81 results about "Sea state" patented technology

The application discloses a marine buoy multi-source fusion positioning method and system based on a factor graph optimization, which acquires GNSS observation data, IMU measurement data and marine environment auxiliary data; a factor graph containing state nodes, GNSS position factors, IMU pre-integration factors and marine dynamics constraint factors is constructed, and wave and current theories are used to constrain buoy movement; in view of multipath effects, marine surface reflection geometry and marine root mean square wave height are combined to calculate a multipath weighting factor, and a GNSS covariance matrix is adaptively adjusted; according to IMU data, a sea state level is discriminated, and an edge window length and a trigger interval of incremental smoothing solving are adaptively linked and adjusted; through adjacent buoy ranging information, collaborative constraints are constructed, and based on Mahalanobis distance and chi-square distribution threshold value detection, abnormalities are detected and local reconstruction is performed. The application effectively suppresses marine surface multipath interference, slows down the accumulation of calculation errors during signal interruption, and realizes high-availability continuous positioning under limited computing power.

This utility model discloses a multi-point spraying system for marine engineering. It includes an installation frame with multiple spraying units arranged in an axial array on the inner side, a sensor module, and a control module. The installation frame consists of an upper ring, a lower ring, and vertical supports. Each spraying unit includes a nozzle, an angle adjustment mechanism, and a water pump. The lower ring has a sludge suction nozzle. The sensor module contains various sensors and also includes a remote monitoring module. The control method first collects sea state parameters to establish a digital model and determine the initial spraying values. During operation, parameters and modes are adjusted in real time, and a fault diagnosis program can be triggered. This application achieves the technical effects of adapting to different sea conditions, accurately adjusting spraying parameters, realizing efficient marine operations, and possessing fault diagnosis and remote monitoring functions.

The application discloses a kind of ship compliance monitoring methods based on unmanned aerial vehicle and AIS data fusion.The method controls satellite positioning module, IMU and vision sensor of unmanned aerial vehicle to collect data;Satellite positioning antenna is compensated using IMU real-time attitude lever arm effect, and the corrected unmanned aerial vehicle coordinates are obtained;Based on vision SFM algorithm and unmanned aerial vehicle positioning displacement baseline, the relative position vector of ship is solved, and the absolute coordinate of ship is obtained by space projection;Through linear interpolation, the time and space alignment of measured data and AIS data is realized;Finally, coordinate deviation is calculated, and dynamic threshold based on flight height, sea state and other environmental parameters is combined to determine the compliance of ship.The application realizes independent high-precision solution and full-dimensional verification of ship position, heading and speed, effectively solves the problems of AIS data fraud identification difficulty, large environmental interference and other problems, and greatly improves the accuracy and intelligent level of maritime non-site law enforcement.

This invention discloses a method for estimating sea state levels based on visual information. The method includes acquiring image and video data of a target sea area through an image acquisition module; using a combination of median filtering and Gaussian filtering for noise reduction, and histogram equalization to enhance data contrast; performing image geometric correction using radial distortion correction and tangential distortion correction models; extracting wave texture features, motion features, and wave height features from the preprocessed data; inputting the extracted features into a trained sea state level classification model for training, and outputting the sea state level estimation result. During training, multi-model fusion and dynamic model updating methods are used to improve the accuracy and reliability of the estimation. This invention uses a camera to collect wave information within a certain distance and range, and automatically estimates the sea state level based on this information, thus solving the problems of high cost, limited measurement range, significant environmental influence, and low accuracy in existing sea state level estimation methods.

This invention relates to a method for predicting ship maneuvering motions under high sea states, comprising the following steps: establishing a three-dimensional numerical model of ship-wave coupling under high sea states based on computational fluid dynamics; installing sensors on the ship to collect real-time motion data of the ship under high sea states, and preprocessing the collected data; extracting feature parameters related to the ship's six degrees of freedom motion based on the preprocessed data; using the feature parameters as input, constructing a ship maneuvering motion prediction model using a neural network model, the output of which is the prediction result of the ship's six degrees of freedom motion over a future period; training and validating the prediction model using historical data; inputting the real-time collected data into the trained prediction model to perform real-time prediction of the ship's six degrees of freedom motion; generating ship maneuvering suggestions based on the prediction results; and providing real-time feedback and correction to the model based on the comparison between actual operating data and the prediction results. This invention has the effects of improving prediction accuracy, ensuring ship safety, and improving prediction precision.

