1796 results about "Wind wave" patented technology

The invention discloses a seawall overtopping amount and overtopping risk calculation method considering a mangrove forest wave dissipation effect, and relates to the technical field of coast engineering. The method comprises the following steps: acquiring typhoon path data, inputting the typhoon path data into a Holland typhoon empirical model, and accurately generating a typhoon wind field; calculating coastal site tide level data in combination with a coastal storm surge numerical model; obtaining wave data during a typhoon by using a storm surge typhoon wave forecasting model based on the SWAN; historical typhoon data and relevant information of the seawall and the mangrove forest are collected, a water level-wave-vegetation-seawall coupling model is constructed, the wave dissipation effect of the mangrove forest is accurately simulated, and wave characteristic calculation is optimized; constructing a database, training the database through a CNN neural network model, and improving the prediction precision of seawall front wave height and wave force parameters; the wave overtopping amount is calculated based on the prediction parameters, a scientific basis is provided for wave overtopping risk assessment, it is ensured that real-time assessment of the wave overtopping risk is more accurate and efficient, and the disaster prevention and reduction capacity is effectively improved.

The invention discloses a near-shore wind wave prediction method and system based on data driving, and the method comprises the steps: obtaining multi-source data of long-time series data of each meteorological data variable of a research region, carrying out the preprocessing, selecting a target variable and a feature variable, and carrying out the region grid point division of the research region; taking the characteristic variables of the open sea lattice points as a reference sequence, taking the target variables of the inner sea or near-shore lattice points as a target sequence, and analyzing a time delay effect and a spatial propagation mode between the reference sequence and the target sequence; introducing the analysis result as priori knowledge into a deep learning model, and training the deep learning model to obtain a typhoon prediction model; and acquiring real-time data of each meteorological data variable in the research area, preprocessing the real-time data, and inputting the characteristic variable in the real-time data into the typhoon prediction model to obtain a prediction result of the target variable. According to the method, the time lag effect and the spatial relation of all variables of the open sea on the offshore area information are comprehensively considered, fusion and integration of multi-source data are achieved, and efficient and accurate real-time prediction is carried out.

The invention provides a power generation performance evaluation method for an offshore floating photovoltaic power generation system, and the method comprises the steps: considering the influence of offshore wind wave fluctuation, researching the inclination angle change characteristics of a photovoltaic module installed on a floating body structure under different sea conditions, and building a single-sided and double-sided photovoltaic module dynamic and static irradiance model considering the influence of sea wave motion; the invention provides a method for generating a scene with uniform and non-uniform irradiance distribution of an offshore floating type photovoltaic array. The irradiance distribution model and the electrical model of the offshore floating photovoltaic array are combined to form a method for simulating the maximum output power Pmax change characteristic of the offshore floating photovoltaic array under the influence of sea wave operation; and evaluating the annual energy output in the target sea area by combining the wind wave data and irradiance distribution in the target sea area and the maximum output power Pmax change characteristics of the floating photovoltaic array. Compared with an existing photovoltaic power generation performance evaluation method, the influence of sea wave fluctuation on the power generation characteristics of the photovoltaic array is considered, and the method is suitable for an offshore floating type photovoltaic power generation scene.

The invention discloses a river water surface two-dimensional flow field reconstruction method based on effective tracer detection and tracking, and the method comprises the steps: carrying out the distortion correction of an original video image sequence, and setting an ROI region according to the water level detection river water surface range; the method comprises the following steps: collecting a multi-scene floating object data set, screening floating objects with high relative brightness and clear outlines in different scenes, and training a YOLO model to detect the floating objects on the surface of a river; using an OCSORT matching tracking method to track adjacent frames of targets to obtain a trajectory, and filtering according to the length, angle and variance of the trajectory to obtain a stable trajectory; according to the method, object information obtained through target detection is utilized, according to the area, the area change rate and the length-width ratio of a floating object on an image, the following performance and stability of the floating object are evaluated, a track fusion weight is calculated, and the influence of unreliable floating objects is reduced; and gridding the river surface area after orthographic correction, and for a grid with a plurality of tracks, calculating the average flow velocity of the grid according to the confidence coefficient of each track to obtain a gridding two-dimensional flow velocity vector field. The method can accurately identify the floating object which meets the requirements of visibility, following performance and stability on the river surface as an effective water flow tracer, and is suitable for measuring the flow velocity of the river surface in complex scenes such as night, storm, flare, shadow and the like.

