277 results about "Computational simulation" patented technology

The invention discloses a simulation method and system based on multi-field coupling and dynamic grid processing, and belongs to the field of computational simulation, and the method comprises the steps: building and solving a coupling physical field model: carrying out finite element spatial discretization on a solving domain, building and solving a coupling partial differential equation set which at least comprises a temperature field, a displacement field and a stress field, and carrying out the finite element spatial discretization; obtaining numerical solutions of the physical fields in the current state; carrying out progressive unit removal based on a physical criterion; and finally, grid data structure updating and solver synchronization are executed. According to the method, the metal material can be gradually removed when the physical quantity reaches the critical condition, and the grid change is dynamically and robustly processed in the process.

The invention relates to the technical field of computational simulation, in particular to a fluid mechanics calculation method and system based on CFD simulation optimization. The method comprises the following steps: acquiring a flow field CFD original simulation model corresponding to fluid mechanics; generating a fluid mechanics flow field key grid area by setting the size of a flow field calculation domain grid and performing calculation domain grid division and flow field key area identification; the method comprises the following steps of: obtaining a grid length-width ratio and torsion resistance corresponding to each grid subunit in the grid, and carrying out grid constraint updating to generate a fluid mechanics flow field updating grid region; a corresponding Reynolds number and a turbulence scale are obtained through the fluid mechanics flow field updating grid area, turbulence model dynamic selection modeling is carried out, and a flow field grid area dynamic turbulence model is generated; and carrying out finite volume division and error simulation correction optimization on the dynamic turbulence model of the flow field grid region to obtain a corrected fluid mechanics flow field quantity calculation result. According to the method, collaborative improvement of fluid mechanics calculation precision and efficiency can be realized.

The invention relates to the technical field of PLC control, in particular to a B / S architecture-based digital twin virtual debugging system and method for a transmission line. The system comprises a three-layer B / S (Browser / Server) architecture consisting of a PLC (Programmable Logic Controller) simulation layer, a business logic layer and a three-dimensional visualization layer, the PLC simulation layer is used for operating a PLC program to obtain a feedback signal of the controlled equipment, simulating the control logic of the PLC to the controlled equipment based on the feedback signal, and sending a control signal to the service logic layer; the business logic layer is used for acquiring the control signal and carrying out business logic operation based on the control signal and the feedback signal so as to calculate and simulate the movement of the controlled equipment and obtain real-time position data; and the three-dimensional visualization layer is used for displaying the operation state of the controlled equipment based on a pre-constructed virtual model of the controlled equipment and the real-time position data so as to display the operation result of the PLC program, generating a feedback signal based on a virtual sensor on the virtual model of the controlled equipment, and sending the feedback signal to the business logic layer.

The invention discloses a parallel computing simulation method for thermal exploitation of a buried pipe well group in a geothermal reservoir, which comprises the following steps of: dispersing a grid volume unit of a buried pipe by adopting a parallel finite element unit method, and simplifying the buried pipe and circulating fluid in the pipe into a one-dimensional linear finite element unit; constructing a plurality of pipeline flow models arranged in an array, and combining the in-pipe one-dimensional linear units and the out-pipe three-dimensional volume units to obtain a well group type pipeline flow geometric model; a parallel finite element unit method is adopted to be combined with a non-isothermal pipeline flow physical field, an underground water seepage physical field and a porous medium heat transfer physical field to conduct multi-physical-field coupling, and a well group type pipeline flow numerical model is obtained; fluid flow and convective heat transfer in the buried pipe and pipe wall heat conduction are solved in a combined mode; and performing factor sensitivity analysis by changing different thermophysical parameters of the rock-soil body and heat exchange characteristic factors of the buried pipe well group. The invention provides a new method for researching fluid flowing and heat transfer behaviors of the buried pipe well group, and provides a new idea for optimal design and efficient simulation of thermal exploitation of the buried pipe well group in a geothermal reservoir.

