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The concept of determining the ship’s route based on the capability plots

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EN
Abstrakty
EN
Every year, new vessels equipped with dynamic positioning (DP) systems are built in shipyards around the world. Due to the increasing number of offshore vessels, a client hiring a vessel should analyse the vessel's positioning capability charts to determine which water areas the vessel is designed for. These charts are represented as polar diagrams. In the centre of the chart is a shape symbolising the ship's body, and the values on the chart represent the maximum wind speed that can affect the ship at a given angle, at which the vessel will maintain its position. Vessel capability charts can also be used by the crew during thrusters failures to determine at what angle to the wind direction the vessel should stand to minimise the impact of wind forces. Analyses that determine a vessel's ability to keep position can be performed by classification societies or other companies with approval from classification societies. The article presents the concept of a pathfinding algorithm to determines the route of the ship’s passage with minimal energy consumption. The algorithm uses the information about environmental forces affecting the ship and information about thrust allocation obtained from Capability Plots.
Twórcy
autor
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • [1] A. Przybyłowski, “Sustainable Transport Planning & Development in the EU at the Example of the Polish Coastal Region Pomorskie,” TRANSNAVINTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION, eISSN:2083‐6481.
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  • [4] T. Abramowicz‐Gerigk, Z. Burciu, and L. Hapke, “Innovative Project of Propellers and Thrusters Jet Loads during Ship Berthing Monitoring System,” TransNav, vol. 13, no. 4, pp. 861–865, 2019, doi: 10.12716/1001.13.04.20.
  • [5] T. Abramowicz‐Gerigk and Z. Burciu, “Design and Operational Innovations in Adapting the Existing Merchant River Fleet to Cost‐Effective Shipping,” Polish Maritime Research, vol. 26, no. 4, pp. 157–164, 2019, doi: 10.2478/pomr‐2019‐0078.
  • [6] T. Abramowicz‐Gerigk and Z. Burciu, “Application of Ship Motion Simulation in Reliability Assessment of Ship Entrance into the Port,” TransNav, vol. 10, no. 4, pp. 613–617, 2016, doi: 10.12716/1001.10.04.10.
  • [7] K. S. Kula, “Automatic Control of Ship Motion Conducting Search in Open Waters,” Polish Maritime Research, vol. 27, no. 4, pp. 157–169, 2020, doi: 10.2478/pomr‐2020‐0076.
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  • [12] J. Zhang, H. Zhang, J. Liu, Da Wu, and C. G. Soares, “A Two‐Stage Path Planning Algorithm Based on Rapid‐ Exploring Random Tree for Ships Navigating in Multi‐ Obstacle Water Areas Considering COLREGs,” JMSE, vol. 10, no. 10, p. 1441, 2022, doi: 10.3390/jmse10101441.
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  • 15] J. Lisowski and M. Mohamed‐Seghir, “Comparison of Computational Intelligence Methods Based on Fuzzy Sets and Game Theory in the Synthesis of Safe Ship Control Based on Information from a Radar ARPA System,” Remote Sensing, vol. 11, no. 1, p. 82, 2019, doi:10.3390/rs11010082.
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  • [20] X. Chen et al., “Infrared Ocean Image Simulation Algorithm Based on Pierson–Moskowitz Spectrum and Bidirectional Reflectance Distribution Function,” Photonics, vol. 9, no. 3, p. 166, 2022, doi: 10.3390/photonics9030166.
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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