968 results about "Submarine" patented technology

The invention discloses a submarine pipeline state early warning method and system based on scour-vibration coupling sensing, and the method comprises the steps: obtaining the historical marine environment information of a target submarine pipeline region, laying a monitoring sensor array according to the historical marine environment information, collecting multi-source monitoring data, and carrying out the preprocessing of the multi-source monitoring data, thereby forming a multi-source monitoring data set. And constructing a multi-physical field coupling analysis model, inputting the data set into the model to analyze the response condition of the pipeline in the current seabed environment, and obtaining pipeline response simulation information. And analyzing resonance influence caused by environmental scouring in different sections, generating resonance derivative characteristics, and constructing pipeline multi-modal fusion characteristics in combination with monitoring data. Predicting the future response state of the pipeline through the submarine pipeline state analysis model, and carrying out risk early warning prompt; meanwhile, the fatigue life of each section is analyzed based on resonance derivative characteristics, fatigue-prone sections are identified, and maintenance suggestions are generated and pushed. Therefore, the accuracy and timeliness of sensing the state of the submarine pipeline are improved, and the early warning intelligence of the submarine pipeline is effectively improved.

The invention relates to the field of civil engineering structure health monitoring, in particular to a subsea tunnel damage intelligent monitoring and identification method based on acousto-optic collaborative perception. The method sequentially comprises the steps of deploying a three-dimensional acousto-optic sensing network, actively detecting sound waves, reconstructing a local sound velocity distribution cloud picture, identifying a sound velocity abnormal region, performing optical fiber response focusing sampling and establishing an intelligent damage diagnosis model. According to the method, the three-dimensional acoustic array and the distributed optical fiber grid are simultaneously deployed in the subsea tunnel structure, functional complementation is realized between the three-dimensional acoustic array and the distributed optical fiber grid, seamless cooperative sensing of crack coarse positioning and strain fine positioning is further realized, acoustic active detection, trigger type optical fiber high-frequency sampling and a temperature-strain decoupling algorithm are adopted, and the positioning precision of the subsea tunnel structure is improved. Seawater noise and thermal expansion interference are effectively eliminated, 'dry cracks' and'water seepage cracks' are accurately distinguished, real-time monitoring is carried out on a subsea tunnel structure, whole-process identification of micro-damage-expansion-failure is achieved, and an active early warning mechanism is established.

The invention discloses a multi-field sensing fusion deep sea geological environment dynamic monitoring system and an application method. The system comprises a buoy measuring platform, a multi-beam sounding system, a high-precision marine gravimeter, an external camera, a GPS, a data acquisition and transmission control unit and a power supply system. By designing a modularized and integrated multi-sensor buoy platform, various sensors are fused and integrated. A plurality of sensors are connected to the data acquisition control terminal, the steps of sensor calibration, data synchronization and clock calibration, correction and compensation, data acquisition, real-time processing, fine post-processing, data transmission and the like are completed, and multi-sensor collaborative operation is realized, so that submarine topography and ocean gravity data of a deep sea ditch area are synchronously acquired in real time; and thus, diving erosion information experienced by the area can be accurately monitored. The method can provide important support for submarine topography and landform detection and application and marine geographic information system construction, and has application value in the aspects of geological disaster early warning, resource development and the like.

The invention discloses a detection method of an ocean magnetic field sensor based on a diamond NV color center. The detection method comprises the following steps: S1, calibrating a base line; s2, alternately measuring fluorescence between two single quantum resonance frequencies, and obtaining a difference to realize DQ reading; s3, three-axis compensation current is adjusted based on closed-loop control, and the NV working point is maintained at zero magnetization bias; s4, obtaining background magnetic field change through digital demodulation and adaptive filtering; and S5, calculating a gradient based on the spatial difference of the multi-point light spots, judging the existence and trajectory of the underwater vehicle in combination with a threshold value and a spectrum matching method, calibrating the threshold value according to the magnetic field characteristics of the existing underwater vehicle, adopting short-time Fourier transform signal spectrum, comparing the threshold value with known submarine characteristic spectrum data, and prompting if the similarity exceeds a set threshold value. According to the detection method, the measurement precision and the anti-interference capability can be improved, and the method is suitable for real-time monitoring of weak magnetic anomalies (such as magnetic moment disturbance of an underwater vehicle).

