Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Disclosed herein is a course guidance method for the efficient sailing of a ship. The course guidance method for the efficient sailing of a ship is performed by a ship's course guidance system, and may include: a per-ship location information extraction step of extracting location information for each ship from collected Auto Identification System (AIS) data; a ship location plotting step of plotting the location of the ship based on the location information on an electronic navigational chart; a clustering step of clustering points located within a predetermined area among a plurality of points plotted on the electronic navigational chart; a course network generation step of generating ship course networks using the clustered points; and a recommended course acquisition step of acquiring a recommended course for each ship based on the generated ship course networks.

Disclosed herein is a course guidance method for the efficient sailing of a ship. The course guidance method for the efficient sailing of a ship is performed by a ship's course guidance system, and may include: a per-ship location information extraction step of extracting location information for each ship from collected Auto Identification System (AIS) data; a ship location plotting step of plotting the location of the ship based on the location information on an electronic navigational chart; a clustering step of clustering points located within a predetermined area among a plurality of points plotted on the electronic navigational chart; a course network generation step of generating ship course networks using the clustered points; and a recommended course acquisition step of acquiring a recommended course for each ship based on the generated ship course networks.

The present invention provides a system, apparatus, and method for harvesting objects from the bottom of aquatic environments. The invention preferably provides a system, apparatus, and method for utilizing swarms of autonomous harvesting vehicles to harvest polymetallic nodules from the ocean floor.

In order to provide a protection monitoring system that comprises a warning function to which it is not easy to become habituated, and that can call attention at the time when abnormal vibration is sensed even without a cable undergoing failure, the protection monitoring system according to an embodiment of the present invention comprises an optical fiber provided along a long infrastructure element installed in water or on a seabed, an interrogator for acquiring environment information at positions along the long infrastructure element using the optical fiber, an abnormal event detection means for detecting an abnormal event around the positions when the environment information acquired at the positions satisfies an abnormality pattern provided in advance, and a notification means for issuing a notice to a ship positioned in a prescribed range from a position in which the abnormal event is detected.

The present invention relates to a vessel data integration system and a vessel comprising same. Accordingly, the present invention preferably comprises: a first vessel data conversion device for converting first vessel data which have a non-standard format and are received from first equipment; a second vessel data conversion device for converting second vessel data which have a standard format and are received from second equipment; a data processing device for classifying, by type, the integrated vessel data received from the vessel data conversion device; a complex event processing (CEP) device for filtering out integrated vessel data, which needs to be transmitted in real-time; and a real-time data transmission device for transmitting in real-time the integrated vessel data.

The present invention relates to a vessel data integration system and a vessel comprising same. Accordingly, the present invention preferably comprises: a first vessel data conversion device for converting first vessel data which have a non-standard format and are received from first equipment; a second vessel data conversion device for converting second vessel data which have a standard format and are received from second equipment; a data processing device for classifying, by type, the integrated vessel data received from the vessel data conversion device; a complex event processing (CEP) device for filtering out integrated vessel data, which needs to be transmitted in real-time; and a real-time data transmission device for transmitting in real-time the integrated vessel data.

Disclosed herein is a course guidance method for the efficient sailing of a ship. The course guidance method for the efficient sailing of a ship is performed by a ship's course guidance system, and may include: a per-ship location information extraction step of extracting location information for each ship from collected Auto Identification System (AIS) data; a ship location plotting step of plotting the location of the ship based on the location information on an electronic navigational chart; a clustering step of clustering points located within a predetermined area among a plurality of points plotted on the electronic navigational chart; a course network generation step of generating ship course networks using the clustered points; and a recommended course acquisition step of acquiring a recommended course for each ship based on the generated ship course networks.

Disclosed herein is a course guidance method for the efficient sailing of a ship. The course guidance method for the efficient sailing of a ship is performed by a ship's course guidance system, and may include: a per-ship location information extraction step of extracting location information for each ship from collected Auto Identification System (AIS) data; a ship location plotting step of plotting the location of the ship based on the location information on an electronic navigational chart; a clustering step of clustering points located within a predetermined area among a plurality of points plotted on the electronic navigational chart; a course network generation step of generating ship course networks using the clustered points; and a recommended course acquisition step of acquiring a recommended course for each ship based on the generated ship course networks.