Assessment of ship-block stacking status based on images obtained from drone and geographic information system data
Ships are constructed using the shipbuilding method, which involves several blocks. Every block produced in each unit process features a different production speed depending on the block shape, number of members used, and process complexity. Consequently, the blocks produced in one process is stored...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | International Journal of Naval Architecture and Ocean Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2092678224000025 |
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| author | Young-Soo Han Kyungho Lee Byeongwook Nam Yang Ouk Kim Youngsu Kim Hyeon-Bin Yeo |
| author_facet | Young-Soo Han Kyungho Lee Byeongwook Nam Yang Ouk Kim Youngsu Kim Hyeon-Bin Yeo |
| author_sort | Young-Soo Han |
| collection | DOAJ |
| description | Ships are constructed using the shipbuilding method, which involves several blocks. Every block produced in each unit process features a different production speed depending on the block shape, number of members used, and process complexity. Consequently, the blocks produced in one process is stored in the stockyard for the next process operation. As the number of blocks stacked in the stockyard increases, the movement of the blocks and that of their transporters increase, thus resulting in an increase in operating costs. Hence, we propose a method for monitoring the block storage status based on drone images and shipyard Geographic Information System (GIS) information to support the efficient use of block stockyards. Shipyard GIS information is mapped onto the image acquired from the drone, and the area of the stacked block is detected in the image. The block storage area and storage load factor of the stockyard are calculated using the saved block areas and shipyard GIS information. By evaluating shipyard stockyards, we confirmed the possibility of monitoring the status of shipyard block storage based on drone images and GIS information. |
| format | Article |
| id | doaj-art-4d3ef6bda97f41568c92c5c7078e237c |
| institution | OA Journals |
| issn | 2092-6782 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Naval Architecture and Ocean Engineering |
| spelling | doaj-art-4d3ef6bda97f41568c92c5c7078e237c2025-08-20T02:00:12ZengElsevierInternational Journal of Naval Architecture and Ocean Engineering2092-67822024-01-011610058310.1016/j.ijnaoe.2024.100583Assessment of ship-block stacking status based on images obtained from drone and geographic information system dataYoung-Soo Han0Kyungho Lee1Byeongwook Nam2Yang Ouk Kim3Youngsu Kim4Hyeon-Bin Yeo5Industrial Science & Technology Research Institute, INHA University, Incheon, Republic of KoreaDepartment of Naval Architect and Ocean Engineering, INHA University, Incheon, Republic of Korea; Corresponding author.Samsung Heavy Industries, Seongnam-si, Gyeonggi-do, Republic of KoreaDepartment of Naval Architect and Ocean Engineering, INHA University, Incheon, Republic of KoreaDepartment of Naval Architect and Ocean Engineering, INHA University, Incheon, Republic of KoreaDepartment of Naval Architect and Ocean Engineering, INHA University, Incheon, Republic of KoreaShips are constructed using the shipbuilding method, which involves several blocks. Every block produced in each unit process features a different production speed depending on the block shape, number of members used, and process complexity. Consequently, the blocks produced in one process is stored in the stockyard for the next process operation. As the number of blocks stacked in the stockyard increases, the movement of the blocks and that of their transporters increase, thus resulting in an increase in operating costs. Hence, we propose a method for monitoring the block storage status based on drone images and shipyard Geographic Information System (GIS) information to support the efficient use of block stockyards. Shipyard GIS information is mapped onto the image acquired from the drone, and the area of the stacked block is detected in the image. The block storage area and storage load factor of the stockyard are calculated using the saved block areas and shipyard GIS information. By evaluating shipyard stockyards, we confirmed the possibility of monitoring the status of shipyard block storage based on drone images and GIS information.http://www.sciencedirect.com/science/article/pii/S2092678224000025Block transporterBlock stockyard occupancyGeographic Information System (GIS)Shipyard |
| spellingShingle | Young-Soo Han Kyungho Lee Byeongwook Nam Yang Ouk Kim Youngsu Kim Hyeon-Bin Yeo Assessment of ship-block stacking status based on images obtained from drone and geographic information system data International Journal of Naval Architecture and Ocean Engineering Block transporter Block stockyard occupancy Geographic Information System (GIS) Shipyard |
| title | Assessment of ship-block stacking status based on images obtained from drone and geographic information system data |
| title_full | Assessment of ship-block stacking status based on images obtained from drone and geographic information system data |
| title_fullStr | Assessment of ship-block stacking status based on images obtained from drone and geographic information system data |
| title_full_unstemmed | Assessment of ship-block stacking status based on images obtained from drone and geographic information system data |
| title_short | Assessment of ship-block stacking status based on images obtained from drone and geographic information system data |
| title_sort | assessment of ship block stacking status based on images obtained from drone and geographic information system data |
| topic | Block transporter Block stockyard occupancy Geographic Information System (GIS) Shipyard |
| url | http://www.sciencedirect.com/science/article/pii/S2092678224000025 |
| work_keys_str_mv | AT youngsoohan assessmentofshipblockstackingstatusbasedonimagesobtainedfromdroneandgeographicinformationsystemdata AT kyungholee assessmentofshipblockstackingstatusbasedonimagesobtainedfromdroneandgeographicinformationsystemdata AT byeongwooknam assessmentofshipblockstackingstatusbasedonimagesobtainedfromdroneandgeographicinformationsystemdata AT yangoukkim assessmentofshipblockstackingstatusbasedonimagesobtainedfromdroneandgeographicinformationsystemdata AT youngsukim assessmentofshipblockstackingstatusbasedonimagesobtainedfromdroneandgeographicinformationsystemdata AT hyeonbinyeo assessmentofshipblockstackingstatusbasedonimagesobtainedfromdroneandgeographicinformationsystemdata |