一种絮凝加药控制方法、装置、电子设备及存储介质
By constructing a sample set covering various typical operating conditions, training multiple initial prediction models, and selecting the target prediction model with the best performance, the problem of high dependence on operator experience in existing flocculation dosing control methods is solved, realizing intelligent and economical control of flocculation process parameters and improving the quality of wastewater treatment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING JINDAYU ENVIRONMENT TECH CO LTD
- Filing Date
- 2026-01-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing flocculation dosing control methods are highly dependent on the operator's experience and are difficult to adapt quickly to dynamic changes in operating conditions, resulting in unstable wastewater treatment effects.
By constructing a sample set covering various typical working conditions, training multiple initial prediction models, selecting the target prediction model with the best performance, and combining it with real-time data to calculate flocculation process parameters, intelligent control is achieved.
It reduces reliance on large-scale samples, improves model prediction accuracy, dynamically responds to fluctuations in influent water quality, reduces reliance on professional technicians, and enables intelligent and economical recommendation of flocculation process parameters.
Smart Images
Figure CN121894773B_ABST