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Prediction of sludge bulking using the knowledge-leverage-based fuzzy neural network
Honggui Han1, Zheng Liu1, Luming Ge1
1Beijing Key Laboratory of Computational Intelligence and Intelligence System, College of Automation, Faculty of Information Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China
Summary
A new intelligent method predicts sludge bulking in wastewater treatment plants (WWTPs). This knowledge-leverage-based fuzzy neural network (KL-FNN) improves prediction accuracy for better operational performance.
Area of Science:
- Environmental Engineering
- Wastewater Treatment Technologies
- Artificial Intelligence in Environmental Science
Background:
- Secondary clarification in activated sludge wastewater treatment plants (WWTPs) is critical but often hindered by sludge bulking.
- Sludge bulking presents a significant operational challenge, impacting overall treatment efficiency.
- Existing methods for sludge bulking prediction lack sufficient accuracy and adaptability.
Purpose of the Study:
- To develop an intelligent online prediction method for sludge bulking in WWTPs.
- To leverage both operational data and existing knowledge for enhanced prediction.
- To improve the accuracy and adaptability of sludge bulking prediction using advanced AI.
Main Methods:
- Development of a knowledge-leverage-based fuzzy neural network (KL-FNN).
- Integration of a transfer learning mechanism to optimize KL-FNN parameters.
- Online application and validation of the KL-FNN method in a real-world WWTP.
Main Results:
- The KL-FNN method effectively utilizes available data and operational knowledge.
- Transfer learning significantly enhances the predictive accuracy of the model.
- The proposed method demonstrated superior performance and adaptability compared to existing techniques in predicting sludge bulking.
Conclusions:
- The developed KL-FNN offers a robust and accurate tool for online sludge bulking prediction.
- This intelligent method can enhance the efficiency and reliability of wastewater treatment processes.
- The approach provides a valuable advancement for managing sludge bulking in WWTPs.
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