104 results about "Wave period" patented technology

A Beidou / GNSS-based real-time high-precision sea surface measurement method and a buoy, wherein by using free-to-use broadcast ephemeris freely broadcast by GNSS satellites, precise point positioning of China's Beidou satellites, and other high-precision service space signals, real-time centimeter-level element information comprising time, longitude, latitude, water level, wave height, wave period, wave direction, sea surface current velocity and direction, atmospheric water vapor content, and the like can be directly obtained. The information can be stored locally in a buoy or transmitted back by communication, and is suitable for real-time high-precision sea surface measurements in offshore and far-sea scenarios.

The invention discloses an ocean and atmosphere multi-physical field prediction method and system based on a multi-scale map neural network, electronic equipment and a medium, and mainly solves the problems of one-sidedness and lack of ocean and atmosphere physical field interaction mechanisms in ocean-atmosphere coupling modeling in the prior art. According to the implementation scheme, ocean and atmosphere historical observation data are obtained and preprocessed; a multi-scale graph neural network model comprising an encoder, multiple grids, a processor and a decoder is constructed, the multiple grids are connected with a local high-resolution grid and a global low-resolution grid through shared nodes and cross-scale edges, and bidirectional information flow is achieved; iteratively optimizing parameters of the multi-scale graph neural network model by using the training set; and the performance of the model is evaluated and optimized through the test set, and finally a high-precision prediction result is generated. The method can synchronously predict the multi-physical field parameters such as the hybrid wave height, the wave period, the temperature and the wind speed, remarkably improves the calculation efficiency and the prediction precision, and can be widely applied to global climate analysis, marine disaster early warning and air-sea interaction research.

The invention discloses a non-contact wave measurement method and device based on machine vision. The method comprises the steps that a multi-view imaging system is used for synchronously shooting from multiple vision; the shot image is subjected to standardization processing, a wave surface image is obtained, the standardization processing comprises color adjustment, noise reduction processing, data enhancement, texture analysis and edge detection and frequency domain analysis, and the wave surface image comprises at least two complete wave periods; and performing image analysis on the wave surface image by using a pre-trained convolutional neural network to obtain a wave height prediction value. The problems that a traditional monitoring method needs to make contact with a measured object and the environment, deployment is complex, and the method is prone to being affected by the marine environment can be solved.

The present invention discloses a method and system for detecting thin coal seams based on the attenuation of the period amplitude of refracted waves, including: S1 Instrument layout: The seismic survey line consists of S excitation points and R receiving points; the total number of seismic data d i (t) is formed through signal acquisition and data transmission between the excitation points and the receiving points; S2 Obtaining formation data and calculating the refracted wave period: Obtaining the longitudinal wave velocity v r of the surrounding rock and the longitudinal wave velocity v c of the coal seam, measuring the thickness h of the coal seam exposed in the roadway on the sidewall of the roadway, and calculating the refracted wave period T; S3 Processing d i (t) to obtain the seismic data s i (t) after deconvolution and in-trace equalization; obtaining the amplitude ratio of the seismic data s i (t) to the reference trace s0(t) at the n p th order as the refracted wave period amplitude coefficient a p of point P, and the numerical value of a p reflects the thickness of the coal seam at point P. The refracted wave of the coal seam used in the present invention is another underground seismic wave generated simultaneously with the trough wave. Using the refracted wave can more accurately interpret the boundary of the thin coal seam, improving the coal mining work efficiency and resource utilization rate.

The invention discloses a ship engine control system, and relates to the technical field of engine control. A ship engine control system comprises a data processing module, a data prediction module, a decision optimization module, a parameter generation module and a control execution module. According to the invention, a plurality of disturbance prediction parameters such as surge arrival time, environment temperature change, port congestion, pitching and rolling change trend, wave period and countercurrent intensity change trend are fused in the data prediction module, and a disturbance arrival time window and an intensity level are calculated, so that potential navigation disturbance is identified in advance; and a basis is provided for feed-forward adjustment of power distribution and combustion control, so that active intervention is realized before disturbance occurs.