The invention belongs to the technical field related to tunnels, and provides a subsea tunnel cross-fault water inrush catastrophe early warning decision-making method and system in order to solve the problems of inaccurate water inrush recognition, lack of interpretability and the like when an existing subsea tunnel passes through a fault zone high-risk scene. Full-process response control from weighting, prediction to explanation of the input features is realized; driving force analysis is carried out by adopting an interpretable model, so that a transparent and credible risk assessment result is provided; and by combining key driving force in the multi-source heterogeneous data and through numerical simulation of the water inrush catastrophe condition, real-time identification and early warning of the tunnel water inrush risk are comprehensively realized, the identification accuracy of the water inrush risk in the tunnel construction process and the completeness of an early warning mechanism are effectively improved, and the method has important engineering application value.

The invention discloses a submarine topography super-resolution reconstruction method based on window displacement multi-source fusion, and aims to solve the problem of precision attenuation caused by absence of multi-beam truth value evaluation and resolution improvement of an existing neural network submarine topography reconstruction method. The method comprises the following steps of: obtaining gravity anomaly, gravity vertical gradient, vertical line deviation component, submarine topography background and ship survey water depth multi-source data of a target sea area; constructing a residual U-Net attention neural network model, and performing training by taking multi-source data extracted by a 11 * 11 window and position codes as input; moving the trained model sampling window in a staggered manner according to a target resolution step length; extracting data points in the window during movement and injecting position codes; and outputting a high-resolution water depth predicted value based on the position code and the window data. The reconstruction precision is improved by fusing physical quantities, the multi-resolution robustness is guaranteed by a window displacement mechanism, and the medium-frequency feature reconstruction capability is enhanced by a residual U-Net attention model.

The invention relates to the technical field of construction of seabed linear target detection models, in particular to a construction method of a self-adaptive semantic segmentation seabed linear target detection model. The method comprises the following steps: obtaining original image data of a seabed scene, extracting a first feature point and a second feature point, and analyzing a structural response difference between the first feature point and the second feature point; calculating a linear rotation angle and a curvature change trend of a connection path based on the structure response difference, constructing a spatial distribution change diagram, extracting a cable continuous trend, and marking a stable section and an abnormal variation section; designing a deep neural network comprising a multi-level convolution structure and a cyclic memory structure, and extracting structure extension and repair features; the depth features of the coherent region and the incoherent region are fused, and a seabed target detection model based on DeepLabv3 + is constructed; semantic segmentation is carried out on the waterfall plot, and the segmentation precision of the model is evaluated to realize optimization; according to the invention, through the construction of the target detection model, the target detection is more accurate and efficient.

The invention discloses a node trajectory prediction method and device for an air-sky-sea-diving unmanned cluster, and belongs to the technical field of mobile ad hoc networks, and the method comprises the steps: collecting data in real time, and carrying out the preprocessing of the data; constructing an unmanned node trajectory prediction model based on a gating circulation unit, a Transform and a width learning system, and inputting data into a gating circulation unit and Transform parallel cascade module; performing weighted fusion on module output results, and dynamically adjusting the weight by using a back propagation algorithm; and finally, the weighted fusion result and the dynamic environment index are input into a width learning system, the output of the width learning system outputs a final unmanned node trajectory prediction result through a full connection layer, and the width learning system can dynamically adjust the network width according to the data change. Based on the method provided by the invention, the gating circulation unit and the Transform are cascaded in parallel, the combination of real-time response and long-term prediction is realized, a wide learning system is introduced to quickly adapt to data distribution change through incremental expansion, and the environmental adaptability of a prediction model is improved.

