28 results about "Wave disturbance" patented technology

The invention relates to the technical field of numerical simulation ship response, in particular to a ship hydrodynamic response numerical simulation method and system considering the effects of a complex wave field and an automatic mooring system. Firstly, ship radiation potential and hydrodynamic coefficients are obtained based on a three-dimensional potential flow theory and a boundary element method, and wave field information at a berth is obtained in combination with a Boussinesq wave theory; the time domain wave force is solved through the Haskind-Relation theory, and an automatic mooring numerical model integrated with a PD controller is established to calculate the automatic mooring force and torque; and finally, constructing a ship six-degree-of-freedom time domain motion equation based on the data, and solving by adopting a four-order Runge-Kutta method to obtain a time domain response result. The hybrid Boussinesq-Panel technology is adopted, the wave disturbance evaluation accuracy is improved, the blank that existing simulation does not consider an automatic mooring system sufficiently is filled up, arrangement, parameters and control strategies of the automatic mooring device can be flexibly adjusted and secondarily developed, applicability and flexibility are high, and the method is suitable for large-scale popularization and application. And reliable decision support can be provided for procurement and deployment of automatic mooring equipment of a port.

The invention discloses an intelligent research and judgment method and device for a distribution feeder fault based on traveling wave characteristics. In the operation process of the power distribution feeder line, forming time sequence original sampling data based on a unified time service reference, determining a traveling wave disturbance event and generating candidate traveling wave data; constructing a traveling wave time sequence consistency criterion based on the corresponding relationship between the traveling wave head first arrival time and the unified time service reference, and screening to obtain an effective traveling wave feature set; performing correlation analysis on the effective traveling wave feature set and historical operation feature data of the power distribution feeder to form a target traveling wave feature set; according to the time difference relation between the first arrival time of the wave head of the traveling wave in the target traveling wave feature set, the traveling wave propagation distance is calculated to determine the fault occurrence position, meanwhile, the polarity direction of the traveling wave and the amplitude variation of the traveling wave are integrated, the fault type and grounding characteristics are researched and judged, and a fault research and judgment result is output. According to the invention, the accuracy and reliability of power distribution feeder fault positioning and type identification can be effectively improved.

The invention belongs to the technical field of flight dynamics modeling in aircraft design, and particularly relates to a dynamics modeling method for an overwater tilting wing aircraft. Comprising the following steps: step 1, modeling a wing section based on a blade element theory, dividing an unmanned aerial vehicle into three parts including a propeller, the wing and a fuselage, and carrying out an experiment or CFD calculation to obtain aerodynamic data; 2, geometric parameters of a wing micro-section, a control surface, a propeller and a wing tilting shaft are obtained; 3, calculating wing aerodynamic force, propeller aerodynamic force and fuselage aerodynamic force according to the aerodynamic force data and the geometric parameters; 4, hydrodynamic force is calculated, and the hydrodynamic force comprises buoyancy, inertia force and wave disturbance force.

This invention relates to the field of AUV motion control technology, specifically disclosing a three-dimensional autonomous docking control method for AUVs based on Fourier regularization and reward shaping. The method includes: establishing a five-degree-of-freedom kinematic and dynamic model of the AUV, defining the thruster thrust and rudder angle as a continuous motion space; constructing wave disturbance and ocean current disturbance environment models, simulating the real ocean environment based on wave spectrum theory and the Morison equation; establishing the geometric relationship and success constraints for AUV three-dimensional docking, defining the docking relative distance, axis deviation, and attitude mismatch; this invention, through a combined reward shaping and Fourier regularization mechanism, achieves a high final docking success rate in various harsh ocean environments such as wave disturbance, ocean current disturbance, and combined disturbances. Directional reward guidance enables the strategy to converge rapidly to the optimal solution, while frequency domain regularization ensures the accuracy of value approximation. The synergistic effect of these two mechanisms allows the controller to output precise thrust and rudder angle commands, satisfying both position and attitude constraints in three-dimensional docking.

This invention discloses a method and system for estimating the depth of an underwater vehicle in near-surface operating conditions. The method includes the following steps: establishing a mathematical model of the underwater vehicle's depth channel; designing a state observer based on the mathematical model; calculating the average depth measurement value for each cycle; calculating the rate of change of the state observer's gain; updating the gain and performing adaptive adjustment; and updating the depth estimate. This invention designs a method for estimating the near-surface depth of an underwater vehicle under wave disturbance conditions based on the principle of the state observer, namely, adaptively adjusting the observer gain to complete the data filtering estimation of the depth channel.

