304 results about "Shallow sea" patented technology

The invention discloses an uncontrolled multispectral remote sensing water depth inversion method and system, and belongs to the field of shallow sea water depth inversion methods. The method comprises the following steps: firstly, by calculating a depth invariant index of a target area, dividing the target area into a high substrate reflectivity type, a medium substrate reflectivity type and a low substrate reflectivity type; establishing corresponding high, medium and low substrate reflection spectrum sets according to the typical substrate type of the target area; and finally, based on a shallow water radiation transmission model, combining remote sensing reflectivity data of an adjacent optical deep water region, and establishing optimal matching between the simulated remote sensing reflectivity and the actual remote sensing reflectivity by matching a substrate reflection spectrum in a regional pixel-by-pixel manner, so as to obtain a continuous large-area bathymetric map of the target region. The method is suitable for water depth measurement without prior actual measurement of water depth in a multispectral remote sensing scene, solves the problem that a traditional water depth inversion algorithm does not fully consider complex substrate types and spectral variation, and provides a higher-precision method for shallow sea multispectral remote sensing uncontrolled water depth inversion.

The invention provides a method for quickly establishing a three-dimensional near-seafloor speed model in a shallow sea area; the method comprises the following steps of extracting initial informationand extracting a common-center-point gather; calculating the slope of the initial travel time in the common-center-point gather; judging whether a shot point is located in the seawater layer or not,and if yes, correcting the shot point to the seafloor; calculating the speed and the depth of inflection points corresponding to respective offset distances; performing linear interpolation on the speed at each depth to obtain a one-dimensional speed model of the common center point; after all the common-center point domain gathers are processed, adopting the linear interpolation method, calculating the speed values of the rest grid points by utilizing the one-dimensional speed model of all common center points, and a speed model is output. By adoption of the method for quickly establishing the three-dimensional near-seafloor speed model in the shallow sea area, the influence of the seawater layer on ray propagation is overcome, and the influence of multiple excitation receiving modes on an inversion result is eliminated, and the problem that the conventional method needs to carry out multi-ray tracing forward modeling is avoided.

The invention discloses a marine geological sediment sampling device and method, and belongs to the technical field of sampling equipment. The marine geological sediment sampling device comprises a bottom frame, wherein one side of the bottom frame is a containing box, and the other side of the bottom frame is an inserting rod; the power box is arranged in the containing box through a sliding sealing structure, and a power element is installed in the power box. A sampling pipe in transmission connection with the power element, a floating assembly installed on the power box and an air pipe in the power box are installed among the multiple insertion rods, when the pressure in the cavity reaches a set value of a pressure valve, the valve is opened, compressed air is sprayed to stress blades through the air pipe to drive a first sliding ring to rotate, a floating plate rotates synchronously, and auxiliary propulsive force is generated; the propelling direction is consistent with the sinking direction of the device, the function of accelerating sinking is achieved, seawater resistance is effectively resisted, meanwhile, in a shallow sea area or a deep sea area, the overall buoyancy of the device is changed by dynamically adjusting the inflation volume in the floating plate, and the device can be prevented from violently shaking or inclining due to too fast sinking.

The invention discloses a remote sensing shallow sea water depth inversion method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a satellite remote sensing image and actually measured water depth data of a to-be-measured area; performing correction preprocessing on the satellite remote sensing image to obtain spectral data; dividing the actually measured water depth data based on a preset proportion to obtain a training set and a test set; constructing a partial least squares regression model according to the training set and the spectral data of each wave band corresponding to the training set, predicting the spectral data, obtaining a prediction result, and performing prediction verification; when the prediction verification result does not meet the preset condition, the training set and the test set are divided again; the previous steps are cycled until the prediction verification result meets the preset condition; a support vector machine model is constructed through a parrot optimization algorithm based on the training set and the test set; and performing water depth inversion of the target area by using the support vector machine model. The method can accurately perform shallow sea water inversion, and can be widely applied to the technical field of data inversion.

