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Study on Design of Smart Water Purifier Monitoring Human’s Health and Behavior

  • Thanh-Long Le,
  • Thi-Hong-Nhi Vuong,
  • Tran-Hanh Phung,
  • Ngo Nhat Anh,
  • Nguyen Viet Phong,
  • Pham Manh Truong

摘要

Water purification technologies have seen significant advancements in recent years, with the emergence of smart water purifiers (SWPs) presenting innovative solutions to the global water crisis. Integrating cutting-edge technologies such as the Internet of Things (IoT) and artificial intelligence, the latest generation of SWPs goes beyond conventional purification capabilities. This article explores the potential of a smart water purifier equipped with user behavior tracking, enabling personalized hydration and promoting sustainable water consumption practices. The incorporation of user behavior tracking within the SWP empowers individuals to gain insights into their daily drinking habits. Through real-time monitoring, the SWP records and analyzes data on water consumption patterns, timings, and quantities. The collected information is presented to users through a user-friendly interface, fostering awareness and encouraging healthier hydration practices. Moreover, the SWP’s data-driven approach tailors water purification processes to meet the specific needs of each user. By utilizing machine learning algorithms, the purifier optimizes the water treatment based on individual preferences and health considerations. This personalized approach not only enhances the overall drinking experience but also ensures a continuous supply of clean and safe water. As a result, the smart water purifier with user behavior tracking represents a breakthrough innovation in the realm of water purification. Empowering users to understand and adapt their drinking habits, it not only promotes healthier lifestyles but also contributes to global water conservation efforts.