Enhancing efficiency and quality control: The impact of Digital Twins in drinking water networks.

IF 2.5 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Water Environment Research Pub Date : 2024-10-01 DOI:10.1002/wer.11139
Sergi Baena-Miret, Marta Alet Puig, Rafael Bardisa Rodes, Laura Bonastre Farran, Santiago Durán, Marta Ganzer Martí, Eduardo Martínez-Gomariz, Antonio Carrasco Valverde
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Abstract

This paper showcases the successful development and implementation of two Digital Twin prototypes within the Lab Digital Twins project, designed to enhance the efficiency and quality control of Aigües de Barcelona's drinking water network. The first prototype focuses on asset management, using (near) real-time data and statistical models, and achieving a 70% success rate in predicting pump station failures 137 days in advance. The second prototype addresses water quality monitoring, leveraging machine learning to accurately forecast trihalomethane levels at key points in the distribution system, and enabling proactive water quality management strategies, ensuring compliance with stringent safety standards and safeguarding public health. The paper details the methodology of both prototypes, highlighting their potential to revolutionize water network management. PRACTITIONER POINTS: Digital representation of assets and processes in the drinking water treatment network Early fault detection in assets, and predictions of trihalomethane formation in the drinking water distribution network Reduction on monitoring time and incident response for target assets by means of Digital Twins Improvement in visualization, prediction, and proactive measures for asset management and water quality control Contribution to the growing knowledge on Digital Twins and their potential to revolutionize water network operations.

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提高效率和质量控制:数字双胞胎在饮用水网络中的影响。
本文展示了在实验室数字孪生项目中成功开发和实施的两个数字孪生原型,旨在提高 Aigües de Barcelona 饮用水网络的效率和质量控制。第一个原型侧重于资产管理,使用(接近)实时数据和统计模型,提前 137 天预测泵站故障的成功率达到 70%。第二个原型针对水质监测,利用机器学习准确预测配水系统关键点的三卤甲烷水平,并制定积极主动的水质管理策略,确保符合严格的安全标准,保障公众健康。本文详细介绍了这两个原型的方法论,强调了它们在彻底改变水网管理方面的潜力。实践点:对饮用水处理网络中的资产和流程进行数字表示 对资产中的故障进行早期检测,并预测饮用水输水管网中三卤甲烷的形成 通过数字孪生系统减少对目标资产的监控时间和事故响应 改善资产管理和水质控制的可视化、预测和主动措施 促进对数字孪生系统及其彻底改变水网运行的潜力的了解。
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来源期刊
Water Environment Research
Water Environment Research 环境科学-工程:环境
CiteScore
6.30
自引率
0.00%
发文量
138
审稿时长
11 months
期刊介绍: Published since 1928, Water Environment Research (WER) is an international multidisciplinary water resource management journal for the dissemination of fundamental and applied research in all scientific and technical areas related to water quality and resource recovery. WER''s goal is to foster communication and interdisciplinary research between water sciences and related fields such as environmental toxicology, agriculture, public and occupational health, microbiology, and ecology. In addition to original research articles, short communications, case studies, reviews, and perspectives are encouraged.
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