The present application relates to the technical field of structural response simulation, in particular to a ship container wave pressure intensity simulation method and system, in the present application, based on Fourier transform, frequency value, direction angle, energy coefficient, pressure amplitude and phase quantity are composed into a unified frequency domain vector, and the surface element pressure history is reconstructed by time step by time, so that the wave load is uniformly distributed in the spectrum domain phase, the frequency component phase superposition and the speed and heading offset are synchronously transmitted to each time point, the surface element pressure history and the sea state spectrum parameters are one-to-one corresponding, through the penalty function method, the displacement difference value and the allowable gap limit value are read at the node layer, the penalty coefficient is selected according to the constraint type to generate the penalty quantity, and the penalty quantity is superimposed to the node pressure record with the time step, the supporting, limiting and allowable movement state is quantified as the penalty term and is updated with the iteration increment, the constraint strength is uniformly controlled by the penalty coefficient grade table, and the working condition switching can reuse the grid and material input by replacing the matrix and penalty coefficient library.

The present application relates to a kind of energy efficiency dynamic monitoring and evaluation technical field, propose a kind of ship overall technical energy efficiency dynamic monitoring and evaluation method and system, can eliminate environmental influence, realize the transparent, fair, dynamic evaluation of ship " pure technology " energy efficiency state. Including the following steps: S100: carry out quasi-steady state trend test: for the parameter susceptible to ship maneuvering, system uses sliding time window to combine linear regression slope test method to distinguish;S200: carry out environmental self-adaptive threshold adjustment: for the fluctuation screening of speed, shaft speed and other parameters, system introduces the correlation factor of sea state, no longer uses fixed standard deviation threshold;S300: carry out physical validity final screening: the data reserved after above-mentioned step, finally carries out physical boundary check;S400: through core calculation engine module, input cleaned data set, calculate output index and its confidence interval;S500: carry out fault root cause analysis;S600: complete evaluation.

This invention belongs to the field of wave height prediction technology and discloses a wave prediction method that considers the evolution characteristics of the marine environment. The method includes the following steps: (1) collecting historical data on significant wave height, average period, and wind speed of waves in the target sea area and processing the data; (2) performing seasonal trend decomposition on the significant wave height sequence to obtain trend terms, seasonal terms, and residual terms; (3) calculating wind and wave response indices based on wind speed changes, wave average period changes, and significant wave height changes; (4) generating wind and wave response state weights and using these weights to adjust the influence of different historical time steps, different wave height components, and meteorological and oceanographic elements in the prediction process; (5) correcting the prediction contributions of the trend terms, seasonal terms, and residual terms with weights, and reconstructing the predicted future significant wave height. This invention can improve the stability of significant wave height prediction during periods of significant wind speed changes or sea state transitions.

The present application relates to the field of water traffic technology, and more particularly to a kind of pure battery power ship's voyage endurance optimization control method.The technical scheme includes: through the real-time acquisition of ship operation and sea state data by multi-sensor fusion, energy change model under the action of wave potential energy and tidal kinetic energy is constructed, energy envelope curve reflecting the cooperative relationship between battery energy and external energy is generated, central control system dynamically adjusts propelling power and rudder angle according to the curve, energy-saving navigation matching with wave period is realized, when detecting continuous wave rising section, intermittent propelling mode is triggered, so that ship body glides with the help of wave potential energy to reduce energy consumption, and the system uses self-learning algorithm to combine historical navigation and real-time sea state data to iteratively optimize control parameters.The present application successfully converts marine environment from resistance source to boost force by integrating environmental perception, energy modeling, intelligent decision-making and cooperative control, and realizes the improvement of pure battery power ship's voyage endurance capability.

