21 results about "Wave buoy" patented technology

The invention discloses a buoy type wave observation method and device based on a GNSS and an accelerometer, and relates to the technical field of marine environment monitoring, and the method comprises the steps: collecting positioning data and inertial motion data, constructing a reference acceleration through the positioning data, carrying out the dynamic real-time zero offset compensation of the acceleration, correcting the attitude of a buoy according to the angular velocity information, and carrying out the real-time zero offset compensation of the acceleration. Wave motion parameters are calculated by using a multi-order spectral moment, a horizontal velocity component is extracted, the main wave direction of waves is estimated through a maximum entropy spectrum method, and the main wave direction and the wave motion parameters are jointly packaged and transmitted through a dual-mode communication link. Through multi-source synchronous acquisition, GNSS dynamic zero offset compensation, attitude correction, wave direction calculation and parameter inversion, the problem of low accuracy and reliability of observation data caused by long-term drifting of the wave observation buoy is cooperatively solved, and meanwhile, the maintenance difficulty and cost of the wave buoy are reduced. A core algorithm is realized through an edge processing architecture, so that the cost of a single buoy is greatly reduced, and possibility is provided for large-scale high-density networking.

The invention relates to a wave floating ball counterweight optimization method based on ADCP calibration, and the method comprises the following steps: S1, collaborative observation system arrangement: ADCP equipment is fixedly arranged underwater, and a wave floating ball is arranged on the water surface of a target water area and is located in an effective detection area of the ADCP equipment; s2, single test data acquisition: synchronously starting ADCP equipment and a wave floating ball to perform continuous synchronous observation for a period of time, and acquiring wave data; s3, counterweight adjustment and iterative testing: keeping the position of the ADCP equipment unchanged, carrying out multiple times of counterweight modification on the wave floating ball, and carrying out the step S2 to obtain multiple times of tested wave data; s4, data goodness of fit analysis: comparing the wave data measured by the wave floating ball in each test data acquisition with the wave data measured by the ADCP equipment, and determining the goodness of fit between the two; and S5, determining an optimal counterweight: selecting the weight of the wave floating ball when the goodness of fit is highest as the optimal weight of the wave floating ball in the target water area.

The present application aims to provide a wave spectrum observation buoy for marine engineering with reduced entanglement wear and a reduced observation method. The present application comprises a marker buoy, a connecting piece pivotally connected to the lower end of the marker buoy, a wave buoy snap-connected to the end of the connecting piece, and an anchor cable piece hingedly connected to the lower end of the marker buoy and used for anchoring the seabed; the wave buoy is provided with an observation device for observing meteorological hydrology, and the wave buoy rotates around the marker buoy through the connecting piece. The detection buoy observes the sea waves of the surrounding area by rotating around the marker buoy through the connecting piece, and the connection between the connecting piece and the marker buoy is connected through a limiting ring to isolate the torsion force and avoid the entanglement of the connecting piece when the observation buoy rotates around the circumference, thereby improving the wave-following performance of the observation buoy, increasing the accuracy of wave spectrum detection, and effectively avoiding the influence of the connecting piece on the sensitivity of wave regulation. The present application is applied to the technical field of wave spectrum buoys.

The present invention belongs to the field of marine engineering technology and discloses a method, equipment, medium, and terminal for synchronous observation of waves, tides, and currents over the entire ocean area. The method comprises collecting GNSS phase, pseudorange, Doppler shift observations, and broadcast ephemeris using a GNSS receiver or board and antenna carried by a wave buoy on the ocean surface. The three-dimensional velocity of the buoy is obtained by epoch-by-epoch differential analysis of the phase observations, thereby obtaining the directional spectrum and frequency spectrum of the waves, as well as information on wave height, period, and direction. The sampling elements recorded by a shore-based station are sent to a GNSS receiver on the ocean surface via the Beidou short message service (BDS). Low-frequency sea surface height fluctuations are calculated in real time using the PPP method. Combined with the low-frequency velocity obtained by filtering, high-frequency tidal fluctuations are interpolated. The present invention expands the operating range of GNSS-based ocean wave and tide measurements and has practical application value.

