Abstract: A machine and process for remotely controlling a vessel. The system may include a land-based computing system configured to communicate control signals via a communications system that communicates the control signals to the vessel and a controller network on the vessel configured to control at least certain functions of the vessel. The controller network may further be configured to receive the control signals from the land-based computing system. The controller may include a switch including an input port and multiple output ports. A remote control computing device may be configured to control the vessel via at least one other computing device. A one-way Ethernet cable may be communicatively coupled between one of the output ports of the switch and the remote control computing device. The control signals may be received by the switch being communicated to the remote control computing device via the one-way Ethernet cable.

Abstract: An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

Abstract: An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

Abstract: An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

Abstract: A machine and process for remotely controlling a vessel. The system may include a land-based computing system configured to communicate control signals via a communications system that communicates the control signals to the vessel and a controller network on the vessel configured to control at least certain functions of the vessel. The controller network may further be configured to receive the control signals from the land-based computing system. The controller may include a switch including an input port and multiple output ports. A remote control computing device may be configured to control the vessel via at least one other computing device. A one-way Ethernet cable may be communicatively coupled between one of the output ports of the switch and the remote control computing device. The control signals may be received by the switch being communicated to the remote control computing device via the one-way Ethernet cable.

Abstract: A marine vessel may include thrusters, an electrical system, and multiple flywheels (i) to supply electrical power to the electrical system and (ii) to stabilize marine vessel roll and/or pitch angle. A flywheel controller may be configured to control electrical power output from the flywheels to the electrical system, and control axis of rotation of one or more rotors of respective flywheels to compensate for roll and/or pitch angles of the marine vessel. A method of powering and stabilizing a marine vessel may include supplying, by flywheels, electrical power to an electrical system to supply electrical power to thrusters and electrical equipment. Flywheel(s) may be used to stabilize marine vessel roll and/or pitch angle. Electrical power output may be controlled from the flywheels to the electrical system. Axis of rotation of one or more flywheel rotors may be controlled to compensate for roll and/or pitch angles of the marine vessel.

Abstract: An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

Abstract: A marine vessel including a hybrid propulsion system including one or more diesel engines and electrically-driven thrusters. A hybrid propulsion management system may be configured to manage the hybrid propulsion system during free-floating, stationary operations by executing an embedded power simulation and control function that performs a real-time simulation to determine minimum RPM requirements of the diesel engine(s) for each power bus (e.g., electrical buses to which the electrically-driven thrusters are electrically connected) to fulfill a stationary position holding objective by the hybrid propulsion system of the marine vessel. By determining minimum RPM requirements for the diesel engine(s), reduced fuel consumption and emissions may be achieved, while ensuring safety of the marine vessel, closely located structures, and people.