31 results about "Continuous dynamic" patented technology

The invention relates to the technical field of power system inertia evaluation, in particular to a random mode switching driven power distribution network equivalent inertia online evaluation method and system, and the method comprises the steps: carrying out the priori definition of a group of hidden operation modes based on the equivalent inertia of a power distribution network, and constructing an unobservable Markov chain; a double-layer hidden Markov jump system model is constructed, the bottom layer is an unobservable Markov chain, and the upper layer is a continuous dynamic behavior model for describing the power distribution network; on the basis of PMU high-resolution time sequence disturbance data, deducing the probability of a system maximum probability dominant operation mode and the probability of each hidden operation mode; and carrying out multi-mode probability adaptive weighting on each equivalent inertia estimation value based on the probability of the dominant operation mode and each hidden operation mode so as to obtain the equivalent inertia estimation value of the power distribution network on line. Through the method, the problem that the equivalent inertia of the power distribution network is difficult to quickly, accurately, dynamically and adaptively assess online under the conditions of high permeability of new energy and frequent switching of working conditions is effectively solved.

The invention discloses a reservoir scheduling calculation method based on a differential form. The method comprises the following steps: S1, collecting basic data and parameters; s2, establishing a water balance equation in a differential form according to engineering precision requirements; s3, according to different scheduling modes, according to the initial state of the time period, obtaining the reservoir outlet flow at the end of the time period, substituting the reservoir outlet flow into a water balance equation in a differential form to solve the reservoir capacity at the end of the time period, and querying a water level-reservoir capacity relation curve to obtain the reservoir water level at the end of the time period; and S4, taking the calculated water level of the reservoir at the end of the time period and the reservoir outlet flow as initial values of the next differential time period, and repeating the step S3 until analog calculation of the whole scheduling period is completed. According to the method, a zigzag process line is effectively avoided, continuous dynamic simulation of the reservoir water level and the reservoir-out flow is achieved through tiny time period iteration, the critical point of a control operation plan, reservoir-in flow change or gate opening adjustment can be responded in time, and the problem of water level oscillation caused by constant variables in time periods in a traditional method is avoided.

The application discloses an energy balance-based asymmetric temperature control system simulation modeling method, and belongs to the technical field of industrial temperature control system modeling and simulation. Firstly, a temperature rising step experiment and a temperature falling step experiment are performed, steady-state data is acquired, a balance point power function is derived, equivalent verification is performed, a temperature rising curve and a temperature falling curve are derived, and identification parameters are derived. A net power deviation is defined, the identification parameters are subjected to smooth transition, gain parameters are acquired, a first-order linear differential model is established, a first-order backward difference method is adopted for discretization, recursion is performed based on a set simulation step, and a recursion model is acquired. A plurality of recursion models are derived based on repetition of the simulation step, a temperature response curve of the temperature control system is established, and simulation modeling is completed. The method only needs two step experiments, real-time parameters are calculated through the net power deviation, real smooth and continuous dynamic simulation is realized, and a reliable simulation method is provided for temperature digital twinning and temperature controller design.

The invention discloses a next interest point recommendation method based on multi-aspect continuous dynamic preference modeling of hypergraph ODE. According to the method, modeling can be efficiently carried out on multi-aspect dynamic preferences of the user from a continuous angle, and more personalized recommendation is provided for the user. Multi-aspect user preferences are decoupled by constructing a multi-view hypergraph from collaborative, geographic, and transformational aspects. By expanding discrete hypergraph convolution operation into a continuous form based on an ordinary differential equation (ODE), continuous evolution of multi-aspect user dynamic preferences is modeled. User preferences under different views are integrated by adopting a self-adaptive fusion mechanism, and a dynamic relationship between the user preferences is captured. In addition, an inter-view and in-view comparative learning normal form is designed to enhance the expressivity and robustness of interest point representation. A large number of experiments carried out on four real spatio-temporal data sets with different scales verify that the method has remarkable advantages and efficiency.

The present application belongs to the technical field of test environment construction of aero-engine components, and provides a dynamic variable-speed inlet test method and system under continuous air supply and extraction conditions, the method comprising: constructing a nozzle profile, a test device nozzle inlet and outlet pressure ratio, and a speed-continuous adjustment sub-model of air supply and extraction pressure and flow balance; inputting the dynamic change requirement of the target speed with time during continuous variable-speed test under non-stop air condition into each control sub-model, combining the control law of each actuator, establishing a variable-speed control model of the nozzle profile, the test device nozzle inlet and outlet pressure ratio, the air supply and extraction pressure balance, and the test piece attitude with time, and performing continuous variable-speed flow field under the conditions of uninterrupted air supply and extraction to meet the variable-speed and time requirements. The method can perform speed-continuous dynamic change blowing test under the conditions of non-stop air and uninterrupted test device operation, and provides reliable test data support for advanced aircraft inlet design and optimization.