The invention discloses a laboratory metrological verification device for a wave sensor, and relates to the technical field of ocean observation equipment and peripheral supporting facilities thereof, the laboratory metrological verification device comprises a driving device, a measuring device, an orienting device and a direction adjusting device, the measuring device comprises a rotating rod in transmission connection with the driving device, and one end of the rotating rod is connected with a counterweight; the other end is movably connected with a wave sensor installation seat which is used for installing a wave sensor to be metrologically calibrated. The driving device can drive the rotating rod to rotate so as to simulate a wave state; the orienting device is in transmission connection with the wave sensor mounting seat and is used for driving the surface, provided with the wave sensor, of the wave sensor mounting seat to face upwards all the time; the direction adjusting device is arranged at the bottom of the driving device and used for controlling the driving device and the measuring device to synchronously and circumferentially rotate to a set angle position. According to the invention, the wave sensor can be detected before the wave buoy is assembled, and the accuracy of a test result is improved.

The present invention discloses an accelerometer calibration method, system and device based on a suspended power mechanism. The present invention obtains the position data of the suspended power mechanism in real time through the method, generates activation data for obtaining accelerometer calibration-related data according to the position data of the suspended power mechanism; generates first acceleration data corresponding to the suspended power mechanism according to the activation data; generates and obtains second acceleration data of the accelerometer itself; combines the first acceleration data and the second acceleration data to generate an error value of the accelerations of the two, and calibrates the accelerometer in real time according to the error value, as well as a system, platform and device corresponding to the method; directly acts on the wave buoy through a drone, omits the intermediate transmission device, can perform motion control in real time, ensures real-time error and full-stroke error, and the invention has a simple structure and can perform precise quantitative calibration.

A binocular vision-based time-frequency domain observation method for ocean waves includes: installing a dual-camera system at two preset locations, ensuring it is aligned with the same sea surface area for synchronous wave observation; using feature point matching technology to jointly calibrate extrinsic parameters based on camera intrinsic parameters; filtering and correcting the images to remove noise and perform motion compensation as needed; extracting three-dimensional point cloud data using a stereo matching algorithm to construct the three-dimensional morphology of the waves; and performing time-frequency domain analysis on the sea surface data to extract wave parameters and perform time-domain decomposition to comprehensively observe the dynamic characteristics of the waves. This method overcomes the limitations of traditional observation methods, such as the long deployment time and lack of flexibility of wave buoys, and the high cost and inability to accurately acquire sea surface waveforms of X-band wave radar. It provides technical support for marine engineering and sea condition early warning, and has significant economic benefits and application prospects.

The invention relates to the technical field of ocean observation, and discloses a Beidou wave buoy signal lock loss artifact detection and spectrum consistency restoration method, which comprises the steps of extracting an original measurement data sequence, generating a synchronous state data matrix and separating a three-dimensional detrending displacement sequence; constructing a signal quality mark sequence and carrying out single wave segmentation, and calculating kinematics characteristic parameters based on a wave height comparison result; comparing a dynamic limit boundary according to the kinematics characteristic parameters and the state identification, and intercepting a positioning artifact wave band; calculating an autoregression model coefficient and implementing bidirectional prediction weighted fusion, and replacing abnormal data to generate a time domain reconstruction vertical sequence; energy attenuation slope test theoretical deviation is obtained for the time domain reconstruction vertical sequence, a spectrum check factor mean square error is calculated in combination with a horizontal component, and parameters are output when the error is lower than a specified upper limit. According to the method, artifact causes are checked in combination with dynamic physical limits, and the integrity and reliability of wave data are guaranteed through bidirectional deduction and frequency domain double verification.

The present invention discloses a method for locating underwater magnetic targets in a marine environment, belonging to the technical field of marine magnetic positioning. The method comprises a magnetic gradient tensor positioning system and a wave buoy. The magnetic gradient tensor positioning system comprises four three-axis fluxgate sensors, a data acquisition board and a power supply. The present invention solves the problem that direction-finding positioning only provides single angle information, suppresses noise through a specific method, further improves the positioning accuracy, makes the obtained target position information more reliable, can intuitively study the magnetic field conditions of the current sea area, and make an analysis of the positioning environment. When processing wave noise, the method is more in line with the actual situation, improves the authenticity of positioning, adopts multi-point positioning, eliminates the influence of geomagnetic tape, and does not need to perform positioning based on the geomagnetic field of the current sea area. A method for processing noise interference is adopted, and the optimal positioning relationship for selecting the measurement point position is given, thereby greatly improving the positioning accuracy.