The invention discloses an integrated seabed data center structure based on a negative pressure barrel foundation, the integrated seabed data center structure comprises a negative pressure barrel body, a data center cabin is integrally formed on the top surface of the negative pressure barrel body, and a circulating cooling pipe is arranged in the data center cabin. Large-scale construction of the submarine data center can be realized, structural parameters of the negative pressure barrel and the data center cabin can be adjusted according to construction requirements, and a plurality of data cabins can be mounted in the data center cabin, so that the whole data center cabin shares one negative pressure barrel foundation, and the construction cost of the submarine data center is reduced; the negative pressure barrel body and the data center cabin are prefabricated through concrete, compared with steel materials, the economical efficiency is better, the construction cost is reduced, meanwhile, seabed sinking installation of the data center cabin is achieved through the negative pressure principle, large piling equipment is not needed, and the installation speed is high.

The invention relates to a method and system for determining the water content of a safe shutdown boundary of a submarine mixed transportation pipeline, and the method comprises the steps: carrying out a physical property parameter test, and taking the physical property parameter as a multiphase flow simulation input parameter; carrying out submarine pipeline shutdown simulation on the basis of the physical property parameter test data, and obtaining oil section temperatures and spatial distribution characteristics at different water depth positions in the pipeline; carrying out an oil-water layering characteristic experiment under a temperature control condition to obtain an oil-water emulsion layering characteristic; sampling oil sections with different layer heights in the oil-water layering characteristic experiment, and testing the water content and simulating the yield / slip characteristic at the oil section temperature based on the temperature distribution of the oil sections; according to the yield / slip stress of the oil sections with different layer heights, carrying out segmented calculation and weighted accumulation to obtain an overall starting stress; on the basis of the overall starting stress, the safe shutdown boundary moisture content is determined in combination with pressure boundary conditions. The method can effectively guide the safe transportation stopping and restarting of the submarine pipeline, optimizes the replacement operation after the transportation stopping of the submarine pipeline, and improves the operation safety and economy.

The invention discloses a multi-dimensional stealth submarine bionic heterogeneous protective shell and a preparation method thereof, and relates to the technical field of ship and ocean engineering. The submarine bionic heterogeneous protective shell is composed of a sandwich structure and a modified carbon nanotube film; the sandwich structure comprises a bionic Priative multi-stage rotating core layer, a bionic Diamond multi-stage rotating core layer, a bionic octagonal body spiral core layer, a bionic rhombic dodecahedron spiral core layer, a micro-perforated plate and a sound absorption lower plate. According to the design, the Bouligand structure and the acoustic structure principle of the giant bone tongue fish scale are fused, the unique configuration of inter-layer rotation and spiral rising in the microstructure of the giant bone tongue fish scale is used for reference, four bionic structures are innovatively constructed, deformation is effectively restrained, the stability of the overall structure is improved, and through force-sound coupling regulation and control, the mechanical property of the giant bone tongue fish scale is greatly improved. And an innovative solution is provided for achieving the mechanical bearing and sound stealth integrated function of the submarine shell.

The invention discloses an intelligent seabed energy detection system and method based on visible light communication, and belongs to the technical field of deep sea detection, the detection system comprises a data acquisition system (1) and a visible light communication system (2), the data acquisition system (1) structurally comprises a high-definition camera (11), an underwater sensor (12) and a first analog-to-digital converter ADC (13), the visible light communication system (2) structurally comprises a transmitting end and a receiving end; the detection method comprises the steps of front-end acquisition, signal conversion, signal processing, optical signal transmission and signal restoration. The characteristics of high frequency and large bandwidth of light waves are utilized, the intensity of light is modulated, binary code element signals are converted into optical signals, the optical signals are received through the photoelectric detector for underwater information transmission, efficient and real-time submarine energy monitoring and analysis are achieved, and comprehensive technical support is provided for development and utilization of submarine energy.

