The present disclosure discloses a wingless hydraulic extrusion spiral rotation and forward movement type intelligent unmanned underwater vehicle, including a cabin body and a control module. The cabin body includes a power reaction cabin and a power fuel storage cabin, a power reaction cabin water supply device is fixedly arranged on the cabin body. The power reaction cabin and the power fuel storage cabin are separated by a partition plate. Power fuel in the power fuel storage cabin may enter the power reaction cabin. A tail part of the power reaction cabin is provided with a jet forward propeller. The control module is fixed on the cabin body. At least two jet rotation propellers are arranged on the cabin body. The jet rotation propeller includes a main propelling pipe, an auxiliary propelling pipe, and a jet magnification ring. The jet magnification ring includes an outer ring and an inner ring.

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.

A trimaran which includes a self-righting structure positioned near the stern that substantially raises the center of buoyancy. The trimarans two peripheral hulls are shorter than the main hull and positioned near the one end to create an unstable inverted environment wherein when inverted the vessel rests primarily on the self-righting structure and an end of the main hull, substantially raising the center of gravity and creating an unstable configuration. This causes a pitch or roll about the vessel's longitudinal axis, which continues until the vessel has returned to its more stable upright position resting on three hulls.

A method of monitoring a marine animal in a marine environment, implemented by an interrogator unit and a sensing attached to the interrogator, the method comprises deploying the sensing cable within a water column, interrogating, using the interrogator unit, the sensing cable, receiving acoustic data comprising acoustic signals generated by the marine animal, and processing, by a processor coupled to the interrogator unit, the acoustic data to detect a presence of the marine animal.

An electrically-propelled marine vehicle and method of making same, including providing a hull of the marine vehicle and mounting a submersible electric thruster to the hull. The thruster includes a stator assembly and a rotor assembly. The rotor assembly forms an internal cavity with a plurality of magnets arranged radially outwardly of the internal cavity. The stator assembly includes electrical windings that are disposed within the internal cavity of the rotor assembly. The thruster is configured to allow the internal cavity to be flooded with water when the thruster is submerged, and the electrical windings are covered by a protective barrier that prevents the flooded water from contacting the windings. The thruster of the marine vehicle is thus water cooled, and the electromotive forces provided by the windings generate sufficient thrust to propel the marine vehicle through the water.

Floating vertical wind profile sensor or LiDAR device (1) comprising a vertical wind profile sensor sensor (8) for sensing a vertical wind profile, a self-propulsion system (24) for propelling the device through a body of water, and a deployable special mark (10), actuatable to switch between a deployed state for identifying the device as a special marker buoy and an undeployed state for identifying the device as a vessel. A controller (22) is provided for switching the device (1) from a vessel mode to a buoy mode when the vessel is anchored. The controller (22) switches the special mark (10) to the deployed state when the device (1) is in the buoy mode. The method involves the floating LiDAR device (1) navigating to a target location and the buoy mode being activated while vertical wind profile data are collected.

The invention discloses an intelligent detection method for multiple types of faults for near-water bridges and an unmanned surface vehicle. The method includes an infrastructure fault target detection network CenWholeNet and a bionics-based parallel attention module PAM. CenWholeNet is a deep learning-based Anchor-free target detection network, which mainly comprises a primary network and a detector, used to automatically detect faults in acquired images with high precision. Wherein, the PAM introduces an attention mechanism into the neural network, including spatial attention and channel attention, which is used to enhance the expressive power of the neural network. The unmanned surface vehicle includes hull module, video acquisition module, lidar navigation module and ground station module, which supports lidar navigation without GPS information, long-range real-time video transmission and highly robust real-time control, used for automated acquisition of information from bridge underside.

A self-deployable apparatus for facilitating collecting data from multiple depths of water bodies. Further, the self deployable apparatus comprises a main body, substances, a sensor, a storage device, and a power source. Further, the substances in amounts are to be disposed in a second interior space of the main body for sinking the self-deployable apparatus to a depth of water body. Further, the amounts of the substances undergo a thermochemical reaction at a temperature for producing a gaseous substance. Further, a check valve of the main body expels a portion of the gaseous substance from the second interior space for rising the self-deployable apparatus to a surface of the water body. Further, the sensor generates sensor data based on detecting a parameter of a water sample. Further, the storage device stores the sensor data. Further, the power source powers the sensor and the storage device.

This document describes a system for the deployment, towing and recovery of marine equipment from a waterborne carrier, which carrier comprises a hoisting arrangement for lifting the marine equipment into the water. The system cooperates with the hoisting arrangement, and comprises a lateral deployment-recovery assembly for deployment and recovery on a lateral side of the carrier, and includes: a tow winch and an aft lateral outrigger connected to the carrier. The assembly also comprises a tow line guide and a guider winch including a guide line attachable to the tow line guide. The aft outrigger comprises a seat for the tow line guide and a sheave for the guide line to enable guiding of the tow line guide to the seat. The document also describes a method.

An electrically-powered unmanned marine vehicle and method of making same, including providing a hull of the marine vehicle and mounting a submersible electric thruster to the hull via a mounting interface of the thruster. The thruster includes a stator assembly and a rotor assembly. The rotor assembly forms an internal cavity with a plurality of magnets arranged radially outwardly of the internal cavity. The stator assembly includes electrical windings that are disposed within the internal cavity of the rotor assembly. The thruster is configured to allow the internal cavity to be flooded with water when the thruster is submerged, and the electrical windings are encapsulated with a protective barrier that prevents the flooded water from contacting the windings. The thruster of the marine vehicle is thus water cooled, and the electromotive forces provided by the windings generate sufficient thrust to propel the marine vehicle through the water.