The invention relates to the field of floating type fan load simulation, in particular to a floating type fan simulation analysis method considering atmospheric stability in a stormy wave environment, which comprises the following steps of: simulating WRF wind field data; carrying out WRF-SWAN wave field simulation; calculating key parameters of wind field simulation; carrying out WRF-TurbSim wind field simulation; and carrying out OpenFAST simulation and analysis. On the basis of traditional wind field driving, a Richardson number calculation and atmospheric stability classification method is introduced, a spectrum inversion and adaptive fitting mechanism is combined, key parameters of an engineering wind speed spectrum model are extracted, and a parameter mapping relation between WRF output and TurbSim input is established. A disturbance construction module driven by Richardson numbers is developed in TurbSim, adaptive generation of wind speed disturbance under the multi-stability condition is achieved, and the physical consistency and engineering adaptability of a simulated wind speed field on the aspects of a section structure and spectrum characteristics are improved. And finally, finishing floating type fan load analysis under wind wave coupling input by combining with an OpenFAST platform, and supporting system response evaluation and structural design optimization under complex sea conditions.

The invention provides a method for evaluating the stability of an offshore wind power pile foundation under the coupling action of submarine landslide and wind wave impact load, and develops a finite element model of pile-soil interaction under the action of complex lateral load. Based on an established seabed landslide impact load quantification formula, the lateral load of the single pile under the coupling action of the seabed landslide, wind, wave and flow in the complex environment is given. And finally, carrying out single pile stability analysis under the action of complex lateral load, and discussing the stability of the single pile foundation by considering the sediment strength of different sea areas at the same time. Through the technical scheme of the invention, the method can judge the stability evaluation of the single pile foundation under the action of the wind wave current load and the potential landslide load in the research area, provides reference for site selection of offshore wind power, establishment of the offshore wind power and the like, and reduces the economic loss caused by the instability of the offshore wind power.

The invention discloses an offshore platform anti-collision device and method based on multi-mode BEV perception, and the device comprises a three-dimensional fusion distance measurement module, a UWB distance measurement module, a ship navigation state monitoring module, a platform marine environment monitoring module, and a central processing unit. The three-dimensional fusion ranging module comprises a holder, a laser radar and a camera, and is used for performing 360-degree three-dimensional scanning on the periphery of the offshore platform; the UWB distance measuring modules are installed on the periphery of a ship and pile legs of an offshore platform. The ship navigation state monitoring module is used for acquiring ship position, navigational speed and course information in real time; the platform marine environment monitoring module collects wind wave data and weather data near the offshore platform and route information of passing ships through network communication. The invention discloses an offshore platform anti-collision device with real-time monitoring and collision risk assessment functions, the anti-collision safety of an offshore platform is improved, and the occurrence rate of collision accidents is reduced.

The invention relates to the technical field of ship control, in particular to a fishing boat control system based on data analysis, which comprises a traction load analysis module, a fluctuation condition division module, an attitude disturbance estimation module, a propulsion power regulation module and a rudder angle correction output module. According to the method, by analyzing the traction force load sequence value and the moment arm length of the fishing net traction point, calculating the left and right side offset torque and marking the action direction, the attitude adjustment precision of the ship is optimized, the operation sea condition level is adjusted according to data, and the ship can be subjected to more reasonable attitude estimation and adjustment under the dynamic working condition; the wind pressure change rate and the pitch angle rate are combined to judge the direction resultant force trend, and the navigation attitude is adjusted according to the sea condition grade, so that the ship can more accurately resist the influence of sea surface storm waves and maintain the course stability, and the rudder angle is corrected by adjusting the propulsion power in real time, limiting the adjustment amplitude of the propulsion power and correcting the rudder angle according to the real-time data of the navigation attitude. And the propulsive efficiency and the navigation precision are optimized.

