Skip to main content
SpringerLink
Log in

Enduruns Project: Advancements for a Sustainable Offshore Survey System Using Autonomous Marine Vehicles

  • Conference paper
  • First Online:
Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1 (ICMSEM 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 144))

  • 855 Accesses

Abstract

The growth of industrial activities in marine environment motivates the innovation and adaptation of different technologies. The development of these installations requires the use of specific devices and tools. In this line, the use of autonomous marine brings an outstanding support in several fields. One of the most common uses of them are the monitorization and mapping works in high deeps or complex situations. The remote control by the operators supposes a great advantage to avoid personal or economic losses. However, these vehicles present some deficits in other fields as the power endurance, communications or versatility configuration. The current trends in mobility devices motivate the improvement of these points. ENDURUNS Project develops an innovative green energy system for the offshore inspections with the aim to use renewable resources. This article exposes the main advancements developed in this project regarding the current technologies in different fields. It will be exposed a resume of the novel vehicles powered systems employed. Also, it is presented the approach for the communications systems developed, given the implementation importance of the real-time remote-control. These improvements will place this project in the forefront of the marine survey technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Acar, C., Beskese, A., Temur, G.T.: Comparative fuel cell sustainability assessment with a novel approach. Int. J. Hydrogen Energy 47(1), 575–594 (2022)

    Article  Google Scholar 

  2. Acosta, G., et al.: Navigation system for macábot an autonomous surface vehicles using gps aided strapdown inertial navigation system. IEEE Lat. Am. Trans. 17(06), 1009–1019 (2019)

    Article  Google Scholar 

  3. Ahmad, I., Noor, R.M., et al.: A cooperative heterogeneous vehicular clustering framework for efficiency improvement. Frontiers of Information Technology & Electronic Engineering 22(9), 1247–1259 (2021)

    Article  Google Scholar 

  4. Akalin, S.A., Celik, E.: Surface treatments and modifications of si wafers produced by czochralski method for solar cell applications. J. Electron. Mater. 48(10), 6786–6791 (2019)

    Article  Google Scholar 

  5. Akurasi, K.: (gps) receiver u-blox neo-6m dan u-blox neo-m8n pada navigasi quadcopter, p. 4 (2020)

    Google Scholar 

  6. Andreani, L.C., Bozzola, A., et al.: Silicon solar cells: toward the efficiency limits. Adv. Phys. X 4(1), 1548,305 (2019)

    Google Scholar 

  7. Asgharian, P., Azizul, Z.H.: Proposed efficient design for unmanned surface vehicles, p. 5 (2020)

    Google Scholar 

  8. Barnawi, A., Al-Barakati, A., et al.: A proposed architecture for a heterogeneous unmanned aerial vehicles system. Int. J. Electr. Electron. Eng. Telecommun. 7(3), 119–126 (2018)

    Google Scholar 

  9. Belz, S., Ganzer, B., et al.: Hybrid life support systems with integrated fuel cells and photobioreactors for a lunar base. Aerosp. Sci. Technol. 24(1), 169–176 (2013)

    Article  Google Scholar 

  10. Bernay, C., Marchand, M., Cassir, M.: Prospects of different fuel cell technologies for vehicle applications. J. Power Sources 108(1–2), 139–152 (2002)

    Article  Google Scholar 

  11. Blass, T., Hamann, A., et al.: Automatic latency management for ros 2: benefits, challenges, and open problems. In: 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS), pp 264–277. IEEE (2021)

    Google Scholar 

  12. Bruzzone, G., Ferretti, R., Odetti, A.: Unmanned marine vehicles. Multidisciplinary Digital Publishing Institute 9, 257 (2021)

    Google Scholar 

  13. Cigolotti, V., Genovese, M., Fragiacomo, P.: Comprehensive review on fuel cell technology for stationary applications as sustainable and efficient poly-generation energy systems. Energies 14(16), 4963 (2021)

