1170 results about "Shore" patented technology

The invention relates to the technical field of data processing, and discloses a multi-source heterogeneous marine data intelligent fusion and marine disaster prediction method and platform, and the method comprises the steps: carrying out the hierarchical deployment and network topology construction of marine environment monitoring equipment, communication relay equipment and data processing equipment, and obtaining a sea-air-shore integrated monitoring network; collecting marine environment data with a space-time identifier; carrying out ocean element modeling and dynamic feature extraction to obtain an ocean environment digital model; performing feature fusion and correlation analysis on the multi-source heterogeneous ocean data to obtain spatio-temporal feature data; and training and multi-model integration are carried out on the typhoon path prediction model, the storm surge prediction model and the red tide prediction model by adopting a transfer learning method to obtain a marine disaster prediction model set, so that the prediction precision and timeliness are improved, the allocation and scheduling of computing resources are optimized, and the real-time requirement of mass data processing is met.

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 seawall overtopping amount and overtopping risk calculation method considering a mangrove forest wave dissipation effect, and relates to the technical field of coast engineering. The method comprises the following steps: acquiring typhoon path data, inputting the typhoon path data into a Holland typhoon empirical model, and accurately generating a typhoon wind field; calculating coastal site tide level data in combination with a coastal storm surge numerical model; obtaining wave data during a typhoon by using a storm surge typhoon wave forecasting model based on the SWAN; historical typhoon data and relevant information of the seawall and the mangrove forest are collected, a water level-wave-vegetation-seawall coupling model is constructed, the wave dissipation effect of the mangrove forest is accurately simulated, and wave characteristic calculation is optimized; constructing a database, training the database through a CNN neural network model, and improving the prediction precision of seawall front wave height and wave force parameters; the wave overtopping amount is calculated based on the prediction parameters, a scientific basis is provided for wave overtopping risk assessment, it is ensured that real-time assessment of the wave overtopping risk is more accurate and efficient, and the disaster prevention and reduction capacity is effectively improved.

The invention relates to the technical field of coast engineering, in particular to a beach change evolution inversion method combining numerical simulation and actually measured data, which comprises the following steps: S1, acquiring an actually measured shoreline data set of a current period; s2, establishing a wave-tidal current-sediment coupling numerical model; s3, outputting a simulated shoreline data set; s4, performing spatial matching on the actually measured shoreline data set and the simulated shoreline data set to generate a spatial discrete residual field; s5, taking the spatial discrete residual field as a constraint condition, and reversely solving an optimal hydrodynamic parameter combination; and S6, inputting the optimal hydrodynamic parameter combination into the wave-tide-sediment coupling numerical model, and outputting the beach evolution form in the future period. According to the method, dynamic coupling of the hydrodynamic parameters and the beach evolution process is realized by constructing an inversion optimization mechanism based on actual measurement data driving, and the accuracy of shoreline change simulation and the reliability of prediction are greatly improved.

The invention discloses a near-shore wind wave prediction method and system based on data driving, and the method comprises the steps: obtaining multi-source data of long-time series data of each meteorological data variable of a research region, carrying out the preprocessing, selecting a target variable and a feature variable, and carrying out the region grid point division of the research region; taking the characteristic variables of the open sea lattice points as a reference sequence, taking the target variables of the inner sea or near-shore lattice points as a target sequence, and analyzing a time delay effect and a spatial propagation mode between the reference sequence and the target sequence; introducing the analysis result as priori knowledge into a deep learning model, and training the deep learning model to obtain a typhoon prediction model; and acquiring real-time data of each meteorological data variable in the research area, preprocessing the real-time data, and inputting the characteristic variable in the real-time data into the typhoon prediction model to obtain a prediction result of the target variable. According to the method, the time lag effect and the spatial relation of all variables of the open sea on the offshore area information are comprehensively considered, fusion and integration of multi-source data are achieved, and efficient and accurate real-time prediction is carried out.

