236 results about "Shallow sea" patented technology

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.

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 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 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 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.

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.

The invention relates to a seabed sediment intelligent discrimination method based on active target echoes, and the method comprises the following steps: 1, building different types of seabed sediment echo simulation data sets based on a normal wave model; step 2, constructing a seabed sediment classification network model; establishing a mapping relation between the echo data and the type of the seabed sediment by using a neural network; step 3, training the seabed sediment classification network; and 4, preprocessing actual echo data to be predicted according to the same preprocessing mode, and inputting the data into the network to obtain an estimation result of the type of the seabed sediment. According to the method, the normal wave approximation under the distance-independent shallow sea waveguide condition is utilized, the seabed sediment needing to be represented by a plurality of parameters is simplified to be represented by a single parameter of the normal wave number capable of being propagated in the waveguide, the parameter quantity is greatly simplified, and the automatic classification of the seabed sediment is realized by utilizing the deep learning technology.

The invention discloses a training method based on a time-frequency cross information fusion neural network, and belongs to the technical field of underwater target detection, and the method comprises the steps: S1, constructing a mixed data set comprising a positive sample set and a negative sample set; the positive sample set comprises non-stationary and non-Gaussian noise data b in a simulated shallow sea environment and background magnetic field data c actually measured without a target; the negative sample set comprises simulated non-stationary and non-Gaussian noise data b in a shallow sea environment and simulated axial frequency magnetic field data a when an underwater target exists. And S2, training the neural network based on time-frequency cross information fusion by using samples in the mixed data set until convergence. The time domain and frequency domain features are comprehensively considered, the influence of background noise is eliminated by representing the simultaneous appearance of the time domain envelope feature and the frequency domain harmonic feature of the axial frequency magnetic field signal when the moving target exists, and the accuracy and robustness of underwater target detection can be improved by using the neural network based on time-frequency cross information fusion obtained by training.

The invention relates to the technical field of marine acoustics, in particular to a multi-criterion selection method for a complex marine environment sound field calculation model, which comprises the following steps: S1, acquiring environmental parameters of a target sea area; s2, judging whether the terrain is horizontally changed, whether the seabed sediment is horizontally changed and whether the sound velocity profile gradient is horizontally changed according to the environmental parameters, if the terrain is horizontally unchanged, the seabed sediment is horizontally unchanged and the sound velocity profile gradient is horizontally unchanged, judging that the sound field environment level is unchanged, otherwise, judging that the sound field environment level is changed; and S3, selecting a model according to whether the sound field environment level is changed or not, if the sound field environment level is unchanged, selecting a shallow sea smooth average sound field model or a deep sea generalized phase integral model WKBZ according to a sea depth threshold value, and if the sound field environment level is changed, selecting a parabolic equation model RAM or a ray model BELLHOP according to a terrain type and a frequency threshold value. Through a multi-criterion selection method, scientization and engineering of complex marine environment sound field calculation model selection can be realized.

The invention relates to an underwater target passive positioning technology in a horizontally changing shallow sea waveguide, and mainly relates to a matching mode target passive positioning method combined with a bidirectional coupling normal wave theory. According to the method, firstly, a bidirectional coupling normal wave model based on a multi-modal admittance method is established for the boundary value problem of a Helmholtz equation in a horizontal change shallow sea waveguide, the model considers modal coupling and backscattering effects, and a high-precision copy sound field and a modal coefficient calculation result of the copy sound field can be provided; then extracting a modal coefficient of a measurement field from data received by the vertical hydrophone array; and finally, processing the modal coefficient of the copy field and the modal coefficient of the measurement field by using a matching mode processor to obtain a fuzzy surface, and estimating the distance and depth information of the underwater target. According to the invention, the conventional matching mode positioning algorithm is improved from the perspective of underwater acoustic physics, and the positioning performance of the conventional matching mode algorithm in the horizontally changing shallow sea waveguide is improved.

