55 results about "Ship management" patented technology

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 discloses an irregular ship scheduling method and system considering uncertain harbor time, and a medium, and belongs to the technical field of shipping management. The method comprises the following steps: collecting ship, cargo, port and interference event data; generating an initial scheduling scheme by adopting a greedy strategy; generating multiple groups of random interference scenes based on Monte Carlo simulation; a two-stage stochastic programming model is constructed, in the first stage, income maximization serves as a target, and an initial plan is generated through damage and repair operator iterative optimization by means of a self-adaptive large neighborhood search algorithm; in the second stage, aiming at each interference scene, a recovery network is constructed for the influenced goods, and an optimal recovery strategy and adjustment cost are solved by utilizing a shortest path algorithm; and finally, outputting a scheduling scheme including a ship path, a navigational speed and a multi-scene recovery strategy through iterative optimization. According to the method, the earnings and the operation efficiency of the shipping companies are improved, the adjustment cost caused by uncertainty is reduced to the greatest extent, the benefits of the shipping companies and cargo owners can be balanced in a complex scheduling problem, and the service quality is improved.

The invention discloses a marine assembled box shipping management method based on an Internet of Things platform, and belongs to the technical field of logistics management. The method comprises the steps of obtaining a cargo list, extracting cargo attributes, analyzing chemical attributes and physical characteristics, and generating a conflict risk assessment report; constructing a time limit prediction model based on the multi-link time data, and optimizing the loading priority; a loading scheme is optimized through a space distribution and dynamic adjustment algorithm, so that the compatibility and the transportation timeliness of goods are ensured; and the shipping state is monitored in real time, emergency adjustment is triggered according to the delay risk, and execution of a transportation plan is ensured. The loading efficiency can be effectively improved, the transportation safety is guaranteed, the transportation risk and delay probability are reduced, and the logistics management level is comprehensively improved. The method is suitable for the fields of intelligent logistics, shipping assembly box transportation and the like, and efficient and accurate decision support is provided for shipping management.

The invention provides a ship management system design assisting method based on a knowledge graph, which comprises the following steps of: processing scattered design documents and design criteria of enterprises by utilizing a natural language processing technology, extracting knowledge triple information in the design documents and design criteria, and on the basis of the constructed knowledge graph, further utilizing a retrieval enhancement generation (RAG) technology to generate a knowledge triple; according to the method, subjective query of design information of a graph database is achieved, analysis and proofreading of design information graph-text and document data corresponding to design drawings and models are achieved, and finally design requirement query and automatic check of the design drawings and models in the design process of aided designers are achieved. Integration and sharing of design knowledge are completed, and the design knowledge utilization rate is increased.

The invention relates to the technical field of maritime monitoring electronic fences, in particular to a maritime electronic fence internet monitoring method and system, and the method comprises the steps: receiving a structured operation intention statement; obtaining associated historical behavior records; according to the historical behavior record, evaluating the trust level of the ship management party; inquiring whether an effective structured operation intention statement related to the current ship in time and space exists or not; if yes, according to the trust level of the current ship, judging that the judgment result of the deviation behavior belongs to an in-plan deviation or illegal behavior; if not, the property of the deviation behavior is judged according to the electronic fence basic rule set. The method has the advantages of obviously reducing the workload of manual verification and improving the monitoring accuracy and efficiency by intelligently distinguishing in-plan deviation and real violation.

The invention discloses an internet-based ship port entering and leaving scheduling system and method, and relates to the technical field of ship management, and the system comprises an initial ship scheduling unit; and the optimal ship scheduling unit is used for constructing a multi-target reward tensor in combination with a multi-target scheduling constraint condition, processing the multi-target reward tensor by using a sequence based on Monte Carlo tree search, constructing a strategy to generate an initial scheduling set, obtaining a candidate scheduling set through a denoising path optimization mechanism dynamically guided by a target condition, and performing ship scheduling. Selecting an optimal ship scheduling sequence; the multi-ship collaborative network unit is used for constructing a multi-dimensional space-time cascade atlas to identify implicit resource conflicts among ships, and generating a collaborative track by using a multi-ship collaborative track generation algorithm to form a multi-ship collaborative network; and a dispatching instruction generating and pushing unit. According to the invention, balance and accuracy of ship scheduling among multiple targets are ensured, scheduling errors and delay are reduced, and scheduling efficiency and decision quality are improved.

