污水处理
转化式学习
废水
互联网
质量(理念)
污水
钥匙(锁)
计算机科学
工程类
环境工程
万维网
计算机安全
心理学
教育学
哲学
认识论
作者
Aijie Wang,Hewen Li,Zhejun He,Yu Tao,Hongcheng Wang,Min Yang,Dragan Savić,Glen T. Daigger,Nan-Qi Ren
出处
期刊:Engineering
[Elsevier BV]
日期:2024-05-01
卷期号:36: 21-35
被引量:31
标识
DOI:10.1016/j.eng.2024.04.012
摘要
The digital twins concept enhances modeling and simulation through the integration of real-time data and feedback. This review elucidates the foundational elements of digital twins, covering their concept, entities, domains, and key technologies. More specifically, we investigate the transformative potential of digital twins for the wastewater treatment engineering sector. Our discussion highlights the application of digital twins to wastewater treatment plants (WWTPs) and sewage networks, hardware (i.e., facilities and pipes, sensors for water quality and activated sludge, hydrodynamics, and power consumption), and software (i.e., knowledge-based and data-driven models, mechanistic models, hybrid twins, control methods, and the Internet of Things). Furthermore, two cases are provided, followed by an assessment of current challenges in and perspectives on the application of digital twins in WWTPs. This review serves as an essential primer for wastewater engineers navigating the digital paradigm shift.
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