Predictive Air Pressure Control for Wastewater Oxygenation
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Solution Overview
Problem
Current air regulation systems in wastewater treatment plants are inefficient, leading to high energy consumption and premature wear of valves due to constant pressure adjustments and modulation of airflow through valve opening/closing, which fails to effectively respond to varying oxygen demands.
Innovation Solution
A method that uses time series analysis to predict and adjust air production machine pressure based on the temporal occurrence and increase rate of air demand in biological basins, optimizing energy consumption by maintaining valves mostly open and varying pressure to match oxygenation needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If constant high pressure is maintained in the air production machine to meet maximum air demand, then the air flow requirement is satisfied during peak periods, but energy consumption increases and valve wear accelerates during low-demand periods
Solution Approach 1:
The patent implements dynamic pressure adjustment by varying the pressure setpoint of the air production machine according to predicted air demand. Instead of maintaining constant high pressure, the system adapts pressure levels to match actual demand patterns, thereby reducing energy consumption during low-demand periods while ensuring sufficient pressure during peak periods. This is achieved through a pressure prediction module that forecasts future air demand and adjusts the pressure setpoint accordingly.
Solution Approach 2:
The system performs preliminary analysis of historical air demand data to predict future air demand patterns. By analyzing past consumption patterns, the system anticipates future demand peaks and valleys, allowing proactive adjustment of pressure setpoints before demand changes occur. This predictive capability enables the system to prepare optimal pressure levels in advance, avoiding both energy waste and supply deficiencies.
2Reliability
If PID regulators are used to control valve opening/closing for airflow regulation, then the dissolved oxygen concentration is maintained, but valve wear increases due to frequent modulation
Solution Approach 1:
The patent extracts the pressure control function from the valve control system. Instead of using valves to modulate airflow in response to demand changes, the system separates pressure control (handled by the air production machine based on prediction) from flow distribution. This removes the need for frequent valve modulation, thereby reducing valve wear while maintaining dissolved oxygen control through the remaining valve functions.
Solution Approach 2:
The system replaces mechanical valve modulation with a predictive pressure control mechanism. Instead of mechanically adjusting valve positions frequently to match demand, the system uses a prediction model to adjust pressure centrally at the air production machine. This substitution reduces mechanical wear on valves while achieving the same airflow regulation effect through pressure management.
3Adaptability or versatility
If pressure is adjusted frequently to match varying air demand, then the oxygenation requirement is met dynamically, but system complexity and control difficulty increase
Solution Approach 1:
The system implements self-service through automated prediction and control. The prediction module automatically analyzes historical data, forecasts future demand, and generates pressure setpoints without requiring manual intervention. The control system then automatically adjusts pressure based on these predictions. This self-service capability enables dynamic adaptation to varying oxygen demand while keeping control complexity manageable through automation rather than manual tuning.
Solution Approach 2:
The system incorporates feedback mechanisms where actual air demand measurements and dissolved oxygen levels are continuously monitored and fed back to the prediction and control modules. This feedback loop allows the system to learn from actual performance, refine its predictions, and adjust pressure setpoints accordingly. The feedback mechanism enables adaptive control that responds to varying demand while maintaining system simplicity through automated closed-loop control.
Data Source
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AI summary
The invention relates to a system for supplying air to at least one biological water treatment basin, said system comprising: - at least one air production machine (M1, M2,MX); - at least one air distribution system of the biological basin, said system comprising: - an air distribution means (C, S1, S2, Sn) connecting the air production machine to the biological basin; - a first control means (Reg. P) for controlling the pressure of the air distribution system, said first control means receiving a pressure value from the air distribution means (M) and a time-variable setpoint (A) determined from a prediction of the air demand of the biological basin and delivering, in response, a pressure value (B) sent to the air distribution means.