The invention relates to the technical field of power load prediction, and discloses a federated power load prediction method based on dynamic clustering and layered personalized aggregation, comprising the following steps: constructing a transverse federated learning framework; each client carries out local load data independent training and uploads updated model parameters to the server; the server calculates similarity by using cosine similarity so as to dynamically adjust the structure of the clusters, and deletes inactive clusters by judging whether the clusters are active or not according to training rounds and setting an active period so as to adjust the number of the clusters; the server executes hierarchical federal aggregation on each cluster model based on the current clustering result; and the server respectively issues the aggregated cluster model to each client of the corresponding cluster for next training, thereby realizing continuous dynamic optimization. The method has obvious advantages in key indexes such as prediction precision and convergence rate, and the load prediction performance under the federated framework is improved.

The invention provides a continuous dynamic compaction reinforcement foundation treatment construction method and system, and belongs to the field of building construction. According to the technical scheme, the method comprises the steps of collecting multi-source geological survey data to establish a digital twinborn body; virtual dynamic compaction training is carried out in the digital twin body, and an initial construction strategy is output; obtaining construction response data, and updating state parameters of the digital twinborn body; generating an optimization construction instruction based on the updated digital twinborn body; and the dynamic compaction equipment is controlled to execute the optimized construction instruction to complete compaction operation, and continuous construction is achieved. The method has the advantages that intelligent closed-loop control over the whole dynamic compaction construction process is achieved by combining the digital twinborn body and the real-time data assimilation technology, compaction parameters are adjusted in real time according to the actual response of the soil body in the construction process, the construction effect is ensured, equipment path planning is optimized through the reinforcement learning algorithm, and the construction efficiency is improved. The problem of equipment shutdown standby in a traditional construction method is solved, and the overall efficiency and safety of dynamic compaction reinforcement construction are effectively improved.

This invention provides a method for analyzing the dynamic characteristics of a corrugated sidewall belt lifting system for a ship unloader. The method includes: constructing a fractional derivative viscoelastic model of the corrugated sidewall conveyor belt and establishing the basic dynamic equations of the corrugated sidewall conveyor belt; establishing discrete dynamic equations for the conveyor belt, the drive device, and the tensioning device, and establishing a discrete dynamic model of the corrugated sidewall belt lifting system; establishing continuous dynamic equations for the conveyor belt, setting boundary conditions and initial conditions, and establishing a continuous dynamic model of the corrugated sidewall belt lifting system; solving the discrete dynamic model or the continuous dynamic model of the corrugated sidewall belt lifting system to obtain the acceleration, velocity, and displacement of the corrugated sidewall belt lifting system, thus obtaining the dynamic response of the corrugated sidewall belt lifting system. The use of a fractional derivative viscoelastic model, and the further establishment of a dynamic model, more realistically reflects the dynamic characteristics of the corrugated sidewall belt lifting system at each stage.

The invention provides a multi-rotor aircraft power distribution method and system based on dynamic load perception, and relates to the technical field of aircraft intelligent control. Initializing the system, and loading initial parameters of the aircraft and the power system; collecting flight attitude, rotating speed of each rotor, power consumption and temperature of a motor and control instruction data in real time; estimating the actual thrust of each rotor wing in real time based on the acquired data and a built-in dynamic model; receiving a total thrust and torque instruction sent by a flight control system, and calculating a target thrust sequence of each rotor through an optimization algorithm in combination with the actual thrust estimated by each rotor; converting the target thrust sequence into a control instruction of each motor and issuing the control instruction; real-time state feedback and model updating are carried out, and continuous dynamic optimization of power distribution is achieved. According to the method, the flight energy efficiency, stability and system robustness of the multi-rotor aircraft can be enhanced, and a solid technical support is provided for application of the multi-rotor aircraft in wider fields.