This invention discloses a constant false alarm rate (CFAR) detection system and method for small sea surface targets based on feature game theory, relating to the field of radar signal processing technology. The system and method provided by this invention can be used for small sea surface target detection. It includes: extracting potential high-dimensional nonlinear features from the radar received signal using a feature extractor module; transforming the target detection problem into a binary classification problem using a target detector module to obtain the probability prediction result of the target detection task; and using the output feature vector of the feature extractor module and the probability density function of the target detector module as the input of a sea state discriminator module; and training the sea state discriminator module based on feature game learning to obtain the label distribution for different sea state environments. Therefore, using the above method, the detection of small sea surface targets under time-varying sea states is achieved, improving the detection rate and reducing the false alarm rate, while also exhibiting strong robustness.

This invention discloses a pre-handover method for maritime fleet communication relays based on sea state prediction, comprising: Step 1, collecting and fusing multi-source data; Step 2, constructing a joint digital twin simulation engine for sea state and electromagnetic environment, inputting multi-source data into the digital twin simulation engine, and calculating the expected channel quality parameters and prediction confidence of each relay link in each time period within the next N hours through multi-physics coupling simulation; Step 3, arranging the expected channel quality parameters of each link in the future time period in chronological order to generate the expected channel quality change curve of each relay link; Step 4, conducting a cascade failure risk assessment, and then determining whether to execute a step-by-step link handover based on the pre-handover trigger; Step 5, with the optimization objective of minimizing the weighted sum of handover interruption risk, link resource waste, cascade failure loss, and information timeliness degradation, jointly solving for the optimal pre-handover timing, optimal target link, and optimal relay type combination, and performing adaptive handover.

The application discloses a marine buoy multi-source fusion positioning method and system based on a factor graph optimization, which acquires GNSS observation data, IMU measurement data and marine environment auxiliary data; a factor graph containing state nodes, GNSS position factors, IMU pre-integration factors and marine dynamics constraint factors is constructed, and wave and current theories are used to constrain buoy movement; in view of multipath effects, marine surface reflection geometry and marine root mean square wave height are combined to calculate a multipath weighting factor, and a GNSS covariance matrix is adaptively adjusted; according to IMU data, a sea state level is discriminated, and an edge window length and a trigger interval of incremental smoothing solving are adaptively linked and adjusted; through adjacent buoy ranging information, collaborative constraints are constructed, and based on Mahalanobis distance and chi-square distribution threshold value detection, abnormalities are detected and local reconstruction is performed. The application effectively suppresses marine surface multipath interference, slows down the accumulation of calculation errors during signal interruption, and realizes high-availability continuous positioning under limited computing power.

The application discloses a marine GNSS buoy environment perception measurement covariance dynamics modeling method, and relates to the technical field of marine observation and satellite navigation. The method comprises the following steps: collecting buoy multi-source sensor data to extract a standardized feature vector; hierarchically encoding wave and tide and other multi-scale marine environment features; combining a wave state parameter driven attention mechanism to quantify the sea surface multipath effect; using a multilayer perception machine and a decomposition algorithm to deduce a process noise matrix; modeling the measurement noise covariance evolution as a differential equation driven by the matrix, and applying a sea state adaptive spectrum constraint; triggering a hierarchical safety fallback strategy according to the monitoring index of the covariance matrix; and injecting the safety covariance matrix into a fusion filter to perform parameter extraction and alarm. The application ensures the smoothness and stability of the covariance evolution from the mathematical structure, takes into account the environmental adaptive capability, and guarantees the reliable positioning and operation of the buoy in extreme sea conditions.