The invention relates to the technical field of communication, and discloses a high-precision measurement method for radial velocity of a shallow sea underwater acoustic target based on ray sound field reconstruction. According to the method, a multipath channel joint resolving system is innovatively constructed for the problem that the target speed measurement precision is limited due to a shallow sea complex propagation environment. According to the system, a compound ray model of shallow sea multipath sound propagation is established, and a joint representation equation containing channel impulse response and target motion parameters is constructed by analyzing a time delay-Doppler coupling mechanism of three typical paths of direct waves, water surface reflected waves and water bottom reflected waves. Especially for the multipath interference effect in the shallow sea waveguide environment, the time-frequency domain separation criterion of each path signal is deduced, and a theoretical basis is laid for feature information extraction. The method provides a new technical means for underwater target tracking and positioning, underwater acoustic communication Doppler compensation and marine environment dynamic monitoring, and particularly has an important application prospect in the fields of underwater unmanned cluster collaboration and the like.

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

The invention discloses a sparse Bayesian learning shallow sea target depth and horizontal distance passive estimation method, and the method comprises the steps: calculating a modulus depth function hypothesis space through employing a finite difference method based on a prior sound velocity profile and a horizontal wavenumber hypothesis interval; preprocessing the vertical array data to a frequency domain, constructing a linear underdetermined equation set about the frequency domain vertical array data and a modulus depth function of a hypothesis space under sparse constraint, and solving by using a sparse Bayesian learning algorithm to obtain estimation of a horizontal wave number spectrum; performing spectrum peak search on the horizontal wave number spectrum, estimating the order and the horizontal wave number of an actual excitation mode, and estimating a mode depth function of each order of mode by using a finite difference method; vertical array copy sound fields under different depths and horizontal distances are calculated according to a normal wave sound field formula; and respectively performing conjugate transpose multiplication on the vertical array copy sound field and actual data to obtain a depth-horizontal distance ambiguity surface, and searching the position of the maximum surface value as the estimation of the depth and horizontal distance of the source.

The invention discloses a water quality data monitoring system and method applied to a shallow sea buoy, and relates to the technical field of seawater monitoring and repairing, and the system comprises a data acquisition module, a buoy adjustment module, a seawater monitoring module, a seawater analysis module and a real-time monitoring module, the data acquisition module is used for regularly acquiring water quality detection data transmitted by buoys at all point positions of the shallow sea, calculating water evaluation values according to the water quality detection data and then calculating abnormal values of all the water quality detection data based on the water evaluation values; the technical key points are as follows: during use, water quality detection data are analyzed, multiple items of data of monitored water quality are comprehensively analyzed to calculate water evaluation values, then an abnormal value between the water evaluation values between buoys is calculated by utilizing the principle that pollution diffusion needs a certain time, and the difference of seawater quality can be clearly and intuitively known through the abnormal value. Therefore, whether the seawater is polluted or not can be clearly known, and the method is relatively simple and has a good application prospect.

The present invention discloses a water photovoltaic mooring equipment, a mooring system and an installation method. The water photovoltaic mooring equipment includes a buffer component, a sliding component, an adaptive retractable component and a vertically arranged pile frame group. A vertical perforated sliding frame is arranged on the pile frame group. A buffer component is installed at each of the upper and lower ends of the perforated sliding frame. The sliding component is slidably installed in the perforated sliding frame and is located between two buffer components. The sliding component moves up and down in the perforated sliding frame as the sea level rises or falls. The sliding component is connected to the adaptive retractable component, and the adaptive retractable component is connected to a photovoltaic support. The present invention adopts the water photovoltaic mooring equipment, which is suitable for shallow sea areas with complex water environment, large water depth variation range, large morning and evening tidal difference, and large wind and waves.