The invention discloses a cooperative control method and system for a seabed intelligent underwater vehicle and a mother boat, and relates to the technical field of underwater intelligent control and multi-boat cooperative navigation, and the method comprises the steps: collecting multi-source marine environment parameters to construct a dynamic environment perception model, and building a propulsion energy consumption estimation map according to three-dimensional space nodes. And constructing a multi-agent state-action structure, and executing path selection and cooperative route planning of the mother boat-underwater vehicle through reinforcement learning. And error judgment is executed according to the propulsion energy consumption data returned by the underwater vehicle, and an online increment mechanism is called to dynamically update the energy consumption model and the path diagram structure. According to the method disclosed by the invention, an underwater cluster control whole-process system from sensing to planning to feedback optimization is completed. Each step has independent value and supports each other, finally, a high-adaptability, high-efficiency and intelligent cooperative seabed operation control system is constructed, the dependence of the prior art on communication, a high-precision model and cluster control capability is broken through, and the method is suitable for deep sea complex application scenes.

The invention discloses an AUV submarine petroleum pipeline inspection risk identification system based on deep learning, and relates to the technical field of ocean engineering, and the system comprises an inspection risk management center, and the inspection risk management center is in communication connection with the following modules: an AUV autonomous inspection module, which is used for deploying an AUV to carry out an inspection task of a submarine petroleum pipeline, and the control instruction of the AUV is dynamically adjusted according to the seabed environment and the pipeline state, and the inspection path and speed are optimized. The abnormal pipeline identification model is constructed by combining the deep learning algorithm, the pipeline image data can be efficiently classified, the submarine petroleum pipeline area in the abnormal state can be identified, the identified abnormal state area is further analyzed, the pipeline risk trend index is calculated, and the potential risk level of the pipeline is evaluated. Potential safety hazards can be found and treated in time, accidents are prevented, and safe operation of the submarine petroleum pipeline is guaranteed.

The invention discloses a low-cost transportable system for UUV path planning and control experiments. The low-cost transportable system comprises a shore-based unit, a buoy unit, an underwater vehicle unit, a zero-buoyancy cable and a software stack, the UWB tag, the router, the GNSS and the rocker receiver are integrated in the buoy, a sealing waterproof design is adopted, and the buoy can stably float on the water surface and is in wired connection with the underwater vehicle through the zero-buoyancy cable; the three-dimensional position of the underwater vehicle is obtained, the upper computer and the UWB base station are deployed on a shore base, the upper computer interacts the calculated position with the router in the buoy through wireless communication, and a stable and efficient communication link is constructed. The system can be quickly arranged in indoor and outdoor environments, supports closed-loop path planning and control experiments, can effectively replace expensive USBL or indoor dynamic capturing and positioning systems, remarkably reduces experiment cost, and improves experiment flexibility and portability.

The invention discloses a technical scheme of a submarine pipeline health assessment method and system based on multi-state quantity data fusion, and the method comprises the steps: improving the defect classification precision while reducing the dimensionality through dynamic balance global variance retention and local discrimination enhancement; and a solution with high efficiency and robustness is provided for feature fusion and accurate evaluation of the multi-source high-dimensional pipeline data. The submarine pipeline health assessment method comprises the following steps: collecting monitoring data of a sensor in a submarine pipeline, the monitoring data including but not limited to stress strain, acceleration, vibration and temperature in the submarine pipeline; carrying out fusion and dimension reduction processing on the obtained multi-source heterogeneous data, and finding out a mutual relation of changes among parameters of the submarine pipeline in the same time period; calculating a pipeline damage condition coefficient and a repair index according to an analysis result of the multi-source heterogeneous data; and dividing repair grades according to the repair indexes, comprehensively judging the health state of the submarine pipeline, and giving a repair suggestion.

The invention discloses a large-scale underwater vehicle three-dimensional dynamic obstacle avoidance method based on multiple single-beam sonar arrays, and the method comprises the steps: S1, collecting three-dimensional space detection data according to the arrangement of a space array composed of a center sonar and four peripheral sonars, and generating three-dimensional environment perception information; s2, based on the three-dimensional environment perception information, fusing data of an inertial navigation system, a Doppler velocimeter and a depth sensor, and generating real-time attitude and obstacle distribution information of the underwater vehicle; s3, on the basis of the real-time attitude of the underwater vehicle and the obstacle distribution information, risk level assessment and obstacle avoidance path planning are executed, and an obstacle avoidance control instruction is generated; and S4, based on the obstacle avoidance control instruction, controlling a power system of the underwater vehicle to adjust the course, the pitch angle and the speed so as to realize three-dimensional dynamic obstacle avoidance. The problem that a traditional single-beam sonar is insufficient in stereoscopic perception capability is solved, and the defect that the traditional single-beam sonar cannot effectively detect obstacles in the pitch angle direction (such as a submarine abrupt slope and a suspended rock frame) is overcome.

