Application of Artificial Intelligence in Ship Integrated Navigation System

Ning Li

doi:doi:10.11648/j.ijtet.20210704.14

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Application of Artificial Intelligence in Ship Integrated Navigation System

Ning Li

Published in International Journal of Transportation Engineering and Technology (Volume 7, Issue 4)

Received: 11 November 2021 Accepted: 22 November 2021 Published: 11 December 2021

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Abstract

With the continuous development of navigation, modern ships put forward higher requirements for the accuracy, reliability and intelligence of navigation system. Aiming at the problems existing in the existing ship navigation system, such as insufficient navigation information fusion accuracy, increasingly important navigation safety guarantee and increasing system failure frequency, based on ship integrated navigation system, the navigation system based on artificial intelligence technology is studied. The application of artificial intelligence technology in Kalman filter fusion, navigation collision avoidance decision and intelligent fault diagnosis is deeply studied, and the navigation intelligent collision avoidance expert system is established to judge whether there will be dangerous situations such as collision, and then the decision-making gives the avoidance action plan; The navigation fault diagnosis expert system based on neural network is established to automatically diagnose the random and sudden faults such as ship equipment dysfunction or data abnormality, and the diagnosis results are given and explained. The results show that artificial intelligence technology can effectively improve the accuracy and reliability of data fusion, automatically generate collision avoidance strategies and optimization schemes when ships meet dangerous targets, and realize intelligent fault diagnosis of navigation system. It has important theoretical guiding significance for the development of new ship integrated navigation system towards higher precision, higher reliability and intelligence.

Published in	International Journal of Transportation Engineering and Technology (Volume 7, Issue 4)
DOI	10.11648/j.ijtet.20210704.14
Page(s)	110-117
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), 2024. Published by Science Publishing Group

Keywords

Integrated Navigation, Fault Diagnosis, Collision Avoidance, Artificial Intelligent, Information Fusion

References

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[4]	YIN Hu, CAO Xu, 2021. An Overview of the Application of Artificial Intelligence Technology [J]. Ship Electronic Engineering. 12-18.8.
[5]	Shen H, Hashimoto H, Matsuda A, et al, 2019. Automatic collision avoidance of multiple ships based on deep Q-learning [J]. Applied Ocean Research. 268-288.9.
[6]	Wang Feng, 2018. Research on vehicle integrated navigation algorithm based on federated Kalman filter [D]. Harbin Engineering University. 25-29.4.
[7]	Besikci E B, Arslan O, Turan O, et al, 2016. An artificial neural network based decision support system for energy efficient ship operations [J]. Computers & Operations Research. 393-401.15.
[8]	Zhao L, Shi G, 2018. A method for simplifying ship trajectory based on improved Douglas – Peucker algorithm [J]. Ocean Engineering. 37-46.10.
[9]	Bao Hongyang, 2017. Research on automatic mathematical model of ship’s automatic intelligent collision and its computer simulation [J]. Ship Science and Technology. 164-169.5.
[10]	Pietrzykowski Z, Magaj J, Wołejsza, Piotr, et al, 2010. Fuzzy logic in the navigational decision support process onboard a sea-going vessel [J]. Lecture Notes in Computer Science. 185-193.13.
[11]	Hu Shenping, 2001. Analysis of anti-collision stages during ships’ encounter [J]. Navigation of China. 83-87.6.
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APA Style

Ning Li. (2021). Application of Artificial Intelligence in Ship Integrated Navigation System. International Journal of Transportation Engineering and Technology, 7(4), 110-117. https://doi.org/10.11648/j.ijtet.20210704.14

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ACS Style

Ning Li. Application of Artificial Intelligence in Ship Integrated Navigation System. Int. J. Transp. Eng. Technol. 2021, 7(4), 110-117. doi: 10.11648/j.ijtet.20210704.14

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AMA Style

Ning Li. Application of Artificial Intelligence in Ship Integrated Navigation System. Int J Transp Eng Technol. 2021;7(4):110-117. doi: 10.11648/j.ijtet.20210704.14

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@article{10.11648/j.ijtet.20210704.14,
  author = {Ning Li},
  title = {Application of Artificial Intelligence in Ship Integrated Navigation System},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {7},
  number = {4},
  pages = {110-117},
  doi = {10.11648/j.ijtet.20210704.14},
  url = {https://doi.org/10.11648/j.ijtet.20210704.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20210704.14},
  abstract = {With the continuous development of navigation, modern ships put forward higher requirements for the accuracy, reliability and intelligence of navigation system. Aiming at the problems existing in the existing ship navigation system, such as insufficient navigation information fusion accuracy, increasingly important navigation safety guarantee and increasing system failure frequency, based on ship integrated navigation system, the navigation system based on artificial intelligence technology is studied. The application of artificial intelligence technology in Kalman filter fusion, navigation collision avoidance decision and intelligent fault diagnosis is deeply studied, and the navigation intelligent collision avoidance expert system is established to judge whether there will be dangerous situations such as collision, and then the decision-making gives the avoidance action plan; The navigation fault diagnosis expert system based on neural network is established to automatically diagnose the random and sudden faults such as ship equipment dysfunction or data abnormality, and the diagnosis results are given and explained. The results show that artificial intelligence technology can effectively improve the accuracy and reliability of data fusion, automatically generate collision avoidance strategies and optimization schemes when ships meet dangerous targets, and realize intelligent fault diagnosis of navigation system. It has important theoretical guiding significance for the development of new ship integrated navigation system towards higher precision, higher reliability and intelligence.},
 year = {2021}
}