The invention discloses a ship actual load ton continuous dynamic measurement system, which comprises a plurality of measurement devices, a cable, a pulley, a data collector and a data center, and is characterized in that an ultrasonic device and a pressure sensor are integrated in each measurement device. Core measurement components of the device are only an ultrasonic device, a pressure sensor and conventional data collector equipment; the overall cost is low and the economical efficiency is remarkable. According to the invention, the measurement device can be manually and directly controlled to be retracted and released from the ship deck without underwater operation or special hoisting equipment; the folding and unfolding operation is convenient, and the adaptability is high. Data can be collected in real time in the whole cargo loading and unloading process, real-time data support is provided for dynamic regulation and control of loading and unloading operation, and economic losses caused by loading and unloading weight deviation are avoided. According to the invention, a plurality of measuring devices are deployed along the transverse direction of the ship, the data center synthesizes the measurement data of each position, each subtle change of the real load ton is accurately captured, and the accuracy of the measurement data of the real load ton change is improved.

The present application relates to the field of prefabricated component transportation scheduling of assembly type building, and particularly discloses a dynamic transportation scheduling optimization method for prefabricated components with interference of assembly type building, which designs an improved NSGA-II algorithm combining a simulated annealing mechanism and an adaptive strategy; for the multi-objective optimization problem of dynamic transportation scheduling of prefabricated components with interference, the present application combs three types of interference events, i.e., emergency orders, order modifications and vehicle transportation time changes, which occur frequently in the transportation process, and formulates dynamic rescheduling strategies for different disturbance types; in combination with a rolling horizon optimization method, the continuous dynamic scheduling problem is converted into a series of static sub-problems, and then static optimization schemes are adopted in each static process to realize dynamic optimization.

The application discloses a world action model enhancement method and device fusing structured prior and continuous dynamics, wherein the method takes human videos in a first view and a third view as input, constructs scene-event graphs and structured priors such as causality, counterfactual constraints and execution constraints; under weak labeling conditions, performs spectrum analysis on local time sequence features of actions, and jointly encodes the time sequence features and space-time features into latent actions; further, continuous time latent dynamics modeling is introduced into a unified world action model through a neural control differential equation, and joint reasoning is performed on video state changes and latent action recovery in combination with task semantics, structured priors and counterfactual conditions. Finally, long-time rolling error accumulation is inhibited through real observation rewriting, action block generation and asynchronous closed-loop execution, so that the feasibility of weakly labeled video action learning, the rationality of action generation and the stability of closed-loop control are improved.

The invention discloses a continuous dynamic loading system for simulating road ice and snow state evolution under the rolling action of a vehicle, belongs to the technical field of railway detection equipment, and aims to solve the problem that the prior art cannot meet the requirements of continuity, multiple working conditions and high-efficiency simulation in the research of a coupling mechanism of traffic load and ice and snow state dynamic evolution. The device comprises a frame unit, a rotating and loading unit and N simulation wheel units, N is a positive integer, the inner bottom of the frame unit is used for bearing an ice coating and snow coating simulation experiment asphalt pavement, and the rotating and loading unit is installed at the top of the frame unit. The execution end of the rotating and loading unit extends into the frame unit and is connected with the N simulation wheel units located in the frame unit, and the rotating and loading unit is used for synchronously applying working loads to the N simulation wheel units and synchronously driving the multiple simulation wheel units to move on the experimental road surface in the same direction. The system is mainly used as a loading system in a simulation vehicle road surface rolling experiment.

The invention relates to a continuous dynamic control method for the steel feeding time sequence of a rolling mill, and the method comprises a dynamic steel feeding function module which is used for analyzing the pass number and the rolling speed in a target steel grade rolling table to generate a continuously adjustable steel feeding signal; the steel feeding signal is used for controlling the time from a target steel billet to a rolling mill; and the steel feeding time input module is used for setting a steel feeding signal to control the time from the target steel billet to the rolling mill. The method realizes continuous dynamic regulation and control of steel supply time, effectively reduces steel billet waiting time and rolling mill idling loss, and greatly improves rolling rhythm and production benefits.

The invention discloses a three-dimensional boxing method, device and equipment based on a large language model and a storage medium, and relates to the technical field of logistics automation, and the method comprises the steps: constructing an environment model of an online three-dimensional boxing problem, and defining a spatial constraint condition and an optimization target; inputting the current state data, the spatial constraint condition and the optimization target of the environment model into a large language model to generate a boxing strategy code; performing grammar verification and logic verification on the boxing strategy code to obtain a verification result; and iteratively correcting the boxing strategy code according to the verification result, outputting a target boxing scheme, and carrying out boxing according to the target boxing scheme. Dependence on high computing power is avoided by introducing a large language model. And through a grammar and logic dual detection mechanism, the generation scheme is ensured to accord with physical reality. Through iterative optimization of the large language model, continuous dynamic evolution of strategy codes is realized, and the adaptivity and the space utilization rate in a complex scene are remarkably improved.