The utility model discloses a simulation six-degree-of-freedom real sea condition random wave detection system suitable for a wave buoy or a wave sensor. The simulation six-degree-of-freedom real sea condition random wave detection system is composed of the following parts: a wave direction reproduction mechanism which simulates a real sea condition sea surface motion attitude, places the wave buoy or the wave sensor and provides the motion attitude of the wave buoy or the wave sensor; the horizontal rotation driving mechanism is used for driving the wave direction reproduction mechanism to horizontally rotate; the laser ranging mechanism is used for calculating the wave height of the wave direction reproduction mechanism; the photoelectric period measuring mechanism is used for calculating the wave period of the wave direction reproduction mechanism; the wave direction angle measuring mechanism is used for measuring the wave direction of the wave direction reproduction mechanism; the bottom plate mechanism provides a detection platform for the whole system; the overall angle measuring mechanism is used for indicating the azimuth angle of the bottom plate mechanism; the land wheel mechanism horizontally moves the whole system and adjusts the bottom plate mechanism to be in a horizontal posture; and the control unit is used for controlling six-degree-of-freedom actions of the wave direction reproduction mechanism, respectively acquiring data of each mechanism and acquiring wave direction, wave height and wave period numerical values. According to the utility model, all-parameter detection and calibration can be realized, and high-quality reproduction and magnitude transmission of wave direction parameters can be realized.

The invention discloses a river water level detection method, and relates to the technical field of computer processing, and the method comprises the following steps: S01, presetting a distributed pressure sensor array in each target collection region to obtain underwater pressure data k and real-time water flow data v of a plurality of target collection regions of a river to be detected; s02, establishing a dynamic pressure water level model based on the water flow direction pressure conduction quantity estimation of the plurality of target acquisition areas in combination with real-time water flow velocity and wave period parameters; s03, performing signal attenuation compensation on the underwater pressure data according to the dynamic pressure water level model to obtain initial water level data; s04, multi-source data fusion calibration is carried out on the preliminary water level data, a river water level detection result is generated, and the result comprises a wave height frequency spectrum and a water level change curve after peak elimination correction; and S05, generating a wave energy spectral density map according to the calibrated water level data, performing real-time comparison according to the wave energy spectral density map and a preset threshold value, and performing result return according to a comparison structure. The small-wave-height short-period wave measurement precision and the water level detection reliability are remarkably improved, the intelligent flood prevention early warning and dynamic adjusting capacity is achieved, and it is guaranteed that data collection is accurate and consistent.

The invention discloses a wave generation-flow generation-vibration table combined loading method based on test wave elements, and the method comprises the steps: starting a flow generation device to form a stable flow field, and monitoring the flow velocity uniformity in real time through a flow velocity sensor; starting wave making equipment to generate a target wave, synchronously acquiring wave crest arrival time through a wave sensor arranged along the wave propagation direction, and calculating a wave period and a wave propagation speed; selecting the wave crest of the wave period of the target characteristic wave, calculating the phase time offset according to the phase of the target characteristic wave, and calculating the propagation time of the target characteristic wave based on the wave propagation speed, the horizontal distance from the wave sensor to the center of the vibration table and the phase time offset; and obtaining the initial loading time of the vibration table, and calculating the final starting time of the vibration table according to the initial loading time of the vibration table and the target characteristic wave propagation time. According to the invention, the loading time sequence and parameters of the vibration table are accurately controlled, and accurate and synchronous loading of waves, ocean currents and vibration is realized.

The invention discloses a method for determining the crest elevation of a rolling type earth and rockfill dam in water conservancy and hydropower engineering. Comprising the following steps: collecting meteorological data, determining a calculated wind speed, determining a water area plane, determining an equivalent wind area length, determining a water area average depth, determining an average wave height and an average wave period, determining an average wavelength, determining a designed wave climb height, determining a wind congestion water surface height, determining a safe height, determining a dam body total superelevation, and determining a wave wall height. And determining the dam crest elevation. The method is suitable for earth and rockfill dams such as clay core-wall rockfill dams, asphalt concrete core-wall rockfill dams, asphalt concrete face rockfill dams, concrete face rockfill dams and homogeneous dams. The method not only has scientificity, accuracy, comprehensiveness, systematicness, safety and economical efficiency, but also is easy to popularize and apply, and has important significance for improving the accuracy and safety of dam design.

The invention discloses a real-time monitoring and analyzing method and system for underwater settlement deformation, and belongs to the technical field of marine surveying and mapping and deformation monitoring. The method comprises the following steps: calculating wave height, wave period and wave direction elements of waves through a water surface fluctuation inversion model; carrying out denoising processing on the obtained water depth data; a gyroscope and a GNSS buoy are used for dynamic wave measurement, and sea level and wave information is separated through low-pass filtering according to the frequency spectrum characteristic difference of the sea level and waves so as to correct the attitude of the buoy; the buoy measurement data and the water depth data collected by the pressure sensor are synchronized, the water surface height right above the measurement pile is calculated in combination with a water surface fluctuation inversion model, and the real-time elevation of the water bottom is obtained; and according to the water bottom real-time elevation and the water bottom settlement grade division standard, triggering early warning of a preset grade through the data cloud platform. According to the invention, real-time monitoring of underwater settlement deformation is realized, the monitoring period is shortened, the monitoring timeliness is improved, and the underwater settlement risk is found in time.

