341 results about "Wind field" patented technology

The application provides a wind field measurement method and system based on a wave glider laser wind radar, comprising: measuring a wind field radial velocity based on a laser wind radar carried on a wave glider platform, measuring attitude data by an IMU, and measuring speed data by a GPS; obtaining an installation external parameter of an optical axis of the laser wind radar relative to a ship body of the wave glider platform through installation calibration; fusing and solving the attitude data measured by the IMU and the speed data measured by the GPS to obtain attitude angles and motion parameters of the wave glider platform; performing attitude compensation on the wind field radial velocity according to the attitude angles and the installation external parameter to obtain a real measurement direction, and performing motion compensation on the wind field radial velocity in the real measurement direction according to the motion parameters; performing vector inversion and height mapping on the wind field radial velocity after the motion compensation to obtain a wind profile. The application realizes high-precision measurement of an air wind field above a sea surface to a height of 2 km.

This invention provides a method, apparatus, and device for generating marine meteorological data, relating to the field of data processing technology. The method for generating marine meteorological data includes: acquiring identification observation data and numerical simulation data of marine meteorological observation data; interpolating the numerical simulation data onto a preset target grid to generate interpolated wind field data; generating corrected wind field data based on the interpolated wind field data and the identification observation data; generating simulated ocean wave data based on the corrected wind field data; generating corrected ocean wave data based on the simulated ocean wave data and the identification observation data; and encoding the corrected wind field data and the corrected ocean wave data into target marine meteorological data. This invention achieves the fusion of autonomous observation data and numerical simulation data, and efficiently generates high-precision auxiliary meteorological data that meets the input requirements of marine satellites.

The application discloses a kind of arbitrary pulsating wind field active control wind tunnel physical simulation method and system, comprising: establishing generalized pulsating wind field spectrum model, it has 6 controllable pulsating wind spectrum in the energy distribution model parameter of frequency domain;Based on generalized pulsating wind field spectrum model, inter-spectrum matrix is calculated using coherence function;Based on harmonic superposition method, inter-spectrum matrix is converted into pulsating wind field space-time information;Pulsating wind field space-time information is introduced into the control program of active control wind tunnel, through real-time monitoring and iterative adjustment model parameter, until the target wind field generated reaches expectation.The application can simulate wind field with arbitrary frequency energy distribution by generalized pulsating wind field spectrum model with 6 model parameters, combined with iterative closed-loop control, significantly improve the simulation accuracy and adaptability of complex wind field such as mountain valley wind, typhoon.

This invention discloses a wind-field-based energy-efficiency optimization navigation method for unmanned aerial vehicles (UAVs), comprising the following steps: Step 1, constructing a coupled model of UAV dynamics, wind field, and energy consumption; Step 2, global spatiotemporal planning and task decomposition; Step 3, constructing a reinforcement learning decision model; Step 4, local decision-making and flight control. This invention employs a spatiotemporal task decomposition method based on the 4D A* algorithm, introducing a time dimension into the three-dimensional space, breaking through the limitations of static environments in traditional planning. By decomposing long-endurance tasks into short-range sub-tasks, it solves the problems of sparse rewards and convergence difficulties in end-to-end reinforcement learning, significantly improving training efficiency. The reinforcement learning control strategy using acceleration output eliminates redundant trajectory optimization steps, significantly improving response speed under sudden wind field changes. Combined with a composite reward function that includes wind field utilization and terrain constraints, it balances low energy consumption and high safety during local flight.

The application discloses a kind of wind turbine single blade installation process dynamic response analysis methods considering wind load action, comprising: according to the wind turbine blade installed and construction sea area, establish blade airfoil database and turbulent wind field database;When the position of lifting point and the position of tappet vertex are described, homogeneous transformation matrix is used to describe the motion of each mechanism of ship-mounted crane;When the position of lifting point is described, the position of tappet vertex is described, and the position of blade centroid in space is described by lifting point position, sling length and generalized coordinate;Wind load at each time point in the process of blade installation is obtained;The sling tension in the process of blade installation is obtained;The dynamics model of single blade installation system is established by using Lagrange method;The method can accurately analyze the coupling motion response between crane ship, ship-mounted crane, sling and blade in the installation process, and simultaneously by selecting generalized coordinate and modeling and analyzing the system based on energy method, the system modeling efficiency is effectively improved.