The invention relates to the technical field of submarine topography tracking simulation, in particular to an on-line multi-step prediction topography tracking method for an autonomous underwater vehicle. Comprising the following steps that noise filtering is carried out on a depth value in the AUV navigation process and a height value relative to the seabed through a Kalman filtering algorithm, filtered water depth data are stored in a database, a water depth value at the k + 1 moment is predicted, terrain prediction fitting is carried out through data in the database, and a terrain curve is obtained; after the predicted terrain in front of the AUV is obtained, a correction point is generated based on a normal tracking strategy, the correction point is subjected to dynamic constraint, and a reasonable expected position point is output to the AUV; the motion of the AUV is guided by using the submarine topography, so that the tracking of the submarine topography is realized. According to the method, terrain tracking of the AUV under the unknown seabed condition is realized, and the stability of the AUV in the navigation process is ensured.

The present application relates to the technical field of bubble plume simulation, in particular to a submarine bubble plume imaging simulation platform and a simulation method. The platform comprises a water tank, a plume leakage simulation system, an environment simulation system and a monitoring control system. The plume leakage simulation system comprises a gas generating mechanism, a water flow generating mechanism and a jet device, and the jet device is arranged at the bottom of the water tank. The environment simulation system is arranged in the water tank. The monitoring control system is connected with the plume leakage simulation system and the environment simulation system. The submarine cold spring bubble plume shape and behavior can be simulated, and the corresponding acoustic and optical images can be collected. These data can be used to train a deep learning model to achieve the function of target detection of the plume in a real sea area.

The invention relates to grid laying equipment for immersed tunnel backfilling and an immersed tunnel backfilling method, belongs to the technical field of subsea tunnel construction, and aims to solve the problem that grids are difficult to lay accurately in existing immersed tunnel backfilling construction. The grating laying equipment for immersed tunnel backfilling comprises a first track, a second track, a charging mechanism, a configuration mechanism, a traction mechanism and a fixing device. The two first rails are arranged on the two sides of the immersed tunnel in parallel. The loading mechanism is movably arranged on the first track and is used for loading a grating roll; the configuration mechanism is communicated with the loading mechanism, is used for receiving the grating roll and can adjust the stretching end of the grating roll to the discharge port; the second rail is arranged perpendicular to the first rail and can slide along the first rail; the stretching end of the grid roll is pulled by the pulling mechanism, so that the gravel layer is fully paved with the grid; and the laid grating layer is fixed on the rubble layer by using a fixing device. According to the application, the accurate laying of the grating in the backfill construction of the underwater immersed tube tunnel is realized.

A jacking mechanism of a seabed data center belongs to the technical field of seabed data centers and comprises five jacking structures mounted on a rotating shaft in a large-diameter steel pipe pile, a data cabin is placed on one side of each jacking structure, and each jacking structure comprises a mounting vertical plate; a first winding disc is rotationally mounted on one side of the outer surface of each of the five mounting vertical plates, when the data cabin body needs to be maintained and overhauled, a driving motor corresponding to the data cabin body is started, so that an output shaft of the driving motor drives the first winding disc to rotate, and the first winding disc is connected through a steel cable; therefore, the steel cable can circularly rotate on the outer surfaces of the first winding disc and the second winding disc, the fastening ring can drive the data cabin body to move up and down along with the steel cable, the top of the data cabin body is jacked to the position as high as the working platform, personnel can conveniently enter the data cabin body to carry out maintenance and overhaul, and the purposes of rapid overhaul and convenient operation are achieved. And the problems of high construction risk and high difficulty during maintenance of the conventional submarine data center are solved.