This application relates to the field of offshore wind power safety monitoring technology, and discloses an earthquake early warning system based on the CZ1 Huaneng offshore wind power plant. The system includes dual-channel sensing units deployed at wind turbine nodes. Each sensing unit is configured to monitor T-wave disturbances in parallel through an active TDR detection channel and a passive harmonic sensing channel. A central early warning unit is configured to receive trigger signals and perform dual verification. First, the central early warning unit performs cross-channel coherence verification, requiring signals from the two channels from the same sensing unit to be triggered synchronously within a preset time window to filter out incoherent noise. Second, the central early warning unit performs array spatiotemporal coherence verification on verified credible events, fitting their spatiotemporal distribution to a wavefront propagation model to eliminate spatially incoherent local interference. This invention, through dual-channel orthogonal sensing and dual spatiotemporal coherence verification, eliminates interference at both the single-point and array levels, reduces the false alarm rate, and improves the reliability of early warning.

The present application relates to the field of ship propulsion device control, more particularly, the present application relates to a ship propulsion motor control method based on back electromotive force estimation, the method comprises: calculating the rate of change difference based on the stator multiphase current data and the original torque instruction, and extracting the wave disturbance characteristic value representing the transient impact intensity of sea waves; the first ratio of the sum of the characteristic value, the rated phase voltage and the anti-zero constant is used to dynamically widen the cutoff frequency, and the initial estimated phase angle and the actual electrical angular velocity are obtained in combination with the frequency; the first ratio is used to compensate the phase compensation angle to offset the hardware delay error, and the final rotor electrical angle is obtained by addition; the first ratio is used to construct the damping coefficient to attenuate and soften the original torque instruction, and the final control torque with flexible buffering capacity is obtained and converted into the bottom driving signal. The present application eliminates the observation phase lag phenomenon in severe sea conditions, realizes the intelligent flexible unloading mechanism, and prevents the rigid fracture of the transmission shaft system.

The invention discloses an active yaw control method of a multi-impeller floating type wind generating set and related equipment. The active yaw control method comprises the steps that the incoming flow wind direction and the real-time azimuth angle and the motion state of a floating type platform are monitored in real time or periodically; filtering or state estimation processing is carried out on the real-time azimuth angle of the floating platform to filter out high-frequency oscillation components induced by waves, and an estimated azimuth angle reflecting the average yaw attitude of the floating platform is obtained; determining a target azimuth angle of the floating platform according to the incoming flow wind direction, and calculating a deviation angle between the estimated azimuth angle and the target azimuth angle; when the deviation angle exceeds a preset threshold value, according to the deviation angle and the environmental disturbance influence, generating a rotating torque control instruction used for driving the floating platform to rotate around the single-point mooring system; according to the rotation torque control instruction, at least one propeller installed on the floating type platform is controlled to generate thrust so as to drive the floating type platform to rotate till the deviation angle is reduced to be within a preset threshold value. The invention aims to realize quick, accurate and cooperative yaw control in the multi-impeller floating type fan, avoid the adoption of a complex and heavy independent yaw mechanism and inhibit the influence of wave disturbance on the yaw precision.

The invention discloses an FLNG-LNGC combined loading and unloading operation control method and system based on real-time working condition feedback, and the method comprises the steps: firstly constructing a system state space with time-space synchronization, and collecting the time calendar of a wave field and the motion response of a ship body; and reconstructing an instantaneous wave energy spectrum, resolving ship body modal parameters, and calculating a frequency detuning safety factor. When the resonance risk exists, the system executes asymmetric loading path planning based on frequency detuning optimization, and the rotational inertia of the ship body is changed by adjusting cabin flow distribution so as to shift the inherent frequency; and meanwhile, a gas-liquid coupling active suppression instruction containing variable stiffness pressure modulation and pulse momentum damping is generated, the recovery stiffness is changed through gas phase pressure, and damping torque is generated through fluid momentum. And finally, the instructions are synthesized to drive an execution mechanism. Active regulation and control of ship body modal frequency and instant dissipation of wave disturbance are achieved, the resonance risk is effectively reduced, and the stability of double-ship operation under the severe sea condition is improved.

