Optimize IoT for Operating Wastewater Treatment Plant based on Visualizing User’S Thinking

J. C. Chen, Y. J. Lin, Z. H. Tsai

Abstract

Sewer system is the major facility of avoiding improper disposal of wastewater. As expanding wastewater treatment into rural areas, the supervision and the operation will be more difficult. The fast innovation of IoT in sensor, wireless communication and smart control is gaining more and more expectation of IoT to be the next-generation option of control system in wastewater treatment plant. At present IoT technology is moving rapidly and its market is very competitive. There are still many uncertainties while making the decision of upgrading control system to IoT. After all using IoT is an investment, the fault of choosing an unpopular product and then losing support before long should be avoided. This study shares the experiences how to identify the needs of IoT based on visualizing user's thinking and then propose an optimal design of IoT to operating a wastewater treatment plant.

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Paper Citation


in Harvard Style

Chen J., Lin Y. and Tsai Z. (2018). Optimize IoT for Operating Wastewater Treatment Plant based on Visualizing User’S Thinking.In Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE, ISBN 978-989-758-344-5, pages 444-452. DOI: 10.5220/0007561904440452


in Bibtex Style

@conference{iwemse18,
author={J. C. Chen and Y. J. Lin and Z. H. Tsai},
title={Optimize IoT for Operating Wastewater Treatment Plant based on Visualizing User’S Thinking},
booktitle={Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE,},
year={2018},
pages={444-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007561904440452},
isbn={978-989-758-344-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE,
TI - Optimize IoT for Operating Wastewater Treatment Plant based on Visualizing User’S Thinking
SN - 978-989-758-344-5
AU - Chen J.
AU - Lin Y.
AU - Tsai Z.
PY - 2018
SP - 444
EP - 452
DO - 10.5220/0007561904440452