The invention discloses an unmanned ship positioning method and a berth selection method based on a high-precision semantic map, and the method comprises the steps: carrying out the semantic segmentation of a three-dimensional point cloud of a berth area scene, and extracting angular points and plane points based on the curvature; constructing a local sub-graph according to the historical key frame point cloud, and constructing a semantic weighting-based line-plane matching residual error between the current frame point cloud and the local sub-graph based on the angular points and plane points of the current frame point cloud; constructing a shore surface matching residual error based on fitting prediction between the fitting shore surface of the current frame and the fitting shore surface of the subgraph; and forming a semantic laser odometer factor by the semantic weighting-based line-surface matching residual error and the fitting prediction-based shore surface matching residual error, further constructing an overall factor graph, and optimizing to obtain the optimal global pose of the unmanned ship. According to the method, the structured features are subjected to weighted matching through semantic information and constraint constructed by utilizing a fitting prediction shore surface are jointly added into speedometer optimization, so that real-time high-precision positioning of the unmanned ship can be realized.

The invention provides a sea wave height detection method, medium and system based on semantic segmentation, and belongs to the technical field of sea wave height detection.The sea wave height detection method comprises the steps that a near-shore camera obtains multiple pieces of sea wave image data, and a training data set is formed after preprocessing; a GS-SegFormer semantic segmentation model is utilized, and the model adopts an improved self-attention mechanism, a Ghost module and a SimAM attention mechanism to segment a sea wave image to be detected to obtain a pixel level boundary of sea waves. Gaussian filtering smoothing processing is carried out on the segmented image, noise is reduced, pixel information is converted into an actual distance according to camera parameters, and finally the actual height of each sea wave pixel is calculated. According to the method, sea wave features are identified through a deep learning model, and the actual height is calculated by combining camera parameters. The invention solves the technical problem that the precision of subsequent height calculation is influenced because the real contour of the sea wave cannot be accurately segmented by the existing sea wave height detection method.

The invention discloses a land-sea-air-space holographic sensing and collaborative decision-making system based on multi-mode edge intelligence. The system comprises a sensing layer which is used for carrying out three-dimensional monitoring on a ship driving process, the sea, the sky, a shore base and a space formed by the ship driving process, the sea, the sky, the shore base and the sea, the sky and the shore base; the network layer is used for constructing a global communication basis, preprocessing monitoring data, judging whether the ship has an abnormal condition or not, and realizing data transmission of the ocean, the sky, a shore base and a space formed by the ocean, the sky and the shore base; and the application layer is used for judging whether an abnormal condition exists in the ship driving process or not based on the data of the ocean, the sky, the shore base and the space formed by the ocean, the sky and the shore base transmitted by the network layer, performing collision early warning decision based on the abnormal condition, and performing dynamic channel capacity prediction. And navigation guidance and route tracking in extreme weather are carried out based on environmental risk early warning, underwater obstacle collision is avoided, and early warning information and decision information are fed back to a sensing layer.

The invention discloses a data center design and construction method for connecting a subsea tunnel and a subsea pipe gallery, and belongs to the technical field of subsea data center construction. The subsea tunnel and the subsea pipe gallery are connected through a special connecting structure, and meanwhile, a design method and a construction method for connecting the subsea tunnel and the subsea pipe gallery for connecting the coast and the seabed are provided; according to the data center built by the method, coast and seabed personnel and materials can be transferred through connection of the subsea tunnel and the subsea pipe gallery, and the problem that connection and transfer of the subsea data center and shore-based resources are difficult is solved.

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 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 relates to the technical field of environment monitoring, and discloses a radio-based environment monitoring method and system, and the method comprises the steps: deploying an ocean buoy integrated with a plurality of parameter sensors, and detecting the water temperature, salinity, dissolved oxygen, pH value and illumination intensity in real time; transmitting the data detected in real time to a shore-based receiving station by using a radio communication module; performing drift correction and noise filtering on data transmission detected in real time; performing data fusion analysis according to the mutual relation among different data, and generating a marine environment assessment report; and abnormal early warning information is generated according to the marine environment assessment report and is fed back to a monitoring center in real time through radio. According to the invention, through integration of various parameter sensors, comprehensive monitoring of multiple parameters of the marine environment is realized, and the accuracy and reliability of monitoring are improved.