The application discloses a visual-IMU fusion pose solution method for wave compensation of a wind power operation and maintenance ship, the method uses a visual-IMU sensor as a wind power operation and maintenance ship pose detection device, wave disturbances of six degrees of freedom, including cross sway, longitudinal sway, heave, roll, pitch and yaw, are collected by the pose detection device, six-degree-of-freedom wave compensation values required by a wave compensation platform are calculated, and compensation is carried out. The application uses an IMU and an RGB-D camera fusion mode to detect the six-degree-of-freedom pose of the ship, can effectively solve the problem that a single IMU sensor cannot accurately solve three degrees of freedom displacement, such as cross sway, longitudinal sway and heave, and thus full compensation of wave disturbances of six degrees of freedom is realized.

The present application belongs to the technical field of deep-sea product logistics, and particularly relates to a self-adaptive steady-state device and method for live fish transfer under high sea conditions. The device comprises a modular outer frame, a pneumatic variable-volume anti-sloshing air bag arranged at the top of the frame, a six-degree-of-freedom active wave compensation base connected to the bottom of the frame, an integrated life support system in communication with the inside, a multi-modal perception sensor group arranged in the cabin, and an edge computing controller. The method comprises actively offsetting the hull motion through the wave compensation base, eliminating the free surface through the inflatable air bag to suppress sloshing, and intelligently adjusting the operating parameters of the life support system based on the images, sonar and water quality data collected by the sensors. The present application realizes closed-loop control from physical isolation of wave disturbance to intelligent maintenance of fish physiological steady state, effectively ensuring the safety and low-stress transfer of live fish under harsh sea conditions.

The invention provides an unmanned ship berthing path tracking control system and method in a narrow water area of a port, and the system is characterized in that a convolutional neural network module is used for carrying out the feature extraction of historical path data, generating a reference path point, and taking the reference path point as the input of a controller; the nonlinear model prediction control module is used for optimizing and solving the motion state of the unmanned ship according to the generated reference path point, so that the unmanned ship is gradually converged to the reference path; and the rolling time domain estimation module is used for correcting state estimation of the nonlinear model prediction control module by using historical observation data, so that the robustness of wind wave disturbance and measurement errors is improved, and high-precision, stable and safe berthing path tracking control of the unmanned ship in a narrow water area of a port is realized. Under the conditions of low speed, shallow water and complex port disturbance, the motion state of the ship can be accurately predicted, the course and propulsion control can be optimized, the unmanned ship can be stably berthed along the reference track with high precision, and the port berth scheduling efficiency and the operation safety are improved.

This invention discloses a method for hoisting steel anchor boxes with variable spacing for cable-stayed bridge towers across the sea, belonging to the field of bridge engineering. To address the challenges of short working windows at sea and the low precision, efficiency, and slowness of traditional methods, this invention constructs an integrated intelligent hoisting system. By deploying visual markers and positioning anchor points on the tower columns and steel anchor boxes, and combining differential satellite positioning, inertial measurement units, and other multi-source sensors, the precise pose of the steel anchor boxes is calculated in real time under a unified spatiotemporal reference. Artificial intelligence algorithms are used to predict the dynamic trajectory of sea conditions, the ship's hull, and the hoisting process, and a model predictive controller generates crane linkage compensation commands to dynamically suppress wind and wave disturbances. During the near-field installation phase, the system performs trajectory fine-tuning and anti-collision control based on a segment gap database; finally, a three-way hydraulic jack completes millimeter-level precise alignment and locking. This invention achieves an integrated closed loop of perception, prediction, control, and fine-tuning, significantly improving installation accuracy and efficiency, and shortening the time spent at sea.

This invention provides a method for predicting linear wave loads in ship structural design, relating to the field of ship engineering structural design technology. Based on optimized Latin hypercube sampling and three-dimensional potential flow calculation, this invention constructs a dataset of hydrodynamic pressure fields and load components under regular wave conditions. It extracts the basis function system and establishes a linear mapping relationship between the combination coefficients and the loads. For irregular wave sea states, it interpolates to determine the state transition matrix and control matrix. Combined with the main wave disturbance force, it performs a time-series recursion of the combination coefficients, triggering local transient calculations at preset intervals, and performing sparse verification corrections on the recursive state. Finally, it outputs the load history in real time through the mapping relationship and statistically analyzes the extreme values ​​to generate a wave load design parameter table. This method replaces full-order solutions with low-dimensional recursion, triggering a small number of full-order verifications at preset intervals. While maintaining prediction accuracy comparable to full-order solutions, it significantly reduces computation time, providing efficient and reliable load input for ship structural design.

