Sewage monitoring system based on artificial intelligence

In order to avoid the problems of unstable water quality and high treatment cost caused by manual control of operators in wastewater treatment process, it is proposed to design and develop an intelligent wastewater monitoring system. According to the characteristics of numerous sewage treatment devi...

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Main Authors:	Xuan, Lefei, Tu, Xiaojing, Niu, Mengning, Khan Chowdhury, Ahmed Jalal
Format:	Article
Language:	English English
Published:	Technoscience Publications 2019
Subjects:	TD511 Sewage collection and disposal systems. Sewerage TD895 Industrial sanitation. Industrial wastes
Online Access:	http://irep.iium.edu.my/78634/ http://irep.iium.edu.my/78634/ http://irep.iium.edu.my/78634/1/Sewage%20Monitoring%20System%20Based%20on%20Artificial%20Intelligence.pdf http://irep.iium.edu.my/78634/7/Scopus%20-%20Sewage%20Monitoring%20System%20Based%20on%20Artificial%20Intelligence.pdf

id	iium-78634
recordtype	eprints
spelling	iium-786342020-02-12T04:16:56Z http://irep.iium.edu.my/78634/ Sewage monitoring system based on artificial intelligence Xuan, Lefei Tu, Xiaojing Niu, Mengning Khan Chowdhury, Ahmed Jalal TD511 Sewage collection and disposal systems. Sewerage TD895 Industrial sanitation. Industrial wastes In order to avoid the problems of unstable water quality and high treatment cost caused by manual control of operators in wastewater treatment process, it is proposed to design and develop an intelligent wastewater monitoring system. According to the characteristics of numerous sewage treatment devices and unstable control indexes, the soft sensing technology of dissolved oxygen (DO) concentration is combined with computer automatic control technology to design intelligent monitoring scheme of sewage treatment process. The overall structure and function of the system are given, the control software, DO concentration soft measurement module and operation guidance are introduced, which lays a foundation for the concrete implementation of the system. The results show that the intelligent monitoring scheme and the aeration control method based on DO concentration soft measurement are applied to the sewage treatment field, and the hardware integration design and software configuration development are completed. The man-machine interface designed is intuitive and friendly, and the operation is convenient. After field installation and debugging, it is successfully operated in a sewage treatment plant, making the removal rate of effluent impurities reach the expected goal and achieve obvious economic benefits. Therefore, it is of great scientific significance and application value to strengthen the research and application of intelligent control of sewage treatment system in China. Technoscience Publications 2019-12-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/78634/1/Sewage%20Monitoring%20System%20Based%20on%20Artificial%20Intelligence.pdf application/pdf en http://irep.iium.edu.my/78634/7/Scopus%20-%20Sewage%20Monitoring%20System%20Based%20on%20Artificial%20Intelligence.pdf Xuan, Lefei and Tu, Xiaojing and Niu, Mengning and Khan Chowdhury, Ahmed Jalal (2019) Sewage monitoring system based on artificial intelligence. Nature Environment and Pollution Technology, 18 (5 (Special Issue)). pp. 1601-1607. ISSN 0972-6268 E-ISSN 2395-3454 http://www.neptjournal.com/upload-images/NL-73-21-19-Final.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TD511 Sewage collection and disposal systems. Sewerage TD895 Industrial sanitation. Industrial wastes
spellingShingle	TD511 Sewage collection and disposal systems. Sewerage TD895 Industrial sanitation. Industrial wastes Xuan, Lefei Tu, Xiaojing Niu, Mengning Khan Chowdhury, Ahmed Jalal Sewage monitoring system based on artificial intelligence
description	In order to avoid the problems of unstable water quality and high treatment cost caused by manual control of operators in wastewater treatment process, it is proposed to design and develop an intelligent wastewater monitoring system. According to the characteristics of numerous sewage treatment devices and unstable control indexes, the soft sensing technology of dissolved oxygen (DO) concentration is combined with computer automatic control technology to design intelligent monitoring scheme of sewage treatment process. The overall structure and function of the system are given, the control software, DO concentration soft measurement module and operation guidance are introduced, which lays a foundation for the concrete implementation of the system. The results show that the intelligent monitoring scheme and the aeration control method based on DO concentration soft measurement are applied to the sewage treatment field, and the hardware integration design and software configuration development are completed. The man-machine interface designed is intuitive and friendly, and the operation is convenient. After field installation and debugging, it is successfully operated in a sewage treatment plant, making the removal rate of effluent impurities reach the expected goal and achieve obvious economic benefits. Therefore, it is of great scientific significance and application value to strengthen the research and application of intelligent control of sewage treatment system in China.
format	Article
author	Xuan, Lefei Tu, Xiaojing Niu, Mengning Khan Chowdhury, Ahmed Jalal
author_facet	Xuan, Lefei Tu, Xiaojing Niu, Mengning Khan Chowdhury, Ahmed Jalal
author_sort	Xuan, Lefei
title	Sewage monitoring system based on artificial intelligence
title_short	Sewage monitoring system based on artificial intelligence
title_full	Sewage monitoring system based on artificial intelligence
title_fullStr	Sewage monitoring system based on artificial intelligence
title_full_unstemmed	Sewage monitoring system based on artificial intelligence
title_sort	sewage monitoring system based on artificial intelligence
publisher	Technoscience Publications
publishDate	2019
url	http://irep.iium.edu.my/78634/ http://irep.iium.edu.my/78634/ http://irep.iium.edu.my/78634/1/Sewage%20Monitoring%20System%20Based%20on%20Artificial%20Intelligence.pdf http://irep.iium.edu.my/78634/7/Scopus%20-%20Sewage%20Monitoring%20System%20Based%20on%20Artificial%20Intelligence.pdf
first_indexed	2023-09-18T21:50:45Z
last_indexed	2023-09-18T21:50:45Z
_version_	1777413752732254208

Sewage monitoring system based on artificial intelligence

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