The invention provides a safety management system and method for an offshore wind turbine generator, and relates to the technical field of offshore wind power. Comprising a meteorological sensing subsystem, a wave analysis subsystem, a dynamic modeling subsystem and a safety regulation and control subsystem, wherein the meteorological sensing subsystem comprises a wind speed monitoring module, an air pressure monitoring module, a temperature and humidity monitoring module and a data fusion module; the wave analysis subsystem comprises a wave height monitoring module, a wave period monitoring module, a wave direction monitoring module and a wave coupling calculation module; the dynamic modeling subsystem comprises a kinematics modeling module, a dynamics modeling module, a wind wheel load calculation module and a platform stability evaluation module; the safety regulation and control subsystem comprises a wind speed sudden change response module, a wave coupling optimization module, a platform posture adjustment module and an emergency shutdown module. According to the scheme, the operation safety of the offshore wind turbine generator is improved.

The embodiment of the invention discloses an electric leakage detection method, device and equipment, a medium and a program product. Comprising the steps of obtaining a to-be-processed signal in an electric leakage judgment period; according to the to-be-processed signal, waveform peak points in the electric leakage determination period and peak left edge points corresponding to the waveform peak points are determined; determining every two adjacent peak left edge points as a peak left edge point group, and counting the total sampling number and the trough sampling number corresponding to each peak left edge point group; according to each total sampling number, each trough sampling number, a preset correction wave period sampling number lower limit value, a preset correction wave period sampling number upper limit value and a preset trough sampling number threshold value, determining a leakage waveform from correction waveforms corresponding to each peak left edge point group; and determining an electric leakage detection result according to the distribution condition of each electric leakage waveform in the electric leakage judgment period. The complexity and the data operand of a circuit required by electric leakage detection are reduced, and the stability and the universality of electric leakage detection are improved.

The application discloses an asymmetric phase-shifting control method suitable for a half-wave shaping MMC, and can realize wide-range operation energy balance of a converter. The method is characterized in that, in a 2pi period, a commutation unit switching function and a multi-level unit modulation voltage are not switched in a half-wave period pi, but in a positive half-wave mode, [0, pi] is taken as a reference to expand and shift an angle theta to the left and right, that is, the interval is [-theta, pi+theta], and in a negative half-wave mode, [pi, 2pi] is taken as a reference to shrink and shift an angle theta to the left and right, that is, the interval is [pi+theta, 2pi-theta]. The application adopts an asymmetric phase-shifting modulation method, generates and reverses polarities of two asymmetric partial sine waves through a commutation switch cooperating with a multi-level unit, and obtains a complete multi-level sine wave on an alternating current side. The application can eliminate the limitation of a power factor angle on a phase-shifting angle while realizing wide-range energy balance of the converter, is only affected by a modulation ratio, and compared with symmetric phase-shifting modulation, is beneficial to simplifying commutation control logic when the system is in a wide-range reactive power regulation, and has better engineering application value.

The present invention provides a method for inverting seawater depth that integrates a numerical wave evolution model, comprising the following steps: Step 1: Obtaining the wave number of any sea area using remote sensing imagery; Step 2: Obtaining the characteristic wave period of offshore waves in a specific sea area; Step 3: Calculating the water depth based on the wave number and characteristic wave period using the dispersion relationship corresponding to linear wave theory; Step 4: Calculating the wave height and wave number using a numerical wave model; Step 5: Inverting the wave height and wave number using the nonlinear dispersion relationship to obtain the corrected water depth within the area of ​​interest; Step 6: Calculating the final water depth within the area of ​​interest using the numerical wave model based on the corrected water depth. The bathymetric model developed by the present invention is suitable for sea areas with relatively deeper water depths. In particular, the use of wave number information to obtain water depth significantly improves accuracy compared to methods using remote sensing wave height inversion. Furthermore, this method is fast and applicable to large-scale water depth calculations, making it suitable for rapid surveys of coastal resources.