    Article  Google Scholar 

  14. Fichtner, M.: Recent research and progress in batteries for electric vehicles. Batteries & Supercaps, p. 10 (2021)

    Google Scholar 

  15. Fisher, J., Koning, D., et al.: Utilizing atlassian jira for large-scale software development management. In: 14th International Conference on Accelerator & Large Experimental Physics Control Systems (ICALEPCS), Citeseer, p. 12 (2013)

    Google Scholar 

  16. Garche, J., Karden, E., et al.: Lead-acid batteries for future automobiles. Elsevier 14, 4963 (2017)

    Google Scholar 

  17. Gatesichapakorn, S., Takamatsu, J., Ruchanurucks, M.: Ros based autonomous mobile robot navigation using 2d lidar and rgb-d camera. In: 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP), pp. 151–154. IEEE (2019)

    Google Scholar 

  18. Gerardo, M.G., Marcheschi, S., et al.: Dynamics modeling of human-machine control interface for underwater teleoperation. Robotica 39(4), 618–632 (2021)

    Article  Google Scholar 

  19. Gjeci, N., Govindaraj, S., et al.: Transmission of classified and varying quality underwater maps over constrained networks. In: Proceedings of the IMEKO TC-19 International Workshop on Metrology for the Sea, Genova, Italy, pp. 3–5 (2019)

    Google Scholar 

  20. Gonzalo, A.P., Marugán, A.P., Márquez, F.P.G.: Survey of maintenance management for photovoltaic power systems. Renew. Sustain. Energy Rev. 134(110), 347 (2020)

    Google Scholar 

  21. Green, M., Dunlop, E., et al.: Solar cell efficiency tables (version 57). Prog. Photovoltaics Res. Appl. 29(1), 3–15 (2021)

    Article  Google Scholar 

  22. Handegard, N.O., Algróy, T., et al.: Smart fisheries in norway: partnership between science, technology, and the fishing sector, p. 8 (2021)

    Google Scholar 

  23. Hatcher, G.A., Warrick, J.A., et al.: Accurate bathymetric maps from underwater digital imagery without ground control. Frontiers in Marine Science, p. 525 (2020)

    Google Scholar 

  24. Ishihara, T., Shinohara, M., et al.: High-resolution gravity measurement aboard an autonomous underwater vehicle. Geophysics 83, 1–62 (2018)

    Google Scholar 

  25. Iwen, D., WAz, M.: Benefits of using asv mbes surveys in shallow waters and restriced areas, pp. 1–3 (2019)

    Google Scholar 

  26. Junior, V.L.J., Ramirez, I.S., et al.: Numerical evaluation of type i pressure vessels for ultra-deep ocean trench exploration. Results Eng. 11(100), 267 (2021)

    Google Scholar 

  27. Marini, S., Corgnati, L., et al.: Guard1: an autonomous system for gelatinous zooplankton image-based recognition. In: OCEANS 2015-Genova, pp. 1–7. IEEE (2015)

    Google Scholar 

  28. Marini, S., Gjeci, N., et al.: Enduruns: an integrated and flexible approach for seabed survey through autonomous mobile vehicles. J. Marine Sci. Eng. 8(9), 633 (2020)

    Article  Google Scholar 

  29. Márquez, F.P.G., Lev, B.: Data science and digital business, p. 316. Springer (2019)

    Google Scholar 

  30. Márquez, F.P.G., Karyotakis, A., Papaelias, M.: Renewable energies: Business outlook 2050, p. 150. Springer (2018)

    Google Scholar 

  31. McLean, D.L., Parsons, M.J., et al.: Enhancing the scientific value of industry remotely operated vehicles (rovs) in our oceans. Front. Mar. Sci. 7, 220 (2020)

    Article  Google Scholar 

  32. Monaco, C.D., Brennan, S.N., Hacker, K.A.: Doppler velocity log placement effects on autonomous underwater vehicle navigation accuracy. In: 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), pp 1–6. IEEE (2018)