The invention discloses a sea condition perception and path prediction navigation method and system for a high-speed unmanned ship, and relates to the technical field of multi-source path decision optimization, and the method comprises the steps: collecting storm real-time perception data through a sensing device, carrying out the preprocessing, outputting a standardized sea condition state vector, and providing an experience reference for real-time path planning through ship-borne historical data; constructing a multi-target navigation prediction algorithm model to predict and generate a path candidate scheme set on the basis of the storm real-time sensing data and the ship-borne historical data, and performing evaluation through a conditional random field in combination with path candidate schemes generated by the storm real-time sensing data, the ship-borne historical data and target navigation prediction; and carrying out multi-dimensional safety risk scoring on an evaluation result through a fuzzy analytic hierarchy process by combining the wave height and direction influence, the hull stability and the obstacle avoidance complexity, and determining an optimal sailing path. According to the invention, fusion of multi-source sea condition perception and dynamic path optimization is realized, and the navigation stability, the adaptability and the risk control capability of the high-speed unmanned ship are improved.

The invention discloses an unmanned ship formation keeping control method under communication time delay, and belongs to the technical field of intelligent ship navigation control, and the method comprises the steps: building an unmanned ship motion model based on a built unmanned ship three-degree-of-freedom motion model, a state-space equation of the unmanned ship three-degree-of-freedom motion model, and an environment disturbance mathematical model; aiming at the problems of wind wave flow disturbance and communication time delay suffered by the unmanned ship formation, constructing a superhelix integral sliding mode observer and a self-adaptive time delay estimator; a formation control system is built by combining a fixed time theory, a formation controller of a nonsingular terminal sliding mode and a superhelix integral sliding mode observer, and formation keeping of the unmanned surface vehicle is achieved; and finally verifying through a simulation experiment. The formation control system is built based on the fixed time theory and the nonsingular terminal sliding mode control method for the unmanned surface vehicle formation, the unmanned surface vehicle formation control precision is effectively improved, unmanned surface vehicle formation shape keeping control under composite disturbance is achieved, and the method has great significance in promoting precise development of unmanned surface vehicle formation operation.

The invention provides a three-dimensional space collision avoidance system based on multiple tower cranes, and relates to the technical field of port hoisting operation, a three-dimensional voxel grid VoxelGrid space map is constructed, and the three-dimensional space collision avoidance system comprises a first horizontal coverage map, a second descending coverage map, a third fan-shaped area occupation map, a fourth track occupation area map and a fifth interference area map; the system can identify the space overlapping area of the tower crane operation path at the voxel level, breaks through the limitation of the traditional path planning method on the dimension and precision of space modeling, and enhances the fine granularity and accuracy of collision detection. A dynamic acquisition module and a dynamic interference module are introduced, dynamic disturbance caused by factors such as stormy waves and tides on a ship in a port operation environment can be sensed in real time, the deviation trend of the tail end of the lifting appliance is predicted, target correction and track compensation are carried out before track execution, and the situation that the lifting appliance is accidentally touched or falls off due to track drifting is effectively promoted to be reduced.

The invention provides a stabilization control method and system for a fuel filling ship at a zero navigational speed. The method provided by the invention comprises the following steps: acquiring rolling data and wind wave data of a refueling ship under a target sea condition in a fuel refueling process in real time; the rolling data and the wind wave data are processed based on a radial basis function neural network, and the precession angular velocity of the stabilization gyro device under the target sea condition is obtained through calculation; the stabilization gyro device is controlled to rotate at the precession angular speed, the stabilization gyro device generates a gyroscopic effect and generates rolling moment, the rolling moment is converted into stabilizing moment for resisting rolling through precession motion, and the rolling angle of the filling ship is reduced; and the stabilizing moment is opposite to the vibration direction of the rolling. According to the method and system, rolling control of the filling ship at the low speed or the zero navigational speed is achieved, the stabilization torque can be adjusted in real time according to sea wave changes, and the stability and safety of the filling ship in the fuel filling operation process are improved.

A wind and wave response modeling and ocean current inversion method based on machine learning relates to the technical field of artificial intelligence and ocean information services, and comprises the following steps: (1) data acquisition; (2) data processing; (3) constructing a data set; (4) establishing a sea surface flow velocity inversion model by using a particle swarm optimization machine learning algorithm; and (5) obtaining an optimal sea surface flow velocity inversion model through testing and case analysis. Aiming at ocean and Doppler frequency shift characteristics of the sea surface, the invention provides a particle swarm optimization XGBoost model wind wave Doppler contribution prediction method for the first time, and the wind wave Doppler contribution estimation precision and speed can be effectively improved.

