusting mechanism, and meanwhile through the arrangement of a lead screw, the flatness detection efficiency is improved. And the distance between the top plate and the bottom plate can be adjusted to adapt to aluminum alloy plates with different widths and thicknesses.

The invention discloses a heat pump drying experiment method based on 1D-3D joint simulation, particularly relates to the crossing field of heat energy engineering and simulation modeling, and aims to solve the problem of insufficient precision caused by disconnection of a heat pump system and cavity flow field simulation in a heat pump drying process in washing equipment such as a dish-washing machine. The method comprises the following steps: establishing a heat pump system one-dimensional dynamic model and a cavity three-dimensional flow field model, dynamically setting one-dimensionally output air supply temperature and humidity parameters as a three-dimensional inlet boundary, and meanwhile, feeding back three-dimensional air return parameters to a one-dimensional evaporator adjusting boundary to form closed-loop coupling iteration, so as to obtain a three-dimensional flow field model; dynamic high-precision simulation of the whole drying process is achieved, the structure optimization efficiency and the energy consumption evaluation reliability are effectively improved, part of physical tests are replaced, and the development cost is reduced.

The invention provides a multi-objective optimization method for material performance, and belongs to the technical field of material science and artificial intelligence, and the process of the method provided by the invention takes a small sample learning model as a core, combines an active learning optimization strategy, and realizes quantitative optimization of multi-objective performance indexes in material research and development in an extreme service environment. According to the method, limited test data are fully utilized for learning, and the number of physical tests is remarkably reduced; through intelligent optimization search, the efficiency and the success rate of searching for the material design scheme meeting the multi-target performance requirement are improved, and the method has important significance in accelerating development of new materials in a severe environment.

The invention discloses a chip temperature and humidity aging test system, which relates to the field of chip temperature and humidity aging test and comprises a core control and digital twinborn fusion module, a three-dimensional temperature and humidity field active construction module, a multi-physical field coupling stress loading module, an energy self-adaptive supply module and a full life cycle data traceability and intelligent evaluation module. According to the chip temperature and humidity aging test system, through the core control and digital twinning fusion module, chip cross-scale digital twinning modeling containing process deviation and deep closed loop of digital rehearsal, physical test and feedback regulation can be realized, aging key nodes can be pre-judged in advance, the physical test can be accurately guided, and the chip temperature and humidity aging test efficiency can be improved. The perspectiveness and the accuracy of the test are greatly improved; the three-dimensional temperature and humidity field active building module can build a three-dimensional non-uniform temperature and humidity field which is precisely regulated and controlled in a layered mode and driven by a dynamic flow field, the three-dimensional non-uniform temperature and humidity field is closer to a heat and humidity distribution and airflow disturbance scene in actual application of a chip, and temperature and humidity stress simulation is more real.

The invention relates to the field of titanium alloy mechanical property prediction, and discloses a titanium alloy yield strength prediction method for machine learning based on a thermal expansion curve, and the method comprises the following steps: 1, designing a multi-component titanium alloy, and carrying out a thermal expansion test in a sintering process and a mechanical property test after sintering to obtain a titanium alloy original database; 2, carrying out feature screening and screened data preprocessing on the obtained data in the titanium alloy original database; 3, selecting a proper machine learning model, dividing existing data into a training set and a test set, substituting the training set and the test set into the machine learning model for training and testing, and finally selecting an optimal model; and 4, performing a thermal expansion test on the titanium alloy of which the yield strength needs to be predicted in the sintering process, extracting curve characteristic data, and substituting the curve characteristic data into the selected optimal model to output the yield strength. The invention aims to predict the reliable titanium alloy yield strength by combining a thermal expansion method which is a physical test method which is simple to operate and short in time consumption with machine learning.

Embodiments of the present disclosure provide a physical test system of large-scale three-dimensional multi-functional landslide-prevention and control structure. The system comprises a model test tank, a bidirectional servo loading system, a multi-scale model transformation system, a sliding surface evolution visualization system, a positive pressure monitoring system, an artificial rainfall system, and a control system. The bidirectional servo loading system applies a horizontal load and a vertical load, and the multi-scale model transformation system includes a plurality of retractable counterforce brackets, configured to change a width of the model test tank; and the sliding surface evolution visualization system includes a plurality of filming devices, configured to record a whole evolution process of a landslide sliding surface evolution.