The invention provides a ship berthing and leaving early warning method and system, and relates to the field of port ship management, and the method comprises the steps: obtaining ship position data, converting the ship position data into distribution density, extracting time sequence features, building a motion prediction relation, calculating a congestion risk coefficient, constructing water area risk distribution, and carrying out the route crossing calculation to obtain an avoidance demand value. And determining an avoidance sequence, calculating an avoidance route and a navigation time window, and generating time-sharing avoidance early warning information containing an early warning level and an avoidance instruction. The ship congestion risk can be predicted in advance, the navigation time is reasonably planned, and the navigation safety and efficiency of the port water area are effectively improved.

The application discloses a ship cargo matching system based on an intelligent optimization algorithm, which comprises an order management module, a ship management module, a port management module, a route management module, a freight rate management module and a ship draft management module; the input of the order management module comprises basic information of three types of orders, i.e., a marine oil cargo plate, a large customer cargo plate and sporadic cargo sources; the input of the ship management module comprises static information and dynamic information of a ship; the input of the port management module comprises three-level wharf information; the input of the route management module comprises a sailing distance matrix and a sailing time matrix; the input of the freight rate management module comprises freight rate data between different loading and unloading ports; and the input of the ship draft management module comprises a maximum cargo carrying capacity data table of different ship types under different draft depths. The application has strong dynamic adaptability.

The invention discloses an intelligent production management system for a dry bulk cargo wharf based on digital twinning. The system comprises ten functional modules, namely a ship management module, a business document module, a production scheduling module, a warehouse yard tallying module, a gate wagon balance module, a business charging module, a query statistics module, a system management module, an intelligent application module and a digital twinning application module. Real-time data of wharf equipment, goods, vehicles and the like are collected through the Internet of Things technology, and intelligent production plan arrangement, equipment collaborative scheduling and operation process optimization are achieved in combination with big data analysis and an artificial intelligence algorithm; a digital twin technology is introduced to construct a wharf digital mirror image, the whole process of cargo loading and unloading, storage and transfer is simulated, visual monitoring, intelligent simulation prediction and emergency dynamic response in the production process are achieved, the problems of information isolated island, low resource scheduling efficiency and high operation cost of an existing dry bulk cargo wharf are solved, and the wharf operation efficiency and the intelligent management level are remarkably improved.

The application relates to the field of gas pipeline network operation, and discloses an intelligent monitoring system and method for dynamic residual capacity of a gas pipeline network, which comprises the following steps: an industrial computer is connected with a SCADA system intermediate database interface, a production information system interface and a GMS system interface through communication optical cables; a real-time QPT metering module, a hydraulic simulation module, a risk assessment module, a scene generation module, a historical production database module, a user shipping management module and a residual capacity monitoring module are arranged in the industrial computer; the production information system interface is connected with the historical production database module, the SCADA system intermediate database interface is connected with the real-time QPT metering module, and the GMS system interface is connected with the user shipping management module; the historical production database module, the real-time QPT metering module and the user shipping management module transmit the received information to the scene generation module, the hydraulic simulation module, the risk assessment module and the residual capacity monitoring module in sequence after processing, and the dynamic residual capacity is calculated in real time.

1. The name of the design product: order information and delivery management graphical user interface for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram 1. 5. Other faces of the electronic device are conventional designs, and other views are omitted. 6. The use of the graphical user interface: this interface is used to display order information and delivery, and the interface shown in the main view is the initial interface. In the interface shown in the main view, click "to be shipped" to enter interface change state diagram 1; in interface change state diagram 1, click "shipping processing" to enter interface change state diagram 2; in interface change state diagram 2, click "shipping processing" to enter interface change state diagram 3; in interface change state diagram 3, click "please select" on the right side of any "estimated delivery date" to enter interface change state diagram 4; in interface change state diagram 4, click "cancel", then click "please select" on the right side of any "express name" to enter interface change state diagram 5; in interface change state diagram 5, click "cancel" to enter interface change state diagram 6, and in interface change state diagram 6, click "submit" to enter interface change state diagram 7.