A method for simultaneous localization and mapping underwater. A robot is equipped with an IMU inertial unit and a sonar unit. When the robot submerges underwater, a buoy connected to the robot floats on the water surface, and the buoy moves in coordination with the movement of the robot. The position and observed velocity of the buoy are obtained by a shore-based lidar. During motion estimation in a SLAM algorithm, when an angular velocity is below a preset angular velocity threshold, the observed velocity of the buoy is decomposed into x-axis velocity and y-axis velocity, and updated as the two-dimensional operating velocity of the robot. The polar coordinates of an obstacle in a map under the coordinate system of the robot are associated with the polar coordinates of sonar data of a current frame by using the Mahalanobis distance. The polar coordinates of a new obstacle are converted to the world coordinate system and added to the map. The present invention has the advantages of not relying on underwater visibility, not requiring pre-installed devices, and possessing good generalization and stability.

Disclosed in the present invention is a harbor basin dredging construction method. The method comprises: construction preparation, wherein an antifouling curtain is arranged on the periphery of a construction water area, and a total station is used to survey the construction area; harbor basin dredging, wherein a grab dredger is used for layered excavation, and a hopper barge is used to convey mud to a mud unloading site for discharging; foundation trench and ocean-side inter-pile soil excavation, wherein a pipe head of a suction dredger extends to the ocean-side part of an inter-pile area, and pumps mud and sand to form an ocean-side dredging section; inter-pile soil excavation, wherein a long reach excavator barge is used for inter-pile soil excavation and dredging; shore-side inter-pile soil excavation, wherein a long reach excavator is used for excavation to form a shore-side dredging section; and harbor basin spot dredging, wherein an all-terrain survey is carried out to determine shallow spots and a spot dredging route, and spot dredging is carried out in the harbor basin according to the shallow spots and the spot dredging route so as to ensure dredging depth. The construction method provided in the present invention solves the problem of loss or reduction of dredging results that can be caused by the continuous movement and sedimentation of silt in excavation trenches as well as consequent siltation, thus ensuring dredging effectiveness and saving dredging construction time.

The invention discloses an inland river ship navigation man-machine cooperative control system and method for inland river shore-based driving control. Comprising a data acquisition module used for acquiring position information, navigation state information and environment data information of a ship, and a man-machine cooperation module used for determining a control mode of the ship intelligent navigation control system based on shore-based driving and control according to the information acquired by the data acquisition module. The control modes comprise an automatic control mode, a semi-automatic control mode and a manual control mode; when the information acquired by the data acquisition module has factors having potential safety risks on ship navigation, the control mode is switched to a semi-automatic mode, and when the information acquired by the data acquisition module has factors having direct safety risks on ship navigation, the control mode is switched to a manual mode; according to the invention, an intelligent and high-efficiency solution is provided for inland river shipping, and new possibility is brought to ship operation and management.

The invention belongs to the technical field of automatic sailing of unmanned ships, and particularly relates to an automatic sailing temperature-salinity-depth profile observation system and method for mesoscale eddy prediction, the system is arranged on an unmanned ship and connected with an automatic retractable winch, and the system comprises a temperature-salinity-depth probe device arranged at the tail end of an A frame of the automatic retractable winch and used for retracting through the automatic retractable winch; lifting is realized, so that temperature, salinity and depth parameters of seawater with different profiles are measured, and key ocean data are provided for mesoscale eddy prediction; the data is transmitted to a mother ship / shore base end through a remote intelligent navigation control system; and the remote intelligent navigation control system is used for receiving various data and sending the data to the mother ship / shore base end, and controlling the driving process or task process of the automatic winding and unwinding winch, the temperature-salinity-depth probe device and the unmanned ship according to the instruction of the mother ship / shore base end. According to the invention, the laying and recovery of the temperature-salinity-depth profile measuring equipment can be controlled when the ship is sailing, and the laying and recovery of the sailing type temperature-salinity-depth profile measuring equipment can be carried out on the unmanned ship after upgrading and reconstruction.