This invention discloses a method for inverting sea surface wind speed from GNSS reflected signals based on mask perception and image-based Mamba-CNN. The method includes: performing spatiotemporal matching and interpolation processing on multi-source spaceborne GNSS-R observation data and ERA5 reanalysis data; gridding the processed observation parameters according to geographical location to obtain a multi-channel grid image and acquiring a binarized occupancy mask; inputting the multi-channel grid image and the binarized occupancy mask into a mask perception Mamba-CNN model; calibrating the grid features through a mask conditional encoder and a feature linear modulation layer, and performing spatial modeling using feature extraction blocks combining convolutional and Mamba state space paths to obtain the wind speed inversion result; aggregating the extracted features using center-perception pooling, and outputting the final sea surface wind speed inversion image through a regression network. This invention can significantly reduce computational complexity, effectively reconstruct the continuous wind field structure, and improve the inversion accuracy and robustness in high-wind-speed areas.

This invention discloses a method and system for configuring and restoring flexible resources and mobile energy storage in a power distribution network, belonging to the field of smart power distribution network technology. Based on a typhoon wind field and wind and rain load model, this invention constructs a time-varying failure rate for power lines and uses Latin hypercube sampling to generate a set of failure scenarios. Typical scenarios are obtained through scenario reduction. Based on the failure scenarios, in the pre-disaster stage, the invention identifies the deployment locations of smart soft switches (SOPs) and mobile energy storage systems (MESSs) that minimize the sum of pre-disaster investment costs and post-disaster recovery period weighted load shedding costs. In the post-disaster stage, time-varying accessibility constraints are constructed based on road travel time preprocessing results, establishing a collaborative recovery model that includes SOP operation, network reconfiguration, and MESS time-varying scheduling. This invention, based on the collaborative configuration and post-disaster control of flexible resources and mobile energy storage, effectively reduces the configuration cost of the power distribution network while improving its support and recovery capabilities in the face of extreme disasters such as typhoons.

This invention relates to the fields of wildfire monitoring, computer vision, and digital twin technology. It proposes a method and system for real-time wildfire spread simulation using digital twins and dynamic parameter inversion. The method dynamically inverts the surface combustible moisture content through white balance adaptive correction and HSV color feature extraction; maps physical camera parameters to a virtual camera; and uses a spatial ray casting algorithm and a digital elevation model to calculate the three-dimensional geographic coordinates of the fire point; it determines the wildfire spread direction by weighting the wind field vector and the maximum upslope vector in real time; it calculates the true slope of the dynamic path by taking points forward from the fire point as the starting point and using the grid accuracy of the digital elevation model as the step size; and it inputs the dynamic parameters into the wildfire spread model for simulation to generate the fire spread boundary. This invention significantly improves the physical realism and practical accuracy of wildfire spread simulation in complex environments through virtual-real fusion and physical correction mechanisms.

This application discloses a method, apparatus, equipment, and medium for fusing atmospheric boundary layer wind speed data based on a hybrid-system wind-measuring lidar, relating to the field of computer technology. The method includes: simultaneously acquiring coherent wind measurement data and direct sounding wind data currently measured by the hybrid-system wind-measuring lidar during atmospheric boundary layer wind field observation; performing spatiotemporal registration and preprocessing on the coherent wind measurement data and direct sounding wind data; fusing atmospheric boundary layer wind speed data based on the preprocessed wind measurement data and a current preset fusion model to obtain the current fused target wind speed data; the preset fusion model is a model constructed based on a heterogeneous dual-branch deep neural network; and determining the target atmospheric boundary layer wind profile based on the hybrid-system wind-measuring lidar and the target wind speed data. This application can achieve high-precision wind profile fusion, improving the accuracy, precision, and environmental robustness of atmospheric boundary layer wind speed data fusion.

This invention proposes a two-stage super-resolution reconstruction method and system for three-dimensional downscaled wind fields in bridge sites with complex terrain. First, the invention utilizes a WRF model and explicitly enables large eddy simulation to construct a high-fidelity training set. To build a spatially three-dimensional reconstruction result, the invention extracts dynamic meteorological sequences and static geographical features for different feature height layers. After filtering out invalid regions using a mountain occlusion mask matrix, three parallel cascaded reconstruction models are independently trained to significantly improve the real-time performance of data acquisition. The model training innovatively integrates terrain-forced physical loss and frequency domain energy constraints. Finally, the two-dimensional reconstruction results from each height layer are combined in vertical space to construct a high-precision three-dimensional microscale meteorological field ensemble, providing reliable technical support for three-dimensional wind energy resource assessment and bridge health monitoring in complex terrain.

