Karem, Karem, Issa, Ahmad, SOLIMAN, Abdel-Hamid and ALY, Hesham (2017) Inline Water Quality Monitoring System (IWQMS). In: World Congress on Condition Monitoring (WCCM 2017), 13-16 June, London.
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Abstract or description
Inline Water Quality Monitoring System (IWQMS) is a system that performs scheduled testing for the water quality in the infrastructure pipes without human interventions. This system was designed to monitor the water quality based on the working area requirements and the user's aims. It is supposed to observe water in power plants working by steam, biomedical systems, pharmaceuticals production lines, food factories, desalination plant, water wall, and laboratories. However, water quality depends on the physical and chemical parameters of the water. Two of these parameters are concentration of salts in the water or total dissolved solid (TDS) and electrical conductivity (EC). IWQMS uses these two parameters to determine the water quality by measuring the electrical waves in the tested water sample. It consists of three designed subsystems operating together; these subsystems are mechanical, electronic and software. The mechanical subsystem is designed to automatically collect water samples without human intervention from the pipes. The electronic subsystem is used for controlling and sensing. Sensing is performed using a sensor especially designed to be used for IWQMS. This sensor measures two important parameters TDS and EC. The software subsystem is used to process the collected data, arrange the operations, and store the obtained data for the operator or send it through wireless sensor network. Many iterations and tests were performed on the system and it produced satisfactory results with very small error variation compared with laboratories testing devices.
Item Type: | Conference or Workshop Item (Paper) |
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Faculty: | School of Creative Arts and Engineering > Engineering |
Event Title: | World Congress on Condition Monitoring (WCCM 2017) |
Event Location: | London |
Event Dates: | 13-16 June |
Depositing User: | Abdel-Hamid SOLIMAN |
Date Deposited: | 04 Mar 2019 14:39 |
Last Modified: | 24 Feb 2023 13:54 |
URI: | https://eprints.staffs.ac.uk/id/eprint/5414 |