To provide a substrate material for growing seagrass, a method for producing the substrate for growing seagrass, a shallow structure suitable for seagrass growth, and a method for constructing the shallow structure, which are applicable when nitrogen cannot be supplied from the underlying layer to seagrass such as eelgrass or when the nitrogen supply amount from the underlying layer is insufficient, and which enable suppression of redispersion into mud after immersion in water and resistance to drift caused by waves or tidal currents.SOLUTION: The substrate material for growing seagrass comprises, as a main raw material, granular matter with a particle size of 25 mm or less, which is formed by solidification of a mixed material obtained by mixing dredged soil, steelmaking slag, a strength-increasing agent, and a nitrogen-supplying material.SELECTED DRAWING: Figure 1

The invention relates to the technical field of oil and gas exploration and development, in particular to a shallow sea gravity flow channel reservoir porosity prediction method which comprises the following steps: S1, determining a target research area; s2, collecting logging curve data of the reservoir of the target research area; s3, taking the logging curves of density, sound wave, resistivity, gamma and neutron porosity as input, taking the actually measured core porosity as output, and constructing and training a depth feedforward neural network model; and S4, predicting the reservoir porosity by using the deep feed-forward neural network model. The defect that the porosity of the shallow sea gravity flow channel reservoir is difficult to accurately predict in the prior art is overcome, the depth feed-forward neural network model is constructed and trained by using the logging curve data, the nonlinear mapping relation between the logging curve and the porosity is established, the reservoir porosity can be accurately predicted for the logging curve by using the model, and the prediction accuracy of the reservoir porosity is improved. And the method is suitable for predicting the porosity of various types of reservoirs.

The invention relates to a shallow sea seabed node redirection method based on first arrival polarization characteristic constraint, a medium and equipment, and belongs to the technical field of geophysical exploration data processing. The method comprises the following steps that a common detection point gather is extracted from four-component seismic data collected in a simulated or field mode, first arrival time and a propagation azimuth angle are obtained, and a target function is constructed according to seismic record energy distribution, polarization characteristics and P and Z component correlation common constraint in a first arrival time window; solving orientation parameters; and performing orientation correction on seismic data acquired by the seabed nodes. Besides, the detector is redirected by comprehensively utilizing the energy, the polarization characteristic and the P and Z component correlation of the first-motion wave, so that the problems of application condition limitation and insufficient precision existing in a conventional method for redirecting by only utilizing the direct wave and multiplicity of solutions existing in a reflected wave energy method can be solved.

The invention provides a seabed data center double-loop cooling system suitable for a shallow sea area, and the system comprises a heat exchanger which is respectively communicated with a pressure reducing valve, a cooling working medium storage box and a compressor through a first circulation loop; the heat exchanger is provided with an open-loop cooling channel, seawater circulates in the open-loop cooling channel, and the cooling working medium in the circulation loop is cooled through the seawater. Seawater can also directly cool the subsea data center cooling housing through the second circulation loop via valve control. According to the invention, the cooling requirements of the seabed data center can be met at different seawater temperatures through the two circulation loops, and meanwhile, the energy consumption and the PUE value of the cooling system are reduced.

The invention discloses an underwater acoustic fusion feature classification method based on reinforcement learning and a multi-branch network, and belongs to the technical field of underwater acoustic signal processing and machine learning crossing. According to the method, LOFAR spectrum, DEMON spectrum, MFCC and VMD modal domain features of ship radiation noise are extracted, marine environment parameters (sound velocity gradient, propagation loss, multipath number and signal-to-noise ratio) simulated by a BellHop model are combined, high-dimensional feature representation is generated by using a multi-branch neural network (CNN processing LOFAR / DEMON and Bi-LSTM processing MFCC / VMD), feature fusion weight is dynamically adjusted through a near-end strategy optimization (PPO) algorithm, and the ship radiation noise is obtained. And environment-adaptive target classification is realized. According to the method, the accuracy is improved to 87% in a shallow sea multipath environment, the accuracy is improved to 72% in a low signal-to-noise ratio environment, the single reasoning delay is less than 20ms, embedded real-time deployment is supported, and the classification robustness and the calculation efficiency in a complex marine environment are remarkably improved.

