Software-Defined Decentralized Domestic Wastewater Treatment: 1st Milestone

Cheng Pang, Di Wu, Wenbin Dai, Anna Mikola, Tommi A. Karhela, Valeriy Vyatkin

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Water scarcity has been intensified globally due to the rapid growth of economic and population. Wastewater treatment and recycling is one of the most feasible strategies for meeting the ever-increasing water usage. However, conventional centralized wastewater treatment plants are being stretched to their limits with the emerging urban structures. To mitigate this situation, this paper proposes a decentralized treatment solution for domestic wastewater leveraging the recent advancements in instrumentation, automation, and information technologies. In particular, a 60-ton adjustable secondary wastewater treatment facility has been designed as a foundation, upon which in-situ monitoring, software-centric automation system, and industrial edge-cloud computing platform have been deployed to form a holistic solution. The resultant facility has been consecutively and successfully operating onsite to date.

Original languageEnglish
Title of host publicationProceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
PublisherIEEE
Pages3841-3846
Number of pages6
ISBN (Electronic)9781728154145
DOIs
Publication statusPublished - 18 Oct 2020
MoE publication typeA4 Article in a conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Virtual, Singapore, Singapore
Duration: 19 Oct 202021 Oct 2020
Conference number: 46

Publication series

Name Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X

Conference

ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
CountrySingapore
CitySingapore
Period19/10/202021/10/2020

Keywords

  • Decentralized wastewater treatment
  • Industrial edge-cloud computing
  • Software-defined automation systems

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