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Articles | Volume XLVI-4/W3-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W3-2021, 3–7, 2022
https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-3-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W3-2021, 3–7, 2022
https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-3-2022
 
10 Jan 2022
10 Jan 2022

SMART WATER NETWORK MONITORING: A CASE STUDY AT UNIVERSITI TEKNOLOGI MALAYSIA

N. A. A. Abdul Aziz1, T. A. Musa1,2, I. A. Musliman1, A. H. Omar1, and W. A. Wan Aris1 N. A. A. Abdul Aziz et al.
  • 1Geomatic Innovation Research Group, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia
  • 2Centre of Tropical Geoengineering (GEOTRPIK), Universiti Teknologi Malaysia

Keywords: IoT, water monitoring, GIS, real-time data, cloud computing

Abstract. 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.