XUZhong-yuan,GAOYi-lun,ZHOUFeng,et al.Application of Alum Dosing System Based on Self?learning Expert Database in Waterworks[J].China Water & Wastewater,2025,41(10):86-90.
Application of Alum Dosing System Based on Self?learning Expert Database in Waterworks
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第41卷
Number:
第10期
Page:
86-90
Column:
Date of publication:
2025-05-17
- Keywords:
- self-learning; expert knowledge; heuristic rules; intelligentization; waterworks; alum dosing system
- Abstract:
- To ensure drinking water quality and promote the transformation of waterworks towards intelligence and smartness, a waterworks of Wenzhou has developed heuristic rules based on its operational experience and established an alum dosing system with a self-learning expert database for the coagulation process in response to sudden changes in raw water, to rapidly generates more precise dosing plans for coagulants (alum). Verified through actual operational environments and evaluated by relevant inspection authorities, the alum dosing system has resulted in a year-on-year reduction in turbidity of the effluent by 1.29%-13.18% and a month-on-month reduction by 7.76%-12.20%. In situations where raw water conditions suddenly change, the application of the alum dosing system effectively could tackle the challenge of precise dosing of coagulant (alum), ensuring more stable effluent quality from the waterworks.
Last Update:
2025-05-17