US 11,719,543 B2
Course guidance method for efficient sailing of ship
Hyung Jin Song, Seoul (KR); Dong Il Park, Dongducheon-si (KR); and Ji Goo Kim, Incheon (KR)
Assigned to SEAVANTAGE LTD., Seoul (KR)
Appl. No. 17/434,982
Filed by SEAVANTAGE LTD., Seoul (KR)
PCT Filed Jan. 23, 2020, PCT No. PCT/KR2020/001144
§ 371(c)(1), (2) Date Aug. 30, 2021,
PCT Pub. No. WO2020/189888, PCT Pub. Date Sep. 24, 2020.
Claims priority of application No. 10-2019-0031604 (KR), filed on Mar. 20, 2019.
Prior Publication US 2022/0146266 A1, May 12, 2022
Int. Cl. G06V 10/82 (2022.01); G01C 21/34 (2006.01); G01C 21/32 (2006.01); G01C 21/20 (2006.01); H04W 4/024 (2018.01); G08G 3/00 (2006.01); G06F 18/23 (2023.01); G06F 16/29 (2019.01)
CPC G01C 21/203 (2013.01) [G06F 18/23 (2023.01); G08G 3/00 (2013.01); H04W 4/024 (2018.02); G01C 21/32 (2013.01); G06F 16/29 (2019.01)] 4 Claims
OG exemplary drawing
 
1. A course guidance method for efficient sailing of a ship, the course guidance method being performed by a ship's course guidance system; the course guidance method comprising:
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 a 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,
wherein:
at the per-ship location information extraction step, location information is extracted for each International Maritime Organization (IMO) number of a corresponding ship;
at the ship location plotting step, an overall area of the electronic navigational chart is segmented into square-shaped cells having a predetermined size, and a main point selection area formed along a boundary line of each of the cells and also formed to have a predetermined area in a direction of a center of the cell from the boundary line of the cell is included in the cell;
at the clustering step points present in the main point selection area are clustered, the clustered points are extracted as main points and main points present n the same main point selection area are analyzed on a per-time basis and classified into entry and exit points;
at the course network generation step, a course network is generated by connecting the entry and exit points, in which case the location of the ship based on the location information is incorporated into the course network; and
at the recommended course acquisition step, a recommended course is selected from a plurality of generated course networks by taking into consideration at least one of a shortest condition and an obstacle condition, the shortest condition includes at least one of a movement distance and movement time of the ship, and the obstacle condition includes at least one of weather information and dangerous area information.