According to the ship stabilization system based on the electromagnetic actuators and the control method, the upper electromagnetic actuator, the lower electromagnetic actuator, the left electromagnetic actuator and the right electromagnetic actuator serve as executing mechanisms and are arranged on the upper portion, the lower portion, the left portion and the right portion of the central axis of a ship respectively. Rapid response in a full-wave period range is achieved, hydraulic oil or water tank liquid is not needed, a pure electrification scheme is adopted, energy consumption is low, occupied space is small, maintenance convenience is high, and an excellent stabilization effect is achieved; according to the method, actual current output values of the upper electromagnetic actuator, the lower electromagnetic actuator, the left electromagnetic actuator and the right electromagnetic actuator can be solved according to attitude signals collected by a ship, inherent parameters of the ship and a ship rolling kinetic equation, and the service life balance of the electromagnetic actuators and the reliable stabilization effect of the system are achieved. And the method is of great significance in improving the safety and comfort of the ship.

The invention discloses a sea-gas interface momentum flux calculation method coupled with sea wave data, and relates to the technical field of marine atmospheric boundary layer flux observation, and the method comprises the steps: carrying out the threshold screening and wild point removal processing of turbulence flux elements needed by the calculation based on a vortex correlation method, and carrying out the coordinate rotation of a three-dimensional wind speed; processing the obtained sea surface fluctuation data to obtain a sea wave spectrum and a wave parameter, and calculating a combined field peak parameter Qp based on the sea wave spectrum; on the basis of the Monin-Obhoff similarity theory, the Monin-Obhoff length, the atmospheric stability and the wind speed U10 of 10 meters on the sea are calculated; based on the data, the friction speed is split into a wind speed item and a wave mixing item for fitting, and finally the momentum flux is obtained. According to the method, key data such as the wave period and the wave direction of the sea waves are coupled into a calculation system, the Hendan peak parameter is introduced to represent the sea wave state, the influence of the sea waves on the momentum flux is comprehensively considered, the calculation precision is improved, and meanwhile the requirement for an observation instrument is lowered.

A terminal device 16: acquires, by a set parameter acquisition unit 1611 and as the value of a set parameter, a set value of a rotation speed of a propeller shaft 12 of a ship which is sailing a real sea area; and acquires, by a realized parameter acquisition unit 1612 and as the values of realized parameters, the values of a wave direction, a wave period, a wave height, a tidal direction, a tidal speed, a wind direction, a wind speed, draft, and a travelling direction of the ship which is sailing the real sea area. The terminal device 16 identifies, by a moment-of-inertia identification unit 1616 and through using a machine learning model L, the value of an inertia parameter of a flywheel according to the combination of the acquired values of the parameters. The value of the inertia parameter is for reducing the energy consumption rate of the ship. The terminal device 16 outputs, to a flywheel system comprising a function for changing the moment of inertia of the flywheel, moment-of-inertia data indicating the value of the moment-of-inertia identified by the moment of inertia identification unit 1616.

This invention proposes an automated measurement and verification method for multi-source wave parameters based on neural networks. This method can quantitatively calculate and acquire wave elements, improving the accuracy of wave element measurement. The invention extracts video images frame by frame from nearshore monitoring videos, extracts the features of the buoy based on its motion state on the sea surface, and quantitatively calculates and acquires wave elements, mainly including effective wave period, effective wave height, and wave direction. Simultaneously, it acquires effective wave period, effective wave height, and wave direction information through the wave sensor built into the float, and calculates the wave direction using the float's Beidou module and anchor position. By comparing and verifying in-situ measurements from the float with non-contact measurements from a camera, the methods complement each other, improving the accuracy of wave element measurement.

The present invention relates to the technical field of wave energy power generation buoys, and more specifically to a variable-diameter wave energy power generation buoy and method. The variable-diameter wave energy power generation buoy includes a main barrel cover and a waterproof rubber ring. The bottom of the main barrel cover is provided with an annular chassis, and the waterproof rubber ring encloses the chassis. An installation cavity is provided between the main barrel cover and the chassis. The installation cavity is provided with an expansion mechanism for controlling the expansion and contraction of the waterproof rubber ring and a sensor for collecting wave period data. The present invention replaces the traditional power drive system with an innovatively designed adaptive geometric adjustment mechanism, and dynamically optimizes the buoy diameter parameters in combination with real-time wave monitoring data, thereby forming a wave energy power generation solution that combines the advantages of energy conversion efficiency with practical engineering value.

