Skip to main content

Design of an Autonomous Underwater Vehicle for Targeted Water Sampling

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2023)

Abstract

In this paper, we introduce an autonomous underwater vehicle for the collection of target water samples. The designed sampling autonomous underwater vehicle (S-AUV) consists of three parts: an electronic control cabin, a sampling cabin and a sensor cabin. The S-AUV can collect up to 8 target water samples during a single cruise. Each sample has a volume of 500 mL and can be taken within 40 s. The excellent sampling ability and control effect of the designed S-AUV are verified by pool test and lake test.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
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

References

  1. Ferri, G., Manzi, A., Fornai, F., et al.: The HydroNet ASV, a small-sized autonomous catamaran for real-time monitoring of water quality: from design to missions at sea. IEEE J. Oceanic Eng. 40(3), 710–726 (2014)

    Article  Google Scholar 

  2. Caccia, M., Bono, R., Bruzzone, G., et al.: Sampling sea surfaces with SESAMO: an Autonomous craft for the study of sea-air interactions. IEEE Robot. Autom. Mag. 12(3), 95–105 (2005)

    Article  Google Scholar 

  3. Hitz, G.: Autonomous inland water monitoring: design and application of a surface vessel. IEEE Robot. Autom. Mag. 19(1), 62–72 (2012)

    Article  Google Scholar 

  4. McNichol, J., Sylva, S.P., Thomas, F., Taylor, C.D., Sievert, S.M., Seewald, J.S.: Assessing microbial processes in deep-sea hydrothermal systems by incubation at in situ temperature and pressure. Deep Sea Res. Part I 115, 221–232 (2016)

    Article  Google Scholar 

  5. Mccollom, T.M., Seewald, J.S., German, C.R.: Investigation of extractable organic compounds in deep sea hydrothermal vent fluids along the mid-atlantic ridge. Geochim. Cosmochim. Acta 156, 122–144 (2015)

    Article  Google Scholar 

  6. Ji, F., Zhou, H., Yang, Q., et al.: Geochemistry of hydrothermal vent fluids and its implications for subsurface processes at the active Longqi hydrothermal field, Southwest Indian Ridge. Deep Sea Research Part I Oceanographic Research Papers, 122 (2017)

    Google Scholar 

  7. Wang, S., Wu, S., Du, M., et al.: A new serial sampler for collecting gas-tight samples from seafloor cold seeps and hydrothermal vents. Deep Sea Res. Part I 161, 103282 (2020)

    Article  Google Scholar 

  8. Ryan, J.P., Johnson, S.B., Sherman, A., et al.: Mobile autonomous process sampling within coastal ocean observing systems. Limnol. Oceanogr. Methods 8(8), 394–402 (2010)

    Article  Google Scholar 

  9. Zhang, Y., Ryan, J.P., Bellingham, J.G., et al.: Autonomous detection and sampling of water types and fronts in a coastal upwelling system by an autonomous underwater vehicle. Limnol. Oceanogr. Methods 10(11), 934–951 (2012)

    Article  Google Scholar 

  10. Pennington, J.T., Blum, M., Chavez, F.P.: Seawater sampling by an autonomous underwater vehicle: “Gulper” sample validation for nitrate, chlorophyll, phytoplankton, and primary production. Limnol. Oceanogr. Methods 14(1), 14–23 (2016)

    Article  Google Scholar 

  11. Billings, A., et al.: SyPRID sampler: a large-volume, high-resolution, autonomous, deep-ocean precision plankton sampling system. Deep Sea Res. Part II 137, 297–306 (2017)

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by the National Science Foundation of Zhejiang Province, China (Grant No. LR21E090001).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wenbo Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wu, S., Zhang, W., Wang, X., Fu, X. (2023). Design of an Autonomous Underwater Vehicle for Targeted Water Sampling. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14273. Springer, Singapore. https://doi.org/10.1007/978-981-99-6498-7_26

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-6498-7_26

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6497-0

  • Online ISBN: 978-981-99-6498-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics