Use of UIOT for offshore surveys through autonomous vehicles

• Autorzy: Sanchez Pedro Jose Bernalte , Márquez Fausto Pedro García , Govindara Shashank , But Alexandru , Sportich Benjamin , Marini Simone , Jantara Valter Junior , Papaelias Mayorkinos

Identyfikatory

DOI

10.2478/pomr-2021-0044

• Języki publikacji: EN

Abstrakty

EN

The ENDURUNS project is a European Research project of the Horizon 2020 framework, which has as its main objective to achieve the optimum and intelligent use of green hydrogen energy for long-term ocean surveys. The ENDURUNS system comprises an Unmanned Surface Vehicle (USV) and an Autonomous Underwater Vehicle (AUV) with gliding capability. The power pack of the USV integrates Li-ion batteries with photovoltaic panels, whilst the AUV employs Li-ion batteries and a hydrogen fuel cell. It is essential to develop a continuous monitoring ca-pability for the different systems of the vehicles. Data transmission between the devices onboard presents challenges due to the volume and structure of the different datasets. A telecommunications network has been designed to manage the operational components considered in the project. The autonomous vehicles perform measurements, providing their position and other data wirelessly. The system will generate a great volume of various signals during the survey. The Remote Control Centre needs to be interfaced with the vehicles in order to receive, manage and store the acquired data. An Underwater Internet of Things (IoT) platform is designed to establish efficient and smart data management. This study presents an exhaustive survey to analyse the telecommunication systems employed in the autonomous vehicles, including the back-end, user interface and mobile units. This paper presents the novel design of the hardware and software structure of the ENDURUNS project with regard to the literature, where its components and their in-terconnection layers are detailed, which is a novel scientific and technological approach for autonomous seabed surveying in deep oceans or in coastal areas.

Słowa kluczowe

EN

Underwater Internet of Things (UIoT); autonomous underwater vehicles; unmanned surface vehicles; clean energy; data management; data transmission

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2021
• Tom: nr 3
• Strony: 175--189
• Opis fizyczny: Bibliogr. 118 poz., rys., tab.

Twórcy

autor

Sanchez Pedro Jose Bernalte

• University of Castilla-La Mancha ETII Campus Universitario sn 13004 Ciudad Real Spain

autor

Márquez Fausto Pedro García

• University of Castilla-La Mancha ETSI Campus Universitario s/n 13071 Ciudad Real Spain

autor

Govindara Shashank

• Space Applications Services NV/SA Sint-Stevens-Woluwe, Brussels Area Sint-Stevens-Woluwe, 56987 Brussels Belgium

autor

But Alexandru

• Space Applications Services NV/SA Sint-Stevens-Woluwe, Brussels Area Sint-Stevens-Woluwe, 56987 Brussels Belgium

autor

Sportich Benjamin

• Space Applications Services NV/SA Sint-Stevens-Woluwe, Brussels Area Sint-Stevens-Woluwe, 56987 Brussels Belgium

autor

Marini Simone

• Institute of Marine Sciences National Research Council of Italy (CNR) 789965 La Spezia Italy

autor

Jantara Valter Junior

• University of Birmingham Edbaston, 5698745 Birmingham United Kingdom

autor

Papaelias Mayorkinos

• School of Metallurgy and Materials The University of Birmingham, Edgbaston, Birmingham, UK, Edbaston, 5698745 Birmingham, United Kingdom

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).