The application provides a hydropower station tailwater level management method and device, electronic equipment and storage medium, relates to the technical field of water conservancy and hydropower engineering operation optimization and design, and the method comprises the following steps: acquiring multi-source data of a hydropower station; taking ecological data of the hydropower station in the multi-source data as a water power constraint condition or a boundary parameter, inputting the ecological data into a tailwater channel water power characteristic dynamic model, and calculating tailwater level data; constructing a constraint condition, and inputting a tailwater channel management scheme in the multi-source data into a multi-objective collaborative optimization decision engine; wherein the multi-objective collaborative optimization decision engine adopts a double-layer nested optimization architecture, takes discrete tailwater channel management schemes and continuous dynamic tailwater level control sequences as coupled decision variables, takes maximum comprehensive benefit as a target function, iteratively optimizes under the constraint condition, and generates a tailwater level management scheme. The application realizes multi-element collaborative iterative optimization, and solves the problems of single data, non-combination of ecological models and fragmented optimization elements in the prior art.

The invention discloses a dynamic auditing system and method for a digital twin intelligent manufacturing quality system, and the system comprises a physical layer which comprises a production line, manufacturing equipment on the production line, and a sensor network disposed on the manufacturing equipment, and is used for collecting the multi-source real-time data of a manufacturing process; according to the method, the crossing from'periodic static auditing 'to'continuous dynamic auditing' is realized, the deviation in the system operation can be found in time, the sampling risk and human subjective factors are avoided, the auditing conclusion is more objective and comprehensive, the quality risk can be predicted, the early warning is given out before the problem occurs, the conversion from'post correction 'to'pre-prevention' is realized, and the safety of the system is improved. By using a digital thread technology, the problem source can be quickly traced, the problem analysis and decision-making time is greatly shortened, the workload of manual auditing is greatly reduced, the auditing efficiency and precision are improved, and the quality cost is reduced.

This invention relates to the field of dynamic compression-shear test control technology, and discloses a damping adaptive control method and system for a dynamic compression-shear testing machine. The method first identifies the steady-state damping parameter set of the current working condition online to predict the transient damping requirement when the working condition changes, generates a transient damping compensation feedforward control sequence and injects it into the servo valve control loop, and then corrects the damping feedback gain parameter in real time based on the transient damping residual to complete the closed-loop adaptive control. This effectively reduces the transient loading error when the working condition changes, shortens the transient process time, and improves the efficiency and test accuracy of multi-working-condition continuous dynamic compression-shear tests.

This invention discloses a continuous temporal interaction graph representation method and medium. The method includes: acquiring raw dynamic graph data and preprocessing it to obtain structural data, node features, and edge features; partitioning the data to generate a training set, a test set, and a validation set; training a model based on the training set to obtain an initial graph representation model, and testing and validating the initial graph representation model based on the test set and validation set to obtain a final graph representation model; acquiring the dynamic graph to be processed; and outputting the node representation vectors corresponding to the nodes in the dynamic graph to be processed through the final graph representation model. This method can effectively capture the continuous dynamics of node representations and learn their state trajectories, thereby effectively improving the representation ability of inactive nodes and the prediction effect of long-interval interactions.

The invention belongs to the technical field of heat distribution pipeline overhead laying simulation, and discloses a heat distribution pipeline overhead laying simulation system for a cross-sea bridge, which comprises a sea surface simulation module, a pipeline simulation module, a coupling simulation module, a digital twinborn calibration module and a comprehensive decision module, the sea surface simulation module is used for collecting and quantifying multi-source parameters of typhoons, waves and piers at the cross-sea bridge, and finally outputting a spatial continuous power distribution cloud picture; the pipeline simulation module can obtain the average pressure, flow and flow velocity transient change of the whole sea-crossing pipeline on each time step, establish a structural coupling model of the transient change of fluid in the pipeline and the pipe wall, and output the transient flow pressure in the pipeline. Through the high-resolution wind wave field reconstruction of the sea surface simulation module and the accurate capture of the internal transient flow of the pipeline simulation module, the limitation of the traditional steady-state hypothesis is broken through, and the dynamic process of the wind-wave-bridge-pipe multi-coupling effect during the typhoon passing can be truly represented.

