FUGUANG
Solution
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Environmental monitoring
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Station type water quality automatic monitoring system
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Container-type water quality automatic monitoring system
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Landscape type water quality automatic monitoring system
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Buoy type automatic water quality monitoring system
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Urban inland river water environment monitoring system
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Aquaculture water quality automatic monitoring system
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Comprehensive solutions for rural drinking water
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Groundwater quality monitoring system
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River Guard
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Inland River Management and Control Platform
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Mini water quality automatic monitoring station
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Water quality warning and prediction system
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Quality control instrument
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Smart Water
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Smart Water Supply Solutions
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Overview and architecture of smart water supply solutions
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Water supply pipeline network geographic information system
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Water supply pipeline network field collection system
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Water supply plant control system
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Water fee revenue management system
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Water supply dispatch system
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Secondary water supply management system
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Zoned metering and leakage control
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Operation and maintenance management system
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Water source monitoring and early warning system
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Smart Wastewater Solutions
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Solution Overview and Architecture
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Pipeline network geographic information systems
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Drainage monitoring and diagnostic analysis
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Pipeline network inspection and maintenance system
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Pipeline network field collection system
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Engineering management system
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Flood control dispatch system
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Drainage household management system
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Digitization of pump station management
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Digitalization of wastewater treatment plants
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Smart Chemical Dosage and Phosphorus RemovalControl System
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Smart Aeration Control System
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The intelligent aeration control system developed by our company is a core energy-saving and consumption-reducing device specially designed for municipal sewage treatment plants. The system integrates independently developed AI algorithm model software and combines detection and control hardware to build a signal closed loop. It enables joint control of control systems, instrument feedback systems, regulation systems, blower systems, and aeration systems, ultimately helping wastewater plants reduce blower power consumption, lower labor intensity, and enhance refined management and intelligent operations.
Disadvantages of aeration control:
1. High proportion of energy consumption
Traditional aeration lacks precise regulation, and the energy consumption of biological wastewater treatment (mainly aeration and oxygen supply) accounts for 50%-70% of the total energy consumption of water plants, far exceeding wastewater lifting and sludge treatment, becoming the main obstacle to cost reduction and efficiency improvement.
2. Poor process synergy
Traditional aeration easily leads to over-aeration, where excess dissolved oxygen is carried by internal reflux (nitrification liquid) to the anoxic zone, disrupting the anaerobic environment required for reverse declarification, thereby reducing denitrification efficiency and causing excessive consumption of carbon sources.
3. Low management efficiency
Traditional control relies on manual experience and is difficult to achieve dynamic adjustments. This not only increases the labor intensity of on-site personnel but also restricts the advancement of refined and intelligent management in water plants, making it impossible to meet modern operational needs.
As a targeted solution, this system uses AI algorithms for precise regulation and multi-system linkage, fundamentally addressing the pain points of traditional aeration control. It provides wastewater treatment plants with an integrated aeration control solution combining "energy saving + efficiency + intelligence," helping enterprises reduce operating costs while improving management efficiency and core competitiveness.
System Principles
This control system centers on a multi-control mode of "feedforward prediction + feedforward correction + AI model," comprehensively considering multiple factors such as influent water volume, total influent nitrogen, SS, pH, effluent ammonia nitrogen, effluent total nitrogen, as well as DO and temperature, to construct an accurate mechanistic model. At the same time, the model deeply integrates diverse AI algorithms such as random forests and linear regression, continuously optimizing through data analysis to achieve intelligent prediction of wind turbine airflow. Relying on the precise aeration control cabinet, the output meets standards and is maintained while maintaining economic efficiency.
Feedforward control: real-time linkage for early regulation
The system uses a built-in software control system in the precise aeration control cabinet to receive real-time flow data transmitted by the front-end inlet flow meter, real-time concentration and SS data from the ammonia nitrogen detector. After precise calculation by system logic algorithms, the fan inverter operating parameters are automatically adjusted, dynamically adjusting the fan output volume, achieving multi-parameter linkage feedforward control to ensure accurate matching between air supply and influent pollutant loads from the source, avoiding air waste or insufficient air supply.
Feed-in control: precise correction and stable compliance
The plant's effluent ammonia nitrogen meter transmits the effluent ammonia nitrogen indicator data in real time to the intelligent aeration control software system. Combined with changes in DO in the biochemical tank, the system logically analyzes and judges that if outlet ammonia nitrogen and other indicators deviate from target control values, the system automatically calculates the airflow correction value and dynamically adjusts the supply air volume by adjusting the fan frequency converter.
