Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data
Junchen Li,
Sijie Lin,
Liang Zhang
et al.
Abstract:Efficiently predicting effluent quality through data-driven analysis presents a significant advancement for consistent wastewater treatment operations. In this study, we aimed to develop an integrated method for predicting effluent COD and NH3 levels. We employed a 200 L pilot-scale sequencing batch reactor (SBR) to gather multimodal data from urban sewage over 40 d. Then we collected data on critical parameters like COD, DO, pH, NH3, EC, ORP, SS, and water temperature, alongside wastewater surface images, res… Show more
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