A monitor device includes a memory, a hardware mount configured to attach to a rigging member, a motion sensor configured to detect a first motion characteristic of the rigging member, and a processor operatively coupled to the memory and to the motion sensor. The processor is configured to receive the first motion characteristic from the motion sensor. The processor is further configured to send the first motion characteristic to a controller. The controller is configured to receive a second motion characteristic generate an output for a display based on the first motion characteristic and the second motion characteristic.

The disclosure relates to a method of applying a coating to an external surface of a man-made object to be at least partly immersed in water (e.g. a vessel or an offshore drilling station) for a time period wherein there is relative movement between the immersed object and the water. The applied coating has a minimal resistance rating for a set of coatings. The method comprises a computer-implemented coating selection process, which comprises a first steps of obtaining, for each coating in the set of coatings, a total roughness value of the external surface based on a fouling roughness value, a macro roughness value and a micro roughness value associated with each coating. The coating selection process comprises in a second step selecting a coating from the set of coatings, wherein the selected coating has a minimal resistance rating associated with the obtained total roughness value for the time period. The method further comprises applying the selected coating to the external surface of the man-made object.

An exemplary method for a marine vessel having a propeller mounted to a rotatable shaft for converting rotative shaft power transferred from the shaft to the propeller into thrust to propel the marine vessel across water, includes obtaining measurement values that are descriptive of the shaft power, the thrust and speed through water of the marine vessel; separately estimating at least one of first excess shaft power caused by fouling of the propeller and second excess shaft power caused by fouling of the hull of the marine vessel; and issuing an indication of propeller cleaning in dependence of the first excess shaft power and hull cleaning in dependence of the second excess shaft power.

A membrane welding device guide system according to the present invention comprises: an anchor strip arranged on an insulation wall which configures an insulation system of a liquefied gas storage tank; a stud integrally formed with the anchor strip, the center of the stud deviating from a welding line of the anchor strip; and a guide rail which is coupled to the stud to form a path of an automatic membrane welding device for welding a membrane to be stacked on the insulation wall. Therefore, the present invention allows membrane welding to be easily performed and allows a membrane welding device to be stably guided.

The present disclosure relates to pontoon shields. The pontoon shields disclosed herein may, for example, protect pontoons from damage and/or enhance the aesthetic appearance of pontoons. The shields may be fashioned from one or more segments of resilient material configured to attach along a longitudinal aspect of a pontoon. The shields may be fashioned from a single segment, or from one or more segments configured to mate with one another. The shields may be attached to a pontoon, for example, via an adhesive, weld, and/or one or more brackets, or other mechanical means.

A system (102) is configured to monitor energy usage of a surface maritime vessel (100). The system comprises a device (102A) configured to receive characteristic data representing at least one operating characteristic of the vessel, and a device (102A) configured to receive model data representing at least one energy usage model for the vessel. The system further includes a device (102A) configured to process the characteristic data and the model data to generate an output representing a comparison between the characteristic data and the model data.

A method and a system for ship stability prediction by weighted fusion of RBFNN and random forest based on GD are provided. Firstly, input characteristics when predicting failure probabilities under different failure modes are determined through prior knowledge. Secondly, a mean square error of k-fold cross-validation is used as performance evaluation criterion of the RBFNN and the RF to search for model capacities of the RBFNN and the RF. Then, network parameters of the RBFNN are updated. Multiple random sample sets are generated using a bootstrap sampling method and are parallelly trained to generate multiple regression trees. A Gini index is used as an attribute division index, and a prediction result of the random forest is obtained. Finally, weight coefficients are introduced for weighted fusion of prediction results of the RBFNN and the RF. The weight coefficient is obtained by solving through iterative optimization of the gradient descent.

A method and a system for ship stability prediction by weighted fusion of RBFNN and random forest based on GD are provided. Firstly, input characteristics when predicting failure probabilities under different failure modes are determined through prior knowledge. Secondly, a mean square error of k-fold cross-validation is used as performance evaluation criterion of the RBFNN and the RF to search for model capacities of the RBFNN and the RF. Then, network parameters of the RBFNN are updated. Multiple random sample sets are generated using a bootstrap sampling method and are parallelly trained to generate multiple regression trees. A Gini index is used as an attribute division index, and a prediction result of the random forest is obtained. Finally, weight coefficients are introduced for weighted fusion of prediction results of the RBFNN and the RF. The weight coefficient is obtained by solving through iterative optimization of the gradient descent.

An exemplary sensor device provides marine vessel data of a marine vessel without integration to the marine vessel's information systems. The sensor device includes a receiver configured to receive at least position and time information relating to the marine vessel. At least one sensor is configured to measure marine vessel performance data. The at least one sensor can measure the marine vessel performance data when the sensor device is affixed to the hull structure of the marine vessel. At least one processor is configured to perform frequency analysis of the measured marine vessel performance data and to generate marine vessel data based on the received at least position and time information and the frequency analyzed marine vessel performance data.

The present invention relates to an automatic welding system for a corrugated membrane sheet of a membrane type liquefied-gas cargo hold, a structure for guiding and fixing an automatic welding apparatus for a corrugated membrane sheet of a membrane type liquefied-gas cargo hold, and a structure for guiding an automatic welding apparatus for a corrugated membrane sheet of a membrane type liquefied-gas cargo hold. When a corrugated membrane sheet is welded, a cross-anchor strip having a fixing groove is installed on a portion where longitudinal and lateral anchor strips, which are attached to the upper surface of a heat insulating panel on which the corrugated membrane sheet is mounted, cross each other, which makes it possible to install a welding guide that supports the automatic welding apparatus and guides movement of the automatic welding apparatus using the fixing groove, thereby stably performing automatic welding on the corrugated membrane sheet.