The present invention discloses a method for synchronously estimating sea surface wind vectors and sea surface current vectors using a drifting wave buoy. The method comprises the following steps: obtaining the wave directional spectrum and the longitudinal and latitudinal components of the drift velocity vector measured by an on-site drifting wave buoy; inputting the obtained data into a deep neural network model comprising multiple loop-closure convolution layers and a multi-layer perceptron composed of multiple fully connected layers; the loop-closure convolution layer equates the data at 0° and 360° in the two-dimensional matrix of the wave directional spectrum, and simultaneously convolves the data at equal angles on both sides of 0° according to the size of the convolution kernel; after feature extraction from the two-dimensional matrix of the wave directional spectrum by the multiple loop-closure convolution layers, the extracted features are vectorized and input into the multi-layer perceptron along with the longitudinal and latitudinal components of the drift velocity vector, which then outputs the sea surface wind vector and the current vector. The present invention achieves synchronous quantitative estimation of sea surface wind vectors and sea surface current vectors based on a drifting wave buoy.

The invention provides a cross calibration method for the effective wave height of a wave buoy, and relates to the technical field of marine environment monitoring. According to the cross calibration method for the significant wave height of the wave buoy, a multi-source reference data system of a shore-based radar, satellite remote sensing and a networking buoy is constructed, and standardized preprocessing is firstly carried out on different-source data; then dynamically distributing each reference data weight based on the sea condition complexity to avoid calibration deviation caused by a fixed weight; then, a hierarchical strategy of coarse calibration and fine calibration is adopted, and a calibration result is optimized in combination with an adaptive least square algorithm; and finally verifying the calibration effectiveness through a root-mean-square error and a correlation coefficient, and realizing 24-hour dynamic updating. According to the invention, the problems of low calibration precision and limited application scene under complex sea conditions in the prior art are solved, the effective wave height calibration error can be controlled within 0.15 m, the method is suitable for wave buoy calibration of different sea areas such as coastal and open sea, and the reliability of ocean wave monitoring data is improved.

1. The name of the design product: wave buoy (GNSS). 2. The use of the design product: for wave, meteorological and hydrological intelligent observation. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: wave buoy mobile bearing base (small). 2. The use of the design product: for the safe storage, convenient transportation and rapid deployment of small wave buoys during the actual sea area deployment of the ship. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The utility model discloses aquaculture water quality monitoring equipment which comprises a monitoring host, a sensor, a floating disc, an upper counter weight circular truncated cone, a winding groove, a clamping bolt, a side mounting frame, a lower counter weight circular truncated cone and a wave-resistant float bowl, the monitoring host is electrically connected with the sensor through a cable, and the counter weight circular truncated cones are mounted at the upper position and the lower position of the floating disc; winding grooves are formed in the same positions of the floating disc, the upper balance weight circular truncated cone and the lower balance weight circular truncated cone, clamping bolts are positioned and installed at the upper position and the lower position of each winding groove, and a side installation frame fixedly installed on the side edge of the floating disc through screws is in butt joint with the anti-wave buoy. A monitoring depth sensor cable is adjusted to be embedded in a winding groove, a clamping bolt is tightened and positioned, a floating disc and a sensor are thrown into the water surface, the sensor falls to monitor water quality, the floating disc performs floating traction, and a counterweight circular truncated cone prevents the floating disc from being overturned by water flow. When water flow impacts the floating disc, the anti-wave buoy can swing up and down at a certain angle to buffer water flow impact on the disc body.

The application provides a wind wave and swell separation method based on variational mode decomposition, and relates to the technical field of sea wave separation, and comprises the following steps: obtaining wave height displacement-time history data of a wave surface of the sea by a wave buoy; obtaining a segmentation frequency of wind waves and swell waves by using a two-dimensional spectrum method; performing mode decomposition on the wave height displacement-time history data and obtaining a center frequency of each constituent wave; dividing the constituent waves according to the segmentation frequency as a criterion to obtain wave surface curves of wind waves and swell waves. The application can obtain wave surface displacement of wind waves and swell waves in sea waves by using data of a single point buoy, solves the problem that a traditional method can only obtain a spectrum form of wind waves and swell waves and cannot obtain a wave surface displacement curve, and provides convenience for engineering application and scientific research.