The invention provides a random forest shallow sea sediment classification method based on multi-temporal remote sensing image fusion, and relates to the technical field of sediment information extraction. Comprising the following steps: 1, collecting and preprocessing multi-temporal image data to obtain remote sensing reflectivity; 2, the water depth of each single-time-phase image is inverted, and the optimal water depth is obtained; 3, calculating bottom reflectivity characteristics of blue and green wave bands based on the optimal remote sensing image; 4, respectively calculating topographic features and spectral features based on the optimal water depth and the optimal remote sensing image; and 5, in combination with the bottom reflectivity features, the topographic features and the spectral features, carrying out random forest feature optimization and classification model training, and generating a substrate classification result. On the basis, the method solves the problems that an existing remote sensing image substrate classification method is insufficient in feature consideration, noise in a single-time-phase image can cause low classification precision, and therefore negative effects can be generated on accurate acquisition of substrate information.

The utility model discloses a conical disc centrifugal shellfish seeding device, which relates to the field of fishery machinery and comprises a support frame, a material containing device and a rotatable centrifugal turntable are mounted on the support frame, the centrifugal turntable is in an inverted conical shape, a blanking port is arranged on the material containing device, and the centrifugal turntable is positioned below the blanking port; a plurality of material stirring blades are installed on the centrifugal rotating disc and arranged at intervals in the circumferential direction of the centrifugal rotating disc, the outer ends of the material stirring blades can be adjusted in an inclined mode upwards or downwards, and the material stirring blades can be adjusted in an inclined mode towards the two sides relative to the radius of the centrifugal rotating disc. The device can be used on a ship in a shallow sea or on a mud flat vehicle, is simple to operate, greatly increases the seeding breadth, improves the seeding uniformity, effectively improves the seeding efficiency, reduces the breakage rate of the spats, saves the labor cost, and improves the utilization efficiency of the spats and the mud flat.

The invention discloses a shallow sea area water depth inversion method based on a satellite-borne laser radar, and particularly relates to the technical field of single-photon water depth information extraction. The denoising method comprises the following steps: S1, data preprocessing: reading data, carrying out visual presentation, dividing photons into offshore photons, sea surface photons and undersea photons, and intercepting an effective photon region; s2, coarse denoising: denoising the area intercepted in the step S1 by adopting a DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm; s3, fine denoising: screening effective signals of sea surface photons by adopting a Gaussian fitting algorithm, removing sea photons, separating subsea photons from the sea surface photons, performing density analysis on the subsea photons, extracting a density peak point, and constructing a density trend curve of the subsea photons by adopting a cubic spline interpolation method, eliminating residual noise deviating from normal distribution according to the trend curve; and S4, performing water depth inversion: performing refraction correction on the subsea photons subjected to fine denoising, fusing the corrected subsea photons and the sea surface photons subjected to fine denoising, and generating a water depth distribution diagram of the shallow sea area.

The invention provides a shallow sea water depth inversion method and system based on a multi-angle optical radiation transmission model, and relates to the technical field of remote sensing space information. The method comprises the following steps: on the basis of a water body biological optical model, constructing a shallow sea water depth inversion model in combination with a water body and water bottom optical radiation transmission process; and according to the obtained multi-angle satellite remote sensing observation data, calculating and obtaining shallow sea water depth information by using the shallow sea water depth inversion model. According to the invention, by fusing multi-angle satellite remote sensing observation data and a physical model and comprehensively considering water body absorption, scattering and bottom reflection characteristics, a high-robustness and high-precision shallow sea water depth inversion method and system are constructed. The method has adaptive capacity to a complex optical environment in a shallow water area, can realize large-range and high-precision water depth inversion, provides a new technical means for shallow water depth measurement, and has wide application prospects.

