A system and method for the estimation of a sloshing response of a sealed and thermally insulating tank for transporting liquefied gas. A statistical model is trained using a supervised machine learning method on a set of test data that may include sea test data, the statistical model being capable of estimating a sloshing response of the tank depending on a tank fill level and a current sea state, and optionally at least one of a draught, speed or course of the vessel. The statistical model trained in this manner is used to estimate a sloshing response of a sealed and thermally insulating tank for transporting liquefied gas. In an alternative embodiment, the statistical model estimates the sloshing response from a tank fill level and a current sea state, and optionally from at least one of a draught, speed or course of the vessel.

A low-order vessel propulsion power prediction method may be performed to determine factors, including power demand parameters, used in configuring a propulsion system for a marine vessel. The low-order method may receive stability data and vessel operation profile data, in addition to computational fluid dynamics simulation results to determine predicted vessel power profiles. The predicted vessel power profiles may be used to configure a powertrain system model for the marine vessel.

Systems and methods for conveniently providing anchoring assistance onboard a watercraft are provided herein. An example system includes a display and a processor in communication with a marine system. The processor is configured to receive marine data from the marine system and/or one or more user inputs and cause the display to show one or more anchoring locations with visual indications of the anchorage quality index based on at least the marine data and/or user inputs. The one or more anchoring locations may be shown as a heat map overlaid on a map. The system may use real-time marine data, environmental data, weather data, tide data, etc. to dynamically adjust the anchoring locations and anchorage quality index. The system may enable convenient and helpful suggestions and notifications to the user when anchoring a watercraft. Some examples provide automatic deployment of an anchoring system and monitoring of a current anchoring.

Systems and methods for conveniently providing anchoring assistance onboard a watercraft are provided herein. An example system includes a display and a processor in communication with a marine system. The processor is configured to receive marine data from the marine system and/or one or more user inputs and cause the display to show one or more anchoring locations with visual indications of the anchorage quality index based on at least the marine data and/or user inputs. The one or more anchoring locations may be shown as a heat map overlaid on a map. The system may use real-time marine data, environmental data, weather data, tide data, etc. to dynamically adjust the anchoring locations and anchorage quality index. The system may enable convenient and helpful suggestions and notifications to the user when anchoring a watercraft. Some examples provide automatic deployment of an anchoring system and monitoring of a current anchoring.

An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

An imaging system for a ship includes cameras mounted on the ship and spaced apart at a predetermined interval, and a controller that combines peripheral images of the ship captured by the respective cameras to create a simulated bird's eye image. Adjacent ones of the cameras are located at positions and angles so that the peripheral images include a common portion of the ship. The controller performs a calibration process to adjust areas of the peripheral images to be used for the bird's eye image based on a calibration index located at a portion of the ship and included in the common peripheral images.

To easily grasp a relationship of parameter values which influence a log velocity of a ship, with the log velocity of the ship caused by the parameters, a ship characteristic estimating device is provided, which includes a data outputter configured to output a plurality of parameter data respectively including rotational speed data of a propeller of a ship, and wind velocity vector data of wind force that may act on the ship, and an estimator configured to receive the plurality of parameter data outputted from the data outputter, estimate values corresponding to the respective parameter data to be log velocity vectors of the ship, and output them as first output values. The rotational speed data are same as each other and the wind velocity vector data are different from each other.

A point calculation device includes a shaking determination unit configured to acquire weather information or detection information of a vibration sensor mounted on a vehicle and determine a shaking of the vehicle according to the acquired information and a point calculation unit configured to calculate use points for the vehicle according to a determination of the shaking determination unit from a departure location to an arrival location of the vehicle.

A method of maintaining positioning between vessels includes monitoring a relative position between a storage tank vessel and a shuttle tanker with a control system in operative communication with the vessels. Also included is inputting physical property data relating to the storage tank vessel and the shuttle tanker to the control system. Further included is processing environmental condition data with the control system. Yet further included is controlling at least one positioning action to be taken by the storage tank vessel and the shuttle tanker with the control system in response to positioning calculations conducted by the control system based on the physical property data and the environmental condition data. Also included is maintaining an angular differential within a predetermined limit with the at least one positioning action.