Embodiments of present disclosure provide methods and systems for increasing transaction approval rate. Method performed includes accessing transaction features and determining via fraud model and approval model, first and second set of rank-ordered transaction features. Method includes computing difference in ranks of transaction features and determining set of utilized and unutilized transaction features and generating simulated authorizing model and computing simulated transaction approval rate and simulated fraud transaction rate for simulated authorizing model. Method includes generating plurality of proxy authorization models. Method includes computing transaction approval rates and fraud transaction rates for each of plurality of proxy authorization models and computing an increase in transaction approval rate and change in fraud transaction rate for each of plurality of proxy transaction approval models. Method includes determining one or more recommended transaction features from set of unutilized transaction features and transmitting one or more recommended transaction features to authorizing entity.

The invention relates to the technical field of sensor fault detection, in particular to a brushless direct current motor sensor fault detection method and system based on a neural network. Comprising the following steps: setting a detection priority of each sensor, and carrying out fault detection in a preset time period; predicting the path range of the equipment at the next moment by combining the sensing information, the position information, the equipment control information and the neural network path prediction model at the previous moment, and obtaining the path deviation through the deviation between the actual path and the prediction range; simulating a motor parameter based on the control information, the path deviation and the motor attribute information, calculating the deviation degree of the simulation parameter and the real-time sensing information, and identifying a fault sensor; and dynamically adjusting the detection priority according to the deviation degree, and entering a fault-free sensor mode when a fault occurs. The problem of dynamic detection of the motor is solved, the detection efficiency and precision are improved, and the real-time performance and reliability of motor control are guaranteed.

The invention discloses a CFD (computational fluid dynamics) boundary processing acceleration method based on GPU (graphics processing unit) parallelism, and belongs to the technical field of fluid mechanics related calculation. The problem that in the prior art, a traditional CFD boundary processing acceleration method is low in calculation efficiency is solved. The method comprises the following steps: generating a computational grid required for simulating a flow field, and reading grid information and boundary condition information of computational simulation; initializing a flow field according to the calculation parameters, copying flow field data and flow field boundary information from a main memory to a video memory, establishing a boundary pointer array in the video memory, and instantiating a boundary pointed by each pointer; according to the boundary pointer array, the flow field data and the flow field boundary information, time step cycle calculation is carried out by utilizing a GPU, and physical quantity updating of a boundary virtual unit corresponding to the thread is realized; and after time step cycle calculation convergence, video memory flow field data are copied to a main memory, and flow field simulation calculation is completed. The method effectively improves the calculation efficiency, and can be applied to CFD boundary processing.

The invention discloses a laboratory intelligent agent construction method and system based on artificial intelligence, and relates to the technical field of intelligent laboratories. In order to solve the problems of scattered laboratory data information, low scientific and technological resource matching efficiency, lack of a unified AI driving platform and the like in the prior art, a core agent is constructed by introducing machine learning or an artificial intelligence architecture, and digital access and resource pooling are carried out on scientific research total factors such as infrastructures, software and hardware, human property and the like. The intelligent agent is based on semantic alignment and inference rules, dynamic intelligent configuration of resources such as field observation, experimental analysis and computational simulation is achieved, and finally a full-life-cycle intelligent management and scientific research environment integrating equipment perception, intelligent control and business application is formed. According to the method, resource islands are effectively broken, the resource utilization efficiency is improved, a novel scientific research normal form of'big data + AI + model 'is promoted, and systematic support is provided for refined and automatic management of laboratories.

The invention discloses a building heat emission model modeling method and device, a terminal and a medium, and the method comprises the steps: firstly collecting building structure data and heat emission environment data of a target area, calculating artificial emission heat emitted by an air conditioner outdoor unit assembled on a building through an enthalpy difference method, and superposing the artificial emission heat to obtain dynamic heat emission data; dividing a heat storage space by taking an air conditioner position as an original point, and establishing a temperature change calculation formula in combination with a wind speed condition to calculate air flux change caused by a hot-pressing effect; thirdly, layering the urban canopies according to the vertical height, calculating the hot pressure difference formed by the air density difference of each layer, and constructing an interlayer heat transfer relationship; finally, integration of the coupling relation between the temperature rise data of the heat storage space and the thermal layer is achieved, the heat emission distribution and the temperature rise trend of the building in the target area under different wind speed conditions are simulated, and the technical problem that an existing heat emission temperature rise calculation simulation method is large in calculation error is solved.

