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 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.

A system and method for predicting, forecasting and suggesting voyage plans for a vessel by considering design parameters, weather in sailing routes and a user's preference for best weather or best economy or fastest way to reach the destination. Voyage plans are optimized using the above parameters, and directions are continuously provided in the form of heading and speeds to be maintained by the vessel during the course of the voyage.

The present invention discloses a method and device for controlling energy-saving sailing of a ship. The method comprises the steps of changing the operating parameters of the ship correspondingly when the resistance of the ship changes during routine sailing, controlling the current opening degree of a throttle to increase the instantaneous oil supply amount of a main engine of the ship if the resistance of the ship becomes smaller, and controlling the current opening degree of the throttle to reduce the instantaneous oil supply amount of the main engine of the ship if the resistance of the ship becomes larger. Compared with the prior art, the method and device have the advantages that energy waste is reduced greatly and the sailing cost is reduced.

A race start assistance method for a boat participating in a regatta including a pre-race having a duration before the crossing of the start line, the method including a first step intended to permit the creation and storage of the start line in virtual form, and the determination of the instantaneous speed of the boat and its position with respect to the start line, in order to provide at least one indication on how to proceed in the pre-race.

The invention relates to a method for managing maintenance for a ship comprising a sealed and thermally insulating tank for transporting liquefied gas. The method comprises the steps consisting in determining 310 a current filling level of the tank, determining 320 a current state of movement of the ship, determining 330 a current sloshing index IBi from the current filling level of the tank and the current state of movement of the ship, taking into account the position and the geometry of the tank, integrating 340 the determined current sloshing index IBi into a wear index IUi that takes into account a history of the sloshing indices. The wear index is then compared to a threshold in order to indicate if the tank needs to be inspected, depending on the result of the comparison.

The invention relates to a method for managing maintenance for a ship comprising a sealed and thermally insulating tank for transporting liquefied gas. The method comprises the steps consisting in determining 310 a current filling level of the tank, determining 320 a current state of movement of the ship, determining 330 a current sloshing index IBi from the current filling level of the tank and the current state of movement of the ship, taking into account the position and the geometry of the tank, integrating 340 the determined current sloshing index IBi into a wear index IUi that takes into account a history of the sloshing indices. The wear index is then compared to a threshold in order to indicate if the tank needs to be inspected, depending on the result of the comparison.

The present application discloses is a scheduling method and system for fully autonomous waterborne inter terminal transportation, and belongs to the field of transportation. The method includes: establishing a dynamic scheduling model for waterborne Autonomous guided vessels (wAGVs); quickly inserting the dynamically arriving transportation tasks into all the existing wAGV paths, calculating the insertion cost and selecting the path and position with the lowest insertion cost to obtain updated initial paths; improving the initial path using a heuristic algorithm based on tabu search to obtain quasi-optimal wAGV paths; executing the scheduling wAGV paths. The scheduling model of the present application is based on the combinatorial optimization, and considers performance indexes such as transportation distance and customer satisfaction, and constraints such as time window and loading capacity. An initial path by using an insertion method within the framework of rolling horizon is constructed. The initial path is then optimized and improved by designing a tabu search heuristic so that obtaining quasi-optimal multi-wAGV paths are obtained in real time. This system is helpful to improve the autonomy level of large ports.

The present application discloses is a scheduling method and system for fully autonomous waterborne inter terminal transportation, and belongs to the field of transportation. The method includes: establishing a dynamic scheduling model for waterborne Autonomous guided vessels (wAGVs); quickly inserting the dynamically arriving transportation tasks into all the existing wAGV paths, calculating the insertion cost and selecting the path and position with the lowest insertion cost to obtain updated initial paths; improving the initial path using a heuristic algorithm based on tabu search to obtain quasi-optimal wAGV paths; executing the scheduling wAGV paths. The scheduling model of the present application is based on the combinatorial optimization, and considers performance indexes such as transportation distance and customer satisfaction, and constraints such as time window and loading capacity. An initial path by using an insertion method within the framework of rolling horizon is constructed. The initial path is then optimized and improved by designing a tabu search heuristic so that obtaining quasi-optimal multi-wAGV paths are obtained in real time. This system is helpful to improve the autonomy level of large ports.