基于深度学习和改性载体炭滤芯的水处理系统及方法
By using modified carrier carbon filter cartridges and deep learning technology, the shortcomings of traditional activated carbon filter cartridges in disinfection and heavy metal removal have been solved, achieving simultaneous and efficient removal of pathogenic microorganisms and heavy metal ions, and improving the intelligent level of water quality anomaly identification and filter cartridge life prediction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU HUISHUI TECH CO LTD
- Filing Date
- 2025-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional activated carbon filters have limitations in disinfection and heavy metal removal. They cannot effectively inactivate pathogenic microorganisms, have poor selectivity in heavy metal ion adsorption, and lack a predictive model for intelligently assessing filter lifespan, leading to system complexity and resource waste.
A modified carrier carbon filter cartridge is used. By bonding organic sulfur ligands to the surface of the activated carbon carrier and loading silver ions and auxiliary adsorbents, combined with a multi-source water quality sensing module and deep learning technology, the simultaneous removal of pathogenic microorganisms and heavy metal ions is achieved. Furthermore, water quality anomalies are identified and filter cartridge lifespan is predicted by using a high-order cross-structure embedding model and a placeholder-enhanced Transformer model.
It significantly improves the ability of activated carbon to inactivate pathogenic microorganisms and adsorb heavy metal ions, enhances the accuracy of water quality anomaly identification and the precision of filter cartridge life prediction, and realizes intelligent management and resource optimization of filter cartridges.
Smart Images
Figure CN120717532B_ABST