Disclosed is a detector 10 using a liquid spray 2000 for detecting electrical faults or shorts with the detector including a body 100 having an interior 120; a hose or pipe 130 fluidly connected to interior 120; a trigger valve 140 operatively connected to hose 130; a conductor 200 attached to detector 10; and/or a pump 110 fluidly connected to interior 120. In various embodiments the detector 10 can cause liquid spray 2000 to be sprayed on a subregion of an item such as a remotely operated vehicle to create a closed electrical circuit through the liquid spray and the conductor in the detector.

A ship propulsion device includes three or more propulsion units, a malfunction detection unit, and a control unit. The control unit is configured to control the three or more propulsion units. The three or more propulsion units are disposed with left-right symmetry. Based on a malfunction detected in any one of the three or more propulsion units by the malfunction detection unit while the three or more propulsion units are operating, the control unit is configured to stop the propulsion unit in which the malfunction is detected, and, on a left side and a right side of a hull, stop at least one propulsion unit of the three or more propulsion units disposed on the side opposite from the side on which the propulsion unit in which the malfunction is detected is disposed.

A ship propulsion device includes three or more propulsion units, a malfunction detection unit, and a control unit. The control unit is configured to control the three or more propulsion units. The three or more propulsion units are disposed with left-right symmetry. Based on a malfunction detected in any one of the three or more propulsion units by the malfunction detection unit while the three or more propulsion units are operating, the control unit is configured to stop the propulsion unit in which the malfunction is detected, and, on a left side and a right side of a hull, stop at least one propulsion unit of the three or more propulsion units disposed on the side opposite from the side on which the propulsion unit in which the malfunction is detected is disposed.

A software-based commissioning strategy for customization of a new marine vessel having a newly installed stability/dynamic active control system. The commissioning strategy will be implemented by using a proprietary customer-facing software embedded within a software module of a newly installed dynamic active control system for a new marine vessel (and a new hull type). The software-controlled commissioning strategy is configured to automatically determine the appropriate feedback gains for the marine vessel by controlling the deployment of the water engagement devices while simultaneously measuring and capturing the data generated from the resulting list angle, roll angle, roll rate, and yaw rate changes associated with the deployment. The software driven commissioning strategy is further configured for auto-calibrating the following functional parameters of the new marine vessel: (1) Speed-Based Bias Adjustments (SBBAs), (2) Roll Overall Gain (ROG), (3) Pitch Overall Gain (POG) and (4) Yaw Rate Gain (YRG) of the marine vessel.

A software-based commissioning strategy for customization of a new marine vessel having a newly installed stability/dynamic active control system. The commissioning strategy will be implemented by using a proprietary customer-facing software embedded within a software module of a newly installed dynamic active control system for a new marine vessel (and a new hull type). The software-controlled commissioning strategy is configured to automatically determine the appropriate feedback gains for the marine vessel by controlling the deployment of the water engagement devices while simultaneously measuring and capturing the data generated from the resulting list angle, roll angle, roll rate, and yaw rate changes associated with the deployment. The software driven commissioning strategy is further configured for auto-calibrating the following functional parameters of the new marine vessel: (1) Speed-Based Bias Adjustments (SBBAs), (2) Roll Overall Gain (ROG), (3) Pitch Overall Gain (POG) and (4) Yaw Rate Gain (YRG) of the marine vessel.

The disclosure provides a method and system to monitor and advise the status of a group of floating platforms, such as offshore floating wind platforms, by using a floating platform's motion in the group and detect one or more anomalies to identify one or more disorders (including irregularities) in the group. Input for this method can include information of wind speed and direction and orientations of the wind turbine nacelles. The orientation of the platform can complement the orientation of a wind turbine nacelle on the platform in case the platform is equipped with a turret. Disorders include, but not limited to, mooring line failure, shifts of a drag anchor, other issues with the mooring system components such as fairleads, issues with the ballasting configuration of the floater, issues with the turret (if any), issues with the swivel of the nacelle, issues with the rotor, and issues with the blades.

An autonomous ship bottom inspection method by a ROV(s) based on a ship 3D model in STL format is provided. The ship 3D model is obtained and a surface thereof is spliced by triangular facets. Body 3D coordinate points of the ship 3D model are obtained and then expanded according to a safety distance of ROV and ship to obtain inspection track points of the ROV. The ship 3D model is divided into regions, and the inspection track points in each region are performed with interpolation and smoothing. Smoothed inspection track points of the regions are connected as per a result of the dividing to obtain a ship bottom inspection track, a real-time position of the ROV is obtained, a ship bottom inspection path is generated based on the ship bottom inspection track and the real-time position. The ROV is controlled to move as per the ship bottom inspection path.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for estimating wave properties of a body of water. A computer-implemented system obtains measurement data for a duration of time from an inertial measurement unit (IMU) onboard an underwater device, generates model input data based on at least the measurement data obtained at the plurality of time points, and processes the model input data to generate model output data indicating one or more wave properties using a machine-learning model. The system further determines, based on at least the one or more wave properties, whether the device is safe to be deployed.

The present disclosure relates to systems and methods for continuous monitoring and control of the vessel performance and history of a vessel, and is configured for use with multiple wide-area network (WAN) interfaces. The disclosed systems can use multiple vessel system interfaces and inputs and outputs to log, report, and transmit vital information via a computer program that adapts to weighted metrics and WAN availability. This can help ensure that prioritized data always is sent first; while ancillary and auxiliary data are sent later through a transmission medium that is directed, timely, and fiscally responsible. Thus, real-time data can be processed to hasten repairs or troubleshooting, and long-term data can be analyzed for safety and nominal operation of machinery.

The present disclosure relates to systems and methods for continuous monitoring and control of the vessel performance and history of a vessel, and is configured for use with multiple wide-area network (WAN) interfaces. The disclosed systems can use multiple vessel system interfaces and inputs and outputs to log, report, and transmit vital information via a computer program that adapts to weighted metrics and WAN availability. This can help ensure that prioritized data always is sent first; while ancillary and auxiliary data are sent later through a transmission medium that is directed, timely, and fiscally responsible. Thus, real-time data can be processed to hasten repairs or troubleshooting, and long-term data can be analyzed for safety and nominal operation of machinery.