The invention relates to the technical field of submarine cable fault positioning, in particular to a submarine cable fault positioning system based on underwater beacons. The method comprises the steps that an underwater acoustic beacon array unit monitors and collects submarine cable fault sound wave signals in real time based on underwater acoustic beacons; the fault signal processing analysis unit extracts submarine cable fault sound wave signal parameters based on a non-point source space sound source waveform analysis model, and generates multi-parameter fault sound source feature vectors; the sound source positioning analysis algorithm unit performs three-dimensional inversion positioning based on the multi-parameter fault sound source feature vector and the arrival time difference of the submarine cable fault sound wave signal to the underwater acoustic beacon, and obtains the spatial position information of the submarine cable fault point; and the data communication alarm management unit sends the spatial position information of the submarine cable fault point to a shore-based operation and maintenance system. The submarine cable fault positioning method is used for realizing a submarine cable fault positioning technology for quickly and accurately positioning and identifying spatial extension characteristics in a complex submarine environment.

The invention relates to the technical field of deep and far sea small island health monitoring, and discloses a deep and far sea small island health monitoring system and method. A non-intrusive data acquisition system composed of a sensor network, a shore-based camera device and a vibration sensor is adopted, and total-factor real-time monitoring of open sea environment parameters, reef images and the vibration state of a protective building is achieved. Through joint operation of a wave field distribution model and a structural damage prediction model, actually measured data and numerical simulation are combined, and the temporal-spatial resolution of wave parameters of the reef and the evaluation precision of the health state of a protective building are improved; the early warning threshold value is dynamically adjusted through deviation analysis of real-time association of historical disaster data and the current monitoring value, and the timeliness and accuracy of early warning of extreme events are improved; finally, through an automatic triggering mechanism of a multi-stage early warning signal, all-weather and high-reliability safety monitoring guarantee is provided for deep and far sea islands, meanwhile, the manual maintenance cost is reduced, and a remarkable technical synergistic effect is achieved.

The invention relates to a ship berthing position detection method and system based on shore end laser radars, and the method comprises the steps: deploying a plurality of laser radars at a shore end, and collecting original point clouds in parallel through an asynchronous thread model; constructing a rigid transformation matrix based on the radar installation attitude parameters, and further generating fusion point cloud data under a unified world coordinate system; then extracting 3D geometric edge points in a preset range of the front edge of the wharf as near-shore point cloud data, and further calculating the minimum ship-shore distance; based on the ship bow direction and a preset segmentation threshold value, the coastal point cloud data are segmented into ship bow area point cloud and ship stern area point cloud in the x-axis direction, the coordinate mean value of the ship bow area point cloud and the ship stern area point cloud is calculated and compared with an expected position in a wharf operation system, and berthing accuracy is judged; and the drift distance is calculated in real time, the drift distance, the attitude angle and the change rate of the attitude angle are compared with corresponding preset threshold values respectively for graded early warning and drift alarm, and high-precision ship berthing position dynamic detection is achieved.

The invention discloses a ship response system based on AI large model data fusion, and belongs to the technical field of ships, and the system comprises a dual-mode positioning module which is used for carrying out the centimeter-level positioning of a ship in a target sea area according to a GNSS system and an INS system, and obtaining the centimeter-level positioning ship position data; the data synchronization module is used for acquiring and synchronizing ship multi-source data according to the centimeter-level positioned ship position data to obtain ship situation data; and the edge-cloud collaboration module is used for monitoring the ship in real time according to the ship situation data and an edge-shore-based collaboration mechanism and dynamically adjusting the navigational speed and the fuel supply plan to stop the ship according to the sea condition. The problems that in the prior art, comprehensive and accurate comprehensive information is difficult to form, hidden dangers cannot be found in time, and accidents cannot be prevented in advance are solved.

