单页模型

Smart Aeration Control Software

Suitable for: Smart control of biological systems in wastewater plants (carbon source and aeration)

Telephone:+86-13372145285 E-mail:jonzo@jonzo.cn

How It Works

"Feedforward Compensation – Cascade Feedback – Blower Coordination" Three-level Control:

Feedforward Active Adjustment

Calculates theoretical air demand based on inlet flow rate, COD, and ammonia nitrogen load, and pre-adjusts blower frequency.

Feedback Closed-loop Correction

Uses aerobic tank DO analyzer and effluent ammonia nitrogen as feedback values, compares with target values, and performs precise correction.

Blower Coordination

Based on total air demand, automatically calculates and schedules the operating combination of multiple blowers (start/stop / variable-frequency) to ensure air supply matches demand.

System Architecture

Smart Aeration Main Controller Smart Aeration Main Controller

Built-in aeration control software package.

Sensing Instruments Sensing Instruments

Inlet flow meter, return flow meter, online COD/ammonia nitrogen analyzers, aerobic tank DO analyzer, effluent ammonia nitrogen analyzer.

Execution Mechanisms Execution Mechanisms

Blowers (with VFDs), air control valves.

Aeration Equipment Status Monitoring Aeration Equipment Status Monitoring

Air supply pipeline flow meter, pressure transmitter.

Installation Requirements

Software Environment Software Environment

High-performance central controller required to meet high computing power demand.

Algorithm Development Algorithm Development

Follows the "one plant, one strategy" principle; model calibration and validation are required for each specific wastewater plant (including no-load and load trial runs).

Site Coordination Site Coordination

Ensure accurate and stable data from key instruments (DO, ammonia nitrogen, COD, inlet flow meter, return flow meter).

Competitive Advantages

Comparison

Jiuzheng Smart Aeration Control Software

Conventional Single-feedback Control

Control Variables

Multi-parameter fusion (load + DO + ammonia nitrogen), more comprehensive

Relies on a single data source only

Control Mode

Feedforward prediction + feedback correction + AI model (proactive)

Passive response, lagged adjustment

Energy Savings

Significant; reduces energy consumption by 15%–25%

Difficult to achieve optimal savings; often leads to over-aeration

System Coordination

Can coordinate with carbon source dosing system

Operates independently, lacks coordination


Related Solutions

Suitable for: Smart control of biological systems in wastewater plants (carbon source and aeration)

+86-13372145285
jonzo@jonzo.cn
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