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TY  - JOUR
T1  - Application of Artificial Intelligence in Ship Integrated Navigation System
AU  - Ning Li
Y1  - 2021/12/11
PY  - 2021
N1  - https://doi.org/10.11648/j.ijtet.20210704.14
DO  - 10.11648/j.ijtet.20210704.14
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 110
EP  - 117
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20210704.14
AB  - With the continuous development of navigation, modern ships put forward higher requirements for the accuracy, reliability and intelligence of navigation system. Aiming at the problems existing in the existing ship navigation system, such as insufficient navigation information fusion accuracy, increasingly important navigation safety guarantee and increasing system failure frequency, based on ship integrated navigation system, the navigation system based on artificial intelligence technology is studied. The application of artificial intelligence technology in Kalman filter fusion, navigation collision avoidance decision and intelligent fault diagnosis is deeply studied, and the navigation intelligent collision avoidance expert system is established to judge whether there will be dangerous situations such as collision, and then the decision-making gives the avoidance action plan; The navigation fault diagnosis expert system based on neural network is established to automatically diagnose the random and sudden faults such as ship equipment dysfunction or data abnormality, and the diagnosis results are given and explained. The results show that artificial intelligence technology can effectively improve the accuracy and reliability of data fusion, automatically generate collision avoidance strategies and optimization schemes when ships meet dangerous targets, and realize intelligent fault diagnosis of navigation system. It has important theoretical guiding significance for the development of new ship integrated navigation system towards higher precision, higher reliability and intelligence.
VL  - 7
IS  - 4
ER  -

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Author Information

Ning Li

Department of Navigational Technology, Merchant Marine College, Shanghai Maritime University, Shanghai, P. R. China

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Plain Text BibTeX RIS

APA Style

Ning Li. (2021). Application of Artificial Intelligence in Ship Integrated Navigation System. International Journal of Transportation Engineering and Technology, 7(4), 110-117. https://doi.org/10.11648/j.ijtet.20210704.14

Copy | Download

ACS Style

Ning Li. Application of Artificial Intelligence in Ship Integrated Navigation System. Int. J. Transp. Eng. Technol. 2021, 7(4), 110-117. doi: 10.11648/j.ijtet.20210704.14

Copy | Download

AMA Style

Ning Li. Application of Artificial Intelligence in Ship Integrated Navigation System. Int J Transp Eng Technol. 2021;7(4):110-117. doi: 10.11648/j.ijtet.20210704.14

Copy | Download

@article{10.11648/j.ijtet.20210704.14,
  author = {Ning Li},
  title = {Application of Artificial Intelligence in Ship Integrated Navigation System},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {7},
  number = {4},
  pages = {110-117},
  doi = {10.11648/j.ijtet.20210704.14},
  url = {https://doi.org/10.11648/j.ijtet.20210704.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20210704.14},
  abstract = {With the continuous development of navigation, modern ships put forward higher requirements for the accuracy, reliability and intelligence of navigation system. Aiming at the problems existing in the existing ship navigation system, such as insufficient navigation information fusion accuracy, increasingly important navigation safety guarantee and increasing system failure frequency, based on ship integrated navigation system, the navigation system based on artificial intelligence technology is studied. The application of artificial intelligence technology in Kalman filter fusion, navigation collision avoidance decision and intelligent fault diagnosis is deeply studied, and the navigation intelligent collision avoidance expert system is established to judge whether there will be dangerous situations such as collision, and then the decision-making gives the avoidance action plan; The navigation fault diagnosis expert system based on neural network is established to automatically diagnose the random and sudden faults such as ship equipment dysfunction or data abnormality, and the diagnosis results are given and explained. The results show that artificial intelligence technology can effectively improve the accuracy and reliability of data fusion, automatically generate collision avoidance strategies and optimization schemes when ships meet dangerous targets, and realize intelligent fault diagnosis of navigation system. It has important theoretical guiding significance for the development of new ship integrated navigation system towards higher precision, higher reliability and intelligence.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Application of Artificial Intelligence in Ship Integrated Navigation System
AU  - Ning Li
Y1  - 2021/12/11
PY  - 2021
N1  - https://doi.org/10.11648/j.ijtet.20210704.14
DO  - 10.11648/j.ijtet.20210704.14
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 110
EP  - 117
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20210704.14
AB  - With the continuous development of navigation, modern ships put forward higher requirements for the accuracy, reliability and intelligence of navigation system. Aiming at the problems existing in the existing ship navigation system, such as insufficient navigation information fusion accuracy, increasingly important navigation safety guarantee and increasing system failure frequency, based on ship integrated navigation system, the navigation system based on artificial intelligence technology is studied. The application of artificial intelligence technology in Kalman filter fusion, navigation collision avoidance decision and intelligent fault diagnosis is deeply studied, and the navigation intelligent collision avoidance expert system is established to judge whether there will be dangerous situations such as collision, and then the decision-making gives the avoidance action plan; The navigation fault diagnosis expert system based on neural network is established to automatically diagnose the random and sudden faults such as ship equipment dysfunction or data abnormality, and the diagnosis results are given and explained. The results show that artificial intelligence technology can effectively improve the accuracy and reliability of data fusion, automatically generate collision avoidance strategies and optimization schemes when ships meet dangerous targets, and realize intelligent fault diagnosis of navigation system. It has important theoretical guiding significance for the development of new ship integrated navigation system towards higher precision, higher reliability and intelligence.
VL  - 7
IS  - 4
ER  -

Copy | Download