This invention belongs to the technical field of intelligent equipment and unmanned systems for marine fisheries, and particularly relates to a feeding equipment and operation method for marine fisheries drones adapted to high sea states. An environmental perception module acquires environmental information data and attitude data of the flight platform. The operation control terminal controls the attitude compensation mechanism based on the attitude data to ensure that the discharge port of the centrifugal feeding device always remains vertically downward. Simultaneously, based on real-time environmental information data and its built-in feeding trajectory correction model, the operation control terminal calculates the feed landing point offset and accurately corrects the landing point by controlling the flight platform to perform position compensation and / or velocity compensation. This invention improves the flight stability and anti-drift capability of drones in turbulent airflows at high sea states, actively counteracts the impact of wind damage and platform tilt on accuracy, achieves high-precision and uniform feeding under harsh sea conditions, and significantly reduces feed waste and operational risks.

This application discloses a wave data processing method and related apparatus. The method includes: acquiring the wave energy spectrum of an offshore wind turbine at multiple wind speeds. This wave energy spectrum describes the energy distribution of waves as a function of frequency and direction. The wave energy spectrum not only incorporates information about the directional dimension but also reflects the continuous variation of wave energy with frequency and direction, providing more detailed sea state information. Then, the wave energy spectrum at multiple wind speeds is condensed to obtain an equivalent energy spectrum. The equivalent energy spectrum obtained by condensing the wave energy spectrum retains more detailed sea state information, reflecting more dimensions and more detailed representative sea states. Finally, the fatigue load of the offshore wind turbine is determined based on the equivalent energy spectrum. Therefore, the more dimensional and continuous equivalent energy spectrum not only reduces the number of sea states used to calculate the fatigue load, improving computational efficiency, but also improves the accuracy of the fatigue load calculation.

The invention discloses a self-adaptive anti-interference floating type wind power foundation structure type and an intelligent construction method. The method comprises the steps that wind, wave and flow loads, structural geometry, mass distribution and other multi-dimensional parameters are collected through an extreme sea condition construction simulation platform; a floating foundation multi-body coupling dynamic model is used for analyzing structure stress transmission and deformation characteristics, a wind turbine generator attitude anti-interference control model is used for regulating and controlling cabin, blade and tower space attitudes in real time, and an intelligent construction error compensation prediction algorithm is used for calculating and predicting construction errors such as positioning and butt joint; the construction process is rehearsed through the simulation platform, parameters are optimized, and floating foundation installation, wind turbine generator hoisting and structure butt joint are completed according to an optimization scheme. According to the method, a cooperative regulation and control system of parameter acquisition, model analysis, error prediction, scheme optimization and construction execution is formed, the construction precision and stability are improved, and reliable technical support is provided for deep and far sea wind power structure construction.

The application relates to the technical field of marine ecological disaster monitoring, and discloses a green algae area estimation method based on an unmanned aerial vehicle non-orthographic operation mode, which comprises the following steps: firstly, spectrum energy analysis is used to determine a sea state mode and to inversely calculate a basic wave height, a vertical non-uniform atmospheric extinction model is constructed to perform physical defogging; secondly, a fluid-solid coupling damping coefficient is inversely calculated based on texture entropy and glare characteristics, and a green algae microscopic equivalent mean square slope is corrected; finally, pixel-level macroscopic slant range projection, a wave shielding compensation factor and a microscopic surface area correction factor are comprehensively used, and a Sigmoid smoothing truncation weight function is combined to calculate a green algae physical total surface area. The application solves the measurement error caused by the non-uniformity of atmospheric medium, wave shielding and the absence of microscopic geometric characteristics under non-orthographic observation, and significantly improves the monitoring accuracy under complex sea conditions.

This invention discloses a method and system for predicting ship stall based on a fusion of physical models and data-driven approaches. The method includes: acquiring ship navigation data and marine environment data; preprocessing and fusing the ship navigation data and marine environment data from multiple sources to obtain a modeling feature set; identifying the current sea state scenario based on the modeling feature set, and adaptively selecting a target physical model according to the current sea state scenario to calculate the physical baseline stall; obtaining a data-driven prediction result based on the modeling feature set using a pre-trained data-driven prediction model; and coupling the physical baseline stall with the data-driven prediction result using a fusion mechanism to output the ship stall prediction result. This significantly improves the accuracy, robustness, and cross-scenario generalization ability of ship stall prediction under different wind and wave scenarios.

