Monitoring and controlling the desalination plant using IoT

• Published in: Measurement. Sensors Vol. 27; p. 100720
• Main Authors: Murugan, T. Maris, Kiruba Shankar, R., Shivkumar, Poorani, Raja Kumar, S., Gayathri, K., Jeyam, A.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2023; Elsevier
• Subjects: Cloud; Desalination; Internet of things; Sensors; Water; Water; Internet of things; Sensors; Desalination; Cloud
• ISSN: 2665-9174; 2665-9174
• DOI: 10.1016/j.measen.2023.100720

In this paper, the need for innovative technology and ways to accomplish optimized resource use and desalination treatment, which transforms saltwater into clean drinking water, has been underlined by rising water demands and a degrading environment. The Internet of Things (IoT) now permits to automate a variety of formerly moment and source of energy tasks. One of these is improving water treatment management. This research represents an IoT model for monitoring and controlling a desalination plant. This system monitors the water quality parameters like pH values, temperature, and dissolved oxygen parameters, which are helpful to assess water quality and identify fault parameters at the desalination plant. Here, separate sensors are involved to gather the information and store it in the cloud. It also sends SMS notifications and warnings when it detects misfunctioning, and it regulates the gate valves. This is very needed to rectify the errors, prevent the system from failing, and reduce the maintenance costs as well. This proposed system is highly effective compared to others. According to experimental findings, the proposed technique extends the time by 1.0638%, 6.3829%, and 14.8936% compared to the RO, ED, and FACETS methods.