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All Journal Journal of Industrial Engineering & Management Research (JIEMAR)
Hassan, Mohamed K.
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Humanities Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering

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Management of Industrial Wastewater Quality Using IoT Morsi, Moamen A.; Youssef, Yehia M.; Hassan, Mohamed K.
Journal of Industrial Engineering & Management Research Vol. 5 No. 4 (2024): August 2024
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7777/jiemar.v5i4.541

Abstract

Industrial wastewater treatment should be the focus of any industry using water to decrease the dependency on the scarce fresh water and to guarantee a safe disposal of the treated water. Wastewater treatment requires tailored processes based on the desired input wastewater quality measured by parameters such as pH, TDS, and turbidity and the desired application of the treated water. Wastewater properties vary by source, such as municipal, industrial, agricultural, and household, with the industrial wastewater being the most polluted. Water quality standards are set by organizations like the World Health Organization (WHO) and the Ministry of Environment in each country. This work proposes a system that involves a smart water quality management system using Internet of Things (IoT) devices such as sensors for real-time monitoring and actuators for controlling the water quality. This system treats the output wastewater from a detergent production line through sedimentation and filtration. Key water quality parameters: pH, TDS, and turbidity are monitored and controlled to meet the Egyptian Ministry of Environment's standards for disposal into Nobaria Canal. The treated water can be reused in applications like production lines, firefighting, or irrigating of ornamental plants. The system is programmed with Arduino software, and sensor data is displayed using Realterm software.
Connecting Aquaculture to the Internet of Things A Model for Aquaculture Quality and Water Preservation AlMetwally, Saif; Mourad, Mohamed H.; Hassan, Mohamed K.
Journal of Industrial Engineering & Management Research Vol. 5 No. 4 (2024): August 2024
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7777/jiemar.v5i4.543

Abstract

Water, food, and energy are vital resources for humanity. This work introduces a system design, results, economic model, and solutions for an aquaculture smart system enabling monitoring and control of fish farming tanks’ water quality. Reducing water usage, producing better quality food, reducing production costs, and optimizing the aquaculture water quality are the results of this research. System design and an economic model are presented together with the system data of the working prototype including calibration, verification, and validation. A mobile application was developed to observe and regulate the quality parameters of water. This research implements Internet of Things tools to monitor and control the parameters through embedded sensors for temperature, turbidity, pH, and water level/consumption. The system automatically intervenes online depending on the value of the measured parameters through a controller-predefined logic to set the parameters within acceptable limits. The verification and validation of results are presented by comparing the online and offline data measurements. The work also presents an economic analysis comparing financial indicators for traditional and smart farms including sensitivity analysis. The system implementation leads to a reduction in water consumption by 42%, and an 8% utilization of the actuators, leading to very low energy consumption and longer actuators’ useful life. The system also produces higher-quality fish satisfying the EU standards due to the controlled living environment.
Co-Authors AlMetwally, Saif Morsi, Moamen A. Mourad, Mohamed H. Youssef, Yehia M.