The invention relates to the field of ship management and control, in particular to a ship point cloud multi-scale self-supervision identification method and equipment. According to the pre-trained ship depth detection model, feature extraction is carried out through the image multi-scale feature extraction module and the point cloud multi-scale feature extraction module, and the image multi-scale feature extraction module is pre-trained based on an existing database; and the comparison learning module carries out multi-scale comparison identification on the point cloud multi-scale features of the ship target sample and the pre-training image multi-scale features so as to realize accurate self-supervision detection of the to-be-identified ship. Therefore, the defect that a ship point cloud detection method based on deep learning tends to be over-fitted easily due to the fact that a current ship target point cloud database is small in data volume and a model is difficult to fully learn feature representation of the target from a small amount of training data is effectively overcome, and the target detection accuracy is improved.

The application relates to the technical field of offshore monitoring electronic fences, in particular to an offshore electronic fence internet monitoring method and system, which comprises the following steps: receiving a structured operation intention declaration; obtaining an associated historical behavior record; evaluating the trust level of a ship management party according to the historical behavior record; inquiring whether there is an effective structured operation intention declaration related to the current ship in space-time; if yes, judging whether the judgment result of the deviating behavior belongs to planned deviation or a rule violation according to the trust level of the current ship; if not, judging the nature of the deviating behavior according to an electronic fence basic rule set. The method has the advantages that planned deviation and real rule violation can be intelligently distinguished, the workload of manual verification is significantly reduced, and the monitoring accuracy and efficiency are improved.

The application discloses a ship-shore information synchronization method in a Web-based ship management platform, which comprises the following steps: starting synchronization according to a timing synchronization time and a synchronization data range, initiating a synchronization request by a ship-side server, acquiring an upgrade information package by the ship-side server and installing the upgrade information package, judging whether the ship-side server identification is consistent with the MAC address of the ship-side server, stopping synchronization and performing synchronization in a manual mode if the ship-side server identification is not consistent with the MAC address of the ship-side server, otherwise, acquiring a shore base database file package by the ship-side server, judging whether the data package in the ship-side server is consistent with the shore base database file package, updating the data package in the ship-side server according to the shore base database file package if the data package in the ship-side server is not consistent with the shore base database file package, acquiring the data package of the ship-side server in the synchronization data range and regarding the data package as a to-be-updated data package, transmitting the to-be-updated data package to a shore base server, and updating the shore base server according to the to-be-updated data package. The method improves the data consistency and the data reliability between the shore base server and the multiple ship-side servers.

The invention discloses a liner shipping period recovery method and system considering container recovery and carbon emission reduction, and a medium, and belongs to the field of shipping management. Firstly, various kinds of basic data of liner operation are obtained; then, an optimization model with the purpose of minimizing the total cost is constructed, and the model comprehensively considers the fuel cost, capital operation cost, carbon emission tax cost, container delay cost and cost for canceling the affiliation of a port; an improved genetic algorithm fusing reinforcement learning and a simulated annealing mechanism is designed to solve the model, the algorithm can dynamically and adaptively adjust the crossover rate and the mutation rate, and a disturbance strategy is introduced to avoid falling into local optimum; and finally, outputting a liner shipping period recovery scheme with the lowest cost. According to the method, economic benefits and environmental benefits of the liner company are fully considered, the interference recovery cost is reduced, carbon emission is reduced, and the competitiveness of the liner company is enhanced.

