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Real-time water quality monitoring for distribution networks in IoT environment

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dc.contributor.author Gupta, Karunesh Kumar
dc.contributor.author Gupta, Raj Kumar
dc.date.accessioned 2023-02-27T06:52:22Z
dc.date.available 2023-02-27T06:52:22Z
dc.date.issued 2022-04
dc.identifier.uri https://www.inderscienceonline.com/doi/abs/10.1504/IJESD.2022.123939
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9341
dc.description.abstract Water quality has always been a significant concern worldwide as a large portion of accessible water is either contaminated or polluted, which can spread serious diseases like dysentery, diarrhoea and cholera. Before consumption, the water quality should be tested to reduce the risk of infection. In real-time applications, the traditional approach for water quality monitoring is not appropriate, as on-site water sample collection is often a cost-intensive and time-consuming process. This paper introduces a real-time assessment of water quality parameters in distribution systems employing Raspberry Pi and Arduino development boards. The parameters were chosen based on the different categories identified by the Central Pollution and Control Board, Government of India. An Arduino development board was used at the sensing node for water quality sensor interfacing, data acquisition, and transmission to the wireless sensor network via Zigbee. Raspberry Pi was used at the server to collect data and upload data on the cloud platform. The 'Thingspeak' cloud platform was used for IoT implementation. The results were validated with the reference instrument. en_US
dc.language.iso en en_US
dc.publisher Inder Science en_US
dc.subject EEE en_US
dc.subject Physics en_US
dc.subject Water Quality en_US
dc.subject Traditional approach en_US
dc.subject Water quality sensors en_US
dc.subject Raspberry Pi en_US
dc.subject Arduino en_US
dc.subject Zigbee module en_US
dc.title Real-time water quality monitoring for distribution networks in IoT environment en_US
dc.type Article en_US


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