    Google Scholar 

  33. Nathalie, D., Thierry, S., et al.: Outlier detection for multibeam echo sounder (mbes) data: from past to present. In: OCEANS 2019-Marseille, pp. 1–10. IEEE (2019)

    Google Scholar 

  34. Papaelias, M., Marquez, F.P.G., Karyotakis, A.: Non-destructive testing and condition monitoring techniques for renewable energy industrial assets. Butterworth-Heinemann (2019)

    Google Scholar 

  35. Paull, L., Saeedi, S., et al.: Auv navigation and localization: a review. IEEE J. Oceanic Eng. 39(1), 131–149 (2013)

    Article  Google Scholar 

  36. Petillot, Y.R., Antonelli, G., et al.: Underwater robots: from remotely operated vehicles to intervention-autonomous underwater vehicles. IEEE Robot. Autom. Magaz. 26(2), 94–101 (2019)

    Article  Google Scholar 

  37. Praveen, J., VijayaRamaraju, V.: Materials for optimizing efficiencies of solar photovoltaic panels. Mater. Today Proc. 4(4), 5233–5238 (2017)

    Article  Google Scholar 

  38. Rajak, C.K., Soni, U., et al.: Real-time web based timing display application for test range applications. In: 2021 2nd International Conference on Range Technology (ICORT), pp. 1–6 (2021)

    Google Scholar 

  39. Ramírez, I.S., Bernalte Sánchez, P.J., et al.: Autonomous underwater vehicles and field of view in underwater operations. J. Marine Sci. Eng. 9(3), 277 (2021)

    Article  Google Scholar 

  40. Rostami, M., Dehghan Manshadi, M., Afshari, E.: Performance evaluation of two proton exchange membrane and alkaline fuel cells for use in uavs by investigating the effect of operating altitude. Int. J. Energy Res. 46(2), 1481–1496 (2022)

    Article  Google Scholar 

  41. Eu, S.: Solbian sxx series (2021). https://www.solbian.eu/en/32-sxx-series

  42. Sánchez, P.J.B., Papaelias, M., Márquez, F.P.G.: Autonomous underwater vehicles: instrumentation and measurements. IEEE Instrum. Measure. Magaz. 23(2), 105–114 (2020)

    Article  Google Scholar 

  43. Sánchez, P.J.B., Asensio, M.T., Papaelias, M., Márquez, F.P.G.: Life cycle assessment in autonomous marine vehicles. In: Xu, J., García Márquez, F.P., Ali Hassan, M.H., Duca, G., Hajiyev, A., Altiparmak, F. (eds.) ICMSEM 2021. LNDECT, vol. 79, pp. 222–233. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79206-0_17

    Chapter  Google Scholar 

  44. Sánchez, P.J.B., Junior, V.L.J., Papaelias, M., Márquez, F.P.G.: Life cycle assessment of an autonomous underwater vehicle. In: Xu, J., García Márquez, F.P., Ali Hassan, M.H., Duca, G., Hajiyev, A., Altiparmak, F. (eds.) ICMSEM 2021. LNDECT, vol. 79, pp. 577–587. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79206-0_43

    Chapter  Google Scholar 

  45. Sanchez, P.J.B., Márquez, F.P.G., et al.: Use of uiot for offshore surveys through autonomous vehicles. Polish Maritime Res. 28(3), 175–189 (2021)

    Article  Google Scholar 

  46. Shah, A., Torres, P., et al.: Photovoltaic technology: the case for thin-film solar cells. Science 285(5428), 692–698 (1999)

    Google Scholar 

  47. Sun, C., Liu, J., et al.: Recent advances in all-solid-state rechargeable lithium batteries. Nano Energy 33, 363–386 (2017)

    Article  Google Scholar 

  48. Sunardi, S., Afif, A., Noviyanto, F.: Real time monitoring and irrigation control using the websocket protocol. In: Proceedings of the 1st International Conference on Science and Technology for an Internet of Things, European Alliance for Innovation (EAI), p. 12 (2018)