The invention relates to the technical field of ship hoisting control, in particular to a ship hoisting hydraulic active wave compensation system, which adopts the technical scheme that a complete technical chain including ship motion sensing, hoisting state monitoring, multi-source information fusion and motion prediction, self-adaptive nonlinear control, hydraulic actuating mechanism driving and system health management is constructed; high-precision and strong-robustness active compensation of wave disturbance in ship hoisting operation is realized; by adopting the multi-sensor fusion and long-short-term memory neural network prediction technology, the influence of sensor noise and signal delay on the system performance is remarkably reduced; a self-adaptive nonlinear control strategy based on a Lyapunov direct method effectively overcomes the control difficulty of dynamic nonlinearity and parameter uncertainty of the hydraulic system; the integrated system health management module realizes real-time monitoring of performance indexes and fault self-adaption, and through online parameter calibration and degradation control mode switching, the reliability of the system is greatly improved, and the service life of the system is greatly prolonged.

The application discloses a ship Z-shaped navigation guidance and control method based on line-of-sight guidance, and belongs to the technical field of water surface ship transportation under severe sea conditions, and comprises the following steps: establishing a ship motion mathematical model; adding a wind and wave disturbance factor in the ship motion mathematical model to obtain a ship motion model under severe sea conditions; adopting a third-order closed-loop gain shaping algorithm to design a preliminary controller; introducing a nonlinear composite function into the preliminary controller to realize ship course keeping control, and combining a nonlinear feedback and a nonlinear embedding method to optimize the preliminary controller to obtain a final controller; designing a Z-shaped navigation guidance strategy based on the line-of-sight guidance algorithm, so that the ship navigates along a Z-shaped route under severe sea conditions; and adjusting a new course distance to adjust a route point, which is used to make the ship quickly return to a planned route when the severe sea conditions are recovered to normal sea conditions. The application has influence on improving the safety, reliability and intelligence of the ship.

The application provides a four-rotor unmanned aerial vehicle three-dimensional trajectory tracking control method for sea surface wind wave disturbance, and belongs to the field of trajectory tracking control. The method establishes a four-rotor six-degree-of-freedom dynamics simulation model and adopts a fourth-order Runge-Kutta method to update the state; a multi-unmanned aerial vehicle three-dimensional reference trajectory generation mechanism is constructed; a six-dimensional comprehensive disturbance model containing wave-induced vertical force, gust horizontal force and attitude disturbance torque is established; a PID control law based on position / velocity error is designed in the outer loop, the desired acceleration is generated by combining gain gradual entry and integral anti-windup; an attitude controller is designed to output three-axis torque, and disturbance observation compensation is introduced to improve the anti-disturbance performance; comparative simulation is carried out under different sea state levels, and three-dimensional tracking error and control input are output to verify the control effect.

The application discloses an unmanned ship trajectory tracking method based on a flow matching learning dynamics model, which comprises the following steps: generating a large amount of virtual trajectory data sets on a physical simulation platform; cutting the data sets into time sequence samples and inputting the time sequence samples into a flow matching dynamics network to train a continuous probability flow objective function by minimizing the difference between a predicted velocity field vector and a target velocity field vector; performing parallel inference by using the trained flow matching dynamics network to generate a multi-modal prediction trajectory set covering future various environmental uncertainties, and then integrating the multi-modal prediction trajectory set into a comprehensive cost evaluation system to perform cost integral evaluation and rollingly output optimal physical control instructions. The flow matching dynamics network accurately depicts the multi-modal probability distribution of trajectory evolution under complex wind and wave disturbance, completely breaks through the limitation that a traditional deterministic model cannot cope with high random sea conditions by means of 'point estimation', and enables the unmanned ship to maintain stable trajectory tracking control even when facing extreme harsh working conditions outside the distribution.

The present disclosure provides a kind of full-automatic intelligent unmanned ship system for artemia egg fishing, applied to double-hulled unmanned ship, comprising: buoyancy adjustment and control module, for real-time acquisition wave disturbance information and ship body buoyancy state, dynamically adjusts the distribution of ballast water volume of left and right float of ship body;Attitude perception and compensation control module, for monitoring the attitude deviation of ship body, drive the angle adjustment support of fishing assembly into water to carry out reverse compensation and locking;Hydraulic buffer and slow-release control module, for controlling the speed and acceleration of fishing net bag lowering, realize the buffer soft entry of net bag;Depth determination and stable locking module, for determining whether net bag reaches target depth, calculate locking torque after reaching, and drive hydraulic locking device, and stabilize fishing assembly at target depth;Flow screening and collection execution module, for guiding, screening and automatically collecting artemia eggs, through multi-module closed-loop control to realize full-process optimization, improve the environmental adaptability and operation stability of system.

