43 results about "Maritime navigation" patented technology

The invention relates to the technical field of maritime navigation and intelligent shipping, in particular to an electronic chart shipping relation network construction and dynamic updating method and system based on a chart database, and the method comprises the steps: obtaining electronic chart static data and shipping dynamic information, and carrying out standardized preprocessing to unify a space reference and an attribute format; defining node types and edge relation types of channel space elements based on the graph database, and constructing a shipping relation network; shipping dynamic information is accessed in real time, and the weight and the attribute of the side relation are dynamically updated to reflect the real-time state of the navigation channel; and receiving a user path planning query request, executing a path planning algorithm fused with the navigation constraint condition based on the updated network, and generating and outputting an optimal route, thereby effectively solving the problems of weak data association, difficult cross-scale fusion and poor dynamic adaptability of a traditional electronic chart, realizing intelligent management and accurate path planning of a channel relationship, and improving the user experience. And the shipping efficiency and safety are improved.

The invention belongs to the technical field of marine environment monitoring, and particularly relates to an air-sea cooperation-based enteromorpha identification and density estimation method and system, and the method comprises the steps: carrying out the aerial survey of a target sea area through an unmanned plane, collecting a sequence image, processing the sequence image based on a deep learning model, and generating an enteromorpha distribution probability graph and a density estimation graph; carrying out marine navigation and fixed-point sampling through an acoustic sensor carried by an unmanned ship to obtain actually measured density data of enteromorpha; the unmanned aerial vehicle sends the generated enteromorpha distribution probability graph and / or density estimation graph to the unmanned ship, the unmanned ship receives the enteromorpha distribution probability graph and / or density estimation graph, plans a navigation path and sampling points according to the enteromorpha distribution probability graph and / or density estimation graph, and goes to a high-probability or high-uncertainty area for fixed-point sampling; and the unmanned aerial vehicle receives actually measured density data returned by the unmanned ship and fuses the actually measured density data with own identification and estimation results so as to update and optimize the deep learning model and form an air-sea collaborative monitoring closed loop.

The invention discloses an automatic ship collision avoidance decision-making system, and relates to the technical field of ships, and the technical scheme is characterized in that the method comprises the steps: collecting environment data of a target ship in a navigation region and target ship dynamic data of the target ship in a navigation process; dividing the navigation area into navigation area blocks according to the risk level and the environmental data, and performing feature extraction on the dynamic data of the target ship to obtain dynamic feature parameters; analyzing and determining the normal variation range of the influence coefficients of the navigation region blocks with different risk levels to obtain a reference interval value; according to the reference interval value, performing statistics on influence coefficients between the current target ship and the surrounding environment and between the current target ship and other ships in the sailing process to obtain a statistical result, and comparing the statistical result with the reference interval value to obtain a collision avoidance risk early warning or continuous analysis instruction; the method has the effects of reducing the occurrence rate of collision accidents and improving the safety and orderliness of marine navigation.

The invention provides an intelligent monitoring and early warning system based on a marine navigation mark, and relates to the technical field of monitoring and early warning, and the system comprises a navigation mark data collection module which is used for obtaining various data according to a preset navigation mark monitoring interval. And the risk assessment module is used for obtaining a position offset risk value according to the influence of the interference factor data on the navigation mark position. And the deviation early warning module is used for setting a position deviation threshold value according to the historical pose data in combination with the external factor data, judging whether the position deviation risk value of each navigation mark exceeds the position deviation threshold value or not, and generating a preliminary early warning signal if the position deviation risk value of each navigation mark exceeds the position deviation threshold value. And the ship influence early warning module is used for calculating a ship navigation influence coefficient according to the navigation data of the surrounding ship sending the preliminary early warning signal navigation mark in combination with the real-time position parameter, and generating early warning information in combination with the position offset risk value. The navigation mark monitoring precision is improved, the early warning timeliness is enhanced, the operation and maintenance cost is reduced, and the method can automatically adapt to different environments and scenes.

The invention provides an offshore area navigation safety control and optimization method, which comprises the following steps of: 1, acquiring multi-source observation data of an offshore navigation target, and preprocessing the multi-source observation data to obtain a space-time observation association diagram; 2, evaluating the dynamic credibility of each observation node by using a multi-modal consistency graph neural network; constructing an adaptive weighted factor graph model according to the obtained dynamic credibility, and solving a system state to obtain an optimal fusion track, a corrected environmental parameter and a posterior error covariance matrix; 3, constructing a regional risk field based on the optimal fusion track, the corrected environmental parameters and a posterior error covariance matrix; 4, on the basis of the regional risk field, a multi-target collaborative optimization model is constructed and solved, and navigation control parameters are obtained; and 5, executing the navigation control parameters, and performing adjustment and optimization by adopting multi-level closed-loop feedback to complete the navigation safety control and optimization of the offshore area.

