Deep learning-based method for predicting settleability of activated sludge
US12430787B2 · kind B2 · utility
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Key dates
| Filing date | Sep 1, 2023 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Jun 24, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldEnvironmental technology
- WIPO sectorChemistry
Abstract
A deep learning-based method for predicting the settleability of activated sludge includes: (1) collecting a plurality of activated sludge samples, acquiring raw data of images of the plurality of activated sludge samples, cleaning the raw data of the images, and standardizing data sizes of the images; (2) calculating a sludge volume index (SVI) for each of the plurality of activated sludge samples; (3) establishing, by using a ResNet50 deep neural network, a model for predicting the settleability of activated sludge; and (4) predicting the settleability of a target activated sludge using the model established in (3).
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