6074results about "Waterborne vessels" patented technology

The invention relates to the technical field of ships, in particular to a fault monitoring system and method for a ship power system, and the system comprises a multi-source data collection module which carries out the real-time collection of the operation parameters, environment parameters and equipment state parameters of the ship power system through a collection device. The fault early warning module is used for predicting the development trend of the fault after the fault diagnosis is completed; the early warning decision module generates early warning information of different levels according to the state evaluation result, the fault diagnosis result and the RUL prediction result, gives targeted operation and maintenance decision suggestions, and pushes the suggestions to a ship cockpit, a shore-based operation and maintenance center and an operation and maintenance personnel mobile terminal; 24-hour uninterrupted multi-parameter acquisition of the ship power system is realized through the multi-source sensor network, three types of parameters of operation, environment and state are covered, acquisition delay is reduced, and the problems of poor timeliness and incomplete parameter coverage of traditional manual inspection are solved.

The invention discloses a ship control auxiliary method based on machine learning, and relates to the technical field of ship intelligent control, and the method comprises the steps of ship data collection, fuel oil energy consumption prediction, dynamic navigational speed planning and energy-saving feedback control. According to the method, the fuel energy consumption is predicted by adopting a prediction method combining multi-mode and disturbance self-adaption, modeling multi-dimensional data is unified, perception of environmental disturbance is enhanced, accurate prediction of the fuel energy consumption under complex navigation conditions is realized, and the reliability of subsequent dynamic navigational speed planning is effectively improved; dynamic speed planning is carried out by adopting a speed planning method combining multiple targets and segmented constraints, three core factors of fuel energy consumption, navigation time and safety risks are comprehensively considered, a multi-target cost function is constructed, segmented constraints are introduced, the physical feasibility and risk control of speed adjustment are guaranteed, the speed is optimized through a reinforcement learning mechanism, and the speed planning efficiency is improved. Intelligent self-adaptive navigational speed adjustment is achieved, and the energy-saving capacity, the navigation efficiency and the operation safety of the ship under the complex navigation condition are improved.

A drifting buoy trajectory prediction method based on a hybrid neural network prediction model, includes: S1, obtaining marine environmental data and historical trajectory data of a drifting buoy; S2, performing preprocessing on the marine environmental data and the historical trajectory data to obtain input data configured to predict northward and an eastward velocities of the drifting buoy; S3, inputting the input data into the hybrid neural network prediction model to obtain predicted values of the northward and eastward velocities; S4, calculating latitude and longitude coordinates of a trajectory point of the drifting buoy based on the predicted values of the eastward and northward velocities; and S5, predicting, by repeating the step S1-S4, latitude and longitude coordinates of trajectory points of the drifting buoy at multiple time points to obtain a sequence of trajectory point coordinates to thereby achieve trajectory prediction of the drifting buoy over a target future period.

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 large-scale ocean data buoy safety monitoring system and method based on multi-source fusion, and relates to the technical field of buoy monitoring. Buoy equipment operation parameters, ocean environment data and surrounding ship dynamic information are synchronously acquired through a buoy body sensor group, an environment monitoring unit and a ship identification module; time-frequency domain feature extraction and anomaly detection are carried out on the collected data, and a collision risk dynamic evaluation model is constructed in combination with ship trajectory prediction; establishing an equipment health, environment interference and ship threat fusion evaluation system, and performing risk grade division in combination with real-time monitoring data and a historical database; and generating early warning information based on the risk level, and automatically triggering an equipment maintenance instruction and a ship collision avoidance alarm. The method adapts to ship variable-speed steering scenes, threshold values are dynamically adjusted, and adaptability and analysis accuracy of the system are improved.

The invention relates to the technical field of ship mooring bollards, and discloses a multifunctional ship mooring bollard which comprises a mounting plate, two mooring bollard bodies are arranged on the upper side of the mounting plate, a supporting block is fixedly arranged at one end of the mounting plate, and a processing assembly is arranged at the upper end of the supporting block; the treatment assembly comprises a cylinder, a movable ring is movably arranged in the cylinder, a plurality of ejector rods are slidably arranged on the inner wall of the movable ring in the radial direction, and a movable part is fixedly arranged at one end of each ejector rod; the surface of the cable can be brushed through rotation of the brush blocks, so that stubborn attachments such as oil stains and algae on the surface of the cable can be brushed and removed. And the second cleaning part and the first cleaning part rotate to clean the surface of the cable, and the second cleaning part is in an inclined state, so that attachments on the surface of the cable can be cleaned layer by layer, and the cable surface treatment effect is improved.