The invention discloses a reinforced concrete hanging box structure and a construction method thereof.The reinforced concrete hanging box structure comprises a hanging box wall body with a built-in compartment, a bottom plate with a bottom hole capable of being opened and closed, a guiding device and a hanging and pressing system, the hanging box wall body and the bottom plate are integrally connected in a sealed mode before hanging, and the bottom hole capable of being opened and closed is formed in the bottom plate; up-down floating of the steel hanging box is achieved by controlling the water volume of the compartment, the steel hanging box can adapt to tidal level changes in a shallow sea area, the bottom plate is provided with a large-size bottom hole, the steel hanging box can downwards penetrate through a steel casing when the steel hanging box is put down, and the procedure of additionally installing and connecting the bottom plate underwater in traditional steel-concrete hanging box construction is omitted; the inner side of the steel hanging box can be blocked by closing the baffle, pouring and sealing are efficiently and rapidly carried out, the construction period is remarkably shortened, the construction efficiency is improved, meanwhile, the arranged steel hanging box structure can be flexibly operated in a shallow sea area, dependence on traditional construction equipment is reduced, the construction cost is reduced, and the influence on the environment is reduced.

The invention provides a method, medium and system for estimating the orientation of a horizontal array in an uncertain shallow sea environment, and belongs to the technical field of geophysics, and the method comprises the steps: firstly, receiving a far-field narrow-band signal through a horizontal array, obtaining a time domain sampling snapshot, then calculating an array sampling covariance matrix, and constructing a signal subspace through the first J feature vectors; meanwhile, according to a standard shallow sea sound velocity profile and a parameter uncertainty range, a horizontal wave number range of a propagation mode is obtained, sampling is carried out in the range to construct a mode matrix, and feature vectors corresponding to the first K maximum feature values are extracted to construct a mode subspace. Next, constructing an expansion matrix by using base vectors in the signal subspace and the modal subspace, performing QR decomposition to obtain an upper triangular matrix, and extracting diagonal elements of the upper triangular matrix to construct a sound source orientation estimation function; and finally, the angle corresponding to the peak value of the sound source orientation estimation function is the sound source orientation estimation value.

The invention discloses an SAR shallow sea water depth inversion method and system based on a local wave direction, and belongs to the field of synthetic aperture radar signal processing and the technical field of ocean remote sensing application. The method comprises the following steps: acquiring an SAR image with clear sea wave features in a research area; the method comprises the following steps: dividing an SAR image into # imgabs0 # sub-image blocks, and estimating the local wave direction of each sub-image block based on an image spectrum; calculating the reference window angle of each sub-image block based on the local wave direction, and setting the window angle range and step length of the adaptive multi-angle window based on the reference window angle; calculating image spectrums of the divided image sequence under different window angles for each sub-image block, estimating sea wave wavelengths corresponding to the image spectrums, and performing wavelength fusion based on Kalman filtering; and applying a linear dispersion relationship to the fused wavelength, and inverting the underwater topography. According to the method, the precision and robustness of underwater terrain detection are improved, and support is provided for engineering application of SAR shallow sea underwater terrain detection.

The invention relates to a shallow sea water depth hyperspectral inversion method considering sediment characteristics. The method comprises the following steps: combining a hyperspectral remote sensing image with water depth data in satellite-borne laser radar data to obtain a shallow sea hyperspectral remote sensing image; carrying out spectral data sampling on the substrate at the waterline of the shallow sea hyperspectral remote sensing image, averaging the spectral data of the same kind of substrates, and then assigning the average value to the spatial distribution data of the substrate to obtain a substrate spectral image; a shallow sea hyperspectral remote sensing image and a substrate spectral image of a satellite-borne laser radar data coverage area are used as input data of a training sample, water depth data in satellite-borne laser radar data are used as output data of the training sample, and a shallow sea water depth inversion model is trained; and carrying out shallow sea water depth inversion by using the trained shallow sea water depth inversion model. The shallow sea sediment heterogeneous interference is weakened by fully excavating and utilizing the sediment characteristics, and a higher-precision method is provided for shallow sea water depth remote sensing inversion.

