Research Review of Ship Draft Observation Methods

Yaoming Wei

doi:doi:10.11648/j.ajtte.20230802.11

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Research Review of Ship Draft Observation Methods

Yaoming Wei

Published in American Journal of Traffic and Transportation Engineering (Volume 8, Issue 2)

Received: 26 February 2023 Accepted: 16 March 2023 Published: 28 March 2023

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Abstract

In order to systematically analyze and summarize the research status and development trend of draft observation, co-work cluster analysis base on draft observation was carried out by using knowledge VOS viewer software. Two research hotspots of draft observation were obtained, human visual observation combined with auxiliary equipment and artificial intelligence observation. The object and method of ship draft observation are summarized, and the main research direction is analyzed. The analysis focuses on improving observation accuracy, reducing labor costs, and being able to apply in complex environments. Future research directions of draft observation mainly include how to combine the traditional ship draft observation with artificial intelligence in the future, reduce error of draft observation to millimeters, identify obstacles, explore neural network autonomous learning optimization models, reduce the observation time and labor cost and meet the requirements of diversified application scenarios. At the same time correct the attitude that the accuracy of the current human observation is not high enough or even a negative in the artificial intelligence research area, finally promote the ship, insurance assessment, maritime and other aspects, in order to make the technology which combined artificial observation with intelligent assistance can be applied in practice to solve relevant lawsuits and provide an authoritative legal basis, and be used as the legal basis in the declaration of the ship and subsequent legal disputes.

Published in	American Journal of Traffic and Transportation Engineering (Volume 8, Issue 2)
DOI	10.11648/j.ajtte.20230802.11
Page(s)	33-42
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Ship Draft Observation, Ship Draft Survey, Ship Draft, Draft Observation Accurate, Bulk Carrier, Artificial Intelligence

References

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APA Style

Yaoming Wei. (2023). Research Review of Ship Draft Observation Methods. American Journal of Traffic and Transportation Engineering, 8(2), 33-42. https://doi.org/10.11648/j.ajtte.20230802.11

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ACS Style

Yaoming Wei. Research Review of Ship Draft Observation Methods. Am. J. Traffic Transp. Eng. 2023, 8(2), 33-42. doi: 10.11648/j.ajtte.20230802.11

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AMA Style

Yaoming Wei. Research Review of Ship Draft Observation Methods. Am J Traffic Transp Eng. 2023;8(2):33-42. doi: 10.11648/j.ajtte.20230802.11

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@article{10.11648/j.ajtte.20230802.11,
  author = {Yaoming Wei},
  title = {Research Review of Ship Draft Observation Methods},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {8},
  number = {2},
  pages = {33-42},
  doi = {10.11648/j.ajtte.20230802.11},
  url = {https://doi.org/10.11648/j.ajtte.20230802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20230802.11},
  abstract = {In order to systematically analyze and summarize the research status and development trend of draft observation, co-work cluster analysis base on draft observation was carried out by using knowledge VOS viewer software. Two research hotspots of draft observation were obtained, human visual observation combined with auxiliary equipment and artificial intelligence observation. The object and method of ship draft observation are summarized, and the main research direction is analyzed. The analysis focuses on improving observation accuracy, reducing labor costs, and being able to apply in complex environments. Future research directions of draft observation mainly include how to combine the traditional ship draft observation with artificial intelligence in the future, reduce error of draft observation to millimeters, identify obstacles, explore neural network autonomous learning optimization models, reduce the observation time and labor cost and meet the requirements of diversified application scenarios. At the same time correct the attitude that the accuracy of the current human observation is not high enough or even a negative in the artificial intelligence research area, finally promote the ship, insurance assessment, maritime and other aspects, in order to make the technology which combined artificial observation with intelligent assistance can be applied in practice to solve relevant lawsuits and provide an authoritative legal basis, and be used as the legal basis in the declaration of the ship and subsequent legal disputes.},
 year = {2023}
}

