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Journal of Intelligent Systems and Internet of Things
Volume 9 , Issue 2, PP: 206-221 , 2023 | Cite this article as | XML | Html |PDF

Title

Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining

  Shaid Sheel 1 * ,   Sarmad Jaafar Naser 2 ,   Hussein Alaa Diame 3 ,   Noor Baqir Hassan 4 ,   Naseer Ali Hussien 5 ,   Seifedine Kadry 6

1  Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq
    (Shaid Sheel@uoalfarahidi.edu.iq)

2  Department of Medical Devices Engineering Technologies, National University of Science and Technology, Dhi Qar, Nasiriyah, Iraq
    (sarmad.j.naser@nust.edu.iq)

3  Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq
    (Hussein.Alaa@Kunoozu . Edu . Iq)

4  Computer Technologies Engineering, Al-Turath University College, Baghdad, Iraq
    (nur.baqer@turath.edu.iq)

5  Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq
    (naseerali@alayen.edu.iq)

6  Department of Applied Data Science, Noroff University College, Kristiansand, Norway; Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, 346, United Arab Emirates ;Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon
    (skadry@gmail.com)

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Doi   :   https://doi.org/10.54216/JISIoT.090215

Received: March 07, 2023 Revised: June 08, 2023 Accepted: September 07, 2023

Abstract :

Wastewater treatment procedures (WWTP) rely heavily on accurate forecasting of treatment results to keep oxygenation levels under control. Conventional biochemical mechanism-driven approaches provide poor results, mainly due to complicated and redundant system factors. As sewage treatment operations expand fast, automated operational solutions are needed to achieve this goal. In the research, data mining was used to model the WWTP to predict the outcomes based on input circumstances and the amount of oxygenation provided to the system. Combined Sustainability Research for Wastewater Treatment procedures (CSR-WWTP) is proposed in this research. Data-driven approaches to modeling WWTP have already been developed but do not consider long-term treatment procedures and structure features. Forecasting and management for the WWTP are described in this article using a combination of convolutional neural networks (CNN) and recurrent neural networks (RNN). The first stage utilizes the CNN structure to dynamically learn and encrypt the local features of each WWTP timestamp in the first phase. The RNN model is applied to the WWTP to express global sequence characteristics using local feature encryption. For this purpose, it conducts a huge number of tests to assess the performance and accuracy of the proposed forecasting framework.

Keywords :

Wastewater Treatment; Sewage Management; Quality Monitoring; Sustainability

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Cite this Article as :
Style #
MLA Shaid Sheel, Sarmad Jaafar Naser, Hussein Alaa Diame, Noor Baqir Hassan, Naseer Ali Hussien, Seifedine Kadry. "Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining." Journal of Intelligent Systems and Internet of Things, Vol. 9, No. 2, 2023 ,PP. 206-221 (Doi   :  https://doi.org/10.54216/JISIoT.090215)
APA Shaid Sheel, Sarmad Jaafar Naser, Hussein Alaa Diame, Noor Baqir Hassan, Naseer Ali Hussien, Seifedine Kadry. (2023). Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining. Journal of Journal of Intelligent Systems and Internet of Things, 9 ( 2 ), 206-221 (Doi   :  https://doi.org/10.54216/JISIoT.090215)
Chicago Shaid Sheel, Sarmad Jaafar Naser, Hussein Alaa Diame, Noor Baqir Hassan, Naseer Ali Hussien, Seifedine Kadry. "Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining." Journal of Journal of Intelligent Systems and Internet of Things, 9 no. 2 (2023): 206-221 (Doi   :  https://doi.org/10.54216/JISIoT.090215)
Harvard Shaid Sheel, Sarmad Jaafar Naser, Hussein Alaa Diame, Noor Baqir Hassan, Naseer Ali Hussien, Seifedine Kadry. (2023). Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining. Journal of Journal of Intelligent Systems and Internet of Things, 9 ( 2 ), 206-221 (Doi   :  https://doi.org/10.54216/JISIoT.090215)
Vancouver Shaid Sheel, Sarmad Jaafar Naser, Hussein Alaa Diame, Noor Baqir Hassan, Naseer Ali Hussien, Seifedine Kadry. Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining. Journal of Journal of Intelligent Systems and Internet of Things, (2023); 9 ( 2 ): 206-221 (Doi   :  https://doi.org/10.54216/JISIoT.090215)
IEEE Shaid Sheel, Sarmad Jaafar Naser, Hussein Alaa Diame, Noor Baqir Hassan, Naseer Ali Hussien, Seifedine Kadry, Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 9 , No. 2 , (2023) : 206-221 (Doi   :  https://doi.org/10.54216/JISIoT.090215)
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