The invention discloses a ship safety management method and system based on a visual identification technology, and relates to the technical field of ship management, the system is in communication connection with a perception interaction layer, an intelligent decision-making layer and an execution supervision layer in sequence, and the perception interaction layer deploys a high-definition camera in a ship key area; human face and environment data are collected in real time and are in butt joint with a sailor database; the intelligent decision-making layer calculates a feature hash value by using a convolutional neural network and a hash algorithm based on the management request to determine a security level; the execution supervision layer executes a corresponding supervision strategy according to the security level, and the system also comprises a data management layer which is responsible for storing sailor information, the number of ship approved passengers and historical supervision data, and carrying out data interaction with the AIS ship trajectory system and the electronic chart system; according to the method, through data acquisition, request receiving, hash value calculation, safety level determination and strategy execution, accurate dynamic supervision of ship safety is realized, and the efficiency and accuracy of ship safety supervision are effectively improved.

A method for assisting the management of a vessel comprising at least one tank configured to contain liquefied gas and a vapor phase treatment system capable of sending boil-off gas exiting the tank to a propulsion engine of the vessel or to a gas combustion unit on board the vessel and capable of extracting a portion of the liquid phase contained in the tank and of evaporating this portion in order to send it to the propulsion engine. The method comprises: generating at least one tank management scenario defining an evolution of the pressure of the gas phase contained in the tank along a path of the vessel; computing a cost function that at least depends on a total amount of boil-off gas generated in the tank along the path; and displaying to a user the tank management scenario as a function of the computed cost function.

The invention relates to a ship management method, a fleet management method and related devices. The ship management method comprises the following steps: acquiring first information of a ship, wherein the first information comprises an oil consumption condition associated with a navigational speed; acquiring second information of an energy-saving device which can be used by the ship; third information of fuel capable of being used by the ship is obtained; an integer programming model is constructed, the integer programming model comprises one or more of a first sub-model, a second sub-model and a third sub-model, the first sub-model is used for determining the navigational speed of the ship, the second sub-model is used for determining an energy-saving device to be used by the ship, and the third sub-model is used for determining fuel to be used by the ship, the integer programming model comprises a constraint that a carbon intensity index CII of the ship does not exceed a target CII; the integer programming model is solved using respective one or more of the first information, the second information, and the third information and a respective one or more of a speed, an energy saver, and fuel to be used is determined for the vessel.

The invention discloses a self-checking method and system for a comprehensive bridge system, and relates to the technical field of intelligent ship management, and the method comprises the steps: collecting bridge equipment data in the comprehensive bridge system through a data collector, carrying out the clustering processing of the bridge equipment data with a data function label, and obtaining a bridge equipment data cluster; according to a clustering result, carrying out modular division on the comprehensive ship bridge system, constructing self-inspection models of different modules of the comprehensive ship bridge system based on a data driving model, and training the self-inspection models by using the training data; and acquiring actual ship bridge equipment data of the comprehensive ship bridge system, matching a corresponding self-checking model by using the data function label, constructing an abnormal classifier in the self-checking model based on binary logic, and outputting a self-checking result by estimating a residual error between the ship bridge equipment data and the actual ship bridge equipment data. According to the invention, automatic abnormity discrimination of the comprehensive ship bridge system is realized through multi-source signal processing, early warning of ship abnormity is realized, and long-term stable operation of the comprehensive ship bridge system is ensured.

The invention provides a dynamic attack-based port and route network vulnerability assessment method for a complex network, and relates to the technical field of shipping management, and the method can construct a route network according to route data. And at least adopting each preset first type index to evaluate each port in the airline network, and determining the importance of each port. And meanwhile, evaluating the vulnerability of the airline network based on each second type index by adopting a dynamic attack mode, and determining a vulnerability evaluation result of the airline network. And determining a final evaluation result of the airline network according to the importance of each port and the vulnerability evaluation result, so as to accurately identify the key port and the influence of the key port on the airline network, and considering the dynamic change characteristics of the airline network, so that the vulnerability evaluation result is more accurate, the accuracy of the final evaluation result is improved, and the reliability of the airline network is improved. And an accurate and scientific decision basis is provided for a shipping company, so that the risk management capability is improved.