This invention proposes an intelligent monitoring system and method for marine ecological environment based on a buoy carrier. The method includes: constructing a current environmental state vector; filtering similar historical segments to generate a normal state benchmark adapted to the current sea state; generating suspected anomaly intensities by comparing and calculating the proportion of out-of-bounds components with cooperative deviations; and continuously confirming suspected anomalies using a time-weighted cumulative algorithm, outputting the time-cumulative confirmation intensity. When the intensity exceeds a threshold, it is determined to be a real anomaly and a response is triggered. The system includes an environmental state processing unit, a normal state benchmark generation unit, a suspected anomaly identification unit, and a continuous confirmation and response execution unit. This invention solves the problem that fixed thresholds are difficult to distinguish between normal fluctuations and real anomalies, achieving reliable identification and rapid on-site response to marine ecological environment anomalies, and is applicable to nuclear power plant cold source early warning and marine ranch monitoring scenarios.

The application discloses an intelligent control system of a marine unmanned platform boarding device, comprising a sensing unit composed of a laser radar, a camera and an inclination sensor, and a control unit composed of an industrial computer; the sensing unit is used for acquiring deck distance data, deck image data and ship body posture data; the control unit prestores a system parameter table based on historical safety sample calibration, and performs credibility screening, safe docking window determination, variable speed control and closed loop correction on multi-source state data based on the system parameter table; when detecting sea state change, communication anomaly or power supply anomaly, the control system enters a degradation control state, so as to realize one-key boarding and one-key evacuation between the marine platform and the operation and maintenance ship, and improve the safety, stability and automation level under complex sea conditions.

This invention provides a method and apparatus for constructing a safety envelope for a hovercraft, relating to the field of marine technology, and particularly to a technology for assessing and controlling ship navigation safety. More specifically, this invention discloses a method for constructing a safety envelope for a hovercraft that considers multi-degree-of-freedom coupling for different sea states. The method for constructing the safety envelope of a hovercraft includes: obtaining a preset four-degree-of-freedom motion model of the hovercraft, wherein the four-degree-of-freedom motion model is used to characterize the coupling relationship of the hovercraft's sway, roll, heel, and yaw motions; for at least one preset sea state, based on the four-degree-of-freedom motion model, systematically traversing a set of coupled state parameters including longitudinal motion, lateral motion, heel motion, and rotational motion, and judging the motion stability under each parameter combination to determine a set of stable state boundaries under the sea state; and generating a multi-dimensional safety envelope that characterizes the intrinsic correlation of the multiple coupled state parameters and corresponds to the sea state based on the set of stable state boundaries. Through the above steps, this invention can comprehensively consider the high-order nonlinear strongly coupled motion characteristics of the hovercraft and external environmental interference, thereby comprehensively constructing its high-dimensional safety envelope.

The application discloses a dual-mode satellite communication position indication and warning device and method based on sea state and attitude sensing, and relates to the technical fields of satellite communication and distress rescue. The device comprises an inertial measurement module for collecting real-time attitude data of the device; a Beidou satellite communication module for reporting first position data through a Beidou satellite link; a low-orbit satellite communication module for reporting second position data through a low-orbit satellite link; and a main control board for evaluating a current sea state level according to the attitude data. The application can sense the sea state in real time and adaptively switch the communication mode, enters the Beidou single-mode energy-saving mode in a low sea state, and automatically wakes up the low-orbit satellite communication module to realize redundant parallel communication of the Beidou and the low-orbit satellite in a high sea state, so that the continuous and reliable reporting of the position data is ensured under the whole sea state condition, the communication success rate in the high sea state is improved, and the overall power consumption is reduced.

