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:
Online Access:http://irep.iium.edu.my/78634/1/Sewage%20Monitoring%20System%20Based%20on%20Artificial%20Intelligence.pdf
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spelling my.iium.irep.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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/78634/1/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
http://irep.iium.edu.my/78634/
http://www.neptjournal.com/upload-images/NL-73-21-19-Final.pdf
_version_ 1662753832541618176
score 13.211869