Research on Algorithm of Sea Oily Soil Removal Technology of Intelligent Analysis and Recognition Based on Vague Set

DOI

10.2991/emcs-17.2017.164How to use a DOI?

Keywords

Vague set; Intelligent analysis; Image processing; Similarity measure; Priority

Abstract

A high resolution camera was suggested to be installed above oily soil extractor to recognize the oily soil on sea surface, which then was subjected to image processing to get data. The Vague water quality assessment method based on similarity measures between Vague sets would be applied to assess the water quality of the seawater polluted by oily soil. Three different regions in the simulated seawater polluted area was selected for water quality assessment and the objects to be collected with priority was determined, then the SCM was used to control the oily soil collector in front of oil storage ship to collect oily soil in motion, so as to quickly remove sea oily soil intelligently.

Copyright

© 2017, 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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TY  - CONF
AU  - Kun Zhang
AU  - Chong Shen
AU  - Haifeng Wang
AU  - Zhuang Li
PY  - 2017/03
DA  - 2017/03
TI  - Research on Algorithm of Sea Oily Soil Removal Technology of Intelligent Analysis and Recognition Based on Vague Set
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 861
EP  - 866
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.164
DO  - 10.2991/emcs-17.2017.164
ID  - Zhang2017/03
ER  -