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利用卡尔曼观测器在线估计污水处理厂生物反应器中的悬浮固体。

On-line estimation of suspended solids in biological reactors of WWTPs using a Kalman observer.

作者信息

Beltrán S, Irizar I, Monclús H, Rodríguez-Roda I, Ayesa E

机构信息

CEIT and Tecnun (University of Navarra), Section of Environmental Engineering, Paseo de Manuel Lardizábal 15, Donostia-San Sebastián 20018, Spain.

出版信息

Water Sci Technol. 2009;60(3):567-74. doi: 10.2166/wst.2009.302.

DOI:10.2166/wst.2009.302
PMID:19657151
Abstract

The total amount of solids in Wastewater Treatment Plants (WWTPs) and their distribution among the different elements and lines play a crucial role in the stability, performance and operational costs of the process. However, an accurate prediction of the evolution of solids concentration in the different elements of a WWTP is not a straightforward task. This paper presents the design, development and validation of a generic Kalman observer for the on-line estimation of solids concentration in the tank reactors of WWTPs. The proposed observer is based on the fact that the information about the evolution of the total amount of solids in the plant can be supplied by the available on-line Suspended Solids (SS) analysers, while their distribution can be simultaneously estimated from the hydraulic pattern of the plant. The proposed observer has been applied to the on-line estimation of SS in the reactors of a pilot-scale Membrane Bio-Reactor (MBR). The results obtained have shown that the experimental information supplied by a sole on-line SS analyser located in the first reactor of the pilot plant, in combination with updated information about internal flow rates data, has been able to give a reasonable estimation of the evolution of the SS concentration in all the tanks.

摘要

污水处理厂(WWTPs)中固体的总量及其在不同元素和流程中的分布对该工艺的稳定性、性能和运营成本起着至关重要的作用。然而,准确预测污水处理厂不同元素中固体浓度的变化并非易事。本文介绍了一种通用卡尔曼观测器的设计、开发和验证,用于在线估计污水处理厂罐体反应器中的固体浓度。所提出的观测器基于这样一个事实,即工厂中固体总量变化的信息可由现有的在线悬浮固体(SS)分析仪提供,而其分布可同时根据工厂的水力模式进行估计。所提出的观测器已应用于中试规模膜生物反应器(MBR)反应器中SS的在线估计。所得结果表明,位于中试工厂第一个反应器中的单个在线SS分析仪提供的实验信息,结合有关内部流速数据的更新信息,能够对所有罐体中SS浓度的变化给出合理估计。

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