6476 results about "Seawater" patented technology

A scheduling method and system for the operation of reservoirs to recharge freshwater for repelling saltwater intrusion under changing conditions. Research data of a research area is collected, the research area is generalized, and the river network topology of the area is constructed; the research data acquire the seawater flow data of each station in the research area for N time periods, analyze the correlation between the flow of a predetermined station and the saltwater intrusion and build a seawater flow spatial-temporal evolution model; rainfall data and freshwater runoff of each station are acquired to analyze the variation trends of freshwater flow and hydrological regime of each station and a first ending point and build a freshwater flow spatial-temporal evolution model; and a scheduling model for recharging freshwater for repelling saltwater intrusion is built for simulation, a scheduling method is provided, and a scheduling scheme set is formed.

The invention provides a comprehensive and intelligent mariculture net cage management and control system. The system integrates a multi-parameter sensor module, an underwater robot module, an underwater camera module, a central control module, a data storage and analysis module, an early warning module, a remote communication module and an automatic execution module. By monitoring multiple environmental parameters such as water temperature, salinity, dissolved oxygen and the like in real time and utilizing the underwater robot and the underwater camera to carry out autonomous inspection and fish behavior observation, the system can accurately master the culture environment condition. The AI algorithm and the intelligent model are combined, the system dynamically adjusts the bait casting amount, the oxygenation frequency and the net cage position, and the breeding benefits are effectively improved. Meanwhile, the early warning module carries out graded early warning on risk events such as typhoon and diseases, and the breeding safety is ensured. The remote communication and visual human-computer interface further enhances the remote monitoring and management capability of the system.

The invention discloses a seabed karst stratum tunnel shield data monitoring and analyzing method and system. The method comprises the steps that shield construction mechanical parameters, karst stratum acoustic emission signals and seawater osmotic pressure data are synchronously collected; shield construction mechanical parameters, karst stratum acoustic emission signals and seawater osmotic pressure data are subjected to seepage-stress coupling constraint, a hydraulic connectivity strength index is generated through fracture network seepage tensor inversion, and the filler migration risk level is judged based on pore water pressure dynamic mutation characteristics. And fusing the cutterhead torque frequency spectrum characteristic and the propulsive force fluctuation characteristic to generate a shield disturbance entropy value. According to the method, the hydraulic connectivity index is generated through seepage stress coupling inversion, the grouting path and the rheological parameters are dynamically optimized based on the fracture probability field, shield tunneling, seepage sudden change and grouting prevention and control cooperation is achieved, and the problem of prevention and control disjunction is radically solved.

The invention discloses a deep sea underwater electro-hydraulic actuator (EHA) and a control system thereof. The system provides power through the power source module, balance of system oil pressure and pressure of external seawater is controlled through the pressure compensation module, oil circulation and oil pressure control are conducted through the integrated valve set module, a control instruction of the control module is executed through the execution mechanism module, and the control module conducts cooperative control over the whole system. According to the control system, the unbalanced pressure between the system and the deep sea high-water-pressure environment is compensated through the pressure compensator so as to reduce the influence of the deep sea high-water-pressure environment, meanwhile, the pressure compensator serves as an oil tank to supply oil, miniaturization of the system is achieved, and the reliability of the system during underwater work is improved; according to the deep-sea underwater electro-hydraulic actuator, the mounting positions and internal flow channels of all elements of the integrated valve bank are optimized, the pressure loss of fluid in the flow channels is reduced, and the energy utilization efficiency of the deep-sea underwater electro-hydraulic actuator is improved; the asymmetric hydraulic cylinder can operate in four working conditions of deep sea, and underwater high-precision movement can be completed.

The invention provides a seawater parameter calibration system, and belongs to the technical field of seawater parameter measurement. A thermohaline depth device is used for constructing a three-dimensional structure model to identify a spring layer position, a multi-parameter water quality sensing device is used for collecting data to establish a correlation model, and a dissolved oxygen analysis device is combined with thermohaline data to calculate a correction coefficient; and the spectral analysis device extracts feature recognition chemical components. The method comprises the key steps that a parameter interaction compensation function and an OceanParamNet model are adopted to construct a seawater comprehensive parameter calibration model, original data are corrected, and abnormal values are detected. The system realizes layered storage and wireless transmission of data, dynamically adjusts sampling frequency and power consumption, periodically executes a self-calibration program to compensate aging drift of a sensor, realizes high-precision self-adaptive calibration of seawater parameters, and solves the technical problems of low precision and poor environmental adaptability of seawater multi-parameter collaborative calibration in the prior art.

