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 marine vessel advisory system may be configured to calculate and provide operational information that show fuel consumption savings based on adjustment of vessel speed and/or heading. In an embodiment, the advisory system may operate real-time to collect operational and/or environmental conditions information to be used to calculate alternative operational performance of the marine vessel that will save fuel and reduce emissions. The calculations may include a simulation, machine learning, and/or artificial intelligence to determine a speed and/or heading of the marine vessel that will reduce fuel consumption. The advisory system may display the computed information for the operator, and the operator may elect to switch to the alternative operating parameters (e.g., slower speed).

Abstract: A marine vessel advisory system may be configured to calculate and provide operational information that show fuel consumption savings based on adjustment of vessel speed and/or heading. In an embodiment, the advisory system may operate real-time to collect operational and/or environmental conditions information to be used to calculate alternative operational performance of the marine vessel that will save fuel and reduce emissions. The calculations may include a simulation, machine learning, and/or artificial intelligence to determine a speed and/or heading of the marine vessel that will reduce fuel consumption. The advisory system may display the computed information for the operator, and the operator may elect to switch to the alternative operating parameters (e.g., slower speed).

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 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 advisory system may be configured to calculate and provide operational information that show fuel consumption savings based on adjustment of vessel speed and/or heading. In an embodiment, the advisory system may operate real-time to collect operational and/or environmental conditions information to be used to calculate alternative operational performance of the marine vessel that will save fuel and reduce emissions. The calculations may include a simulation, machine learning, and/or artificial intelligence to determine a speed and/or heading of the marine vessel that will reduce fuel consumption. The advisory system may display the computed information for the operator, and the operator may elect to switch to the alternative operating parameters (e.g., slower speed).

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 integrated tow system may include one or more unmanned towboat modules that may be used to improve maneuvering of tows on an inland waterway, such as a river. To reduce environmental stresses on operators, a command module that includes control and communications equipment for controlling operation of the unmanned towboat modules may provide living quarters for the operators, but not include a propulsion system for maneuvering a tow. The control and communication equipment may monitor for rotation commands by an operator that exceed rotational capabilities of the unmanned towboat modules, and provide for non-linear controls that include changing position of a rotational point that is centrally located longitudinally along the tow so as to provide for 1:1 rotational control of the tow by a tow drive system (e.g., bow and stern unmanned towboat modules). River tracking and river parking features may be supported by the control and communications equipment.

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.