The invention discloses a self-impact sealing reliability test device suitable for ocean working condition simulation. The self-impact sealing reliability test device comprises a test bed supporting and fixing device, an underwater driving shaft working condition simulation device, a self-impact sealing high-pressure underwater environment simulation device and a wave disturbance simulation device. The test bed supporting and fixing device comprises horizontal iron, a reservoir is arranged above the horizontal iron, and a vibration table is arranged between the reservoir and the horizontal iron; the self-impact sealing high-pressure underwater environment simulation device comprises a compressor and a high-pressure sealing cavity, and a self-impact sealing device is arranged in the high-pressure sealing cavity; two sides of the high-pressure sealing cavity are connected with first and second leakage cavities; the underwater driving shaft extends into the reservoir and penetrates through the first leakage cavity, the high-pressure sealing cavity and the second leakage cavity, and the tail end of the underwater driving shaft is connected with an underwater propeller; the underwater driving shaft drives the underwater propeller to rotate; the wave disturbance simulation device is installed in the reservoir. According to the invention, ocean working conditions can be simulated, and stress loads such as vibration, torque, high pressure, wave disturbance and the like are applied to the self-impact sealing device under the ocean working conditions.

The invention provides a four-rotor unmanned aerial vehicle three-dimensional trajectory tracking control method facing sea surface wind wave disturbance. The method belongs to the trajectory tracking control field. The method comprises the following steps: establishing a four-rotor six-degree-of-freedom dynamic simulation model and updating a state by adopting a fourth-order Runge-Kutta method; constructing a multi-unmanned aerial vehicle three-dimensional reference trajectory generation mechanism; establishing a six-dimensional comprehensive disturbance model including wave-induced vertical force, gust horizontal force and attitude disturbance torque; designing a position / speed error-based PID control law of an outer ring, and combining gain gradual-in and integral anti-saturation to generate an expected acceleration; designing an inner ring attitude controller to output a three-axis torque, and introducing disturbance observation compensation to improve the anti-interference performance; and performing comparison simulation under different sea condition levels, and outputting a three-dimensional tracking error, control input and the like to verify a control effect.

This invention discloses a predictive control method and system for shore power wireless charging based on a digital twin model, relating to the field of shore power access for berthed vessels. The method first constructs a digital twin model of the target vessel, including a vessel kinematics sub-model, a wave disturbance sub-model, and a coupling coefficient mapping sub-model. Real-time motion attitude data and environmental wave data of the target vessel are acquired. The acquired data is then input into the digital twin model to map the coupling coefficient change trajectory. Finally, the coupling coefficient change trajectory is used as a feedforward quantity, combined with current electrical state parameters, to construct a model predictive control optimization problem. The optimal control quantity sequence is solved, and the first control quantity is output to the shore power wireless charging device to compensate in advance for the impact of coil offset caused by vessel motion on transmission efficiency. This achieves accurate prediction and proactive compensation for coupling coefficient changes caused by vessel motion, significantly improving the transmission efficiency and dynamic stability of shore power wireless charging.

Ship navigation faces a complex and changeable marine environment, and comprehensive understanding of the maneuverability of a ship is crucial. An accurate ship motion model is established to comprehensively and meticulously describe the operation characteristics of the ship, an operator can predict the dynamic behaviors of the ship in advance according to the motion model, effective operation measures are implemented, dangerous accidents such as out-of-control and collision of the ship are prevented, and the ship navigation safety is guaranteed. However, the motion model comprises numerous key parameters such as hydrodynamic derivatives and quality parameters, and the key parameters directly influence the prediction precision and prediction capability of the model on the actual motion state of the ship. For the determination of key parameters, the parameter identification theory is an efficient and economical solution. A local sensitive least square support vector machine method is researched, the parameter importance of a nonlinear motion mathematical model is analyzed by adopting a local sensitive analysis method, and the identification accuracy and efficiency of the least square support vector machine are improved. The invention aims to realize effective identification of parameters by using the estimation method for rapidly identifying ship control motion model parameters under wave interference.

