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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Vydáno v:	Journal of water process engineering Ročník 77; s. 108316
Hlavní autoři:	Ma, Zeyu, Zhu, Yunyi, Chen, Chunsheng, Li, Ting, Li, Yanan, Li, Xiaoding, Wang, Yuan, Waite, T. David, Guan, Jing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2025
Témata:	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
On-line přístup:	Získat plný text
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