148 results about "Wave period" patented technology

The invention discloses a simulation six-degree-of-freedom real sea condition random wave detection system and a simulation six-degree-of-freedom real sea condition random wave detection method. The simulation six-degree-of-freedom real sea condition random wave detection system comprises the following parts: a wave direction reproduction mechanism for simulating a real sea condition sea surface motion attitude, placing a wave buoy or a wave sensor and providing the motion attitude; 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 invention, all-parameter detection and calibration can be realized, and high-quality reproduction and magnitude transmission of wave direction parameters are realized.

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 invention discloses a power prediction method and equipment of a wave energy device, a medium and a product, and relates to the field of output power prediction.The method comprises the steps that water depth topographic data and wind field data of a target sea area are obtained; solving a wave field at a wave energy device by adopting an improved wave energy balance control equation according to the water depth topographic data and the wind field data; according to the wave height and the wave period of the wave energy device, determining the output power of the wave energy device by adopting a quadratic linear interpolation method, and taking the output power as initial output power; and according to the wave direction of the wave energy device, correcting the initial output power by using a directivity weighting function to obtain corrected output power. The output power prediction accuracy of the wave energy device can be improved.

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 wave sensor detection system based on a wave spectrum and a control method, and relates to the technical field of ocean observation, the wave sensor detection system comprises 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 a wave surface point, the two-dimensional form change of a wave surface and the autorotation motion of a sensor carrier based on a P-M wave spectrum, an ITTC direction distribution function, a Gerstner sea wave model and a linear superposition theory; the wave sensor detection system is controlled to simulate the six-dimensional motion state of the sensor in the ocean wave environment so as to detect measurement and verification of the wave sensor on comprehensive characteristic parameters such as wave height, wave period, wave direction, wave energy spectrum and wave direction spectrum.

The invention discloses a fixedly-mounted radar wave direction wave height wave period measuring instrument, and belongs to the technical field of wave measurement. The measuring instrument comprises radar probes and a shore-based fixing support, the shore-based fixing support comprises a moving mechanism, the moving mechanism comprises a moving platform and a traction connecting rod, moving guide rails are evenly distributed above the moving platform, any moving guide rail is movably connected with the radar probes, and extension lines of the moving guide rails intersect at the center of the upper end face of the moving platform. The radar probe can move in the movable guide rail connected with the radar probe, the detection direction of the radar probe faces downwards, and the radar probe is located below the movable platform. According to the invention, switching between a lattice array and a triangular array can be realized, and stable and accurate wave characteristic parameters can be obtained in different sea surface environments.

The embodiment of the invention discloses a wave period identification method and device based on deep learning, and the method comprises the steps: collecting wave data in a preset time length at preset time length intervals, carrying out the image processing of the wave data, obtaining a target sea wave image, and obtaining the white-head wave value data; and performing calculation based on the target sea wave picture and the white head wave value data to obtain a wave period estimation value, and constructing a wave period identification model of the wave truth value and the wave period estimation value. A target sea wave picture is automatically extracted in a deep learning mode, and errors and cost of manual intervention are reduced; based on calculation of a target sea wave picture and white head wave value data, an accurate prediction basis is provided for wave period estimation, the accuracy and stability of the wave period estimation are further improved in combination with application of a deep learning algorithm, and a wave period recognition model constructed by the embodiment can automatically learn and optimize the relationship between sea wave features and wave periods. Through continuous learning and iteration, the model can adaptively adjust parameters, and the prediction precision is improved.

The invention discloses a self-calibration water depth-water flow-wave test water tank device and a test method. The device mainly comprises a water tank, a water pump, a lifting platform and a wave maker, the method comprises the following steps: acquiring initial water depth and water flow velocity in a water tank, measuring water depth from the water surface to the upper end surface of a lifting platform, and adjusting the height of the lifting platform to enable the measured water depth to reach the water depth required by a test; measuring the adjusted water flow velocity of the lifting platform, and adjusting the flow of the water pump until the measured water flow velocity reaches the water flow velocity required by the test; and the control system carries out primary correction and secondary correction on the wave generation control signal in combination with the water flow speed to obtain a wave period parameter and a wave height parameter so as to complete automatic calibration of water depth-water flow-wave. The problems that in a traditional wave water channel test, the test efficiency is low, the water depth and the water flow are prone to errors, and deviation is generated due to wave height deformation caused by the influence of the water flow on wave propagation are solved. And the automation degree, efficiency and accuracy of the test are improved.

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 utility model belongs to the technical field of design and manufacture of offshore engineering equipment, and discloses a floating breakwater with a dangling structure, which comprises a floating breakwater main body structure with the dangling structure, a mooring system and a flexible connecting system. A main body structure of the floating breakwater with the dangling structure comprises a square box body, a dangling anchor chain, a dangling ball body, a connecting ring and a hanging ring connecting buckle. The mooring system is mainly composed of a mooring cable and an anchorage sinking block. The flexible connecting system is composed of a plurality of flexible connecting shafts. The floating breakwater can well solve the problems that the medium-long wave absorbing capacity of an existing floating breakwater is insufficient, and the wave absorbing performance is limited by the wave period. According to the research result, the optimized wave attenuation mechanism can effectively overcome the technical defects of a traditional floating breakwater, the wave energy of the specific wave band is efficiently attenuated, and the safety of open-sea structural engineering and offshore operation is improved.

The invention discloses a barge type floating fan capable of avoiding resonance between a wave period and the fan, which comprises a floating body and the fan, and the floating body is connected with the fan; a penetrating through groove is formed in the middle of the floating body, a first adjusting plate and a second adjusting plate which can move in a crossed mode are arranged in the extending direction of the penetrating through groove through a first sliding rail locking mechanism, and the penetrating through groove is divided into a plurality of size-adjustable damping pools through the first adjusting plate and the second adjusting plate. A plurality of water permeable holes communicated to the penetrating through groove are formed in the periphery of the floating body; a plurality of fixed ballast tanks, a plurality of variable water ballast tanks and a plurality of buoyancy tanks are sequentially arranged on the floating body in the extending direction; the periphery of the floating body is provided with an anti-swing plate capable of sliding in the extending direction through a second sliding rail locking mechanism. Through active cooperative control of the adjustable damping pool, the stabilization plate and the permeable structure, compared with a single adjusting mechanism, the fault tolerance rate is higher, the dynamic response precision and the extreme environment adaptability are remarkably improved, and wave energy dynamic dissipation and floating body resonance risk avoidance are achieved.

The invention relates to the field of offshore engineering, and particularly discloses a submerged embankment oscillation water column type anti-wave power generation device which comprises a power generation device body and an L-shaped submerged embankment, the power generation device body comprises an air chamber and an air turbine, the air chamber is a square hollow column, an opening is formed in the bottom end of the air chamber, and an air hole is formed in the top end of the air chamber; the air turbine is arranged in the air hole and converts pneumatic energy flowing through the air hole into electric energy; the air chamber is fixed on the offshore platform, the air hole is formed above the sea surface, the opening is formed below the sea surface, and seawater forms a water column in the air chamber; the L-shaped submerged dike is arranged below the air chamber, the horizontal edge of the L-shaped submerged dike is horizontally placed on the seabed, and the vertical edge of the L-shaped submerged dike is vertical to the seabed and located on the side close to the rear wall of the air chamber. By the adoption of the oscillating water column wave energy power generation device, the wave prevention performance of the device in the full wave period is remarkably enhanced, the coast is effectively protected against erosion, and the energy conversion efficiency of the oscillating water column wave energy power generation device in the long wave period can be improved by means of the characteristic that the submerged breakwater reflects waves.

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.