Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

A Novel Ultrasonic Water Pollution Detector Based on WSN

Authors
Yili Wang, Jianguo Gong, Shuwen Jin, Yongjie Lu, Chuanrui Mei, Zhongwei Zhao
Corresponding Author
Yili Wang
Available Online December 2016.
DOI
10.2991/mcei-16.2016.249How to use a DOI?
Keywords
Ultrasonic detector; WSN; Curve squares filter; Vector-difference
Abstract

This paper proposes a novel ultrasonic detector of water pollution based on WSN. The proposed vector difference algorithm on one time period can precisely calculate the velocity and height of drainage water pollution. The captured data with the detector will be transmitted to the server by WSN. Compared the popular detectors in the market, the detector in this paper is not only used to water pollution but used to any industry field if which need low-cost application or low-power remote detection.

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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Volume Title
Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/mcei-16.2016.249
ISSN
1951-6851
DOI
10.2991/mcei-16.2016.249How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yili Wang
AU  - Jianguo Gong
AU  - Shuwen Jin
AU  - Yongjie Lu
AU  - Chuanrui Mei
AU  - Zhongwei Zhao
PY  - 2016/12
DA  - 2016/12
TI  - A Novel Ultrasonic Water Pollution Detector Based on WSN
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1211
EP  - 1215
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.249
DO  - 10.2991/mcei-16.2016.249
ID  - Wang2016/12
ER  -