The invention belongs to the field of deep sea corrosion experiment equipment, and particularly relates to a multivariable coupling control deep sea corrosion environment simulation and monitoring device, which comprises an environment control unit, a deep sea corrosion environment simulation unit, a deep sea corrosion environment simulation unit, a deep sea corrosion environment simulation unit and a deep sea corrosion environment monitoring unit, and is characterized in that the environment control unit comprises a seawater environment cabin, a test sample is vertically arranged in the seawater environment cabin, and two ends of the test sample penetrate through and extend to the outer side of the seawater environment cabin; the pressure control system and the temperature control system are connected with the seawater environment cabin through sealing flanges and are respectively used for simulating deep sea hydrostatic pressure and a low-temperature environment; the mechanical loading system is used for bearing the seawater environment cabin and clamping the two ends of the test sample through the sample clamping system so as to apply a multi-axis dynamic mechanical load; the gas regulation and control unit is used for controlling the concentration of dissolved oxygen in the seawater environment cabin; and the multi-source monitoring module is used for collecting detection data and analyzing the detection data to obtain the corrosion rate of the test sample. The single-variable control limitation of a traditional device is broken through, and a high-fidelity experiment platform is provided for deep sea material corrosion mechanism research and equipment life evaluation.

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 an ocean temperature difference coupled offshore constant-pressure compressed carbon dioxide energy storage system and method, and relates to the technical field of compressed gas energy storage. The system comprises a working medium constant-pressure storage device, a carbon dioxide energy storage circulation loop, a carbon dioxide energy release circulation loop and a heat storage circulation loop. Gaseous carbon dioxide is condensed into a liquid state by utilizing deep sea low-temperature seawater in an energy storage stage, liquid carbon dioxide is evaporated into a gaseous state by utilizing shallow sea high-temperature seawater in an energy release stage, and gas-liquid conversion of carbon dioxide is realized by fully utilizing ocean new energy and ocean temperature difference; the flexible working medium constant-pressure storage device is used for storing low-pressure gaseous carbon dioxide and high-pressure liquid carbon dioxide, the constant pressure of the working medium constant-pressure storage device in the charging and discharging process can be guaranteed, and efficient and stable operation of the system is achieved. Efficient liquefaction and high-density storage of high-pressure carbon dioxide are achieved through the ocean temperature difference and seawater static pressure, the efficiency and energy density of the energy storage system are improved, and deep development of offshore resources is achieved.

According to the coastal saline-alkali land underground water level adjusting system based on real-time monitoring and intelligent regulation and control, the system integrates the soil salinity sensor, the underground water level sensor and the central processing unit, future trend prediction is carried out by monitoring key parameters such as soil salinity and underground water level in real time in combination with a deep learning model, and the real-time monitoring and intelligent regulation and control are achieved. And precise intelligent regulation and control are realized. The system can effectively reduce soil salinization, prevent seawater from flowing backwards, improve the utilization efficiency of water resources and reduce the labor management cost at the same time. The method is characterized in that the application of multi-parameter comprehensive monitoring, a deep learning prediction model and a self-adaptive intelligent regulation and control algorithm provides a new technical solution for coastal saline-alkali land treatment.

The invention discloses a storm surge water increase prediction method and device, electronic equipment and a storage medium, and relates to the technical field of seawater monitoring, and the method comprises the steps: obtaining multi-source observation data of a target sea area, the multi-source observation data comprising satellite remote sensing data, near-shore monitoring data, meteorological mode data and drainage basin data; performing space-time alignment and exception processing on the multi-source observation data to generate standardized space-time grid data; performing hybrid prediction modeling on the standardized space-time grid data through a physical data dual-drive modeling layer to obtain a target probability water increasing field; and dynamically correcting the target probability water increasing field by using real-time observation data to obtain a storm surge water increasing predicted value. A physical mechanism model and a probability generation model are combined, limitation of a single model is overcome, and the nonlinear evolution process of the storm surge is effectively captured; the time-space dual-drive architecture is adapted to complex coast terrains and changeable meteorological conditions, and the risk of missing report or false report is reduced.

