Abstract
Internet of Things (IoT) technology is fast growing as the major force which changes the world. It is gradually entering our daily lives in the form of connected TVs, smart watches, Bluetooth smart light bulbs, and even more intelligent devices such as Wi-Fi air conditioners. This paper presents the design and implementation of a prototype IoT-based system of home water purifiers that enables predictive maintenance, named the i-Water system. The designed system enables water purifier suppliers to monitor and gather information on working status of their customers’ devices in real-time. The profiles of water purifiers are stored and processed by a cloud server on a 24/7 basis. This allows the equipment suppliers to provide better customer support and enhance business efficiency.
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Statista: Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025. https://bit.ly/2dRtPP0. Accessed 20 Aug 2018
Geetha, S., Gouthami, S.: Internet of things enabled real time water quality monitoring system. Smart Water 2, 1. Springer (2017). https://bit.ly/2AEJZJj. Accessed 30 Oct 2018
Iotfy - Smart RO Kit. Introducing smart RO kit for water purifier manufacturers. https://smartrokit.com/. Accessed 30 Oct 2018
Ayla Networks: Ayla Networks to connect Ozner smart water filtration to the Internet of Things. https://bit.ly/2agdV36. Accessed 20 Aug 2018
Sierra Wireless: IoT enables predictive maintenance to support new premium service offering. https://bit.ly/2PBg4dn. Accessed 20 Aug 2018
Mitte: Smart water machine: A key device of the smart home of the future. https://mitte.co/. Accessed 30 Oct 2018
Viettel Cloud Server. https://viettelidc.com.vn/cloud-server. Accessed 20 Aug 2018
Eplusi Technology: User’s guides for the i-Water smart home apps. In: Vietnamese (2017)
Eplusi Technology: User’s guides for the i-Water server software. In: Vietnamese (2017)
Acknowledgements
The work reflects the result of the Project carried out by Eplusi Technology Company, Kangaroo Group and researchers at the College of Engineering, Can Tho University. The authors wish to thank Dr. Doan Van Tuan and Ms. Nguyen Hai Nhu at Kangaroo Group for their valuable collaboration.
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Danh, L.V.Q., Dung, D.V.M., Khanh, N.D. (2020). Design and Implementation of an IoT-Based Water Purifier System Enabling Predictive Maintenance. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le, DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-32-9186-7_15
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DOI: https://doi.org/10.1007/978-981-32-9186-7_15
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