Weather routing system architecture using onboard data collection and route optimisation

• Autorzy: Szłapczyńska Joanna , Vettor Roberto , Szłapczyński Rafał , Łącki Mirosław , Życzkowski Marcin , Hinostroza Miguel A. , Santos Fernando P. , Tycholiz Wojciech , Soares C. Guedes

Identyfikatory

DOI

10.2478/pomr-2022-0020

• Języki publikacji: EN

Abstrakty

EN

This paper describes the architecture of a weather routing system consisting of two key elements: onboard monitoring and route optimiser sub-systems. The former is responsible for collecting various onboard measurements, such as current ship position or ship motion variables. These data, when gathered and processed, are then used for fine-tuning a ship model. The model, together with weather forecasts, is utilised by a multi-objective route optimiser to estimate forecasted ship responses during the voyage. The route optimiser has been developed in a client-server architecture to reallocate all necessary high-tech resources to the server side and keep the client software as simple and light as possible. The system also includes a module responsible for optimising transmission costs, to reduce onboard transmission during the voyage. The entire solution has been deployed onboard the demonstrator ship ‘Monte da Guia’ and tested during its operations at sea.

Słowa kluczowe

EN

system architecture; weather routing; onboard data monitoring; route optimisation; data transmission optimisation

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2022
• Tom: nr 2
• Strony: 87--95
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Szłapczyńska Joanna

• Gdynia Maritime University, Faculty of Navigation Poland

autor

Vettor Roberto

• Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa Portugal

autor

Szłapczyński Rafał

• Gdańsk University of Technology, Faculty of Mechanical Engineering and Ship Technology Poland

autor

Łącki Mirosław

• Gdynia Maritime University, Faculty of Navigation Poland

autor

Życzkowski Marcin

• Gdańsk University of Technology, Faculty of Mechanical Engineering and Ship Technology Poland

autor

Hinostroza Miguel A.

• Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa Portugal

autor

Santos Fernando P.

• Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa Portugal

autor

Tycholiz Wojciech

• NavSim sp. z .o.o, Poland Poland

autor

Soares C. Guedes

• Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa Portugal

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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).