A first permissible operating range of the self-elevating vessel is determined based on a first structural analysis of the self-elevating vessel under a first set of conditions. A structural utilization ratio of the self-elevating vessel is determined based on a second structural analysis of the self-elevating vessel under first and second sets of conditions. Safety of lowering the self-elevating vessel from an elevated state to a first hull draft level is determined when the structural utilization ratio is less than a predetermined value. Safety of lowering the self-elevating vessel from the first hull draft level to a second hull draft level is indicated when positional displacement data obtained while the vessel is at the first hull draft level indicates that the positional displacement of the self-elevating vessel while at the first hull draft level is within the first permissible operating range.

An estimation method executed by a computer, the estimation method includes estimating a fouling degree of a target ship based on an accumulation period since a most recent maintenance on the target ship; selecting, as training data, one piece of data that has a fouling degree that resembles the estimated fouling degree, from among a plurality of pieces of data, when generating a machine learning model for estimating an amount of fuel consumption due to navigation; and generating the machine learning model based on the selected training data.

A method comprising scanning at least one portion a hull of a vessel positioned below a waterline while the vessel is floating in water. The method further comprises generating multi-dimensional scans of the at least one portion of the hull based on data acquired during the scanning, generating a 3-dimensional (3D) model of the at least one portion of the hull, analyzing the 3D model to identify one or more features of the hull of the vessel below the waterline, generating docking information for drydocking the vessel based on the one or more features of the hull, and identifying, based on the generated docking information, a docking plan for supporting the vessel when the vessel is supported out of the water. The method further comprises outputting instructions to dry dock the vessel.

A method comprising scanning at least one portion a hull of a vessel positioned below a waterline while the vessel is floating in water. The method further comprises generating multi-dimensional scans of the at least one portion of the hull based on data acquired during the scanning, generating a 3-dimensional (3D) model of the at least one portion of the hull, analyzing the 3D model to identify one or more features of the hull of the vessel below the waterline, generating docking information for drydocking the vessel based on the one or more features of the hull, and identifying, based on the generated docking information, a docking plan for supporting the vessel when the vessel is supported out of the water. The method further comprises outputting instructions to dry dock the vessel.

An apparatus, method and computer readable medium, the method comprising: obtaining raw maritime data from a plurality of sources, the raw maritime data indicative of a geolocation of vessels at different times and comprises duplicative data obtained from separate sources; analyzing the raw maritime data to produce for each vessel a vessel story comprising a set of activities and corresponding timestamps, wherein the set of activities associated with each vessel is smaller by at least one order of magnitude than the raw maritime data associated with the each vessel; identifying a pattern in the vessel story associated with a vessel, wherein the pattern conforms with a risk event; and validating the risk event using the raw maritime data or vessel stories, whereby identifying the risk event using reduced resources than required to identify the risk event in the raw maritime data, and without increasing false positive metrics.

The present disclosure provides a system and method for monitoring a floating vessel hull mooring system by determining one or more hull rotational motions of yaw, roll, and/or pitch that do not require independent knowledge of environmental conditions. The hull rotational motion of a secure and intact mooring system can be calculated and/or established experientially over time by measuring movement of the hull to characterize the hull rotational motion at given geographical positions. A compromised mooring system will result in different hull rotational motion of at least one of yaw, roll, and/or pitch. By monitoring the hull rotational motion for a given geographical position to be compared to the theoretical values (and/or previous recorded values), it is then possible to assess that at least a portion of the mooring system has been compromised and in at some embodiment indicate which portion of the mooring system has been compromised.

The present disclosure provides a system and method for monitoring a floating vessel hull mooring system by determining one or more hull rotational motions of yaw, roll, and/or pitch that do not require independent knowledge of environmental conditions. The hull rotational motion of a secure and intact mooring system can be calculated and/or established experientially over time by measuring movement of the hull to characterize the hull rotational motion at given geographical positions. A compromised mooring system will result in different hull rotational motion of at least one of yaw, roll, and/or pitch. By monitoring the hull rotational motion for a given geographical position to be compared to the theoretical values (and/or previous recorded values), it is then possible to assess that at least a portion of the mooring system has been compromised and in at some embodiment indicate which portion of the mooring system has been compromised.

Objects of the present invention are provide as evaluation method of ship propulsive performance in actual seas, an evaluation program of ship propulsive performance in actual seas and an evaluation. system of ship propulsive performance in actual seas capable of precisely evaluating ship propulsive performance in actual seas on the same scale also before the ship sails for example. As solving means of the objects, a standard sailing model 2 of the ship in actual seas is set, a sailing condition of the ship and a ship condition of the ship are input to the standard sailing model 2, the standard sailing model 2 into which the sailing condition and the ship condition are input and the ship condition are applied to a previously verified calculating method 1 of ship performance is actual seas, and ship propulsive performance in actual seas is evaluated.

Objects of the present invention are provide as evaluation method of ship propulsive performance in actual seas, an evaluation program of ship propulsive performance in actual seas and an evaluation. system of ship propulsive performance in actual seas capable of precisely evaluating ship propulsive performance in actual seas on the same scale also before the ship sails for example. As solving means of the objects, a standard sailing model 2 of the ship in actual seas is set, a sailing condition of the ship and a ship condition of the ship are input to the standard sailing model 2, the standard sailing model 2 into which the sailing condition and the ship condition are input and the ship condition are applied to a previously verified calculating method 1 of ship performance is actual seas, and ship propulsive performance in actual seas is evaluated.

The invention relates to marine vessel safety system which ensures that a marine vessel enters a safe state in the event of at least one malfunction in any vessel operation systems and components of the marine vessel. The marine vessel safety system comprises at least one vessel monitoring system, at least one malfunction evaluation system and a safe-state control system.