Towards the digitalization of water treatment facilities: A case study on machine learning-enabled digital twins

The digital transformation of water treatment facilities through machine learning-enabled Digital Twins (ML-DTs) offers a paradigm shift in sustainable water management. This work introduces an embedded DT framework that seamlessly integrates water treatment facility equipment, middleware, cloud com...

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Veröffentlicht in:	Journal of water process engineering Jg. 77; S. 108316
Hauptverfasser:	Ma, Zeyu, Zhu, Yunyi, Chen, Chunsheng, Li, Ting, Li, Yanan, Li, Xiaoding, Wang, Yuan, Waite, T. David, Guan, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025
Schlagworte:	Artificial intelligence (AI) Digital twin Digital water Internet of things (IoT) Water and wastewater treatment plants Water and wastewater treatment plants Digital twin Artificial intelligence (AI) Digital water Internet of things (IoT)
ISSN:	2214-7144, 2214-7144
Online-Zugang:	Volltext
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