The invention discloses a semi-submersible wave energy-wind energy integrated power generation platform and a damping regulation and control method of a damping regulation and control system of the semi-submersible wave energy-wind energy integrated power generation platform. The platform comprises a semi-submersible wind driven generator platform, a wind driven generator set, a wave energy power generation device, an energy storage system, a sea area detection system and the damping regulation and control system. The wave energy power generation devices are divided into two groups on the inner side and the outer side of the platform, each wave energy power generation device comprises a platform inner side wave energy power generation device and a platform outer side wave energy power generation device, and each wave energy power generation device comprises a swing arm floater, a universal hinge, a connecting arm and a damping adjusting module. The semi-submersible wind power generation device and the wave power generation device are combined, and offshore renewable resources are comprehensively utilized; the six-buoy design is adopted, buoyancy is dispersed, stability and safety are improved, and meanwhile space is provided for a wave power generation device; the floaters are symmetrically arranged in a hexagonal shape and carry a damping regulation and control system, and the whole structure is more easily stabilized by adjusting the damping of the floaters in all directions.

The present invention relates to a wave energy power generation buoy with a variable length and angle damping plate and its control method, belonging to the technical field of wave energy power generation buoys. It includes a main floating body, an air turbine and a damping plate. The main floating body is a hollow rear-bent pipe structure. The air turbine is installed at the air outlet at the top of the rear end of the main floating body. The damping plate is installed at the rear end of the main floating body. The damping plate includes an L-shaped fixed plate, a horizontal telescopic plate, a vertical telescopic plate and an inclined movable plate. The L-shaped fixed plate is fixedly connected to the main floating body. The horizontal telescopic plate is horizontally slidably connected to the horizontal side plate of the L-shaped fixed plate. The vertical telescopic plate is vertically slidably connected to the vertical side plate of the L-shaped fixed plate. The upper and lower ends of the inclined movable plate are respectively movably connected to the vertical telescopic plate and the horizontal telescopic plate. The L-shaped fixed plate is provided with a first telescopic driving mechanism for driving the horizontal telescopic plate to move back and forth and a second telescopic driving mechanism for driving the vertical telescopic plate to move up and down. The present invention can improve the wave energy conversion efficiency.

The invention provides a water surface target grabbing system and a control method thereof, and relates to the technical field of marine operation equipment. The system comprises an unmanned ship and a cooperative mechanical arm, the unmanned ship and the cooperative mechanical arm share a processor; the unmanned ship supplies power to the cooperative mechanical arm; the unmanned ship is positioned through an inertial navigation system on the unmanned ship and a scene camera and a depth camera on the cooperative mechanical arm; a scene camera, a depth camera and an integrated sensor on the cooperative mechanical arm transmit data to a processor on the unmanned ship through a local area network, the processor calculates and analyzes the data transmitted by the scene camera and the depth camera, and an action instruction is sent to the cooperative mechanical arm through a CAN bus. According to the water surface target grabbing system, automatic grabbing is achieved, and the grabbing precision, stability and adaptability of the system in the dynamic marine environment are improved.

The invention relates to a buoyancy tank wharf real-time assembly quality control method, and belongs to the technical field of port engineering automatic construction. According to the method, aiming at the problems of large geometric positioning deviation, uneven contact surface stress and difficulty in real-time control of attitude instability in buoyancy tank assembly, laser range finders are mounted at four corners of a buoyancy tank through a geometric positioning layer to monitor horizontal deviation, and pressure sensors are arranged on a butt joint surface through a mechanical sensing layer to generate a pre-tightening force curve; the attitude monitoring layer adopts a bottom inclination angle sensor to detect inclination; according to the horizontal deviation, the curve similarity deviation and the inclination angle deviation, the real-time management and control platform triggers a hydraulic adjusting mechanism, a torque wrench and a balance weight drive to conduct adjustment; meanwhile, data are stored through a buoyancy tank number, a timestamp and a sensor type three-dimensional index, and a rechecking instruction is generated based on the difference between the current adjusting quantity and the first three mean values. According to the invention, real-time control and dynamic adjustment of the assembly process are realized, and the modular assembly precision and safety of the floating wharf are improved.

