Assessment of ship-block stacking status based on images obtained from drone and geographic information system data
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다운로드
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참고문헌
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초록
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.
Abstract
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.
참고문헌 (23)
- Cheng, S., "Deep learning based efficient ship detection from dronecaptured images for maritime surveillance", Ocean Eng, 285(2), pp.115440~ (2023)
- Cho, K. K., "A spatial scheduling system for block painting process in shipbuilding", CIRP Annals, 50(1), pp.339~342 (2001)
- Jaiswal, A. K., "Detection of ships moving in a straight line and turning with implications for wide area surveillance", Int. J. Nav. Archit. Ocean Eng, 14, pp.100452~ (2022)
- Joo, C.M, "Transporter scheduling for block transportation in the shipyard", Joint Spring Conference of MS, 2005, ~
- Jung, Y. S., "Block Transportation Management System", Master, pp.2007
- Kim, D. H., "CNN-based fire detection method on autonomous ships using composite channels composed of RGB and IR data", Int. J. Nav. Archit. Ocean Eng, 14, pp.100489~ (2022)
- Kim, S. H., "A study on GIS information system for shipbuilding yard block logistics simulation", J. Soc. Nav. Archit. Korea, 55(2), pp.116~123 (2018)
- Kim, J. O., "Development of real time location measuring and logistics system for assembled block in shipbuilding", 2009 Conference on Korean Operations Research and Management Society (2009)
- Kim, M. S., "Determination of arrangement and take-out path in ship block stockyard considering available space and obstructive block", pp.2013, Proceedings of the Society of CAD
- Koh, S. G., "A production schedule with genetic algorithm in block assembly shop", Korean Management Science Review, 13(1), pp.1~12 (1996)
- Lee, J. M., "An integrated Process and Measurement Framework for Planning Production of Large Shipyards", Doctor, pp.2007
- Lee, S. H., "Block Transportation Planning in a Shipyard", Doctor, pp.2011
- Lee, K.J, "A Spatial scheduling system and its application to shipbuilding: DAS-CURVE", Expert Systems with Applications, 10(3-4), pp.311~324 (1996)[DOI]
- Study on the positioning system for logistics of ship-block, "Lee, Y. H.", Society of Naval Architects of Korea, 68~75 (2008)
- Nam, B. W., "A study on selection of block stockyard applying decision tree learning algorithm", J. Soc. Nav. Archit. Korea, 54(5), pp.421~429 (2017)
- Park, C. K., "JIBUN(location)assignment algorithm for assembly blocks : a case of Hyundai Heavy Industries", IE Interfaces, 19(2), pp.160~167 (2006)
- Roh, M. I., "Block layout method in the block stockyard based on the genetic algorithm", Ocean Systems Engineering, 2(4), pp.271~287 (2012)
- Signor, J., "Automatic classification of biofouling images from offshore renewable energy structures using deep learning", Ocean Eng, 288(1), pp.115928~ (2023)
- Son, J. R., "A heuristic algorithm for block storage planning in shipbuilding", J. Soc. Nav. Archit. Korea, 51(3), pp.239~245 (2014)
- Song, J. H., "A study on the automatic matching algorithm of transporter and working block for block logistics management", J. Soc. Nav. Archit. Korea, 59(5), pp.314~322 (2022)
- Wang, J., "Seafloor terrain detection from acoustic images utilizing the fast two-dimensional CMLD-CFAR", Int. J. Nav. Archit. Ocean Eng, 13, pp.187~193 (2021)
- Yoo, S. Y., "Development of monitoring system for blocks transportation state of transporter", Korean Journal of Computational Design and Engineering, 26(3), pp.229~238 (2021)
- "Heron’s Formula" (2003)[URL]