The invention provides an active and passive satellite shallow sea water depth inversion method, and relates to the technical field of marine surveying and mapping. Comprising the following steps: 1, respectively preprocessing input active and passive satellite data; 2, performing shallow sea area water depth inversion on the preprocessed active and passive satellite data to obtain a preliminary inversion result; and step 3, optimizing the preliminary inversion result based on the virtual control point and IDW spatial interpolation. According to the invention, the virtual control point is introduced to fill a blank area covered by satellite data, and the IDW algorithm is used to carry out spatial interpolation on the data, so that the precision and the calculation efficiency of water depth inversion can be improved to a certain extent; on the basis, the problem that in the prior art, when ICESat-2 serves as an active satellite data source, the strip-shaped distribution characteristic of ICESat-2 cannot fully cover the whole research area range, and consequently the precision and reliability of water depth inversion are affected is solved.

The invention provides a shallow sea multiband substrate reflectivity remote sensing detection method and a shallow sea multiband substrate reflectivity remote sensing detection system. According to the method, four-band multispectral data and ICESat-2 laser sounding data are combined, a strategy of selecting feature points and iteratively searching optical parameters of a water body is adopted, and an index relationship between semi-analysis substrate reflectivity and spectral parameters is utilized to globally constrain a radiation transmission model; a quadratic polynomial model between the chlorophyll concentration of the feature points and the remote sensing reflectivity of the blue and green wave bands is constructed, and large-range rapid inversion of the optimal water attenuation coefficient is achieved; and further combining with a surface remote sensing reflectivity product to construct a climate state monthly average deepwater reflectivity data set, thereby realizing large-range efficient detection of optical shallow sea multiband substrate reflectivity without actually measured data support. According to the method, the application efficiency of the four-waveband multispectral data with the most abundant historical data is improved, the method is high in practicability, and the method has great significance in protection and management of shallow sea coral reef benthic ecology.

The invention discloses an active and passive fusion water depth inversion method based on adaptive spectrum weighting, and the method comprises the steps: carrying out the atmospheric correction of a multispectral satellite image, extracting a target region, and removing a land region and a deepwater region; the method comprises the following steps: acquiring a seawater point cloud of a satellite-borne photon counting laser radar in a target area, extracting sea surface and seabed information, and performing refractive index correction and tide correction to obtain a reference water depth; matching each pixel in the multispectral satellite image with a reference water depth, and dividing the multispectral satellite image into a reference pixel and a to-be-measured pixel; according to the spectral value of the multispectral satellite image, the Euclidean distance between each to-be-measured pixel and all reference pixels is calculated, and the reciprocal of the distance is used as the weight of each reference pixel; and introducing a weight-to-weighted least square method, and fitting a relationship from the spectral value to the water depth for each pixel to be measured to realize water depth inversion of the pixels to be measured. The method can effectively improve the active and passive fusion water depth inversion precision when the water depth distribution is uneven and the shallow sea area environment is complex.

The embodiment of the invention discloses a high-precision sparse estimation method for a shallow sea multipath channel, and the method comprises the steps: constructing a discretized channel input and output relation based on a coherent multipath channel model, constructing a measurement matrix through employing a transmitted signal, and converting the discretized channel input and output relation into a sparse representation model in a rectangular vector form; according to the method, in the process of solving the sparse solution of the target function for the first time, a multi-step forward search strategy is utilized to carry out all K iterations, and then the sparse solution is obtained, so that more accurate channel time domain impulse response is obtained through estimation.