The invention relates to a ship repair platform and a using method thereof, and belongs to the technical field of ship repair platforms, the ship repair platform comprises a movable base, an operation mechanical arm, an image recognition system and an intelligent control system, the movable base is provided with a magnetic attraction crawler belt and a hydraulic cylinder, and a vacuum suction cup is installed at the driving end of the hydraulic cylinder; a safety rope ring and a bearing base are fixedly installed on the movable base, the bearing base is rotationally connected with a loading platform, the three operation mechanical arms are evenly installed on the top of the loading platform, the three operation mechanical arms are provided with a high-pressure water gun, a laser rust removal head and a paint spraying nozzle correspondingly, and a device support is fixedly installed on the movable base. The device support is provided with an electric holder. According to the method, the damaged area of the outer wall of the ship body can be automatically recognized, cleaning, dirt removal and paint make-up operation can be accurately executed, the manual intervention requirement is reduced, and the maintenance efficiency is improved.

The invention discloses a ship state monitoring system and method based on multi-source data, and relates to the technical field of ship engineering, the system comprises a bionic flexible sensing module, a multi-source data acquisition module, an anti-interference communication module, a multi-source data fusion module, an edge calculation processing module, an intelligent fault diagnosis module and a man-machine interaction and decision support module; wherein the bionic flexible sensing module acquires broadband vibration signals, the multi-source data acquisition module accesses multi-source data, the anti-interference communication module realizes data transmission based on a metamaterial antenna and the like, the multi-source data fusion module generates a standardized data set, and the edge calculation processing module completes feature extraction and abnormity pre-screening. The intelligent fault diagnosis module locates a fault and generates a report, and the man-machine interaction and decision support module visualizes data; the bottleneck of curved surface detection is broken through, data transmission is guaranteed, and accurate diagnosis is realized.

This invention relates to a modular sensing, communication, and analytics platform. The platform includes a modular device network having a communication module, a main module, and at least one modular device, where the communication module, the main module, and the at least one modular device use acoustic signals, visual signals, light signals, and / or radio frequency to establish a communication link between the communication module, the main module, and the at least one modular device.

A watercraft for retrieving an object on a body of water, comprising (i) a containment structure having an interior defining an internal cargo area of the watercraft, an open front side, and a partially or fully submerged lower containment element through which water can freely pass while obstructing the object from exiting the internal cargo area; and (ii) one or more floatation members coupled to an exterior of, or defining at least a portion of, the containment structure. A modular watercraft comprising first and second floatation members configured to be deployed on an exterior, and stowed in an interior, of the containment structure. A system comprising a watercraft having one or more rotating capture assemblies onboard, configured to actively pull or push the object into an internal cargo area through the open front side of the containment structure.

The invention provides a ship micro-grid energy management method based on hierarchical coordination of model predictive control and a chaos evolution optimization algorithm, and the method comprises the steps: constructing a hierarchical coordination control architecture which comprises an upper rolling optimization scheduling layer and a lower real-time stability control layer; the upper layer adopts a model prediction control framework, a chaos evolutionary optimization algorithm is built in to serve as a solver on the basis of load and new energy output prediction of a future time domain, and an optimal power reference instruction in the future short time domain is solved in a rolling manner by taking operation cost, energy storage aging cost and power grid stability penalty as a comprehensive target; and the lower layer executes power scheduling according to the reference instruction issued by the upper layer, absorbs and compensates high-frequency power fluctuation in real time by using a droop control quick response mechanism of the energy storage system, and maintains the stability of the power grid. According to the method, decoupling cooperation of global economic optimization and local dynamic stability of the ship microgrid can be realized, the fuel consumption is remarkably reduced, and the safety and reliability of the system under complex working conditions are improved.

