A system includes a memory device and a processing device. The processing device is operatively coupled to the memory device to perform operations, including receiving a set of data associated with operation of a self-propelled vehicle, obtaining power demand data based on the set of data, and utilizing the power demand data within one or more applications related to the self-propelled vehicle.

Disclosed are a method and a virtual sensor system for determining the speed through water of a marine vessel. The method includes obtaining propeller revolutions per minute and at least one of torque at propeller, propulsion power, thrust and engine fuel flow, obtaining speed over ground or logged data from one or more speed through water logs of the vessel and using the obtained data and hydrodynamic modelling to determine the speed through water of the vessel.

Disclosed are a method and a virtual sensor system for determining the speed through water of a marine vessel. The method includes obtaining propeller revolutions per minute and at least one of torque at propeller, propulsion power, thrust and engine fuel flow, obtaining speed over ground or logged data from one or more speed through water logs of the vessel and using the obtained data and hydrodynamic modelling to determine the speed through water of the vessel.

The disclosed is a method for forecasting a demand load during navigation of a ship based on working condition classification. The method of the disclosure comprises: training historical data values by employing a least squares support vector machine to obtain a classification plane, classifying working conditions during the navigation into a fast-changing working condition and a stable working condition, and determining in real time a working condition type of the ship in an online stage. A method for forecasting a demand load by means of a Markov chain is employed for the stable working condition, and a method for forecasting a demand load by means of a radial basis function neural network optimized by a genetic algorithm is employed for the fast-changing working condition. A desirable forecasting effect can be achieved by selecting forecast models suitable for either type of working condition.

The disclosed is a method for forecasting a demand load during navigation of a ship based on working condition classification. The method of the disclosure comprises: training historical data values by employing a least squares support vector machine to obtain a classification plane, classifying working conditions during the navigation into a fast-changing working condition and a stable working condition, and determining in real time a working condition type of the ship in an online stage. A method for forecasting a demand load by means of a Markov chain is employed for the stable working condition, and a method for forecasting a demand load by means of a radial basis function neural network optimized by a genetic algorithm is employed for the fast-changing working condition. A desirable forecasting effect can be achieved by selecting forecast models suitable for either type of working condition.

A ship cabin loading capacity measurement method and apparatus thereof, comprises: acquiring point cloud measurement data of a ship cabin; optimizing the point cloud measurement data according to a predetermined point cloud data processing rule, and generating optimized ship cabin point cloud data; calculating said ship cabin point cloud data with a predetermined loading capacity calculation rule, and getting ship cabin loading capacity data. According to the ship cabin loading capacity measurement method of the present invention, the point cloud measurement data can be acquired by a lidar, and processing the point cloud measurement data of the ship cabin with a predetermined point cloud data processing law and a computation law, and as the point cloud data processing law and the computation law can be deployed in a computer device in advance, after point cloud measurement data acquisition, loading capacity of a ship cabin can be acquired quickly and precisely.

A supervisory propulsion controller module, a speed and position sensing system, and a communication system that are incorporated on marine vessels to reduce the wave-making resistance of the multiple vessels by operating them in controlled and coordinated spatial patterns to destructively cancel their Kelvin wake transverse or divergent wave system through active control of the vessels separation distance with speed. This will enable improvement in the vessel's mobility (speed, payload and range), improve survivability and reliability and reduce acquisition and total ownership cost.

A supervisory propulsion controller module, a speed and position sensing system, and a communication system that are incorporated on marine vessels to reduce the wave-making resistance of the multiple vessels by operating them in controlled and coordinated spatial patterns to destructively cancel their Kelvin wake transverse or divergent wave system through active control of the vessels separation distance with speed. This will enable improvement in the vessel's mobility (speed, payload and range), improve survivability and reliability and reduce acquisition and total ownership cost.

A vessel environment condition assessment system and method, the system comprising a motion measurement unit on board a vessel configured to sense the vessels motion, wherein the motion measurement unit is configured to output a motion signal of the vessel, a processor adapted to receive the motion signal of the vessel, and apply an energy operator to the motion signal to calculate an energy signal representative of the environmental condition for the vessel.

The present disclosure provides an image generating device that includes processing circuitry configured to acquire an image captured by an imaging device to be installed in a water-surface movable body, acquire positional information indicative of a position of the water-surface movable body, acquire posture information indicative of a posture of the water-surface movable body, acquire additional display information including information indicative of positions of one or more locations, generate a synthesized image where a graphic rendering a three-dimensional virtual reality object indicative of the additional display information is synthesized on the captured image based on the positional information, the posture information, and the additional display information, and place the graphic across a boundary of the captured image when the captured image is placed only in a certain portion of the synthesized image.