Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

Construction and Prospect of Water Distribution Network Information System in Central Areas of Shanghai

Authors
Shihu Shu, Minqun Meng, Lijian Zhang, Xinyue Liu
Corresponding Author
Shihu Shu
Available Online December 2017.
DOI
10.2991/ecae-17.2018.75How to use a DOI?
Keywords
water distribution network; digital water quality; information platform; model application; system integration
Abstract

The overview of water distribution network information system in central areas of Shanghai was described in this paper. Existing problems were analyzed and further applications of hydraulic model and water quality model to the water distribution network were discussed as well. The development and application of water quality model should be strengthened. It was recommended that each part of the information system should be maintained, updated in a timely manner in order to construct an integrated water distribution network information system.

Copyright
© 2018, 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 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
10.2991/ecae-17.2018.75
ISSN
2352-5401
DOI
10.2991/ecae-17.2018.75How to use a DOI?
Copyright
© 2018, 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  - Shihu Shu
AU  - Minqun Meng
AU  - Lijian Zhang
AU  - Xinyue Liu
PY  - 2017/12
DA  - 2017/12
TI  - Construction and Prospect of Water Distribution Network Information System in Central Areas of Shanghai
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 348
EP  - 351
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.75
DO  - 10.2991/ecae-17.2018.75
ID  - Shu2017/12
ER  -