This invention proposes a method and system for electrothermal coordination overload control of grid-connected wind power systems. The method involves acquiring current measurements of the transmission components and wind farm of the grid-connected wind power system; predicting wind speed based on meteorological data; obtaining the temperature of the transmission components; and predicting the active power of the wind farm within a set time step of the current control cycle. Considering the predicted wind speed, transmission component temperature, and wind farm active power, an optimization problem is established based on the electrothermal coordination model of the grid-connected wind power system. Process-oriented electrothermal coordination control is then implemented to ensure that the temperature of the grid-connected line does not exceed limits during overload control. The optimization problem is solved under constraints to determine the optimal control sequence. The active power of the first wind farm group in the optimal control sequence is applied to the current wind farm's power generation control. This invention uses the maximum allowable temperature of the transmission components as a limit to dynamically coordinate and continuously optimize the wind farm output and the temperature of the external transmission components in the grid-connected system. Compared to traditional overload control methods, this method can further tap the overload potential of the external transmission components, which is beneficial for alleviating the contradiction of wind energy consumption.

The utility model relates to a general type wind field test platform, including platform frame, wind field mounting panel, wind field roof, wind field side plate, wind field spare, wind field pipeline, fan, anemograph, the wind field mounting panel installs in both ends of platform frame, the wind field roof installs in platform frame top, the wind field side plate is movably installed on platform frame, and the wind field spare is fixed on the wind field mounting panel and is connected wind field pipeline, and the wind field pipeline connects the fan, and the anemograph can be installed on the different position of platform frame. The utility model discloses through adjusting the position of wind field side plate on platform frame, and then replacing wind field mounting panel and replacing installation position, can obtain different amplitude, can be applicable to a variety of amplitude wind field test, can evaluate the uniformity effect of wind field in actual printing, has higher commonality, greatly reduces production cost, and provides support for wind field data acquisition.

The application discloses a wind field reconstruction and prediction method and device, electronic equipment and storage medium, and belongs to the technical field of wind field data processing. The method comprises: uniformly encoding historical wind speed data and real-time wind speed data of multiple height layers, so that the model can mine the vertical coupling linkage relationship between wind fields at different height layers and the time evolution law of the wind field; geometric prior information and observation masks are introduced, so that the model can complete wind field flow constraint analysis combined with regional building layout and divide the measured data area and the blank reconstruction area; when the model finally completes global wind field deduction based on multi-dimensional fusion features, not only the accuracy of the wind field reconstruction result is improved, but also multi-step fine wind field prediction is realized, the disadvantages of single wind field deduction dimension, lack of environmental constraints and insufficient prediction accuracy of the traditional technology are solved, and the actual needs of fine wind field reconstruction and short-term accurate wind field prediction in a complex building group scene are met.

The application discloses a wind power generation site selection method based on ancient storm deposition background and relates to the field of power generation site selection, which comprises the following steps: setting a unified space reference, forming an input data set, performing wind source basin assimilation fusion, generating modern wind field three types of grids, and configuring a modern wind field deposition response calibration reference domain. Long-term wind direction and wind speed prior are established by using storm deposition records and direction evidence, annual uncertainty caused by only relying on short-term wind measurement is reduced, hard constraint filtering is formed by using soft sediment deformation risk coding and boundary stability marking, a penalty term is introduced into scoring, ground investigation and construction stage risks are reduced, candidate area output synchronously gives evidence chain index and uncertainty level, short-term wind measurement review, ground investigation review and deviation backwriting self-calibration iteration are performed, and finally, site selection achievement package containing superimposed graph and evidence chain list is solidified, so that site selection decision transparency and landing efficiency are improved.