The invention relates to the technical field of ocean renewable energy power generation, and particularly discloses a floating type wind wave combined power generation system model prediction control method, which comprises the following steps: establishing a nonlinear mathematical model of a floating type wind wave combined power generation system; determining a steady-state working condition point of the system; carrying out linear processing on the nonlinear model; constructing a discrete time prediction model; designing a target function; defining a state and an input constraint condition; performing real-time rolling optimization solution; and dynamically feeding back a correction mechanism. Starting from a wind wave excitation mechanism, on one hand, response in a turbulent wind frequency band is reduced through fan variable pitch control, and on the other hand, response in a wave frequency band is reduced through wave energy power generation device PTO control, so that tower footing load is effectively reduced, and pitching motion of a platform is restrained. Global multi-objective optimization is realized by designing an objective function, defining constraint conditions and solving the objective function.

The invention provides a rapid forecasting method for environmental response of a ship sailing in an ice region. The rapid forecasting method comprises the following steps: S1, establishing a motion response mathematical model of the ship on the sea under interference of the environment with ice, wind and waves; s2, establishing a ship navigation sea area ice condition and sea condition forecasting model; s3, enriching the environmental motion and structural response database of ship navigation in the ice area or performing data assimilation according to actual measurement information; and S4, according to the planned ship route of the ship and the forecasting result of the regional ice area environmental elements, carrying out refined real-time forecasting of the ice area environmental elements on the ship route region per hour within 24 hours, adopting multi-level decomposition and forecasting in the forecasting process, decomposing the forecasting into different time scales for forecasting, and finally, carrying out the forecasting of the ice area environmental elements in the ship route region. And summing different forecasts to obtain a final forecast result. According to the invention, the motion and structural response of the ship can be quickly and accurately obtained under the influence of a complex ice region environment.

The invention relates to the field of offshore floating type wind power, in particular to an automatic buoyancy adjusting system and method for a floating type draught fan platform, the adjusting system comprises a buoyancy device which is fixedly installed on a stand column or a buoyancy box, the buoyancy device comprises a semi-flexible shell, and at least one air bag is arranged in the semi-flexible shell; the volume of the air bag is determined through the following steps that S1, real-time motion data and environment data of the floating type draught fan platform are obtained; and S2, whether the current posture of the floating type fan platform is stable or not is evaluated by analyzing the real-time motion data and the environment data, and if not, the size of an air bag is adjusted by inflating and deflating. By arranging the buoyancy device, buoyancy can be flexibly adjusted according to sea conditions, heaving, trim and rolling motions of the floating fan platform under the action of waves, wind loads and ocean currents are remarkably reduced, the platform can adapt to rapid changes of the sea conditions in a short time, and impact of stormy waves on the platform is reduced.

The invention discloses a wind wave-seabed-pile foundation-photovoltaic array multi-physics field coupling calculation system for an ocean photovoltaic power station. The system comprises a wave model construction module, a photovoltaic array wind load numerical simulation module and a multi-physics field coupling numerical model integration module. The wave model construction module is used for extracting wave elements and constructing a wave model; the photovoltaic array wind load numerical simulation module is used for performing photovoltaic array wind load numerical simulation based on the extracted wave elements and the constructed wave model; and the multi-physics field coupling numerical model integration module is used for carrying out multi-physics field coupling numerical model integration, solving and verification based on a numerical simulation structure. According to the method, the wind wave load, the seabed seepage field, the pile foundation stress field and the photovoltaic array wind field are cooperatively calculated by building the multi-field dynamic coupling model, and therefore the accuracy and reliability of offshore photovoltaic power station pile foundation bearing performance evaluation are improved.