The invention provides a route planning system capable of improving the operation efficiency of a power generation floating body. A route planning system plans the route of a power generation floating body that generates power while sailing on the sea. This course planning system is provided with a planning means for planning, as a course, a course in which a power generation floating body circulates between a meeting point between a transport ship for recovering power generation energy from the power generation floating body and the power generation floating body and a turning point different from the meeting point. The planning means changes, on the basis of at least one of the weather prediction accuracy and the sea image prediction accuracy, the number of turns in which the power generation floating body travels around the course until the power generation floating body meets the transport ship.

The invention provides an intelligent ship operation mode switching method and device, electronic equipment and a storage medium, and the method comprises the steps: switching a driving mode to a manual driving mode under the condition that a ship is detected to be in a berthing and unberthing stage; in the berthing and leaving process of the ship, first environment information around the ship is obtained in real time, and under the condition that the first environment information meets the first mode switching condition, the driving mode is switched to the auxiliary driving mode from the manual driving mode; under the condition that the ship is detected to be in the port entering and leaving stage, the driving mode is switched to a remote driving mode; and under the condition that the ship is detected to be in the marine sailing stage, the driving mode is switched to the autonomous sailing mode. Dynamic mode switching of the ship can be carried out according to different navigation environments and conditions, limitation of a traditional single operation mode is avoided, and adaptability and safety of the intelligent ship are improved.

The embodiment of the invention provides a marine diesel engine interactive intelligent agent device based on cooperation of large and small models and a temporary first-aid repair method, and aims to solve the problems of rapid diagnosis, emergency decision and first-aid repair guidance when a marine diesel engine breaks down suddenly. The device comprises a large language model serving as a core and responsible for task decomposition, decision generation and information integration; the professional small model carries out optimization analysis on tasks such as fault positioning, emergency decision making, spare part replacement and time prediction; the interactive agent core module supports voice and text input and provides real-time feedback; the multi-modal data real-time fusion module integrates various data sources and dynamically allocates weights; and the knowledge graph and inference engine module provides accurate first-aid repair guidance. The large language model is innovatively taken as a core to be deeply cooperated with a plurality of professional small models, so that the rapid diagnosis, emergency decision and temporary repair guidance of sudden faults of the marine diesel engine in the marine navigation process are realized, and the blank of the intelligent temporary repair technology of the marine diesel engine is filled.

The present application provides a kind of offshore area navigation safety control and optimization method, comprising: step 1, the multi-source observation data of offshore navigation target is collected, and pre-processing is carried out, to obtain the space-time observation correlation graph;Step 2, the dynamic credibility of each observation node is evaluated using multi-modal consistency graph neural network;According to the obtained dynamic credibility, an adaptive weighted factor graph model is constructed, and the system state is solved to obtain the optimal fusion track, the corrected environmental parameter and the posterior error covariance matrix;Step 3, based on the optimal fusion track, the corrected environmental parameter and the posterior error covariance matrix, a regional risk field is constructed;Step 4, based on the regional risk field, a multi-objective collaborative optimization model is constructed and solved to obtain the navigation control parameter;Step 5, execute navigation control parameter, and adopt multilevel closed loop feedback to optimize, complete offshore area navigation safety control and optimization.

The application discloses a neural network prediction method for optimal working angle of a marine ship photovoltaic panel. The method considers the influence of sea wave fluctuation and solar position change on the ship photovoltaic power generation system, collects the operation data of the ship photovoltaic panel under different conditions, and establishes a neural network model to learn the output power curve of the ship photovoltaic panel on the basis, and then the trained ship photovoltaic panel power fluctuation neural network model is used to predict the output power of the photovoltaic panel under the current condition. According to the prediction result, the characteristics of the ship photovoltaic panel power fluctuation curve are analyzed to determine the optimal inclination angle of the current ship photovoltaic panel. The application can quickly obtain the optimal inclination angle of the photovoltaic panel to track the sun during the ship sailing process, effectively suppress the power fluctuation of the photovoltaic panel during the ship sailing at sea, reduce the power loss, and improve the output power.

