The disclosed method measures a line angle of a mooring line connected to a floating object floating in a body of water, the mooring line being connected between the floating object and an anchoring body disposed in a bed of the body of water, in which the floating object is coupled to the mooring line by a line connector. The method includes: defining at least three data points each associated with a respective location on the mooring line; on the data points obtaining a value associated with the location on the mooring line; determining parameters of an equation describing an anchor line curve from the values associated with the location on the mooring line for the data points; calculating at a predetermined position on the mooring line a line angle of the mooring line from a derivative of the equation at the predetermined position based on the parameters.

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.

The present invention discloses a vessel power safety control system and operating method thereof. The vessel power safety control system includes a load power management module, a real-time monitoring module, an integration module and a power module. The present invention can assist the autonomous ship as any occurrence of fault during navigation. Once the accident occurs, the load power management module will give an instruction to control the DC bus to switch from closed circuit to open circuit to protect other equipment. After determining whether the errors of the equipment on board is eliminated, the load power management system performs automatic system reset procedure. As such, the DC bus can be converted from an open circuit to a closed circuit to restart the power supply for the facility.

The present invention discloses a vessel power safety control system and operating method thereof. The vessel power safety control system includes a load power management module, a real-time monitoring module, an integration module and a power module. The present invention can assist the autonomous ship as any occurrence of fault during navigation. Once the accident occurs, the load power management module will give an instruction to control the DC bus to switch from closed circuit to open circuit to protect other equipment. After determining whether the errors of the equipment on board is eliminated, the load power management system performs automatic system reset procedure. As such, the DC bus can be converted from an open circuit to a closed circuit to restart the power supply for the facility.

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.

A computer implemented method and apparatus for a marine vessel data system, the method comprising: receiving data from at least one sensor configured to measure vibration and operationally arranged to the marine vessel to provide time-domain reference sensor data; maintaining the time-domain reference sensor data within a data storage system; generating a Fast Fourier Transform (FFT) on the time-domain reference sensor data to provide a plurality of reference spectra files in frequency-domain, wherein each reference spectra file comprises spectra data defined by amplitude information and frequency information, and each spectra file is associated with condition information determined based on collection of the time-domain reference sensor data; normalizing each reference spectra file by converting the frequency information to order information using the condition information to provide normalized reference spectra files; and training a convolutional autoencoder type of neural network using the normalized reference spectra files.

A method and system for prediction of wave properties include collecting time series data streams from one or more wave measurement devices and processing the data using a wave-prediction algorithm to identify the frequency components of the data and compute wave parameters. The wave-field is propagated in space and time to predict wave height, speed, and velocity at a target location. A sliding window approach is used to continuously update the prediction in real-time.

An apparatus and method of measuring, monitoring, recording and verifying the uptake and discharge of ballast water on marine vessels to ensure that they comply with the ballast water discharge standards set by international bodies, the apparatus includes an arrangement of small sampling pipes, valves, sampling pump, flow meter, Ballast Water Monitor, Ballast Water Sensors Module and Controller. The method comprises measuring the concentration of the bacteria and pathogens in the sampled ballast water during ballasting and de-ballasting by the Ballast Water Monitor and compared against the regulatory standards and historical data of similar ship data and ballast water data. The method also identifies and isolates specific ballast water tank that holds non-compliant ballast water so that when compliant water is available, the non-complaint ballast water shall be flushed out from the identified specific ballast water tank with the compliant water. All information are saved in a secure, tamper-proof and encrypted format so that they are verifiable and traceable to ensure that no non-compliance ballast water has been discharged overboard at ports at all times.

An apparatus and method of measuring, monitoring, recording and verifying the uptake and discharge of ballast water on marine vessels to ensure that they comply with the ballast water discharge standards set by international bodies, the apparatus includes an arrangement of small sampling pipes, valves, sampling pump, flow meter, Ballast Water Monitor, Ballast Water Sensors Module and Controller. The method comprises measuring the concentration of the bacteria and pathogens in the sampled ballast water during ballasting and de-ballasting by the Ballast Water Monitor and compared against the regulatory standards and historical data of similar ship data and ballast water data. The method also identifies and isolates specific ballast water tank that holds non-compliant ballast water so that when compliant water is available, the non-complaint ballast water shall be flushed out from the identified specific ballast water tank with the compliant water. All information are saved in a secure, tamper-proof and encrypted format so that they are verifiable and traceable to ensure that no non-compliance ballast water has been discharged overboard at ports at all times.

A system for alleviating variations in torsional loads applied to a shaft coupled to a main engine of a marine vessel, said shaft is coupled to a propeller of the marine vessel, the system comprising an electric motor-generator configured to provide power to the shaft or take out power from the shaft; a controller coupled to the electric motor-generator said controller is configured to execute instructions, comprising: measuring a group of values that are indicative of torsional loads applied on a shaft of the marine vessel over time; creating a time-based series of values that represent a predictive time-based torsional loads on the marine vessel; collecting readings indicative of power provided by a main engine of the marine vessel; computing an intervention time series of power values to be outputted by the electric motor-generator; wherein the electrical power outputs the intervention time series values of power to the shaft.