A method for situation awareness is provided. The method comprises: preparing a neural network trained by a learning set, wherein the learning set includes a plurality of maritime images and maritime information including object type information which includes a first type index for a vessel, a second type index for a water surface and a third type index for a ground surface, and distance level information which includes a first level index indicating that a distance is undefined, a second level index indicating a first distance range and a third level index indicating a second distance range greater than the first distance range; obtaining a target maritime image generated from a camera; and determining a distance of a target vessel based on the distance level index of the maritime information being outputted from the neural network which receives the target maritime image and having the first type index.

A method, system and product for dead reckoning-based analysis of fabricated maritime data. The method comprises determining an initial location of the maritime vessel; determining speed and heading information using the location-reporting signals; computing estimated location of the maritime vessel at a specific time, based on the initial location and based on the speed and heading information; comparing the estimated location with a reported location at the time according to location-reporting signals; based on the comparison, determining that the location-reporting signals are at least partially fabricated; and in response to the determination that the location-reporting signals are at least partially fabricated, performing a responsive action.

A method, system and product for dead reckoning-based analysis of fabricated maritime data. The method comprises determining an initial location of the maritime vessel; determining speed and heading information using the location-reporting signals; computing estimated location of the maritime vessel at a specific time, based on the initial location and based on the speed and heading information; comparing the estimated location with a reported location at the time according to location-reporting signals; based on the comparison, determining that the location-reporting signals are at least partially fabricated; and in response to the determination that the location-reporting signals are at least partially fabricated, performing a responsive action.

To improve prediction accuracy in model predictive control.

The ship control device includes processing circuitry. The processing circuitry estimates an initial search value of a throttle opening by an estimation method based on uncertainty with a distance between a position of the ship and a target position of dynamic positioning, and a true wind velocity as preconditions. The processing circuitry searches an action for moving the ship to the target position by a model predictive control in a search range having the initial search value as an origin, and determines a command throttle opening based on the search result.

To improve prediction accuracy in model predictive control.

The ship control device includes processing circuitry. The processing circuitry estimates an initial search value of a throttle opening by an estimation method based on uncertainty with a distance between a position of the ship and a target position of dynamic positioning, and a true wind velocity as preconditions. The processing circuitry searches an action for moving the ship to the target position by a model predictive control in a search range having the initial search value as an origin, and determines a command throttle opening based on the search result.

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.

A propulsion system for a seagoing vessel includes a rotatable frame and either (a) at least two masts coupled to the frame and each having a sail and a boom, or (b) at least two blades coupled to the frame. The rotatable frame and either the rotatable boom or at least two blades may be locked in position in a locked mode and unlocked and freely rotatable in an unlocked mode. A control system that is in communication in communication with a frame lock and either a boom lock or a blade lock and may be configured to determine when the vertical axis wind turbine should be in either the locked mode or the unlocked mode based on the direction of the wind and a direction that the seagoing vessel is traveling.

A propulsion system for a seagoing vessel includes a rotatable frame and either (a) at least two masts coupled to the frame and each having a sail and a boom, or (b) at least two blades coupled to the frame. The rotatable frame and either the rotatable boom or at least two blades may be locked in position in a locked mode and unlocked and freely rotatable in an unlocked mode. A control system that is in communication in communication with a frame lock and either a boom lock or a blade lock and may be configured to determine when the vertical axis wind turbine should be in either the locked mode or the unlocked mode based on the direction of the wind and a direction that the seagoing vessel is traveling.

An apparatus includes a first member having a housing that encloses a power source and a controller, a second member coupled to the first member that is seeded with a target product, and a sensing module coupled to the first member to allow power from the power source to be transmitted to the sensing module and sensor data from the sensing module to be transmitted to the controller. The sensing module including a sensor oriented toward at least a portion of the second member. The sensor configured to obtain sensor data associated with at least one characteristic of the target product.