Batch settling curve registration via image data modeling

WATER RESEARCH

卷:114

Article

Derlon, Nicolas^1,2  Thuerlimann, Christian^1,2  Duerrenmatt, David³  Villez, Kris¹ 

[1] Eawag, Dept Proc Engn, Uberlandstr 133, CH-8600 Dubendorf, Switzerland

[2] Swiss Fed Inst Technol, Inst Environm Engn, CH-8093 Zurich, Switzerland

[3] Rittmeyer AG, Inwilerriedstr 57, CH-6341 Baar, Switzerland

关键词: Secondary clarifiers;    Separation processes;    Shape constrained splines;    Sludge blanket height;    Sludge settling;    Wastewater treatment;   

DOI  :  10.1016/j.watres.2017.01.049

来源: Elsevier

【 摘 要 】

To this day, obtaining reliable characterization of sludge settling properties remains a challenging and time-consuming task. Without such assessments however, optimal design and operation of secondary settling tanks is challenging and conservative approaches will remain necessary. With this study, we show that automated sludge blanket height registration and zone settling velocity estimation is possible thanks to analysis of images taken during batch settling experiments. The experimental setup is particularly interesting for practical applications as it consists of off-the-shelf components only, no moving parts are required, and the software is released publicly. Furthermore, the proposed multivariate shape constrained spline model for image analysis appears to be a promising method for reliable sludge blanket height profile registration. (C) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

Free