Data-driven intelligent monitoring system for key variables in wastewater treatment process

doi:10.1016/j.cjche.2018.03.027

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (10): 2093-2101.DOI: 10.1016/j.cjche.2018.03.027

• Process Systems Engineering and Process Safety • 上一篇下一篇

Data-driven intelligent monitoring system for key variables in wastewater treatment process

Honggui Han^1,2, Shuguang Zhu^1,2,3,4, Junfei Qiao^1,2, Min Guo^1,3,4

1 College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China;
2 Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing 100124, China;
3 Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, China;
4 Beijing Laboratory for Urban Mass Transit, Beijing 100124, China

收稿日期:2017-12-12 修回日期:2018-02-28 出版日期:2018-10-28 发布日期:2018-11-14
通讯作者: Honggui Han,E-mail address:Rechardhan@bjut.edu.cn
基金资助:
Supported by the National Natural Science Foundation of China (61622301, 61533002), Beijing Natural Science Foundation (4172005), and Major National Science and Technology Project (2017ZX07104).

Data-driven intelligent monitoring system for key variables in wastewater treatment process

Honggui Han^1,2, Shuguang Zhu^1,2,3,4, Junfei Qiao^1,2, Min Guo^1,3,4

1 College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China;
2 Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing 100124, China;
3 Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, China;
4 Beijing Laboratory for Urban Mass Transit, Beijing 100124, China

Received:2017-12-12 Revised:2018-02-28 Online:2018-10-28 Published:2018-11-14
Contact: Honggui Han,E-mail address:Rechardhan@bjut.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China (61622301, 61533002), Beijing Natural Science Foundation (4172005), and Major National Science and Technology Project (2017ZX07104).

摘要/Abstract

摘要： In wastewater treatment process (WWTP), the accurate and real-time monitoring values of key variables are crucial for the operational strategies. However, most of the existing methods have difficulty in obtaining the real-time values of some key variables in the process. In order to handle this issue, a data-driven intelligent monitoring system, using the soft sensor technique and data distribution service, is developed to monitor the concentrations of effluent total phosphorous (TP) and ammonia nitrogen (NH₄-N). In this intelligent monitoring system, a fuzzy neural network (FNN) is applied for designing the soft sensor model, and a principal component analysis (PCA) method is used to select the input variables of the soft sensor model. Moreover, data transfer software is exploited to insert the soft sensor technique to the supervisory control and data acquisition (SCADA) system. Finally, this proposed intelligent monitoring system is tested in several real plants to demonstrate the reliability and effectiveness of the monitoring performance.

关键词: Data-driven, Soft sensor, Intelligent monitoring system, Data distribution service, Wastewater treatment process

Abstract: In wastewater treatment process (WWTP), the accurate and real-time monitoring values of key variables are crucial for the operational strategies. However, most of the existing methods have difficulty in obtaining the real-time values of some key variables in the process. In order to handle this issue, a data-driven intelligent monitoring system, using the soft sensor technique and data distribution service, is developed to monitor the concentrations of effluent total phosphorous (TP) and ammonia nitrogen (NH₄-N). In this intelligent monitoring system, a fuzzy neural network (FNN) is applied for designing the soft sensor model, and a principal component analysis (PCA) method is used to select the input variables of the soft sensor model. Moreover, data transfer software is exploited to insert the soft sensor technique to the supervisory control and data acquisition (SCADA) system. Finally, this proposed intelligent monitoring system is tested in several real plants to demonstrate the reliability and effectiveness of the monitoring performance.

Key words: Data-driven, Soft sensor, Intelligent monitoring system, Data distribution service, Wastewater treatment process

Honggui Han, Shuguang Zhu, Junfei Qiao, Min Guo. Data-driven intelligent monitoring system for key variables in wastewater treatment process[J]. Chinese Journal of Chemical Engineering, 2018, 26(10): 2093-2101.

Honggui Han, Shuguang Zhu, Junfei Qiao, Min Guo. Data-driven intelligent monitoring system for key variables in wastewater treatment process[J]. Chin.J.Chem.Eng., 2018, 26(10): 2093-2101.

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Data-driven intelligent monitoring system for key variables in wastewater treatment process

Data-driven intelligent monitoring system for key variables in wastewater treatment process

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