Web based water turbidity monitoring and automated filtration system: IoT application in water management
Water supplied to residential areas is prone to contaminants due to pipe residues and silt, and therefore resulted in cloudiness, unfavorable taste, and odor in water. Turbidity, a measure of water cloudiness, is one of the important factors for assessing water quality. This paper proposes a low-cos...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
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Institute of Advanced Engineering and Science
2018
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| Online Access: | http://irep.iium.edu.my/67935/ http://irep.iium.edu.my/67935/1/67935_Web%20based%20Water%20Turbidity%20Monitoring%20and%20Automated.pdf http://irep.iium.edu.my/67935/7/67935_Web%20based%20water%20turbidity%20monitoring_scopus.pdf |
| _version_ | 1848786853387304960 |
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| author | Ibrahim, Siti Noorjannah Asnawi, Ani Liza Abdul Malik, Noreha Mohamed Azmin, Nor Fadhillah Jusoh, Ahmad Zamani Mohd. Isa, Farah Nadia |
| author_facet | Ibrahim, Siti Noorjannah Asnawi, Ani Liza Abdul Malik, Noreha Mohamed Azmin, Nor Fadhillah Jusoh, Ahmad Zamani Mohd. Isa, Farah Nadia |
| author_sort | Ibrahim, Siti Noorjannah |
| building | IIUM Repository |
| collection | Online Access |
| description | Water supplied to residential areas is prone to contaminants due to pipe residues and silt, and therefore resulted in cloudiness, unfavorable taste, and odor in water. Turbidity, a measure of water cloudiness, is one of the important factors for assessing water quality. This paper proposes a low-cost turbidity system based on a light detection unit to measure the cloudiness in water. The automated system uses Intel Galileo 2 as the microprocessor and a server for a web-based monitoring system. The turbidity detection unit consists of a Light Dependent Resistor (LDR) and a Light Emitting Diode (LED) inside a polyvinyl chloride (PVC) pipe. Turbidity readings were recorded for two different positionings; 90° and 180° between the detector (LDR) and the incident light (LED). Once the turbidity level reached a threshold level, the system will trigger the filtration process to clean the water. The voltage output captured from the designed system versus total suspended solid (TSS) in sample water is graphed and analyzed in two different conditions; in total darkness and in the present of ambient light. This paper also discusses and compares the results from the above-mentioned conditions when the system is submerged in still and flowing water. It was found that the trends of the plotted graph decline when the total suspended solid increased for both 90° and 180° detector turbidimeter in all conditions which imitate the trends of a commercial turbidimeter. By taking the consideration of the above findings, the design can be recommended for a low-cost real-time web-based monitoring system of the water quality in an IOT environment. |
| first_indexed | 2025-11-14T17:15:38Z |
| format | Article |
| id | iium-67935 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:15:38Z |
| publishDate | 2018 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-679352022-07-22T02:02:04Z http://irep.iium.edu.my/67935/ Web based water turbidity monitoring and automated filtration system: IoT application in water management Ibrahim, Siti Noorjannah Asnawi, Ani Liza Abdul Malik, Noreha Mohamed Azmin, Nor Fadhillah Jusoh, Ahmad Zamani Mohd. Isa, Farah Nadia TK7885 Computer engineering Water supplied to residential areas is prone to contaminants due to pipe residues and silt, and therefore resulted in cloudiness, unfavorable taste, and odor in water. Turbidity, a measure of water cloudiness, is one of the important factors for assessing water quality. This paper proposes a low-cost turbidity system based on a light detection unit to measure the cloudiness in water. The automated system uses Intel Galileo 2 as the microprocessor and a server for a web-based monitoring system. The turbidity detection unit consists of a Light Dependent Resistor (LDR) and a Light Emitting Diode (LED) inside a polyvinyl chloride (PVC) pipe. Turbidity readings were recorded for two different positionings; 90° and 180° between the detector (LDR) and the incident light (LED). Once the turbidity level reached a threshold level, the system will trigger the filtration process to clean the water. The voltage output captured from the designed system versus total suspended solid (TSS) in sample water is graphed and analyzed in two different conditions; in total darkness and in the present of ambient light. This paper also discusses and compares the results from the above-mentioned conditions when the system is submerged in still and flowing water. It was found that the trends of the plotted graph decline when the total suspended solid increased for both 90° and 180° detector turbidimeter in all conditions which imitate the trends of a commercial turbidimeter. By taking the consideration of the above findings, the design can be recommended for a low-cost real-time web-based monitoring system of the water quality in an IOT environment. Institute of Advanced Engineering and Science 2018-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/67935/1/67935_Web%20based%20Water%20Turbidity%20Monitoring%20and%20Automated.pdf application/pdf en http://irep.iium.edu.my/67935/7/67935_Web%20based%20water%20turbidity%20monitoring_scopus.pdf Ibrahim, Siti Noorjannah and Asnawi, Ani Liza and Abdul Malik, Noreha and Mohamed Azmin, Nor Fadhillah and Jusoh, Ahmad Zamani and Mohd. Isa, Farah Nadia (2018) Web based water turbidity monitoring and automated filtration system: IoT application in water management. International Journal of Electrical and Computer Engineering (IJECE), 8 (4). pp. 2503-2511. ISSN 2088-8708 https://www.iaescore.com/journals/index.php/IJECE/article/view/11848 10.11591/ijece.v8i4.pp2503-2511 |
| spellingShingle | TK7885 Computer engineering Ibrahim, Siti Noorjannah Asnawi, Ani Liza Abdul Malik, Noreha Mohamed Azmin, Nor Fadhillah Jusoh, Ahmad Zamani Mohd. Isa, Farah Nadia Web based water turbidity monitoring and automated filtration system: IoT application in water management |
| title | Web based water turbidity monitoring and automated filtration system: IoT application in water management |
| title_full | Web based water turbidity monitoring and automated filtration system: IoT application in water management |
| title_fullStr | Web based water turbidity monitoring and automated filtration system: IoT application in water management |
| title_full_unstemmed | Web based water turbidity monitoring and automated filtration system: IoT application in water management |
| title_short | Web based water turbidity monitoring and automated filtration system: IoT application in water management |
| title_sort | web based water turbidity monitoring and automated filtration system: iot application in water management |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/67935/ http://irep.iium.edu.my/67935/ http://irep.iium.edu.my/67935/ http://irep.iium.edu.my/67935/1/67935_Web%20based%20Water%20Turbidity%20Monitoring%20and%20Automated.pdf http://irep.iium.edu.my/67935/7/67935_Web%20based%20water%20turbidity%20monitoring_scopus.pdf |