Air blower optimization control system and method for wastewater treatment
By optimizing aeration parameters through feature collection and global optimization algorithms, the problem of high energy consumption in traditional wastewater treatment systems is solved, achieving efficient and energy-saving wastewater treatment.
CN120993811AActive Publication Date: 2025-11-21南通海济环保科技有限公司
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Patent Information
- Application Number
- CN202511479656.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-16
- Publication Date
- 2025-11-21
- Estimated Expiration
- 2045-10-16
AI Technical Summary
Technical Problem
传统废水处理系统在曝气环节能耗高，处理效率低，难以满足现代社会的高效、节能需求。
Method used
Wastewater characteristic information is obtained through the feature collection module, and aeration parameters are optimized using a dissolved oxygen demand prediction model and a global optimization algorithm to control the blower for energy-saving aeration treatment.
Benefits of technology
It achieves high efficiency and significant energy saving in wastewater treatment, optimizes aeration control, and reduces energy consumption.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an air blower optimization control system and method for waste water treatment, and relates to the technical field of waste water treatment.The method comprises the steps that predetermined waste water indexes are read, feature collection is conducted on target waste water, and target waste water feature information is obtained; taking the target wastewater characteristic information as input information of a dissolved oxygen demand prediction model to obtain a target demand dissolved oxygen concentration; reading a predetermined aeration index, and analyzing the predetermined aeration index to obtain a target aeration control space; introducing a predetermined control fitness function as an optimization evaluation strategy, and performing global optimization in the target aeration control space by taking the target demand dissolved oxygen concentration as an optimization constraint to obtain an optimal aeration control scheme; and performing energy-saving aeration treatment on the target blower of the target wastewater according to the optimal aeration control scheme. The technical problems of low treatment efficiency and serious energy consumption during biological treatment of wastewater in the prior art are solved, and the technical effects of efficient wastewater treatment and remarkable energy conservation are achieved.
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