The invention discloses a deep and far sea wind power foundation platform and load integrated system under extreme environment conditions, and belongs to the technical field of offshore wind power platforms. The system comprises a basic platform body, a multi-dimensional monitoring subsystem, an environment-load coupling analysis subsystem, an intelligent regulation and control execution subsystem, a safety early warning decision subsystem and a shore-based collaborative management subsystem. Through synchronous acquisition of extreme marine environment, basic platform structure load and operation state data, distributed multi-type sensor layout and high-frequency sampling, data acquisition comprehensiveness and timeliness are realized, monitoring data are fused, a coupling model is constructed, 24-hour load change is predicted, and the real-time performance of the system is improved. According to the method, the attitude of the platform is dynamically adjusted, bearing configuration is optimized, emergency protection is started, the limitation of traditional separation analysis and fixed regulation and control is broken through, and the risk disposal and operation and maintenance efficiency is improved through risk quantification and grading early warning, remote monitoring and intelligent scheduling of a shore-based collaborative management subsystem and four-level early warning accurate matching coping strategies.

The invention provides a water surface target automatic grabbing device and a control method thereof, and relates to the technical field of marine operation equipment. The device comprises a computing platform, a mechanical arm, a hook, a telescopic rod, a binocular camera, a depth camera, an inertial sensor and a self-stabilizing holder, the computing platform is fixedly mounted on the unmanned ship; the self-stabilizing holder is fixed on a deck of the unmanned ship; the mechanical arm is mounted above the self-stabilizing holder; the hook is mounted at a specified position on the unmanned ship; the telescopic rod is mounted at the tail end of the mechanical arm; the binocular camera and the depth camera are installed at preset positions of the tail end of the mechanical arm and connected with the computing platform through high-speed data transmission lines. The inertial sensor is installed in the mechanical arm and connected with the computing platform. According to the automatic grabbing device, the grabbing precision, stability and adaptability of the system in the dynamic marine environment are improved.

The invention relates to the technical field of equipment monitoring, in particular to an intelligent monitoring method and system for ship power equipment, and the method comprises the following steps: synchronously collecting the operation time sequence data of the equipment; based on the ship power transmission topological structure, generating a dynamic physical constraint model between devices; and inputting the collected equipment operation time sequence data into the dynamic physical constraint model, calculating a host-gear box torque transmission residual error and a gear box-shafting rotating speed matching residual error sequence, and when the zero-crossing rate sudden change frequency of any residual error sequence exceeds a preset sudden change frequency threshold value in a preset time window, triggering an early warning mechanism. Compared with the limitation that a traditional single-point vibration threshold method cannot cover a multi-node cooperative fault, the cross-equipment coupling fault recognition rate is increased, and the coverage range of the cross-equipment coupling fault is widened.

The invention relates to shipbuilding flatness inspection equipment and a use method thereof, and belongs to the technical field of shipbuilding flatness inspection. The shipbuilding flatness inspection equipment comprises a magnetic adsorption type mobile robot platform, a high-precision vision module, an edge computing unit and a cloud data management platform; the magnetic adsorption type mobile robot platform is provided with a crawler-type walking mechanism and a self-adaptive vacuum adsorption unit. According to the invention, efficient and high-precision whole ship flatness intelligent detection can be realized through multi-sensor fusion and a self-adaptive robot platform, the system is suitable for real-time quality monitoring in ship body section construction, deck assembly and fitting-out stages, local fine scanning can be executed along a welding seam area in a ship body section detection scene, and the detection accuracy is improved. A welding deformation out-of-tolerance area is synchronously marked, a non-key plane area can be switched to a global rapid scanning mode, and in the deck assembly stage, a cloud platform can integrate data in real time and assist in carrying out an assembly dislocation correction scheme.

The invention provides an intelligent driving control method and system for an unmanned ship with a body based on a world model, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting a real-time visual image, navigation state data and control motion data of the unmanned ship, carrying out the preprocessing and synchronous alignment of the data, and obtaining a real-time visual image; standardized vision, state and action input and a standardized data packet are obtained; the standardized vision, state and action input is mapped into latent representation, autoregression calculation is carried out by predicting a backbone network, and a multi-step latent state and latent action sequence is predicted; and finally obtaining a future state sequence and a future action sequence based on the predicted potential state and potential action sequence. According to the invention, interpretable autonomous intelligent driving is realized.