Disclosed is a neural network computing device. The neural network computing device includes a neural network accelerator including an analog MAC, a controller controlling the neural network accelerator in one of a first mode and a second mode, and a calibrator that calibrating a gain and a DC offset of the analog MAC. The calibrator includes a memory storing weight data, calibration weight data, and calibration input data, a gain and offset calculator reading the calibration weight data and the calibration input data from the memory, inputting the calibration weight data and the calibration input data to the analog MAC, receiving calibration output data from the analog MAC, and calculating the gain and the DC offset of the analog MAC, and an on-device quantizer reading the weight data, receiving the gain and the DC offset, generating quantized weight data, based on the gain and the DC offset.

The invention relates to the technical field of cave three-dimensional modeling, in particular to a cave three-dimensional modeling method and system based on multi-sensor fusion, and the method comprises the steps: recognizing a simulation feature network point set, calculating the simulation precision according to the simulation feature network point set and an actual verification network point set, carrying out the point drawing according to the area of a unit test grid and the simulation precision, and carrying out the calculation of the simulation precision. Performing regression analysis on the area precision point set to obtain an area precision regression line; constructing a triangular plane current grid according to a current to-be-measured cave region; performing inner wall secondary sensing sampling on the three-dimensional unit current grid according to predicted regression precision to obtain a secondary three-dimensional sampling point set; and performing three-dimensional correction on the current grid of the three-dimensional unit by using the secondary three-dimensional sampling point set to obtain an initial cave three-dimensional model, and fusing the cave sensing image and the initial cave three-dimensional model to obtain a target cave three-dimensional model. According to the invention, the laser sampling efficiency and the cave three-dimensional modeling precision can be improved.

The application relates to the technical field of calculation simulation of ship hull propulsion research, in particular to a simulation model convenient for hydrodynamic calculation of a full-rotation double-propeller ship, which comprises a plurality of groups of water pressure sensors arranged on the circular arc outer wall of a detection column and facing openings, a drainage long groove arranged on the circular arc outer wall of the detection column and located at the openings, a water inlet pipe of an external water pump assembly arranged in the detection column, and a lifting port arranged at one end of the water inlet pipe and capable of sliding along the drainage long groove to adjust the height, wherein the beneficial effects are that the water flow direction and flow rate in the pool model are accurately controlled through water pumping and high-pressure water inflow in the symmetrical direction, the data detection range of the test is improved, the simulation equipment provided with the water pressure sensors and the displacement sensors is arranged, so that the data in the test process can be conveniently collected, the position of the simulation small ship can be accurately collected through the coordinates established by the transparent grid plates, and the test accuracy is greatly improved.

A method can include receiving property data for a simulation model; analyzing the property data with respect to geometry of the simulation model to select a matrix preconditioner scheme using a machine model; and executing a computational simulator that implements parallel processing based on application of the matrix preconditioner scheme to a matrix representing the simulation model to generate simulation results based on the property data.

The invention discloses a Fe-Mn-C alloy interstitial atom potential function construction method based on a first principle and machine learning, and belongs to the technical field of material science and computational simulation. The construction method comprises the following steps: firstly, constructing a Fe-Mn-C alloy interstitial element atomic structure model, carrying out structure optimization on the interstitial element atomic structure model by utilizing a first principle, then carrying out first principle molecular dynamics (AIMD) multi-temperature sampling on the model after the structure optimization, and dividing a training set and a verification set; and finally, machine learning is conducted, and the Fe-Mn-C alloy gap potential function is output. According to the construction method, unification of high precision and high efficiency of the potential function is achieved, and the obtained Fe-Mn-C alloy gap potential function can be applied to research of a face-centered cubic (FCC) Fe-Mn-C alloy.

The invention belongs to the technical field of geographic information science, and particularly relates to a Markov-FLUS model-based feedback land utilization change simulation method and system, and the method comprises the steps: firstly predicting an initial area target vector based on historical data and a Markov chain, and inputting the initial area target vector into a FLUS model to carry out the first space distribution simulation; by calculating the achievement degree of the simulation result and the area target, the space conflict type which cannot be achieved due to the space constraint is identified, the area target vector is dynamically corrected according to the space conflict type, and the corrected target is fed back to the FLUS model for iterative simulation until the result is converged. According to the method, the technical problem of disjunction of area prediction and spatial layout in a traditional coupling model is effectively solved, and the scientificity and accuracy of land utilization change simulation are remarkably improved.

