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Smart city article details

Title	Water Management And Control Systems For Smart City Using Io Tand Artificial Intelligence
ID_Doc	61486
Authors	Kumar B.S.; Soumiya S.; Ramalingam S.; Yogeswari S.; Balamurugan S.
Year	2022
Published	International Conference on Edge Computing and Applications, ICECAA 2022 - Proceedings
DOI	http://dx.doi.org/10.1109/ICECAA55415.2022.9936166
Abstract	Most of the city's water system is intermittent and poorly serviced. The worst levels will be attributed to available resource constraints, minimal equipment instrumentation, inadequate system operation, and poor network maintenance. Smart Water Io TManagement (SWIM) work is designed for various applications, including water level indication and water flow monitoring. This requires extensive research into leak detection techniques to prevent leak threats and minimize leaks. This article focuses on implementing and developing Io Tusing Arduino and Node MCU. Its main goal is to create a big city Io Tsystem that helps realize intelligent cities while solving the inconvenience of using online cloud computing in real-time. This article focuses on the remote control of solenoid valves using Io T(Internet of Things) devices. Get real-time water supply data anytime, anywhere through the Internet of Things. The data can be continuously visualized in real-time. Further, the local BLYNK server is used to store the data in the cloud and communicate efficiently between the server and the client. This finely divided system works more efficiently than manual operating systems, saves human resources, and improves the system's accuracy. The system design combines existing Io Tinfrastructure, big data analytics to collect and analyze user needs, and cloud computing to store data for further processing. © 2022 IEEE.
Author Keywords	AI; Blynk; Distribution system; Io T; Leakage control; Smart City; Water Level Monitoring

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