The present disclosure relates to a method for determining the working life of a traction battery of a boat, including the steps of determining a system configuration and/or operating conditions of the boat, providing a traction battery model, which states an ageing condition of the traction battery as time progresses depending on the system configuration and/or operating conditions determining at least one condition that confirms the end-of-life condition of the traction battery has been reached and calculating the time-period until the end-of-life condition is reached on the basis of the traction battery model.

The present disclosure relates to a method for determining the working life of a traction battery of a boat, including the steps of determining a system configuration and/or operating conditions of the boat, providing a traction battery model, which states an ageing condition of the traction battery as time progresses depending on the system configuration and/or operating conditions determining at least one condition that confirms the end-of-life condition of the traction battery has been reached and calculating the time-period until the end-of-life condition is reached on the basis of the traction battery model.

A method for controlling an elastic mount configured to support a propulsion device with respect to a marine vessel, wherein the elastic mount contains an electromagnetic fluid and an electromagnet and is configured such that adjusting an amount of electricity applied to the electromagnet changes a shear strength of the electromagnetic fluid in the elastic mount and thereby controls an elasticity of the elastic mount. The method includes applying a first amount of electricity to the electromagnet to produce an initial elasticity of the elastic mount measuring an oscillation of the propulsion device with a motion sensor, determining that the oscillation of the propulsion device exceeds a threshold oscillation, and adjusting the amount of electricity applied to the electromagnet to change the elasticity of the elastic mount to reduce the oscillation.

A vessel hull stabilization system includes a housing having a rotatable shaft mounted thereto, the shaft configured to connect to a fin such that the fin is located on an outside of the vessel hull and the housing is located on an inside of the vessel hull. A drive system is mounted to the housing and includes a motor and a drive element. The motor is connected to a central shaft of the drive element. The drive element includes a plurality of teeth positioned between the outer element and the central shaft such that when the motor rotates the central shaft, the plurality of teeth oscillate inwards and outwards to interact with teeth in the outer element and thereby cause rotation of a fin shaft connected to the outer element or to the gear having the oscillating teeth. A controller receives sensor readings to determine control signals to send to the motor(s) to impart rotation of the fin.

Techniques for providing instructions to an operator of a sea vessel via a computing device are described. The computing device can request, from another computing device, instructions regarding one or more of an intended course and action plan for the sea vessel, which can include at least one navigational instruction and/or deployment instruction. The computing device can send data to a display device to cause a prompt to be displayed. The prompt can include options regarding the at least one instruction. The computing device can send state information of the sea vessel to the other computing device. The state information can include the received input and location information of the sea vessel. Additionally, data can be received by the computing device from a shore based operator and data can be sent to one or more clients on shore.

A system and method for multi-image-based vessel proximity situation recognition support is proposed. The system may include an unmanned surface vehicle (USV) configured to detect and track surrounding objects by monitoring surroundings using surrounding images and navigation sensors. The system may also include a remote navigation controller configured to support proximity situation recognition of the unmanned surface vehicle according to detection of the surrounding objects, wherein the unmanned surface vehicle may include an image acquisition processor, a navigation sensor, and a detector.

A system and method for multi-image-based vessel proximity situation recognition support is proposed. The system may include an unmanned surface vehicle (USV) configured to detect and track surrounding objects by monitoring surroundings using surrounding images and navigation sensors. The system may also include a remote navigation controller configured to support proximity situation recognition of the unmanned surface vehicle according to detection of the surrounding objects, wherein the unmanned surface vehicle may include an image acquisition processor, a navigation sensor, and a detector.

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.

A system and method for deterring theft of a marine vehicles is provided. The system is designed to collect barometric pressure data and analyze it to determine whether there has been a sudden change in elevation that may be indicative of a theft. The system is also designed to collect environmental data pertaining to a marine vehicle's normal environment and compare it to a normal environmental state of the marine vehicle in order to detect changes that may be indicative of a theft. Additionally, the system is designed to monitor equipment of the marine vehicle and alert a user if the equipment has been moved in a way that may be indicative of a theft. When the system determines an event has occurred that may be indicative of a theft, the system may alert the user by triggering an alarm via a computer readable signal.

The Earth's oceans naturally distribute items aboard barges or other carrying vessels in an efficient manner. Carrying vessels are inserted into gyres, currents, eddies or other sources of flow by support vessels, which may be manned or autonomous. A carrying vessel may be transported from a port or other origin to a point within a naturally occurring flow of seawater by a support vessel, and permitted to travel at speeds and in directions defined by natural factors, from one point to another point, for extended durations. A carrying vessel may be removed from a naturally occurring flow of seawater by a support vessel and transported to a port or other destination. Flow rates, transit times and points within naturally occurring flows at which a carrying vessel may engage with or disengage from a support vessel may be determined according to a machine learning model or in any other manner.