1. The name of the design product: flexible impeller pump. 2. The use of the design product: for conveying medium containing solid particles and / or gas or high viscosity liquid, such as conveying acid, alkali, salt, oil, alcohol and other medium in chemical industry, conveying food or nutrient fluid or semi-fluid, or cooling engine for small yacht sailing on sea, etc. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view 1.

This invention provides a method, apparatus, computer equipment, and storage medium for identifying mesoscale eddies, belonging to the field of eddy recognition technology. The method includes: acquiring SLA data; dividing the SLA data into multiple initial SLA splines based on multiple SLA extreme points; filtering the multiple initial SLA splines according to preset screening conditions to obtain multiple first quasi-eddy SLA splines; selecting those belonging to the mesoscale eddy from the multiple first quasi-eddy SLA splines to obtain multiple second quasi-eddy SLA splines; determining the eddy boundary and eddy center of the mesoscale eddy based on the multiple second quasi-eddy SLA splines; and determining basic attribute features based on the eddy boundary and eddy center of the mesoscale eddy. This invention only processes SLA data, enabling rapid and efficient mesoscale eddy identification, providing timely and efficient service support for marine field observation and maritime navigation.

This invention belongs to the field of intelligent perception and simulation training technology for maritime navigation. It discloses a method and system for realistic training and evaluation of ship collision avoidance rules at sea. By constructing a hierarchical question bank, it generates scenario assembly lists and uniformly schedules ship motion simulation, 3D visual scenes, radar / AIS fusion display, and voice communication interaction. During training, it collects control inputs, motion states, target information, and communication records to form a traceable chain of evidence, and aligns sampling based on evaluation anchor points. An automatic scoring model is established based on result and process indicators, outputting an evaluation report with sub-scores, evidence location, a list of violations, and retraining suggestions. It is suitable for teaching, retraining, and assessment, improving the efficiency and achievement rate of collision avoidance decision-making training.

The application belongs to the technical field of offshore platforms, and particularly relates to a method for installing a depth finder and a log transducer of a flat-bottom self-propelled self-elevating platform, which comprises the following steps: S1, installing a support on the bottom surface in front of a bow side thruster cabin of the platform; S2, loading the depth finder or the log transducer into a cylinder; S3, inputting parameter data of the bow side thruster cabin into a neural network model for self-learning, and then determining the vertical installation depth of the cylinder according to the parameters output by the neural network model; and S4, determining the vertical installation depth data. The method for installing the depth finder and the log transducer of the flat-bottom self-propelled self-elevating platform can prevent the transducer from being affected by bubbles during navigation and enable the transducer to work normally by installing the transducer in front of the bow side thruster cabin of the platform. The neural network model is arranged to associate the draft of the bow side thruster cabin, wave data and the installation depth of the log transducer, so that the method can be applied to the installation of transducers on all offshore navigation platforms.

The invention relates to a multi-mode cooperative intelligent seaborne test ship, which comprises a ship, an unmanned system is arranged in the ship, the unmanned system comprises a navigation attitude control center, a data acquisition center, a path planning center and a communication center, and the unmanned system is used for realizing autonomous navigation of the ship. By the adoption of the technical scheme, the unmanned system carried in the ship integrates four core modules including the navigation attitude control center, the data acquisition center, the path planning center and the communication center, so that autonomous decision making and control of the ship in the whole voyage from port leaving to port entering are achieved in a cooperative mode; and complicated marine navigation tasks can be completed without continuous manual intervention.

A method and system for detecting and avoiding an obstacle of an autonomous unmanned maritime vehicle (UMV) traveling in an initial direction are described. The method and system include receiving a video image from at least one image sensor, the video image containing an object that has been identified as an obstacle, determining if the object can be associated with an object class from the plurality of predetermined object classes, accessing a mean height value for the object class if it determined that the object can be associated with an object class from the plurality of predetermined object classes, determining a distance between the UMV and the object based on a height of the object as displayed in the video image and the mean height for the object class, and automatically adjusting the navigational control of the autonomous UMV to travel in an adjusted direction.

A route planning system is a route planning system for planning a route for a power-generating floating body that generates electricity while sailing on the sea. The route planning system comprises a planner configured to plan a route for the power-generating floating body circulating between a meeting point, at which a transport ship collecting energy from the power-generating floating body, meets the power-generating floating body and a turning point different from the meeting point as the route. The planner changes number of laps the power generation floating body circulates the route before meeting with the transport ship on the basis of at least one of weather forecasts accuracy and sea condition forecasts accuracy.

