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Real-Time Smart Water Management System (SWMS) for Smart Home

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Recent Developments in Water Resources and Transportation Engineering (TRACE 2022)

Abstract

Water plays a vital role in ensuring a healthy human life. Many water- related issues have been faced by developing countries like poor infrastructure for water, scarcity of drinking water, water pollution, falling water table, and low levels of water security. Over-pumping of groundwater leads to the depletion of the groundwater table. Unfortunately, this situation is worsening. Recently, the trend toward smart and sustainable housing is gaining traction. IoT-based sensors and system automation are a key to such smart constructions. This paper gives a general framework for a Real-time Smart Water Management system (SWMS) for smart homes with the help of sensors added to the water distribution system in a home/villa. Sensors are broadly categorized into three classes, namely Quality Sensors (SQ), Quantity Sensors (QS), and Overflow Sensors (SO). Installation of sensors in the system can be done to prevent overflowing by measuring the water level in terms of capacity. The quality of water can be maintained in terms of certain parameters namely Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Turbidity, pH, Conductivity/Salinity, suspended solids, and oil. The sensors will classify the water emanating from various domestic fixtures as poor or better quality and cause their disposal or reuse accordingly and automatically. Application of the proposed system to smart homes would enable the monitoring of overflowing and quality of water, thereby providing measures for its conservation and reuse. Moreover, it provides an awareness highlight to users about water management in their smart homes.

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Correspondence to Anupriya Verma .

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Verma, A., Singh, A.K., Pathak, A.K., Saini, G. (2024). Real-Time Smart Water Management System (SWMS) for Smart Home. In: Nagabhatla, N., Mehta, Y., Yadav, B.K., Behl, A., Kumari, M. (eds) Recent Developments in Water Resources and Transportation Engineering. TRACE 2022. Lecture Notes in Civil Engineering, vol 353. Springer, Singapore. https://doi.org/10.1007/978-981-99-2905-4_10

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  • DOI: https://doi.org/10.1007/978-981-99-2905-4_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2904-7

  • Online ISBN: 978-981-99-2905-4

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