Smart water network monitoring: A case study at Universiti Teknologi Malaysia
Water uses need to be measured, which is critical for evaluating water stress. The Industry 4.0 via the Internet of Things (IoT) and usage of water measurement sensor can provide real-time information on the water flow rate and water pressure, that is crucial for water monitoring and analysis. There...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/98458/1/WanAnom2022_SmartWaterNetworkMonitoringACaseStudy.pdf |
| _version_ | 1796866624419004416 |
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| author | Abdul Aziz, Nur Aida Azlin Musa, Tajul Ariffin Musliman, Ivin Amri Omar, Abdullah Hisam Wan Aris, Wan Anom |
| author_facet | Abdul Aziz, Nur Aida Azlin Musa, Tajul Ariffin Musliman, Ivin Amri Omar, Abdullah Hisam Wan Aris, Wan Anom |
| author_sort | Abdul Aziz, Nur Aida Azlin |
| collection | ePrints |
| description | Water uses need to be measured, which is critical for evaluating water stress. The Industry 4.0 via the Internet of Things (IoT) and usage of water measurement sensor can provide real-time information on the water flow rate and water pressure, that is crucial for water monitoring and analysis. There is a need for online smart water monitoring that gives out more efficient and sustainable water uses at Universiti Teknologi Malaysia (UTM) campus. A prototype of an online smart water monitoring for UTM, which was developed based on the integration of IoT and Geographical Information System (GIS), consist of four layers, (1) physical layer, (2) network layer, (3) processing layer and, (4) application layer. The findings show that when the water flow increases, the water pressure decreases. When there is no water flow, the lowest value is 52.214 Psi, and the highest value is 60.916 Psi. The latest technology integrating the IoT-GIS for smart water monitoring has shown a very efficient way of providing real-time water parameters information, cost and time effective, and allowing for continuous water consumption analysis via the cloud computing service. |
| first_indexed | 2024-03-05T21:14:57Z |
| format | Conference or Workshop Item |
| id | utm.eprints-98458 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:14:57Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | utm.eprints-984582023-01-08T02:49:02Z http://eprints.utm.my/98458/ Smart water network monitoring: A case study at Universiti Teknologi Malaysia Abdul Aziz, Nur Aida Azlin Musa, Tajul Ariffin Musliman, Ivin Amri Omar, Abdullah Hisam Wan Aris, Wan Anom G70.212-70.215 Geographic information system Water uses need to be measured, which is critical for evaluating water stress. The Industry 4.0 via the Internet of Things (IoT) and usage of water measurement sensor can provide real-time information on the water flow rate and water pressure, that is crucial for water monitoring and analysis. There is a need for online smart water monitoring that gives out more efficient and sustainable water uses at Universiti Teknologi Malaysia (UTM) campus. A prototype of an online smart water monitoring for UTM, which was developed based on the integration of IoT and Geographical Information System (GIS), consist of four layers, (1) physical layer, (2) network layer, (3) processing layer and, (4) application layer. The findings show that when the water flow increases, the water pressure decreases. When there is no water flow, the lowest value is 52.214 Psi, and the highest value is 60.916 Psi. The latest technology integrating the IoT-GIS for smart water monitoring has shown a very efficient way of providing real-time water parameters information, cost and time effective, and allowing for continuous water consumption analysis via the cloud computing service. 2022 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/98458/1/WanAnom2022_SmartWaterNetworkMonitoringACaseStudy.pdf Abdul Aziz, Nur Aida Azlin and Musa, Tajul Ariffin and Musliman, Ivin Amri and Omar, Abdullah Hisam and Wan Aris, Wan Anom (2022) Smart water network monitoring: A case study at Universiti Teknologi Malaysia. In: 2021 Joint International Conference on Geospatial Asia-Europe 2021 and GeoAdvances 2021, 5 - 6 October 2021, Casablanca, Morocco. http://dx.doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-3-2022 |
| spellingShingle | G70.212-70.215 Geographic information system Abdul Aziz, Nur Aida Azlin Musa, Tajul Ariffin Musliman, Ivin Amri Omar, Abdullah Hisam Wan Aris, Wan Anom Smart water network monitoring: A case study at Universiti Teknologi Malaysia |
| title | Smart water network monitoring: A case study at Universiti Teknologi Malaysia |
| title_full | Smart water network monitoring: A case study at Universiti Teknologi Malaysia |
| title_fullStr | Smart water network monitoring: A case study at Universiti Teknologi Malaysia |
| title_full_unstemmed | Smart water network monitoring: A case study at Universiti Teknologi Malaysia |
| title_short | Smart water network monitoring: A case study at Universiti Teknologi Malaysia |
| title_sort | smart water network monitoring a case study at universiti teknologi malaysia |
| topic | G70.212-70.215 Geographic information system |
| url | http://eprints.utm.my/98458/1/WanAnom2022_SmartWaterNetworkMonitoringACaseStudy.pdf |
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