The application discloses a kind of typhoon working condition under fan fatigue damage fast evaluation method and device, belong to wind turbine state evaluation field.The method is first set up the turbulence intensity of typhoon turbulent wind field, average wind speed range and power spectrum and space coherence model type, obtain multiple sets of wind speed characteristic combination parameters, using turbulent wind field simulation model constructs each parameter combination corresponding fan global random turbulent wind field environment;Subsequently, in combination with multi-stage fan control strategy, simulate fan structure response, generate composite bending moment time series, and evaluate based on fatigue damage calculation model;Fatigue damage average is obtained by simulating the load of multiple random structure responses, traverse all wind condition parameters, obtain global fatigue damage result and fit to form fast evaluation model;Finally, the target wind condition data is substituted, realizes the fast evaluation of fan fatigue damage degree under typhoon condition, provides technical support for fan safety analysis, operation state evaluation and typhoon damage calculation.

The application provides a full-layer turbulence inversion method based on spectrum fusion of a laser radar and a millimeter wave radar, wherein observation data of equipment in a same observation area are acquired; then, cloud micro-physical phase state recognition is performed, and liquid cloud areas, ice crystal / snow areas, rainfall areas and supercooled water areas are divided; the particle falling speed is set as zero in the supercooled water area as a strong physical priori; a dual-wavelength speed consistency criterion is introduced, the speed responses of the laser radar and the millimeter wave radar are compared at a same height layer, and an anchor point mode, a deviation correction mode or a model rollback mode is dynamically switched, so that the physical coupling of air vertical movement and particle sedimentation movement is realized; on this basis, the second-order structure function method is applied to invert the full-layer turbulence dissipation rate based on the decoupled air vertical speed time sequence. The application can invert the real full-height-layer turbulence dissipation rate, and is suitable for all-weather, full-height-layer and especially high-precision wind field and turbulence monitoring under complex cloud and precipitation conditions.

The application discloses a kind of floating photovoltaic array aerodynamic performance wind tunnel test platform and method, including platform main body, platform main body includes wind field simulation area and experimental test area;Wave simulation device is provided in the front section of the incoming flow direction in wind field simulation area;Floating photovoltaic array model and six degrees of freedom floating platform are provided in experimental test area;Floating photovoltaic array model is fixed on six degrees of freedom support platform of six degrees of freedom floating platform;Pitot tube is arranged in experimental test area, and pitot tube is installed on telescopic support.The application can simulate real complex wind field environment on sea and the multiple degrees of freedom change of floating photovoltaic array by the platform and method, and also can obtain the dynamic response data of photovoltaic panel under different working conditions Real-time measurement provides scientific basis for the design optimization and wind resistance performance improvement of offshore floating photovoltaic platform.

The application relates to the field of unmanned aerial vehicle inspection, and provides an intelligent scheduling system for unmanned aerial vehicle inspection of power collection lines of a new energy station, a three-dimensional dynamic wind field construction module, an energy consumption dynamic evaluation module, a three-dimensional flight path planning module, an edge side defect identification module and a cluster dynamic scheduling module. The three-dimensional dynamic wind field construction module is used for constructing a three-dimensional dynamic wind field; the energy consumption dynamic evaluation module is used for dynamically evaluating total expected energy consumption; the three-dimensional flight path planning module is used for generating a three-dimensional obstacle avoidance flight path; the edge side defect identification module is used for identifying power collection line defects in real time; and the cluster dynamic scheduling module is used for monitoring in real time and triggering rescheduling. When the unmanned aerial vehicle is out of energy or hovers for a long time, the system can calculate residual tasks of the corresponding unmanned aerial vehicle, obtain an optimal relay distribution sequence based on the residual tasks, confirm a relay execution machine through the optimal relay distribution sequence, and millisecond-level schedule the relay execution machine to replace the residual tasks of the original unmanned aerial vehicle. Meanwhile, the system can also update the cluster scheduling state in a timely manner, so that the inspection process is ensured to have no breakpoints, no gaps and no information loss.

The application provides a weather radar spiral scanning mode radial velocity motion compensation and deblurring method, and relates to the technical field of weather radar signal processing, and the method comprises the following steps: calculating a line-of-sight unit vector and predicting a platform radial projection based on an attitude and scanning geometry; establishing a folding observation relationship according to the Nyquist velocity, constructing a finite candidate folding integer set by using the platform prediction projection, determining the folding integer in the candidate set by matching the consistency constraint, realizing the velocity blurring correction; applying the meteorological small velocity physical prior and the spatial continuity constraint to the blurring correction result to suppress the false correction; and adopting the sequence of deblurring first and then deducting the platform projection to obtain the compensated radial velocity. The application reduces the velocity folding jump under the spiral scanning condition, reduces the systematic deviation related to the scanning phase, improves the radial velocity consistency, and provides reliable input for the cloud and rain radial velocity product and subsequent cloud wind field inversion.