The self-disturbance control method of unmanned surface vehicle with propeller power firstly establishes the dynamics model of unmanned surface vehicle, then analyzes the force model of unmanned surface vehicle, estimates the force and torque of wind and wave, current disturbance, real-time feedback of the motion state change of unmanned surface vehicle, and uses the extended state observer to observe the unmodeled part and uncertainty part in real time. Based on the self-disturbance control method, the control law is designed, and the wind and wave disturbance and the change of the center of gravity are added in the propeller control law. When encountering external environmental disturbance and uncertainty disturbance, it can compensate in time to realize stable navigation. Compared with the existing attitude control scheme, the navigation control performance of unmanned surface vehicle can be improved, which is more suitable for actual navigation process.

The application discloses a typhoon wave field fast extraction method based on improved wind field and anti-wave age discrimination, relates to the technical field of marine environment monitoring and marine big data processing, and comprises the following steps: obtaining and preprocessing tropical cyclone trajectory and sea wave field data; an improved Holland model is used to construct an asymmetric corrected wind speed field; the cyclone center is taken as a benchmark to divide a peak wave height area, an anti-wave age identification area and a normal wave background area; the anti-wave age index is calculated in the anti-wave age identification area and compared with a multi-year climate statistical threshold value to determine a typhoon wave expansion influence area; the peak wave height area and the expansion influence area are combined to output a typhoon wave influence range mask, an effective wave height field and a spatial asymmetric distribution result. The application does not need high-cost sea wave numerical simulation, can efficiently retain the asymmetric structure of the typhoon wave, reduces the calculation cost, is suitable for large sample long time sequence wave statistical analysis, and can effectively distinguish the background wave disturbance in the near shore and marginal sea, and is stable and robust and has strong result interpretability.

The invention relates to the technical field of hydrological monitoring and satellite navigation, and discloses a real-time ocean water level measuring method based on GNSS signals. The method comprises the following steps: synchronously acquiring a GNSS observation value, Beidou PPP-B2b and Galileo HAS correction signals and water body temperature and salt data through a buoy; carrying out real-time precise single-point positioning to obtain the geodetic height of the GNSS antenna; solving a three-dimensional speed and an accelerated speed by using an epoch difference technology, and inverting a buoy attitude angle; correcting a buoy static draft lever arm vector in fresh water by combining a buoyancy principle to obtain a current buoy draft lever arm vector in seawater; carrying out spatial transformation by combining the attitude angle to obtain an instantaneous water surface elevation; and after averaging through the sliding window, outputting a smooth water level value and returning. A shore-based base station is not needed, wide-area real-time centimeter-level water level measurement is achieved, system errors caused by density changes are eliminated through temperature-salt compensation, wave disturbance is effectively restrained, and the method has the advantages of being low in cost, high in precision and high in automation degree.

The application relates to the technical field of wind and wave combined power generation, and discloses a floating wind and wave combined power generation system fault-tolerant control method based on a robust strategy iteration, which comprises the following steps: collecting wind, wave disturbance, actuator force input signal and platform state response data under healthy / fault conditions; pre-processing original data, and establishing a data set according to control and observation requirements; using the collected data to carry out off-line training of an observer and calculation of controller parameters; iteratively optimizing a current control strategy through interaction between a control algorithm and a controlled system; and connecting the control strategy to a combined power generation system to realize fault monitoring and fault-tolerant control of the floating wind and wave combined power generation system. Through the above method, data-driven fault-tolerant control of the wind and wave combined power generation system can be realized, the reliability and utilization rate of the wind and wave combined power generation system are improved, and the risk of platform instability caused by faults is reduced.

The application provides a kind of based on machine vision's digital twin model correction method and system. Among them, the method comprises: constructing comprehensive data set by collecting sounding data, tidal flow rate data and unmanned aerial vehicle image, eliminating wave disturbance deviation and water surface reflection distortion based on geometric feature matching, generating dynamic compensation coefficient combined with tidal parameters;After correcting the time deviation of the sounding data, the dynamic correlation between the terrain elevation and the sediment migration rate is calculated, a digital twin model that integrates sediment layer thickness distribution and tidal flow driven erosion boundary prediction is established, and a visual terrain surface is generated;Through the reverse verification of real-time sediment accumulation characteristics and terrain surface, the migration rate weight parameter is adaptively adjusted to realize dynamic optimization of the model. The application realizes high-precision dynamic coupling simulation of sea terrain evolution and sediment migration, improves the real-time performance and reliability of island surface change prediction, and supports the safety and economic collaborative decision-making of coastal zone.