Method and system for accurately controlling dissolved oxygen concentration of sewage treatment aeration unit
By constructing an LSTM-Attention model and fusing it with measured data, the aeration air volume was dynamically adjusted, which solved the lag problem in dissolved oxygen concentration control in the sewage treatment system and achieved high-precision, low-energy sewage treatment results.
CN121850177APending Publication Date: 2026-04-14恩宜瑞(江苏)环境发展有限公司 +1
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Patent Information
- Application Number
- CN202512017248.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-30
- Publication Date
- 2026-04-14
AI Technical Summary
Technical Problem
The dissolved oxygen concentration control of the aeration unit in the existing sewage treatment system has a lag effect, which leads to control instability, serious energy waste, and difficulty in achieving high-precision and stable control.
Method used
A prediction model based on LSTM-Attention is constructed, and weighted fusion is performed with measured data to dynamically adjust the aeration air volume and achieve precise control of dissolved oxygen concentration.
Benefits of technology
It significantly improves the control precision and system stability of the aeration process in wastewater treatment, reduces energy consumption, and ensures that the wastewater treatment effect consistently meets the standards.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a method and system for accurately controlling the concentration of dissolved oxygen (DO) of a sewage treatment aeration unit, and the method comprises the steps: constructing a prediction model, and obtaining a model prediction value of the DO concentration at a current moment or a future moment according to the prediction model; calculating a current confidence coefficient; taking the current confidence coefficient as a weight coefficient, and carrying out weighted fusion calculation on a DO concentration measured value at the current moment and a DO concentration model prediction value to obtain a DO concentration fusion variable; the aeration air volume is adjusted or controlled with the purpose of minimizing the error between the DO concentration fusion variable and the DO concentration target value; the problem of overshoot oscillation caused by DO response lag in traditional control is solved, and a dynamic and accurate control solution is provided for the DO concentration of the aeration unit of the sewage plant.
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