污水处理工程中的数字孪生技术（英文）
作者机构：School of Civil and Environmental Engineering Harbin Institute of Technology (Shenzhen) State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Department of Civil and Environmental Engineering Cornell University BIOMATH Department of Data Analysis and Mathematical Modelling Ghent University KWR Water Research Institute Centre for Water Systems University of Exeter Department of Civil and Environmental Engineering University of Michigan
出 版 物：《Engineering》 (工程(英文))
年 卷 期：2024年第5期
页 面：21-35页
核心收录：
学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by the National Natural Science Foundation of China (52321005, 52293443, and 52230004) the Shenzhen Science and Technology Program (KQTD20190929172630447) the Shenzhen Key Research Project (GXWD20220817145054002) the Talent Recruitment Project of Guandong (2021QN020106)
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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