The present invention relates to a wave sensor detection system and control method based on a wave spectrum, belonging to the technical field of ocean observation. The wave sensor detection system includes: an X-axis motion module, a Y-axis motion module, a Z-axis motion module, an A-axis motion module, a B-axis motion module, a C-axis motion module, and a control system; the control system calculates the three-dimensional translational motion of wave points on the wave surface, the two-dimensional morphological changes of the wave surface, and the rotational motion of the sensor carrier based on the P-M wave spectrum, the ITTC directional distribution function, the Gerstner ocean wave model, and the linear superposition theory, and controls the wave sensor detection system to simulate the six-dimensional motion state of the sensor in the ocean wave environment for detecting and verifying the measurement of comprehensive characteristic parameters such as wave height, wave period, wave direction, wave energy spectrum, and wave direction spectrum by the wave sensor.

The invention relates to the technical field of tsunami monitoring, and discloses a tsunami monitoring and early warning method and system with multi-source interference compensation and a storage medium, the tsunami monitoring and early warning method with multi-source interference compensation comprises the following steps: S1, collecting seabed pressure, atmospheric pressure, temperature and humidity, wind speed, wind direction and wave data; the wave data at least comprise wave height, wave period and wave direction; s2, transmitting the acquired data to a shore-based tsunami data monitoring and early warning platform through a satellite communication system; s3, supplementing the data at different sampling intervals, and filtering abnormal data; and S4, dynamically distributing the weights of the seabed pressure, the atmospheric pressure and the wave data by adopting a weighted fusion algorithm, and generating comprehensive monitoring data and the like. According to the method, the tsunami monitoring accuracy is effectively improved, the tsunami can effectively work in different sea areas and under different environment conditions, and the adaptability of the system is improved.

This invention relates to the field of marine resource assessment technology, and particularly to a method and apparatus for refined assessment of marine wave energy resources. The method includes: acquiring wind field data, water depth and topography data, and boundary wave data of the target sea area to be analyzed; constructing a nested grid wave numerical model; based on the wave numerical model, obtaining wave elements for each moment within at least one complete climatic year, including significant wave height and wave period; based on the wave elements of the inner and outer grids, obtaining the target wave energy flux density corresponding to each inner grid; and based on the target wave energy flux density, obtaining the resource utilization rate, average wave energy flux density, significant wave occurrence frequency, and resource stability of each inner grid in the target sea area, thereby conducting a refined assessment of the wave energy resources of each inner grid in the target sea area. The above technical solution enables a refined assessment of wave energy resources in the target sea area, providing technical support for wave energy development.

The present invention relates to a ballast water tank adjustment method for a backward bent pipe wave energy power generation device. The method comprises the following steps: obtaining historical sea condition data of a working sea area, analyzing and obtaining n possible sea conditions in the sea area; presetting a corresponding ballast scheme for a buoyancy tank for each sea condition; monitoring the sea condition of the sea area at intervals of T after the wave energy power generation device is deployed in the working sea area; matching the monitored sea condition to one of the n preset sea conditions, and adjusting to the corresponding ballast scheme; and changing the state of each small ballast water tank so that the natural period of the adjusted pitching motion is the same as or relatively close to the wave period of the current sea condition. When the wave energy power generation device is acted upon by waves, a violent resonant motion will occur in the pitching direction, so that the pitching motion always maintains a large motion amplitude, and the wave energy power generation device maintains a high level of power generation efficiency.

The invention provides a dynamic Copula extreme wave energy prediction method based on wind speed covariant full-link driving. The dynamic Copula extreme wave energy prediction method is applied to safety evaluation of ocean engineering and a wave energy power generation system. Firstly, B-spline-logarithmic normal edge distribution with wind speed as a covariable is constructed through data preprocessing, and dynamic changes of wave height and wave period parameters along with the wind speed are described; secondly, selecting an optimal Copula function, coupling a Copula parameter with the wind speed through Logistic mapping, and establishing a dynamic dependency structure model; then, dividing a low wind speed interval, a medium wind speed interval and a high wind speed interval, and verifying the fitting precision of the model in each interval and extreme wave energy over-limit probability prediction performance; and finally, integrating edge distribution and dynamic Copula, and constructing a wind speed driven wave element joint probability prediction model. Compared with a traditional static model, the method can accurately capture the regulation and control effect of the wind speed on the wave height-wave period dependency relationship, remarkably improves the prediction accuracy of an extreme wave energy event, and provides reliable support for ocean engineering safety and wave energy power station operation.