A method for calculating the dynamic contact trajectory between the rolling elements and inner and outer raceways of a ball bearing is presented. Based on a ball bearing dynamics model, the method solves the system's dynamic differential equations using a step-size variation criterion to obtain the precise motion state of each bearing component in the time domain. Considering the instantaneous changes in the contact point between the rolling elements and raceways, a spatial mapping relationship is defined between the rolling element's center-of-mass coordinate system and the geodetic coordinate system. Based on simulation data, the rotation matrix R and translation vector t between the two coordinate systems at each moment are calculated. The obtained contact point coordinates are then transformed in real time and unified to the rolling element's center-of-mass reference system, thereby reconstructing the continuous and dynamic contact trajectory between the rolling elements and the inner and outer raceways throughout the entire motion cycle. This invention overcomes the limitations of traditional static contact analysis, accurately simulating the real motion and contact behavior of the rolling elements under different structural parameters and operating conditions, providing an advanced simulation analysis tool for bearing wear mechanism research, fault prediction, and accurate life prediction.

The invention relates to an innovative method designed for detecting vibrations ( chatter phenomenon) in machining operations, combining the extraction of specific frequency characteristics from signal analysis, feeding these last into an Deep Neural Ordinary Differential Equation Networks (Deep Neural ODEs) architecture, and training the model using a pioneering cost function (Dynamic StabilityLoss), in parallel to the dynamic integration of new samples monitoring aimed at early notification in case of vibration detection. Said method employs advanced techniques to enrich the data with critical latent, dynamic frequency information, removing noise and revealing significant vibration patterns. The enriched data are fed into the Deep Neural ODE Network which models the continuous dynamics of the vibrations, detecting microscopic invisible instability-indicating deviations.

Embodiments of the present application disclose a microstructure simulation method and device, electronic equipment and storage medium. The method comprises the following steps: step 1, generating an initial microstructure; step 2, reading a loading condition from a finite element simulation result of a cutting process; step 3, non-continuous dynamic recrystallization nucleation simulation; step 4, continuous dynamic recrystallization simulation; step 5, updating dislocation density; step 6, dynamic recrystallization grain growth simulation; step 7, judging whether a simulation actual time consumption reaches a simulation total time, if the simulation actual time consumption does not reach the simulation total time, repeating steps 3 to 6; if the simulation actual time consumption reaches the simulation total time, stopping the simulation. Through the present application, the technical problem that a microstructure simulation method of a cutting process in the related art ignores a continuous dynamic recrystallization mechanism is solved, and the technical effect that the microstructure evolution behavior of the cutting process can be more accurately simulated is achieved.

The simulation method of the refined naphthalene crystallization production procedure sets the end of each operation step sequence and the start of the next operation step sequence as the trigger event, establishes the blocking queue based on the trigger event according to the expected end time of each operation step sequence, and advances the simulation process through the established blocking queue. The simulation method of the refined naphthalene crystallization production procedure sets the blocking queue based on the trigger event, establishes the simulation process advancing mode based on the blocking queue, and sets the blocking queue in real-time updating mode. The simulation method can realize the continuous and dynamic characteristics of the industrial equipment operation, and can realize the time uncertainty of the event generation, equipment occupation and operation, and can provide a basic platform for the subsequent simulation strategy research and optimization.

The application discloses a railway tunnel dynamic reliability evaluation method of a physical driving time sequence confrontation model. The method establishes a longitudinal mechanical response equation of a railway tunnel, describes the mechanical equilibrium relationship between the bending deformation of the railway tunnel along the longitudinal direction and the external load of the railway tunnel, constructs a physical information driven time sequence confrontation model, embeds the mechanical response equation as a physical constraint into a loss function of the confrontation model, and makes the model maintain mechanical consistency in the confrontation training process. An entropy penalty strategy is introduced into the time sequence confrontation model, effectively alleviates the mode collapse problem, and ensures the diversity of the structure reliability evolution path. The application fuses physical prior knowledge and a time sequence confrontation learning mechanism, realizes continuous dynamic prediction of the reliability index of the railway tunnel in the whole life cycle, simultaneously enhances the robustness of the model to noise, missing values and abnormal fluctuations in the monitoring data, and provides reliable technical support for intelligent operation and maintenance of the railway tunnel.