The invention discloses an ocean telemetering wave height meter and a wave measurement method, the ocean telemetering wave height meter comprises a wave buoy system and a shipborne measurement and control system, the wave buoy system is provided with a buoy, an acceleration sensing measurement unit and a three-axis holder self-stabilizing device, and the acceleration sensing measurement unit is arranged on the buoy through the three-axis holder self-stabilizing device; the plane where the acceleration sensing and measuring unit is located is always kept perpendicular to the horizontal plane through the three-axis holder self-stabilizing device, the acceleration sensing and measuring unit is used for measuring acceleration signals in the vertical direction of the wave buoy and transmitting the acceleration signals to the shipborne measuring and controlling system, and the shipborne measuring and controlling system is provided with a man-machine interaction interface. And the man-machine interaction interface is used for converting the obtained acceleration signal into displacement through quadratic integration to obtain a characteristic value H1 and a period T1 of the wave buoy and displaying the characteristic value H1 and the period T1. The plane where the accelerometer is located is kept perpendicular to the horizontal plane all the time through the three-axis holder, the principle is simple, implementation is convenient, and marine navigation safety and development and detection of marine resources are further guaranteed.

The application discloses a laboratory metering and checking device of a wave sensor, and relates to the technical field of marine observation equipment and peripheral supporting facilities, comprising a driving device, a measuring device, an orientation device and a direction adjusting device. The measuring device comprises a rotating rod in transmission connection with the driving device, one end of the rotating rod is connected with a counterweight, the other end is movably connected with a wave sensor mounting seat, and the wave sensor mounting seat is used for mounting the wave sensor to be metered and checked. The driving device can drive the rotating rod to rotate to simulate the wave state. The orientation device is in transmission connection with the wave sensor mounting seat and is used for driving the wave sensor mounting seat to always have the side provided with the wave sensor facing upward. The direction adjusting device is arranged at the bottom of the driving device and is used for controlling the driving device and the measuring device to synchronously rotate circumferentially to a set angular position. The application can detect the wave sensor before the wave buoy is assembled, and improves the accuracy of the test result.

The utility model provides an offshore floating type system with both wind measurement and marine hydrographic survey, which is characterized in that an electrical box body is arranged on a platform of a floating body, and a storage battery pack and an industrial personal computer are arranged in the electrical box body; the wind measurement module is fixed at the top of the outer side of the electrical box body and is electrically connected with the industrial personal computer and the storage battery pack; the wave measuring module comprises a wave buoy main body and a wave measuring cable, the wave buoy is located on the sea surface, and the wave measuring cable is electrically connected with the industrial personal computer and the storage battery pack; the flow measurement module comprises an instrument body and a flow measurement cable, the instrument body is mounted on the bottom surface of the floating body, and the flow measurement cable is electrically connected with the industrial personal computer and the storage battery pack; the marine organism preventing structure is fixed on the bottom surface of the floating body and is provided with an accommodating space communicated with external seawater; the thermohaline measurement module comprises a sensor body and a thermohaline measurement cable, the sensor body is located in the containing space of the marine organism prevention structure, and the thermohaline measurement cable is electrically connected with the industrial personal computer and the storage battery pack; the number of the main balance weight structure is one, and the number of the auxiliary balance weight structures is multiple.

The present invention relates to a system and a method for detecting a long-period wave in real time, and the system comprises: a quality processing unit for assigning flags to time-series data transmitted from a wave height buoy and removing noise; an imputed data generation unit for generating imputed data on the basis of acceleration data and gyro data corresponding to a missing section of the time-series data; a data interpolation unit for interpolating the imputed data into the time-series data to compensate for the missing section; and a long-period wave detection unit for detecting a long-period wave from the time-series data into which the imputed data has been interpolated.

1. The name of the design product: wave buoy. 2. The use of the design product: used for floating on the sea surface, monitoring wave characteristics and other marine parameters, and is a marine observation tool. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best shows the design points: perspective view 1.

The present application relates to the technical field of ocean observation, and discloses a Beidou wave buoy signal loss-of-lock artifact detection and spectrum consistency repair method, which comprises the following steps: extracting an original measurement data sequence, generating a synchronous state data matrix and separating a three-dimensional detrended displacement sequence; constructing a signal quality marker sequence and performing single-wave division, calculating kinematic characteristic parameters based on wave height comparison results; comparing the kinematic characteristic parameters with state markers according to dynamic limit limits, and intercepting a positioning artifact wave band; solving autoregressive model coefficients, implementing bidirectional prediction weighted fusion, replacing abnormal data to generate a time-domain reconstructed vertical sequence; obtaining an energy attenuation slope test theoretical deviation of the time-domain reconstructed vertical sequence, calculating a spectrum check factor mean square error in combination with a horizontal component, and outputting parameters externally when the error is lower than a specified upper limit. The present application combines dynamic physical limits to investigate artifact causes, and ensures the integrity and reliability of wave data through bidirectional deduction and frequency domain double verification.