A simulation method for a coating installation including:a) specification of geometric data of the component to be coated,b) specification of general coating parameters,c) specification of starting values of coating parameters to be adjusted, including a coating path and current spray patterns for the individual path points of the coating path, whereby the current spray patterns represent the coating thickness distribution on the component,d) program-controlled execution of a simulation loop, including:calculation of a simulated coating result by computational superimposition of the current spray patterns provided for the individual path points of the coating path, taking into account the degree of wetness,testing the simulated coating result, taking into account the degree of wetness,adjusting the coating parameters to be optimized and repeat the simulation loop if the simulated coating result is not satisfactory,.terminating the simulation loop if the simulated coating result is satisfactory.

The invention relates to the technical field of power transmission line verification, and discloses a point cloud-based power transmission line windage yaw double-parabola verification method, system and device and a medium, and the method comprises the steps: obtaining three-dimensional point cloud data of a power transmission line corridor, and extracting key ground feature parameters; according to the input target simulation working condition parameters, applying a wire state equation to iteratively solve the dynamic horizontal tension of the wire under the corresponding working condition, and combining a double-parabola mechanical model to calculate a three-dimensional space curve of the power transmission line under the windage yaw state; inputting a three-dimensional space curve and key ground feature parameters, and calculating a three-dimensional space minimum clearance distance between the power transmission line and a key ground feature in a simulated windage yaw state; and after comparison, a verification result is output. According to the method, the wind deflection and sag forms are accurately reconstructed by applying a double-parabola mechanical model, and dynamic simulation of different working conditions is realized in combination with a wire state equation. By combining high-precision mechanical analysis with an automatic verification process, the stability and safety of power grid operation can be improved.

The invention belongs to the technical field of power system power distribution network relay protection, and provides an overhead line tree touch fault simulation method, which comprises the following steps of: 1, establishing a circuit model based on physical characteristics of a current path when an overhead line is in contact with a tree; 2, dividing a physical process according to a tree medium state change rule in a tree touch fault development process, and establishing a resistivity dynamic model of each stage; 3, respectively calculating the correlation of the analog signals by using a Pearson's correlation coefficient method; step 4, constructing a criterion based on the average correlation coefficient # imgabs0 # in the step 3; according to the method, through full-stage dynamic modeling and refined simulation, the time-varying characteristic of state change of a tree medium is fully considered, and the physical authenticity of simulation and the continuity of stage transition are remarkably improved; meanwhile, multi-stage correlation verification and reliability criteria are introduced, and the simulation precision is quantified by using a Pearson's correlation coefficient method, so that the credibility and engineering applicability of a touch tree fault simulation result are enhanced.

A computing system including one or more processing devices configured to obtain sets of ground-state force field data associated with equilibrium chemical systems. The one or more processing devices are further configured to compute ground-state uncertainty values of the sets of ground-state force field data and select a first subset of the equilibrium chemical systems that have respective ground-state uncertainty values above a ground-state uncertainty threshold. The one or more processing devices are further configured to compute off-equilibrium chemical systems by modifying a respective temperature and / or pressure of each equilibrium chemical system included in the first subset. The one or more processing devices are further configured to compute respective ab initio simulations of a second subset of the off-equilibrium chemical systems to obtain off-equilibrium force field data. The one or more processing devices are further configured to train a machine learning force fields model with the off-equilibrium force field data.

The present invention discloses a method for generating a channel spectrum response difference correction table and a channel spacing correction table, a computer program, a computer readable storage medium and a computer tomography device. The method for generating a channel spectrum response difference correction table and a channel spacing correction table includes using parallel projection P paral (k, r) determines the channel position corresponding to the center of the phantom, and calculates the simulated parallel projection and the ideal projection P accordingly sim (k, r), and finally according to the projection difference diff(k, l, r) and the simulated ideal projection P sim (k, r), calculate the channel spectrum response difference correction table t CCR (k, l) and channel spacing correction table t spacing The method, computer program, computer-readable storage medium, and computer tomography device of the present invention for generating a channel spectrum response difference correction table and a channel spacing correction table are not affected by residual beam hardening and can effectively generate ideal projections.