    Google Scholar 

  49. Thomas, N.F., Jain, R., et al.: Advancements in automotive applications of fuel cellsła comprehensive review. In: Proceedings of ICDMC 2019, pp. 51–64 (2020)

    Google Scholar 

  50. Weydahl, H., Gilljam, M., et al.: Fuel cell systems for long-endurance autonomous underwater vehicles-challenges and benefits. Int. J. Hydrogen Energy 45(8), 5543–5553 (2020)

    Article  Google Scholar 

  51. Xie, C., Li, M., et al.: A survey on visual analysis of ocean data. Visual Inform. 3(3), 113–128 (2019)

    Article  Google Scholar 

  52. Yang, Y., Xiao, Y., Li, T.: A survey of autonomous underwater vehicle formation: performance, formation control, and communication capability. IEEE Commun. Surv. Tutorials 23(2), 815–841 (2021)

    Article  Google Scholar 

  53. Yusof, N.B.M., Baharuddin, A.B.: The study of output current in photovoltaics cell in series and parallel connections. Int. J. Technol. Innov. Humanities 1(1), 7–12 (2020)

    Article  Google Scholar 

  54. Zaman, N., Seliaman, M.E., et al.: Handbook of research on trends and future directions in big data and web intelligence. Information Science Reference Pennsylvania, p. 35 (2015)

    Google Scholar 

  55. Zereik, E., Bibuli, M., et al.: Challenges and future trends in marine robotics. Annu. Rev. Control. 46, 350–368 (2018)

    Article  Google Scholar 

  56. GLOBAL OFFSHORE AUV & ROV MARKET RESEARCH REPORT 2021 (2021). https://www.industryresearch.co/global-offshore-auv-rov-market-17207325

  57. Autonomous Marine Vehicles Publications (2021). https://app.dimensions.ai/analytics/publication/overview/timeline?search_mode=content &year_from=2015 &year_to=2020 &search_text=autonomous%20marine%20vehicles &search_type=kws &search_field=full_search

Download references

The work reported here with has been supported by the European Project H2020 under the Research Grants H2020-MG-2018-2019-2020 n.824348, ENDURUNS.

Author information

Authors and Affiliations

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

    Pedro Jose Bernalte Sanchez & Fausto Pedro Garcia Marquez

  2. School of Metallurgy and Materials, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK

    Mayorkinos Papaelias

  3. Institute of Marine Sciences, National Research Council of Italy (CNR), 19032, La Spezia, Italy

    Simone Marini

  4. Space Applications Services NV/SA, Leuvensesteenweg 325, 1932, Sint-Stevens-Woluwe, Brussels Area, Belgium

    Shashank Govindaraj

Authors
  1. Pedro Jose Bernalte Sanchez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fausto Pedro Garcia Marquez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mayorkinos Papaelias
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Simone Marini
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shashank Govindaraj
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fausto Pedro Garcia Marquez .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, Sichuan, China

    Jiuping Xu

  2. Department of Industrial Engineering, Gazi University, Faculty of Engineering, Ankara, Turkey

    Fulya Altiparmak

  3. School of Mathematical Sciences, University of Khartoum, Khartoum, Sudan

    Mohamed Hag Ali Hassan

  4. University of Castilla-La Mancha (UCLM), Ciudad Real, Spain

    Fausto Pedro García Márquez

  5. Institute of Control Systems, Azerbaijan National Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sanchez, P.J.B., Marquez, F.P.G., Papaelias, M., Marini, S., Govindaraj, S. (2022). Enduruns Project: Advancements for a Sustainable Offshore Survey System Using Autonomous Marine Vehicles. In: Xu, J., Altiparmak, F., Hassan, M.H.A., García Márquez, F.P., Hajiyev, A. (eds) Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1. ICMSEM 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-031-10388-9_26

Download citation

Publish with us

Policies and ethics

Search

Navigation