The invention relates to the technical field of water resource scheduling, and provides an urban inland river system intelligent resource scheduling management system and method based on dynamic data collaboration, and the method comprises the following steps: S1, collecting river hydrological data, water quality indexes, urban water demands and water transfer facility state data in real time, and carrying out the time-space alignment and abnormal value filtering; s2, a hydrodynamic force-water quality coupling model of multiple water sources is established, a multi-objective optimization model is established in combination with constraint conditions of ecological base flow and an engineering upper limit, and the multiple water sources include but not limited to river water, underground water, reservoir water, reclaimed water, rainwater and desalinated seawater; and S3, carrying out global dynamic optimization on the water transfer proportion and the water transfer facility parameters by adopting a model algorithm, and minimizing the water transfer cost and the ecological influence. By quantifying the maximum flow upper limit and the ecological base flow threshold value of each water source and optimizing the water transfer proportion and facility parameters, the water resource utilization efficiency is improved, and it is guaranteed that the water transfer cost and the ecological influence are balanced in the urban river water dispatching process.

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 an unmanned aerial vehicle fan inspection route autonomous planning method, and relates to the technical field of unmanned aerial vehicle inspection, and the method comprises the following specific steps: real-time data acquisition: establishing a data sharing link with a professional marine monitoring mechanism to obtain tide data, deploying local monitoring equipment in an offshore fan group area, and establishing a data sharing link; according to the method, through fusion of dynamic tide compensation, tide prediction and real-time monitoring data can be obtained in real time, and a dynamic marine environment model is constructed, so that marine environment conditions at different tide moments are accurately reflected; therefore, the unmanned aerial vehicle can avoid a risk area where seawater rises and floaters are increased during flood tide, select a proper flight height and ensure safety, and can be close to a fan foundation for detailed inspection during ebb tide, and meanwhile, a safety buffer area is set by utilizing dangerous area information in the model, so that the inspection safety is further improved.

The invention relates to the technical field of ocean data interpolation filling, in particular to a space-time deficiency filling method and system based on context association and physical guidance. The method comprises the following steps: acquiring seawater dissolved oxygen data and context data; multivariable space-time dependence extraction is carried out based on the obtained seawater dissolved oxygen data and context data; gaussian noise diffusion is carried out based on the obtained seawater dissolved oxygen data; noise prediction is carried out based on double-view space-time correlation; and the prediction error is constrained based on the joint loss function. According to the method, a physical consistency constraint mechanism based on a partial differential equation is introduced in a model training process, so that model output better conforms to a physical coupling rule among variables in a marine environment. The constraint effectively inhibits non-physical fluctuation possibly occurring in the interpolation result, enhances the physical credibility and interpretability of the result, and provides a more reliable data basis for subsequent scientific analysis and process modeling.

The invention relates to the field of ocean conductivity data processing, and discloses an Argo conductivity data correction method based on the influence of thermohaline internal waves, which comprises the following steps: installing a thermohaline depth sensor and an acoustic Doppler flow velocity profiler on an Argo buoy, sampling seawater in the vertical direction, and calculating the depth of the sampled seawater; acquiring temperature, salinity and flow velocity profile data of seawater; determining the upper and lower boundary depths of the thermohalocline and the thickness of the thermohalocline according to the acquired data, calculating the internal wave frequency and the internal wave number, and calculating the temperature internal wave amplitude, the salinity internal wave amplitude, the temperature internal wave phase and the salinity internal wave phase; establishing a conductivity data correction model according to the calculated parameters; and performing dynamic correction on the conductivity data by using the model. According to the method disclosed by the invention, the accuracy and the reliability of conductivity data can be remarkably improved, and support can be provided for research in many fields such as research on physical characteristics of the ocean thermocline and halocline, ocean ecological environment and ocean material circulation.

An environment multi-parameter monitoring base station capable of being used for long-term seafloor work is laid to the seafloor through a mother ship in a cable mode, energy is supplied through a dissolved oxygen seawater battery, long-term seafloor environment in-situ monitoring operation is carried out through carried universal and special instruments and equipment, a shore-based instruction is received to adjust a monitoring strategy, and the monitoring base station is used for monitoring the seafloor environment. Monitoring data is transmitted back to the shore-based laboratory in real time; the monitoring base station comprises a rack system, a monitoring system, a control system, a communication system, an energy supply system and a laying and recycling system; the monitoring system is used for completing in-situ monitoring operation on the influence of a seabed biochemical environment and benthos by adopting a general monitoring instrument and an extended special instrument; and the communication system is used as a signal transmission medium to perform parallel and uplink and downlink data transmission and instruction issuing so as to realize networking between the base station and each node around the base station and interaction and communication between the base station and a water surface buoy or a ship.