The invention discloses a multifunctional experimental device capable of realizing a wind wave coupling effect, which comprises a deep water experimental area, a transition experimental area and a shallow water experimental area, and is characterized in that a lifting floating bottom mounted at the bottom of a water tank can simulate the elevation change from a deep sea to a shallow sea seabed; a wind generating system is assembled above the water tank and is matched with the flow guide arrays on the two sides to provide a high-quality wind field for the experimental water tank; the L-shaped wave maker can make multi-directional irregular waves, the wave flow experiment water tank and the wind making system are used for constructing a target joint field required by an experiment, and the whole process that the waves are gradually propagated from deep sea to shallow sea under the wind wave coupling effect can be achieved. The device has multiple functions of wind generation, wave generation, current generation and the like, has the function of simulating various load factors which mainly influence ocean engineering structures, and compared with an existing experimental device, the device can achieve the real wind and wave coupling effect, more truly and completely simulate the whole process of ocean wave propagation, and the experimental device has the advantages of being simple in structure and convenient to use. And a more accurate marine simulation environment is provided for experiments.

The invention discloses a near-shore wave-flow field-sediment coupling simulation method considering a wave breaking nonlinear effect, and belongs to the field of near-shore hydrodynamics, and the method comprises the steps: inputting WRF high-resolution wind field, tide boundary conditions and water depth information, and initializing a wave module, a flow field module and a sediment module; calculating local wave breaking dissipated energy by adopting an improved wave breaking energy dissipation formula to obtain a wave energy density spectrum and a breaking probability; a near-shore flow field is calculated under radiation stress nonlinear correction, and hydrodynamic boundary conditions are updated; calculating sediment suspension and deposition by using a coupling diffusion coefficient, and updating sediment concentration distribution; waves, flow fields and sediment are mutually coupled through loop iteration, and coastal wave-flow field-sediment simulation is achieved under extreme conditions such as typhoons, storm surge and strong storm waves. The method can improve the prediction precision of the wave height, the flow velocity and the sediment concentration under the condition of offshore strong storm waves, and is used for typhoon storm surge prediction, harbor basin deposition evaluation and offshore ecological environment management.

The invention relates to a load quantification method for a floating fan in a typhoon scene, and the method comprises the steps: constructing an environment data simulation frame which comprises an external nesting and an internal nesting, the internal nesting is used for achieving wave flow coupling and generating wave flow scene data, and the external nesting is used for carrying out wave flow coupling and obtaining external environment data of the floating fan; the method comprises the following steps: constructing a multi-time-scale load prediction framework, inputting environmental data into the multi-time-scale load prediction framework, and outputting load distribution of typhoon to a floating fan under a long time scale, the multi-time-scale load prediction framework comprising a short-time-scale dynamic coupling analysis model and a long-time-scale load prediction model, and the long-time-scale dynamic coupling analysis model comprises a short-time-scale dynamic coupling analysis model and a long-time-scale dynamic coupling analysis model. The short-time-scale dynamic coupling analysis model is used for obtaining a load prediction sample, and the long-time-scale load prediction model is used for predicting the load prediction sample and outputting load distribution under a long time scale. Compared with the prior art, the method has the advantages of being more practical in environment simulation, accurate and efficient in load prediction and the like.

The invention relates to a ship operation energy consumption prediction method considering an actual storm condition. The method comprises the following steps: fusion and data processing of multi-source navigation environment data; the still water resistance and the wave increase resistance are calculated through a program, and the navigational speed-power relation of the ship under the actual wind wave condition is calculated; predicting the power-oil consumption relation of the ship according to the route segments: based on the navigational speed-power relation of the ship under the actual storm condition, establishing a prediction agent model of the power-oil consumption relation of the ship according to the historical oil consumption data of the ship; and ship operation energy consumption prediction: combining the annual route segment information of the ship, predicting the agent model based on the branch route segment ship power-oil consumption relation, thereby obtaining the oil consumption of each route segment of the ship in the whole year, and calculating the annual operation energy consumption of the ship. According to the method, the prediction precision is remarkably improved, the generalization ability and the real-time response speed of the model are enhanced, and powerful support is provided for energy conservation and emission reduction of ships.

The invention discloses an L-shaped wind wave flow-earthquake simulation system and method suitable for a high gravity field, the simulation system comprises a model box, a wind generation system, an L-shaped wave generation system, a flow generation system and a vibration seabed model, and the model box is used for accommodating and installing each system and is arranged on a rotating arm of a centrifugal machine in an up-and-down swinging manner; the wind generation system is used for forming horizontal airflow circulation, the L-shaped wave generation system is used for generating waves, the flow generation system is used for generating flow, and the vibration seabed model is used for researching interaction between a maritime work structure and seabed soil under various sea conditions. The simulation system can reproduce sea wind, wave, ocean current and earthquake scenes in a high gravity field.

