Real-time quantification of activated sludge concentration and viscosity through deep learning of microscopic images

Real-time quantification of activated sludge concentration and viscosity through deep learning of microscopic images

The parameters of activatedg sludge are crucial for the daily operation of wastewater treatment plants (WWTPs). In particular, mixed liquor suspended solids (MLSS) and apparent viscosity provide metrics for the biomass and rheological properties of activated sludge. Traditional methods for determini...

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Bibliographic Details
Main Authors: Hewen Li, Yu Tao, Tiefu Xu, Hongcheng Wang, Min Yang, Ying Chen, Aijie Wang
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Environmental Science and Ecotechnology
Subjects:
Activated sludge
MLSS
Viscosity
Image
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666498425000055
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