The invention discloses a floating wind power platform self-energized carbon capture and deep sea sealing integrated system, which comprises a floating platform foundation, which comprises a plurality of buoy parts, and the buoy parts are integrated through connecting parts; the double-path carbon capture subsystem comprises an air carbon capture module and a seawater carbon capture module; the air carbon capture module introduces air into the adsorption module through negative pressure, and selectively adsorbs CO2 in the air; the seawater carbon capturing module is used for separating out CO2 from seawater in an electrochemical separation mode; the carbon sequestration subsystem is used for compressing, liquefying and sequestration the CO2 conveyed by the double-path carbon capture subsystem; and the wind power function subsystem comprises a wind power generation tower and power distribution equipment for supplying power to each subsystem. The platform is reasonable in configuration and high in function integration degree, has the advantages of wind energy driving, autonomous operation, continuous carbon capture, on-site storage and the like, is particularly suitable for deep and far sea areas without seabed pipe networks and far away from shore-based power grids, and can be used for application scenes such as wind power plant carbon compensation and ocean carbon removal.

The invention discloses a data center design and construction method for connecting a steel cylinder and a submarine pipe gallery, and belongs to the technical field of submarine data center construction. The steel cylinder and the submarine pipe gallery are connected through a special connecting structure, and meanwhile, a design method and a construction method for connecting the steel cylinder connected with the sea surface and the submarine pipe gallery are provided; the data center built by the method can transfer personnel and materials on the sea surface and the seabed through connection of the steel cylinder and the seabed pipe gallery, and the problem that connection and transfer of the seabed data center and shore-based resources are difficult is solved.

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 relates to a sandy coast back shore ecological restoration multi-objective optimization method based on an NSGA-II algorithm, and the method comprises the following steps: S1, selecting a damaged sandy coast, carrying out the background investigation, and calculating a wave climbing value; s2, determining a vegetation arrangement range of the damaged sandy coast; s3, beach shoulder sand supplement of beach shoulder width is conducted on different areas of the damaged sandy coast, and sand dune sand supplement of an artificial sand dune is conducted; s4, calculating the wind erosion prevention efficiency and the wave erosion prevention efficiency of the dominant vegetation; s5, constructing a sandy coast back shore ecological restoration multi-objective optimization function and constraint conditions; s6, solving the multi-objective optimization function based on an NSGA-II algorithm to obtain an optimal vegetation configuration scheme set; s7, based on actual conditions, selecting an optimal vegetation configuration scheme for planting; and S8, detecting vegetation data after planting, and starting a reseeding program when the survival rate of vegetation is lower than a threshold value. Compared with the prior art, the method has the advantages that the fitness of the multi-power environment is improved, and then the windproof and wave-resistant effects are optimized.

The invention belongs to the technical field of ship management, and provides a combined intelligent ship water diversion system integrating differential positioning, a laser radar and a camera. In the shore end RTK-inertial navigation depth fusion positioning module, extended Kalman filtering fusion is carried out on data acquired by shipborne equipment, so that continuity of accurate positioning is realized; the construction of a color high-precision map is realized through a laser radar-monocular vision color high-precision modeling module, details such as wharf fender materials and signboard characters can be better distinguished, and the problem of shoreline modeling defects is solved; visualization of obstacles is achieved through the multi-scene dynamic obstacle detection and fusion module, meanwhile, through cooperation of multi-source data, the precision and stability of ship positioning are greatly improved, higher precision and reliability are achieved, and the precision of a guide instruction is improved; through cooperation of the 5G private network and the visualization module, the data transmission efficiency is improved, the timeliness is improved, and transmission delay can be avoided.

The invention belongs to the technical field of marine environment prediction, and discloses a near-shore sea wave forecasting method and system based on deep learning. The method comprises the following steps: constructing a near-shore adjacent wave forecasting model NWNN training data set based on deep learning based on open source environment data; a near-shore adjacent wave forecasting model NWNN is constructed; using PyTorch to train a near-shore adjacent wave forecasting model NWNN (Neighbor Wave Nearest Neighbor); and performing accuracy verification on a forecast result by using a buoy measured value which is not trained by the near-shore adjacent wave forecast model NWNN. According to the method, more accurate and reliable data support can be provided for prediction of marine weather events, so that marine economy and life and property safety of the masses can be guaranteed, and the trend and influence of climate change can be known.