This invention discloses an intelligent planning method and system for aircraft transportation missions based on real-time power prediction. The method includes: constructing a full-physics power model that couples the dynamic characteristics of the inertial measurement unit, the environmental wind field vector, and battery characteristics, and completing offline calibration; during mission execution, using an extended Kalman filter to jointly estimate the load mass and wind field vector in real time, and dynamically solving for the optimal cruise speed that minimizes energy consumption per unit distance; predicting the aircraft's remaining support distance based on the real-time calculated state and "energy bucket" model; and automatically triggering a hierarchical closed-loop strategy—prioritizing waypoint elimination, replanning the route, or immediate return—when energy is insufficient by continuously monitoring and comparing with mission requirements. This invention achieves accurate endurance prediction and autonomous mission adjustment under load changes and wind field disturbances, significantly improving the safety, adaptability, and completion efficiency of aircraft in multi-point transportation missions such as express delivery.

This invention relates to the field of power system fault quantification technology, and discloses a method, system, equipment, and medium for quantifying distribution network line faults under typhoon weather. It calculates the wind-induced fault rate of distribution network lines by constructing a wind field correction model that incorporates micro-topography correction factors and wind direction-line angle correction factors. With the goal of minimizing power outage losses in the distribution network, a coupled influence model of transmission network faults on the distribution network line fault rate is constructed and solved to obtain the optimal load shedding amount for each load node in the distribution network and its corresponding operational constraint boundary. Under this boundary, the random process of load shedding allocation and load transfer of faulty lines within the distribution network is simulated using a double Monte Carlo sampling method, and the probability of line cascading faults caused by transmission-distribution coupling is calculated based on the simulation results. The combined time-varying fault rate and type of distribution network lines are determined by integrating the two fault rates, achieving accurate quantification of distribution network line faults under the influence of transmission-distribution coupling.

The application belongs to the technical field of ocean engineering pool test device, and discloses a kind of ocean engineering test pool wind measuring system and measuring method, including portal, across being arranged in test pool both sides, lifting unit is arranged on the portal;Travel mechanism is installed in the bottom end both sides of the portal, the travel mechanism is used to drive the portal longitudinal horizontal movement along the track being laid in pool side;Crossbeam lifting mechanism is connected to the portal in a lift, and crossbeam lifting mechanism is slidably connected with transverse sliding mechanism;Wind speed measuring unit is arranged on the transverse sliding mechanism, for measuring wind speed;Data acquisition and calculation system, the travel mechanism, the crossbeam lifting mechanism, the transverse sliding mechanism and the wind speed measuring unit are electrically connected with the data acquisition and calculation system respectively.The application can automatically, accurately and efficiently scan, measure and reconstruct three-dimensional wind field distribution, and comprehensively and accurately grasp the wind field characteristics of test area.

This invention relates to the field of computer-aided design technology, and more particularly to a method and system for constructing wind dams for concentrated wind energy capture. The method includes the following steps: acquiring multi-source wind field data; processing the multi-source wind field data to obtain wind field structure data; generating a guiding structure from the wind field structure data to obtain wind dam geometric structure data; performing fluid-structure interaction (FSI) simulation based on the wind field structure data and the wind dam geometric structure data to obtain FSI data; and performing multi-constraint dynamic optimization on the FSI data to obtain construction control strategy data. This invention achieves proactive guidance and efficient matching of the wind dam structure to airflow convergence behavior, improving the efficiency of concentrated wind energy capture and the reliability of structural design. By using a surrogate model and multi-constraint dynamic optimization, the highly complex simulation process is transformed into a rapidly reasoning-based decision-making process, effectively reducing computational costs.

The utility model discloses a kind of grid compensation scanning systems, frame driving device drives mobile wind field frame intermittent horizontal movement in the forming space of 3D printing equipment along X direction, the mobile wind field frame of grid structure is formed with several lattices being arranged along X direction interval, several groups of laser galvanometer system along X direction arrangement respectively scans the powder field in each lattice range of mobile wind field frame, each lattice two side walls are respectively equipped with several air outlet and air inlet, air supply main pipe and return air main pipe on the outer side wall of mobile wind field frame are respectively communicated with each air outlet and air inlet, air supply main pipe is connected with the one end of air supply slide pipe of length adjustable, return air main pipe is connected with the one end of return air slide pipe of length adjustable, air supply slide pipe and return air slide pipe other end are respectively communicated with the air inlet and air outlet of protective gas circulation system, the utility model is favorable to realize fine scanning and efficient scanning, guarantee workpiece quality.