The application provides a marine navigation network generation method based on vector-grid model fusion, and relates to the technical field of waterway autonomous route design.The steps of the method include obtaining original AIS track data of different ship types during marine navigation;for each ship type, identifying a berthing track section, extracting a voyage track, and performing abnormal track identification and high-quality route extraction to obtain a representative route; a quadtree spatial grid model is constructed, the representative route is segmented and topologically reconstructed at multiple precisions based on in-out grid anchor points to obtain a target route segment, a vector navigation network is constructed through spatial and heading clustering, a grid navigation network is constructed, a route point matching strategy is introduced, a topological association between the vector and grid routes is established, and a vector-grid navigation network is generated; route arc segments of different ship types are extracted, a matching model is constructed for arc segment matching, and route fusion and incremental reconstruction are performed on the vector-grid navigation network to generate a multi-ship-type fusion marine navigation network.

The invention relates to the technical field of marine navigation control and safety monitoring, and discloses a navigation signal lamp remote control method, device and system, and the method comprises the following steps: collecting ship dynamic and environment information from a plurality of sensors, encrypting the information, and outputting the information; receiving encrypted information to construct a space-time constraint matrix, and integrating a ship motion prediction item, a position and signal intensity item and a flow field compensation item; and performing hybrid prediction on the future trajectory of the ship according to the space-time constraint matrix, and generating a hybrid prediction result in combination with correction of the data driving model and the physical model. According to the method, a hybrid prediction technical scheme of fusing data driving and a physical model is adopted, the technical effect of improving the prediction accuracy and reliability of the future trajectory of the ship in the changeable marine environment is achieved, and the defects of low prediction precision and poor adaptability in the complex or unseen marine environment are overcome.

According to the flower basket type sea wave power generation gravity type net cage, supporting and buoyancy are provided through the floating frame, the upper ends of the vertical steel ropes are connected to the generator assembly, the lower ends of the vertical steel ropes are connected to the bottom of the netting, the steel ropes are driven to shake through sea wave impact, and wave and ocean current impact can be effectively unloaded; meanwhile, wave energy is converted into electric energy to be stored and utilized through the generator assembly. When the attachment of the netting is increased too much, the generator serves as a motor to lift the netting by 5-6 m, operation such as net drying and net washing can be carried out, the attachment can be removed, the problem that the net cage in the deep sea is difficult to replace is solved, and the netting cleaning efficiency is greatly improved. The rotary cross corridor can horizontally rotate around the center of the floating frame, so that the net cage is convenient to maintain, and meanwhile, convenient conditions are provided for driving fishes during fishing; the central workbench is divided into a plurality of layers, can be used as spaces for living, working, sea fishing travel, storage and the like, and can also be used as a marine navigation mark.

Disclosed is a self-leveling 360-degree monitoring video black box device for ships, which comprises a 2-axis mechanical gimbal as a mechanical leveling device for a ship navigating at sea. The video black box device for ships comprises: a 2-axis mechanical gimbal (mechanical leveling device) which compensates for the motion of the pitch and roll axes of a ship in order to maintain a level state against rolling and pitching of the ship navigating at sea; and a video black box housing with an IP67 rating or higher, which is provided on the top of the 2-axis mechanical gimbal and includes therein a GPS, a control unit (MCU), and one or more cameras, wherein the video black box device collects video from one to four cameras of the ship navigating at sea, video from a camera in a cabin, and GPS location information of the ship, and transmits same via a maritime wireless communication network to a remote monitoring server system (NVR server) at an onshore control center for storage. The mechanical leveling device uses a circular 2-axis mechanical gimbal which compensates for the motion of the ship along the pitch and roll axes of the ship in two axes, thereby maintaining a level state against the rolling and pitching of the ship navigating at sea.

This application discloses a method, apparatus, equipment, and medium for intelligently dividing meteorological risk level intervals, relating to the field of maritime navigation safety. The method includes: determining a meteorological risk factor index system based on meteorological regulations and maritime accident reports, using principles of ship dynamics and marine meteorology, combined with manual review and expert evaluation; classifying and quantifying the scores of each accident case; dividing meteorological intervals based on the risk thresholds corresponding to each meteorological risk factor and a multi-round iterative solicitation mechanism; clustering the meteorological intervals using a clustering algorithm, and calculating the average accident level of the meteorological cluster interval based on the quantified scores of the accident cases within that interval; optimizing the meteorological cluster intervals using a genetic algorithm based on the average accident level; and generating meteorological risk level intervals based on the optimized meteorological cluster intervals. This application improves the accuracy of intelligent division of meteorological risk level intervals.