The invention provides a maritime communication optimization method and system based on artificial intelligence. Wherein the maritime communication parameters are comprehensively analyzed and processed to obtain a communication quality report; according to the communication quality report, combining with a ship navigation plan, performing optimization selection processing on available frequency bands by applying an intelligent spectrum allocation algorithm, further improving the scientificity and rationality of frequency band allocation through a spectrum use efficiency analysis technology, and generating an optimized communication resource allocation scheme; based on the optimized communication resource configuration scheme, after a safe and stable bidirectional data channel is established, an efficient and reliable communication path is obtained; and integrating the efficient and reliable communication path with the real-time ship position information and a shore-based support system, planning an optimal communication path by using an intelligent routing algorithm, and generating a comprehensively optimized maritime communication solution. According to the technical scheme provided by the invention, the flexibility, the security and the response speed of the communication system are improved.

The invention provides a large-span folding arc-shaped tide-blocking floating body gate structure and a using method, the large-span folding arc-shaped tide-blocking floating body gate structure is in a double-door form, and the large-span folding arc-shaped tide-blocking floating body gate structure comprises two gate libraries, the gate units are divided into an upper layer and a lower layer and can be folded in the gate chamber, each gate unit comprises an upper-layer tide-blocking floating body gate, a lower-layer tide-blocking floating body gate and an arc-shaped foundation, and the radius of the upper-layer tide-blocking floating body gate is larger than that of the lower-layer tide-blocking floating body gate; one end of the upper-layer tide-blocking floating body gate and one end of the lower-layer tide-blocking floating body gate are both hinged into a stress abutment on the shore side and are concentrically arranged in an ectopic mode, the arc-shaped foundation extends from the gate reservoir to the center of a river channel, and the upper-layer tide-blocking floating body gate and the lower-layer tide-blocking floating body gate rotate, move and unfold from the edge of the gate reservoir to the center of the river channel around hinge points of the upper-layer tide-blocking floating body gate and the lower-layer tide-blocking floating body gate. During tide blocking operation, the arc-shaped foundation, the upper-layer tide blocking floating body gate, the lower-layer tide blocking floating body gate and the stress abutment on the shore side are combined to achieve the tide blocking function.

The invention discloses a semi-physical simulation platform for testing the safety of an unmanned surface vehicle, and relates to the field of simulation testing, and the platform comprises a shore-based monitoring system, a hardware simulation system, a dynamics simulation system, an unmanned surface vehicle scene editing system and an unmanned surface vehicle scene simulation system. And the dynamics simulation system is connected with the hardware simulation system. The unmanned ship scene simulation system is connected with the unmanned ship scene editing system, the dynamics simulation system and the hardware simulation system. Wherein the unmanned ship generates a control instruction based on control data and a task instruction input by the shore-based monitoring system; the hardware simulation system simulates the environment temperature and the marine environment stress of the safety test of the unmanned ship so as to obtain the pose data of the unmanned ship; the unmanned ship scene simulation system calls a scene configuration file based on the pose data to generate a simulation test virtual scene; and the unmanned ship adjusts the control instruction based on the simulation sensor data. According to the invention, the authenticity and credibility of the real installation test of the unmanned ship can be improved.

The invention relates to the technical field of ship automatic control and intelligent traffic systems, solves the technical problem that trust evaluation is invalid or inaccurate due to the fact that a traditional trust evaluation method does not fully consider changes of a dynamic environment and a system state, and particularly relates to a shore-based driving and control inland river ship intelligent navigation man-machine interaction trust evaluation method. The objective of the invention is to improve the interaction safety and system stability between a ship and a shore-based control center through a dynamic trust calculation and risk assessment mechanism. The method specifically comprises four parts: trust index system construction, data acquisition and preprocessing, dynamic trust calculation and risk assessment and response. According to the method, the man-machine interaction trust in the intelligent navigation of the inland ship is dynamically evaluated and managed through a zero trust framework, so that the safety and stability of the ship in the navigation process are improved, and particularly, the trust degree of interaction between a shore base and the ship is evaluated in a complex and dynamic navigation environment; therefore, the safety and reliability of the system are ensured.