skip to main content
10.1145/3495018.3495156acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiamConference Proceedingsconference-collections
research-article

An intelligent Cable Detection System in Shallow Water Area

Authors Info & Claims
Published:14 March 2022Publication History

ABSTRACT

This paper studies the route and buried depth detection methods for submarine cables, which are mainly used to detect the route and buried depth of submarine cables in operation, thereby providing basic data for the subsequent operation and maintenance of submarine cables. Based on the electromagnetic induction theory and considering the geomagnetic field distribution characteristics of the submarine cable, this paper studies detection method of single three-component coil, proposes a method able to intelligent identification of routing and detect the buried depth of the submarine cable in shallow water, and develops the corresponding equipment and calculation software which achieves fine detection effect in final engineering application.

References

  1. Manfred Bawart, Massimo Marzinotto, Giovanni Mazzanti A deeper insight into fault location on long submarine power cables. Elektrotechnik und Informationstechnik, vol. 131, no. 8, pp. 355-360, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  2. Matsumoto Hiroyuki, Araki Eiichiro, Kimura Toshinori Detection of hydroacoustic signals on a fiber-optic submarine cable. Scientific Reports, vol. 11, no. 1, 2021.Google ScholarGoogle Scholar
  3. Liang Zeng, Yan Wang, Mingbo Li, Application of TSS350 system in submarine cable detection. Geotechnical Investigation & Surveying, no. 4, pp. 92-95, 2012.Google ScholarGoogle Scholar
  4. Xuejun Zhou, Ping Wang, Wenyu Fan. Passive Detection Technology for Submarine Cable. Cable Compounds, no. 1, pp. 30-37, 2003.Google ScholarGoogle Scholar
  5. Anonymous DeepOcean now working with new Teledyne TSS cable trackers. Ocean News & Technology, vol. 20, no. 11, pp. 58, 2014.Google ScholarGoogle Scholar
  6. Bin Chen, Rong Li, Wanjian Bai Application Analysis of Autonomous Underwater Vehicle in Submarine Cable Detection Operation. Control and Automation Engineering, pp. 71-75, 2018.Google ScholarGoogle Scholar
  7. J P Chen, Q ZH Zhao, CH Zhang, Fast and High Precision Numerical Simulation of DC 2.5D under Muti-source Condition. Proceedings of 2020 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA2020, pp. 1129-1136.Google ScholarGoogle Scholar
  8. Shikun Dai, Shunguo Wang, Qianjiang Zhang, 2.5d forward and inversion of CSEM in frequency domain . The Chinese Journal of Nonferrous Metals, no. 9, pp. 2513-2523, 2013.Google ScholarGoogle Scholar
  9. Q J Zhang, S K Dai, L W Chen , Finite element numerical simulation of 2.5D direct current method based on mesh refinement and recoarsement. Applied Geophysics, vol. 13, no. 2, pp. 257-266, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  10. Tuanjie Gan, Jianping Chen, Xi Yang, Simulation and analysis of electromagnetic field distribution of submarine cables. Geophysical and Geochemical Exploration, vol. 44, no. 3, pp. 1066-1072, 2020.Google ScholarGoogle Scholar
  11. Changsheng Liu. Numerical modeling and experimental study of sea-floor controlled-source electromagnetic detection. Jilin University, 2009.Google ScholarGoogle Scholar
  12. Jianping Wu, Chao Zhang, Jianping Chen, Three dimensional finite element simulation of wide field electromagnetic method. Geophysical and Geochemical Exploration, vol. 44, no. 5, pp. 550-558, 2020.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
    October 2021
    3136 pages
    ISBN:9781450385046
    DOI:10.1145/3495018

    Copyright © 2021 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 14 March 2022

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate100of285submissions,35%
  • Article Metrics

    • Downloads (Last 12 months)8
    • Downloads (Last 6 weeks)2

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format