Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)

Study of Moisture Content Automatic Detection Based on Single Chip Microcomputer

Authors
Caixia Liu, Zhuanye Li, Qingzhi Yan, Yanyan Hou
Corresponding Author
Caixia Liu
Available Online September 2016.
DOI
10.2991/icmmbe-16.2016.33How to use a DOI?
Keywords
moisture content; crude oil; capacitance sensor; dielectric constant; single chip microcomputer
Abstract

Precise and high efficiency of moisture content detection is important to the oil production and management in the oil chemical industry. In this paper, a new technology on moisture content automatic detection based on single chip microcomputer is proposed. This system can accurately measure the moisture content automatically of the crude oil oilcan in department of oil and chemical.

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/).

Download article (PDF)

Volume Title
Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)
Series
Advances in Engineering Research
Publication Date
September 2016
ISBN
10.2991/icmmbe-16.2016.33
ISSN
2352-5401
DOI
10.2991/icmmbe-16.2016.33How 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  - Caixia Liu
AU  - Zhuanye Li
AU  - Qingzhi Yan
AU  - Yanyan Hou
PY  - 2016/09
DA  - 2016/09
TI  - Study of Moisture Content Automatic Detection Based on Single Chip Microcomputer
BT  - Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)
PB  - Atlantis Press
SP  - 171
EP  - 174
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmbe-16.2016.33
DO  - 10.2991/icmmbe-16.2016.33
ID  - Liu2016/09
ER  -