Calculation and measurement of tide height for the navigation of ship at high tide using artificial neural network

• Autorzy: Li Q. , Bing-Dong Y. , Bi-Guang H.

Identyfikatory

DOI

10.2478/pomr-2018-0118

• Języki publikacji: EN

Abstrakty

EN

Accurate tide height is crucial for the safe navigation of large deep-draft ships when they enter and leave the port. We have proposed an accurate forecasting method for the tide heights from the observation data and neural networks, which can easily calculate the tidal window period of large deep-draft ships’ navigation through long channels at high tide. Moreover, an artificial neural network is established for the tide height from the observation of tide heights before their current time node. For an ideal forecast, the neural network was optimized for one year with the tide height data of Huanghua Port. In case of large ships, their tidal characteristics of channels for are complex. A new method is proposed for the observation of multiple stations and artificial neural networks of each observation station. When ships are navigating through the port, the tide height is predicted from the observed data and forecast tide heights of multiple observation stations. Thus, a valid tidal window period is secured when the ships enter the port. Comparative analysis of the ship’s tidal window period with that of the measured one can lead us to conclude that the forecasted data has a strong correlation with the measurement. So, our proposed algorithm can accurately predict the tide height and calculate the node timing when the ship enters and depart the port. Finally, these results can be applied for the safe navigation of large deep-draft ships when the port is at high tide.

Słowa kluczowe

EN

deep-draft ships; neural network; intelligent navigation; multi-observation stations

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2018
• Tom: S 3
• Strony: 99--110
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Li Q.

• Navigation College Dalian Maritime University 116026 Dalian, Liaoning China

autor

Bing-Dong Y.

• Pilot Station of Huanghua Port, Huanghua, Hebei, China

autor

Bi-Guang H.

• Navigation College Dalian Maritime University 116026 Dalian, Liaoning China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).