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TY  - JOUR
T1  - Research Review of Ship Draft Observation Methods
AU  - Yaoming Wei
Y1  - 2023/03/28
PY  - 2023
N1  - https://doi.org/10.11648/j.ajtte.20230802.11
DO  - 10.11648/j.ajtte.20230802.11
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 33
EP  - 42
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20230802.11
AB  - In order to systematically analyze and summarize the research status and development trend of draft observation, co-work cluster analysis base on draft observation was carried out by using knowledge VOS viewer software. Two research hotspots of draft observation were obtained, human visual observation combined with auxiliary equipment and artificial intelligence observation. The object and method of ship draft observation are summarized, and the main research direction is analyzed. The analysis focuses on improving observation accuracy, reducing labor costs, and being able to apply in complex environments. Future research directions of draft observation mainly include how to combine the traditional ship draft observation with artificial intelligence in the future, reduce error of draft observation to millimeters, identify obstacles, explore neural network autonomous learning optimization models, reduce the observation time and labor cost and meet the requirements of diversified application scenarios. At the same time correct the attitude that the accuracy of the current human observation is not high enough or even a negative in the artificial intelligence research area, finally promote the ship, insurance assessment, maritime and other aspects, in order to make the technology which combined artificial observation with intelligent assistance can be applied in practice to solve relevant lawsuits and provide an authoritative legal basis, and be used as the legal basis in the declaration of the ship and subsequent legal disputes.
VL  - 8
IS  - 2
ER  -

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Author Information

Yaoming Wei

Merchant Marine College, Shanghai Maritime University, Shanghai, China

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Plain Text BibTeX RIS

APA Style

Yaoming Wei. (2023). Research Review of Ship Draft Observation Methods. American Journal of Traffic and Transportation Engineering, 8(2), 33-42. https://doi.org/10.11648/j.ajtte.20230802.11

Copy | Download

ACS Style

Yaoming Wei. Research Review of Ship Draft Observation Methods. Am. J. Traffic Transp. Eng. 2023, 8(2), 33-42. doi: 10.11648/j.ajtte.20230802.11

Copy | Download

AMA Style

Yaoming Wei. Research Review of Ship Draft Observation Methods. Am J Traffic Transp Eng. 2023;8(2):33-42. doi: 10.11648/j.ajtte.20230802.11

Copy | Download

@article{10.11648/j.ajtte.20230802.11,
  author = {Yaoming Wei},
  title = {Research Review of Ship Draft Observation Methods},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {8},
  number = {2},
  pages = {33-42},
  doi = {10.11648/j.ajtte.20230802.11},
  url = {https://doi.org/10.11648/j.ajtte.20230802.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20230802.11},
  abstract = {In order to systematically analyze and summarize the research status and development trend of draft observation, co-work cluster analysis base on draft observation was carried out by using knowledge VOS viewer software. Two research hotspots of draft observation were obtained, human visual observation combined with auxiliary equipment and artificial intelligence observation. The object and method of ship draft observation are summarized, and the main research direction is analyzed. The analysis focuses on improving observation accuracy, reducing labor costs, and being able to apply in complex environments. Future research directions of draft observation mainly include how to combine the traditional ship draft observation with artificial intelligence in the future, reduce error of draft observation to millimeters, identify obstacles, explore neural network autonomous learning optimization models, reduce the observation time and labor cost and meet the requirements of diversified application scenarios. At the same time correct the attitude that the accuracy of the current human observation is not high enough or even a negative in the artificial intelligence research area, finally promote the ship, insurance assessment, maritime and other aspects, in order to make the technology which combined artificial observation with intelligent assistance can be applied in practice to solve relevant lawsuits and provide an authoritative legal basis, and be used as the legal basis in the declaration of the ship and subsequent legal disputes.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Research Review of Ship Draft Observation Methods
AU  - Yaoming Wei
Y1  - 2023/03/28
PY  - 2023
N1  - https://doi.org/10.11648/j.ajtte.20230802.11
DO  - 10.11648/j.ajtte.20230802.11
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 33
EP  - 42
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20230802.11
AB  - In order to systematically analyze and summarize the research status and development trend of draft observation, co-work cluster analysis base on draft observation was carried out by using knowledge VOS viewer software. Two research hotspots of draft observation were obtained, human visual observation combined with auxiliary equipment and artificial intelligence observation. The object and method of ship draft observation are summarized, and the main research direction is analyzed. The analysis focuses on improving observation accuracy, reducing labor costs, and being able to apply in complex environments. Future research directions of draft observation mainly include how to combine the traditional ship draft observation with artificial intelligence in the future, reduce error of draft observation to millimeters, identify obstacles, explore neural network autonomous learning optimization models, reduce the observation time and labor cost and meet the requirements of diversified application scenarios. At the same time correct the attitude that the accuracy of the current human observation is not high enough or even a negative in the artificial intelligence research area, finally promote the ship, insurance assessment, maritime and other aspects, in order to make the technology which combined artificial observation with intelligent assistance can be applied in practice to solve relevant lawsuits and provide an authoritative legal basis, and be used as the legal basis in the declaration of the ship and subsequent legal disputes.
VL  - 8
IS  - 2
ER  -

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