Publication:
IoT-Based System for Real-Time Swimming Pool Water Quality Monitoring

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dc.citedby1
dc.contributor.authorJemat A.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorSameon S.S.en_US
dc.contributor.authorAlya Rosnizam N.A.en_US
dc.contributor.authorid55634167100en_US
dc.contributor.authorid16023225600en_US
dc.contributor.authorid36683226000en_US
dc.contributor.authorid57361480800en_US
dc.date.accessioned2023-05-29T09:10:44Z
dc.date.available2023-05-29T09:10:44Z
dc.date.issued2021
dc.descriptionFlow of water; Lakes; Maintenance; Monitoring; Portals; Water quality; Maintenance tasks; Maintenance work; Pool water; Pool water qualities; Real- time; Sensor; Swimming pool water; Water monitoring systems; Water quality monitoring systems; Water quality parameters; Internet of thingsen_US
dc.description.abstractThis paper presents an IoT based real-time water quality monitoring system for swimming pools. For most swimming pools, the maintenance work is done based on fixed schedule irrespective of the water quality condition. This may cause some issues, such as unnecessary waste of water in the case of over maintenance. In the case of under maintenance, the pool water could end up being cloudy, murky, discolored and dirty. A smart water quality monitoring system using an IoT platform is proposed to automatically monitor various water quality parameters and help to optimize maintenance work by suggesting the appropriate maintenance tasks to be performed. Technically, the proposed system consists of a controller connected to multiple sensors which read pool water parameters and transmit the data to a cloud server. The parameters read by the sensors are pH level, temperature, turbidity, chlorine residual and water flow. There is also a Web portal where users can view the collected parameters and the recommended maintenance tasks proposed by the system. In addition to making the monitoring system real time and more accessible to users, this work also aims to provide an appropriate algorithm for suggesting the maintenance task to be performed based on the water quality parameter reading. � 2021, Springer Nature Switzerland AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-90235-3_29
dc.identifier.epage341
dc.identifier.scopus2-s2.0-85120528813
dc.identifier.spage332
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120528813&doi=10.1007%2f978-3-030-90235-3_29&partnerID=40&md5=d8779f2ff800f60adc7db2a52d657ca4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26456
dc.identifier.volume13051 LNCS
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.titleIoT-Based System for Real-Time Swimming Pool Water Quality Monitoringen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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