A motion and process cooperative control industrial information physical system adopts a multi-layer life body type system architecture and modeling and is composed of five layers, namely a man-machine interaction layer, a global intelligent optimization layer, a dynamic reconstruction layer, a hybrid control layer and a physical layer from top to bottom; each layer has a specific function, and the three middle layers (a global intelligent optimization layer, a dynamic reconstruction layer and a hybrid control layer) and all layers under the three layers form a global intelligent optimization ring, a dynamic reconstruction ring and a hybrid control ring, so that multi-layer feedback and optimization are realized; deep coupling of motion control and process control is realized through a dynamic reconstruction ring and a hybrid control ring, and real-time interaction of mechanical motion (such as a multi-axis unit) and process parameters (temperature / pressure and the like) is supported; in combination with discrete Petri net modeling and continuous dynamic equation modeling, adaptive conversion of a system state is realized through discrete-to-continuous mapping and continuous-to-discrete triggering.

The application discloses a kind of visual prediction methods of aluminum alloy continuous dynamic recrystallization microstructure evolution, comprising: obtaining the initial crystallographic statistical information before aluminum alloy is rolled and expanded forming;Calculate multi-scale cell time increment step;According to initial crystallographic statistical information, update the dislocation density of each cell in three-dimensional space, and judge whether the dislocation density exceeds critical dislocation density;Subgrain formation, and calculate small-angle grain boundary migration model;Calculate large-angle grain boundary migration model;Based on small-angle grain boundary migration model and large-angle grain boundary migration model, and update cell state in combination with cell state change rule, judge whether continuous recrystallization occurs;According to deformation condition and updated cell state, realize three-dimensional space continuous recrystallization grain topological deformation visualization.The application is based on physical evolution mechanism to establish cell conversion rule, more accurately reflect the mesoscale microstructure evolution mechanism in the process of aluminum alloy rolling and expansion deformation, realize the visualization of microstructure evolution.

The invention relates to a nonlinear stochastic dynamic model parameter identification method for an aromatic hydrocarbon combined unit, which adopts a stochastic differential equation to describe a continuous dynamic process of the aromatic hydrocarbon combined unit: dx (t) = f (x (t), u (t)) dt + G (x (t)) dW (t) + H (x (t)) d (t) dt, where: dx (t) = f (x (t), u (t)) dt + G (x (t)) dW (t) + H (x (t)) d (t) dt is a state vector; the vector is a control vector; f (.) is a nonlinear drift term and depicts deterministic nonlinear dynamic characteristics in the aromatic hydrocarbon device; w (t) is a d-dimensional Wiener process and is used for describing micro-disturbance continuous random noise; g (.) is a diffusion coefficient matrix and is used for measuring the strength and action mode of continuous random disturbance; h (.) is a disturbance correlation function, reflects the action relation of stochastic disturbance capable of modeling on the device state, and provides reliable model support for optimization operation and advanced control of the aromatic hydrocarbon combination device.

The invention relates to the technical field of hydrology and water ecology, and discloses a river channel and underground water biogenic element exchange capacity simulation method and device.According to the method, multiple transition layers are constructed between underground water and a river channel, and concentration data of biogenic elements of the underground water and the river channel corresponding to multiple sub-time periods divided by a preset time period are combined; and obtaining the biogenic element concentration of each transition layer in each sub-period and the biogenic element total amount of the input river channel step by step by utilizing a Fick spread function, fully considering the continuous dynamic exchange process of biogenic elements between the river channel and underground water in a water body motion state, and finally accumulating the biogenic element total amount of the input river channel in each sub-period to obtain the biogenic element concentration of each transition layer in each sub-period. Obtaining biogenic element exchange capacity of the river channel and the underground water in the target area; meanwhile, the hydrogeological conditions of different drainage basins can be flexibly adapted by adjusting parameters such as the thickness of the transition layer, the layering number and time segmentation, and the accuracy of the biogenic element exchange capacity of the river channel and the underground water obtained through final simulation is remarkably improved.

The invention provides a continuously variable-angle compression corner device and a test method, the continuously variable-angle compression corner device comprises a flat plate, a compression corner plate, a driving mechanism and a measurement system, the driving mechanism drives a lead screw to rotate through a motor, drives a sliding block to move, and pushes the compression corner plate to continuously rotate around a hinge shaft through a connecting rod mechanism to realize dynamic adjustment of the compression corner angle. During a test, the device is arranged in a wind tunnel flow field, the motor, the sensor acquisition and the binocular vision system are synchronously started, and pressure, heat flow and dynamic image data in an angle change process are acquired in real time. The device overcomes the defects that a traditional fixed angle device is low in test efficiency, high in cost and incapable of simulating the dynamic process, multi-angle static and continuous dynamic measurement can be completed through a single test, the structure is compact, the sealing performance is good, and an efficient and accurate test means is provided for research on hypersonic shock wave boundary layer interference.