The invention discloses a tug configuration method based on AIS piloting data. The tug configuration method comprises the steps of obtaining original AIS data used for tug configuration; performing data analysis on the original AIS data to obtain an initial time sequence ship track; performing trajectory data cleaning processing on the initial time sequence ship trajectory to obtain a ship time sequence continuous trajectory; interpolating the acquired meteorological / ocean multi-source data and fusing the meteorological / ocean multi-source data with a ship time sequence continuous trajectory to obtain a ship trajectory fusion database; constructing a ship space-time matching and speed / course difference judgment mechanism to obtain a historical feature data set of ship-tug configuration according to the ship trajectory fusion database; constructing a tug configuration prediction model of AIS piloting data, and obtaining an optimal tug configuration prediction model based on historical feature data; and setting the optimal tug configuration prediction model in an existing port scheduling system to deploy an online service model for tug configuration so as to realize a tug configuration demand scheme based on AIS piloting data. The problem that the accuracy and the efficiency of tug configuration of AIS piloting data cannot be achieved due to the fact that AIS data is complex and uneven in quality and the temporal-spatial resolution, the coordinate system and the like of meteorological sea condition data are different from those of the AIS at present is solved.

The invention discloses an unmanned cleaning ship for salvaging garbage and a control method of the unmanned cleaning ship. The unmanned cleaning ship comprises a ship body, a garbage collecting device, a multi-mode sensing system, an intelligent control system and a water quality purifying device. The multi-mode sensing system senses the surrounding environment and transmits comprehensive environment information to the intelligent control system. The intelligent control system dynamically plans a navigation path according to the water surface garbage position, the obstacle data, the real-time ship body position, the historical cleaning efficiency and the energy storage state; according to the garbage type identification result, the distribution density and the storage cabin capacity state, the working state of the garbage collection device is adjusted in a self-adaptive mode; controlling the working state of the water purification device according to the water quality parameters, the flow velocity and the water temperature data. By integrating the multifunctional module and the intelligent control system, comprehensive perception, intelligent decision making and multifunctional treatment of the water area environment are achieved, the water area cleaning efficiency and quality are improved, and an innovative solution is provided for sustainable treatment of the water area environment.

The invention discloses a real-time monitoring method and system based on a ship running state, and relates to the technical field of ships, and the method comprises the following steps: obtaining ship navigation environment information and running state information of a ship, and combining the ship navigation environment information and the running state information of the ship to form a ship data set; wherein the ship navigation environment information comprises meteorological data, sea condition data and surrounding ship distribution information, and the operation state information comprises power system parameters and key navigation indexes; if the ship navigation environment information in the ship data set meets the condition, feature extraction and recognition are carried out on the ship navigation environment information, and the ship navigation risk level is determined by combining the ship navigation environment information with the running state information of the ship; the effect is that whether the working state of the ship power system needs to be adjusted can be judged.

The invention discloses a ship position correction method aiming at polar region high latitude factors, and relates to the technical field of ship navigation, the specific steps of the preparation method are as follows: S100, multi-source data acquisition: satellite navigation, inertial navigation, radar and AIS data are respectively acquired by means of a satellite navigation receiver, an inertial navigation system, a radar and AIS equipment; according to the invention, through a multi-source data acquisition and fusion technology, the positioning precision and safety of the ship in the polar high-latitude region are significantly improved, and the traditional ship navigation system is often influenced by extreme weather, complex terrain, ice conditions and other factors in the polar environment, resulting in inaccurate positioning and even safety accidents. By integrating various data sources of satellite navigation, inertial navigation, radar, AIS and marine environment monitoring satellites and utilizing a data fusion algorithm, noise and abnormal values are effectively filtered out, and real-time monitoring of the position, the speed, the course and the surrounding environment of the ship is achieved.

The invention discloses a ship steering engine fault early-warning method based on sparse Bayesian, and the method comprises the steps: collecting the data, such as a rudder angle instruction, an actual rudder angle, steering engine response, motor current, oil pressure, ship speed, ship posture, sea condition grade, in a navigation process, and constructing a time window monitoring sample set through time alignment and normalization; steering engine response features are extracted and spliced with the working condition features to form working condition feature vectors, steering engine state labels are marked in combination with maintenance records to form a training sample set, and an adaptive sparse Bayesian early warning model with working condition related sparse priori is trained; and generating a current working condition feature vector in real-time navigation, inputting the current working condition feature vector into the model to obtain a steering engine fault risk value, and selecting a self-adaptive early warning threshold value according to a sea condition grade to output a fault early warning result. According to the invention, the false alarm rate is reduced and the early fault identification capability is improved under complex sea conditions.

