Patent classifications
B63B79/30
Characterising wave properties based on measurement data using a machine-learning model
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.
TESTING DEVICE AND METHOD FOR TESTING A DRIVE TRAIN OR COMPONENTS WITHIN A MARINE PROPULSION SYSTEM HAVING AT LEAST ONE DRIVEN SHAFT
A testing device for testing a drive train or components within a marine propulsion system is provided and includes a first disk with a plurality of first disk depressions that faces a second disk with a plurality of second disk depressions. The first disk and the second disk are secured relative to each other so that they define a space, and a seal at outer edges of the disks is in fluid communication with the space. One of the first disk and the second disk is secured to a driven shaft. Upon rotation of the driven shaft, a load is produced due to shearing of fluid between the disks, yet no thrust is produced.
TESTING DEVICE AND METHOD FOR TESTING A DRIVE TRAIN OR COMPONENTS WITHIN A MARINE PROPULSION SYSTEM HAVING AT LEAST ONE DRIVEN SHAFT
A testing device for testing a drive train or components within a marine propulsion system is provided and includes a first disk with a plurality of first disk depressions that faces a second disk with a plurality of second disk depressions. The first disk and the second disk are secured relative to each other so that they define a space, and a seal at outer edges of the disks is in fluid communication with the space. One of the first disk and the second disk is secured to a driven shaft. Upon rotation of the driven shaft, a load is produced due to shearing of fluid between the disks, yet no thrust is produced.
SYSTEMS, DEVICES AND METHODS FOR MONITORING SUPPORT PLATFORM STRUCTURAL CONDITIONS
Systems, devices and methods enable generation and monitoring of support platform structural conditions in a manner that overcomes drawbacks associated with conventional approaches (e.g., load cells) for generating and monitoring similar operating condition information. In preferred embodiments, such systems, devices and methods utilize fiber optic strain gauges (i.e., fiber optic sensors) in place of (e.g., retrofit/data replacement) or in combination with conventional load cells. The fiber optic sensors are strategically placed at a plurality of locations on one or more support bodies of a support platform. In preferred embodiments, the fiber optic strain gauges are placed in positions within a hull and/or one or more pontoons of an offshore platform. Such positions are selected whereby resulting operating condition data generated by the fiber optic strain gauges suitably replaces data received by conventionally constructed and located load cells of an offshore platform (e.g., a TLP).
UNDERWATER VEHICLE INSPECTION
Methods and apparatus for inspecting an underwater vehicle. In embodiments, a system receives a SAR image for at least a portion of an exterior surface of an underwater vehicle and performs CCD processing to compare a baseline SAS image for the underwater vehicle with the received SAR image of the underwater vehicle to generate a CCD output corresponding to a measure of similarity of the baseline SAS image and the received SAS image. The system determines whether there was tampering of the underwater vehicle based on the measure of similarity.
UNDERWATER VEHICLE INSPECTION
Methods and apparatus for inspecting an underwater vehicle. In embodiments, a system receives a SAR image for at least a portion of an exterior surface of an underwater vehicle and performs CCD processing to compare a baseline SAS image for the underwater vehicle with the received SAR image of the underwater vehicle to generate a CCD output corresponding to a measure of similarity of the baseline SAS image and the received SAS image. The system determines whether there was tampering of the underwater vehicle based on the measure of similarity.
Portable damage control apparatus for modular networks
A modular damage control system and portable damage control apparatus for integrating damage control monitoring information with a transport vessel's centralized monitoring system. The modular damage control system includes a centralized monitoring system, portable equipment installation, at least one alarm, and a relay enclosure. The portable damage control apparatus includes at least one alarm and a relay enclosure, further comprising an external power supply, relay, end of line resistor, and alert device. The portable damage control apparatus allows for plug-and-play type integration with a centralized monitoring system, wherein the system described herein can enable the monitoring of hazards to a portable equipment installation by interfacing with a transport vessel's damage control network. The invention may also include a maritime vessel, intermodal containers, a potentiometer, discrete resistors, and an interface panel for displaying information specifying the alarm state to a crew member of the transport vessel.
Systems, devices and methods for monitoring support platform structural conditions
Systems, devices and methods enable generation and monitoring of support platform structural conditions in a manner that overcomes drawbacks associated with conventional approaches (e.g., load cells) for generating and monitoring similar operating condition information. In preferred embodiments, such systems, devices and methods utilize fiber optic strain gauges (i.e., fiber optic sensors) in place of (e.g., retrofit/data replacement) or in combination with conventional load cells. The fiber optic sensors are strategically placed at a plurality of locations on one or more support bodies of a support platform. In preferred embodiments, the fiber optic strain gauges are placed in positions within a hull and/or one or more pontoons of an offshore platform. Such positions are selected whereby resulting operating condition data generated by the fiber optic strain gauges suitably replaces data received by conventionally constructed and located load cells of an offshore platform (e.g., a TLP).
MARINE VESSEL MANEUVERING SYSTEM AND MARINE VESSEL
A marine vessel maneuvering system includes an engine and a controller configured or programmed to control a marine vessel. The controller is configured or programmed to set a control of the engine for each destination based on at least one of information indicating the destination acquired incident to a setting operation of the destination by a distributor or information indicating the destination acquired from a ground-based or sea-based base station at the destination.
MARINE VESSEL MANEUVERING SYSTEM AND MARINE VESSEL
A marine vessel maneuvering system includes an engine and a controller configured or programmed to control a marine vessel. The controller is configured or programmed to set a control of the engine for each destination based on at least one of information indicating the destination acquired incident to a setting operation of the destination by a distributor or information indicating the destination acquired from a ground-based or sea-based base station at the destination.