The invention relates to a multi-domain collaborative ocean emergency rescue method, which solves the technical problems of short endurance, small operation range and low recognition accuracy of persons in distress when an unmanned aerial vehicle or an unmanned ship or an underwater robot is adopted to carry out a search and rescue task in the prior art, and combines the unmanned aerial vehicle, the unmanned ship and the underwater robot for mutual cooperation. The unmanned aerial vehicle carries out investigation traversal in the air to find a search and rescue target, the unmanned aerial vehicle gets close to the search and rescue target and sends the position information of the target to the control center, the unmanned ship sails to the position of the target, the at least two underwater robots are transferred along with the unmanned ship, and the unmanned ship controls the at least two underwater robots to work cooperatively. The method can be widely applied to deep ocean emergency rescue, and an'air-sea-submerged 'multi-domain cooperative new normal form is formed.

The invention discloses a submarine observation network power supply system protection method based on traveling wave extreme value time, and relates to the technical field of submarine power grid protection, and the method comprises the steps: determining the layout position of a protection device according to a network structure, a power supply path and node importance, and dividing a system into protection regions defined by adjacent protection devices; voltage signals are collected in real time, first-order differential processing is carried out, and fault occurrence is judged by comparing the voltage change rate with a preset threshold value; recording current traveling wave data before and after the fault and carrying out Gaussian filtering noise reduction; calculating the extreme value time of the traveling wave by using a differential gradient algorithm; comparing the time difference of traveling wave extreme values on two sides of the protection area to judge the fault direction; judging a fault area in combination with the extreme time and a preset threshold value; and when the forward direction criterion and the intra-region criterion are met at the same time, a protection action is triggered. The method has the advantages that high-reliability fault positioning and rapid isolation can still be achieved under the communication failure scene, and the problem of remote fault and high-resistance fault recognition is effectively solved.

The invention discloses an underwater multi-medium refraction parameter calibration method based on a binocular camera, and belongs to the technical field of underwater binocular vision measurement. The method comprises the following steps: firstly, completing Zhang Zhengyou calibration of a binocular camera in the air, and obtaining internal and external parameters and a distortion coefficient; establishing an'air-glass-air 'refraction model, and calculating a normalized incident ray direction by extracting checkerboard angular point pixel coordinates and performing distortion removal; constructing a position relation between a real target plane and a virtual image plane, and solving a normal vector of a refraction interface; combining a ray tracing method to construct a multi-dimensional constraint objective function fusing a physical spacing error, a plane residual error and ray intersection consistency, and adopting a nonlinear optimization method to jointly estimate the glass thickness and the distance from the optical center of the camera to a refraction interface; and finally, expanding to an air-glass-water model to realize high-precision three-dimensional positioning of an underwater target point. The method does not need underwater calibration, and is suitable for scenes of underwater structure detection, submarine topography modeling and the like.

The invention provides a method for improving transient stability of a submarine direct-current power supply system based on frequency compensation. The method comprises the following steps: acquiring a real-time electrical parameter detection item of a first system; based on the first system real-time electrical parameter detection item, judging whether the system load power is within a power range required by a transient stable operation condition; if not, the switching frequency compensation amount of the input-series output-parallel resonant converter sub-module is calculated; based on the switching frequency compensation amount, determining a switching signal of a sub-module switching tube of the input-series output-parallel resonant converter; acquiring a real-time electrical parameter detection item of a second system; based on a second system real-time electrical parameter detection item, judging whether the system load power is within a power range required by a transient stable operation condition; if yes, conventional frequency conversion control is adopted. The technical blank in the field is effectively filled, and the stability of the submarine direct-current power supply system in the transient process is remarkably improved.

The invention discloses a rotary flange underwater sealing butt joint method for a deepwater large-diameter composite pipeline, and belongs to the technical field of submarine pipeline engineering. According to the method, aiming at the problems that a traditional flange joint is insufficient in sealing reliability in a deepwater dynamic environment and lacks a long-term monitoring means, a pressure self-adaptive sealing cavity is formed in a rotating flange disc surface, internal pressure is utilized to enhance sealing specific pressure, and a pressure sensor is integrated to monitor a sealing state in real time; and meanwhile, a pressure sensor interface is reserved to realize long-term data acquisition. The device is mainly used for installation, operation and maintenance of submarine water and oil gas pipelines, and long-term sealing safety of pipeline connectors can be effectively guaranteed.