The invention provides an ocean net cage unmanned ship intelligent inspection method based on a buoy network and TDoA positioning, and the method comprises the steps: constructing an intelligent buoy network in an ocean net cage culture area, and obtaining a refined grid map; performing global path planning by adopting an improved A * algorithm to generate a global reference path; the unmanned ship transmits a UWB signal to the navigation buoy, the current position of the unmanned ship is solved based on a TDoA principle and an LM algorithm, and a TDoA positioning result is obtained; the self-adaptive UKF is used for fusing the state information of the unmanned ship and the TDoA positioning result, and high-precision position estimation of the unmanned ship is obtained; and finally, the unmanned ship executes an autonomous inspection task according to the global reference path, and precise path tracking and calibration are realized by utilizing PID (Proportion Integration Differentiation) control. According to the invention, autonomous, safe and efficient inspection of the unmanned ship in a net cage dense area can be realized, the intelligent level of breeding management is improved, and the system is especially suitable for application scenes with high positioning precision requirements.

The present invention relates to the field of offshore wind power generation, and specifically to an offshore wind power generation device, which includes a floating platform and a wind power generation component arranged at the upper end of the floating platform. A plurality of traction components for pulling the floating platform are arranged below the floating platform, and the traction component includes an L-shaped frame fixed to the lower end of the floating platform, a traction rope is slidably connected to the L-shaped frame, and one end of the traction rope is fixed to the seabed; a circular plate is arranged below the floating platform, and a lifting component for lifting the circular plate and a guide component for guiding the circular plate during the lifting process are arranged on the floating platform; an annular plate is provided on the outer surface of the traction rope, and a cleaning component for cleaning shellfish attached to the surface of the traction rope is provided at the lower end of the annular plate. During the power generation operation, the offshore wind power generation device of the present invention automatically scrapes and cleans the shellfish on the surface of the traction rope through the cleaning component, so as to prevent the shellfish on the surface of the traction rope from affecting the stable power generation operation of the offshore wind power generation device.

A fluid storage and supply device comprising a cryogenic reservoir for storing liquefied fluid, a withdrawing circuit comprising a first withdrawing pipe having a first upstream end connected to the upper part of the reservoir and a second downstream end intended to be connected to a user member, the first withdrawing pipe comprising a first heating heat exchanger situated outside the reservoir and a second heating heat exchanger situated inside the reservoir, the withdrawing circuit comprising a set of valve(s) configured to ensure the passage of a flow of fluid circulating from the first end towards the second end by passing through the first heat exchanger and then through the second heat exchanger or by passing solely through the first heat exchanger without passing through the second heat exchanger, characterized in that the device further comprises a system for pressurizing the reservoir comprising a pressurizing pipe separate from the withdrawing circuit and comprising two ends respectively connected to the upper and lower parts of the reservoir, a vaporizing heat exchanger and a set of valve(s) configured to allow the withdrawal of liquid from the reservoir, the heating thereof in the vaporizing heat exchanger and the reintroduction thereof into the reservoir.

The invention discloses a sailing type automatic sampling, preprocessing and sample reserving system. The system depends on a first three-way valve, a second three-way valve, a sampling pump, a third three-way valve, a fourth three-way valve, a filtering module, a fifth three-way valve, a sixth three-way valve and a sampling cup which are sequentially communicated and connected through a flow path; the first three-way valve is in flow path connection with the water sample cup and the waste liquid cup; the second three-way valve is additionally communicated with a sampling bottle; the third three-way valve is additionally communicated with a sample reserving bottle; switching channels and / or opening channels of the three-way valves are / is controlled by the control center, and meanwhile, a sample reserving channel, a sampling and preprocessing channel and a sampling channel are realized; and implementing a first backwash flow path and a second backwash flow path. According to the technical scheme, through unified control of the central control system, the functions of automatic sampling, automatic sample reserving, filtering treatment, filtrate collection, linkage detection of an analyzer, automatic waste discharge of filtrate and water samples not exceeding the standard and the like of seawater are achieved, and reliable technical support is provided for marine ecological civilization construction and disaster early warning.