The flow meter installed on the air supply pipeline provides real-time feedback on the actual air supply flow, assisting the software system in verifying control accuracy, forming a closed-loop control system of "monitoring-calculation-regulation-verification," ultimately achieving optimal air supply in the aeration tank and ensuring that effluent COD, ammonia nitrogen, and total nitrogen indicators continue to meet standards stably and consistently.
Technical Features
● Short-range aeration control process model
Innovatively establishing a short-range aeration control process model, it simplifies the traditional full-process, complex, and delayed automatic aeration modeling into a short-process section model, improving the efficiency and accuracy of aeration control.
● Innovate traditional control logic
Abandoning the traditional model of relying on a single DO data set to regulate airflow, the aeration accuracy is optimized from the control logic perspective, avoiding aeration deviations caused by the limitations of a single data set.
● Anchor core ammonia nitrogen indicators
Precisely pinpoint ammonia nitrogen at the outlet of the biochemical tank as a key control indicator, ensuring that aeration supply meets actual water treatment needs and ensuring targeted aeration effectiveness.
A complete signal closed-loop system of "feedforward prediction + feedforward correction + AI model" has been built, allowing real-time dynamic adjustment of airflow based on changes in flow and water quality, ensuring the real-time and accurate aeration regulation.
By combining historical operational data and applying various machine learning algorithms such as random forests and linear regression, an intelligent aeration control model with self-optimization capabilities is constructed. Through continuous learning and evolution, the model continuously improves the accuracy of air volume supply, thereby achieving energy savings and stable process operation.
● Complete signal feedback mechanism
● Model self-evolution
Core Features
1. Accurate aeration calculation
● Relying on the signal acquisition module, core data such as influent water volume, total influent nitrogen, SS, pH, effluent ammonia nitrogen, total effluent nitrogen, DO, and temperature are collected in real time, using the intelligent control principle of "feedforward prediction + feedback correction + AI model."
● By combining multiple parameters and accurately calculating them through system logic algorithms, the fan frequency converter with communication signals automatically adjusts operating parameters and dynamically adjusts the blower's air output.
● Integrates multiple water quality and environmental parameters to build a mechanism model, deeply embedding AI algorithms such as random forest and linear regression. Through data analysis for self-optimization, multi-step prediction, and feedback correction, precise correspondence between aeration and variables is clarified, ensuring stable fluent response to load fluctuations.
2. Intelligent control throughout the entire process
● Fully automated aeration process through a supporting software platform, with the aeration adjustment process autonomously executed by the system, reducing manual intervention.
● Real-time monitoring of equipment operating status, water quality indicators, aeration parameters, and other comprehensive data to support dynamic control and intelligent adjustment of the process process.
3. Abnormal early warning and safety assurance
● Based on dual logic of "data threshold judgment + trend analysis," it monitors key data such as ammonia nitrogen and total nitrogen in the effluent in real time, identifying process risks in advance and triggering warnings.
● Equipped with power protection functions such as voltage stabilization, frequency stabilization, and filtering, supporting automatic switching between two power supplies to ensure stable system power supply and prevent sudden faults from affecting operation.
4. Data management and visualization analysis
● Integrates full-process data from the signal acquisition module to form traceable and analyzable digital archives, fully preserving process operation records.
● Supports real-time display and historical retrieval of data curves such as influent water volume, influent ammonia nitrogen concentration, effluent COD, total effluent nitrogen, and air supply flow rate, providing intuitive data support for process optimization and management decision-making.
5. Environmental adaptation and flexible operation
● Equipped with waterproof, dustproof, lightning-proof, and precise temperature control functions, adapting to the complex indoor and outdoor environments of wastewater treatment plants, ensuring stable equipment operation.
● Supports manual, remote manual, and remote automatic operation modes, with a built-in wireless transmission module for efficient data sharing and remote control.
● Modular design allows installation without complicated wiring; quick activation upon power connection, reducing deployment and time costs.
Customer Value
● Achieve stable operation
Achieve refined aeration control, dynamically respond to influent load fluctuations, ensure stable compliance with effluent COD and total nitrogen, and firmly establish a bottom line for water quality safety.
● Achieve energy savings
Precisely controls the air supply volume of the blower, significantly reducing the energy cost of the fan; At the same time, it reduces manual intervention, saves labor costs, and achieves dual economic optimization.
● Achieve intelligent management and control
The system features abnormal early warning and emergency operation functions, enhancing shock load resistance, reducing manual operation difficulty, and ensuring stable and efficient system operation.
Mailing Address: Building B, No. 168 Jinyan Road, Jianxin Town, Cangshan District, Fuzhou
Postal Code: 350007
Customer Service Hotline: 400-668-8627
Main Line/Fax: 0591-83305533/83305866
Email: fgwater@fuguang.com
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