The invention discloses an underwater structure low-frequency radiation sound power forecasting method based on blind source separation, and the method comprises the following steps: (1), setting a housing sound source in a shallow sea environment, and obtaining discrete sound pressure; (2) obtaining an estimation signal of the source signal through a blind source separation algorithm; (3) windowing the estimated signal space data of the source signal in the z direction to obtain the sound pressure propagating outwards after windowing; (4) the sound pressure propagating outwards is converted into a wave number domain through discrete space Fourier transform, and a holographic surface sound pressure cylindrical wave spectrum is obtained; (5) filtering evanescent waves in a wavenumber domain by using a wavenumber domain filter to obtain propagation waves on a holographic surface; (6) transmitting the filtered sound pressure to a far field in a spherical shape through a near-field acoustical holography technology by means of stable-phase estimation; (7) deducing the sound intensity by using the far-field sound pressure so as to obtain the radiation sound power; according to the invention, the measurement workload is reduced; measurement is carried out on a holographic surface close to a sound source, the influence of boundary reflection is small, and a calculation result is accurate.

The invention discloses a marine geophysical prospecting instrument cable type winding and unwinding rope holding device which comprises a main cable, a rope clip and an auxiliary cable, the rope clip is detachably connected with the main cable and the auxiliary cable and comprises a first clamping piece and a second clamping piece, and the first clamping piece and the second clamping piece are fixedly connected through a connecting shaft and are kept parallel in the axial direction; each of the first clamping piece and the second clamping piece comprises an upper clamping piece and a lower clamping piece which are oppositely arranged, the upper clamping piece and the lower clamping piece of the first clamping piece form a first holding hole at the first end part, the upper clamping piece and the lower clamping piece of the second clamping piece form a second holding hole at the first end part, the inner diameter of the first holding hole is smaller than the outer diameter of the main cable, and the inner diameter of the second holding hole is smaller than the outer diameter of the main cable. The inner diameter of the second holding hole is larger than the outer diameter of the main cable, and elastic assemblies are arranged at the positions, close to the second end, of the upper clamping piece and the lower clamping piece. The device is suitable for the collecting and releasing operation requirements of all nodes, can meet the requirements of the collecting and releasing operation of the cable type nodes with the water depth of 1000 meters to the picking and hanging device, and is widely applied to seismic exploration and acquisition operation of the nodes in the beach and shallow sea.

The invention belongs to the technical field of offshore wind power. According to the TLP floating type draught fan for the shallow sea and the stabilization control method, a draught fan body is fixed to a steel tower, the steel tower is fixedly connected to a truss type tower barrel, the bottom of the truss type tower barrel is connected with a plurality of height-variable floating barrels, and adjustable tension keys are connected to the bottoms of the height-variable floating barrels; the height-variable buoy comprises an inner barrel and an outer barrel, the inner barrel is located in the outer sleeve, and the jacking mechanism is arranged at the bottom in the outer barrel to drive the inner barrel to move up and down; a damping bin is arranged in the inner cylinder, the outer side wall of the damping bin is connected with the inner side wall and the inner bottom wall of the inner cylinder through elastic pieces, and the damping bin is connected with a liquid supply device through a pipeline so as to increase liquid when the floating body exceeds a set angle; wherein the floating body is a combined body of a plurality of height-variable floating barrels; the overall load is reduced while the supporting strength is guaranteed, and the device adapts to the limited water depth working condition of the shallow sea.

The invention relates to the technical field of marine hydrographic survey, and discloses a shallow sea full-profile ocean current information acquisition method based on data fusion, which comprises the following steps of: performing bidirectional dual acoustic detection on a shipborne measuring unit and a bottom-supported measuring unit, and acquiring and comparing respective acoustic channel transfer functions; the ocean current effect is quantified by analyzing symmetry breaking of the transfer function, meanwhile, channel disturbance characteristics of the water body environment are recognized, then the disturbance characteristics serve as dynamic constraints to guide data fusion, and an accompanying confidence coefficient index is generated for fused ocean current information. According to the method, an analysis core is changed from a measurement result to an acoustic channel bearing information, self-consistency verification is carried out on the measurement process while the flow velocity is obtained by analyzing the symmetry of channel response, and real flow field change and environment disturbance artifacts are distinguished from the physical principle, so that a blind area of data confidence in the prior art is avoided, and the accuracy of flow velocity measurement is improved. Measurement and diagnosis are integrated.

