Research Center for Supervision, Safety and Automatic Control, Universitat Politècnica de Catalunya, Rambla Sant Nebridi 10, 0822 Terrassa, Spain.
Sustainability Area, Eurecat, Centre Tecnològic de Catalunya, Plaça de la Ciència, 2, 08243 Manresa, Spain.
Sensors (Basel). 2022 Jul 26;22(15):5578. doi: 10.3390/s22155578.
The quality of the drinking water distributed through the networks has become the main concern of most operators. This work focuses on one of the most important variables of the drinking water distribution networks (WDN) that use disinfection, chlorine. This powerful disinfectant must be dosed carefully in order to reduce disinfection byproducts (DBPs). The literature demonstrates researchers' interest in modelling chlorine decay and using several different approaches. Nevertheless, the full-scale application of these models is far from being a reality in the supervision of water distribution networks. This paper combines the use of validated chlorine prediction models with an intensive study of a large amount of data and its influence on the model's parameters. These parameters are estimated and validated using data coming from the Supervisory Control and Data Acquisition (SCADA) software, a full-scale water distribution system, and using off-line analytics. The result is a powerful methodology for calibrating a chlorine decay model on-line which coherently evolves over time along with the significant variables that influence it.
通过管网分配的饮用水的质量已成为大多数运营商最关心的问题。这项工作主要关注使用消毒的饮用水管网 (WDN) 的最重要变量之一，即氯。为了减少消毒副产物 (DBP)，这种强大的消毒剂必须小心投加。文献表明，研究人员对氯衰减建模和使用几种不同方法很感兴趣。然而，这些模型的全面应用在水分配网络的监督中还远远没有成为现实。本文将验证过的氯预测模型与大量数据及其对模型参数的影响的深入研究结合使用。使用来自监控和数据采集 (SCADA) 软件、大型水分配系统和离线分析的数据来估计和验证这些参数。其结果是一种强大的方法，可以在线校准氯衰减模型，该模型随着影响它的重要变量的时间推移而协同演变。