This invention relates to the field of in-situ testing of plant airflow resistance characteristics, and provides a suitable in-situ testing method for plant airflow resistance characteristics. It employs a portable, quick-assembly in-situ DC wind tunnel in conjunction with a handheld anemometer and anemometer. The DC wind tunnel consists of a portable bed-type lifting frame and a wind tunnel device mounted on it, allowing for free adjustment of the test support platform's ground clearance, thus enabling flexible adjustment of the wind tunnel body, i.e., the height of the test port. Using this DC wind tunnel structure, the wind field at any wind speed can be reproduced by adjusting the variable frequency fan in the power section. Combined with the handheld anemometer and anemometer, the wind speed and pressure values ​​before and after the plant are measured. The average value of each measuring point before and after is taken as the final measured wind speed and pressure value. Based on the measured pressure drop and wind speed, the drag coefficient at different heights of the plant is calculated, thereby enabling in-situ testing of the plant's aerodynamic resistance characteristics at different heights and wind speeds.

The application discloses a kind of wind field wind blade integrated monitoring method based on millimeter wave radar array, comprising: by the observation data obtained by millimeter wave radar array on the top of cabin is carried out distance and doppler processing, generate point cloud observation result, and construct echo energy time sequence in wind blade area, determine wind blade sweep period by peak value detection.Construct time slot control sequence, wind blade occupation period is used for point cloud reconstruction, unobstructed period is used for wind measurement.In wind blade point cloud reconstruction time slot, reconstruct wind blade point cloud by multi-channel signal synthesis, threshold detection and angle estimation etc., and extract blade state parameter;In wind measurement time slot, by multi-view radial velocity observation, establish wind speed vector inversion model, and obtain wind speed and wind direction by using weighted fusion method.Wind blade state parameter and wind field parameter are fused and output under unified coordinate system and time axis.The method does not need additional wind measurement equipment, realizes the integration, continuity and high reliable monitoring of wind field and wind blade.

This invention relates to the structure of an array wind tunnel, comprising: several fan units installed in a matrix structure; each fan unit includes a duct, within which a pre-stage fan and a post-stage fan are installed at axial intervals, with a gap H between the inner wall of the duct and the edges of both the pre-stage and post-stage fans; several gap adjustment components are arranged circumferentially along the inner wall of the duct and located within the gaps; when the gap adjustment components expand, the gap H decreases; when the gap adjustment components contract, the gap H increases. This invention, by setting gap adjustment components on the inner wall of the duct, can dynamically compress the gap between the duct and the blade tips of the pre-stage and post-stage fans, effectively suppressing the generation of tip leakage vortices, while simultaneously utilizing the counter-rotating structure of the pre-stage and post-stage fans to completely eliminate rotational wakes. This hardware optimization significantly reduces aerodynamic losses and significantly improves the conversion rate of motor shaft power into effective axial airflow kinetic energy, achieving low-power operation from the fundamental level of fluid mechanics.

The application discloses an effective wave height double-stage space-time prediction method and system based on diffusion residual correction, relates to the technical field of sea wave prediction, and inputs historical effective wave height data and corresponding historical wind field data into an effective wave height space-time prediction model for processing to obtain a preliminary effective wave height prediction result, and then inputs the preliminary effective wave height prediction result, the historical effective wave height data and synchronous forecast wind field data into a residual correction module based on a diffusion model to compensate for the preliminary prediction error and obtain a final effective wave height prediction result. The diffusion model based on the EDM architecture is innovatively introduced to finely reconstruct the prediction residual, the basic prediction field, the synchronous wind field dynamic factor and the prediction time limit are taken as multi-dimensional physical strong conditions to inject the diffusion generation process, the application can deterministically restore the high-frequency texture details and nonlinear wave components missed by the first-stage model, to a certain extent, the application can relieve the long-term deviation accumulation, improve the prediction quality in high wave areas and improve the prediction stability.