Provided is a method for verifying fault-sand body matching by selective crude oil charging based on parallel displacement simulation. The method includes: selecting a plurality of groups of natural oil-bearing core samples having different porosities and making core columns; testing a charging power and a throat radius corresponding to a first core column, and calculating a vertical oil column height produced by simulated lateral abutting with a fault; mounting the second core column in a clamping simulation system; conducting a crude oil charging saturated formation water core simulation experiment, and simulating a variety of superimposition relationships of sand bodies spatially laterally abutting against the fault; regulating different charging pressures, simulating a vertical oil column height produced by lateral abutting with the fault, and analyzing a fault-sand body power configuration relationship under the action of a buoyancy based on a difference between crude oil charging behaviors in different simulated situations.

The invention discloses a modeling method and an analysis method of a geologic body finite element model containing a fault three-dimensional fine structure, and relates to the field of earth science. According to the method, the three-dimensional fault model is properly smoothed, so that the three-dimensional geometrical characteristics of the fault are reserved, and subsequent grid division is facilitated. And meanwhile, during grid division, even if a relatively complex geometric form is adopted, hexahedron units are still adopted, so that more accurate computational simulation is facilitated, and finally, a geologic body finite element model containing a fault three-dimensional fine structure is obtained. According to the invention, flexible adjustment can be carried out according to different geological backgrounds and scientific problems, including but not limited to addition of corresponding material media, friction coefficients, physical equations, fault contact and other parameters, and geologic bodies and faults in a research area can be simulated more accurately and finely. Meanwhile, the geologic body finite element model mesh created by the method can reach million level, and more refined research, simulation and processing work are facilitated.

The invention discloses a spring type crimping IGBT device fretting wear failure simulation method and system, and relates to the technical field of semiconductor devices.The spring type crimping IGBT device fretting wear failure simulation method comprises the steps that a spring type crimping IGBT finite element model and a multi-physics field coupling model are established based on COMSOL, and electric field, thermal field and mechanical field boundary conditions are set; calculating the wear depth of the contact surface according to an Archard model, and circularly updating the relative roughness and the relative surface slope parameter of the contact surface based on the fretting wear power; and monitoring junction temperature, saturation voltage drop of a collector and an emitter and thermal resistance in real time, and judging fretting wear failure of the spring type crimping IGBT device based on failure conditions. According to the method, through multi-physics field finite element modeling and fretting wear loss calculation, contact surface relative roughness and relative surface slope changes caused by fretting wear are simulated, then electrical and thermal performance parameter change trends of a device are analyzed, and deviation caused by single physics field analysis is avoided; by setting failure conditions, the fretting wear failure of the device can be automatically judged in the analogue simulation process.

The invention provides a pressure drive fracture network expansion simulation method based on damage mechanics. The method comprises the steps that 1, a reservoir three-dimensional crustal stress field is constructed through a target block geologic model; 2, obtaining a damage-permeability evolution model through rock core physical model experiment data; 3, the damage-permeability evolution model is embedded into a finite element calculation model in a secondary compiling mode, and a damage field of target well fracturing is calculated; 4, comparing the damage field and the microseismic data when the target well is fractured, and iteratively correcting the correlation coefficient in the permeability evolution model; and 5, seepage-deformation-damage coupling finite element calculation is carried out to obtain the fracture network form of pressure flooding water injection. According to the pressure driving fracture network expansion simulation method based on the damage mechanics, a calculation simulation method for fracture network expansion caused by high-pressure water injection is established, pressure driving fracture network expansion simulation calculation which cannot be processed by a conventional discrete fracture model is achieved, better innovativeness and practicability are achieved, and popularization is facilitated.

