Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

Design of a Dynamic Ship Draft Detection System in Inland Navigation

Authors
Jiahai Zhou, Panpan Zhang
Corresponding Author
Jiahai Zhou
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.51How to use a DOI?
Keywords
Ship draft; ultra-draft; sensor array; detection platform; flexible adjustment.
Abstract

With the development of China's economic development, the waterborne transportation plays more and more important role. However, ultra-draft issues in inland shipping are becoming a big problem which will bring unsafe factors and affect the efficiency of inland navigation. Thus, ship waterline inspection are compulsive. In this paper, the draft detection techniques were summarized and the sensor array technique was chosen to set up the detection platform. Besides, a kind of ship draft detection equipment was designed and characteristics of the detection system were analyzed.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.51How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jiahai Zhou
AU  - Panpan Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Design of a Dynamic Ship Draft Detection System in Inland Navigation
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 287
EP  - 290
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.51
DO  - https://doi.org/10.2991/aiea-16.2016.51
ID  - Zhou2016/11
ER  -