An offshore hydrogen production platform hydrogen production equipment cooling system comprises a gas-liquid treater, a hydrogen purification device, a chilled water machine, a hydrogen compressor and a hydrogenation machine, an inlet of the gas-liquid treater is connected with an electrolytic bath, and an outlet of the gas-liquid treater is sequentially connected with a hydrogen passivation device, the hydrogen compressor, a buffer gas tank, the hydrogen compressor, a hydrogen storage tank and the hydrogenation machine. The hydrogen adding machine is communicated with the hydrogen-powered ship and provides hydrogen for the hydrogen-powered ship, and the refrigerating unit is connected with the hydrogen passivating device through a pipeline to form a circulating pipeline. Aiming at the characteristics of offshore and shallow sea areas and a fixed hydrogen production platform, when hydrogen production equipment is cooled, required fresh water is provided through cooling of the air cooling radiator arranged on the main deck of the platform, so that the situation that seawater with poor cleanliness in the offshore and shallow sea areas flows through a plate heat exchanger to cool the fresh water to be provided is avoided; the cooling efficiency is improved.

The invention discloses a reverberation suppression method and device for shallow sea distributed scene feature learning. The method comprises the following steps: obtaining a target platform tensor for each target platform; constructing a corresponding deep expansion network for each target platform tensor; for the deep expansion network of the current target platform tensor, after parameter initialization is carried out by using a spectrum method, obtaining the hyper-parameter of the current deep expansion network based on the high-order singular value decomposition training of self-supervised learning; performing low-rank sparse decomposition on the deep expansion network of the current target platform tensor and the deep expansion network of the adjacent target platform tensor by using the current deep expansion network hyper-parameter; a current deep expansion network hyper-parameter is used as an initial hyper-parameter, a hyper-parameter of a deep expansion network of a non-adjacent target platform tensor is obtained based on high-order singular value decomposition training of self-supervised learning, and then low-rank sparse decomposition is performed. The method can be applied to shallow sea distributed scenes and has high-precision reverberation suppression.

A long-distance underwater transportation method for immersed tubes, the steps of which are as follows: S1. After the prefabrication of the immersed tube segments is completed, preparations before launching are carried out; S2. Water is injected into the dry dock, and the immersed tube floats under the action of buoyancy to complete the launching of the immersed tube from the dock; S3. The towing barge tows the immersed tube and floats it along the waterway in the shallow sea area; S4. After the towing barge tows the immersed tube into the deep sea area, the immersed tube is towed to the installation position; S5. Before the immersed tube enters the installation position, the immersed tube floats up, and after floating up, the freeboard height is adjusted and the towing cable is adjusted; S6. The towing barge tows the immersed tube and floats it along the waterway to the designated installation position, and after basic positioning, mooring is carried out. By submerging the immersed tube segments for underwater transportation, the present invention avoids the damage to the structure caused by the extreme deep-sea environmental loads during the transportation process, realizes the long-distance transportation of the immersed tube across the deep sea area, and the present invention realizes the reuse of the existing immersed tube tunnel prefabrication factory, saving the investment in new projects and the construction period of the prefabrication yard.

The utility model discloses a depth-adjustable seawater quality sampling device which comprises a submersible, a remote control module and a positioning module are arranged in the submersible, the depth-adjustable seawater quality sampling device further comprises a sampling mechanism, and the sampling mechanism is arranged on the submersible; according to the depth-adjustable seawater quality sampling device, through the first remote ball valve and the second remote ball valve, on-off of water flow can be accurately controlled, the water flow can be conveniently controlled at different stages, then the internal pressure of the sampling shell is controlled, and through cooperation with the one-way valve, water flow backflow can be prevented, and it is guaranteed that seawater flows in the preset direction; according to the invention, mixing of water samples at different depths is avoided, the sampling accuracy is ensured, the underwater propeller rotates to generate water flow, and the first one-way drainage valve is matched, so that the previously stored relatively shallow sea water can be drained to the outside, stratified sampling of sea water at different depths is facilitated, and the sampling accuracy is further improved.