The invention discloses a submarine image splicing method based on suture line optimization, and the method comprises the steps: carrying out the dual-stage feature extraction of a target submarine image based on an improved ResNet50 network, and obtaining a multi-level feature map containing global structure information and local detail features; respectively carrying out global coarse registration and local fine correction on the second feature map and the first feature map based on a deformable convolutional network to obtain a sub-pixel level aligned deformed image; and carrying out cross-scale feature interaction and dynamic mask optimization on the deformed images based on a cross-image self-attention mechanism, dividing suture line weights between the spliced images, and carrying out pixel classification according to the weights to obtain seamless spliced images. According to the method, semantic fusion is guided through deformable convolution modeling elastic deformation and a self-attention mechanism, sub-pixel-level alignment and seamless splicing are achieved, and the problems of geometric dislocation and suture line artifacts caused by refraction distortion, scattering noise and dynamic deformation in large-parallax submarine image splicing are solved.

The invention provides a ship and ocean engineering structure corrosion fatigue crack propagation rate prediction method based on machine learning. The method comprises the following steps: S1, obtaining all characteristic variables; s2, screening core influence factors from all feature variables through a feature selection algorithm to obtain feature data; s3, establishing a machine learning prediction model which adopts one of a plurality of machine learning algorithms, and inputting the feature data into the machine learning prediction model to learn a nonlinear mapping relationship between corrosion fatigue crack growth rate data and the selected variables, optimizing the machine learning prediction model by using a hyper-parameter optimization method to obtain a trained model; and S4, inputting feature data of a to-be-predicted target into the trained model for prediction to obtain the corrosion fatigue crack growth rate of the to-be-predicted target. The method is suitable for service safety analysis and life evaluation of key facilities such as ships, ocean platforms and submarine pipelines.

The invention belongs to the technical field of submarine topography information processing, and discloses a submarine topography modeling method and system of a multi-resolution grid. The method comprises the following steps: generating a quadtree-based multi-resolution grid model; obtaining a multi-resolution grid model according to the terrain complexity evaluation index, and obtaining a node subdivision evaluation index for the terrain complexity; in the process of multi-resolution grid display rendering, cracks generated by splicing of adjacent grids with different resolutions are eliminated by using an edge adding method. Through the combination of the quadtree storage structure and the multi-resolution grid, the number of high-precision grid points is reduced, so that the space redundancy of data storage is remarkably reduced. According to the method, the spatial redundancy is reduced, the terrain features and the gradient are considered through the subdivision evaluation function, the complex features of the terrain can be well reserved, and the overall terrain precision is ensured.

The invention discloses a submarine pipeline laying device, and belongs to the technical field of submarine pipeline laying, the submarine pipeline laying device comprises a sand box, a mixed fluid pressurization conveying assembly and a vibration transmission assembly, the bottom of the sand box is provided with a slag outlet pipe, the outer surface of the slag outlet pipe is connected with a slag slurry pump, a pipeline is installed in a submarine groove, and the upper surface of the pipeline is movably connected with a pipe bag; through mutual cooperation of the water reducing agent tank, the water reducing agent pipe, the flow meter, the flocculant tank, the flocculant pipe and the water pump II, a water reducing agent and a flocculant can be accurately conveyed into the sand box, the flowability of the water reducing agent and the flocculant is ensured, and a mixture of seawater, coarse sand, the flocculant and the water reducing agent can be pumped into the pipe bag through the slurry pump; the flowing and impact of the liquid can drive the tube bag to vibrate, and then drive the vibration rod, the vibration piece, the vibration ball and the non-Newtonian fluid balls in the hole grooves to vibrate, so that the vibration of the tube bag is accelerated, the mixture is prevented from caking, and all corners of the tube bag are uniformly filled with the mixture.