YOULiang-zhou,CHENLi-na,FULin.Performance Optimization and Application Effect of Mixed Flocculation and Sedimentation Tank[J].China Water & Wastewater,2024,40(24):85-91.
Performance Optimization and Application Effect of Mixed Flocculation and Sedimentation Tank
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第40卷
Number:
第24期
Page:
85-91
Column:
Date of publication:
2024-12-17
- Keywords:
- image recognition; flocculation and sedimentation tank; alum floc; optimization and adjustment
- Abstract:
- As the preferred process equipment for turbidity removal, sedimentation tanks remove various impurities from water through natural sedimentation or coagulation sedimentation. However, due to their low degree of automation and heavy manual operation workload, the operating effect is often unsatisfactory. AI image recognition technology is used to calculate, analyze, classify, and convert the characteristics of alum flocs in water body, achieving online testing of the optimal coagulant dosage, full process monitoring of alum floc characteristics (particle size and quantity) in water, and visual control of sludge level. Combined with the hydraulic condition optimization of sedimentation tank structures, intelligent adjustment of sedimentation tank operation status is achieved. The research and application results show that the overall optimization and adjustment of the sedimentation tank through the intelligent control system can effectively improve the treatment capacity, reduce the turbidity of the effluent, the dosage of chemicals, the risk of fouling and blockage of downstream membrane equipment, the cleaning frequency of the membrane system, while promote the production and quality of water in the water treatment workshop.
Last Update:
2024-12-17