A small planing watercraft includes: a travel electrical component driven for travel of the small planing watercraft; an accessory electrical component provided separately from the travel electrical component; a battery supplying power to the travel electrical component and the accessory electrical component; a sensor detecting a physical quantity corresponding to a level of the battery; and processing circuitry determining, based on a result of detection of the sensor, whether the level of the battery is a predetermined power saving level, and controlling, when it is determined that the level of the battery is the power saving level, operation of the accessory electrical component so that power consumed by the accessory electrical component is less than that before determination.

A small planing watercraft includes: a travel electrical component driven for travel of the small planing watercraft; an accessory electrical component provided separately from the travel electrical component; a battery supplying power to the travel electrical component and the accessory electrical component; a sensor detecting a physical quantity corresponding to a level of the battery; and processing circuitry determining, based on a result of detection of the sensor, whether the level of the battery is a predetermined power saving level, and controlling, when it is determined that the level of the battery is the power saving level, operation of the accessory electrical component so that power consumed by the accessory electrical component is less than that before determination.

According to the present disclosure, a nautical drift managing device is provided. The nautical drift managing device includes an input circuitry to receive destination position information for a watercraft. Further, the nautical drift managing device includes a sensor circuitry to obtain external force information associated with the watercraft. Furthermore, the nautical drift managing device includes processing circuitry to determine, based on the destination position information and the external force information, a drift line associated with a drifting movement of the watercraft when an engine of the watercraft is stopped or neutral.

According to the present disclosure, a nautical drift managing device is provided. The nautical drift managing device includes an input circuitry to receive destination position information for a watercraft. Further, the nautical drift managing device includes a sensor circuitry to obtain external force information associated with the watercraft. Furthermore, the nautical drift managing device includes processing circuitry to determine, based on the destination position information and the external force information, a drift line associated with a drifting movement of the watercraft when an engine of the watercraft is stopped or neutral.

A system and method for controlling a deployable device on a boat. The deployable device is movable by a drive mechanism. The method includes receiving a command to deploy the deployable device to a desired position; obtaining a controlling parameter for the drive mechanism based on the desired position; driving the drive mechanism to move the deployable device based on the controlling parameter; receiving, from a position sensor, an output corresponding to a real-time position of one of the deployable device and the drive mechanism; and driving the drive mechanism to move the deployable device to a final position based on the output of the position sensor and the desired position. The system comprises a controller including a memory and a processor being configured to perform the method.

A system and method for controlling a deployable device on a boat. The deployable device is movable by a drive mechanism. The method includes receiving a command to deploy the deployable device to a desired position; obtaining a controlling parameter for the drive mechanism based on the desired position; driving the drive mechanism to move the deployable device based on the controlling parameter; receiving, from a position sensor, an output corresponding to a real-time position of one of the deployable device and the drive mechanism; and driving the drive mechanism to move the deployable device to a final position based on the output of the position sensor and the desired position. The system comprises a controller including a memory and a processor being configured to perform the method.

A stability controller includes a machine learning engine that outputs stabilizer settings to several on-board stabilizer systems of a vessel based on various inputs. The machine learning engine is first trained based on human selections of stabilizer system settings, and then, once suitably trained, the stability controller can be used to optimize the use and operation of the stabilizer systems as conditions change, based on a quantity or stability quality that the vessel operator desires to optimize.

A stability controller includes a machine learning engine that outputs stabilizer settings to several on-board stabilizer systems of a vessel based on various inputs. The machine learning engine is first trained based on human selections of stabilizer system settings, and then, once suitably trained, the stability controller can be used to optimize the use and operation of the stabilizer systems as conditions change, based on a quantity or stability quality that the vessel operator desires to optimize.

A computer implemented method and apparatus for a marine vessel data system, the method comprising: receiving data from at least one sensor configured to measure vibration and operationally arranged to the marine vessel to provide time-domain reference sensor data; maintaining the time-domain reference sensor data within a data storage system; generating a Fast Fourier Transform (FFT) on the time-domain reference sensor data to provide a plurality of reference spectra files in frequency-domain, wherein each reference spectra file comprises spectra data defined by amplitude information and frequency information, and each spectra file is associated with condition information determined based on collection of the time-domain reference sensor data; normalizing each reference spectra file by converting the frequency information to order information using the condition information to provide normalized reference spectra files; and training a convolutional autoencoder type of neural network using the normalized reference spectra files.

A system for orienting a marine vessel is provided. The system includes marine propulsion devices, a gyroscopic stabilizer system, and a controller operably coupled to the marine propulsion devices and the gyroscopic stabilization system. The controller is configured to control operation of the marine propulsion devices to minimize a control torque output of the gyroscopic stabilizer system while maintaining the marine vessel in a selected global position and/or heading.