According to the technical scheme, the micro-touch type muddy water underwater topography instrument comprises transverse guide rails, longitudinal guide rails and a ship body, the two transverse guide rails are arranged in water, hanging blocks are fixedly installed at the two ends of the transverse guide rails, steel cables are fixed to the tops of the hanging blocks, and the steel cables extend upwards to the water surface and are fixed to the two sides of a deck of the ship body. The two longitudinal guide rails are installed between the two transverse guide rails in a sliding mode, and micro-touch measuring probes are installed on the bottom faces of the longitudinal guide rails in a sliding mode. The beneficial effects of the utility model are that the underwater topography instrument is hoisted at the bottom of a ship body through the steel cable, and the rope is extended to enable the underwater topography instrument to descend to a position close to the seabed, so that the micro-touch measurement probe repeatedly carries out fixed-point measurement and records the submarine topography below the ship body; the problem that a traditional micro-touch type underwater topography instrument can only be applied to shoals or water areas with low water levels of inland river channels is solved, and the micro-touch type underwater topography instrument can be suitable for measuring the topography of shallow sea areas.

The invention discloses a shallow sea self-sinking and floating type section buoy based on a flexible solar material and a method thereof. The shallow sea self-sinking and floating type section buoy comprises a detection unit, and the detection unit comprises a shell assembly, a sensing assembly arranged at the top of the shell assembly, a hydraulic system arranged in the shell assembly and a control assembly arranged in the shell assembly; the hydraulic system comprises an inner oil bag, an outer oil bag, a first two-position two-way electromagnetic directional valve connected with the inner oil bag through a pipeline and a second two-position two-way electromagnetic directional valve connected with the inner oil bag through a pipeline, and the first two-position two-way electromagnetic directional valve is connected with a third two-position two-way electromagnetic directional valve. Efficient collection of solar energy is achieved, the gravity center of the buoy is adjusted by rotating the position of the mass block, so that the posture of the buoy is changed, the buoy body of the buoy rotates by 90 degrees and transversely floats on the sea surface, the influence of sea surface stormy waves on the buoy body is reduced, and the service life of the buoy is prolonged. And the daylighting area of the buoy body exposed out of the water surface is larger.

The invention provides an auxiliary structure for beach and shallow sea ecological restoration and a restoration system construction method, and belongs to the technical field of water conservancy projects for beach and shallow sea ecological restoration. The auxiliary structure comprises a combined type permeable submerged dike structure, a natural wave dissipation combined pile body and an oyster cultivation net-shaped structure. The combined type permeable submerged dike structure comprises hexagonal hollow prisms and isosceles trapezoid hollow prisms, the two prisms are of a staggered and stacked structure, and a natural shelter is provided for small marine organisms. The natural wave dissipation combined pile bodies penetrate through the combined type permeable submerged dike structure through the upper holes and the lower holes of the prisms, and the combined type permeable submerged dike structure is effectively supported and fixed. The oyster cultivation net-shaped structure is fixed to the natural wave dissipation combined pile body, and the design of the net-shaped structure meets the filter feeding environment of oyster cultivation. The repairing system is correspondingly designed based on an auxiliary structure and a field environment. The structure is simple, raw materials are easy to obtain, the protection engineering and the oyster reef body are organically combined, ecological environmental protection is achieved, and follow-up manual treatment is not needed.

The utility model discloses a shallow sea seaweed planting platform and relates to the technical field of marine ecological restoration. Comprising a traction ship, an offshore platform, a mesh belt reel, a seed mesh belt, compression rollers, degradable nails and supporting rods. The traction ship is connected with the offshore platform and can drive the offshore platform to move; the mesh belt reel is fixedly mounted on the offshore platform, the seed mesh belt is wound on the mesh belt reel, and the degradable nails are used for fixing one end of the seed mesh belt on the seabed in a needle pricking manner; one end of each supporting rod is in hinged connection with the offshore platform through a fixed hinge point, so that the supporting rods can rotate around the corresponding hinge points, the supporting rods rotate in a plane, and the net belt reel and the rotating plane are coplanar; and a compression roller is arranged at the other end of the supporting rod and can rotate on the corresponding end point of the supporting rod. The planting efficiency is improved, manual operation is partially replaced, and the operation process is simplified.