Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

A Design of Full-automatic Advanced Sludge Dewatering System

Authors
Xuxin Zhao, Huide Fu, Lin Fang, Lei Ma
Corresponding Author
Xuxin Zhao
Available Online January 2016.
DOI
10.2991/icsmim-15.2016.176How to use a DOI?
Keywords
Advanced sludge dewatering; Sludge conditioning; mechanically dewatering; Auto-control
Abstract

Advanced Sludge dewatering system is investigated by the approaches of physical and chemical pretreatment process to improve sludge dewatering performance, based on the degree of difficulty or ease together with the relationship analysis of the existing form of the sludge water. Systems of sludge pre-treatment, sludge filter press and auto-control are elucidated significantly, with the aim that accomplishing the sludge deep dewatering, and making the moisture content of sludge below 55%. This approach can suit to the manipulating locally of the sludge in the sewage treatment plant and save the investment of sludge storage storehouse as well as the cost of transportation.

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 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/icsmim-15.2016.176
ISSN
2352-538X
DOI
10.2991/icsmim-15.2016.176How 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  - Xuxin Zhao
AU  - Huide Fu
AU  - Lin Fang
AU  - Lei Ma
PY  - 2016/01
DA  - 2016/01
TI  - A Design of Full-automatic Advanced Sludge Dewatering System
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 957
EP  - 960
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.176
DO  - 10.2991/icsmim-15.2016.176
ID  - Zhao2016/01
ER  -