The present invention provides a fault handling method, device, and ship management system. The method includes detecting input faults in a power matching module and implementing a valid data selection strategy. The valid data selection strategy intercepts faulty data and selects fault-free data as valid data, and determines that a module-level fault occurs when no valid data is obtained. The method also includes detecting output faults in the power matching module and implementing a fault handling strategy and outputting a corresponding fault status. The fault handling strategy includes further determining whether a module-level fault occurs based on the output fault. Based on the detection of input and output faults, if a module-level fault occurs, module-level fault handling is performed. The present invention has fault tolerance and can ensure that the system can still output valid data even in the presence of a fault.

The utility model discloses a bulk cargo ship sewage discharge monitoring device which comprises a pipe body, a frame body, a stirring assembly, an adjusting assembly and a monitoring frame, the frame body is arranged at the top end of one side of the pipe body, the stirring assembly is arranged in the pipe body, the adjusting assembly is arranged on the side of the stirring assembly, and the monitoring frame is arranged on the other side of the pipe body. According to the bulk carrier sewage discharge monitoring device, the sensor monitors sewage discharge, the sensor is a flow sensor and can monitor sewage discharge flow in real time, the monitoring frame is arranged on the other side of the pipe body, and the water quality sensor is arranged at the bottom end of the monitoring frame and can monitor water quality parameters of sewage in real time; data are transmitted to a monitoring center of a ship management department or a supervision mechanism through a terminal, remote real-time monitoring is achieved, a clamping plate is arranged in a pipe body and used for blocking large particle impurities in a water body, and the clamping plate is matched with a blade-shaped stirring blade, so that the impurities are smashed, and the purposes of preventing blockage and reducing detection inaccuracy caused by interference are achieved.

A marine vessel management system to reduce the burden on a marine vessel rental business operator includes a marine vessel, an information processor, and a portable terminal device operable by a marine vessel user. When the marine vessel is leaving a port and / or when the marine vessel is returning to the port, the portable terminal device receives information about a state of the marine vessel via the information processor, and displays the received information about the state of the marine vessel.

The application discloses a safety system for an inlet and outlet valve of a total pump for a ship bottom fire extinguishing and a control method thereof, which comprises a total pump for a ship bottom fire extinguishing, a self-seawater main pipe and a self-ship bottom main pipe being communicated with an inlet main pipe of the total pump for the ship bottom fire extinguishing; a ship bottom sea discharge pipe and a fire hydrant pipe being communicated with an outlet main pipe of the total pump for the ship bottom fire extinguishing; a fire control pipe inlet total valve being arranged on the self-seawater main pipe; a ship bottom pipe inlet total valve being arranged on the self-ship bottom main pipe; a fire control pipe outlet total valve being arranged on the fire hydrant pipe; a ship bottom pipe outlet total valve being arranged on the ship bottom sea discharge pipe; the safety system further comprises a pump control box and a ship management system, the pump control box is used for controlling mode switching of the total pump for the ship bottom fire extinguishing, and the ship management system is used for controlling opening and closing of the fire control pipe inlet total valve, the ship bottom pipe inlet total valve, the fire control pipe outlet total valve and the ship bottom pipe outlet total valve. The application is used for ensuring safety of fire extinguishing or ship bottom operation when the total pump for the ship bottom fire extinguishing is in a fire extinguishing mode or a ship bottom mode.

The application discloses a kind of sea shipping assembly box shipping management methods based on internet of things platform, belong to logistics management technical field.Method includes: obtaining cargo list and extracting cargo attribute, analyzing chemical attribute and physical characteristic, generate conflict risk assessment report;Based on multistage time data construction time limit prediction model, optimize loading priority;Optimize loading scheme by space allocation and dynamic adjustment algorithm, ensure the compatibility of goods and transport timeliness;Real-time monitoring shipping state and according to delay risk trigger emergency adjustment, ensure the execution of transport plan.The present application can effectively improve loading efficiency, guarantee transport safety, reduce transport risk and delay probability, comprehensively improve logistics management level.The present application is suitable for intelligent logistics, sea shipping assembly box transportation and other fields, and provides efficient and accurate decision support for sea shipping management.