The floating type offshore wind turbine based on the tuned mass damper comprises a floating type foundation and a wind generating set, the wind generating set comprises a stand column, and the tuned mass damper is arranged in the stand column; the floating foundation comprises a buoy and a mounting platform, a base plate is slidably connected into the buoy, one end of the base plate is connected with the buoy through a damper spring, and the other end of the base plate is connected with the mounting platform through a supporting column. A submersible pump is arranged on the surface, close to the buoy, of the mounting platform, communicates with seawater through a first pipeline and communicates with the buoy through a second pipeline. And the buoys are distributed in a circumferential array along the mounting platform. The wind-resistant strength is improved, the cost is low, resetting is fast, the resetting effect is good, and offshore wind energy resources can be better utilized; the tuned mass damper is installed, vibration is reduced through compression and reset of the damping spring, and safety is improved; an air speed sensor is arranged, offshore air speed and air volume can be monitored, and the controller can conveniently control whether seawater is extracted or not.

The invention provides a sea ice area extraction method and device based on remote sensing, which are applied to the field of seawater detection, and the method comprises the steps: obtaining a remote sensing image of a target area; pixels of the remote sensing image are partitioned based on the normalized vegetation index, the pixels with the normalized vegetation index smaller than a preset vegetation index threshold value are divided into first type regions, and the first type regions comprise at least one of a water body region and a sea ice region; determining a normalized deicing index of the first type region; performing normalized deicing index threshold segmentation on the first type region through a maximum between-class variance method to obtain a sea ice classification threshold; and filtering and post-processing the remote sensing image based on the sea ice classification threshold, and taking the first type region of which the normalized deicing index is greater than the sea ice classification threshold as a sea ice region. The method is suitable for sea ice monitoring in a large area, and sea ice information can be efficiently and accurately extracted.

The invention discloses a scouring pile foundation reinforcement method based on an MICP curing technology, which comprises the following steps: acquiring initial environment information such as scouring pit parameters, water flow parameters, tide period and seawater salinity of a delimited area around a pile, and determining grouting parameters such as a grouting window period and a safe flow velocity threshold value and a matching numerical value of a bacterial liquid concentration, a urea concentration and a calcium ion concentration; a grouting assembly composed of a first grouting pipe and a second grouting pipe which are spliced up and down is arranged, and grouting holes are formed in the side wall of the second grouting pipe which is pre-buried in a soil layer; after MICP slurry is prepared according to blending parameters, the slurry is injected into a soil layer in combination with grouting parameters, and meanwhile, the grouting process is dynamically adjusted by monitoring the resistivity of a soil body in real time; and after grouting is completed, the assembly is dismantled, and supplementary grouting is conducted on the local area according to the detection result. According to the method, the accuracy and reliability of pile foundation reinforcement are achieved through environmental parameter adaptation, grout dynamic regulation and control and layered detection and reinjection.

The invention belongs to the technical field of crossing of environmental engineering and ocean dynamics, and particularly relates to a tidal dynamics prediction method and control device for a seawater desulfurization system, and the method comprises the steps: constructing a time-space coupling prediction model fusing multi-source hydrological observation data, and introducing a nonlinear dynamic weight distribution mechanism; the influence of terrain constraint, wind stress disturbance and upstream runoff on tidal propagation is quantified in real time, and a rolling prediction sequence of tide level phase, flow velocity gradient and salinity disturbance in the next three hours is output; the prediction result drives the scheduling of a desulfurization pump set, the adjustment of spraying density and the matching of aeration intensity, and the model weight is corrected on line based on the actually measured feedback of desulfurization efficiency to form closed-loop control. By means of the technical scheme, accurate cooperation of the operation parameters of the desulfurization system and tidal dynamics is achieved, meaningless energy consumption is reduced while the desulfurization efficiency is guaranteed, and the utilization rate of the desulfurization agent and the stability of the system are improved.

