Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

Shipboard Waste Incineration Online Accuracy Monitoring

Authors
Xin'En Chen, Shijun Guo, Haofeng Qing
Corresponding Author
Xin'En Chen
Available Online July 2017.
DOI
10.2991/icadme-16.2016.81How to use a DOI?
Keywords
shipboard incinerator, monitoring and control system, PLC, remote monitorin
Abstract

Focused on uneasy monitoring of shipboard incineration, we employ the latest achievements of automation and information technology as well as PLC to successfully realize intelligent and ship-shore monitoring. In terms of combustion monitoring, various system parameters are under strict and real-time monitoring, and operation data on shipboard incinerator would then be transmitted to the shore through Internet, which can realize remote monitoring and control of environmental protection equipment. It is a new model to protect marine environment. This burning and monitoring system is of high reliability, excellent function and advanced technology, enjoying broad market prospects.

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 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
10.2991/icadme-16.2016.81
ISSN
2352-5401
DOI
10.2991/icadme-16.2016.81How 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  - Xin'En Chen
AU  - Shijun Guo
AU  - Haofeng Qing
PY  - 2017/07
DA  - 2017/07
TI  - Shipboard Waste Incineration Online Accuracy Monitoring
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 480
EP  - 484
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.81
DO  - 10.2991/icadme-16.2016.81
ID  - Chen2017/07
ER  -