The present invention provides a method, system, storage medium, and electronic device for correcting ship static data, relating to the field of ship management technology. The method for correcting ship static data includes: acquiring a satellite image of a ship; determining the ship's dynamic data based on the satellite image, the dynamic data including the ship's location information and timestamp information; matching the ship's MMSI in a spatial database based on the dynamic data; determining an initial value of the ship's static data in a static database based on the ship's MMSI; calculating a correction value of the ship's static data based on an image recognition model and the satellite image; determining the ship's final static data based on the initial value and the correction value of the static data; and storing the ship's final static data in a static database. This application can reduce the difficulty of verifying ship data, timely update ship data in a static database, reduce the difficulty of managing ships at sea, and further improve the timeliness and accuracy of information filling and verification.

The application discloses an Internet-based ship in-out port scheduling system and method, and relates to the technical field of ship management. The system comprises: an initial ship scheduling unit; an optimal ship scheduling unit, which is used for combining multi-target scheduling constraints, constructing a multi-target reward tensor, processing the multi-target reward tensor by using a sequence based on Monte Carlo tree search, constructing a strategy to generate an initial scheduling set, and obtaining a candidate scheduling set through a denoising path optimization mechanism guided by a target condition to select an optimal ship scheduling sequence; a multi-ship coordination network unit, which is used for constructing a multi-dimensional space-time cascade graph to identify implicit resource conflicts between ships, and generating a coordinated track by using a multi-ship coordination track generation algorithm to form a multi-ship coordination network; and a scheduling instruction generation and pushing unit. The application ensures the balance and precision of ship scheduling among multiple targets, reduces scheduling errors and delays, and improves scheduling efficiency and decision quality.

The present invention discloses an early warning method for monitoring abnormal temperature conditions of ships carrying dangerous goods. The early warning method is divided into four parts: installation of monitoring equipment, determination of temperature abnormality parameters, calculation of temperature abnormality indicators, and grading of temperature abnormality levels. The present invention utilizes infrared thermal imaging temperature measurement methods to achieve spatial overall temperature measurement of the temperature field of all key hazardous locations on ships carrying dangerous goods. It utilizes multiple indicators that can objectively reflect the temperature abnormality and calculates the level of temperature abnormality on ships carrying dangerous goods based on a comprehensive temperature assessment strategy. The application of the present invention has the advantages of accurate advance warning, strong environmental adaptability, low false alarm rate, strong resistance to interference factors, good feasibility and operability, and provides an effective technical method for shipping management departments to implement accurate and effective hierarchical control.

A control right transfer system according to one embodiment disclosed herein includes: a ship control unit including a shipborne control unit disposed inside a ship and controlling ship navigation, a remote control unit disposed outside the ship and controlling ship navigation, and an autonomous operation control unit controlling autonomous navigation of the ship; an operation condition determination unit for determining an operation condition corresponding to each ship control unit based on a control function of the ship control unit, a sailing area of the ship, and a position of the ship; and a control right transfer unit for specifying, from among the ship control units, a first control unit that currently controls the ship and a second control unit that is to receive a control right transfer request, and transferring control right of the ship from the first control unit to the second control unit based on the first control unit, the second control unit, and the operating condition.

This invention discloses a BeiDou terminal monitoring method and system. The ingenious solution monitors the power supply of a BeiDou terminal equipped with a solar panel, compares the monitoring data with a preset battery charging characteristic curve, and outputs the judgment result. Using the preset battery charging characteristic curve as a reference, the power supply monitoring of the BeiDou terminal is not only fast and effective, but also allows for a good preliminary judgment on whether there are any anomalies in the battery or solar panel. Furthermore, when the power supply monitoring result indicates an abnormality in the BeiDou terminal's charging, this solution further intervenes through a ship management platform to determine whether the solar panel is obstructed, causing the anomaly. This solution is flexible and reliable, and plays a positive role in achieving maritime situational awareness.