The invention relates to the technical field of ship navigation monitoring and marine visual perception, and particularly discloses a ship navigation scene time sequence consistent video enhancement method and system, and the method comprises the steps: S1, obtaining a marine navigation monitoring video sequence, carrying out the frame extraction and scale unified processing of the marine navigation monitoring video sequence, and obtaining a unified scale video; s2, determining the position of a sea-sky-line; s3, generating a sky mask and a sea surface mask; s4, determining an effective sky mask and an effective sea surface mask; s5, inputting each frame of image into an enhancement model to generate an enhancement frame; step S6, calculating sea-sky contrast and sea-sky line contrast constraint of the enhanced frame; s7, calculating a time sequence consistency constraint; and S8, based on the sea-sky-line comparison constraint and the time sequence consistency constraint, fusing and splicing the plurality of enhanced frames, and outputting an enhanced video sequence. The navigation video interpretability can be improved, and the time sequence stability can be ensured.

The utility model relates to the technical field of sailing boats, in particular to a rudder blade fusing protection mechanism which comprises a rudder blade assembly, the rudder blade assembly comprises rudder blades, a rudder shaft sleeve, a rudder rotating rod and a rudder plate, the rudder rotating rod rotates in the rudder shaft sleeve and drives the rudder blade at the lower end to rotate, the rudder shaft sleeve is connected to the rudder plate, the upper end of the rudder rotating rod is a transmission input end, and the lower end of the rudder rotating rod is a transmission output end. The upper end of the rudder shaft sleeve is connected to a ship body in a hinged mode so that the rudder shaft sleeve can swing in a reciprocating mode, a limiting safety piece is arranged on the outer side of the rudder plate, and the limiting safety piece is used for limiting the rudder plate and preventing the rudder plate from swinging outwards. And after the danger is relieved, the function can be quickly recovered, and the sailing is continued. The marine navigation risk is reduced, the diving and maintenance work of sailors is reduced, the maintenance and use cost is reduced, and the safe navigation efficiency is improved.

The utility model discloses an anti-typhoon stabilization device which comprises a movable cabin located at the bottom of a ship body, the movable cabin is provided with an inner cavity, a sea valve capable of enabling water to enter the inner cavity is installed at the bottom of the movable cabin, a plurality of different positions on the top of the movable cabin are connected with the ship body through retracting and releasing mechanisms, and a controller connected with the retracting and releasing mechanisms and the sea valve is further arranged. And the controller is used for controlling the working states of each retracting and releasing mechanism and each kingston valve. By the adoption of the structure, the ship is simple in structure, convenient to operate, capable of effectively reducing manufacturing and maintaining cost, suitable for various ships and capable of effectively reducing the shaking degree of the ships by lowering the gravity center of the ships, so that the ships can face to face and resist typhoons, the overturning risk of the ships is reduced, and the ship is protected. Overall safety and stability of the ship are improved, sailing safety is ensured, comfort of personnel on the ship can be improved, health and working efficiency of the personnel are guaranteed, and more reliable guarantee is provided for marine sailing and operation.

The application discloses a kind of based on venne diagram UAV target sea navigation path deduction method, for the island and reconnaissance station and each space constraint region involved in UAV target sea navigation construction space constraint region set, on this basis, construct venne diagram model, sea space region is expressed with venne diagram unit and its adjacency relationship, so as to divide UAV evasion and normal navigation space;Then based on distance constraint condition screening UAV target possible unit, and then the recursion search of unit path that UAV target possible unit passes;Finally output the unit path set that satisfies space constraint condition.Compared with traditional path planning method, the application can deduce multiple navigation paths that satisfy time constraint condition, more comprehensive, better meet the actual demand of task;It can be based on venne diagram on demand division according to sea space, effectively improve the exploration efficiency of navigation path, greatly save the cost of calculation, flexible adaptation multi-granularity space constraint.

1. The name of the design product: water area position light. 2. The use of the design product: used for positioning, warning and signal communication in water rescue and sea navigation operation. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. Other circumstances that need to be explained: the lampshade of the product (refer to the bullet-shaped part on the left side of the front view) adopts transparent material.