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Optimal Management of Marine Inspection with Autonomous Underwater Vehicles

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Proceedings of the Thirteenth International Conference on Management Science and Engineering Management (ICMSEM 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1001))

Abstract

New technologies and system communications are being applied in the industry, improving the efficiency and effectiveness. This paper is focused on novel technologies, software and materials that allow to explore deep ocean floor. Autonomous underwater vehicles require planning navigation models and algorithms. Sensors equipped in underwater vehicles allow to inspect and analyse inaccessible areas. Monitor and control measurement process is required to ensure suitable underwater operations. This paper presents a model using the main inspection process variables. The model calculates the field of view of the autonomous underwater vehicle to be determined according to the type of sensor, the orientation and the distance from the floor. This study aims at stabilising the fundaments to develop an autonomous route for the autonomous underwater vehicles and optimize its operation performance.

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Acknowledgements

The work reported here with has been supported by the European Project H2020 under the Research Grants H2020-MG-2018-2019-2020, ENDURUNS.

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Authors and Affiliations

  1. Ingenium Research Group, Universidad Castilla-La Mancha, 13071, Ciudad Real, Spain

    Isaac Segovia, Alberto Pliego & Fausto Pedro García Márquez

  2. School of Metallurgy and Materials, University of Birmingham, Birmingham, UK

    Mayorkinos Papaelias

Authors
  1. Isaac Segovia
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  2. Alberto Pliego
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  3. Mayorkinos Papaelias
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  4. Fausto Pedro García Márquez
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Corresponding author

Correspondence to Fausto Pedro García Márquez .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Department of Mathematics and Statistics, Brock University on McMaster, Hamilton, ON, Canada

    Syed Ejaz Ahmed

  3. Department of Management, Monash University, Melbourne, VIC, Australia

    Fang Lee Cooke

  4. Academy of Sciences of Moldova, Chisinau, Moldova

    Gheorghe Duca

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Segovia, I., Pliego, A., Papaelias, M., García Márquez, F.P. (2020). Optimal Management of Marine Inspection with Autonomous Underwater Vehicles. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1001. Springer, Cham. https://doi.org/10.1007/978-3-030-21248-3_57

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