The invention discloses a high-pressure soft water medium treatment and supply system, which belongs to the technical field of seawater desalination treatment, and comprises a multi-dimensional ion detection module for detecting the concentration distribution characteristics of target inhibition ions in original seawater to generate a corresponding coating material selection instruction; the electric field dynamic coupling module captures a termination signal according to the coating material selection instruction; the shock wave generation module starts a main pump to generate fluid shock waves to execute sediment breaking action according to the termination signal; the monitoring module is used for monitoring the finally output softened water ion concentration and reversely calculating the pollution index of the coating surface; and the heat cycle feedback device is used for starting a self-cleaning mode according to the pollution index and transmitting waste heat in the cleaning process to the pump set. The electric field dynamic coupling adsorption and fluid shock wave cooperative treatment technology is adopted, high-efficiency ion capture, dynamic sediment removal and waste heat recycling can be achieved, energy consumption is remarkably reduced, and continuous and stable operation of the system is guaranteed.

The invention relates to a marine fishery breeding work ship deep water taking device and method, the marine fishery breeding work ship deep water taking device comprises a water taking cantilever, a submersible pump, a guide roller, a rolling part and a lifting device, the water taking cantilever is connected with a ship body through a rotation pair, and the water taking cantilever can stably descend underwater and keep the accurate water taking depth; the water taking method comprises the steps that the position and angle of a water taking cantilever are adjusted through a winding and unwinding winch, a temperature sensor at the water taking cantilever end monitors the seawater temperature in real time, and when the temperature reaches a preset value, a submersible pump is started to extract deep seawater; compared with a traditional method, the device has the characteristics of compact structure, simple operation, high efficiency and reliability; the problems that underwater butt joint is difficult, a hose is prone to damage and the like are solved, and operation efficiency and safety are remarkably improved; through the connection of the flexible short pipe, the flexibility and the stability in the water taking process are ensured, and meanwhile, the labor intensity of operators is reduced; the technology can be widely applied to marine fishery breeding, especially extraction of deep cold water resources, and has remarkable energy-saving, environment-friendly and economic benefits.

The invention discloses a near-shore sea ice remote sensing extraction method based on FY-3 / MERSI satellite data, and the method comprises the following steps: S1, carrying out the preprocessing of an obtained MERSI image, and obtaining an MERSI image only containing sea ice and seawater; s2, establishing a coastal sea ice remote sensing recognition algorithm according to the difference of the spectral characteristics of sea ice and seawater in each channel of the MERSI image, and evaluating the precision and accuracy of the coastal sea ice remote sensing recognition algorithm; s3, according to a coastal sea ice remote sensing recognition algorithm, extracting coastal sea ice information from the MERSI image of each day; and carrying out 10-day averaging and monthly averaging on the daily sea ice data extracted in each month to generate a sea ice ten-day product and a monthly product. According to the invention, automatic identification of high-spatial-resolution sea ice information of a high-latitude offshore area in winter can be realized.

The invention provides a marine environment-oriented integrated monitoring and early warning method, medium and system, and belongs to the technical field of electrical digital data processing.The marine environment-oriented integrated monitoring and early warning method comprises the steps that firstly, remote sensing monitoring data such as seawater temperature, salinity, pollutant concentration and flow velocity are collected, and environmental stability and variation components are obtained through multi-element mixed decomposition; a diffusion kinetic model of N time scales is established based on the flow velocity data, and a diffusion matrix group is obtained through calculation. And carrying out cascade operation and time sequence weighted fusion on the environment change component and the diffusion matrix to obtain a comprehensive environment change trend matrix, and constructing a risk vector containing temperature, salinity and pollutant components according to the comprehensive environment change trend matrix. And finally, performing matching operation with an early warning threshold matrix set established by historical data to obtain an early warning index and outputting an early warning level. According to the method, mathematical and physical models are utilized to overcome the defects of strong empirical and subjectivity in a traditional method, and the technical problem that effective conversion from static remote sensing data to dynamic environment risk early warning is difficult to realize in the prior art is solved.

The invention discloses a centrifugal deep sea rare earth collecting mine car, a deep sea rare earth collecting system and a mining method.The centrifugal deep sea rare earth collecting mine car comprises a mining car body, the mining car body is provided with a centrifugal collecting mechanism, and the centrifugal collecting mechanism comprises a first annular flow channel and a first driving mechanism; and the first driving mechanism is connected with the first annular runner. According to the centrifugal deep-sea rare earth collecting mine car, the centrifugal collecting mechanism is adopted for collecting deep-sea rare earth, negative pressure is formed through the first annular flow channel, the deep-sea rare earth and seawater can be sucked upwards to be collected, deep-sea rare earth slurry can be efficiently collected, the collecting efficiency is improved, and the collecting mode is particularly suitable for collecting the deep-sea rare earth; the defect that a traditional mining vehicle cannot be used for deep-sea rare earth collection is overcome, and development of the deep-sea rare earth collection industry is facilitated.