This invention discloses a Bayesian inversion extraction method for the equilibrium signal of wide-span altimeter data. The method involves acquiring and preprocessing sea surface height anomaly sequences from radar interferometers and nadir altimeters. A normalized sine square window function is applied for windowing, and multidimensional spatial averaging is used to estimate the one-dimensional wavenumber power spectrum. A piecewise power law-based equilibrium signal spectrum model and a noise spectrum model constrained by dynamic sea state are constructed, and the set of spectral parameters is extracted through logarithmic domain weighted least squares fitting. A set of spatial covariance matrices is constructed using cosine integral transform and Abelian forward and inverse transforms. A graphics processor is scheduled to perform batch matrix decomposition and singular fault-tolerant regularized inversion to solve for the posterior mean vector and posterior covariance matrix of the target equilibrium signal. Window fusion and index mapping are applied to fill the gaps in nadir observations. Geostrophic dynamics parameters are calculated, uncertainty quantification is performed based on the linear error propagation law, and the knowledge base is updated based on the exponential moving average algorithm. This invention achieves suppression of observation noise and physical filling of observation gaps, improving the adaptability of the inversion system to environmental changes while preserving non-Gaussian dynamic characteristics.

This invention discloses an integrated wave damping and wave energy generation device for steady-state control of offshore wind turbine platforms. The device includes floats alternately arranged around the floating platform and a dual-dimensional adjustable wave damping plate. The dual-dimensional adjustable wave damping plate has a fixed perforated plate and a movable perforated plate. The movable perforated plate can move relative to the fixed perforated plate to adjust the overlap area of ​​the through-holes in the two plates, thereby adjusting the permeability of the wave damping plate. Simultaneously, the pitch angle of the dual-dimensional adjustable wave damping plate is adjustable. The dual-dimensional adjustable wave damping plate and the power generation module are integrated. When waves push the dual-dimensional adjustable wave damping plate to swing, the power generation module can generate electricity. Under different wave conditions, the dual-dimensional adjustable wave damping plate adopts different pitch angles and perforations. In extreme sea states, the wave damping plate is vertically locked and the perforations are adjusted to high permeability and large opening. This invention achieves synergistic coupling of wave damping and wave energy generation, while possessing wave condition adaptive control capabilities and extreme sea state coping capabilities.

This invention discloses a method and system for locating and targeting damaged netting in deep-sea cages, relating to the field of marine engineering technology. It simultaneously collects time-history data of netting tension and wave height; derives amplitude-frequency response operators for wave excitation and tension response, combines coherence function verification, and extracts the transfer function distortion rate by comparing with a healthy baseline state to trigger a local early warning; extracts the out-of-limit weights of abnormal measurement points, calculates the three-dimensional target coordinates of suspected damaged meshes, and sends them to an underwater robot; the underwater robot navigates to these target coordinates, uses a graph-based visual feature recognition algorithm to extract netting knots and anchor points to construct a topology map, and diagnoses netting breakage through topological anomalies. This invention employs the aforementioned method and system for locating and targeting damaged netting in deep-sea cages, utilizing frequency domain features to reveal structural stiffness degradation, effectively filtering out random sea state interference, and achieving a closed-loop electromechanical collaborative targeted inspection with high interference resistance, low computational consumption, and high efficiency.

The application discloses a kind of pneumatic wave energy generation device, belongs to wave energy generation technical field, to solve pneumatic wave energy generation device when using, in the conventional sea state of weak wave intensity, wave amplitude is smaller, device power generation efficiency is greatly reduced, power output is intermittent and unstable, simultaneously under extreme weather conditions, seawater level is easily rapidly raised and exceeds airflow passage height, causes electrical components short circuit, metal component corrosion damage, affect device service life problem, application includes inclined channel, one side of inclined channel is communicated with horizontal channel, radar liquid level meter is installed on the inner wall top of inclined channel, air pressure sensor is installed on the inner wall top of horizontal channel, the present application can be dynamically reduced when sea wave intensity is insufficient Chamber volume, shrink airflow passage cross-sectional area, improve the fluctuation amplitude of chamber air pressure and airflow kinetic energy, make up the defect that fixed volume chamber is poorly adapted, improve the power generation efficiency under low wave working condition.

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.