The invention discloses a non-cooperative target-oriented ocean robot cluster tracking optimization control method, which comprises the following steps of: firstly, respectively establishing a linearized ocean robot cluster dynamic model and a non-cooperative target dynamic model for an ocean robot system working in a water surface environment; then constructing a state tracking error system; designing a finite time sliding mode control protocol, and solving an equivalent state tracking error system moving on a sliding mode surface; a performance index function of the ocean robot cluster system is defined, a distributed state feedback nominal optimization control protocol is designed, and it is ensured that the performance index function meets global Nash equilibrium; and finally proving that the distributed state feedback nominal optimization control protocol can ensure the asymptotic stability of the equivalent state tracking error system by utilizing a Hurwitz stability theory. According to the method disclosed by the invention, the optimal tracking control of the ocean robot cluster system on the non-cooperative target with an uncertain control strategy can be realized under the interference of water surface storm waves in a complex ocean environment.

The invention belongs to the technical field of comprehensive utilization of ocean renewable energy sources, and particularly relates to a pilot frequency coupling-based wind wave energy multi-degree-of-freedom broadband control method, which comprises the following steps of: performing frequency domain identification on wind wave environment characteristics, and constructing a wind wave pilot frequency energy coupling model; based on the motion response characteristics of the multi-degree-of-freedom floating platform, designing a pilot frequency energy regulation and conversion mechanism; a full-working-condition dynamic optimization control strategy is adopted, and cooperative operation and energy flow self-adaptive distribution of the wind energy conversion unit and the wave energy conversion unit are achieved. Aiming at the significant difference and relevance of wind energy and wave energy in frequency characteristics, time scale and spatial distribution, a pilot frequency wind wave coupling dynamic model is established, and broadband capture of low-frequency wind-induced and high-frequency wave-induced coupling energy is realized under complex sea conditions through multi-degree-of-freedom motion decoupling and state observation, so that the wind-induced and high-frequency wave-induced coupling energy is obtained. The energy utilization rate, the attitude stability and the structural safety of the system are effectively improved, and good robustness and engineering adaptability are achieved.

The invention discloses a multifunctional wind wave and flow coupling experiment platform, and belongs to the technical field of bridge engineering. The experimental platform comprises a wind power system and a water power system, the wind power system is of a two-layer structure, the upper layer is an unsteady wind tunnel, and the lower layer is a steady wind tunnel; the hydrodynamic system is located below the steady wind tunnel; the steady wind tunnel is of a sealed annular structure, and a fan, a first experimental section and a second experimental section are arranged in the steady wind tunnel; the unsteady wind tunnel is arranged above the second experiment section, and interaction windows A which are communicated with each other are formed between the unsteady wind tunnel and the steady wind tunnel; the hydrodynamic system is located below the second experiment section, and an interaction window B which is communicated with the steady wind tunnel is formed between the hydrodynamic system and the steady wind tunnel; the unsteady wind tunnel, the steady wind tunnel and the hydrodynamic system are communicated with one another through the two interactive windows. The experimental platform can simulate different coupling action environments of wind, waves and flows, and is used for testing the stability, reliability and durability of various ocean engineering structures and equipment.

The invention provides a ship dynamic stability modeling method and system based on multi-external force coupling, and the method comprises the steps: building a short-peak wave model based on wind wave characteristic parameters under different sea conditions and motion state parameters of a ship, and carrying out the calculation under ground coordinates to obtain a first wave surface equation; a first wave surface equation located in a ground coordinate system is converted into a ship body stable coordinate system through a coordinate and frequency conversion method, a second wave surface equation suitable for the surrounding environment of the ship is obtained, then a fluctuation pressure model caused by sea waves is established, the fluctuation pressure model is corrected through a Smith correction term method, and the ship body stable coordinate system is obtained. A multi-wave superposition fluctuation pressure model is obtained through a harmonic superposition analysis method; then a generalized disturbance force matrix is constructed based on a finite volume method, Archimedes restoring force, inertia hydrodynamic force and viscosity hydrodynamic force are calculated by adopting a specific calculation method, and then a ship motion model is established, so that the accuracy of the model is effectively improved, and the dynamic behavior of the ship can be more accurately predicted under the complex sea condition.

