A system for monitoring a physical change of a marine structure includes a complex optical measuring instrument configured to detect a behavior and structural change of the marine structure by using at least one optical sensor by means of optical fiber Bragg grating.

Systems and methods and described herein that can enable accurate forecasting of ship motions and the useful displaying of such forecasts to users. In general, the ship motion forecasting systems and methods provide users with graphical indication of ship motion forecasts in the form of operational period indicators. These operational period indicators are generated such that the ship motion forecasts under at least one motion threshold for a time period exceeding a time threshold are indicated in a first way, while ship motion forecasts not under the at least one motion threshold for the time period exceeding the time threshold are indicated in a second way, different from the first way. This can facilitate the quick determination of operational status by a user and thus allow a user to quickly ascertain when conditions are likely to be such that certain ship operations can be safely performed.

Provided are techniques for monitoring a moving vessel using a detachable drone coupled to the moving vessel. An event is identified that triggers detachment of the detachable drone from the moving vessel. The detachable drone is detached from the moving vessel. The detachable drone is moved to a predetermined location. A beacon based on beacon data is transmitted from the detachable drone. In response to the detachable drone receiving a request for the data, data collected from monitoring the moving vessel is delivered.

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.

Method, system and product for risk event identification in maritime data and usage thereof. Ram maritime data is analyzed to produce for each vessel a vessel story. The vessel story comprises a set of activities and corresponding timestamps, that are deduced from the raw maritime data. A pattern, that conforms with a risk event, in the vessel story associated with a vessel. The risk event is validated using the raw maritime data or using one or more vessel stories. So, the risk event is identified using reduced resources in comparison with resources required to identify the risk event in the raw maritime data, and without increasing false positive metrics. Additionally, or alternatively, a pattern, that conforms with a risk event, in the vessel story associated with a first vessel is identified. The risk event is validated using the vessel story associated with a second vessel. So, the risk event is identified using reduced resources in comparison with resources required to identify the risk event in the raw maritime data without increasing false positive metrics.

Various implementations described herein are directed to technologies for capturing marine electronics data. An apparatus includes a processor and a memory having a plurality of executable instructions that are executed by the processor. The processor receives a first request to capture data. The processor generates a command in response to the first request. The processor sends the command across a network to one or more devices capable of responding to the command. The command may include at least timestamp data and a second request for each of the one or more devices to collect data that each of the one or more devices is configured to collect.

Systems and methods are for monitoring underwater impacts to marine propulsion devices. The systems can comprise a marine propulsion device that is trimmable up and down about a trim axis; a trim sensor that senses at least one of a current trim position of the marine propulsion device relative to the trim axis and a rate at which the marine propulsion device is trimmed relative to the trim axis; and a controller that is configured to compare the rate at which the marine propulsion device is trimmed relative to the trim axis to a stored threshold value to thereby determine whether an underwater impact to the marine propulsion device has occurred.

A system that controls an impact load resulting from a fluid under an internal/external force is provided. The system senses an impact load, of a fluid under an internal/external force and attenuates the impact load. The present invention includes a floating means arranged horizontally inside an amount of fluid in an open space or in a sealed interior, a position adjustment means is vertically connected to the floating means and positioned inside the fluid, a sensing means disposed inside the fluid, on the floating means, the position adjustment means, or a structure in the periphery senses a measurement object. A controller predicts/monitors and predicts/controls fluid dynamics-related forces, hull stress, six-degree-of-freedom movements, and positions in connection with a transportation means or maritime structure. The floating means, the position adjustment means, and the sensing means are installed thereon, and use the value from the measurement object transmitted from the sensing means.

A ship's speed meter for measuring a speed relative to the water of a ship 10, the ship's speed meter including a wave transmitter 1 for emitting a sound wave toward a sea bottom 20, a wave receiver 2 for detecting a plurality of reflected waves, which are reflected waves of the sound wave having been emitted from the wave transmitter 1, reflected by a plurality of reflecting objects 30 positioned at different water depths, and an arithmetic processing unit 4 for calculating a ship's speed relative to the water of the ship 10 based on a frequency difference of the sound wave and the reflected wave. The arithmetic processing unit 4 obtains a change rate of a current velocity in a water depth direction by obtaining current velocities at a plurality of different water depths based on a frequency difference between the sound wave and the plurality of reflected waves, and calculates a current velocity at a water depth at which the change rate is smaller than or equal to a threshold value as the ship's speed relative to the water of the ship 10.