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Abstract In a shipyard, blocks are controlled by connecting the crane and block with wires during block erection. During block lifting, if a block is not carefully controlled, it will cause damage. Block lifting using crane operation is performed by controlling the number of wires, hooks, and equalizers. Consequently, predicting stable block lifting is difficult. In this study, we proposed a control method to determine static equilibrium. Initially, an algorithm for finding the initial equilibrium block state (IES algorithm) was proposed, followed by deep reinforcement learning (DRL) based method for block lifting. The position, orientation, and angular velocity of the block, and hoisting speed of the wires were applied as the DRL state. The control input of the crane was calculated by deriving the hoisting speed of the wires. To verify the proposed method, comparative studies on the application of the IES algorithm were carried out, and further block movement was compared. Conclusively, the proposed method effectively increased block lifting safety.
Publication Date 2022-07-23
Role Corresponding Author
Category SCIE

Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23

https://doi.org/10.1093/jcde/qwac063


List of Articles
번호 분류 제목 Publication Date
8 International Journal Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, “Ship Route Planning in Arctic Ocean Based on POLARIS”, Ocean Engineering, Vol. 234, pp. 109297.1-14, 2021.08.15 file 2021-08-15
7 International Journal June-Beom Lee, Myung-Il Roh, Ki-Su Kim, “Prediction of Ship Power Based on Variation in Deep Feed-forward Neural Network”, International Journal of Naval Architecture and Ocean Engineering, 2021.08.07 file 2021-08-12
6 International Journal Won-Jae Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Cho, Nam-Sun Son, “Detection and Tracking for the Awareness of Surroundings of a Ship Based on Deep Learning”, Journal of Computational Design and Engineering, Vo. 8, No. 5 file 2021-10-01
5 International Journal Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Quasi-static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load", Journal of Ship Production and Design, 2022.02.10 file 2022-02-10
4 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15 file 2022-02-15
» International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23 file 2022-07-23
2 International Journal Jin-Hyeok Kim, Myung-Il Roh et al. "Prediction of the Superiority of the Hydrodynamic Performance of Hull Forms Using Deep Learning", accepted for publication in International Journal of Naval Architecture and Ocean Engineering, 2022.10.21 2022-10-21
1 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Ho-Gyun Park, Jong-Oh Kim, "Variable Indexing Method in Rule Documents for Ship Design Using Extraction of PDF Elements", accepted for publication in Journal of Computational Design and Engineering, 2022.11.11 2022-11-11
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