The invention belongs to the technical field of marine environment observation, and particularly relates to a marine environment observation device based on a marine station, which comprises a floating block, supporting blocks are fixedly connected to the middle parts of the left and right sides of the upper end surface of the floating block, rotating blocks are rotatably arranged on the upper sides of the supporting blocks, and a humidity detector and a wind speed detector are arranged on the upper end surface of a top plate. A weight detection assembly is arranged on the adjusting seat; by means of the weight detection assembly and the anti-sliding-out type pushing mechanism, when a foreign matter exists above the base, a pressure sensor can detect a pressure signal, a rotating block is driven to rotate, the whole base inclines, the foreign matter located above the base falls off, remains of benthos and other foreign matter are prevented from being brought to the device by stormy waves, and the safety of the device is improved. And further, sensors of a humidity detector and a wind speed detector are covered, so that signals received by the sensors are interfered, and the accuracy of a monitoring result is influenced.

The present invention provides a flow diversion device based on a one-way water pool, which relates to the field of ship engineering technology, and solves the technical problem that a physical model will cause wave damage in a one-way water pool in a wind and wave test, resulting in inaccurate experimental data. The flow diversion device includes a physical model, a lifting device, a flow diversion device and a water pool; the water pool has a first pool bottom and two oppositely arranged pool side plates, and the two pool side plates and the first pool bottom are arranged in a U-shaped structure; the lifting device is used to change the height of the physical model in the water pool; one end of the flow diversion device is hinged to one side of the incoming flow direction of the physical model, and the other end is slidably arranged on the first pool bottom of the water pool; when the physical model has a preset height from the first pool bottom of the water pool, the flow diversion device guides the incoming flow from the first pool bottom of the water pool to the physical model. The flow diversion device ensures that the physical model will not cause wave damage during the wind and wave impact test, thereby ensuring the accuracy of the experimental data.

The invention discloses an SAR sea surface flow velocity inversion method based on physical guidance and data driving fusion, and relates to the field of flow velocity inversion, and the method comprises the steps: carrying out the non-geophysical Doppler frequency shift correction of the Doppler frequency shift observed by a spaceborne synthetic aperture radar, and obtaining the geophysical Doppler frequency shift; predicting based on a wave-induced Doppler frequency shift model according to a radar incident angle, reanalyzed wind direction data, a sea surface 10-meter height wind speed inverted by an SAR (Synthetic Aperture Radar), a simulated wind wave parameter, a simulated surge parameter and a simulated maximum wave parameter to obtain a wave-induced Doppler frequency shift; the wave-induced Doppler frequency shift model is obtained based on physical guidance and data-driven modeling; doppler frequency shift generated by sea surface flow is determined according to the geophysical Doppler frequency shift and the wave-induced Doppler frequency shift; according to the method, the Doppler frequency shift generated based on the sea surface flow is converted to obtain the sea surface radial flow velocity, the wave-induced Doppler frequency shift is accurately removed, and reliable inversion of the sea surface flow velocity is realized.

The invention discloses a modeling method for a wind wave flow coupling environment of an FPSO system based on modelica, and relates to the technical field of model convergence, and the method comprises the steps: setting different time steps, carrying out simulation, recording the response of a key physical quantity, and calculating a time step sensitivity index; performing different grid division and simulation on the model, and calculating a grid independence index; and recording the dynamic response of the FPSO platform, and calculating the instability index of the simulation result. A time step sensitivity index, a grid independence index and a simulation result instability index are combined to calculate a convergence anomaly coefficient, the convergence anomaly coefficient is compared with a preset threshold value, whether the convergence of the model is qualified or not is judged, the standardized convergence of the FPSO system wind wave flow coupling model based on Modelica can be verified in the process, it is ensured that the convergence performance of the model is detected in time, and the reliability of the model is improved. Error accumulation is avoided, the accuracy and reliability of a simulation result are improved, and therefore potential influences on engineering decision and safety evaluation are reduced.