A marine vessel advisory system may be configured to calculate and provide operational information that show fuel consumption savings based on adjustment of vessel speed and/or heading. In an embodiment, the advisory system may operate real-time to collect operational and/or environmental conditions information to be used to calculate alternative operational performance of the marine vessel that will save fuel and reduce emissions. The calculations may include a simulation, machine learning, and/or artificial intelligence to determine a speed and/or heading of the marine vessel that will reduce fuel consumption. The advisory system may display the computed information for the operator, and the operator may elect to switch to the alternative operating parameters (e.g., slower speed). In an embodiment, the advisory system may interact directly with a marine vessel system and automatically cause the marine vessel system to adjust operating parameters based on computed operating parameters that saves fuel and reduces emissions.

A method for predicting heaving motion parameters of a semi-submersible offshore platform based on heaving acceleration includes: in heaving motion of a semi-submersible offshore platform, representing heaving acceleration of the semi-submersible offshore platform based on a linear potential flow theory; considering a noise influence of a heaving motion measurement marine environment, a low-frequency influence caused by a slow change of the environment and an influence caused by a baseline drift error of an acceleration sensor, introducing a noise term, a low-frequency change term and a baseline drift error term, and uniformly representing the noise term, the low-frequency change term and the baseline drift error term by a unified Prony sequence; and removing a drift term from uniformly represented heaving acceleration, establishing a relationship between the heaving acceleration and heaving motion parameters in terms of the remaining Prony sequence with the drift term being removed, and estimating the heaving motion parameters.

A method for predicting heaving motion parameters of a semi-submersible offshore platform based on heaving acceleration includes: in heaving motion of a semi-submersible offshore platform, representing heaving acceleration of the semi-submersible offshore platform based on a linear potential flow theory; considering a noise influence of a heaving motion measurement marine environment, a low-frequency influence caused by a slow change of the environment and an influence caused by a baseline drift error of an acceleration sensor, introducing a noise term, a low-frequency change term and a baseline drift error term, and uniformly representing the noise term, the low-frequency change term and the baseline drift error term by a unified Prony sequence; and removing a drift term from uniformly represented heaving acceleration, establishing a relationship between the heaving acceleration and heaving motion parameters in terms of the remaining Prony sequence with the drift term being removed, and estimating the heaving motion parameters.

Embodiments of the present disclosure disclose a typhoon trajectory prediction method, device, electronic equipment and computer readable medium. A detailed implementation of the method includes acquiring typhoon status information that includes typhoon wind speed information and typhoon location information, acquiring information of target distance from typhoon to a target position, obtaining typhoon time difference information based on the information of target distance and the typhoon wind speed information, performing slicing processing on the typhoon time difference information to generate time difference ratio information, performing data processing on the time difference ratio information and the information of target distance to generate time ratio distance information, and performing data processing on the time ratio distance information and the typhoon position information to generate typhoon position prediction information. The implementation realizes targeted prediction typhoon position information, thus enhancing the accuracy of broadcasting typhoon position.

Embodiments of the present disclosure disclose a typhoon trajectory prediction method, device, electronic equipment and computer readable medium. A detailed implementation of the method includes acquiring typhoon status information that includes typhoon wind speed information and typhoon location information, acquiring information of target distance from typhoon to a target position, obtaining typhoon time difference information based on the information of target distance and the typhoon wind speed information, performing slicing processing on the typhoon time difference information to generate time difference ratio information, performing data processing on the time difference ratio information and the information of target distance to generate time ratio distance information, and performing data processing on the time ratio distance information and the typhoon position information to generate typhoon position prediction information. The implementation realizes targeted prediction typhoon position information, thus enhancing the accuracy of broadcasting typhoon position.

Disclosed are a method, a device, equipment and a medium for dynamic positioning of a semi-submersible offshore platform. The method includes: acquiring a real-time position of the platform; if the real-time position is different from a preset position, detecting an external force torque by a first torque detector; calculating a first target thrust produced by each of propellers, controlling the propellers to produce forces according to a first target thrust torque, and detecting an actual thrust torque; obtaining a fault condition of each of the propellers if the actual thrust torque is different from the first target thrust torque, indicating that the propellers have faults; recalculating a thrust of each of the propellers, a second target thrust torque, according to the fault condition, the external force torque and the preset formula set; and controlling each of the propellers to generate the thrust according to a corresponding second target thrust torque.

Disclosed are a method, a device, equipment and a medium for dynamic positioning of a semi-submersible offshore platform. The method includes: acquiring a real-time position of the platform; if the real-time position is different from a preset position, detecting an external force torque by a first torque detector; calculating a first target thrust produced by each of propellers, controlling the propellers to produce forces according to a first target thrust torque, and detecting an actual thrust torque; obtaining a fault condition of each of the propellers if the actual thrust torque is different from the first target thrust torque, indicating that the propellers have faults; recalculating a thrust of each of the propellers, a second target thrust torque, according to the fault condition, the external force torque and the preset formula set; and controlling each of the propellers to generate the thrust according to a corresponding second target thrust torque.

An apparatus for determining an optimal route of a maritime ship comprises a database configured to store a service speed of the maritime ship. The apparatus further comprises a processor configured to generate a plurality of state nodes, to determine a plurality of time sets, to append the plurality of time sets to the plurality of state nodes to obtain a plurality of appended state nodes, to generate a plurality of edges based on the plurality of appended state nodes, to generate a graph based on the plurality of appended state nodes and the plurality of edges, to apply a preliminarily generated optimal route algorithm on the graph to obtain a preliminarily defined route path, and to apply a genetic algorithm based on the preliminarily defined route path to obtain the optimal route of the maritime ship.

An apparatus for determining an optimal route of a maritime ship comprises a database configured to store a service speed of the maritime ship. The apparatus further comprises a processor configured to generate a plurality of state nodes, to determine a plurality of time sets, to append the plurality of time sets to the plurality of state nodes to obtain a plurality of appended state nodes, to generate a plurality of edges based on the plurality of appended state nodes, to generate a graph based on the plurality of appended state nodes and the plurality of edges, to apply a preliminarily generated optimal route algorithm on the graph to obtain a preliminarily defined route path, and to apply a genetic algorithm based on the preliminarily defined route path to obtain the optimal route of the maritime ship.

Controlling marine vessel: obtaining motion data related to the marine vessel; obtaining an operation state related to one or more apparatuses exerting force from the marine vessel to ambient water; detecting a disturbance in one or more degrees of freedom affecting the marine vessel based on the motion data; and determining control data for the one or more apparatuses exerting force to attenuate the detected disturbance.