Assessment of ship-block stacking status based on images obtained from drone and geographic information system data

• Published in: International journal of naval architecture and ocean engineering 2024, 15(0), , pp.1-8
• Main Authors: Han, Young-Soo, Lee, Kyungho, Nam, Byeongwook, Kim, Yang Ouk, Kim, Youngsu, Yeo, Hyeon-Bin
• Format: Article
• Language: English
• Subjects: Block stockyard occupancy; Block transporter; Geographic Information System (GIS); Shipyard; 조선공학
• ISSN: 2092-6782; 2092-6790
• DOI: 10.1016/j.ijnaoe.2024.100583

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. •In order to carry out a smooth ship production process, ship blocks must be stacked at designated locations. In this study, the following research was conducted to accurately and effectively monitor the block stock status.•Block stock area extraction method from drone-based image information.•Recognizing blocks in the stock area to calculate the load factor and stock area occupancy.•Verify effectiveness of the shipyard block storage monitoring in shipyards.