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.

The invention discloses a wave reduction type offshore photovoltaic array based on a wave reflection principle and a design method, and belongs to the technical field of renewable energy source development. Establishing a cylindrical buoy array frequency domain hydrodynamic model, calculating wave transmission indexes of different parameter combinations in the target wave period range, and determining candidate parameter combinations according to the wave transmission indexes; establishing a structural finite element model of the reflection unit group based on the candidate parameter combination, and performing strength check; a coupling dynamic model of the array structure and the mooring system is established, motion response and mooring stress are calculated, and judgment is carried out based on a preset criterion; outputting a reflecting unit group buoy array parameter combination meeting the requirement; the problem that the engineering construction and operation and maintenance cost is high due to the fact that an existing offshore floating photovoltaic array depends on external wave prevention / wave dissipation facilities in order to reduce the wave action is solved, and reduction of wave loads in the array and improvement of structural economy are achieved on the basis.

The invention belongs to the technical field of semi-submerged platforms, and discloses a transverse supporting structure and a semi-submerged platform, the transverse supporting structure comprises two transverse supporting pieces which are arranged in the transverse direction of the semi-submerged platform and arranged in the longitudinal direction of the semi-submerged platform at intervals, and the two transverse supporting pieces are located between two stand columns of the bow or the stern of the semi-submerged platform; each transverse supporting piece is used for being connected with two stand columns of the bow portion or the stern portion of the semi-submersible platform. The heaving plate is arranged between the two transverse supporting pieces and connected with the two transverse supporting pieces, and first reinforcing ribs are arranged on the heaving plate. According to the cross arm structure, the heaving, rolling and pitching periods of the semi-submerged platform can be prolonged, resonance, equipment damage and the like caused by the fact that the inherent period of the semi-submerged platform is close to the wave period are avoided, the motion response of the semi-submerged platform is reduced, and the seakeeping performance of the semi-submerged platform is improved.

The present invention discloses a method for filling continuously missing raw data for bottom-mounted acoustic wave observation, which relates to the technical field of bottom-mounted acoustic wave observation in the ocean. The method comprises decomposing the original time series into different characteristic subsequences through a singular spectrum analysis algorithm, extracting trend components and transient change components; filling missing data of the trend component by generating overall trend component data based on existing time series data through a BP neural network fitting; and filling missing data of the transient change component by using a GRU-DTW neural network model based on the complete time series data in the forward and backward directions of the period when the transient component data is missing. After the data filling is completed, the complete raw data is reconstructed for statistical calculation of wave eigenvalues. The present invention efficiently restores the original state of different amounts of continuously missing data, thereby improving the measurement accuracy of wave height and wave period.

To provide a Magnus wave power generating device that can resonate with waves by following large changes in the wave period. [Solution] The device main body 10 is configured as an integrated structure with a float section 12, a Magnus turbine power generation section 14, and a weight section 16 arranged in order from top to bottom. The weight section 16 includes a solid weight 16a and a water tank 16b2. A pump 26 adjusts the amount of water stored in the water tank 16b2 by supplying and discharging water surrounding the device main body 10 to and from the water tank 16b2. A wave height change detection section 36 detects changes in the height of the water surface surrounding the device main body 10 due to waves. From the changes in water surface height detected by the wave height change detection section 36, a control section 15 detects the period or frequency of a fundamental wave whose wave height value is determined to be equal to or greater than a predetermined value and whose occurrence frequency within a predetermined time is determined to be relatively high compared to waves of other periods, and drives the pump 26 to cause the natural period of the device main body 10 to follow the period or frequency of the detected fundamental wave.

The present invention relates to the technical field of tsunami monitoring, and discloses a tsunami monitoring and early warning method, system and storage medium with multi-source interference compensation. The tsunami monitoring and early warning method with multi-source interference compensation comprises: S1, collecting seabed pressure, atmospheric pressure, temperature and humidity, wind speed, wind direction and wave data, wherein the wave data at least includes wave height, wave period and wave direction; S2, transmitting the collected data to a shore-based tsunami data monitoring and early warning platform via a satellite communication system; S3, filling data with different sampling intervals and filtering abnormal data; S4, using a weighted fusion algorithm to dynamically allocate weights of seabed pressure, atmospheric pressure and wave data to generate comprehensive monitoring data, etc. The method effectively improves the accuracy of tsunami monitoring, enables it to work effectively in different sea areas and different environmental conditions, and improves the adaptability of the system.