The invention belongs to the crossing field of artificial intelligence and process control, particularly relates to an intelligent coupling control strategy for chlorine production through seawater electrolysis based on digital twinning, and aims to solve the problems of response lag, weak disturbance suppression and lack of electrode aging early warning in a traditional control method. According to the strategy, a high-fidelity digital twin fusing electrochemistry, fluid and thermodynamics is constructed, characteristics of current, temperature, impedance spectroscopy and the like are collected and fused at high frequency through a multi-source sensor, a state space model driven by a deep recurrent neural network is established, and current efficiency and electrode aging coupling evolution recognition is achieved; when salinization or flow mutation is detected, the twinborn body predicts and dynamically calibrates the current density and the voltage set value in advance, and the safety process window is synchronously scaled. According to the strategy, the chlorine gas yield fluctuation is reduced by 60%, the energy consumption standard deviation is reduced by 45%, the fault early warning is advanced by 2-5 hours, the fault-free operation time of the system is prolonged by 50%, and high-precision, self-adaptive and preventive intelligent control of the electrolysis process is realized.

The invention discloses a seawater exchange type breakwater protection performance evaluation system and a disaster early warning system, and particularly relates to the technical field of oceanographic engineering.The breakwater is divided into a plurality of monitoring areas, seawater exchange parameters of different time periods in all the areas are obtained, the seawater exchange parameters are classified and subjected to weight assignment, and a disaster early warning result is obtained; the method comprises the following steps: calculating the weighted average to obtain the overall protection performance coefficient of the breakwater, dividing the protection performance into normal protection and abnormal protection according to the calculation result, and evaluating the energy reduction effect of the breakwater by monitoring the energy change of incident and transmitted waves in real time according to the overall protection performance coefficient and the energy reduction change condition. Performing disaster risk prediction and early warning by using fuzzy logic; comprehensive evaluation and timely early warning of the protection performance of the breakwater are realized, so that the protection effect of the breakwater and the safety of the coastal environment are 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 sea ice classification and intensity inversion method based on deep learning, relates to the technical field of remote sensing image processing, and aims to solve the problems in the prior art, and the method comprises the steps: obtaining original dual-polarization synthetic aperture radar data, and carrying out the preprocessing of the original dual-polarization synthetic aperture radar data; performing superpixel segmentation on the preprocessed data to obtain a plurality of superpixels; calculating the posterior probability of the superpixel by using a conditional random field model, and determining an uncertain superpixel unit; taking the uncertain super-pixel unit as input, outputting sea ice and seawater boundary lines in the uncertain super-pixel unit based on an Ice-WaterNet network model, and combining to obtain a sea ice classification result graph; and performing sea ice concentration inversion on the sea ice classification result map to obtain a sea ice concentration inversion result. According to the method, the inversion precision of sea ice classification and density is improved, and the method can play a more important role in the aspects of global climate change monitoring, marine environment protection, polar region resource development and utilization and the like.

The invention relates to the technical field of comprehensive corrosion prevention and pollution prevention of ships, in particular to a marine high-power ultrasonic pipeline pollution prevention device and a control method thereof. The contact type ultrasonic transducer is mounted on the outer wall of the seawater pipeline and is matched with the high-power driving controller, so that high-power ultrasonic waves can be used for repelling, preventing and treating contaminated marine organisms, and attached marine organisms can be removed to a certain extent; the transducer is arranged on the outer wall of a ship seawater pipeline or a valve box in a contact type installation mode and is connected through a profiling base stud to be installed, so that the whole device is convenient to disassemble, assemble, arrange and maintain, and flowing of seawater in the pipeline is not affected; according to the ultrasonic pipeline anti-fouling device, wheel control logic is adopted, automatic adjustment and alternate intermittent operation are achieved by adding the switching circuit, the power consumption and heat production can be effectively controlled while the ship seawater pipeline anti-fouling effect is guaranteed, the reliability of the device is improved, the size of the device is reduced, and the application prospect is wide.