WQMS: A Water Quality Monitoring System using IoT


Subramaniam, Samini and Chew, Lit Jie and Haw, Su Cheng and Ziauddin, Muhamad Tasnim (2019) WQMS: A Water Quality Monitoring System using IoT. In: International Conference on Computational Intelligence and Intelligent Systems (CIIS), 23-25 Nov 2019, Bangkok, Thailand.

[img] Text
69.pdf - Published Version
Restricted to Repository staff only

Download (701kB)


Water quality management is an important aspect in sustaining any modern civilization. Throughout human history, having access to clean water has always been a requirement for survival and that will not change anytime soon, therefore monitoring water quality and responding to potential pollution outbreak in a water supply can be equally crucial. Over the last few decades computing devices have come down in size, cost and power consumption while increasing computational performance. Having a monitoring system that is always connected to the Internet, such as an IoT based system, could provide potential users with the ability to monitor water quality anywhere in real time. Such system has the potential to cut down response time by having a real time alert system as compared to manual sample collection with analysis and as the nature of IoT being low cost and small footprint, implementing such system requires minimal investment. In this paper, we propose a potentially cost effective solution to manage water quality using IoT and predicts the future quality of water based on the historical data

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Internet of things, IoT, Sensor, Prediction, Visualization, Water Quality.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 07 Oct 2021 01:00
Last Modified: 07 Oct 2021 01:00
URII: http://shdl.mmu.edu.my/id/eprint/9497


Downloads per month over past year

View ItemEdit (login required)