The invention discloses a method for constructing a two-dimensional layered material machine learning potential function, and belongs to the field of material science and computational simulation, and the method comprises the steps: S1, carrying out the modeling of a two-dimensional layered material through employing a first principle, completing the calculation of the first principle, and taking a result as a data source; s2, extracting structure and force information from the data source, and vectorizing the data to form a data set for training a neural network model; s3, training the processed data set based on a deep learning model DeepMD, and generating a potential function model of machine learning; s4, model detection: calculating an error between a model prediction value and a first principle calculation result; s5, carrying out molecular dynamics simulation; by reasonably designing the modeling process and optimizing the data processing and training steps, the generated potential function model is ensured to have high precision and high efficiency, and the method can be widely applied to the field of material science and molecular dynamics simulation.

The invention discloses an electromagnetic environment-friendly radiation protection assessment method and system, and the method comprises the steps: obtaining electromagnetic field data containing power frequency and high-frequency components through a data collection device, generating a multi-dimensional index data set and a radiation characteristic distribution diagram through the combination of exposure time and a crowd sensitivity index through a computational simulation method, and accurate quantitative analysis of the complex electromagnetic environment is realized. On the basis, a weight analysis method is adopted to fuse effect parameters to calculate a risk quantitative score, when the score exceeds a safety threshold value, radiation limit value data is automatically extracted to generate a visual risk map, and a processing module is linked to output a grading protection instruction. By activating protection configuration in the sensor network, decision unit parameters are dynamically adjusted according to real-time electromagnetic field data, and an optimized protection scheme including a dynamic strategy is formed. According to the invention, the conversion from passive protection to active early warning is realized, and the intelligent level and protection effect of electromagnetic radiation protection are significantly improved.

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 a polymer glass transition temperature prediction method and device based on an adaptive optimization algorithm and a graph neural network, and a medium. The prediction method comprises the following steps: converting polymer molecular structure data into graph structure data containing node features and edge features; acquiring training parameter configuration information; constructing a graph neural network model comprising a graph convolution layer, a graph pooling layer and a full connection layer based on the training parameter configuration information, and training by adopting an improved RAdam optimization algorithm; after multiple batches of gradients are accumulated through a gradient accumulation strategy, model parameter updating is executed, the model performance is dynamically evaluated based on the mean absolute error and the mean square error of the verification set, and optimal model parameters are stored; and predicting the Tg of the polymer by using the optimized model. Compared with the prior art, the polymer Tg prediction precision and the training efficiency are synchronously improved, and the low-flux bottleneck of traditional experimental measurement and the precision-scale contradiction of computational simulation are broken through.

The invention belongs to the technical field of vehicle-mounted display, and relates to a vehicle-mounted display screen touch abnormity recovery method and system, and the method comprises the following steps: dividing a virtual sensing area, and building a mapping table; the method comprises the following steps: periodically collecting original capacitance data of a normal area, synchronously obtaining communication quality and environment state messages, and aligning to form a multi-dimensional data stream; identifying an abnormal region, dynamically adjusting a threshold value in combination with an environment state for rechecking, determining a fault type, and generating an abnormal judgment signal; generating a targeted recovery instruction packet according to the fault type; sending to a controller for execution, updating the mapping table and activating a neighborhood interpolation compensation algorithm; monitoring a touch track in real time, calculating a simulation coordinate by using data interpolation of an adjacent normal area when entering a fault area, and integrating the simulation coordinate with a real coordinate to form a continuous touch coordinate flow; according to the invention, the problems of whole screen interruption caused by inaccurate fault positioning, unnecessary reset caused by environment interference misjudgment and influence on system availability due to long overall reset time in the prior art are solved.

This invention discloses a method for directional experimental verification and performance testing guided by computational simulation in materials chemistry, belonging to the field of materials performance testing technology. The method includes: acquiring the structural parameters of semiconductor devices and initial parameters of interface defects; calculating the characteristic time constant of carrier trapping by interface traps; simulating and generating a theoretical capacitance-voltage hysteresis loop; then performing bidirectional voltage scan tests within a sensitive scan rate range; finally, updating the inversion parameters and resimulating, iteratively adjusting until the characteristic deviation between the theoretical loop and the measured data meets the convergence condition, thus outputting an interface state density distribution map. This invention, through computational simulation-guided directional experiments, achieves accurate capture and non-destructive in-situ characterization of the dynamic response characteristics of interface states, effectively establishing the dynamic structure-property relationship between microscopic interface defects and macroscopic device performance, and significantly improving the accuracy and reliability of interface defect parameter inversion.